Educational Attainment in Ohio (State)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of the United States and Ohio
Ohio
United States
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma235.063314%38.491851%35.063314%35.1%2,751,7852.75M54.422540%48.487559%54.422540%54.4%4,271,1064.27M10.514146%13.020590%10.514146%10.5%825,155825k
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 the United States at large.
Scope: population of the United States and Ohio
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-8.907176%-8.907176%-8.9%35.063%35.1%38.492%38.5%12.240215%12.240215%+12.2%54.423%54.4%48.488%48.5%-19.249853%-19.249853%-19.2%10.514%10.5%13.021%13.0%
% percentage with given level in Ohio
ref. percentage with given level in the United States
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 the United States and Ohio
Ohio
United States
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.076166%1.339910%1.076166%1.1%84,45884.5k1.607075%1.996248%1.607075%1.6%126,124126k7.279494%8.167687%7.279494%7.3%571,298571k16.704731%18.811177%16.704731%16.7%1,310,9951.31M8.395848%8.176828%8.395848%8.4%658,910659k20.603422%20.956248%20.603422%20.6%1,616,9661.62M33.819119%27.531311%33.819119%33.8%2,654,1402.65M7.545636%7.444199%7.545636%7.5%592,185592k2.095069%4.152553%2.095069%2.1%164,422164k0.873440%1.423839%0.873440%0.9%68,54868.5k
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 the United States at large.
Scope: population of the United States and Ohio
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-19.683733%-19.683733%-19.7%1.076%1.08%1.340%1.34%-19.495198%-19.495198%-19.5%1.607%1.61%1.996%2.00%-10.874482%-10.874482%-10.9%7.279%7.28%8.168%8.17%-11.197843%-11.197843%-11.2%16.705%16.7%18.811%18.8%2.678538%2.678538%+2.7%8.396%8.40%8.177%8.18%-1.683634%-1.683634%-1.7%20.603%20.6%20.956%21.0%22.838752%22.838752%+22.8%33.819%33.8%27.531%27.5%1.362638%1.362638%+1.4%7.546%7.55%7.444%7.44%-49.547440%-49.547440%-49.5%2.095%2.10%4.153%4.15%-38.655944%-38.655944%-38.7%0.873%0.87%1.424%1.42%
% percentage with given level in Ohio
ref. percentage with given level in the United States
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 the United States and Ohio
More Females More Males
United States
Ohio
5%0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-7.885240%-5.680584%-7.885240%8%36.337%36.3%33.681%33.7%2.984493%1.610756%2.984493%3%53.655%53.7%55.256%55.3%10.536340%10.907029%10.536340%11%10.008%10.0%11.063%11.1%
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 the United States and Ohio
More Females More Males
United States
Ohio
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None65.373714%59.026528%65.373714%65%0.819%0.82%1.355%1.35%68.015763%48.492399%68.015763%68%1.212%1.21%2.036%2.04%-21.244079%-17.934489%-21.244079%21%7.947%7.95%6.555%6.55%-2.272661%0.726598%0.726598%1%16.647%16.6%16.768%16.8%-39.383112%-24.239049%-39.383112%39%9.712%9.71%6.968%6.97%-0.103999%-2.923199%-0.103999%0%20.614%20.6%20.592%20.6%4.911287%5.130854%4.911287%5%33.041%33.0%34.664%34.7%10.693269%14.904521%10.693269%11%7.178%7.18%7.945%7.95%11.385964%7.698033%11.385964%11%1.987%1.99%2.213%2.21%7.203042%0.412373%7.203042%7%0.844%0.84%0.905%0.91%
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 the United States and Ohio
Ohio
United States
0%5%10%15%20%B.X.Total65+45-6435-4425-3411.168673%13.738218%11.168673%11.2%200,627201k1,796,3371.80M15.925332%18.106858%15.925332%15.9%505,825506k3,176,2293.18M19.733657%21.025394%19.733657%19.7%277,501278k1,406,2321.41M22.259142%23.496099%22.259142%22.3%327,042327k1,469,2481.47M
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 the United States at large.
Scope: population of the United States and Ohio
15%10%5%0%%ref.65+45-6435-4425-34-18.703630%-18.703630%18.7%11.169%11.2%13.738%13.7%-12.048070%-12.048070%12.0%15.925%15.9%18.107%18.1%-6.143701%-6.143701%6.1%19.734%19.7%21.025%21.0%-5.264519%-5.264519%5.3%22.259%22.3%23.496%23.5%
% percentage in Ohio with a Bachelor's degree
ref percentage in the United States 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 the United States and Ohio
More Females More Males
United States
Ohio
10%0%10%20%30%FM65+45-6435-4425-3436.828803%36.270984%36.828803%36.8%9.633%9.63%13.180%13.2%-0.054549%-3.335944%-0.054549%0.1%15.930%15.9%15.921%15.9%-14.012939%-14.693218%-14.012939%14.0%21.016%21.0%18.433%18.4%-14.499975%-19.571742%-14.499975%14.5%23.768%23.8%20.758%20.8%
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 the United States and Ohio
Ohio
United States
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$63,821.000000$67,832.000000$63,821.000000$63.8k781,880782k9.963%9.96%$50,107.000000$51,094.000000$50,107.000000$50.1k1,310,9951.31M16.705%16.7%$32,706.000000$34,412.000000$32,706.000000$32.7k2,275,8762.28M28.999%29.0%$28,919.000000$28,672.000000$28,919.000000$28.9k2,654,1402.65M33.819%33.8%$20,344.000000$20,924.000000$20,344.000000$20.3k825,155825k10.514%10.5%$35,841.000000$36,810.000000$35,841.000000$35.8k7,848,0467.85M100.000%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 the United States and Ohio
Female Male
United States
Ohio
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-55,571.000000$-56,859.000000$-55,571.000000$55.6k$55,571.000000$22,109.000000$56,859.000000$28,268.000000$77,680.000000$77.7k407,551408k374,329374k$-40,856.000000$-42,154.000000$-40,856.000000$40.9k$40,856.000000$20,405.000000$42,154.000000$20,088.000000$61,261.000000$61.3k679,907680k631,088631k$-27,361.000000$-28,692.000000$-27,361.000000$27.4k$27,361.000000$13,780.000000$28,692.000000$13,039.000000$41,141.000000$41.1k1,238,5951.24M1,037,2811.04M$-22,081.000000$-22,571.000000$-22,081.000000$22.1k$22,081.000000$13,410.000000$22,571.000000$11,439.000000$35,491.000000$35.5k1,349,4991.35M1,304,6411.30M$-15,062.000000$-15,831.000000$-15,062.000000$15.1k$15,062.000000$9,409.000000$15,831.000000$8,813.000000$24,471.000000$24.5k408,777409k416,378416k$-29,749.000000$-31,001.000000$-29,749.000000$29.7k$29,749.000000$12,566.000000$31,001.000000$11,649.000000$42,315.000000$42.3k4,084,3294.08M3,763,7173.76M
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 the United States and Ohio
Ohio
United States
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma351.152074%37.814107%51.152074%51.2%3,21941.442873%48.434369%41.442873%41.4%2,6087.039568%13.428920%7.039568%7.0%4430.365485%0.322604%0.365485%0.4%23
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 the United States and Ohio
Ohio
United States
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.712194%83.226008%84.712194%84.7%1,471,6161.47M75.098475%74.180718%75.098475%75.1%1,409,3101.41M67.335954%66.788302%67.335954%67.3%1,287,7551.29M44.096181%53.682838%44.096181%44.1%231,710232k
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 the United States and Ohio
Female Male
United States
Ohio
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-8.849949%-7.511854%-8.849949%8.8%8.849949%0.838407%7.511854%0.943343%9.688356%9.7%304,139304k299,302299k-14.710486%-14.435509%-14.710486%14.7%14.710486%2.396424%14.435509%2.667013%17.106910%17.1%68,33868.3k69,45669.5k-10.995328%-3.238870%-11.797853%-3.589964%-14.234198%14.2%10.995328%11.797853%10.995328%11.0%7,76611,28911.3k-23.269744%-32.762282%-23.269744%23.3%23.269744%5.740390%32.762282%3.005458%29.010134%29.0%30,28630.3k22,92022.9k-16.869350%-28.306632%-16.869350%16.9%16.869350%3.904344%28.306632%3.081081%20.773694%20.8%18,25818.3k14,48214.5k
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 the United States and Ohio
Female Male
United States
Ohio
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-27.409880%-33.484422%-27.409880%27.4%27.409880%0.383981%33.484422%0.720781%27.793861%27.8%872,511873k926,992927k-14.337282%-3.326272%-17.420662%-4.733632%-17.663554%17.7%14.337282%17.420662%14.337282%14.3%57,27457.3k83,39983.4k-55.571247%-49.840415%-55.571247%55.6%55.571247%11.025101%49.840415%4.827592%66.596347%66.6%47,03747.0k44,07344.1k-15.825016%-4.164425%-13.383648%-2.666528%-19.989441%20.0%15.825016%13.383648%15.825016%15.8%16,52116.5k19,68919.7k-18.226192%-3.481943%-14.758714%-3.083866%-21.708135%21.7%18.226192%14.758714%18.226192%18.2%16,01916.0k18,63618.6k
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County in Ohio

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

Percentage of the population 25 years and older with given highest level of educational attainment
12%22%31%40%50%60%

Coarse: High School Diploma Educational Attainment by County#17

Percentage of the population 25 years and older with given highest level of educational attainment
37%44%50%57%63%70%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3%11%19%26%34%42%

Detailed: Doctorate Degree Educational Attainment by County#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.9%1.7%2.6%3.4%4.3%

Detailed: Professional Degree Educational Attainment by County#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%0.8%1.4%2.0%2.5%3.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.9%4.3%6.7%9.1%11.5%13.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5%11%17%22%28%34%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%6.1%7.8%9.5%11.3%13.0%

Detailed: Some College Educational Attainment by County#24

Percentage of the population 25 years and older with given highest level of educational attainment
10.0%13.1%16.2%19.2%22.3%25.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
20%27%33%39%45%52%

Detailed: Some High School Educational Attainment by County#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.5%5.1%7.6%10.1%12.7%15.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%14%20%27%34%

Detailed: None Educational Attainment by County#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.22%0.58%0.93%1.28%1.63%1.99%
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Educational Attainment by Place in Ohio

There are 1,215 places in Ohio. This section compares the 50 most populous of those to each other, Ohio, and other entities that contain or substantially overlap with Ohio. The least populous of the compared places has a population of 30,302.

No H.S. Diploma by Place#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Ohio, selected places in Ohio, and entities that contain Ohio
0%5%10%15%20%Count#ClevelandLorainMiddletownYoungstownSpringfieldDaytonMarionMansfieldLimaCantonHamiltonWarrenToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkFairbornLancasterColumbusMassillonEast North CentralEuclidOhioMidwestParmaFindlayFairfieldBrunswickNorth RidgevilleN RidgevilleNorth OlmstedHuber HeightsNorth RoyaltonN RoyaltonDelawareCleveland HeightsCleveland HtsReynoldsburgCuyahoga FallsLakewoodBowling GreenBoardmanKetteringGrove CityMentorStowGahannaStrongsvilleHilliardWestlakeWestervilleBeavercreekMasonDublinUpper Arlington21.582420%21.582420%21.6%54,98155.0k117.551080%17.551080%17.6%7,207217.505092%17.505092%17.5%5,672316.999061%16.999061%17.0%7,424416.947843%16.947843%16.9%6,580516.928359%16.928359%16.9%14,88914.9k616.804538%16.804538%16.8%4,266716.499446%16.499446%16.5%5,361816.278163%16.278163%16.3%3,757915.631958%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%4,1061712.542203%12.542203%12.5%2,7491812.375999%12.375999%12.4%3,3311911.226988%11.226988%11.2%61,30861.3k2010.749201%10.749201%10.7%2,3532110.719464%10.719464%10.7%3,363,7843.36M10.656581%10.656581%10.7%3,5222210.514146%10.514146%10.5%825,155825k10.244520%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%2,559258.335419%8.335419%8.3%1,998267.718312%7.718312%7.7%1,758277.388745%7.388745%7.4%1,745287.076638%7.076638%7.1%1,832296.923626%6.923626%6.9%1,552306.400307%6.400307%6.4%1,501316.307136%6.307136%6.3%1,918326.219040%6.219040%6.2%1,494336.197364%6.197364%6.2%2,215346.109570%6.109570%6.1%2,246356.072332%6.072332%6.1%816366.069261%6.069261%6.1%1,530375.903575%5.903575%5.9%2,340385.537434%5.537434%5.5%1,443395.268752%5.268752%5.3%1,834405.056687%5.056687%5.1%1,231414.753432%4.753432%4.8%1,122424.066023%4.066023%4.1%1,313433.746734%3.746734%3.7%803443.561575%3.561575%3.6%852453.335376%3.335376%3.3%871462.741479%2.741479%2.7%900472.512136%2.512136%2.5%533481.498442%1.498442%1.5%428491.346130%1.346130%1.3%32450
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Ohio, selected places in Ohio, and entities that contain Ohio
0%20%40%60%Count#DublinUpper ArlingtonMasonWestlakeWestervilleHilliardCleveland HeightsCleveland HtsBeavercreekGahannaStrongsvilleLakewoodStowBowling GreenNorth RoyaltonN RoyaltonColumbusDelawareCincinnatiKetteringNorth RidgevilleN RidgevilleCuyahoga FallsMentorReynoldsburgUnited States of AmericaUnited StatesGrove CityBoardmanNorth OlmstedMidwestEast North CentralFairfieldFairbornFindlayOhioHuber HeightsBrunswickEuclidAkronParmaNewarkToledoDaytonMiddletownLancasterMassillonClevelandElyriaHamiltonSpringfieldCantonMansfieldWarrenYoungstownLorainLimaMarion75.310717%75.310717%75.3%21,51121.5k174.003905%74.003905%74.0%17,81217.8k259.329783%59.329783%59.3%12,58812.6k352.478890%52.478890%52.5%12,55412.6k452.469939%52.469939%52.5%13,70213.7k552.062337%52.062337%52.1%11,15811.2k650.973364%50.973364%51.0%15,50115.5k750.041122%50.041122%50.0%16,42816.4k846.110829%46.110829%46.1%10,88410.9k944.614765%44.614765%44.6%14,40714.4k1043.651053%43.651053%43.7%16,04716.0k1142.934604%42.934604%42.9%10,45210.5k1242.357494%42.357494%42.4%5,6921335.960921%35.960921%36.0%8,0611434.813955%34.813955%34.8%190,111190k1534.346751%34.346751%34.3%8,0551633.783048%33.783048%33.8%64,52964.5k1733.630194%33.630194%33.6%13,33013.3k1832.559161%32.559161%32.6%7,4161932.380180%32.380180%32.4%11,57311.6k2032.238789%32.238789%32.2%11,22211.2k2131.369937%31.369937%31.4%7,5362230.315023%30.315023%30.3%64,767,78764.8M29.909053%29.909053%29.9%7,7942329.580705%29.580705%29.6%7,4572429.008765%29.008765%29.0%6,8512528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,2882626.822703%26.822703%26.8%5,8792726.775738%26.775738%26.8%7,3812826.667466%26.667466%26.7%2,092,8752.09M23.578492%23.578492%23.6%6,1042923.454318%23.454318%23.5%5,6223020.614221%20.614221%20.6%6,8133120.213821%20.213821%20.2%26,69726.7k3219.988457%19.988457%20.0%11,42911.4k3318.053148%18.053148%18.1%5,7273418.048021%18.048021%18.0%33,17133.2k3517.635555%17.635555%17.6%15,51115.5k3616.761311%16.761311%16.8%5,4313716.462939%16.462939%16.5%4,4313816.340795%16.340795%16.3%3,5773916.073076%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%2,645499.402820%9.402820%9.4%2,38750
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#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 Ohio, selected places in Ohio, and entities that contain Ohio
0%5%10%15%Count#Upper ArlingtonCleveland HeightsCleveland HtsDublinWestlakeMasonHilliardBeavercreekBowling GreenWestervilleLakewoodCincinnatiStrongsvilleStowNorth RoyaltonN RoyaltonKetteringGahannaColumbusUnited States of AmericaUnited StatesDelawareMidwestBoardmanEast North CentralReynoldsburgOhioNorth RidgevilleN RidgevilleCuyahoga FallsFairbornAkronNorth OlmstedGrove CityClevelandMentorFindlayToledoSpringfieldFairfieldEuclidLimaHuber HeightsDaytonCantonHamiltonParmaNewarkLancasterMansfieldBrunswickLorainElyriaMiddletownMassillonYoungstownWarrenMarion16.893099%16.893099%16.9%4,066110.753042%10.753042%10.8%3,27029.837902%9.837902%9.8%2,81037.950840%7.950840%8.0%1,90247.098082%7.098082%7.1%1,50657.068869%7.068869%7.1%1,51566.686162%6.686162%6.7%2,19575.789552%5.789552%5.8%77885.100712%5.100712%5.1%1,33295.051412%5.051412%5.1%1,857104.729595%4.729595%4.7%9,034114.555308%4.555308%4.6%1,471124.444627%4.444627%4.4%1,082134.157744%4.157744%4.2%932143.829755%3.829755%3.8%1,518153.613794%3.613794%3.6%853163.353556%3.353556%3.4%18,31318.3k173.336158%3.336158%3.3%7,127,6737.13M3.018932%3.018932%3.0%708182.893416%2.893416%2.9%1,311,0191.31M2.875957%2.875957%2.9%725192.855432%2.855432%2.9%896,039896k2.830621%2.830621%2.8%680202.683241%2.683241%2.7%210,582211k2.603504%2.603504%2.6%593212.481744%2.481744%2.5%887222.189981%2.189981%2.2%480232.163955%2.163955%2.2%2,858242.108651%2.108651%2.1%498252.087571%2.087571%2.1%544261.927780%1.927780%1.9%4,911271.815622%1.815622%1.8%632281.675978%1.675978%1.7%462291.642065%1.642065%1.6%3,018301.545396%1.545396%1.5%600311.477698%1.477698%1.5%434321.388805%1.388805%1.4%459331.304159%1.304159%1.3%301341.290173%1.290173%1.3%334351.257490%1.257490%1.3%1,106361.245933%1.245933%1.2%582371.241352%1.241352%1.2%506381.236490%1.236490%1.2%707391.182108%1.182108%1.2%375401.159205%1.159205%1.2%312411.104887%1.104887%1.1%359421.001252%1.001252%1.0%240430.964372%0.964372%1.0%396440.952302%0.952302%1.0%343450.944386%0.944386%0.9%306460.872545%0.872545%0.9%191470.794541%0.794541%0.8%347480.742101%0.742101%0.7%202490.539668%0.539668%0.5%13750
Count number of people in category
# rank of place 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 Place#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 Ohio, selected places in Ohio, and entities that contain Ohio
Female
Male
1x0x1xFM#MansfieldBeavercreekCleveland HtsWestlakeDelawareMarionToledoFindlayLorainYoungstownFairfieldNorth OlmstedElyriaStowLancasterMidwestMasonEast North CentralSpringfieldMiddletownWarrenN RidgevilleDaytonCantonUnited StatesOhioLimaParmaColumbusClevelandMentorNewarkHuber HeightsHamiltonCincinnatiAkronEuclidBrunswickMassillonCuyahoga FallsHilliardN RoyaltonGahannaGrove CityReynoldsburgStrongsvilleWestervilleFairbornLakewoodUpper ArlingtonDublinBowling GreenKetteringBoardman-1.000000x-1.000000x1.592708x1.592708x1.59x12.530%12.5%19.956%20.0%1-1.000000x-1.000000x1.527763x1.527763x1.53x2.172%2.17%3.319%3.32%2-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%3-1.000000x-1.000000x1.381991x1.381991x1.38x3.030%3.03%4.188%4.19%4-1.000000x-1.000000x1.238029x1.238029x1.24x5.749%5.75%7.118%7.12%5-1.000000x-1.000000x1.234096x1.234096x1.23x14.803%14.8%18.268%18.3%6-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%7-1.000000x-1.000000x1.222843x1.222843x1.22x8.133%8.13%9.946%9.95%8-1.000000x-1.000000x1.207850x1.207850x1.21x16.045%16.0%19.380%19.4%9-1.000000x-1.000000x1.194114x1.194114x1.19x15.554%15.6%18.574%18.6%10-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%11-1.000000x-1.000000x1.168106x1.168106x1.17x6.835%6.84%7.985%7.98%12-1.000000x-1.000000x1.166450x1.166450x1.17x12.379%12.4%14.439%14.4%13-1.000000x-1.000000x1.163623x1.163623x1.16x4.700%4.70%5.469%5.47%14-1.000000x-1.000000x1.144160x1.144160x1.14x11.593%11.6%13.265%13.3%15-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125850x1.125850x1.13x2.371%2.37%2.669%2.67%16-1.000000x-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-1.000000x1.124404x1.124404x1.12x16.522%16.5%18.577%18.6%18-1.000000x-1.000000x1.124390x1.124390x1.12x14.230%14.2%16.000%16.0%19-1.000000x-1.000000x1.115916x1.115916x1.12x7.306%7.31%8.152%8.15%20-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%21-1.000000x-1.000000x1.109752x1.109752x1.11x14.885%14.9%16.518%16.5%22-1.000000x-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-1.000000x1.087544x1.087544x1.09x15.592%15.6%16.957%17.0%23-1.000000x-1.000000x1.081824x1.081824x1.08x9.568%9.57%10.350%10.4%24-1.000000x-1.000000x1.050970x1.050970x1.05x10.959%11.0%11.517%11.5%25-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%26-1.000000x-1.000000x1.038813x1.038813x1.04x5.175%5.17%5.376%5.38%27-1.000000x-1.000000x1.036562x1.036562x1.04x12.733%12.7%13.198%13.2%28-1.000000x-1.000000x1.020978x1.020978x1.02x7.008%7.01%7.155%7.16%29-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%30-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%31-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%32-1.084060x-1.084060x1.08x1.000000x1.000000x11.029%11.0%10.174%10.2%33-1.093341x-1.093341x1.09x1.000000x1.000000x8.693%8.69%7.950%7.95%34-1.128210x-1.128210x1.13x1.000000x1.000000x11.360%11.4%10.069%10.1%35-1.132510x-1.132510x1.13x1.000000x1.000000x6.567%6.57%5.799%5.80%36-1.143812x-1.143812x1.14x1.000000x1.000000x3.992%3.99%3.490%3.49%37-1.176302x-1.176302x1.18x1.000000x1.000000x7.451%7.45%6.334%6.33%38-1.180542x-1.180542x1.18x1.000000x1.000000x5.126%5.13%4.342%4.34%39-1.199261x-1.199261x1.20x1.000000x1.000000x5.999%6.00%5.002%5.00%40-1.208903x-1.208903x1.21x1.000000x1.000000x6.759%6.76%5.591%5.59%41-1.209810x-1.209810x1.21x1.000000x1.000000x4.433%4.43%3.664%3.66%42-1.225911x-1.225911x1.23x1.000000x1.000000x3.646%3.65%2.974%2.97%43-1.273082x-1.273082x1.27x1.000000x1.000000x13.989%14.0%10.988%11.0%44-1.275391x-1.275391x1.28x1.000000x1.000000x6.820%6.82%5.347%5.35%45-1.283067x-1.283067x1.28x1.000000x1.000000x1.500%1.50%1.169%1.17%46-1.381902x-1.381902x1.38x1.000000x1.000000x1.730%1.73%1.252%1.25%47-1.410208x-1.410208x1.41x1.000000x1.000000x7.022%7.02%4.979%4.98%48-1.504519x-1.504519x1.50x1.000000x1.000000x6.979%6.98%4.639%4.64%49-1.737712x-1.737712x1.74x1.000000x1.000000x7.562%7.56%4.352%4.35%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by Place#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 Ohio, selected places in Ohio, and entities that contain Ohio
Female
Male
1x0x1x2x3xFM#ElyriaBoardmanSpringfieldYoungstownLorainDelawareMiddletownFairbornNorth OlmstedLancasterFindlayKetteringGahannaDaytonNewarkEuclidStowHilliardAkronWestervilleUpper ArlingtonDublinStrongsvilleReynoldsburgBeavercreekWestlakeOhioFairfieldMansfieldHuber HeightsLakewoodEast North CentralBowling GreenMidwestBrunswickWarrenN RidgevilleUnited StatesParmaColumbusCleveland HtsGrove CityMentorClevelandCincinnatiMasonMarionMassillonToledoHamiltonN RoyaltonCantonCuyahoga FallsLima-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%1-1.000000x-1.000000x3.433844x3.433844x3.43x1.349%1.35%4.633%4.63%2-1.000000x-1.000000x3.025650x3.025650x3.03x0.799%0.80%2.417%2.42%3-1.000000x-1.000000x2.809581x2.809581x2.81x0.426%0.43%1.196%1.20%4-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%5-1.000000x-1.000000x2.649941x2.649941x2.65x1.691%1.69%4.482%4.48%6-1.000000x-1.000000x2.616113x2.616113x2.62x0.533%0.53%1.393%1.39%7-1.000000x-1.000000x2.583107x2.583107x2.58x1.242%1.24%3.208%3.21%8-1.000000x-1.000000x2.498101x2.498101x2.50x1.225%1.22%3.060%3.06%9-1.000000x-1.000000x2.442537x2.442537x2.44x0.692%0.69%1.690%1.69%10-1.000000x-1.000000x2.437656x2.437656x2.44x0.991%0.99%2.417%2.42%11-1.000000x-1.000000x2.230703x2.230703x2.23x2.446%2.45%5.457%5.46%12-1.000000x-1.000000x2.046453x2.046453x2.05x2.414%2.41%4.939%4.94%13-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%14-1.000000x-1.000000x1.967904x1.967904x1.97x0.822%0.82%1.618%1.62%15-1.000000x-1.000000x1.903271x1.903271x1.90x0.997%1.00%1.897%1.90%16-1.000000x-1.000000x1.897932x1.897932x1.90x3.139%3.14%5.957%5.96%17-1.000000x-1.000000x1.852579x1.852579x1.85x4.988%4.99%9.241%9.24%18-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%19-1.000000x-1.000000x1.845574x1.845574x1.85x3.667%3.67%6.768%6.77%20-1.000000x-1.000000x1.802942x1.802942x1.80x12.297%12.3%22.171%22.2%21-1.000000x-1.000000x1.790609x1.790609x1.79x7.116%7.12%12.741%12.7%22-1.000000x-1.000000x1.769961x1.769961x1.77x3.331%3.33%5.895%5.90%23-1.000000x-1.000000x1.744305x1.744305x1.74x2.106%2.11%3.673%3.67%24-1.000000x-1.000000x1.733476x1.733476x1.73x4.901%4.90%8.496%8.50%25-1.000000x-1.000000x1.716333x1.716333x1.72x5.983%5.98%10.269%10.3%26-1.000000x-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%27-1.000000x-1.000000x1.650301x1.650301x1.65x0.820%0.82%1.353%1.35%28-1.000000x-1.000000x1.635346x1.635346x1.64x0.996%1.00%1.629%1.63%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-1.000000x1.596499x1.596499x1.60x4.533%4.53%7.237%7.24%31-1.000000x-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%32-1.000000x-1.000000x1.543502x1.543502x1.54x0.592%0.59%0.914%0.91%33-1.000000x-1.000000x1.536235x1.536235x1.54x2.064%2.06%3.171%3.17%34-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%35-1.000000x-1.000000x1.429727x1.429727x1.43x2.780%2.78%3.974%3.97%36-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%37-1.000000x-1.000000x1.382456x1.382456x1.38x1.773%1.77%2.452%2.45%38-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%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-1.000000x1.186547x1.186547x1.19x6.522%6.52%7.739%7.74%42-1.000000x-1.000000x1.158662x1.158662x1.16x0.494%0.49%0.573%0.57%43-1.000000x-1.000000x1.150771x1.150771x1.15x0.814%0.81%0.937%0.94%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%46-1.000000x-1.000000x1.005152x1.005152x1.01x4.148%4.15%4.169%4.17%47-1.103703x-1.103703x1.10x1.000000x1.000000x1.302%1.30%1.180%1.18%48-1.188945x-1.188945x1.19x1.000000x1.000000x2.687%2.69%2.260%2.26%49-1.404867x-1.404867x1.40x1.000000x1.000000x1.525%1.53%1.086%1.09%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Educational Attainment by Metro Area in Ohio

There are 47 metro areas that are fully or partially contained within Ohio (41 fully and 6 partially). This section compares all 47 of those to each other, Ohio, and other entities that contain or substantially overlap with Ohio.

No H.S. Diploma by Metro Area#34

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Ohio, selected metro areas in Ohio, and entities that contain Ohio
0%5%10%15%Count#Point Pleasant Metro AreaPoint PleasantPortsmouth Metro AreaPortsmouthJackson Metro AreaJackson AreaCambridge Metro AreaCambridgeWooster Metro AreaWooster AreaAshtabula Metro AreaAshtabulaCoshocton Metro AreaCoshoctonChillicothe Metro AreaChillicotheNew Philadelphia and Dover Metro AreaNew PhiladelphiaHuntington and Ashland Metro AreaHuntingtonZanesville Metro AreaZanesvilleMarion Metro AreaMarion AreaUnited States of AmericaUnited StatesMansfield Metro AreaMansfieldSpringfield Metro AreaSpringfieldWashington Court House Metro AreaWashington Court …Ashland Metro AreaAshland AreaSalem Metro AreaSalem AreaNorwalk Metro AreaNorwalk AreaBucyrus Metro AreaBucyrus AreaWilmington Metro AreaWilmingtonGreenville Metro AreaGreenvilleUrbana Metro AreaUrbana AreaWeirton and Steubenville Metro AreaWeirton AreaEast North CentralLima Metro AreaLima AreaFremont Metro AreaFremont AreaOhioYoungstown, Warren, and Boardman Metro AreaYoungstownCleveland and Elyria Metro AreaClevelandMount Vernon Metro AreaMount VernonBellefontaine Metro AreaBellefontaineAthens Metro AreaAthens AreaMidwestDefiance Metro AreaDefiance AreaToledo Metro AreaToledo AreaCincinnati Metro AreaCincinnatiDayton Metro AreaDayton AreaCanton and Massillon Metro AreaCanton AreaMarietta Metro AreaMarietta AreaWheeling Metro AreaWheeling AreaSandusky Metro AreaSandusky AreaColumbus Metro AreaColumbus AreaSidney Metro AreaSidney AreaTiffin Metro AreaTiffin AreaAkron Metro AreaAkron AreaVan Wert Metro AreaVan Wert AreaCelina Metro AreaCelina AreaPort Clinton Metro AreaPort ClintonFindlay Metro AreaFindlay AreaWapakoneta Metro AreaWapakoneta17.441222%17.441222%17.4%6,988115.880426%15.880426%15.9%8,436215.751361%15.751361%15.8%3,502315.518505%15.518505%15.5%4,235414.573422%14.573422%14.6%11,02811.0k514.566860%14.566860%14.6%10,02210.0k614.270403%14.270403%14.3%3,595714.253056%14.253056%14.3%7,731814.068037%14.068037%14.1%9,011913.502945%13.502945%13.5%33,97834.0k1013.498115%13.498115%13.5%7,8421113.413630%13.413630%13.4%6,1921213.020590%13.020590%13.0%27,818,38027.8M12.809922%12.809922%12.8%10,88610.9k1312.792826%12.792826%12.8%11,88311.9k1412.604701%12.604701%12.6%2,4831512.567763%12.567763%12.6%4,4281612.374124%12.374124%12.4%9,3021712.286515%12.286515%12.3%4,8201811.530956%11.530956%11.5%3,4271911.526682%11.526682%11.5%3,1992011.073863%11.073863%11.1%3,9312110.851344%10.851344%10.9%2,8872210.763040%10.763040%10.8%9,3352310.719464%10.719464%10.7%3,363,7843.36M10.716657%10.716657%10.7%7,4262410.672042%10.672042%10.7%4,3942510.514146%10.514146%10.5%825,155825k10.480092%10.480092%10.5%40,85840.9k2610.442639%10.442639%10.4%149,100149k2710.433639%10.433639%10.4%4,1242810.429764%10.429764%10.4%3,2352910.342892%10.342892%10.3%3,6863010.244520%10.244520%10.2%4,641,8354.64M10.158031%10.158031%10.2%2,6293110.029971%10.029971%10.0%39,95840.0k329.940523%9.940523%9.9%141,727142k339.844056%9.844056%9.8%53,48053.5k349.808753%9.808753%9.8%27,34727.3k359.795325%9.795325%9.8%4,245369.704593%9.704593%9.7%10,13810.1k379.415905%9.415905%9.4%5,057389.314501%9.314501%9.3%123,226123k399.300022%9.300022%9.3%3,004409.244310%9.244310%9.2%3,424418.814416%8.814416%8.8%42,18842.2k428.459881%8.459881%8.5%1,649438.194726%8.194726%8.2%2,222447.692053%7.692053%7.7%2,326457.505079%7.505079%7.5%3,842467.162908%7.162908%7.2%2,22047
Count number of people in category
# rank of metro area out of 47 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Metro Area#35

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Ohio, selected metro areas in Ohio, and entities that contain Ohio
0%10%20%30%Count#Columbus Metro AreaColumbus AreaCincinnati Metro AreaCincinnatiUnited States of AmericaUnited StatesAkron Metro AreaAkron AreaCleveland and Elyria Metro AreaClevelandAthens Metro AreaAthens AreaMidwestEast North CentralDayton Metro AreaDayton AreaOhioFindlay Metro AreaFindlay AreaToledo Metro AreaToledo AreaMount Vernon Metro AreaMount VernonCanton and Massillon Metro AreaCanton AreaSandusky Metro AreaSandusky AreaWooster Metro AreaWooster AreaPort Clinton Metro AreaPort ClintonYoungstown, Warren, and Boardman Metro AreaYoungstownWheeling Metro AreaWheeling AreaAshland Metro AreaAshland AreaHuntington and Ashland Metro AreaHuntingtonMarietta Metro AreaMarietta AreaSpringfield Metro AreaSpringfieldWapakoneta Metro AreaWapakonetaLima Metro AreaLima AreaVan Wert Metro AreaVan Wert AreaSidney Metro AreaSidney AreaWeirton and Steubenville Metro AreaWeirton AreaJackson Metro AreaJackson AreaCelina Metro AreaCelina AreaUrbana Metro AreaUrbana AreaWilmington Metro AreaWilmingtonMansfield Metro AreaMansfieldDefiance Metro AreaDefiance AreaBellefontaine Metro AreaBellefontaineChillicothe Metro AreaChillicotheZanesville Metro AreaZanesvillePortsmouth Metro AreaPortsmouthNew Philadelphia and Dover Metro AreaNew PhiladelphiaFremont Metro AreaFremont AreaTiffin Metro AreaTiffin AreaWashington Court House Metro AreaWashington Court …Salem Metro AreaSalem AreaCambridge Metro AreaCambridgeNorwalk Metro AreaNorwalk AreaPoint Pleasant Metro AreaPoint PleasantAshtabula Metro AreaAshtabulaGreenville Metro AreaGreenvilleBucyrus Metro AreaBucyrus AreaMarion Metro AreaMarion AreaCoshocton Metro AreaCoshocton34.785494%34.785494%34.8%460,194460k131.723093%31.723093%31.7%452,292452k230.315023%30.315023%30.3%64,767,78764.8M29.971272%29.971272%30.0%143,450143k329.705211%29.705211%29.7%424,131424k429.126214%29.126214%29.1%10,38010.4k528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.783136%27.783136%27.8%150,938151k626.667466%26.667466%26.7%2,092,8752.09M25.838022%25.838022%25.8%13,22713.2k725.829974%25.829974%25.8%102,903103k821.891919%21.891919%21.9%8,653921.826960%21.826960%21.8%60,85460.9k1021.593088%21.593088%21.6%11,59711.6k1121.467650%21.467650%21.5%16,24516.2k1221.300308%21.300308%21.3%6,4411320.741132%20.741132%20.7%80,86280.9k1420.327188%20.327188%20.3%21,23521.2k1519.637840%19.637840%19.6%6,9191619.440139%19.440139%19.4%48,91848.9k1718.409212%18.409212%18.4%7,9781817.966799%17.966799%18.0%16,68916.7k1917.771755%17.771755%17.8%5,5082017.386787%17.386787%17.4%12,04812.0k2117.160887%17.160887%17.2%3,3452217.089254%17.089254%17.1%5,5202316.982198%16.982198%17.0%14,72914.7k2416.880313%16.880313%16.9%3,7532516.832012%16.832012%16.8%4,5642616.504416%16.504416%16.5%4,3912716.491911%16.491911%16.5%4,5772816.395430%16.395430%16.4%13,93313.9k2915.752869%15.752869%15.8%4,0773015.555985%15.555985%15.6%4,8253115.303921%15.303921%15.3%8,3013215.066182%15.066182%15.1%8,7533314.993788%14.993788%15.0%7,9653414.979782%14.979782%15.0%9,5953514.815534%14.815534%14.8%6,1003614.711520%14.711520%14.7%5,4493714.508351%14.508351%14.5%2,8583813.935855%13.935855%13.9%10,47610.5k3913.649689%13.649689%13.6%3,7254013.479480%13.479480%13.5%5,2884113.465282%13.465282%13.5%5,3954213.119186%13.119186%13.1%9,0264313.093695%13.093695%13.1%4,6484412.671602%12.671602%12.7%3,7664512.295828%12.295828%12.3%5,6764612.055414%12.055414%12.1%3,03747
Count number of people in category
# rank of metro area out of 47 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Metro Area#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 Ohio, selected metro areas in Ohio, and entities that contain Ohio
0%1%2%3%4%5%Count#Athens Metro AreaAthens AreaColumbus Metro AreaColumbus AreaCleveland and Elyria Metro AreaClevelandUnited States of AmericaUnited StatesCincinnati Metro AreaCincinnatiAkron Metro AreaAkron AreaToledo Metro AreaToledo AreaMidwestEast North CentralOhioDayton Metro AreaDayton AreaMount Vernon Metro AreaMount VernonSandusky Metro AreaSandusky AreaHuntington and Ashland Metro AreaHuntingtonWooster Metro AreaWooster AreaLima Metro AreaLima AreaPort Clinton Metro AreaPort ClintonCanton and Massillon Metro AreaCanton AreaFindlay Metro AreaFindlay AreaAshland Metro AreaAshland AreaYoungstown, Warren, and Boardman Metro AreaYoungstownWheeling Metro AreaWheeling AreaMarietta Metro AreaMarietta AreaSpringfield Metro AreaSpringfieldWeirton and Steubenville Metro AreaWeirton AreaChillicothe Metro AreaChillicothePortsmouth Metro AreaPortsmouthWilmington Metro AreaWilmingtonMansfield Metro AreaMansfieldWapakoneta Metro AreaWapakonetaSidney Metro AreaSidney AreaVan Wert Metro AreaVan Wert AreaBellefontaine Metro AreaBellefontaineCambridge Metro AreaCambridgeDefiance Metro AreaDefiance AreaZanesville Metro AreaZanesvilleAshtabula Metro AreaAshtabulaSalem Metro AreaSalem AreaFremont Metro AreaFremont AreaTiffin Metro AreaTiffin AreaMarion Metro AreaMarion AreaNorwalk Metro AreaNorwalk AreaBucyrus Metro AreaBucyrus AreaPoint Pleasant Metro AreaPoint PleasantNew Philadelphia and Dover Metro AreaNew PhiladelphiaWashington Court House Metro AreaWashington Court …Urbana Metro AreaUrbana AreaCoshocton Metro AreaCoshoctonGreenville Metro AreaGreenvilleCelina Metro AreaCelina AreaJackson Metro AreaJackson Area5.390314%5.390314%5.4%1,92113.620928%3.620928%3.6%47,90347.9k23.424359%3.424359%3.4%48,89348.9k33.336158%3.336158%3.3%7,127,6737.13M3.129371%3.129371%3.1%44,61744.6k43.009036%3.009036%3.0%14,40214.4k52.958688%2.958688%3.0%11,78711.8k62.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.681530%2.681530%2.7%14,56814.6k72.474321%2.474321%2.5%97882.256689%2.256689%2.3%1,21292.228634%2.228634%2.2%5,608102.226715%2.226715%2.2%1,685112.046353%2.046353%2.0%1,418121.974272%1.974272%2.0%597131.919283%1.919283%1.9%5,351141.906548%1.906548%1.9%976151.867567%1.867567%1.9%658161.851676%1.851676%1.9%7,219171.605307%1.605307%1.6%1,677181.589865%1.589865%1.6%689191.506115%1.506115%1.5%1,399201.460822%1.460822%1.5%1,267211.281319%1.281319%1.3%695221.278190%1.278190%1.3%679231.257522%1.257522%1.3%349241.166143%1.166143%1.2%991251.129287%1.129287%1.1%350261.111421%1.111421%1.1%359271.108147%1.108147%1.1%216281.105845%1.105845%1.1%343291.091975%1.091975%1.1%298300.989143%0.989143%1.0%256310.984560%0.984560%1.0%572320.899709%0.899709%0.9%619330.895268%0.895268%0.9%673340.871931%0.871931%0.9%359350.861254%0.861254%0.9%319360.847017%0.847017%0.8%391370.830997%0.830997%0.8%326380.783984%0.783984%0.8%233390.773723%0.773723%0.8%310400.771236%0.771236%0.8%494410.685314%0.685314%0.7%135420.665288%0.665288%0.7%177430.559701%0.559701%0.6%141440.546510%0.546510%0.5%194450.479439%0.479439%0.5%130460.418297%0.418297%0.4%9347
Count number of people in category
# rank of metro area out of 47 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 Metro Area#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 Ohio, selected metro areas in Ohio, and entities that contain Ohio
Female
Male
1x0x1xFM#MansfieldWilmingtonCambridgeSidney AreaVan Wert AreaJackson AreaBellefontaineAthens AreaFindlay AreaMarion AreaWapakonetaNew PhiladelphiaNorwalk AreaMount VernonAshland AreaZanesvilleBucyrus AreaYoungstownWooster AreaSpringfieldGreenvilleUrbana AreaMidwestCoshoctonToledo AreaEast North CentralAshtabulaCincinnatiMarietta AreaUnited StatesOhioColumbus AreaWheeling AreaClevelandChillicotheFremont AreaSandusky AreaLima AreaWashington Court HouseWashington Court …Canton AreaPortsmouthHuntingtonTiffin AreaDefiance AreaCelina AreaDayton AreaPort ClintonWeirton AreaSalem AreaPoint PleasantAkron Area-1.000000x-1.000000x1.428027x1.428027x1.43x10.554%10.6%15.071%15.1%1-1.000000x-1.000000x1.400601x1.400601x1.40x9.649%9.65%13.514%13.5%2-1.000000x-1.000000x1.396081x1.396081x1.40x13.035%13.0%18.198%18.2%3-1.000000x-1.000000x1.355020x1.355020x1.36x7.910%7.91%10.718%10.7%4-1.000000x-1.000000x1.336977x1.336977x1.34x7.275%7.28%9.727%9.73%5-1.000000x-1.000000x1.305954x1.305954x1.31x13.745%13.7%17.950%18.0%6-1.000000x-1.000000x1.273726x1.273726x1.27x9.203%9.20%11.723%11.7%7-1.000000x-1.000000x1.239662x1.239662x1.24x9.239%9.24%11.453%11.5%8-1.000000x-1.000000x1.228711x1.228711x1.23x6.756%6.76%8.301%8.30%9-1.000000x-1.000000x1.222802x1.222802x1.22x11.988%12.0%14.658%14.7%10-1.000000x-1.000000x1.214482x1.214482x1.21x6.481%6.48%7.871%7.87%11-1.000000x-1.000000x1.212065x1.212065x1.21x12.766%12.8%15.474%15.5%12-1.000000x-1.000000x1.201209x1.201209x1.20x11.198%11.2%13.451%13.5%13-1.000000x-1.000000x1.196265x1.196265x1.20x9.533%9.53%11.404%11.4%14-1.000000x-1.000000x1.194357x1.194357x1.19x11.488%11.5%13.721%13.7%15-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%16-1.000000x-1.000000x1.171173x1.171173x1.17x10.661%10.7%12.486%12.5%17-1.000000x-1.000000x1.151998x1.151998x1.15x9.771%9.77%11.257%11.3%18-1.000000x-1.000000x1.151379x1.151379x1.15x13.576%13.6%15.631%15.6%19-1.000000x-1.000000x1.150715x1.150715x1.15x11.939%11.9%13.739%13.7%20-1.000000x-1.000000x1.139879x1.139879x1.14x10.372%10.4%11.823%11.8%21-1.000000x-1.000000x1.129930x1.129930x1.13x10.207%10.2%11.533%11.5%22-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126675x1.126675x1.13x13.442%13.4%15.145%15.1%23-1.000000x-1.000000x1.126592x1.126592x1.13x9.459%9.46%10.657%10.7%24-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.121822x1.121822x1.12x13.739%13.7%15.412%15.4%25-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%26-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%27-1.000000x-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-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%28-1.000000x-1.000000x1.098382x1.098382x1.10x9.259%9.26%10.170%10.2%29-1.000000x-1.000000x1.095211x1.095211x1.10x9.995%10.00%10.947%10.9%30-1.000000x-1.000000x1.090568x1.090568x1.09x13.607%13.6%14.839%14.8%31-1.000000x-1.000000x1.079648x1.079648x1.08x10.276%10.3%11.095%11.1%32-1.000000x-1.000000x1.070676x1.070676x1.07x9.106%9.11%9.749%9.75%33-1.000000x-1.000000x1.067772x1.067772x1.07x10.371%10.4%11.074%11.1%34-1.000000x-1.000000x1.066211x1.066211x1.07x12.218%12.2%13.027%13.0%35-1.000000x-1.000000x1.051981x1.051981x1.05x9.572%9.57%10.070%10.1%36-1.000000x-1.000000x1.033630x1.033630x1.03x15.627%15.6%16.153%16.2%37-1.000000x-1.000000x1.020826x1.020826x1.02x13.369%13.4%13.647%13.6%38-1.000000x-1.000000x1.020140x1.020140x1.02x9.155%9.15%9.339%9.34%39-1.000000x-1.000000x1.016198x1.016198x1.02x10.079%10.1%10.242%10.2%40-1.000000x-1.000000x1.011348x1.011348x1.01x8.149%8.15%8.241%8.24%41-1.000000x-1.000000x1.000795x1.000795x1.00x9.840%9.84%9.848%9.85%42-1.007508x-1.007508x1.01x1.000000x1.000000x7.720%7.72%7.663%7.66%43-1.013405x-1.013405x1.01x1.000000x1.000000x10.831%10.8%10.688%10.7%44-1.022047x-1.022047x1.02x1.000000x1.000000x12.509%12.5%12.239%12.2%45-1.031046x-1.031046x1.03x1.000000x1.000000x17.694%17.7%17.161%17.2%46-1.039520x-1.039520x1.04x1.000000x1.000000x8.977%8.98%8.636%8.64%47
F percentage of females in category
M percentage of males in category
# rank of metro area out of 47 by male-to-female sex ratio

Over-Education Sex Ratio by Metro Area#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 Ohio, selected metro areas in Ohio, and entities that contain Ohio
Female
Male
1x0x1x2x3xFM#WapakonetaSalem AreaPort ClintonSpringfieldCoshoctonUrbana AreaAshtabulaCelina AreaWilmingtonBellefontaineMarietta AreaDayton AreaSandusky AreaYoungstownWheeling AreaAthens AreaFindlay AreaHuntingtonPortsmouthWashington Court HouseWashington Court …CambridgeWeirton AreaMansfieldVan Wert AreaGreenvilleLima AreaDefiance AreaClevelandOhioJackson AreaWooster AreaAkron AreaAshland AreaTiffin AreaNew PhiladelphiaCanton AreaEast North CentralZanesvilleMidwestCincinnatiColumbus AreaNorwalk AreaUnited StatesSidney AreaChillicotheMount VernonToledo AreaBucyrus AreaFremont AreaPoint PleasantMarion Area-1.000000x-1.000000x3.805782x3.805782x3.81x0.475%0.48%1.808%1.81%1-1.000000x-1.000000x3.345227x3.345227x3.35x0.412%0.41%1.379%1.38%2-1.000000x-1.000000x2.985382x2.985382x2.99x1.002%1.00%2.992%2.99%3-1.000000x-1.000000x2.838033x2.838033x2.84x0.805%0.80%2.284%2.28%4-1.000000x-1.000000x2.665518x2.665518x2.67x0.309%0.31%0.824%0.82%5-1.000000x-1.000000x2.346695x2.346695x2.35x0.402%0.40%0.944%0.94%6-1.000000x-1.000000x2.235629x2.235629x2.24x0.558%0.56%1.248%1.25%7-1.000000x-1.000000x2.215214x2.215214x2.22x0.299%0.30%0.663%0.66%8-1.000000x-1.000000x2.210720x2.210720x2.21x0.792%0.79%1.750%1.75%9-1.000000x-1.000000x2.203461x2.203461x2.20x0.697%0.70%1.537%1.54%10-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%11-1.000000x-1.000000x2.159743x2.159743x2.16x1.731%1.73%3.739%3.74%12-1.000000x-1.000000x2.105141x2.105141x2.11x1.473%1.47%3.100%3.10%13-1.000000x-1.000000x2.070307x2.070307x2.07x1.226%1.23%2.537%2.54%14-1.000000x-1.000000x2.059967x2.059967x2.06x1.057%1.06%2.178%2.18%15-1.000000x-1.000000x2.046436x2.046436x2.05x3.542%3.54%7.249%7.25%16-1.000000x-1.000000x1.977220x1.977220x1.98x1.293%1.29%2.557%2.56%17-1.000000x-1.000000x1.966531x1.966531x1.97x1.521%1.52%2.991%2.99%18-1.000000x-1.000000x1.939604x1.939604x1.94x0.880%0.88%1.706%1.71%19-1.000000x-1.000000x1.915538x1.915538x1.92x0.477%0.48%0.913%0.91%20-1.000000x-1.000000x1.897824x1.897824x1.90x0.763%0.76%1.447%1.45%21-1.000000x-1.000000x1.871032x1.871032x1.87x1.032%1.03%1.932%1.93%22-1.000000x-1.000000x1.868071x1.868071x1.87x0.813%0.81%1.520%1.52%23-1.000000x-1.000000x1.855350x1.855350x1.86x0.784%0.78%1.455%1.45%24-1.000000x-1.000000x1.849233x1.849233x1.85x0.387%0.39%0.716%0.72%25-1.000000x-1.000000x1.732122x1.732122x1.73x1.505%1.50%2.606%2.61%26-1.000000x-1.000000x1.726677x1.726677x1.73x0.732%0.73%1.264%1.26%27-1.000000x-1.000000x1.673200x1.673200x1.67x2.601%2.60%4.352%4.35%28-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.658915x1.658915x1.66x0.318%0.32%0.528%0.53%29-1.000000x-1.000000x1.658480x1.658480x1.66x1.687%1.69%2.798%2.80%30-1.000000x-1.000000x1.647907x1.647907x1.65x2.299%2.30%3.788%3.79%31-1.000000x-1.000000x1.646276x1.646276x1.65x1.423%1.42%2.343%2.34%32-1.000000x-1.000000x1.645493x1.645493x1.65x0.656%0.66%1.079%1.08%33-1.000000x-1.000000x1.642114x1.642114x1.64x0.589%0.59%0.968%0.97%34-1.000000x-1.000000x1.636723x1.636723x1.64x1.473%1.47%2.411%2.41%35-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%36-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%37-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%38-1.000000x-1.000000x1.532147x1.532147x1.53x0.661%0.66%1.013%1.01%39-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522652x1.522652x1.52x0.883%0.88%1.344%1.34%40-1.000000x-1.000000x1.490387x1.490387x1.49x1.019%1.02%1.519%1.52%41-1.000000x-1.000000x1.481268x1.481268x1.48x2.009%2.01%2.976%2.98%42-1.000000x-1.000000x1.477674x1.477674x1.48x2.410%2.41%3.561%3.56%43-1.000000x-1.000000x1.459921x1.459921x1.46x0.643%0.64%0.939%0.94%44-1.000000x-1.000000x1.242747x1.242747x1.24x0.780%0.78%0.970%0.97%45-1.000000x-1.000000x1.228432x1.228432x1.23x0.698%0.70%0.858%0.86%46-1.000000x-1.000000x1.220919x1.220919x1.22x0.758%0.76%0.925%0.93%47
F percentage of females in category
M percentage of males in category
# rank of metro area out of 47 by male-to-female sex ratio

Educational Attainment by County in Ohio

There are 88 counties in Ohio. This section compares the 50 most populous of those to each other, Ohio, and other entities that contain or substantially overlap with Ohio. The least populous of the compared counties has a population of 48,949.

No H.S. Diploma by County#39

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Ohio, selected counties in Ohio, and entities that contain Ohio
0%5%10%15%Count#Scioto CountySciotoWayne CountyWayneAshtabula CountyAshtabulaLawrence CountyLawrenceRoss CountyRossTuscarawas CountyTuscarawasMuskingum CountyMuskingumMarion CountyMarionUnited States of AmericaUnited StatesPickaway CountyPickawayRichland CountyRichlandClark CountyClarkAshland CountyAshlandColumbiana CountyColumbianaHuron CountyHuronCuyahoga CountyCuyahogaLucas CountyLucasTrumbull CountyTrumbullDarke CountyDarkeMiami CountyMiamiLorain CountyLorainEast North CentralAllen CountyAllenSandusky CountySanduskyOhioKnox CountyKnoxClermont CountyClermontMontgomery CountyMontgomeryAthens CountyAthensButler CountyButlerMidwestBelmont CountyBelmontJefferson CountyJeffersonMahoning CountyMahoningHamilton CountyHamiltonWashington CountyWashingtonFranklin CountyFranklinLicking CountyLickingStark CountyStarkErie CountyErieShelby CountyShelbySeneca CountySenecaSummit CountySummitGeauga CountyGeaugaFairfield CountyFairfieldPortage CountyPortageUnion CountyUnionLake CountyLakeHancock CountyHancockGreene CountyGreeneWarren CountyWarrenMedina CountyMedinaWood CountyWoodDelaware CountyDelaware15.880426%15.880426%15.9%8,436114.573422%14.573422%14.6%11,02811.0k214.566860%14.566860%14.6%10,02210.0k314.348435%14.348435%14.3%6,144414.253056%14.253056%14.3%7,731514.068037%14.068037%14.1%9,011613.498115%13.498115%13.5%7,842713.413630%13.413630%13.4%6,192813.020590%13.020590%13.0%27,818,38027.8M12.917789%12.917789%12.9%5,036912.809922%12.809922%12.8%10,88610.9k1012.792826%12.792826%12.8%11,88311.9k1112.567763%12.567763%12.6%4,4281212.374124%12.374124%12.4%9,3021312.286515%12.286515%12.3%4,8201411.473065%11.473065%11.5%100,034100k1511.204220%11.204220%11.2%32,51732.5k1611.138115%11.138115%11.1%16,17816.2k1711.073863%11.073863%11.1%3,9311810.912923%10.912923%10.9%7,8191910.838036%10.838036%10.8%22,53022.5k2010.719464%10.719464%10.7%3,363,7843.36M10.716657%10.716657%10.7%7,4262110.672042%10.672042%10.7%4,3942210.514146%10.514146%10.5%825,155825k10.433639%10.433639%10.4%4,1242310.407526%10.407526%10.4%14,16114.2k2410.369633%10.369633%10.4%37,59537.6k2510.342892%10.342892%10.3%3,6862610.314030%10.314030%10.3%24,52824.5k2710.244520%10.244520%10.2%4,641,8354.64M10.147068%10.147068%10.1%5,1542810.108764%10.108764%10.1%4,833299.896656%9.896656%9.9%16,29916.3k309.873275%9.873275%9.9%53,29153.3k319.795325%9.795325%9.8%4,245329.640656%9.640656%9.6%78,29978.3k339.609394%9.609394%9.6%10,95011.0k349.565083%9.565083%9.6%24,75324.8k359.415905%9.415905%9.4%5,057369.300022%9.300022%9.3%3,004379.244310%9.244310%9.2%3,424389.016560%9.016560%9.0%33,82433.8k398.928599%8.928599%8.9%5,691408.257364%8.257364%8.3%8,306418.081706%8.081706%8.1%8,364428.064021%8.064021%8.1%2,892438.051408%8.051408%8.1%13,15613.2k447.505079%7.505079%7.5%3,842457.394980%7.394980%7.4%8,066467.119778%7.119778%7.1%10,53310.5k476.360906%6.360906%6.4%7,689485.919879%5.919879%5.9%4,714493.378461%3.378461%3.4%4,15050
Count number of people in category
# rank of county 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#40

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Ohio, selected counties in Ohio, and entities that contain Ohio
0%10%20%30%40%50%Count#Delaware CountyDelawareWarren CountyWarrenFranklin CountyFranklinGreene CountyGreeneGeauga CountyGeaugaHamilton CountyHamiltonWood CountyWoodMedina CountyMedinaCuyahoga CountyCuyahogaSummit CountySummitUnited States of AmericaUnited StatesButler CountyButlerAthens CountyAthensUnion CountyUnionMidwestEast North CentralClermont CountyClermontPortage CountyPortageLake CountyLakeOhioFairfield CountyFairfieldMontgomery CountyMontgomeryHancock CountyHancockLucas CountyLucasLorain CountyLorainLicking CountyLickingMahoning CountyMahoningStark CountyStarkKnox CountyKnoxErie CountyErieWayne CountyWayneMiami CountyMiamiAshland CountyAshlandWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullAllen CountyAllenPickaway CountyPickawayShelby CountyShelbyBelmont CountyBelmontRichland CountyRichlandJefferson CountyJeffersonRoss CountyRossMuskingum CountyMuskingumScioto CountySciotoTuscarawas CountyTuscarawasSandusky CountySanduskySeneca CountySenecaLawrence CountyLawrenceColumbiana CountyColumbianaHuron CountyHuronAshtabula CountyAshtabulaDarke CountyDarkeMarion CountyMarion52.455693%52.455693%52.5%64,43564.4k140.956469%40.956469%41.0%60,59160.6k238.352941%38.352941%38.4%311,493311k337.647835%37.647835%37.6%41,06441.1k437.269176%37.269176%37.3%23,75523.8k535.595553%35.595553%35.6%192,127192k631.682783%31.682783%31.7%25,22925.2k731.455422%31.455422%31.5%38,02338.0k830.891280%30.891280%30.9%269,342269k930.713722%30.713722%30.7%115,217115k1030.315023%30.315023%30.3%64,767,78764.8M29.134358%29.134358%29.1%69,28569.3k1129.126214%29.126214%29.1%10,38010.4k1229.091264%29.091264%29.1%10,43310.4k1328.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.618418%27.618418%27.6%37,57937.6k1427.280106%27.280106%27.3%28,23328.2k1527.039780%27.039780%27.0%44,18344.2k1626.667466%26.667466%26.7%2,092,8752.09M26.410442%26.410442%26.4%26,56626.6k1726.143225%26.143225%26.1%94,78294.8k1825.838022%25.838022%25.8%13,22713.2k1925.090190%25.090190%25.1%72,81772.8k2023.488664%23.488664%23.5%48,82848.8k2123.329326%23.329326%23.3%26,58426.6k2222.789814%22.789814%22.8%37,53337.5k2322.631528%22.631528%22.6%58,56758.6k2421.891919%21.891919%21.9%8,6532521.593088%21.593088%21.6%11,59711.6k2621.467650%21.467650%21.5%16,24516.2k2721.063797%21.063797%21.1%15,09215.1k2819.637840%19.637840%19.6%6,9192918.409212%18.409212%18.4%7,9783017.966799%17.966799%18.0%16,68916.7k3117.959504%17.959504%18.0%26,08626.1k3217.386787%17.386787%17.4%12,04812.0k3317.306656%17.306656%17.3%6,7473417.089254%17.089254%17.1%5,5203516.407773%16.407773%16.4%8,3343616.395430%16.395430%16.4%13,93313.9k3715.429826%15.429826%15.4%7,3773815.303921%15.303921%15.3%8,3013915.066182%15.066182%15.1%8,7534014.993788%14.993788%15.0%7,9654114.979782%14.979782%15.0%9,5954214.815534%14.815534%14.8%6,1004314.711520%14.711520%14.7%5,4494414.142924%14.142924%14.1%6,0564513.935855%13.935855%13.9%10,47610.5k4613.479480%13.479480%13.5%5,2884713.119186%13.119186%13.1%9,0264813.093695%13.093695%13.1%4,6484912.295828%12.295828%12.3%5,67650
Count number of people in category
# rank of county 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#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 Ohio, selected counties in Ohio, and entities that contain Ohio
0%1%2%3%4%5%Count#Athens CountyAthensDelaware CountyDelawareGreene CountyGreeneFranklin CountyFranklinHamilton CountyHamiltonCuyahoga CountyCuyahogaWarren CountyWarrenWood CountyWoodUnited States of AmericaUnited StatesGeauga CountyGeaugaSummit CountySummitLucas CountyLucasMidwestEast North CentralOhioUnion CountyUnionPortage CountyPortageKnox CountyKnoxButler CountyButlerMontgomery CountyMontgomeryLicking CountyLickingErie CountyErieMedina CountyMedinaWayne CountyWayneMahoning CountyMahoningLake CountyLakeAllen CountyAllenLorain CountyLorainStark CountyStarkHancock CountyHancockAshland CountyAshlandClermont CountyClermontFairfield CountyFairfieldJefferson CountyJeffersonWashington CountyWashingtonClark CountyClarkTrumbull CountyTrumbullRoss CountyRossScioto CountySciotoLawrence CountyLawrenceMiami CountyMiamiRichland CountyRichlandShelby CountyShelbyPickaway CountyPickawayBelmont CountyBelmontMuskingum CountyMuskingumAshtabula CountyAshtabulaColumbiana CountyColumbianaSandusky CountySanduskySeneca CountySenecaMarion CountyMarionHuron CountyHuronTuscarawas CountyTuscarawasDarke CountyDarke5.390314%5.390314%5.4%1,92115.031057%5.031057%5.0%6,18024.454774%4.454774%4.5%4,85934.335519%4.335519%4.3%35,21235.2k44.198425%4.198425%4.2%22,66122.7k54.184410%4.184410%4.2%36,48436.5k63.623766%3.623766%3.6%5,36173.600402%3.600402%3.6%2,86783.336158%3.336158%3.3%7,127,6737.13M3.260170%3.260170%3.3%2,07893.147959%3.147959%3.1%11,80911.8k102.925012%2.925012%2.9%8,489112.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.506762%2.506762%2.5%899122.505483%2.505483%2.5%2,593132.474321%2.474321%2.5%978142.445209%2.445209%2.4%5,815152.444911%2.444911%2.4%8,864162.283438%2.283438%2.3%2,602172.256689%2.256689%2.3%1,212182.239430%2.239430%2.2%2,707192.226715%2.226715%2.2%1,685202.131251%2.131251%2.1%3,510212.086903%2.086903%2.1%3,410222.046353%2.046353%2.0%1,418232.027141%2.027141%2.0%4,214241.963406%1.963406%2.0%5,081251.906548%1.906548%1.9%976261.867567%1.867567%1.9%658271.832213%1.832213%1.8%2,493281.755659%1.755659%1.8%1,766291.604267%1.604267%1.6%767301.589865%1.589865%1.6%689311.506115%1.506115%1.5%1,399321.396223%1.396223%1.4%2,028331.281319%1.281319%1.3%695341.278190%1.278190%1.3%679351.268099%1.268099%1.3%543361.179360%1.179360%1.2%845371.166143%1.166143%1.2%991381.111421%1.111421%1.1%359391.095293%1.095293%1.1%427401.025732%1.025732%1.0%521410.984560%0.984560%1.0%572420.899709%0.899709%0.9%619430.895268%0.895268%0.9%673440.871931%0.871931%0.9%359450.861254%0.861254%0.9%319460.847017%0.847017%0.8%391470.830997%0.830997%0.8%326480.771236%0.771236%0.8%494490.546510%0.546510%0.5%19450
Count number of people in category
# rank of county 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#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 Ohio, selected counties in Ohio, and entities that contain Ohio
Female
Male
1x0x1xFM#PickawayWarrenRichlandShelbyAthensHancockMarionClermontLorainTuscarawasDelawareHuronKnoxAshlandMuskingumLucasMahoningTrumbullWayneGeaugaClarkLawrenceDarkeLakeMidwestEast North CentralBelmontAshtabulaWashingtonUnited StatesOhioMedinaRossSanduskyErieCuyahogaAllenFranklinFairfieldButlerLickingMontgomeryPortageSciotoStarkSenecaHamiltonJeffersonColumbianaGreeneSummitWoodMiamiUnion-1.000000x-1.000000x1.597241x1.597241x1.60x9.831%9.83%15.703%15.7%1-1.000000x-1.000000x1.457031x1.457031x1.46x5.811%5.81%8.466%8.47%2-1.000000x-1.000000x1.428027x1.428027x1.43x10.554%10.6%15.071%15.1%3-1.000000x-1.000000x1.355020x1.355020x1.36x7.910%7.91%10.718%10.7%4-1.000000x-1.000000x1.239662x1.239662x1.24x9.239%9.24%11.453%11.5%5-1.000000x-1.000000x1.228711x1.228711x1.23x6.756%6.76%8.301%8.30%6-1.000000x-1.000000x1.222802x1.222802x1.22x11.988%12.0%14.658%14.7%7-1.000000x-1.000000x1.219059x1.219059x1.22x9.410%9.41%11.471%11.5%8-1.000000x-1.000000x1.216863x1.216863x1.22x9.813%9.81%11.941%11.9%9-1.000000x-1.000000x1.212065x1.212065x1.21x12.766%12.8%15.474%15.5%10-1.000000x-1.000000x1.204437x1.204437x1.20x3.074%3.07%3.703%3.70%11-1.000000x-1.000000x1.201209x1.201209x1.20x11.198%11.2%13.451%13.5%12-1.000000x-1.000000x1.196265x1.196265x1.20x9.533%9.53%11.404%11.4%13-1.000000x-1.000000x1.194357x1.194357x1.19x11.488%11.5%13.721%13.7%14-1.000000x-1.000000x1.190045x1.190045x1.19x12.386%12.4%14.740%14.7%15-1.000000x-1.000000x1.169306x1.169306x1.17x10.373%10.4%12.129%12.1%16-1.000000x-1.000000x1.158437x1.158437x1.16x9.203%9.20%10.662%10.7%17-1.000000x-1.000000x1.157733x1.157733x1.16x10.358%10.4%11.992%12.0%18-1.000000x-1.000000x1.151379x1.151379x1.15x13.576%13.6%15.631%15.6%19-1.000000x-1.000000x1.151241x1.151241x1.15x8.319%8.32%9.577%9.58%20-1.000000x-1.000000x1.150715x1.150715x1.15x11.939%11.9%13.739%13.7%21-1.000000x-1.000000x1.140157x1.140157x1.14x13.451%13.5%15.336%15.3%22-1.000000x-1.000000x1.139879x1.139879x1.14x10.372%10.4%11.823%11.8%23-1.000000x-1.000000x1.134887x1.134887x1.13x7.564%7.56%8.584%8.58%24-1.000000x-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-1.000000x1.122752x1.122752x1.12x9.558%9.56%10.731%10.7%25-1.000000x-1.000000x1.121822x1.121822x1.12x13.739%13.7%15.412%15.4%26-1.000000x-1.000000x1.116980x1.116980x1.12x9.270%9.27%10.354%10.4%27-1.000000x-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-1.000000x1.104033x1.104033x1.10x6.055%6.06%6.685%6.69%28-1.000000x-1.000000x1.090568x1.090568x1.09x13.607%13.6%14.839%14.8%29-1.000000x-1.000000x1.079648x1.079648x1.08x10.276%10.3%11.095%11.1%30-1.000000x-1.000000x1.070676x1.070676x1.07x9.106%9.11%9.749%9.75%31-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%32-1.000000x-1.000000x1.067772x1.067772x1.07x10.371%10.4%11.074%11.1%33-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%34-1.000000x-1.000000x1.047665x1.047665x1.05x8.071%8.07%8.455%8.46%35-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%36-1.000000x-1.000000x1.041562x1.041562x1.04x9.421%9.42%9.813%9.81%37-1.000000x-1.000000x1.037009x1.037009x1.04x10.193%10.2%10.570%10.6%38-1.000000x-1.000000x1.036905x1.036905x1.04x7.939%7.94%8.232%8.23%39-1.000000x-1.000000x1.033630x1.033630x1.03x15.627%15.6%16.153%16.2%40-1.000000x-1.000000x1.031161x1.031161x1.03x9.426%9.43%9.720%9.72%41-1.000000x-1.000000x1.020140x1.020140x1.02x9.155%9.15%9.339%9.34%42-1.000000x-1.000000x1.012905x1.012905x1.01x9.814%9.81%9.941%9.94%43-1.000000x-1.000000x1.004137x1.004137x1.00x10.089%10.1%10.131%10.1%44-1.022047x-1.022047x1.02x1.000000x1.000000x12.509%12.5%12.239%12.2%45-1.030592x-1.030592x1.03x1.000000x1.000000x7.503%7.50%7.280%7.28%46-1.057764x-1.057764x1.06x1.000000x1.000000x9.256%9.26%8.751%8.75%47-1.088790x-1.088790x1.09x1.000000x1.000000x6.164%6.16%5.661%5.66%48-1.131015x-1.131015x1.13x1.000000x1.000000x11.559%11.6%10.220%10.2%49-1.420116x-1.420116x1.42x1.000000x1.000000x9.358%9.36%6.590%6.59%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#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 Ohio, selected counties in Ohio, and entities that contain Ohio
Female
Male
1x0x1x2x3xFM#MiamiColumbianaClarkJeffersonLawrenceAshtabulaMahoningWashingtonMontgomeryErieLorainBelmontAthensGreeneHancockGeaugaSciotoRichlandPortageDarkeButlerClermontTrumbullAllenCuyahogaOhioStarkWayneWoodAshlandSenecaTuscarawasDelawareFairfieldSummitHamiltonEast North CentralMuskingumMidwestFranklinHuronUnited StatesShelbyUnionRossKnoxWarrenLickingLakeLucasMedinaPickawaySanduskyMarion-1.000000x-1.000000x3.501312x3.501312x3.50x0.534%0.53%1.871%1.87%1-1.000000x-1.000000x3.345227x3.345227x3.35x0.412%0.41%1.379%1.38%2-1.000000x-1.000000x2.838033x2.838033x2.84x0.805%0.80%2.284%2.28%3-1.000000x-1.000000x2.291361x2.291361x2.29x0.992%0.99%2.274%2.27%4-1.000000x-1.000000x2.274678x2.274678x2.27x0.789%0.79%1.795%1.79%5-1.000000x-1.000000x2.235629x2.235629x2.24x0.558%0.56%1.248%1.25%6-1.000000x-1.000000x2.218047x2.218047x2.22x1.350%1.35%2.994%2.99%7-1.000000x-1.000000x2.165620x2.165620x2.17x1.016%1.02%2.200%2.20%8-1.000000x-1.000000x2.146385x2.146385x2.15x1.591%1.59%3.414%3.41%9-1.000000x-1.000000x2.105141x2.105141x2.11x1.473%1.47%3.100%3.10%10-1.000000x-1.000000x2.086342x2.086342x2.09x1.331%1.33%2.776%2.78%11-1.000000x-1.000000x2.063493x2.063493x2.06x0.669%0.67%1.380%1.38%12-1.000000x-1.000000x2.046436x2.046436x2.05x3.542%3.54%7.249%7.25%13-1.000000x-1.000000x2.003204x2.003204x2.00x2.999%3.00%6.008%6.01%14-1.000000x-1.000000x1.977220x1.977220x1.98x1.293%1.29%2.557%2.56%15-1.000000x-1.000000x1.957255x1.957255x1.96x2.227%2.23%4.360%4.36%16-1.000000x-1.000000x1.939604x1.939604x1.94x0.880%0.88%1.706%1.71%17-1.000000x-1.000000x1.868071x1.868071x1.87x0.813%0.81%1.520%1.52%18-1.000000x-1.000000x1.859489x1.859489x1.86x1.765%1.77%3.283%3.28%19-1.000000x-1.000000x1.849233x1.849233x1.85x0.387%0.39%0.716%0.72%20-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%21-1.000000x-1.000000x1.797099x1.797099x1.80x1.322%1.32%2.376%2.38%22-1.000000x-1.000000x1.771358x1.771358x1.77x1.021%1.02%1.808%1.81%23-1.000000x-1.000000x1.732122x1.732122x1.73x1.505%1.50%2.606%2.61%24-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%25-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.666317x1.666317x1.67x1.492%1.49%2.486%2.49%26-1.000000x-1.000000x1.658480x1.658480x1.66x1.687%1.69%2.798%2.80%27-1.000000x-1.000000x1.654546x1.654546x1.65x2.731%2.73%4.519%4.52%28-1.000000x-1.000000x1.646276x1.646276x1.65x1.423%1.42%2.343%2.34%29-1.000000x-1.000000x1.645493x1.645493x1.65x0.656%0.66%1.079%1.08%30-1.000000x-1.000000x1.642114x1.642114x1.64x0.589%0.59%0.968%0.97%31-1.000000x-1.000000x1.634773x1.634773x1.63x3.849%3.85%6.292%6.29%32-1.000000x-1.000000x1.623998x1.623998x1.62x1.348%1.35%2.189%2.19%33-1.000000x-1.000000x1.609994x1.609994x1.61x2.442%2.44%3.932%3.93%34-1.000000x-1.000000x1.601589x1.601589x1.60x3.275%3.27%5.245%5.24%35-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.590424x1.590424x1.59x0.770%0.77%1.224%1.22%36-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%37-1.000000x-1.000000x1.532147x1.532147x1.53x0.661%0.66%1.013%1.01%38-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522652x1.522652x1.52x0.883%0.88%1.344%1.34%39-1.000000x-1.000000x1.506598x1.506598x1.51x2.027%2.03%3.053%3.05%40-1.000000x-1.000000x1.490387x1.490387x1.49x1.019%1.02%1.519%1.52%41-1.000000x-1.000000x1.481268x1.481268x1.48x2.009%2.01%2.976%2.98%42-1.000000x-1.000000x1.471795x1.471795x1.47x2.940%2.94%4.327%4.33%43-1.000000x-1.000000x1.469621x1.469621x1.47x1.863%1.86%2.738%2.74%44-1.000000x-1.000000x1.461851x1.461851x1.46x1.709%1.71%2.499%2.50%45-1.000000x-1.000000x1.435534x1.435534x1.44x2.425%2.43%3.481%3.48%46-1.000000x-1.000000x1.406400x1.406400x1.41x1.871%1.87%2.631%2.63%47-1.000000x-1.000000x1.250193x1.250193x1.25x0.968%0.97%1.210%1.21%48-1.000000x-1.000000x1.242747x1.242747x1.24x0.780%0.78%0.970%0.97%49-1.000000x-1.000000x1.220919x1.220919x1.22x0.758%0.76%0.925%0.93%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Ohio

There are 1,606 county subdivisions in Ohio. This section compares the 50 most populous of those to each other, Ohio, and other entities that contain or substantially overlap with Ohio. The least populous of the compared county subdivisions has a population of 36,945.

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 Ohio, selected county subdivisions in Ohio, and entities that contain Ohio
0%5%10%15%20%Count#ClevelandMiddletownLorainYoungstownSpringfieldDaytonMansfieldLimaMarion TownshipMarionCantonHamiltonWarrenToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkBath TownshipLancaster City TownshipLancaster CityColumbusColerain TownshipColerainEast North CentralEuclidOhioMidwestParmaFindlayFairfieldMiami TownshipMiamiUnion TownshipUnionHuber HeightsJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorLiberty TownshipLibertySylvania TownshipSylvaniaStrongsvilleViolet TownshipVioletJackson TownshipJacksonWashington TownshipWashingtonAnderson TownshipAndersonDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekDublin21.582420%21.582420%21.6%54,98155.0k118.211726%18.211726%18.2%5,591217.551080%17.551080%17.6%7,207316.999061%16.999061%17.0%7,424416.947843%16.947843%16.9%6,580516.928359%16.928359%16.9%14,88914.9k616.499446%16.499446%16.5%5,361716.278163%16.278163%16.3%3,757815.742056%15.742056%15.7%4,875915.631958%15.631958%15.6%7,3021015.293656%15.293656%15.3%6,2341115.055107%15.055107%15.1%4,0981214.332972%14.332972%14.3%26,34326.3k1313.761583%13.761583%13.8%26,28626.3k1413.591726%13.591726%13.6%17,95118.0k1513.343328%13.343328%13.3%4,8061613.020590%13.020590%13.0%27,818,38027.8M12.943290%12.943290%12.9%4,1061712.411362%12.411362%12.4%3,0631812.375999%12.375999%12.4%3,3311911.376979%11.376979%11.4%60,83160.8k2010.847918%10.847918%10.8%4,3142110.719464%10.719464%10.7%3,363,7843.36M10.656581%10.656581%10.7%3,5222210.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M9.939137%9.939137%9.9%5,683239.003845%9.003845%9.0%2,482248.712972%8.712972%8.7%2,559258.614662%8.614662%8.6%3,080268.597523%8.597523%8.6%2,777277.261193%7.261193%7.3%1,797286.480864%6.480864%6.5%1,944296.307136%6.307136%6.3%1,918306.197364%6.197364%6.2%2,215316.171554%6.171554%6.2%2,311326.109570%6.109570%6.1%2,246335.953744%5.953744%6.0%2,340345.804316%5.804316%5.8%2,402355.764815%5.764815%5.8%1,682365.727981%5.727981%5.7%2,390375.628396%5.628396%5.6%1,554385.595517%5.595517%5.6%1,408395.268752%5.268752%5.3%1,834405.136204%5.136204%5.1%1,169414.322119%4.322119%4.3%1,462424.066023%4.066023%4.1%1,313433.979966%3.979966%4.0%1,041443.830735%3.830735%3.8%1,118453.637690%3.637690%3.6%1,496463.351036%3.351036%3.4%978473.293195%3.293195%3.3%815483.105178%3.105178%3.1%1,170491.754602%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#45

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Ohio, selected county subdivisions in Ohio, and entities that contain Ohio
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 StatesUnion TownshipUnionJackson TownshipJacksonMidwestEast North CentralFairfieldBath TownshipFindlayMiami TownshipMiamiOhioHuber HeightsColerain TownshipColerainEuclidAkronParmaNewarkToledoDaytonMiddletownLancaster City TownshipLancaster CityClevelandElyriaHamiltonSpringfieldCantonMansfieldWarrenYoungstownLorainLimaMarion TownshipMarion75.246997%75.246997%75.2%18,35518.4k157.851139%57.851139%57.9%14,31714.3k256.039061%56.039061%56.0%16,35516.4k352.483891%52.483891%52.5%21,58421.6k451.261976%51.261976%51.3%19,31519.3k550.973364%50.973364%51.0%15,50115.5k650.549209%50.549209%50.5%11,50511.5k747.424805%47.424805%47.4%19,78819.8k846.115414%46.115414%46.1%15,59915.6k944.614765%44.614765%44.6%14,40714.4k1043.925605%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%64,767,78764.8M29.613003%29.613003%29.6%9,5652428.997200%28.997200%29.0%8,6982528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,2882626.954091%26.954091%27.0%6,6522726.775738%26.775738%26.8%7,3812826.713842%26.713842%26.7%9,5512926.667466%26.667466%26.7%2,092,8752.09M22.834168%22.834168%22.8%5,6513021.665661%21.665661%21.7%8,6163120.614221%20.614221%20.6%6,8133220.213821%20.213821%20.2%26,69726.7k3319.988457%19.988457%20.0%11,42911.4k3418.053148%18.053148%18.1%5,7273518.048021%18.048021%18.0%33,17133.2k3617.635555%17.635555%17.6%15,51115.5k3716.631922%16.631922%16.6%5,1063816.462939%16.462939%16.5%4,4313916.073076%16.073076%16.1%40,94640.9k4015.411739%15.411739%15.4%5,5514115.075315%15.075315%15.1%6,1454214.851256%14.851256%14.9%5,7664314.608666%14.608666%14.6%6,8244413.812631%13.812631%13.8%4,4884512.832476%12.832476%12.8%3,4934612.044055%12.044055%12.0%5,2604711.718579%11.718579%11.7%4,8124811.460139%11.460139%11.5%2,6454910.478559%10.478559%10.5%3,24550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Ohio, selected county subdivisions in Ohio, and entities that contain Ohio
0%2%4%6%8%10%Count#Cleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleDeerfield TownshipDeerfieldWest Chester TownshipW ChesterKetteringLiberty TownshipLibertyMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesPlain TownshipPlainBoardman TownshipBoardmanViolet TownshipVioletMiami TownshipMiamiMidwestEast North CentralOhioCuyahoga FallsGreen TownshipGrnBath TownshipAkronJackson TownshipJacksonClevelandMentorColerain TownshipColerainMiami TownshipMiamiFindlayToledoSpringfieldFairfieldEuclidHuber HeightsLimaDaytonCantonHamiltonUnion TownshipUnionParmaNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyriaYoungstownWarrenMarion TownshipMarion10.753042%10.753042%10.8%3,270110.031566%10.031566%10.0%2,44727.476443%7.476443%7.5%2,18237.470585%7.470585%7.5%2,52746.820669%6.820669%6.8%2,80556.685422%6.685422%6.7%2,51965.297242%5.297242%5.3%1,54675.051412%5.051412%5.1%1,85784.729595%4.729595%4.7%9,03494.555308%4.555308%4.6%1,471104.149830%4.149830%4.1%1,027114.100659%4.100659%4.1%1,711123.778338%3.778338%3.8%1,485133.514938%3.514938%3.5%800143.389898%3.389898%3.4%853153.357865%3.357865%3.4%17,95418.0k163.336158%3.336158%3.3%7,127,6737.13M3.036372%3.036372%3.0%1,137172.957809%2.957809%3.0%863182.940052%2.940052%2.9%769192.911988%2.911988%2.9%804202.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.481744%2.481744%2.5%887212.476862%2.476862%2.5%1,025222.451477%2.451477%2.5%605232.163955%2.163955%2.2%2,858242.063608%2.063608%2.1%619251.927780%1.927780%1.9%4,911261.815622%1.815622%1.8%632271.815530%1.815530%1.8%722281.762090%1.762090%1.8%630291.675978%1.675978%1.7%462301.642065%1.642065%1.6%3,018311.545396%1.545396%1.5%600321.477698%1.477698%1.5%434331.388805%1.388805%1.4%459341.349604%1.349604%1.3%334351.304159%1.304159%1.3%301361.257490%1.257490%1.3%1,106371.245933%1.245933%1.2%582381.241352%1.241352%1.2%506391.238390%1.238390%1.2%400401.236490%1.236490%1.2%707411.182108%1.182108%1.2%375421.159205%1.159205%1.2%312431.104887%1.104887%1.1%359440.996743%0.996743%1.0%306450.964372%0.964372%1.0%396460.952302%0.952302%1.0%343470.794541%0.794541%0.8%347480.742101%0.742101%0.7%202490.720098%0.720098%0.7%22350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Ohio, selected county subdivisions in Ohio, and entities that contain Ohio
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsBeavercreekUnionToledoFindlayLorainMarionYoungstownColerainGrnFairfieldElyriaMiddletownLancaster CityMidwestEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioLimaParmaColumbusClevelandDeerfieldMentorNewarkW 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-1.000000x1.207850x1.207850x1.21x16.045%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-1.000000x1.087544x1.087544x1.09x15.592%15.6%16.957%17.0%21-1.000000x-1.000000x1.081824x1.081824x1.08x9.568%9.57%10.350%10.4%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%24-1.000000x-1.000000x1.045216x1.045216x1.05x3.224%3.22%3.370%3.37%25-1.000000x-1.000000x1.038813x1.038813x1.04x5.175%5.17%5.376%5.38%26-1.000000x-1.000000x1.036562x1.036562x1.04x12.733%12.7%13.198%13.2%27-1.000000x-1.000000x1.031821x1.031821x1.03x5.641%5.64%5.821%5.82%28-1.000000x-1.000000x1.027725x1.027725x1.03x6.093%6.09%6.262%6.26%29-1.000000x-1.000000x1.026192x1.026192x1.03x5.072%5.07%5.205%5.20%30-1.000000x-1.000000x1.025236x1.025236x1.03x6.405%6.41%6.567%6.57%31-1.000000x-1.000000x1.021443x1.021443x1.02x7.189%7.19%7.344%7.34%32-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%33-1.000000x-1.000000x1.006889x1.006889x1.01x3.818%3.82%3.844%3.84%34-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%35-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%36-1.053306x-1.053306x1.05x1.000000x1.000000x5.733%5.73%5.442%5.44%37-1.068860x-1.068860x1.07x1.000000x1.000000x4.454%4.45%4.167%4.17%38-1.075183x-1.075183x1.08x1.000000x1.000000x5.828%5.83%5.420%5.42%39-1.084060x-1.084060x1.08x1.000000x1.000000x11.029%11.0%10.174%10.2%40-1.123601x-1.123601x1.12x1.000000x1.000000x9.091%9.09%8.091%8.09%41-1.132510x-1.132510x1.13x1.000000x1.000000x6.567%6.57%5.799%5.80%42-1.209810x-1.209810x1.21x1.000000x1.000000x4.433%4.43%3.664%3.66%43-1.275391x-1.275391x1.28x1.000000x1.000000x6.820%6.82%5.347%5.35%44-1.295653x-1.295653x1.30x1.000000x1.000000x13.964%14.0%10.778%10.8%45-1.385029x-1.385029x1.39x1.000000x1.000000x2.028%2.03%1.464%1.46%46-1.505212x-1.505212x1.51x1.000000x1.000000x7.040%7.04%4.677%4.68%47-1.641786x-1.641786x1.64x1.000000x1.000000x4.457%4.46%2.715%2.71%48-1.660386x-1.660386x1.66x1.000000x1.000000x7.066%7.07%4.256%4.26%49-1.798212x-1.798212x1.80x1.000000x1.000000x5.036%5.04%2.800%2.80%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 Ohio, selected county subdivisions in Ohio, and entities that contain Ohio
Female
Male
1x0x1x2x3xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringMifflinPlainBeavercreekDeerfieldDaytonNewarkEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipOhioFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestWarrenUnited StatesLibertyParmaCleveland HtsColumbusUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonCuyahoga FallsLima-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%1-1.000000x-1.000000x3.025650x3.025650x3.03x0.799%0.80%2.417%2.42%2-1.000000x-1.000000x2.977263x2.977263x2.98x3.534%3.53%10.523%10.5%3-1.000000x-1.000000x2.809581x2.809581x2.81x0.426%0.43%1.196%1.20%4-1.000000x-1.000000x2.780060x2.780060x2.78x1.621%1.62%4.507%4.51%5-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%6-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%7-1.000000x-1.000000x2.442537x2.442537x2.44x0.692%0.69%1.690%1.69%8-1.000000x-1.000000x2.437656x2.437656x2.44x0.991%0.99%2.417%2.42%9-1.000000x-1.000000x2.428350x2.428350x2.43x4.486%4.49%10.893%10.9%10-1.000000x-1.000000x2.183841x2.183841x2.18x3.386%3.39%7.394%7.39%11-1.000000x-1.000000x2.155653x2.155653x2.16x2.468%2.47%5.319%5.32%12-1.000000x-1.000000x2.069018x2.069018x2.07x2.252%2.25%4.660%4.66%13-1.000000x-1.000000x2.024516x2.024516x2.02x2.059%2.06%4.169%4.17%14-1.000000x-1.000000x2.007898x2.007898x2.01x4.457%4.46%8.948%8.95%15-1.000000x-1.000000x1.991550x1.991550x1.99x2.826%2.83%5.628%5.63%16-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%17-1.000000x-1.000000x1.967904x1.967904x1.97x0.822%0.82%1.618%1.62%18-1.000000x-1.000000x1.903271x1.903271x1.90x0.997%1.00%1.897%1.90%19-1.000000x-1.000000x1.851159x1.851159x1.85x2.056%2.06%3.806%3.81%20-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%21-1.000000x-1.000000x1.832511x1.832511x1.83x7.149%7.15%13.100%13.1%22-1.000000x-1.000000x1.805502x1.805502x1.81x5.447%5.45%9.835%9.84%23-1.000000x-1.000000x1.769961x1.769961x1.77x3.331%3.33%5.895%5.90%24-1.000000x-1.000000x1.691857x1.691857x1.69x1.833%1.83%3.102%3.10%25-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.650680x1.650680x1.65x1.122%1.12%1.852%1.85%26-1.000000x-1.000000x1.650301x1.650301x1.65x0.820%0.82%1.353%1.35%27-1.000000x-1.000000x1.648570x1.648570x1.65x3.124%3.12%5.150%5.15%28-1.000000x-1.000000x1.627164x1.627164x1.63x1.044%1.04%1.699%1.70%29-1.000000x-1.000000x1.624128x1.624128x1.62x3.883%3.88%6.306%6.31%30-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.543502x1.543502x1.54x0.592%0.59%0.914%0.91%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525512x1.525512x1.53x2.801%2.80%4.272%4.27%32-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%33-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%34-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%35-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%36-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%37-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%40-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%41-1.000000x-1.000000x1.246667x1.246667x1.25x1.577%1.58%1.966%1.97%42-1.000000x-1.000000x1.217109x1.217109x1.22x0.642%0.64%0.782%0.78%43-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%44-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%45-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%46-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%47-1.103703x-1.103703x1.10x1.000000x1.000000x1.302%1.30%1.180%1.18%48-1.188945x-1.188945x1.19x1.000000x1.000000x2.687%2.69%2.260%2.26%49-1.404867x-1.404867x1.40x1.000000x1.000000x1.525%1.53%1.086%1.09%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by State in the United States

There are 50 states in the United States. This section compares Ohio to all of the states in the United States and to those entities that contain or substantially overlap with Ohio.

No H.S. Diploma by State#49

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Ohio, selected other states in the United States, and entities that contain Ohio
0%5%10%15%Count#CaliforniaTexasMississippiLouisianaNew MexicoKentuckyAlabamaArkansasWest VirginiaNevadaGeorgiaNew YorkTennesseeSouth CarolinaS CarolinaArizonaNorth CarolinaN CarolinaRhode IslandUnited States of AmericaUnited StatesFloridaOklahomaIndianaIllinoisVirginiaDelawareMissouriNew JerseyEast North CentralOhioPennsylvaniaMarylandMidwestMichiganIdahoOregonMassachusettsConnecticutKansasWashingtonNebraskaColoradoSouth DakotaHawaiiWisconsinUtahIowaVermontMaineNorth DakotaAlaskaWyomingNew HampshireMinnesotaMontana17.895004%17.895004%17.9%4,572,9634.57M117.652499%17.652499%17.7%3,015,9523.02M217.042052%17.042052%17.0%332,266332k316.184390%16.184390%16.2%496,210496k415.372147%15.372147%15.4%211,201211k515.359218%15.359218%15.4%456,180456k615.209259%15.209259%15.2%496,036496k714.806918%14.806918%14.8%292,228292k814.659268%14.659268%14.7%190,148190k914.579697%14.579697%14.6%280,240280k1014.156087%14.156087%14.2%932,810933k1114.076424%14.076424%14.1%1,900,8921.90M1214.016272%14.016272%14.0%620,548621k1313.950072%13.950072%14.0%456,087456k1413.764766%13.764766%13.8%611,243611k1513.685443%13.685443%13.7%914,827915k1613.047738%13.047738%13.0%94,55894.6k1713.020590%13.020590%13.0%27,818,38027.8M12.824082%12.824082%12.8%1,807,3861.81M1812.740907%12.740907%12.7%322,890323k1911.923855%11.923855%11.9%517,458517k2011.703119%11.703119%11.7%1,008,6081.01M2111.362051%11.362051%11.4%638,662639k2211.194308%11.194308%11.2%71,74671.7k2311.167196%11.167196%11.2%454,882455k2411.101968%11.101968%11.1%678,613679k2510.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k2610.459911%10.459911%10.5%925,686926k2710.382272%10.382272%10.4%420,756421k2810.244520%10.244520%10.2%4,641,8354.64M10.122386%10.122386%10.1%676,467676k2910.039080%10.039080%10.0%105,170105k3010.033363%10.033363%10.0%276,498276k319.943770%9.943770%9.9%462,385462k329.850742%9.850742%9.9%242,932243k339.691216%9.691216%9.7%182,049182k349.418712%9.418712%9.4%452,496452k359.315025%9.315025%9.3%113,944114k369.015583%9.015583%9.0%323,691324k378.813537%8.813537%8.8%49,05549.1k388.730504%8.730504%8.7%84,94384.9k398.637220%8.637220%8.6%336,096336k408.474181%8.474181%8.5%144,663145k418.255425%8.255425%8.3%169,966170k428.104202%8.104202%8.1%35,44035.4k438.077290%8.077290%8.1%77,30577.3k447.963451%7.963451%8.0%38,03438.0k457.654998%7.654998%7.7%36,03236.0k467.608859%7.608859%7.6%29,45129.5k477.430090%7.430090%7.4%69,27469.3k487.376055%7.376055%7.4%270,121270k497.105467%7.105467%7.1%49,62749.6k50
Count number of people in category
# rank of state out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by State#50

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Ohio, selected other states in the United States, and entities that contain Ohio
0%10%20%30%40%Count#MassachusettsColoradoMarylandConnecticutNew JerseyVirginiaVermontNew HampshireNew YorkMinnesotaWashingtonIllinoisRhode IslandCaliforniaUtahKansasOregonHawaiiDelawareUnited States of AmericaUnited StatesNebraskaMontanaGeorgiaPennsylvaniaMaineNorth CarolinaN CarolinaMidwestAlaskaEast North CentralWisconsinNorth DakotaTexasArizonaFloridaMissouriSouth DakotaMichiganIowaOhioNew MexicoSouth CarolinaS CarolinaIdahoWyomingTennesseeIndianaOklahomaAlabamaNevadaLouisianaKentuckyArkansasMississippiWest Virginia41.221661%41.221661%41.2%1,916,8061.92M138.707368%38.707368%38.7%1,389,7301.39M238.412279%38.412279%38.4%1,556,7111.56M338.048253%38.048253%38.0%938,319938k437.464595%37.464595%37.5%2,290,0412.29M536.890897%36.890897%36.9%2,073,6412.07M636.181924%36.181924%36.2%158,225158k735.467167%35.467167%35.5%330,676331k834.740945%34.740945%34.7%4,691,4464.69M934.240609%34.240609%34.2%1,253,9371.25M1033.557116%33.557116%33.6%1,612,1591.61M1132.893660%32.893660%32.9%2,834,8692.83M1232.458314%32.458314%32.5%235,228235k1331.996381%31.996381%32.0%8,176,4878.18M1431.674773%31.674773%31.7%540,721541k1531.610465%31.610465%31.6%593,801594k1631.438326%31.438326%31.4%866,373866k1731.368782%31.368782%31.4%305,201305k1830.475336%30.475336%30.5%195,321195k1930.315023%30.315023%30.3%64,767,78764.8M29.984843%29.984843%30.0%366,783367k2029.934396%29.934396%29.9%209,072209k2129.411961%29.411961%29.4%1,938,0901.94M2229.333279%29.333279%29.3%2,595,9502.60M2329.315638%29.315638%29.3%280,570281k2429.028126%29.028126%29.0%1,940,4351.94M2528.952816%28.952816%29.0%13,118,64213.1M28.792286%28.792286%28.8%135,525136k2628.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M2728.172535%28.172535%28.2%134,554135k2828.098572%28.098572%28.1%4,800,6774.80M2927.956024%27.956024%28.0%1,241,4251.24M3027.883378%27.883378%27.9%3,929,7963.93M3127.634687%27.634687%27.6%1,125,6651.13M3227.450336%27.450336%27.5%152,785153k3327.410304%27.410304%27.4%1,831,7981.83M3427.172145%27.172145%27.2%559,431559k3526.667466%26.667466%26.7%2,092,8752.09M3626.656428%26.656428%26.7%366,238366k3726.459003%26.459003%26.5%865,057865k3826.248800%26.248800%26.2%274,984275k3926.009787%26.009787%26.0%100,674101k4025.351927%25.351927%25.4%1,122,4161.12M4124.611498%24.611498%24.6%1,068,0621.07M4224.469099%24.469099%24.5%620,115620k4324.010366%24.010366%24.0%783,076783k4423.180646%23.180646%23.2%445,561446k4522.957594%22.957594%23.0%703,875704k4622.698600%22.698600%22.7%674,165674k4721.506280%21.506280%21.5%424,446424k4821.023469%21.023469%21.0%409,891410k4919.559207%19.559207%19.6%253,706254k50
Count number of people in category
# rank of state out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by State#51

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Ohio, selected other states in the United States, and entities that contain Ohio
0%1%2%3%4%5%Count#MarylandMassachusettsConnecticutVermontNew YorkVirginiaNew JerseyCaliforniaRhode IslandColoradoHawaiiOregonWashingtonDelawareMinnesotaNew MexicoIllinoisUnited States of AmericaUnited StatesPennsylvaniaNew HampshireGeorgiaFloridaUtahMaineKansasMontanaArizonaNebraskaMidwestAlaskaNorth CarolinaN CarolinaEast North CentralMissouriMichiganTennesseeWisconsinOhioIowaTexasKentuckyWyomingIdahoLouisianaSouth DakotaAlabamaSouth CarolinaS CarolinaNorth DakotaNevadaIndianaOklahomaMississippiArkansasWest Virginia5.485611%5.485611%5.5%222,312222k15.434262%5.434262%5.4%252,693253k24.597610%4.597610%4.6%113,383113k34.271171%4.271171%4.3%18,67818.7k44.230387%4.230387%4.2%571,275571k54.187112%4.187112%4.2%235,358235k63.969164%3.969164%4.0%242,617243k73.893484%3.893484%3.9%994,957995k83.873560%3.873560%3.9%28,07228.1k93.857674%3.857674%3.9%138,504139k103.705862%3.705862%3.7%36,05636.1k113.591026%3.591026%3.6%98,96199.0k123.560013%3.560013%3.6%171,031171k133.481585%3.481585%3.5%22,31422.3k143.458748%3.458748%3.5%126,664127k153.389208%3.389208%3.4%46,56546.6k163.366505%3.366505%3.4%290,135290k173.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k183.279047%3.279047%3.3%30,57230.6k193.247807%3.247807%3.2%214,013214k203.143038%3.143038%3.1%442,970443k213.103621%3.103621%3.1%52,98253.0k223.022258%3.022258%3.0%28,92528.9k233.019438%3.019438%3.0%56,72056.7k243.002861%3.002861%3.0%20,97321.0k252.939174%2.939174%2.9%130,518131k262.935920%2.935920%2.9%35,91335.9k272.893416%2.893416%2.9%1,311,0191.31M2.878910%2.878910%2.9%13,55113.6k282.874397%2.874397%2.9%192,144192k292.855432%2.855432%2.9%896,039896k2.822400%2.822400%2.8%114,967115k302.809013%2.809013%2.8%187,723188k312.790570%2.790570%2.8%123,548124k322.703886%2.703886%2.7%105,215105k332.683241%2.683241%2.7%210,582211k342.675779%2.675779%2.7%55,09055.1k352.627765%2.627765%2.6%448,957449k362.618117%2.618117%2.6%77,76077.8k372.585116%2.585116%2.6%10,00610.0k382.576255%2.576255%2.6%26,98927.0k392.563814%2.563814%2.6%78,60678.6k402.514252%2.514252%2.5%13,99414.0k412.509806%2.509806%2.5%81,85581.9k422.483159%2.483159%2.5%81,18581.2k432.435475%2.435475%2.4%11,63211.6k442.404994%2.404994%2.4%46,22746.2k452.359248%2.359248%2.4%102,384102k462.301050%2.301050%2.3%58,31558.3k472.245391%2.245391%2.2%43,77843.8k482.170358%2.170358%2.2%42,83442.8k492.118620%2.118620%2.1%27,48127.5k50
Count number of people in category
# rank of state 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 State#52

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 Ohio, selected other states in the United States, and entities that contain Ohio
Female
Male
1x0x1xFM#VermontMaineNew HampshireN CarolinaLouisianaDelawareMississippiSouth DakotaIowaWisconsinNorth DakotaS CarolinaNebraskaMarylandGeorgiaKentuckyWest VirginiaIdahoTennesseeVirginiaOregonMontanaAlabamaColoradoMichiganMinnesotaKansasFloridaOklahomaMidwestWyomingArkansasEast North CentralIllinoisWashingtonUnited StatesNew MexicoOhioIndianaPennsylvaniaConnecticutMassachusettsMissouriUtahArizonaRhode IslandTexasNew JerseyNew YorkCaliforniaNevadaAlaskaHawaii-1.000000x-1.000000x1.442482x1.442482x1.44x6.676%6.68%9.629%9.63%1-1.000000x-1.000000x1.339157x1.339157x1.34x6.946%6.95%9.302%9.30%2-1.000000x-1.000000x1.314783x1.314783x1.31x6.441%6.44%8.468%8.47%3-1.000000x-1.000000x1.267161x1.267161x1.27x12.146%12.1%15.391%15.4%4-1.000000x-1.000000x1.261498x1.261498x1.26x14.384%14.4%18.146%18.1%5-1.000000x-1.000000x1.248925x1.248925x1.25x10.013%10.0%12.505%12.5%6-1.000000x-1.000000x1.246480x1.246480x1.25x15.263%15.3%19.025%19.0%7-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%8-1.000000x-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%9-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%10-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%11-1.000000x-1.000000x1.199802x1.199802x1.20x12.743%12.7%15.289%15.3%12-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%13-1.000000x-1.000000x1.192582x1.192582x1.19x9.516%9.52%11.349%11.3%14-1.000000x-1.000000x1.187601x1.187601x1.19x12.997%13.0%15.435%15.4%15-1.000000x-1.000000x1.173310x1.173310x1.17x14.174%14.2%16.631%16.6%16-1.000000x-1.000000x1.172392x1.172392x1.17x13.525%13.5%15.857%15.9%17-1.000000x-1.000000x1.168174x1.168174x1.17x9.269%9.27%10.828%10.8%18-1.000000x-1.000000x1.155483x1.155483x1.16x13.048%13.0%15.077%15.1%19-1.000000x-1.000000x1.153834x1.153834x1.15x10.578%10.6%12.205%12.2%20-1.000000x-1.000000x1.152993x1.152993x1.15x9.337%9.34%10.765%10.8%21-1.000000x-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%22-1.000000x-1.000000x1.150006x1.150006x1.15x14.201%14.2%16.331%16.3%23-1.000000x-1.000000x1.145449x1.145449x1.15x8.409%8.41%9.633%9.63%24-1.000000x-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%25-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%26-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%27-1.000000x-1.000000x1.133869x1.133869x1.13x12.051%12.1%13.664%13.7%28-1.000000x-1.000000x1.131274x1.131274x1.13x11.977%12.0%13.549%13.5%29-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127731x1.127731x1.13x7.148%7.15%8.061%8.06%30-1.000000x-1.000000x1.126200x1.126200x1.13x13.960%14.0%15.722%15.7%31-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%32-1.000000x-1.000000x1.111187x1.111187x1.11x8.930%8.93%9.923%9.92%33-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107012x1.107012x1.11x14.612%14.6%16.176%16.2%34-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%35-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%36-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%37-1.000000x-1.000000x1.088837x1.088837x1.09x9.451%9.45%10.290%10.3%38-1.000000x-1.000000x1.087930x1.087930x1.09x9.545%9.55%10.384%10.4%39-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%40-1.000000x-1.000000x1.080645x1.080645x1.08x8.148%8.15%8.805%8.81%41-1.000000x-1.000000x1.077884x1.077884x1.08x13.260%13.3%14.293%14.3%42-1.000000x-1.000000x1.077050x1.077050x1.08x12.588%12.6%13.557%13.6%43-1.000000x-1.000000x1.065414x1.065414x1.07x17.107%17.1%18.226%18.2%44-1.000000x-1.000000x1.058789x1.058789x1.06x10.799%10.8%11.434%11.4%45-1.000000x-1.000000x1.046080x1.046080x1.05x13.775%13.8%14.410%14.4%46-1.000000x-1.000000x1.035897x1.035897x1.04x17.587%17.6%18.218%18.2%47-1.000000x-1.000000x1.019933x1.019933x1.02x14.436%14.4%14.724%14.7%48-1.000000x-1.000000x1.010366x1.010366x1.01x7.614%7.61%7.693%7.69%49-1.095812x-1.095812x1.10x1.000000x1.000000x9.123%9.12%8.325%8.33%50
F percentage of females in category
M percentage of males in category
# rank of state out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by State#53

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 Ohio, selected other states in the United States, and entities that contain Ohio
Female
Male
1x0x1x2xFM#UtahIdahoWyomingWest VirginiaArkansasOklahomaIndianaNebraskaNorth DakotaFloridaOhioArizonaAlabamaSouth DakotaMaineIowaMichiganLouisianaTexasPennsylvaniaNevadaS CarolinaEast North CentralDelawareTennesseeNew MexicoMidwestMissouriNew JerseyMontanaWisconsinRhode IslandKansasN CarolinaVirginiaOregonUnited StatesConnecticutMississippiIllinoisNew HampshireWashingtonMinnesotaMarylandVermontKentuckyNew YorkColoradoCaliforniaMassachusettsHawaiiGeorgiaAlaska-1.000000x-1.000000x2.589916x2.589916x2.59x1.734%1.73%4.492%4.49%1-1.000000x-1.000000x2.084806x2.084806x2.08x1.677%1.68%3.497%3.50%2-1.000000x-1.000000x1.834449x1.834449x1.83x1.819%1.82%3.336%3.34%3-1.000000x-1.000000x1.768492x1.768492x1.77x1.542%1.54%2.727%2.73%4-1.000000x-1.000000x1.759784x1.759784x1.76x1.590%1.59%2.798%2.80%5-1.000000x-1.000000x1.751591x1.751591x1.75x1.685%1.69%2.952%2.95%6-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%7-1.000000x-1.000000x1.674648x1.674648x1.67x2.207%2.21%3.696%3.70%8-1.000000x-1.000000x1.674474x1.674474x1.67x1.815%1.81%3.038%3.04%9-1.000000x-1.000000x1.673660x1.673660x1.67x2.376%2.38%3.977%3.98%10-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%11-1.000000x-1.000000x1.668898x1.668898x1.67x2.215%2.21%3.696%3.70%12-1.000000x-1.000000x1.664913x1.664913x1.66x1.909%1.91%3.178%3.18%13-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%14-1.000000x-1.000000x1.651252x1.651252x1.65x2.302%2.30%3.801%3.80%15-1.000000x-1.000000x1.647686x1.647686x1.65x2.033%2.03%3.349%3.35%16-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%17-1.000000x-1.000000x1.637964x1.637964x1.64x1.964%1.96%3.217%3.22%18-1.000000x-1.000000x1.633282x1.633282x1.63x2.008%2.01%3.280%3.28%19-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%20-1.000000x-1.000000x1.620591x1.620591x1.62x1.837%1.84%2.977%2.98%21-1.000000x-1.000000x1.615062x1.615062x1.62x1.923%1.92%3.105%3.11%22-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596530x1.596530x1.60x2.714%2.71%4.333%4.33%23-1.000000x-1.000000x1.592476x1.592476x1.59x2.175%2.18%3.464%3.46%24-1.000000x-1.000000x1.591747x1.591747x1.59x2.632%2.63%4.190%4.19%25-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%26-1.000000x-1.000000x1.579216x1.579216x1.58x3.110%3.11%4.911%4.91%27-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%28-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%29-1.000000x-1.000000x1.574993x1.574993x1.57x3.043%3.04%4.793%4.79%30-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%31-1.000000x-1.000000x1.558133x1.558133x1.56x2.273%2.27%3.541%3.54%32-1.000000x-1.000000x1.558034x1.558034x1.56x3.300%3.30%5.141%5.14%33-1.000000x-1.000000x1.535955x1.535955x1.54x2.847%2.85%4.373%4.37%34-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.509265x1.509265x1.51x3.700%3.70%5.585%5.58%35-1.000000x-1.000000x1.503521x1.503521x1.50x1.814%1.81%2.727%2.73%36-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%37-1.000000x-1.000000x1.494911x1.494911x1.49x2.641%2.64%3.948%3.95%38-1.000000x-1.000000x1.493422x1.493422x1.49x2.865%2.86%4.278%4.28%39-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%40-1.000000x-1.000000x1.469793x1.469793x1.47x4.489%4.49%6.598%6.60%41-1.000000x-1.000000x1.450239x1.450239x1.45x3.507%3.51%5.087%5.09%42-1.000000x-1.000000x1.432443x1.432443x1.43x2.166%2.17%3.103%3.10%43-1.000000x-1.000000x1.415590x1.415590x1.42x3.534%3.53%5.003%5.00%44-1.000000x-1.000000x1.406987x1.406987x1.41x3.210%3.21%4.517%4.52%45-1.000000x-1.000000x1.400935x1.400935x1.40x3.256%3.26%4.561%4.56%46-1.000000x-1.000000x1.387729x1.387729x1.39x4.589%4.59%6.368%6.37%47-1.000000x-1.000000x1.346009x1.346009x1.35x3.167%3.17%4.262%4.26%48-1.000000x-1.000000x1.244296x1.244296x1.24x2.910%2.91%3.621%3.62%49-1.000000x-1.000000x1.233407x1.233407x1.23x2.568%2.57%3.167%3.17%50
F percentage of females in category
M percentage of males in category
# rank of state out of 50 by male-to-female sex ratio

Educational Attainment by State in the Midwest

There are 12 states in the Midwest. This section compares Ohio to all of the states in the Midwest and to those entities that contain or substantially overlap with Ohio.

No H.S. Diploma by State#54

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Ohio, selected other states in the Midwest, and entities that contain Ohio
0%5%10%Count#United States of AmericaUnited StatesIndianaIllinoisMissouriEast North CentralOhioMidwestMichiganKansasNebraskaSouth DakotaWisconsinIowaNorth DakotaMinnesota13.020590%13.020590%13.0%27,818,38027.8M11.923855%11.923855%11.9%517,458517k111.703119%11.703119%11.7%1,008,6081.01M211.167196%11.167196%11.2%454,882455k310.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k410.244520%10.244520%10.2%4,641,8354.64M10.122386%10.122386%10.1%676,467676k59.691216%9.691216%9.7%182,049182k69.315025%9.315025%9.3%113,944114k78.813537%8.813537%8.8%49,05549.1k88.637220%8.637220%8.6%336,096336k98.255425%8.255425%8.3%169,966170k107.963451%7.963451%8.0%38,03438.0k117.376055%7.376055%7.4%270,121270k12
Count number of people in category
# rank of state out of 12 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by State#55

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Ohio, selected other states in the Midwest, and entities that contain Ohio
0%10%20%30%Count#MinnesotaIllinoisKansasUnited States of AmericaUnited StatesNebraskaMidwestEast North CentralWisconsinNorth DakotaMissouriSouth DakotaMichiganIowaOhioIndiana34.240609%34.240609%34.2%1,253,9371.25M132.893660%32.893660%32.9%2,834,8692.83M231.610465%31.610465%31.6%593,801594k330.315023%30.315023%30.3%64,767,78764.8M29.984843%29.984843%30.0%366,783367k428.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.373439%28.373439%28.4%1,104,0821.10M528.172535%28.172535%28.2%134,554135k627.634687%27.634687%27.6%1,125,6651.13M727.450336%27.450336%27.5%152,785153k827.410304%27.410304%27.4%1,831,7981.83M927.172145%27.172145%27.2%559,431559k1026.667466%26.667466%26.7%2,092,8752.09M1124.611498%24.611498%24.6%1,068,0621.07M12
Count number of people in category
# rank of state out of 12 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by State#56

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Ohio, selected other states in the Midwest, and entities that contain Ohio
0%1%2%3%Count#MinnesotaIllinoisUnited States of AmericaUnited StatesKansasNebraskaMidwestEast North CentralMissouriMichiganWisconsinOhioIowaSouth DakotaNorth DakotaIndiana3.458748%3.458748%3.5%126,664127k13.366505%3.366505%3.4%290,135290k23.336158%3.336158%3.3%7,127,6737.13M3.019438%3.019438%3.0%56,72056.7k32.935920%2.935920%2.9%35,91335.9k42.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.822400%2.822400%2.8%114,967115k52.809013%2.809013%2.8%187,723188k62.703886%2.703886%2.7%105,215105k72.683241%2.683241%2.7%210,582211k82.675779%2.675779%2.7%55,09055.1k92.514252%2.514252%2.5%13,99414.0k102.435475%2.435475%2.4%11,63211.6k112.359248%2.359248%2.4%102,384102k12
Count number of people in category
# rank of state out of 12 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 State#57

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 Ohio, selected other states in the Midwest, and entities that contain Ohio
Female
Male
1x0x1xFM#South DakotaIowaWisconsinNorth DakotaNebraskaMichiganMinnesotaKansasMidwestEast North CentralIllinoisUnited StatesOhioIndianaMissouri-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%1-1.000000x-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%2-1.000000x-1.000000x1.219291x1.219291x1.22x7.799%7.80%9.509%9.51%3-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%4-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%5-1.000000x-1.000000x1.145031x1.145031x1.15x9.461%9.46%10.834%10.8%6-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%7-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%8-1.000000x-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-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%9-1.000000x-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%10-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%11-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%12
F percentage of females in category
M percentage of males in category
# rank of state out of 12 by male-to-female sex ratio

Over-Education Sex Ratio by State#58

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 Ohio, selected other states in the Midwest, and entities that contain Ohio
Female
Male
1x0x1xFM#IndianaNebraskaNorth DakotaOhioSouth DakotaIowaMichiganEast North CentralMidwestMissouriWisconsinKansasUnited StatesIllinoisMinnesota-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%1-1.000000x-1.000000x1.674648x1.674648x1.67x2.207%2.21%3.696%3.70%2-1.000000x-1.000000x1.674474x1.674474x1.67x1.815%1.81%3.038%3.04%3-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%4-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%5-1.000000x-1.000000x1.647686x1.647686x1.65x2.033%2.03%3.349%3.35%6-1.000000x-1.000000x1.645347x1.645347x1.65x2.143%2.14%3.526%3.53%7-1.000000x-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-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%8-1.000000x-1.000000x1.576114x1.576114x1.58x2.109%2.11%3.323%3.32%9-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%10-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%11-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%12
F percentage of females in category
M percentage of males in category
# rank of state out of 12 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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Demographics

Income

Education

More Maps to Explore

Major Counties:
Butler, Clermont, Cuyahoga, Delaware, Franklin, Hamilton, Lake, Lorain, Lucas, Mahoning, Montgomery, Stark, Summit, Trumbull, Warren
Counties:
Adams, Allen, Ashland, Ashtabula, Athens, Auglaize, Belmont, Brown, Butler, Carroll, Champaign, Clark, Clermont, Clinton, Columbiana, Coshocton, Crawford, Cuyahoga, Darke, Defiance, Delaware, Erie, Fairfield, Fayette, Franklin, Fulton, Gallia, Geauga, Greene, Guernsey, Hamilton, Hancock, Hardin, Harrison, Henry, Highland, Hocking, Holmes, Huron, Jackson, Jefferson, Knox, Lake, Lawrence, Licking, Logan, Lorain, Lucas, Madison, Mahoning, Marion, Medina, Meigs, Mercer, Miami, Monroe, Montgomery, Morgan, Morrow, Muskingum, Noble, Ottawa, Paulding, Perry, Pickaway, Pike, Portage, Preble, Putnam, Richland, Ross, Sandusky, Scioto, Seneca, Shelby, Stark, Summit, Trumbull, Tuscarawas, Union, Van Wert, Vinton, Warren, Washington, Wayne, Williams, Wood, Wyandot
Metro Areas:
Akron Area, Ashland Area, Ashtabula Area, Athens Area, Bellefontaine Area, Bucyrus Area, Cambridge Area, Canton Area, Celina Area, Chillicothe Area, Cincinnati Area, Cleveland Area, Columbus Area, Coshocton Area, Dayton Area, Defiance Area, Findlay Area, Fremont Area, Greenville Area, Huntington Area, Jackson Area, Lima Area, Mansfield Area, Marietta Area, Marion Area, Mount Vernon Area, New Philadelphia Area, Norwalk Area, Point Pleasant Area, Port Clinton Area, Portsmouth Area, Salem Area, Sandusky Area, Sidney Area, Springfield Area, Tiffin Area, Toledo Area, Urbana Area, Van Wert Area, Wapakoneta Area, Washington Court House Area, Weirton Area, Wheeling Area, Wilmington Area, Wooster Area, Youngstown Area, Zanesville Area
Major Cities:
Akron, Beavercreek, Bowling Green, Brunswick, Canton, Cincinnati, Cleveland, Cleveland Heights, Columbus, Cuyahoga Falls, Dayton, Delaware, Dublin, Elyria, Euclid, Fairborn, Fairfield, Findlay, Gahanna, Grove City, Hamilton, Hilliard, Huber Heights, Kettering, Lakewood, Lancaster, Lima, Lorain, Mansfield, Marion, Mason, Massillon, Mentor, Middletown, Newark, North Olmsted, North Ridgeville, North Royalton, Parma, Reynoldsburg, Springfield, Stow, Strongsville, Toledo, Upper Arlington, Warren, Westerville, Westlake, Youngstown
Major Unincorporated Place:
Boardman
Congressional Districts:
OH-1, OH-2, OH-3, OH-4, OH-5, OH-6, OH-7, OH-8, OH-9, OH-10, OH-11, OH-12, OH-13, OH-14, OH-15, OH-16
State House Districts:
OH-1, OH-2, OH-3, OH-4, OH-5, OH-6, OH-7, OH-8, OH-9, OH-10, OH-11, OH-12, OH-13, OH-14, OH-15, OH-16, OH-17, OH-18, OH-19, OH-20, OH-21, OH-22, OH-23, OH-24, OH-25, OH-26, OH-27, OH-28, OH-29, OH-30, OH-31, OH-32, OH-33, OH-34, OH-35, OH-36, OH-37, OH-38, OH-39, OH-40, OH-41, OH-42, OH-43, OH-44, OH-45, OH-46, OH-47, OH-48, OH-49, OH-50, OH-51, OH-52, OH-53, OH-54, OH-55, OH-56, OH-57, OH-58, OH-59, OH-60, OH-61, OH-62, OH-63, OH-64, OH-65, OH-66, OH-67, OH-68, OH-69, OH-70, OH-71, OH-72, OH-73, OH-74, OH-75, OH-76, OH-77, OH-78, OH-79, OH-80, OH-81, OH-82, OH-83, OH-84, OH-85, OH-86, OH-87, OH-88, OH-89, OH-90, OH-91, OH-92, OH-93, OH-94, OH-95, OH-96, OH-97, OH-98, OH-99
State Senate Districts:
OH-1, OH-2, OH-3, OH-4, OH-5, OH-6, OH-7, OH-8, OH-9, OH-10, OH-11, OH-12, OH-13, OH-14, OH-15, OH-16, OH-17, OH-18, OH-19, OH-20, OH-21, OH-22, OH-23, OH-24, OH-25, OH-26, OH-27, OH-28, OH-29, OH-30, OH-31, OH-32, OH-33
Neighboring States:
Indiana, Kentucky, Michigan, Pennsylvania, West Virginia