Educational Attainment in Columbus, Franklin County, Ohio (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Franklin County and Columbus
Columbus
Franklin County
0%10%20%30%40%CountHigher Degree1H.S. Diploma2No H.S. Diploma241.683047%45.145812%41.683047%41.7%222,873223k46.939974%45.213532%46.939974%46.9%250,981251k11.376979%9.640656%11.376979%11.4%60,83160.8k
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 Franklin County at large.
Scope: population of Franklin County and Columbus
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-7.670180%-7.670180%-7.7%41.683%41.7%45.146%45.1%3.818420%3.818420%+3.8%46.940%46.9%45.214%45.2%18.010420%18.010420%+18.0%11.377%11.4%9.641%9.64%
% percentage with given level in Columbus
ref. percentage with given level in Franklin County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Franklin County and Columbus
Columbus
Franklin County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.531369%1.811679%1.531369%1.5%8,1881.826496%2.523840%1.826496%1.8%9,7668.535680%9.655308%8.535680%8.5%45,63945.6k22.792298%24.362114%22.792298%22.8%121,867122k6.997204%6.792871%6.997204%7.0%37,41337.4k21.132255%20.236033%21.132255%21.1%112,991113k25.807719%24.977499%25.807719%25.8%137,990138k7.656097%6.564103%7.656097%7.7%40,93640.9k2.083096%1.817589%2.083096%2.1%11,13811.1k1.637787%1.258965%1.637787%1.6%8,757
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 Franklin County at large.
Scope: population of Franklin County and Columbus
-20%0%+20%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-15.472369%-15.472369%-15.5%1.531%1.53%1.812%1.81%-27.630287%-27.630287%-27.6%1.826%1.83%2.524%2.52%-11.595988%-11.595988%-11.6%8.536%8.54%9.655%9.66%-6.443676%-6.443676%-6.4%22.792%22.8%24.362%24.4%3.008050%3.008050%+3.0%6.997%7.00%6.793%6.79%4.428845%4.428845%+4.4%21.132%21.1%20.236%20.2%3.323871%3.323871%+3.3%25.808%25.8%24.977%25.0%16.635846%16.635846%+16.6%7.656%7.66%6.564%6.56%14.607656%14.607656%+14.6%2.083%2.08%1.818%1.82%30.089921%30.089921%+30.1%1.638%1.64%1.259%1.26%
% percentage with given level in Columbus
ref. percentage with given level in Franklin County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Franklin County and Columbus
More Females More Males
Franklin County
Columbus
2%0%2%4%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-2.158841%-0.233601%-2.158841%2%42.111%42.1%41.221%41.2%-0.996633%0.662864%0.662864%1%46.791%46.8%47.101%47.1%5.223663%5.904647%5.223663%5%11.098%11.1%11.678%11.7%
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 Franklin County and Columbus
More Females More Males
Franklin County
Columbus
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None55.661307%61.766902%55.661307%56%1.208%1.21%1.881%1.88%30.522323%53.339565%30.522323%31%1.593%1.59%2.079%2.08%-20.131298%-17.391795%-20.131298%20%9.284%9.28%7.728%7.73%4.263686%3.844257%4.263686%4%22.334%22.3%23.287%23.3%-23.132030%-23.499170%-23.132030%23%7.692%7.69%6.247%6.25%2.074195%0.361216%2.074195%2%20.924%20.9%21.358%21.4%-0.481042%-2.109859%-0.481042%0%25.867%25.9%25.743%25.7%12.023742%10.590238%12.023742%12%7.238%7.24%8.108%8.11%8.625700%10.723231%8.625700%9%2.000%2.00%2.173%2.17%-33.136432%-26.534093%-33.136432%33%1.860%1.86%1.397%1.40%
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 Franklin County and Columbus
Columbus
Franklin County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3414.043857%15.330755%14.043857%14.0%10,95811.0k78,02778.0k18.031877%21.603582%18.031877%18.0%32,83132.8k182,072182k23.596047%26.831250%23.596047%23.6%25,45425.5k107,874108k31.565814%31.788067%31.565814%31.6%52,62452.6k166,712167k
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 Franklin County at large.
Scope: population of Franklin County and Columbus
15%10%5%0%%ref.65+45-6435-4425-34-8.394227%-8.394227%8.4%14.044%14.0%15.331%15.3%-16.532928%-16.532928%16.5%18.032%18.0%21.604%21.6%-12.057592%-12.057592%12.1%23.596%23.6%26.831%26.8%-0.699172%-0.699172%0.7%31.566%31.6%31.788%31.8%
% percentage in Columbus with a Bachelor's degree
ref percentage in Franklin County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Franklin County and Columbus
More Females More Males
Franklin County
Columbus
5%0%5%10%15%20%25%FM65+45-6435-4425-3429.215262%28.825650%29.215262%29.2%12.536%12.5%16.199%16.2%5.590677%4.286587%5.590677%5.6%17.562%17.6%18.544%18.5%-2.811213%-2.407589%-2.811213%2.8%23.926%23.9%23.272%23.3%-3.747065%-5.170928%-3.747065%3.7%32.146%32.1%30.985%31.0%
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 Franklin County and Columbus
Columbus
Franklin County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$57,109.000000$65,455.000000$57,109.000000$57.1k63,59363.6k11.894%11.9%$45,688.000000$50,041.000000$45,688.000000$45.7k121,867122k22.792%22.8%$31,643.000000$33,379.000000$31,643.000000$31.6k150,404150k28.129%28.1%$26,412.000000$27,590.000000$26,412.000000$26.4k137,990138k25.808%25.8%$17,891.000000$19,357.000000$17,891.000000$17.9k60,83160.8k11.377%11.4%$34,731.000000$37,667.000000$34,731.000000$34.7k534,685535k100.000%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 Franklin County and Columbus
Female Male
Franklin County
Columbus
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-52,369.000000$-55,942.000000$-52,369.000000$52.4k$52,369.000000$12,782.000000$55,942.000000$21,708.000000$65,151.000000$65.2k33,55033.6k30,04330.0k$-41,602.000000$-42,455.000000$-41,602.000000$41.6k$41,602.000000$9,213.000000$42,455.000000$14,070.000000$50,815.000000$50.8k62,00762.0k59,86059.9k$-29,451.000000$-30,619.000000$-29,451.000000$29.5k$29,451.000000$5,594.000000$30,619.000000$6,508.000000$35,045.000000$35.0k79,44579.4k70,95971.0k$-22,615.000000$-23,711.000000$-22,615.000000$22.6k$22,615.000000$7,476.000000$23,711.000000$7,553.000000$30,091.000000$30.1k71,81571.8k66,17566.2k$-15,206.000000$-15,908.000000$-15,206.000000$15.2k$15,206.000000$5,403.000000$15,908.000000$5,626.000000$20,609.000000$20.6k30,81230.8k30,01930.0k$-31,682.000000$-33,476.000000$-31,682.000000$31.7k$31,682.000000$5,645.000000$33,476.000000$8,782.000000$37,327.000000$37.3k277,629278k257,056257k
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 Franklin County and Columbus
Columbus
Franklin County
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma347.138965%51.171875%47.138965%47.1%17346.866485%41.601563%46.866485%46.9%1725.994550%7.226563%5.994550%6.0%220.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Franklin County and Columbus
Columbus
Franklin County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.463941%86.756017%87.463941%87.5%145,233145k77.692034%78.752853%77.692034%77.7%102,792103k67.166172%68.256660%67.166172%67.2%74,44974.4k49.341537%49.946044%49.341537%49.3%23,41723.4k
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 Franklin County and Columbus
Female Male
Franklin County
Columbus
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-7.550927%-6.553545%-7.550927%7.6%7.550927%1.279454%6.553545%1.018230%8.830381%8.8%14,40514.4k12,97013.0k-14.202522%-1.209856%-13.475000%-1.246153%-15.412378%15.4%14.202522%13.475000%14.202522%14.2%8,85311,53011.5k-14.854658%-2.479680%-11.767581%-2.284040%-17.334337%17.3%14.854658%11.767581%14.854658%14.9%1,9472,302-30.909594%-28.798343%-30.909594%30.9%30.909594%2.795729%28.798343%3.321844%33.705322%33.7%4,3193,354-17.525299%-16.482191%-17.525299%17.5%17.525299%4.733515%16.482191%4.591368%22.258814%22.3%2,2981,905
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 Franklin County and Columbus
Female Male
Franklin County
Columbus
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-40.506617%-42.322762%-40.506617%40.5%40.506617%0.588216%42.322762%1.640257%41.094832%41.1%67,03867.0k69,57769.6k-17.484840%-1.876208%-19.040278%-1.437053%-19.361048%19.4%17.484840%19.040278%17.484840%17.5%10,89910.9k14,48414.5k-54.088855%-58.614732%-54.088855%54.1%54.088855%8.297656%58.614732%7.744214%62.386511%62.4%8,1777,183-17.332605%-2.527316%-18.783629%-4.496758%-19.859921%19.9%17.332605%18.783629%17.332605%17.3%2,2212,155-21.416118%-4.232456%-22.060231%-4.851930%-25.648574%25.6%21.416118%22.060231%21.416118%21.4%2,2112,788
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in Columbus

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

Percentage of the population 25 years and older with given highest level of educational attainment
4%20%36%52%67%83%

Coarse: High School Diploma Educational Attainment by Neighborhood#17

Percentage of the population 25 years and older with given highest level of educational attainment
16%27%38%50%61%72%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%9%17%25%34%42%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.3%4.5%6.8%9.0%11.3%

Detailed: Professional Degree Educational Attainment by Neighborhood#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.1%4.1%6.2%8.3%10.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%5%11%16%21%27%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%11%20%30%39%49%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.0%3.7%6.4%9.1%11.7%14.4%

Detailed: Some College Educational Attainment by Neighborhood#24

Percentage of the population 25 years and older with given highest level of educational attainment
7%13%19%24%30%36%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4%14%25%35%45%56%

Detailed: Some High School Educational Attainment by Neighborhood#26

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%13%20%26%33%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.7%3.4%5.1%6.8%8.5%

Detailed: None Educational Attainment by Neighborhood#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.0%3.9%5.9%7.9%9.9%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Columbus

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
4%22%39%56%73%91%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
8%23%37%51%65%79%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
0%8%17%25%34%42%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.4%4.7%7.1%9.5%11.9%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.3%6.6%10.0%13.3%16.7%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%15%22%30%38%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
1%12%22%32%42%52%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.2%6.4%9.7%12.9%16.1%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
4%12%19%26%33%41%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
1%12%23%34%45%56%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%13%19%26%33%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.9%7.8%11.7%15.6%19.6%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.1%4.3%6.4%8.5%10.7%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in Columbus

There are 250 neighborhoods that are fully or partially contained within Columbus (85 fully and 165 partially). This section compares the 50 most populous of those to each other, Columbus, and other entities that contain or substantially overlap with Columbus. The least populous of the compared neighborhoods has a population of 4,948.

No H.S. Diploma by Neighborhood#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbus, selected neighborhoods in Columbus, and entities that contain Columbus
0%10%20%30%Count#Central Hilltop NeighborhoodCntrl HilltopHolly Hill NeighborhoodHolly HillSouth Hilltop NeighborhoodSouth HilltopFranklinton NeighborhoodFranklintonSouthside NeighborhoodSouthsideSouth Linden NeighborhoodSouth LindenSouth Side CAN NeighborhoodS Side CANLeawood NeighborhoodLeawoodNorth Hilltop NeighborhoodNorth HilltopSouthwest NeighborhoodSouthwestMaize-Morse NeighborhoodMaize-MorseNorth Linden NeighborhoodNorth LindenCherry Creek NeighborhoodCherry CreekWestgate NeighborhoodWestgateBrookshire NeighborhoodBrookshireRiverbend NeighborhoodRiverbendForest Park East NeighborhoodFrst Pk EWestchester-Green Countrie NeighborhoodWestchester-Grn …Eastland NeighborhoodEastlandEastmoor NeighborhoodEastmoorUnited States of AmericaUnited StatesWalnut Heights NeighborhoodWalnut HtsSomerset NeighborhoodSomersetColumbusColumbusLinwood NeighborhoodLinwoodSouthwest Airport NeighborhoodSW AirportLaurel Greene NeighborhoodLaurel GreeneEast North CentralOhioWexford-Thornapple NeighborhoodWexford-ThornappleMidwestGlenbrook NeighborhoodGlenbrookDevonshire NeighborhoodDevonshireFranklin CountyFranklinThe Ohio State University NeighborhoodThe Ohio State UnivColumbus Metro AreaColumbus AreaNorthern Woods NeighborhoodN WdsNorthgate NeighborhoodNorthgateIndependence Village NeighborhoodIndependence VlgShady Lane NeighborhoodShady LaneRiverside NeighborhoodRiversideEast Broad NeighborhoodEast BroadOld North Columbus NeighborhoodOld N ColumbusSharon Heights NeighborhoodSharon HtsMerion Village NeighborhoodMerion VlgSweetwater NeighborhoodSweetwaterDowntown NeighborhoodDowntownWhite Ash NeighborhoodWhite AshEast NeighborhoodEastNecko NeighborhoodNeckoCross Creek NeighborhoodCross CreekTri-Village NeighborhoodTri-VillageOlde Sawmill NeighborhoodOlde SawmillStrawberry Farms NeighborhoodStrawberry FarmsClintonville NeighborhoodClintonvilleCentral Clintonville NeighborhoodCntrl ClintonvilleDexter Falls NeighborhoodDexter Falls32.398758%32.398758%32.4%1,7101,711130.241376%30.241376%30.2%1,058229.992635%29.992635%30.0%1,1301,131327.470638%27.470638%27.5%1,6301,631426.241087%26.241087%26.2%2,711525.458553%25.458553%25.5%1,350624.097877%24.097877%24.1%805806722.907127%22.907127%22.9%733822.229707%22.229707%22.2%731732920.569201%20.569201%20.6%1,0341,0351020.155628%20.155628%20.2%1,4061118.995942%18.995942%19.0%3,5133,5141218.544087%18.544087%18.5%8051317.722750%17.722750%17.7%7377381417.368228%17.368228%17.4%7611517.335395%17.335395%17.3%9081616.817863%16.817863%16.8%1,8371716.216800%16.216800%16.2%6341815.677317%15.677317%15.7%7657661914.564617%14.564617%14.6%1,0442013.020590%13.020590%13.0%27,818,38027.8M12.676968%12.676968%12.7%6296302112.133693%12.133693%12.1%5312211.376979%11.376979%11.4%60,83160.8k11.226988%11.226988%11.2%61,30861.3k11.201308%11.201308%11.2%4822311.108627%11.108627%11.1%3973982410.822439%10.822439%10.8%3812510.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.253198%10.253198%10.3%5382610.244520%10.244520%10.2%4,641,8354.64M9.939114%9.939114%9.9%437279.741872%9.741872%9.7%381289.640656%9.640656%9.6%78,29978.3k9.407256%9.407256%9.4%181182299.314501%9.314501%9.3%123,226123k9.261194%9.261194%9.3%897898308.385102%8.385102%8.4%476318.379286%8.379286%8.4%481328.107759%8.107759%8.1%311312337.469589%7.469589%7.5%482347.354449%7.354449%7.4%888889357.252461%7.252461%7.3%247366.928174%6.928174%6.9%355356376.859806%6.859806%6.9%292386.571533%6.571533%6.6%348396.181830%6.181830%6.2%254255406.067852%6.067852%6.1%261415.976493%5.976493%6.0%347348424.238417%4.238417%4.2%38433.886290%3.886290%3.9%139140442.410620%2.410620%2.4%142143452.388786%2.388786%2.4%8182462.125175%2.125175%2.1%82471.984717%1.984717%2.0%125481.601744%1.601744%1.6%61491.587791%1.587791%1.6%535450
Count number of people in category
# rank of neighborhood out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbus, selected neighborhoods in Columbus, and entities that contain Columbus
0%20%40%60%Count#Necko NeighborhoodNeckoCentral Clintonville NeighborhoodCntrl ClintonvilleTri-Village NeighborhoodTri-VillageClintonville NeighborhoodClintonvilleDexter Falls NeighborhoodDexter FallsDowntown NeighborhoodDowntownThe Ohio State University NeighborhoodThe Ohio State UnivOld North Columbus NeighborhoodOld N ColumbusOlde Sawmill NeighborhoodOlde SawmillMerion Village NeighborhoodMerion VlgRiverside NeighborhoodRiversideSharon Heights NeighborhoodSharon HtsSweetwater NeighborhoodSweetwaterWexford-Thornapple NeighborhoodWexford-ThornappleEast Broad NeighborhoodEast BroadStrawberry Farms NeighborhoodStrawberry FarmsFranklin CountyFranklinCross Creek NeighborhoodCross CreekColumbusColumbus Metro AreaColumbus AreaColumbusDevonshire NeighborhoodDevonshireNorthgate NeighborhoodNorthgateWhite Ash NeighborhoodWhite AshUnited States of AmericaUnited StatesEast NeighborhoodEastSomerset NeighborhoodSomersetMidwestEast North CentralNorthern Woods NeighborhoodN WdsOhioEastmoor NeighborhoodEastmoorShady Lane NeighborhoodShady LaneFranklinton NeighborhoodFranklintonWestgate NeighborhoodWestgateIndependence Village NeighborhoodIndependence VlgMaize-Morse NeighborhoodMaize-MorseLaurel Greene NeighborhoodLaurel GreeneGlenbrook NeighborhoodGlenbrookLinwood NeighborhoodLinwoodWestchester-Green Countrie NeighborhoodWestchester-Grn …Southwest Airport NeighborhoodSW AirportForest Park East NeighborhoodFrst Pk ERiverbend NeighborhoodRiverbendWalnut Heights NeighborhoodWalnut HtsCherry Creek NeighborhoodCherry CreekNorth Linden NeighborhoodNorth LindenSouth Side CAN NeighborhoodS Side CANEastland NeighborhoodEastlandBrookshire NeighborhoodBrookshireNorth Hilltop NeighborhoodNorth HilltopSouthwest NeighborhoodSouthwestLeawood NeighborhoodLeawoodSouthside NeighborhoodSouthsideCentral Hilltop NeighborhoodCntrl HilltopSouth Linden NeighborhoodSouth LindenHolly Hill NeighborhoodHolly HillSouth Hilltop NeighborhoodSouth Hilltop73.435795%73.435795%73.4%663172.385217%72.385217%72.4%2,7682,769268.695510%68.695510%68.7%4,0634,064368.684395%68.684395%68.7%4,327463.157083%63.157083%63.2%2,1312,132558.751349%58.751349%58.8%2,421656.435527%56.435527%56.4%1,090753.742288%53.742288%53.7%1,833853.562371%53.562371%53.6%1,834952.828649%52.828649%52.8%2,2521048.071551%48.071551%48.1%3,1021143.396211%43.396211%43.4%2,2292,2301241.548713%41.548713%41.5%2,2022,2031340.664812%40.664812%40.7%2,1341439.105571%39.105571%39.1%4,7251538.720224%38.720224%38.7%1,4971,4981638.352941%38.352941%38.4%311,493311k37.747391%37.747391%37.7%1,3571,3581734.813955%34.813955%34.8%190,111190k34.785494%34.785494%34.8%460,194460k34.685843%34.685843%34.7%185,460185k34.029648%34.029648%34.0%1,3321833.664211%33.664211%33.7%1,9121930.874558%30.874558%30.9%1,3281,3292030.315023%30.315023%30.3%64,767,78764.8M30.310532%30.310532%30.3%1,7621,7632129.163109%29.163109%29.2%1,2772228.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.870147%27.870147%27.9%2,7012,7022326.667466%26.667466%26.7%2,092,8752.09M25.341685%25.341685%25.3%1,8172424.201139%24.201139%24.2%9302524.063529%24.063529%24.1%1,4282622.785090%22.785090%22.8%9482722.415488%22.415488%22.4%1,2872821.091728%21.091728%21.1%1,4711,4722920.569254%20.569254%20.6%7243020.145430%20.145430%20.1%8863119.771475%19.771475%19.8%8513219.412654%19.412654%19.4%7593319.262531%19.262531%19.3%6893418.442179%18.442179%18.4%2,0142,0153516.537779%16.537779%16.5%8663615.548864%15.548864%15.5%7723715.541053%15.541053%15.5%6746753813.534574%13.534574%13.5%2,5032,5043912.212635%12.212635%12.2%4084011.521634%11.521634%11.5%5625634110.760227%10.760227%10.8%471472429.700236%9.700236%9.7%319439.241887%9.241887%9.2%464465447.616628%7.616628%7.6%243244457.231455%7.231455%7.2%747466.625836%6.625836%6.6%349350476.494169%6.494169%6.5%344484.586768%4.586768%4.6%160161494.541196%4.541196%4.5%17150
Count number of people in category
# rank of neighborhood out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbus, selected neighborhoods in Columbus, and entities that contain Columbus
0%5%10%15%Count#Necko NeighborhoodNeckoDowntown NeighborhoodDowntownCentral Clintonville NeighborhoodCntrl ClintonvilleTri-Village NeighborhoodTri-VillageDexter Falls NeighborhoodDexter FallsMerion Village NeighborhoodMerion VlgThe Ohio State University NeighborhoodThe Ohio State UnivClintonville NeighborhoodClintonvilleOlde Sawmill NeighborhoodOlde SawmillSharon Heights NeighborhoodSharon HtsWexford-Thornapple NeighborhoodWexford-ThornappleFranklin CountyFranklinOld North Columbus NeighborhoodOld N ColumbusColumbus Metro AreaColumbus AreaWhite Ash NeighborhoodWhite AshSweetwater NeighborhoodSweetwaterColumbusColumbusUnited States of AmericaUnited StatesRiverside NeighborhoodRiversideEastmoor NeighborhoodEastmoorMidwestEast North CentralStrawberry Farms NeighborhoodStrawberry FarmsOhioWestchester-Green Countrie NeighborhoodWestchester-Grn …East Broad NeighborhoodEast BroadNorthgate NeighborhoodNorthgateCross Creek NeighborhoodCross CreekDevonshire NeighborhoodDevonshireIndependence Village NeighborhoodIndependence VlgFranklinton NeighborhoodFranklintonGlenbrook NeighborhoodGlenbrookShady Lane NeighborhoodShady LaneForest Park East NeighborhoodFrst Pk EWestgate NeighborhoodWestgateEast NeighborhoodEastLinwood NeighborhoodLinwoodNorthern Woods NeighborhoodN WdsMaize-Morse NeighborhoodMaize-MorseLaurel Greene NeighborhoodLaurel GreeneNorth Linden NeighborhoodNorth LindenSouth Side CAN NeighborhoodS Side CANCherry Creek NeighborhoodCherry CreekSouthwest NeighborhoodSouthwestSouth Hilltop NeighborhoodSouth HilltopRiverbend NeighborhoodRiverbendNorth Hilltop NeighborhoodNorth HilltopSouthside NeighborhoodSouthsideSouth Linden NeighborhoodSouth LindenEastland NeighborhoodEastlandWalnut Heights NeighborhoodWalnut HtsCentral Hilltop NeighborhoodCntrl HilltopLeawood NeighborhoodLeawoodHolly Hill NeighborhoodHolly HillBrookshire NeighborhoodBrookshireSomerset NeighborhoodSomersetSouthwest Airport NeighborhoodSW Airport16.245514%16.245514%16.2%146147113.821387%13.821387%13.8%569570211.217068%11.217068%11.2%429311.099323%11.099323%11.1%65665748.663481%8.663481%8.7%29257.748250%7.748250%7.7%33067.478503%7.478503%7.5%14477.099721%7.099721%7.1%44785.163061%5.163061%5.2%17617795.013973%5.013973%5.0%257258104.767481%4.767481%4.8%250114.335519%4.335519%4.3%35,21235.2k3.928034%3.928034%3.9%133134123.620928%3.620928%3.6%47,90347.9k3.568062%3.568062%3.6%153154133.392105%3.392105%3.4%179180143.357865%3.357865%3.4%17,95418.0k3.353556%3.353556%3.4%18,31318.3k3.336158%3.336158%3.3%7,127,6737.13M3.131717%3.131717%3.1%202153.113880%3.113880%3.1%223162.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.685661%2.685661%2.7%103104172.683241%2.683241%2.7%210,582211k2.418484%2.418484%2.4%9495182.093579%2.093579%2.1%252253191.979153%1.979153%2.0%112201.835193%1.835193%1.8%66211.758937%1.758937%1.8%6869221.629526%1.629526%1.6%9394231.585084%1.585084%1.6%94241.431190%1.431190%1.4%6263251.395871%1.395871%1.4%5354261.368752%1.368752%1.4%149150271.338737%1.338737%1.3%5556281.267499%1.267499%1.3%7374291.264834%1.264834%1.3%54301.151855%1.151855%1.2%111112311.119604%1.119604%1.1%78320.711567%0.711567%0.7%25330.698572%0.698572%0.7%129340.631470%0.631470%0.6%21350.478130%0.478130%0.5%2021360.455935%0.455935%0.5%2223370.452564%0.452564%0.5%17380.275215%0.275215%0.3%14390.269451%0.269451%0.3%89400.256909%0.256909%0.3%2627410.237472%0.237472%0.2%1213420.195571%0.195571%0.2%910430.189831%0.189831%0.2%9440.184868%0.184868%0.2%910450.157609%0.157609%0.2%5460.115685%0.115685%0.1%4470.077426%0.077426%0.1%3480.039387%0.039387%0.0%12490.002185%0.002185%0.0%050
Count number of people in category
# rank of neighborhood 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 Neighborhood#45

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 Columbus, selected neighborhoods in Columbus, and entities that contain Columbus
Female
Male
2x1x0x1x2xFM#ClintonvilleSW AirportStrawberry FarmsLaurel GreeneMerion VlgWexford-ThornappleCherry CreekThe Ohio State UnivRiversideOlde SawmillCntrl HilltopSouthwestEastmoorBrookshireSouth HilltopIndependence VlgRiverbendWalnut HtsSouth LindenOld N ColumbusLeawoodNorth LindenWestchester-Grn CountrieWestchester-Grn …Shady LaneMidwestEast North CentralUnited StatesOhioColumbus AreaSouthsideMaize-MorseDowntownFranklinColumbusColumbusCross CreekS Side CANWestgateFranklintonFrst Pk ENeckoSharon HtsEastlandWhite AshLinwoodDevonshireNorth HilltopSweetwaterN WdsHolly HillEast BroadNorthgateCntrl ClintonvilleEastGlenbrookDexter FallsSomersetTri-Village-1.000000x-1.000000x2.318078x2.318078x2.32x1.179%1.18%2.732%2.73%1-1.000000x-1.000000x1.814689x1.814689x1.81x8.141%8.14%14.773%14.8%2-1.000000x-1.000000x1.704218x1.704218x1.70x1.565%1.57%2.668%2.67%3-1.000000x-1.000000x1.681196x1.681196x1.68x8.087%8.09%13.595%13.6%4-1.000000x-1.000000x1.568295x1.568295x1.57x5.248%5.25%8.231%8.23%5-1.000000x-1.000000x1.461573x1.461573x1.46x8.330%8.33%12.175%12.2%6-1.000000x-1.000000x1.434612x1.434612x1.43x15.558%15.6%22.320%22.3%7-1.000000x-1.000000x1.417307x1.417307x1.42x7.466%7.47%10.582%10.6%8-1.000000x-1.000000x1.393683x1.393683x1.39x6.268%6.27%8.735%8.74%9-1.000000x-1.000000x1.391603x1.391603x1.39x2.006%2.01%2.792%2.79%10-1.000000x-1.000000x1.389926x1.389926x1.39x26.949%26.9%37.457%37.5%11-1.000000x-1.000000x1.332094x1.332094x1.33x17.650%17.7%23.512%23.5%12-1.000000x-1.000000x1.318932x1.318932x1.32x12.736%12.7%16.798%16.8%13-1.000000x-1.000000x1.293354x1.293354x1.29x15.276%15.3%19.757%19.8%14-1.000000x-1.000000x1.286942x1.286942x1.29x25.997%26.0%33.457%33.5%15-1.000000x-1.000000x1.282913x1.282913x1.28x7.497%7.50%9.618%9.62%16-1.000000x-1.000000x1.222846x1.222846x1.22x15.571%15.6%19.041%19.0%17-1.000000x-1.000000x1.220213x1.220213x1.22x11.570%11.6%14.118%14.1%18-1.000000x-1.000000x1.207008x1.207008x1.21x23.345%23.3%28.177%28.2%19-1.000000x-1.000000x1.154855x1.154855x1.15x6.664%6.66%7.696%7.70%20-1.000000x-1.000000x1.153112x1.153112x1.15x21.375%21.4%24.648%24.6%21-1.000000x-1.000000x1.135574x1.135574x1.14x17.799%17.8%20.212%20.2%22-1.000000x-1.000000x1.128090x1.128090x1.13x15.361%15.4%17.329%17.3%23-1.000000x-1.000000x1.127977x1.127977x1.13x7.684%7.68%8.668%8.67%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-1.000000x1.109070x1.109070x1.11x12.369%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%-1.000000x-1.000000x1.101960x1.101960x1.10x24.987%25.0%27.535%27.5%25-1.000000x-1.000000x1.098243x1.098243x1.10x19.267%19.3%21.160%21.2%26-1.000000x-1.000000x1.083235x1.083235x1.08x5.917%5.92%6.410%6.41%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%-1.000000x-1.000000x1.050970x1.050970x1.05x10.959%11.0%11.517%11.5%-1.000000x-1.000000x1.037933x1.037933x1.04x3.815%3.81%3.959%3.96%28-1.000000x-1.000000x1.022796x1.022796x1.02x23.824%23.8%24.368%24.4%29-1.000000x-1.000000x1.017372x1.017372x1.02x17.568%17.6%17.873%17.9%30-1.000000x-1.000000x1.008082x1.008082x1.01x27.355%27.4%27.576%27.6%31-1.010914x-1.010914x1.01x1.000000x1.000000x16.900%16.9%16.718%16.7%32-1.044092x-1.044092x1.04x1.000000x1.000000x4.371%4.37%4.187%4.19%33-1.068959x-1.068959x1.07x1.000000x1.000000x7.141%7.14%6.680%6.68%34-1.090043x-1.090043x1.09x1.000000x1.000000x16.321%16.3%14.972%15.0%35-1.146277x-1.146277x1.15x1.000000x1.000000x6.417%6.42%5.598%5.60%36-1.171347x-1.171347x1.17x1.000000x1.000000x11.924%11.9%10.180%10.2%37-1.193237x-1.193237x1.19x1.000000x1.000000x10.528%10.5%8.823%8.82%38-1.218234x-1.218234x1.22x1.000000x1.000000x24.222%24.2%19.883%19.9%39-1.291410x-1.291410x1.29x1.000000x1.000000x7.385%7.39%5.719%5.72%40-1.349741x-1.349741x1.35x1.000000x1.000000x10.515%10.5%7.790%7.79%41-1.403646x-1.403646x1.40x1.000000x1.000000x35.236%35.2%25.103%25.1%42-1.436896x-1.436896x1.44x1.000000x1.000000x8.558%8.56%5.956%5.96%43-1.439952x-1.439952x1.44x1.000000x1.000000x9.856%9.86%6.845%6.84%44-1.445849x-1.445849x1.45x1.000000x1.000000x1.887%1.89%1.305%1.31%45-1.465701x-1.465701x1.47x1.000000x1.000000x6.979%6.98%4.762%4.76%46-1.466929x-1.466929x1.47x1.000000x1.000000x11.542%11.5%7.868%7.87%47-1.851593x-1.851593x1.85x1.000000x1.000000x2.074%2.07%1.120%1.12%48-2.043928x-2.043928x2.04x1.000000x1.000000x15.485%15.5%7.576%7.58%49-2.098620x-2.098620x2.10x1.000000x1.000000x3.355%3.35%1.599%1.60%50
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#46

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 Columbus, selected neighborhoods in Columbus, and entities that contain Columbus
Female
Male
10x5x0x5x10xFM#RiverbendHolly HillStrawberry FarmsS Side CANSouthsideEastOlde SawmillMerion VlgFranklintonCntrl ClintonvilleSW AirportGlenbrookCross CreekOhioDexter FallsEast North CentralMidwestFranklinColumbus AreaSharon HtsLaurel GreeneUnited StatesEastmoorCherry CreekNorthgateEast BroadMaize-MorseColumbusColumbusClintonvilleSweetwaterLeawoodWestgateN WdsDowntownTri-VillageThe Ohio State UnivNeckoWexford-ThornappleShady LaneRiversideSouthwestIndependence VlgSouth HilltopOld N ColumbusWhite AshDevonshireNorth LindenWestchester-Grn CountrieWestchester-Grn …LinwoodFrst Pk ESouth LindenBrookshireWalnut HtsCntrl HilltopSomersetEastlandNorth Hilltop-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.541%0.54%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.235%0.23%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.285%0.28%5.014%5.01%3-1.000000x-1.000000x6.096761x6.096761x6.10x0.177%0.18%1.080%1.08%4-1.000000x-1.000000x4.358346x4.358346x4.36x0.097%0.10%0.422%0.42%5-1.000000x-1.000000x4.183075x4.183075x4.18x0.520%0.52%2.174%2.17%6-1.000000x-1.000000x2.477545x2.477545x2.48x3.003%3.00%7.440%7.44%7-1.000000x-1.000000x2.401405x2.401405x2.40x4.410%4.41%10.590%10.6%8-1.000000x-1.000000x2.071377x2.071377x2.07x1.015%1.01%2.102%2.10%9-1.000000x-1.000000x1.946165x1.946165x1.95x7.660%7.66%14.907%14.9%10-1.000000x-1.000000x1.806668x1.806668x1.81x0.002%0.00%0.003%0.00%11-1.000000x-1.000000x1.723485x1.723485x1.72x1.088%1.09%1.875%1.87%12-1.000000x-1.000000x1.716023x1.716023x1.72x1.355%1.35%2.325%2.32%13-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.664866x1.664866x1.66x6.472%6.47%10.775%10.8%14-1.000000x-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-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.561905x1.561905x1.56x3.980%3.98%6.217%6.22%15-1.000000x-1.000000x1.550307x1.550307x1.55x0.559%0.56%0.866%0.87%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.500247x1.500247x1.50x2.542%2.54%3.813%3.81%17-1.000000x-1.000000x1.496410x1.496410x1.50x0.392%0.39%0.587%0.59%18-1.000000x-1.000000x1.472251x1.472251x1.47x1.608%1.61%2.368%2.37%19-1.000000x-1.000000x1.457577x1.457577x1.46x1.728%1.73%2.518%2.52%20-1.000000x-1.000000x1.436706x1.436706x1.44x0.929%0.93%1.335%1.33%21-1.000000x-1.000000x1.429727x1.429727x1.43x2.780%2.78%3.974%3.97%-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%-1.000000x-1.000000x1.395171x1.395171x1.40x5.892%5.89%8.220%8.22%22-1.000000x-1.000000x1.391266x1.391266x1.39x2.848%2.85%3.962%3.96%23-1.000000x-1.000000x1.325609x1.325609x1.33x0.137%0.14%0.181%0.18%24-1.000000x-1.000000x1.297173x1.297173x1.30x1.163%1.16%1.509%1.51%25-1.000000x-1.000000x1.266836x1.266836x1.27x1.026%1.03%1.300%1.30%26-1.000000x-1.000000x1.181978x1.181978x1.18x12.591%12.6%14.882%14.9%27-1.000000x-1.000000x1.057328x1.057328x1.06x10.767%10.8%11.385%11.4%28-1.000000x-1.000000x1.022524x1.022524x1.02x7.375%7.38%7.541%7.54%29-1.013388x-1.013388x1.01x1.000000x1.000000x16.402%16.4%16.185%16.2%30-1.124335x-1.124335x1.12x1.000000x1.000000x5.047%5.05%4.489%4.49%31-1.204812x-1.204812x1.20x1.000000x1.000000x1.506%1.51%1.250%1.25%32-1.233552x-1.233552x1.23x1.000000x1.000000x3.450%3.45%2.797%2.80%33-1.241384x-1.241384x1.24x1.000000x1.000000x0.505%0.50%0.407%0.41%34-1.254553x-1.254553x1.25x1.000000x1.000000x1.780%1.78%1.419%1.42%35-1.297255x-1.297255x1.30x1.000000x1.000000x0.516%0.52%0.398%0.40%36-1.394947x-1.394947x1.39x1.000000x1.000000x4.684%4.68%3.358%3.36%37-1.409531x-1.409531x1.41x1.000000x1.000000x4.073%4.07%2.890%2.89%38-1.540386x-1.540386x1.54x1.000000x1.000000x2.098%2.10%1.362%1.36%39-1.574229x-1.574229x1.57x1.000000x1.000000x0.853%0.85%0.542%0.54%40-1.693084x-1.693084x1.69x1.000000x1.000000x2.942%2.94%1.738%1.74%41-2.044077x-2.044077x2.04x1.000000x1.000000x1.605%1.60%0.785%0.78%42-2.400695x-2.400695x2.40x1.000000x1.000000x1.856%1.86%0.773%0.77%43-9.705737x-9.705737x9.71x1.000000x1.000000x0.391%0.39%0.040%0.04%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.139%0.14%0.007%0.01%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.336%0.34%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.384%0.38%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.068%0.07%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.374%0.37%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.498%0.50%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Columbus Area

There are 181 county subdivisions in the Columbus Area. This section compares Columbus to the 50 most populous county subdivisions in the Columbus Area and to those entities that contain or substantially overlap with Columbus. The least populous of the compared county subdivisions has a population of 6,814.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
0%5%10%15%20%Count#Franklin TownshipFranklinPike TownshipScioto TownshipSciotoWhitehallHamilton TownshipHamiltonCirclevilleLondonUnion TownshipUnionPrairie TownshipPrairieUnited States of AmericaUnited StatesPleasant TownshipPleasantNewarkFalls TownshipFallsLancaster City TownshipLancaster CityWalnut TownshipWalnutJefferson TownshipJeffersonColumbusColumbusEast North CentralHeathMonroe TownshipMonroeOhioHarrison TownshipHarrisonMidwestParis TownshipParisFranklin CountyFranklinColumbus Metro AreaColumbus AreaBlendon TownshipBlendonMadison TownshipMadisonPataskalaEtna TownshipTruro TownshipTruroColumbusJackson TownshipJacksonDelaware City TownshipDelaware CityLiberty TownshipLibertyMifflin TownshipMifflinHarrison TownshipHarrisonViolet TownshipVioletBloom TownshipBloomWestervilleNorwich TownshipNorwichJefferson TownshipJeffersonBerlin TownshipBerlinConcord TownshipConcordPlain TownshipPlainWesterville City TownshipWesterville CityBexleyJerome TownshipJeromeSharon TownshipSharonDublinLiberty TownshipLibertyOrange TownshipOrangeGranville TownshipGranvilleGenoa TownshipGenoaUpper ArlingtonGrandview HeightsGrandview Hts24.885541%24.885541%24.9%1,685119.520852%19.520852%19.5%880219.407227%19.407227%19.4%1,434319.347697%19.347697%19.3%2,272415.953777%15.953777%16.0%925515.617892%15.617892%15.6%1,442613.879574%13.879574%13.9%952713.757596%13.757596%13.8%815813.417155%13.417155%13.4%1,558913.020590%13.020590%13.0%27,818,38027.8M13.017397%13.017397%13.0%6511012.943290%12.943290%12.9%4,1061112.793800%12.793800%12.8%1,0071212.375999%12.375999%12.4%3,3311311.694215%11.694215%11.7%5661411.543839%11.543839%11.5%5781511.376979%11.376979%11.4%60,83160.8k1611.226988%11.226988%11.2%61,30861.3k10.719464%10.719464%10.7%3,363,7843.36M10.699701%10.699701%10.7%7861710.520898%10.520898%10.5%5111810.514146%10.514146%10.5%825,155825k10.252270%10.252270%10.3%5081910.244520%10.244520%10.2%4,641,8354.64M10.236565%10.236565%10.2%1,640209.640656%9.640656%9.6%78,29978.3k9.314501%9.314501%9.3%123,226123k8.397699%8.397699%8.4%511218.155569%8.155569%8.2%1,384227.536491%7.536491%7.5%759237.242608%7.242608%7.2%752246.948891%6.948891%6.9%1,259256.732802%6.732802%6.7%414266.480864%6.480864%6.5%1,944276.430658%6.430658%6.4%1,475286.338438%6.338438%6.3%327295.595517%5.595517%5.6%1,408305.490989%5.490989%5.5%326313.979966%3.979966%4.0%1,041323.712336%3.712336%3.7%223333.672345%3.672345%3.7%733343.371215%3.371215%3.4%795352.958028%2.958028%3.0%222362.710914%2.710914%2.7%116372.662407%2.662407%2.7%175382.451334%2.451334%2.5%170392.242444%2.242444%2.2%138402.234276%2.234276%2.2%173412.157989%2.157989%2.2%109421.943537%1.943537%1.9%232431.754602%1.754602%1.8%428441.730449%1.730449%1.7%312451.713710%1.713710%1.7%306461.642439%1.642439%1.6%87471.387785%1.387785%1.4%227481.346130%1.346130%1.3%324490.707108%0.707108%0.7%3850
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#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
0%20%40%60%Count#DublinBexleyUpper ArlingtonPlain TownshipPlainGrandview HeightsGrandview HtsLiberty TownshipLibertySharon TownshipSharonGenoa TownshipGenoaOrange TownshipOrangeConcord TownshipConcordGranville TownshipGranvilleJerome TownshipJeromeWesterville City TownshipWesterville CityBerlin TownshipBerlinJefferson TownshipJeffersonNorwich TownshipNorwichWestervilleMifflin TownshipMifflinViolet TownshipVioletFranklin CountyFranklinBlendon TownshipBlendonBloom TownshipBloomColumbusColumbus Metro AreaColumbus AreaColumbusDelaware City TownshipDelaware CityEtna TownshipHarrison TownshipHarrisonUnited States of AmericaUnited StatesColumbusJackson TownshipJacksonMidwestEast North CentralTruro TownshipTruroParis TownshipParisPataskalaOhioUnion TownshipUnionMonroe TownshipMonroeMadison TownshipMadisonPleasant TownshipPleasantLiberty TownshipLibertyPrairie TownshipPrairieHarrison TownshipHarrisonNewarkHeathWalnut TownshipWalnutLancaster City TownshipLancaster CityFalls TownshipFallsCirclevilleLondonJefferson TownshipJeffersonWhitehallScioto TownshipSciotoPike TownshipHamilton TownshipHamiltonFranklin TownshipFranklin75.246997%75.246997%75.2%18,35518.4k174.092729%74.092729%74.1%5,737274.003905%74.003905%74.0%17,81217.8k371.521269%71.521269%71.5%4,960471.027168%71.027168%71.0%3,817566.605657%66.605657%66.6%12,00912.0k666.390215%66.390215%66.4%7,925765.470441%65.470441%65.5%10,70910.7k862.964830%62.964830%63.0%11,24311.2k962.954511%62.954511%63.0%4,1381062.828016%62.828016%62.8%3,3281157.038210%57.038210%57.0%2,8811256.824829%56.824829%56.8%3,4971356.415050%56.415050%56.4%2,4141455.429714%55.429714%55.4%4,1601553.460266%53.460266%53.5%12,60712.6k1651.127255%51.127255%51.1%10,20510.2k1743.925605%43.925605%43.9%11,05311.1k1843.657287%43.657287%43.7%11,41911.4k1938.352941%38.352941%38.4%311,493311k36.203780%36.203780%36.2%2,2032035.924754%35.924754%35.9%2,1582134.813955%34.813955%34.8%190,111190k34.785494%34.785494%34.8%460,194460k34.685843%34.685843%34.7%185,460185k2234.119545%34.119545%34.1%7,8262332.129442%32.129442%32.1%3,3362430.907866%30.907866%30.9%1,8352530.315023%30.315023%30.3%64,767,78764.8M29.663360%29.663360%29.7%1,8242628.997200%28.997200%29.0%8,6982728.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.878353%27.878353%27.9%5,0512827.476437%27.476437%27.5%4,4022926.968523%26.968523%27.0%2,7163026.667466%26.667466%26.7%2,092,8752.09M23.109386%23.109386%23.1%1,3693122.894791%22.894791%22.9%1,1123221.373011%21.373011%21.4%3,6273321.075785%21.075785%21.1%1,0543420.469083%20.469083%20.5%1,0563518.790906%18.790906%18.8%2,1823618.668012%18.668012%18.7%9253718.053148%18.053148%18.1%5,7273817.438062%17.438062%17.4%1,2813916.880165%16.880165%16.9%8174016.462939%16.462939%16.5%4,4314116.198704%16.198704%16.2%1,2754215.715369%15.715369%15.7%1,4514313.952471%13.952471%14.0%9574413.620931%13.620931%13.6%6824512.671379%12.671379%12.7%1,4884611.056977%11.056977%11.1%8174710.048802%10.048802%10.0%453489.796482%9.796482%9.8%568499.038547%9.038547%9.0%61250
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#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
0%5%10%15%Count#Upper ArlingtonBexleyPlain TownshipPlainGrandview HeightsGrandview HtsGranville TownshipGranvilleSharon TownshipSharonDublinLiberty TownshipLibertyJerome TownshipJeromeJefferson TownshipJeffersonConcord TownshipConcordOrange TownshipOrangeNorwich TownshipNorwichGenoa TownshipGenoaWestervilleWesterville City TownshipWesterville CityFranklin CountyFranklinEtna TownshipBlendon TownshipBlendonColumbus Metro AreaColumbus AreaMifflin TownshipMifflinColumbusColumbusUnited States of AmericaUnited StatesBerlin TownshipBerlinDelaware City TownshipDelaware CityViolet TownshipVioletMidwestEast North CentralOhioBloom TownshipBloomUnion TownshipUnionHarrison TownshipHarrisonParis TownshipParisTruro TownshipTruroJackson TownshipJacksonMadison TownshipMadisonMonroe TownshipMonroePataskalaWalnut TownshipWalnutColumbusLiberty TownshipLibertyNewarkHarrison TownshipHarrisonLancaster City TownshipLancaster CityHeathFalls TownshipFallsCirclevillePleasant TownshipPleasantPrairie TownshipPrairieLondonFranklin TownshipFranklinScioto TownshipSciotoPike TownshipJefferson TownshipJeffersonWhitehallHamilton TownshipHamilton16.893099%16.893099%16.9%4,066114.748805%14.748805%14.7%1,142214.534968%14.534968%14.5%1,008313.658355%13.658355%13.7%734413.196149%13.196149%13.2%699510.404624%10.404624%10.4%1,242610.031566%10.031566%10.0%2,44778.879645%8.879645%8.9%1,60188.156801%8.156801%8.2%41297.834777%7.834777%7.8%588107.333029%7.333029%7.3%482117.073253%7.073253%7.1%1,263126.632177%6.632177%6.6%1,564135.422755%5.422755%5.4%887145.145291%5.145291%5.1%1,027154.956126%4.956126%5.0%305164.335519%4.335519%4.3%35,21235.2k4.256958%4.256958%4.3%442173.944125%3.944125%3.9%240183.620928%3.620928%3.6%47,90347.9k3.389898%3.389898%3.4%853193.357865%3.357865%3.4%17,95418.0k203.353556%3.353556%3.4%18,31318.3k3.336158%3.336158%3.3%7,127,6737.13M3.108203%3.108203%3.1%133212.982081%2.982081%3.0%684222.940052%2.940052%2.9%769232.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.596970%2.596970%2.6%156242.329507%2.329507%2.3%138252.280525%2.280525%2.3%113262.159665%2.159665%2.2%346272.102881%2.102881%2.1%381282.063608%2.063608%2.1%619292.044785%2.044785%2.0%347302.038295%2.038295%2.0%99311.737663%1.737663%1.7%175321.611570%1.611570%1.6%78331.317287%1.317287%1.3%81341.221167%1.221167%1.2%63351.182108%1.182108%1.2%375361.162203%1.162203%1.2%69371.159205%1.159205%1.2%312381.157092%1.157092%1.2%85391.105323%1.105323%1.1%87401.093902%1.093902%1.1%101410.939812%0.939812%0.9%47420.878402%0.878402%0.9%102430.845604%0.845604%0.8%58440.827057%0.827057%0.8%56450.825551%0.825551%0.8%61460.621118%0.621118%0.6%28470.599161%0.599161%0.6%30480.425786%0.425786%0.4%50490.120731%0.120731%0.1%750
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#50

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 Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
Female
Male
6x4x2x0x2xFM#BerlinPlainSciotoGrandview HtsJeffersonHarrisonPike TownshipConcordJeffersonFallsLibertyJeromeEtna TownshipFranklinUnionWhitehallDelaware CityHeathLondonPrairieLancaster CityMidwestEast North CentralMadisonHamiltonCirclevilleUnited StatesOhioColumbus AreaPataskalaFranklinColumbusColumbusNewarkJacksonMifflinNorwichPleasantGenoaLibertyBexleyMonroeWestervilleBlendonUpper ArlingtonHarrisonBloomOrangeDublinTruroColumbusSharonWalnutVioletParisWesterville CityGranville-1.000000x-1.000000x3.534140x3.534140x3.53x1.220%1.22%4.310%4.31%1-1.000000x-1.000000x2.629883x2.629883x2.63x1.352%1.35%3.556%3.56%2-1.000000x-1.000000x2.609615x2.609615x2.61x9.040%9.04%23.590%23.6%3-1.000000x-1.000000x2.304788x2.304788x2.30x0.433%0.43%0.998%1.00%4-1.000000x-1.000000x2.116996x2.116996x2.12x1.925%1.92%4.074%4.07%5-1.000000x-1.000000x1.786905x1.786905x1.79x7.497%7.50%13.397%13.4%6-1.000000x-1.000000x1.742201x1.742201x1.74x14.389%14.4%25.069%25.1%7-1.000000x-1.000000x1.714595x1.714595x1.71x1.965%1.96%3.369%3.37%8-1.000000x-1.000000x1.507670x1.507670x1.51x9.251%9.25%13.947%13.9%9-1.000000x-1.000000x1.390745x1.390745x1.39x10.820%10.8%15.048%15.0%10-1.000000x-1.000000x1.376228x1.376228x1.38x5.385%5.38%7.410%7.41%11-1.000000x-1.000000x1.340740x1.340740x1.34x1.846%1.85%2.475%2.48%12-1.000000x-1.000000x1.335507x1.335507x1.34x6.236%6.24%8.328%8.33%13-1.000000x-1.000000x1.325542x1.325542x1.33x21.302%21.3%28.237%28.2%14-1.000000x-1.000000x1.310877x1.310877x1.31x11.876%11.9%15.568%15.6%15-1.000000x-1.000000x1.273148x1.273148x1.27x17.097%17.1%21.767%21.8%16-1.000000x-1.000000x1.236558x1.236558x1.24x5.780%5.78%7.147%7.15%17-1.000000x-1.000000x1.215459x1.215459x1.22x9.732%9.73%11.829%11.8%18-1.000000x-1.000000x1.184141x1.184141x1.18x12.791%12.8%15.147%15.1%19-1.000000x-1.000000x1.155189x1.155189x1.16x12.502%12.5%14.442%14.4%20-1.000000x-1.000000x1.144160x1.144160x1.14x11.593%11.6%13.265%13.3%21-1.000000x-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-1.000000x1.121607x1.121607x1.12x7.715%7.72%8.654%8.65%22-1.000000x-1.000000x1.118404x1.118404x1.12x15.081%15.1%16.867%16.9%23-1.000000x-1.000000x1.114300x1.114300x1.11x14.797%14.8%16.488%16.5%24-1.000000x-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%-1.000000x-1.000000x1.079320x1.079320x1.08x7.269%7.27%7.845%7.85%25-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%26-1.000000x-1.000000x1.050970x1.050970x1.05x10.959%11.0%11.517%11.5%-1.000000x-1.000000x1.036562x1.036562x1.04x12.733%12.7%13.198%13.2%27-1.000000x-1.000000x1.025236x1.025236x1.03x6.405%6.41%6.567%6.57%28-1.053306x-1.053306x1.05x1.000000x1.000000x5.733%5.73%5.442%5.44%29-1.057578x-1.057578x1.06x1.000000x1.000000x3.463%3.46%3.274%3.27%30-1.063491x-1.063491x1.06x1.000000x1.000000x13.412%13.4%12.612%12.6%31-1.064171x-1.064171x1.06x1.000000x1.000000x1.430%1.43%1.344%1.34%32-1.069669x-1.069669x1.07x1.000000x1.000000x1.786%1.79%1.670%1.67%33-1.073251x-1.073251x1.07x1.000000x1.000000x2.308%2.31%2.151%2.15%34-1.086161x-1.086161x1.09x1.000000x1.000000x10.956%11.0%10.086%10.1%35-1.099069x-1.099069x1.10x1.000000x1.000000x3.830%3.83%3.485%3.48%36-1.159243x-1.159243x1.16x1.000000x1.000000x8.950%8.95%7.720%7.72%37-1.283067x-1.283067x1.28x1.000000x1.000000x1.500%1.50%1.169%1.17%38-1.294968x-1.294968x1.29x1.000000x1.000000x6.211%6.21%4.797%4.80%39-1.306893x-1.306893x1.31x1.000000x1.000000x4.213%4.21%3.224%3.22%40-1.310439x-1.310439x1.31x1.000000x1.000000x1.935%1.93%1.476%1.48%41-1.385029x-1.385029x1.39x1.000000x1.000000x2.028%2.03%1.464%1.46%42-1.414047x-1.414047x1.41x1.000000x1.000000x8.025%8.03%5.675%5.68%43-1.455501x-1.455501x1.46x1.000000x1.000000x7.866%7.87%5.404%5.40%44-1.481750x-1.481750x1.48x1.000000x1.000000x2.283%2.28%1.540%1.54%45-1.494722x-1.494722x1.49x1.000000x1.000000x13.851%13.9%9.267%9.27%46-1.798212x-1.798212x1.80x1.000000x1.000000x5.036%5.04%2.800%2.80%47-2.016419x-2.016419x2.02x1.000000x1.000000x12.927%12.9%6.411%6.41%48-2.172632x-2.172632x2.17x1.000000x1.000000x3.024%3.02%1.392%1.39%49-7.570273x-7.570273x7.57x1.000000x1.000000x2.883%2.88%0.381%0.38%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#51

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 Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
Female
Male
0x5x10xFM#FallsLondonHamiltonJeffersonPike TownshipPleasantLibertyCirclevilleColumbusDelaware CityLancaster CityWestervilleBloomSharonHarrisonHeathWalnutHarrisonLibertyMifflinNewarkJeromeConcordGranvillePlainDublinFranklinUpper ArlingtonNorwichTruroOhioBexleyJeffersonEast North CentralMidwestMadisonFranklinColumbus AreaUnited StatesEtna TownshipBlendonColumbusBerlinColumbusOrangeJacksonGrandview HtsVioletGenoaPrairieMonroeParisWesterville CityPataskalaUnionWhitehallScioto-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.367%2.37%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.830%1.83%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.247%0.25%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.227%1.23%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.293%1.29%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.906%1.91%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.220%0.22%2.347%2.35%7-1.000000x-1.000000x4.574814x4.574814x4.57x0.400%0.40%1.830%1.83%8-1.000000x-1.000000x3.824499x3.824499x3.82x0.573%0.57%2.190%2.19%9-1.000000x-1.000000x2.782910x2.782910x2.78x1.613%1.61%4.490%4.49%10-1.000000x-1.000000x2.442537x2.442537x2.44x0.692%0.69%1.690%1.69%11-1.000000x-1.000000x2.420464x2.420464x2.42x3.120%3.12%7.551%7.55%12-1.000000x-1.000000x2.407434x2.407434x2.41x1.517%1.52%3.651%3.65%13-1.000000x-1.000000x2.352477x2.352477x2.35x6.431%6.43%15.129%15.1%14-1.000000x-1.000000x2.344320x2.344320x2.34x1.401%1.40%3.284%3.28%15-1.000000x-1.000000x2.253443x2.253443x2.25x0.733%0.73%1.652%1.65%16-1.000000x-1.000000x2.251208x2.251208x2.25x1.014%1.01%2.284%2.28%17-1.000000x-1.000000x2.203299x2.203299x2.20x0.721%0.72%1.588%1.59%18-1.000000x-1.000000x2.163540x2.163540x2.16x5.691%5.69%12.313%12.3%19-1.000000x-1.000000x2.069018x2.069018x2.07x2.252%2.25%4.660%4.66%20-1.000000x-1.000000x1.967904x1.967904x1.97x0.822%0.82%1.618%1.62%21-1.000000x-1.000000x1.911908x1.911908x1.91x5.617%5.62%10.739%10.7%22-1.000000x-1.000000x1.876463x1.876463x1.88x5.109%5.11%9.587%9.59%23-1.000000x-1.000000x1.849712x1.849712x1.85x9.285%9.28%17.174%17.2%24-1.000000x-1.000000x1.848477x1.848477x1.85x10.213%10.2%18.878%18.9%25-1.000000x-1.000000x1.832511x1.832511x1.83x7.149%7.15%13.100%13.1%26-1.000000x-1.000000x1.821032x1.821032x1.82x0.581%0.58%1.057%1.06%27-1.000000x-1.000000x1.802942x1.802942x1.80x12.297%12.3%22.171%22.2%28-1.000000x-1.000000x1.734085x1.734085x1.73x4.889%4.89%8.478%8.48%29-1.000000x-1.000000x1.688068x1.688068x1.69x1.599%1.60%2.699%2.70%30-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.622554x1.622554x1.62x11.419%11.4%18.528%18.5%31-1.000000x-1.000000x1.599641x1.599641x1.60x6.082%6.08%9.728%9.73%32-1.000000x-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-1.000000x1.576121x1.576121x1.58x1.610%1.61%2.537%2.54%33-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.457364x1.457364x1.46x3.489%3.49%5.085%5.09%34-1.000000x-1.000000x1.449489x1.449489x1.45x3.282%3.28%4.757%4.76%35-1.000000x-1.000000x1.429727x1.429727x1.43x2.780%2.78%3.974%3.97%-1.000000x-1.000000x1.429540x1.429540x1.43x2.575%2.57%3.680%3.68%36-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%37-1.000000x-1.000000x1.412405x1.412405x1.41x5.901%5.90%8.334%8.33%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.232696x1.232696x1.23x12.274%12.3%15.131%15.1%40-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%41-1.000000x-1.000000x1.125108x1.125108x1.13x5.111%5.11%5.751%5.75%42-1.004340x-1.004340x1.00x1.000000x1.000000x0.880%0.88%0.876%0.88%43-1.020828x-1.020828x1.02x1.000000x1.000000x2.059%2.06%2.017%2.02%44-1.182723x-1.182723x1.18x1.000000x1.000000x2.307%2.31%1.950%1.95%45-1.269877x-1.269877x1.27x1.000000x1.000000x5.517%5.52%4.345%4.34%46-1.270588x-1.270588x1.27x1.000000x1.000000x1.928%1.93%1.518%1.52%47-1.311831x-1.311831x1.31x1.000000x1.000000x2.651%2.65%2.021%2.02%48-1.806191x-1.806191x1.81x1.000000x1.000000x0.542%0.54%0.300%0.30%49-2.735243x-2.735243x2.74x1.000000x1.000000x1.507%1.51%0.551%0.55%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Ohio

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

No H.S. Diploma by County Subdivision#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbus, selected other county subdivisions in Ohio, and entities that contain Columbus
0%5%10%15%20%Count#ClevelandMiddletownLorainYoungstownSpringfieldDaytonMansfieldLimaMarion TownshipMarionCantonHamiltonWarrenToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkBath TownshipLancaster City TownshipLancaster CityColumbusColumbusColerain TownshipColerainEast North CentralEuclidOhioMidwestParmaFranklin CountyFranklinColumbus Metro AreaColumbus AreaFindlayFairfieldMiami 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%60,83160.8k2011.226988%11.226988%11.2%61,30861.3k10.847918%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%5,683239.640656%9.640656%9.6%78,29978.3k9.314501%9.314501%9.3%123,226123k9.003845%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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbus, selected other county subdivisions in Ohio, and entities that contain Columbus
0%20%40%60%Count#DublinDeerfield TownshipDeerfieldAnderson TownshipAndersonWashington TownshipWashingtonBeavercreek TownshipBeavercreekCleveland HeightsCleveland HtsLiberty TownshipLibertyWest Chester TownshipW ChesterSylvania TownshipSylvaniaStrongsvilleMifflin TownshipMifflinViolet TownshipVioletLakewoodMiami TownshipMiamiJackson TownshipJacksonFranklin CountyFranklinColumbusColumbus Metro AreaColumbus AreaColumbusCincinnatiKetteringPlain 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%12,09212.1k1538.352941%38.352941%38.4%311,493311k34.813955%34.813955%34.8%190,111190k34.785494%34.785494%34.8%460,194460k34.685843%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#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbus, selected other county subdivisions in Ohio, and entities that contain Columbus
0%2%4%6%8%10%Count#Cleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleFranklin CountyFranklinDeerfield TownshipDeerfieldWest Chester TownshipW ChesterKetteringColumbus Metro AreaColumbus AreaLiberty TownshipLibertyMifflin TownshipMifflinColumbusColumbusUnited 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%1,471104.335519%4.335519%4.3%35,21235.2k4.149830%4.149830%4.1%1,027114.100659%4.100659%4.1%1,711123.778338%3.778338%3.8%1,485133.620928%3.620928%3.6%47,90347.9k3.514938%3.514938%3.5%800143.389898%3.389898%3.4%853153.357865%3.357865%3.4%17,95418.0k163.353556%3.353556%3.4%18,31318.3k3.336158%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#55

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 Columbus, selected other county subdivisions in Ohio, and entities that contain Columbus
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsBeavercreekUnionToledoFindlayLorainMarionYoungstownColerainGrnFairfieldElyriaMiddletownLancaster CityMidwestEast North CentralSpringfieldWarrenDaytonCantonUnited StatesOhioColumbus AreaLimaParmaFranklinColumbusColumbusClevelandDeerfieldMentorNewarkW 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-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-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-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.050970x1.050970x1.05x10.959%11.0%11.517%11.5%-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#56

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 Columbus, selected other county subdivisions in Ohio, and entities that contain Columbus
Female
Male
1x0x1x2x3xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringMifflinPlainBeavercreekDeerfieldDaytonNewarkEuclidMiamiAkronDublinSylvaniaStrongsvilleBath TownshipOhioFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestFranklinColumbus AreaWarrenUnited StatesLibertyParmaColumbusCleveland 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-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-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-1.000000x1.429727x1.429727x1.43x2.780%2.78%3.974%3.97%-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 County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares Columbus to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Columbus. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthOhioMidwestLawrence TownshipLawrenceSioux FallsFranklin CountyFranklinColumbus Metro AreaColumbus AreaCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.226988%11.226988%11.2%61,30861.3k11.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.514146%10.514146%10.5%825,155825k10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.640656%9.640656%9.6%78,29978.3k9.314501%9.314501%9.3%123,226123k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFranklin CountyFranklinFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusColumbus Metro AreaColumbus AreaColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldOhioProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.352941%38.352941%38.4%311,493311k38.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.813955%34.813955%34.8%190,111190k34.785494%34.785494%34.8%460,194460k34.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.667466%26.667466%26.7%2,092,8752.09M26.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoFranklin CountyFranklinCapital TownshipCapitalOmahaMaine TownshipMaineColumbus Metro AreaColumbus AreaPalatine TownshipPalatineWheeling TownshipWheelingColumbusColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheOhioCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.335519%4.335519%4.3%35,21235.2k4.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.620928%3.620928%3.6%47,90347.9k3.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.353556%3.353556%3.4%18,31318.3k3.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.683241%2.683241%2.7%210,582211k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#60

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 Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioColumbus AreaWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaFranklinColumbusColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.050970x1.050970x1.05x10.959%11.0%11.517%11.5%-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#61

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 Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOhioOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityFranklinColumbus AreaAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.429727x1.429727x1.43x2.780%2.78%3.974%3.97%-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares Columbus to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Columbus. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaColumbusEast North CentralOhioSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonFranklin CountyFranklinAtlantaColumbus Metro AreaColumbus AreaSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4111.226988%11.226988%11.2%61,30861.3k10.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.640656%9.640656%9.6%78,29978.3k9.538552%9.538552%9.5%37,37337.4k469.314501%9.314501%9.3%123,226123k8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantFranklin CountyFranklinNorthwest HarrisNW HarrisChicagoColumbusColumbus Metro AreaColumbus AreaColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioOhioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1538.352941%38.352941%38.4%311,493311k36.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.813955%34.813955%34.8%190,111190k34.785494%34.785494%34.8%460,194460k34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.667466%26.667466%26.7%2,092,8752.09M26.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadFranklin CountyFranklinTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaColumbus Metro AreaColumbus AreaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensOhioNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.335519%4.335519%4.3%35,21235.2k4.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.620928%3.620928%3.6%47,90347.9k3.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.353556%3.353556%3.4%18,31318.3k3.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.683241%2.683241%2.7%210,582211k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#65

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 Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
Female
Male
1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesOhioColumbus AreaNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonFranklinSacramentoColumbusSalt Lk CityColumbusDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.104385x1.104385x1.10x8.867%8.87%9.793%9.79%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.050970x1.050970x1.05x10.959%11.0%11.517%11.5%-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#66

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 Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOhioOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasFranklinColumbus AreaSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyColumbusHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%-1.000000x-1.000000x1.567060x1.567060x1.57x2.842%2.84%4.454%4.45%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.429727x1.429727x1.43x2.780%2.78%3.974%3.97%-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

Income

Education

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State:
Ohio
County:
Franklin
Metro Area:
Columbus Area
Cities:
Canal Winchester, Columbus
ZIP Codes:
43002, 43004, 43016, 43017, 43026, 43054, 43065, 43068, 43081, 43085, 43109, 43110, 43119, 43123, 43125, 43137, 43146, 43201, 43202, 43203, 43204, 43205, 43206, 43207, 43209, 43210, 43211, 43212, 43213, 43214, 43215, 43217, 43219, 43220, 43221, 43222, 43223, 43224, 43227, 43228, 43229, 43230, 43231, 43232, 43235
Unified School Districts:
Canal Winchester, Columbus, Dublin, Gahanna-Jefferson, Groveport Madison, Hamilton, Hilliard, Licking Heights, New Albany-Plain, Olentangy, Pickerington, Reynoldsburg, South-Western, Upper Arlington, Westerville, Worthington
Neighborhoods:
Abby Trails, Albany Commons, Alum Crest Acres, Amercrest, Antrim, Appian, Argyle Park, Arlington Park, Beechwood, Berwick, Blendon Woods, Blendon Woods Metro Park, Bluff View, Brandywine, Brentnell, Brentwood Park, Brewery District (including Whittier Peninsula), Brice, Bridgeview, Brittany Hills, Broadleigh, Brookhollow, Brookshire, Brookside Colony, Brookside Village, Brookside Woods, Busch, Central Clintonville, Central College, Central Hilltop, Cherry Creek, Clintonville, Cobleton, Coppertree, Cranbrook, Cross Creek, Crosswoods, Crown Ridge, Cumberland Ridge, Deer Creek, Dennison Place, Deshler Park, Devon Triangle, Devonshire, Dexter Falls, Don Scott, Downtown, Driving Park, East, East Beechwold, East Broad, East Columbus, East Linden, Eastgate, Eastland, Eastmoor, Easton, Edgewood, Fairgrounds, Flint Road, Fodor, Forest Park East, Forest Park West, Foxboro, Framingham, Franklin Park, Franklinton, Galloway Ridge, Gateway, Georgian Heights, German Village Commission, Glen Echo, Glenbrook, Glenmeadows, Golfview Woods, Gould Park, Governours Square, Grandview South, Greenbriar Farm, Greenhill Acres, Harrison West, Hayden Falls, Henderson Heights, Hickory Bluff Farms, Highpoint-Glen, Hilliard Green, Hilltop, Hilltop 2, Hilltop 3, Hilltop 4, Holly Hill, Hungarian Village, Hyde Park, Independence Village, Indian Hills, Indian Springs, Indiana Forest, Indianola Terrace, Industrial Site, Innis Garden Village, Italian Village, Iuka Ravine, Kendale, King-Lincoln-Bronzeville, Knolls West, Knolls-Thomas, Laurel Greene, Leawood, Linwood, Linworth Village, Little Turtle, Livingston - McNaughten, Livingston Park North, Madison Mills, Maize-Morse, Marble Cliff Crossing, Marion Franklin, Merion Village, Milbrook, Mill Run, Milo-Grogan, Misty Meadows, Mount Vernon, Necko, North Campus, North Franklinton, North Hilltop, North Linden, North Rickenbacker, Northbridge, Northcrest, Northern Woods, Northgate, Northmoor, Northwoods, Old Beechwold, Old North Columbus, Olde Orchard, Olde Sawmill, Olde Town East, Olentangy Commons, Olentangy High Bluffs, Olentangy Highlands, Oriole Park, Park Club, Parkview, Pine Hills, Polaris South, Port Columbus International Airport, Preserve North, Preserve South, Preston Commons, Reeb-Hosack, Riverbend, Riverplace, Riverside, Riverview, Salem Village, Sawmill Forest, Sawmill Ravines, Schirm Farm, Schumacher Place, Scioto Trace, Scioto Woods, Seven Oaks, Shady Lane, Shannon Green, Shannon Heights, Sharon Heights, Shepard, Slate Hill, Smokey Ridge Estates, Somerset, South Central Hilltop, South Franklinton, South Hilltop, South Linden, South London, South Side CAN, South of Main, Southeast, Southern Orchards, Southside, Southwest, Southwest Airport, Southwest Hilltop, Springbourne, St. Mary's, Stambaugh-Elwood, Stilson, Stilson East, Strawberry Farms, Summerwood, Summit View Forest, Summit View Woods, Sweetwater, Sycamore Hills, Teakwood, The Gables, The Ohio State University, Three Corners, Three Rivers, Trabue Woods, Tri-Village, Trouville, Tuttle, Tuttle West, Valleyview Heights, Vasser Village (Lincoln Park), Victorian Village, Village at Worthington, Walnut Creek, Walnut Heights, Walnut Hills, Weinland Park, West Albany, West Campus, West London, Westbelt, Westbend, Westbrook, Westbrooke-Heritage, Westchester-Green Countrie, Western Hills, Westgate, Westside 1, Westside 2, Westside 3, Westworth Village, Wexford-Thornapple, Wexmoor, Whetstone, White Ash, Williams Creek, Winchester, Wolfe Park, Wood Bridge Green, Woodland Holt, Woodland Park, Woods of Josephinium, Woodstream, Woodward Park, Worthington Crossing, Worthington Green, Worthington Highlands, Worthington Hills, Worthington Park, Worthington Village North, Worthington Woods, Worthingview
Congressional Districts:
OH-3, OH-12, OH-15
State Senate Districts:
OH-3, OH-15, OH-16, OH-19
State House Districts:
OH-17, OH-18, OH-19, OH-20, OH-21, OH-22, OH-23, OH-24, OH-25, OH-26
Neighboring Townships:
Blendon, Brown, Canaan, Clinton, Columbus City, Franklin, Hamilton, Jackson, Jefferson, Liberty, Madison, Mifflin, Norwich, Orange, Perry, Plain, Pleasant, Prairie, Reynoldsburg City, Sharon, Truro, Violet, Washington, Westerville City
Nearby Townships:
Etna, Genoa, Harlem, Harrison, Jerome, Jersey, Madison, Scioto, Washington