Educational Attainment in the Ohio Township, Sedgwick County, Kansas (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Sedgwick County and the Ohio Township
Ohio Township
Sedgwick County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma240.773158%37.343287%40.773158%40.8%55950.109409%51.639709%50.109409%50.1%6879.117433%11.017004%9.117433%9.1%125
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 Sedgwick County at large.
Scope: population of Sedgwick County and the Ohio Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma29.184707%9.184707%+9.2%40.773%40.8%37.343%37.3%-2.963418%-2.963418%-3.0%50.109%50.1%51.640%51.6%-17.242177%-17.242177%-17.2%9.117%9.12%11.017%11.0%
% percentage with given level in the Ohio Township
ref. percentage with given level in Sedgwick 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 Sedgwick County and the Ohio Township
Ohio Township
Sedgwick County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.891818%00.000000%0.000000%0.0%1.495784%011.743253%7.702564%11.743253%11.7%16123.048869%19.951154%23.048869%23.0%3165.981036%7.301968%5.981036%6.0%8223.559446%25.041550%23.559446%23.6%32326.549964%26.598160%26.549964%26.5%3647.439825%7.163725%7.439825%7.4%1020.000000%0.000000%0.0%2.834585%01.677608%1.018693%1.677608%1.7%23
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 Sedgwick County at large.
Scope: population of Sedgwick County and the Ohio Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.892%0.89%-100.000000%-100.000000%-100.0%0.000%0%1.496%1.50%52.459021%52.459021%+52.5%11.743%11.7%7.703%7.70%15.526496%15.526496%+15.5%23.049%23.0%19.951%20.0%-18.090082%-18.090082%-18.1%5.981%5.98%7.302%7.30%-5.918579%-5.918579%-5.9%23.559%23.6%25.042%25.0%-0.181202%-0.181202%-0.2%26.550%26.5%26.598%26.6%3.854137%3.854137%+3.9%7.440%7.44%7.164%7.16%-100.000000%-100.000000%-100.0%0.000%0%2.835%2.83%64.682278%64.682278%+64.7%1.678%1.68%1.019%1.02%
% percentage with given level in the Ohio Township
ref. percentage with given level in Sedgwick 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 Sedgwick County and the Ohio Township
More Females More Males
Sedgwick County
Ohio Township
30%20%10%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-3.644008%0.407354%0.407354%0%40.694%40.7%40.860%40.9%4.646153%1.195961%4.646153%5%49.028%49.0%51.306%51.3%-31.192810%-31.192810%31%6.765624%10.278%10.3%7.834%7.83%
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 Sedgwick County and the Ohio Township
More Females More Males
Sedgwick County
Ohio Township
1,000%500%0%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3None-182.841880%-25.231975%-182.841880%183%16.944%16.9%5.991%5.99%182.089784%2.851897%182.089784%182%12.361%12.4%34.869%34.9%-1,000.000000%-24.639831%-1,000.000000%> 1000%11.389%11.4%0.000%0%-1.718750%-1.718750%2%3.690451%23.750%23.8%23.349%23.3%-1.111170%10.599078%10.599078%11%25.278%25.3%27.957%28.0%10.599078%13.912861%10.599078%11%7.083%7.08%7.834%7.83%-1,000.000000%-4.067481%-1,000.000000%> 1000%3.194%3.19%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Sedgwick County and the Ohio Township
Ohio Township
Sedgwick County
0%10%20%30%40%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%15.031602%023718.057922%19.452066%18.057922%18.1%10658743.909348%22.003888%43.909348%43.9%15535328.350515%23.488648%28.350515%28.4%55194
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 Sedgwick County at large.
Scope: population of Sedgwick County and the Ohio Township
100%50%0%50%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%15.032%15.0%-7.167074%-7.167074%7.2%18.058%18.1%19.452%19.5%99.552685%99.552685%99.6%43.909%43.9%22.004%22.0%20.698798%20.698798%20.7%28.351%28.4%23.489%23.5%
% percentage in the Ohio Township with a Bachelor's degree
ref percentage in Sedgwick 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 Sedgwick County and the Ohio Township
More Females More Males
Sedgwick County
Ohio Township
0%500%1,000%FM45-6435-4425-34485.934249%6.558825%485.934249%485.9%5.625%5.63%32.959%33.0%-13.575191%46.015333%46.015333%46.0%36.410%36.4%53.165%53.2%-24.474890%1,000.000000%1,000.000000%> 1000%0.000%0%47.009%47.0%
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 Sedgwick County and the Ohio Township
Ohio Township
Sedgwick County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeH.S. Diploma2Total$71,172.000000$56,765.000000$71,172.000000$71.2k16111.743%11.7%$76,847.000000$46,843.000000$76,847.000000$76.8k31623.049%23.0%$31,328.000000$28,547.000000$31,328.000000$31.3k36426.550%26.5%$42,379.000000$36,084.000000$42,379.000000$42.4k1,371100.000%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 Sedgwick County and the Ohio Township
Female Male
Sedgwick County
Ohio Township
Shaded bar tips show excess over facing bar.
$0k$50kFMBachelor's DegreeSome CollegeTotal$-31,472.000000$-37,037.000000$-31,472.000000$31.5k$31,472.000000$55,270.000000$37,037.000000$23,705.000000$86,742.000000$86.7k89227$-26,003.000000$-26,996.000000$-26,003.000000$26.0k$26,003.000000$33,858.000000$26,996.000000$14,452.000000$59,861.000000$59.9k253152$-30,167.000000$-28,790.000000$-30,167.000000$30.2k$30,167.000000$37,901.000000$28,790.000000$14,924.000000$68,068.000000$68.1k720651
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Sedgwick County and the Ohio Township
Ohio Township
Sedgwick County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma376.600442%84.495886%76.600442%76.6%34780.845070%77.075752%80.845070%80.8%28774.273859%69.273101%74.273859%74.3%17960.000000%61.359511%60.000000%60.0%51
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Sedgwick County and the Ohio Township
Female Male
Sedgwick County
Ohio Township
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%6%MFWhite1-7.589286%-6.309947%-7.589286%7.6%7.589286%0.379464%6.309947%0.418560%7.968750%8.0%5151
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Sedgwick County and the Ohio Township
Female Male
Sedgwick County
Ohio Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1-31.398810%-33.429937%-31.398810%31.4%31.398810%8.444940%33.429937%1.028482%39.843750%39.8%255211
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Wichita Area

There are 133 county subdivisions in the Wichita Area. This section compares the Ohio Township to the 50 most populous county subdivisions in the Wichita Area and to those entities that contain or substantially overlap with the Ohio Township. The least populous of the compared county subdivisions has a population of 929.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ohio Township, selected other county subdivisions in the Wichita Area, and entities that contain the Ohio Township
0%5%10%15%20%Count#Prospect TownshipProspectUnited States of AmericaUnited StatesWichitaLittle Walnut TownshipLittle WalnutKingmanConway TownshipConwaySedgwick CountySedgwickNewton009700Tract 009700Riverside TownshipRiversideWichita Metro AreaWichita AreaMidwestAugustaHalsteadKansasAttica TownshipAtticaWellingtonEagle TownshipEagleMilton TownshipMiltonWest North CentralOhio TownshipSalem TownshipSalemKechi TownshipKechiIllinois TownshipIllinoisEl DoradoDouglass TownshipDouglassCaldwellValley Center TownshipVly CtrPark TownshipGreeley TownshipGreeleyGore TownshipRichland TownshipRichlandBelle Plaine TownshipBelle PlaineWaco TownshipSedgwick TownshipSedgwickBurrton TownshipBurrtonNewton TownshipNewtonEmma TownshipNinnescah TownshipNinnescahMorton TownshipMortonGypsum TownshipGypsumOxford TownshipOxfordPleasant TownshipPleasantGarden Plain TownshipGdn PlainTowanda TownshipTowandaSpring TownshipSpgBruno TownshipBrunoAugusta TownshipAugustaPayne TownshipPayneRockford TownshipRockfordAfton TownshipAftonGrant TownshipGrantMinneha TownshipMinnehaSherman TownshipShermanUnion TownshipUnionBenton TownshipBentonBel Aire22.504990%22.504990%22.5%451113.020590%13.020590%13.0%27,818,38027.8M12.568464%12.568464%12.6%31,23131.2k211.954993%11.954993%12.0%85311.852861%11.852861%11.9%261411.059908%11.059908%11.1%96511.017004%11.017004%11.0%35,86235.9k10.761381%10.761381%10.8%1,371610.592460%10.592460%10.6%47210.505186%10.505186%10.5%942710.404141%10.404141%10.4%42,95143.0k10.244520%10.244520%10.2%4,641,8354.64M10.146444%10.146444%10.1%58289.977324%9.977324%10.0%13299.691216%9.691216%9.7%182,049182k9.598433%9.598433%9.6%392109.444135%9.444135%9.4%508119.355247%9.355247%9.4%74129.244992%9.244992%9.2%60139.174633%9.174633%9.2%1,278,0511.28M9.117433%9.117433%9.1%125148.603845%8.603845%8.6%546158.502773%8.502773%8.5%506168.458961%8.458961%8.5%101178.221457%8.221457%8.2%692187.858546%7.858546%7.9%120197.750000%7.750000%7.8%62207.589880%7.589880%7.6%228217.529813%7.529813%7.5%221227.331378%7.331378%7.3%50237.168204%7.168204%7.2%101247.116883%7.116883%7.1%137257.035647%7.035647%7.0%150266.698565%6.698565%6.7%42276.611570%6.611570%6.6%72286.027397%6.027397%6.0%44295.829285%5.829285%5.8%84305.659099%5.659099%5.7%167315.615454%5.615454%5.6%125325.555556%5.555556%5.6%99335.417892%5.417892%5.4%258344.413473%4.413473%4.4%38354.135894%4.135894%4.1%140364.056795%4.056795%4.1%40374.052288%4.052288%4.1%62383.890641%3.890641%3.9%37393.841537%3.841537%3.8%352403.674280%3.674280%3.7%37413.474903%3.474903%3.5%27423.398651%3.398651%3.4%529432.891791%2.891791%2.9%31442.746212%2.746212%2.7%87452.362205%2.362205%2.4%60461.907969%1.907969%1.9%17471.893171%1.893171%1.9%28481.646904%1.646904%1.6%25491.585994%1.585994%1.6%7750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ohio Township, selected other county subdivisions in the Wichita Area, and entities that contain the Ohio Township
0%20%40%60%Count#Minneha TownshipMinnehaBel AirePayne TownshipPayneBruno TownshipBrunoGrant TownshipGrantAfton TownshipAftonNewton TownshipNewtonEmma TownshipRockford TownshipRockfordMilton TownshipMiltonBenton TownshipBentonAttica TownshipAtticaValley Center TownshipVly CtrSherman TownshipShermanOhio TownshipUnion TownshipUnionGypsum TownshipGypsumPleasant TownshipPleasantNinnescah TownshipNinnescahKansasGarden Plain TownshipGdn PlainUnited States of AmericaUnited StatesAugusta TownshipAugustaWest North CentralSedgwick CountySedgwickMorton TownshipMortonWichita Metro AreaWichita AreaMidwestWichitaRichland TownshipRichlandKechi TownshipKechiPark TownshipSpring TownshipSpgTowanda TownshipTowandaIllinois TownshipIllinoisOxford TownshipOxfordNewtonAugustaHalsteadWaco TownshipSedgwick TownshipSedgwickEl DoradoGore TownshipDouglass TownshipDouglassBurrton TownshipBurrtonGreeley TownshipGreeleyConway TownshipConwayRiverside TownshipRiversideKingmanWellingtonEagle TownshipEagle009700Tract 009700CaldwellBelle Plaine TownshipBelle PlaineLittle Walnut TownshipLittle WalnutSalem TownshipSalemProspect TownshipProspect66.574803%66.574803%66.6%1,691155.756952%55.756952%55.8%2,707246.718147%46.718147%46.7%363343.599258%43.599258%43.6%3,995443.276515%43.276515%43.3%1,371542.817164%42.817164%42.8%459642.609299%42.609299%42.6%614742.053541%42.053541%42.1%1,241841.336332%41.336332%41.3%6,434938.828968%38.828968%38.8%2521038.669302%38.669302%38.7%5871136.263467%36.263467%36.3%1,4811235.785619%35.785619%35.8%1,0751334.792368%34.792368%34.8%3101434.792123%34.792123%34.8%4771533.806626%33.806626%33.8%5001633.536329%33.536329%33.5%1,5971733.500739%33.500739%33.5%1,1341832.030548%32.030548%32.0%7131931.610465%31.610465%31.6%593,801594k31.541582%31.541582%31.5%3112030.315023%30.315023%30.3%64,767,78764.8M30.089374%30.089374%30.1%3032130.056536%30.056536%30.1%4,186,9564.19M30.041319%30.041319%30.0%97,78997.8k29.461279%29.461279%29.5%5252229.268021%29.268021%29.3%120,826121k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k2327.220779%27.220779%27.2%5242427.188708%27.188708%27.2%1,6182527.018739%27.018739%27.0%7932626.813880%26.813880%26.8%2552726.274510%26.274510%26.3%4022825.209380%25.209380%25.2%3012924.854820%24.854820%24.9%2143024.513344%24.513344%24.5%3,1233122.960251%22.960251%23.0%1,3173222.902494%22.902494%22.9%3033322.328549%22.328549%22.3%1403421.854913%21.854913%21.9%2383521.527860%21.527860%21.5%1,8123621.149752%21.149752%21.1%2983720.825147%20.825147%20.8%3183820.684932%20.684932%20.7%1513920.674487%20.674487%20.7%1414019.930876%19.930876%19.9%1734119.348723%19.348723%19.3%1,7354218.846503%18.846503%18.8%4154318.293363%18.293363%18.3%9844417.951960%17.951960%18.0%1424517.684022%17.684022%17.7%78817.125000%17.125000%17.1%1374615.900563%15.900563%15.9%3394713.783404%13.783404%13.8%984813.063347%13.063347%13.1%829496.387226%6.387226%6.4%12850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ohio Township, selected other county subdivisions in the Wichita Area, and entities that contain the Ohio Township
0%5%10%Count#Minneha TownshipMinnehaNewton TownshipNewtonBel AireBenton TownshipBentonBruno TownshipBrunoUnited States of AmericaUnited StatesHalsteadKansasWest North CentralPayne TownshipPayneMidwestPleasant TownshipPleasantWichitaEmma TownshipSedgwick CountySedgwickWichita Metro AreaWichita AreaWellingtonKechi TownshipKechiGarden Plain TownshipGdn PlainAfton TownshipAftonNewtonMilton TownshipMiltonAttica TownshipAtticaRockford TownshipRockfordGypsum TownshipGypsumRichland TownshipRichlandOxford TownshipOxfordConway TownshipConwayIllinois TownshipIllinoisBurrton TownshipBurrtonGrant TownshipGrantNinnescah TownshipNinnescahRiverside TownshipRiversideValley Center TownshipVly CtrPark TownshipEl DoradoSherman TownshipShermanEagle TownshipEagleGreeley TownshipGreeleyTowanda TownshipTowandaCaldwellSedgwick TownshipSedgwickProspect TownshipProspectUnion TownshipUnionSalem TownshipSalemMorton TownshipMortonBelle Plaine TownshipBelle PlaineKingmanAugusta009700Tract 009700Douglass TownshipDouglassOhio TownshipGore TownshipAugusta TownshipAugustaSpring TownshipSpgLittle Walnut TownshipLittle WalnutWaco Township13.543307%13.543307%13.5%34416.662040%6.662040%6.7%9626.035015%6.035015%6.0%29335.138340%5.138340%5.1%7843.350431%3.350431%3.4%30753.336158%3.336158%3.3%7,127,6737.13M3.099017%3.099017%3.1%4163.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.960103%2.960103%3.0%2372.893416%2.893416%2.9%1,311,0191.31M2.836041%2.836041%2.8%9682.519246%2.519246%2.5%6,26092.507625%2.507625%2.5%74102.387601%2.387601%2.4%7,7722.227815%2.227815%2.2%9,1972.212307%2.212307%2.2%119112.150899%2.150899%2.2%128122.129817%2.129817%2.1%21131.865672%1.865672%1.9%20141.711146%1.711146%1.7%218151.694915%1.694915%1.7%11161.689520%1.689520%1.7%69171.612592%1.612592%1.6%251181.595968%1.595968%1.6%76191.558442%1.558442%1.6%30201.509872%1.509872%1.5%13211.497696%1.497696%1.5%13221.423786%1.423786%1.4%17231.369863%1.369863%1.4%10241.231061%1.231061%1.2%39251.123091%1.123091%1.1%25260.970224%0.970224%1.0%87270.898802%0.898802%0.9%27280.851789%0.851789%0.9%25290.796008%0.796008%0.8%67300.785634%0.785634%0.8%7310.758534%0.758534%0.8%6320.733138%0.733138%0.7%5330.718954%0.718954%0.7%11340.625000%0.625000%0.6%5350.550964%0.550964%0.6%6360.449102%0.449102%0.4%9370.405680%0.405680%0.4%6380.378191%0.378191%0.4%24390.336700%0.336700%0.3%6400.281426%0.281426%0.3%6410.272480%0.272480%0.3%6420.261506%0.261506%0.3%15430.000000%0.000000%0.0%00.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Ohio Township, selected other county subdivisions in the Wichita Area, and entities that contain the Ohio Township
Female
Male
10x5x0x5xFM#ProspectMiltonAugustaTowandaAftonRichlandUnionEagleKechiMinnehaPark TownshipWaco TownshipSalemPleasantTract 009700IllinoisEmma TownshipNinnescahPayneEl DoradoCaldwellVly CtrNewtonWest North CentralKansasAtticaMidwestUnited StatesBurrtonSedgwickWichita AreaWichitaGypsumBrunoSedgwickDouglassNewtonRiversideBentonOxfordGrantOhio TownshipRockfordWellingtonAugustaMortonConwayBelle PlaineGdn PlainLittle WalnutHalsteadShermanSpgGreeleyBel AireKingmanGore Township-1.000000x-1.000000x7.542485x7.542485x7.54x3.590%3.59%27.076%27.1%1-1.000000x-1.000000x4.523715x4.523715x4.52x3.364%3.36%15.217%15.2%2-1.000000x-1.000000x3.312374x3.312374x3.31x1.595%1.59%5.282%5.28%3-1.000000x-1.000000x2.767380x2.767380x2.77x2.174%2.17%6.016%6.02%4-1.000000x-1.000000x2.556404x2.556404x2.56x1.642%1.64%4.198%4.20%5-1.000000x-1.000000x2.281426x2.281426x2.28x4.316%4.32%9.846%9.85%6-1.000000x-1.000000x2.079940x2.079940x2.08x1.226%1.23%2.550%2.55%7-1.000000x-1.000000x1.869642x1.869642x1.87x6.533%6.53%12.214%12.2%8-1.000000x-1.000000x1.701345x1.701345x1.70x6.355%6.36%10.813%10.8%9-1.000000x-1.000000x1.635802x1.635802x1.64x1.811%1.81%2.963%2.96%10-1.000000x-1.000000x1.618563x1.618563x1.62x5.837%5.84%9.448%9.45%11-1.000000x-1.000000x1.592730x1.592730x1.59x5.215%5.21%8.306%8.31%12-1.000000x-1.000000x1.576560x1.576560x1.58x6.708%6.71%10.575%10.6%13-1.000000x-1.000000x1.545708x1.545708x1.55x3.270%3.27%5.055%5.05%14-1.000000x-1.000000x1.490072x1.490072x1.49x8.482%8.48%12.638%12.6%-1.000000x-1.000000x1.489652x1.489652x1.49x6.780%6.78%10.099%10.1%15-1.000000x-1.000000x1.475905x1.475905x1.48x4.632%4.63%6.836%6.84%16-1.000000x-1.000000x1.443711x1.443711x1.44x4.663%4.66%6.732%6.73%17-1.000000x-1.000000x1.418269x1.418269x1.42x2.906%2.91%4.121%4.12%18-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%6.93%9.775%9.78%19-1.000000x-1.000000x1.330337x1.330337x1.33x6.757%6.76%8.989%8.99%20-1.000000x-1.000000x1.313077x1.313077x1.31x6.629%6.63%8.705%8.71%21-1.000000x-1.000000x1.212719x1.212719x1.21x9.765%9.76%11.842%11.8%22-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.134831x1.134831x1.13x9.014%9.01%10.229%10.2%23-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.095238x1.095238x1.10x5.753%5.75%6.301%6.30%24-1.000000x-1.000000x1.067656x1.067656x1.07x10.667%10.7%11.389%11.4%-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%25-1.000000x-1.000000x1.018263x1.018263x1.02x5.370%5.37%5.468%5.47%26-1.021682x-1.021682x1.02x1.000000x1.000000x3.880%3.88%3.798%3.80%27-1.025729x-1.025729x1.03x1.000000x1.000000x6.690%6.69%6.522%6.52%28-1.071161x-1.071161x1.07x1.000000x1.000000x8.115%8.11%7.576%7.58%29-1.072678x-1.072678x1.07x1.000000x1.000000x6.021%6.02%5.613%5.61%30-1.114198x-1.114198x1.11x1.000000x1.000000x11.058%11.1%9.925%9.92%31-1.118362x-1.118362x1.12x1.000000x1.000000x1.733%1.73%1.549%1.55%32-1.174168x-1.174168x1.17x1.000000x1.000000x4.697%4.70%4.000%4.00%33-1.188013x-1.188013x1.19x1.000000x1.000000x2.978%2.98%2.506%2.51%34-1.311928x-1.311928x1.31x1.000000x1.000000x10.278%10.3%7.834%7.83%35-1.345784x-1.345784x1.35x1.000000x1.000000x3.874%3.87%2.879%2.88%36-1.374204x-1.374204x1.37x1.000000x1.000000x10.926%10.9%7.951%7.95%37-1.534357x-1.534357x1.53x1.000000x1.000000x12.019%12.0%7.833%7.83%38-1.765784x-1.765784x1.77x1.000000x1.000000x7.103%7.10%4.022%4.02%39-1.773913x-1.773913x1.77x1.000000x1.000000x13.913%13.9%7.843%7.84%40-2.036969x-2.036969x2.04x1.000000x1.000000x9.613%9.61%4.720%4.72%41-2.125323x-2.125323x2.13x1.000000x1.000000x5.426%5.43%2.553%2.55%42-2.301373x-2.301373x2.30x1.000000x1.000000x16.714%16.7%7.263%7.26%43-2.343750x-2.343750x2.34x1.000000x1.000000x13.228%13.2%5.644%5.64%44-2.619718x-2.619718x2.62x1.000000x1.000000x2.817%2.82%1.075%1.08%45-2.665040x-2.665040x2.67x1.000000x1.000000x5.817%5.82%2.183%2.18%46-3.382912x-3.382912x3.38x1.000000x1.000000x11.175%11.2%3.303%3.30%47-4.217091x-4.217091x4.22x1.000000x1.000000x2.447%2.45%0.580%0.58%48-5.524018x-5.524018x5.52x1.000000x1.000000x18.838%18.8%3.410%3.41%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x14.012%14.0%0.821%0.82%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 Kansas

There are 1,531 county subdivisions in Kansas. This section compares the Ohio Township to the 50 most populous county subdivisions in Kansas and to those entities that contain or substantially overlap with the Ohio Township. The least populous of the compared county subdivisions has a population of 7,732.

No H.S. Diploma by County Subdivision#19

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ohio Township, selected other county subdivisions in Kansas, and entities that contain the Ohio Township
0%10%20%30%Count#LiberalDodge CityGarden CityKansas CityGreat BendCoffeyvilleArkansas CityParsonsHutchinsonEmporiaUnited States of AmericaUnited StatesWichitaChanutePittsburgSalinaTopekaSedgwick CountySedgwickNewton009700Tract 009700Fort ScottLansingRiverside TownshipRiversideIndependenceWichita Metro AreaWichita AreaMidwestJunction CityAugustaOttawaWinfieldKansasWellingtonWest North CentralOhio TownshipLeavenworthSalem TownshipSalemKechi TownshipKechiEl DoradoAtchisonOlatheMerriamHaysShawneeGardnerFairmount TownshipFairmountMcPhersonLawrenceTecumseh TownshipTecumsehLenexaManhattanBruno TownshipBrunoMissionRockford TownshipRockfordOverland ParkMission TownshipMissionMadison TownshipMadisonSoldier TownshipSoldierPrairie VillagePrairie VlgLeawood34.641303%34.641303%34.6%4,061132.097762%32.097762%32.1%5,135228.082803%28.082803%28.1%4,409322.659362%22.659362%22.7%21,21821.2k415.641026%15.641026%15.6%1,586515.171442%15.171442%15.2%969614.949801%14.949801%14.9%1,087714.551455%14.551455%14.6%970813.823602%13.823602%13.8%3,923913.704420%13.704420%13.7%1,9131013.020590%13.020590%13.0%27,818,38027.8M12.568464%12.568464%12.6%31,23131.2k1111.381977%11.381977%11.4%6771211.295872%11.295872%11.3%1,1821311.048593%11.048593%11.0%3,4561411.032803%11.032803%11.0%9,3771511.017004%11.017004%11.0%35,86235.9k10.761381%10.761381%10.8%1,3711610.592460%10.592460%10.6%47210.586383%10.586383%10.6%5381710.514597%10.514597%10.5%8501810.505186%10.505186%10.5%9421910.428082%10.428082%10.4%6092010.404141%10.404141%10.4%42,95143.0k10.244520%10.244520%10.2%4,641,8354.64M10.182349%10.182349%10.2%1,3962110.146444%10.146444%10.1%5822210.071134%10.071134%10.1%807239.929435%9.929435%9.9%788249.691216%9.691216%9.7%182,049182k9.444135%9.444135%9.4%508259.174633%9.174633%9.2%1,278,0511.28M9.117433%9.117433%9.1%1258.617355%8.617355%8.6%2,005268.603845%8.603845%8.6%546278.502773%8.502773%8.5%506288.221457%8.221457%8.2%692297.664294%7.664294%7.7%463306.424130%6.424130%6.4%5,331316.386839%6.386839%6.4%528326.015657%6.015657%6.0%730335.113489%5.113489%5.1%2,174345.078221%5.078221%5.1%620354.979317%4.979317%5.0%325364.929499%4.929499%4.9%444374.814682%4.814682%4.8%2,411384.468530%4.468530%4.5%235394.370740%4.370740%4.4%1,526404.012073%4.012073%4.0%1,090413.841537%3.841537%3.8%352423.518712%3.518712%3.5%236433.398651%3.398651%3.4%529443.377424%3.377424%3.4%4,282452.942916%2.942916%2.9%199462.354874%2.354874%2.4%86472.351807%2.351807%2.4%244481.096310%1.096310%1.1%172490.675882%0.675882%0.7%15550
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#20

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ohio Township, selected other county subdivisions in Kansas, and entities that contain the Ohio Township
0%20%40%60%Count#LeawoodPrairie VillagePrairie VlgOverland ParkLenexaLawrenceMissionManhattanMission TownshipMissionOlatheShawneeBruno TownshipBrunoRockford TownshipRockfordFairmount TownshipFairmountHaysOhio TownshipMerriamGardnerPittsburgSoldier TownshipSoldierKansasLeavenworthUnited States of AmericaUnited StatesWest North CentralSedgwick CountySedgwickTecumseh TownshipTecumsehWichita Metro AreaWichita AreaMcPhersonMidwestWichitaLansingEmporiaKechi TownshipKechiTopekaNewtonAtchisonSalinaAugustaEl DoradoWinfieldFort ScottJunction CityIndependenceOttawaRiverside TownshipRiversideParsonsGarden CityWellingtonHutchinson009700Tract 009700Great BendMadison TownshipMadisonDodge CityArkansas CityKansas CityChanuteCoffeyvilleSalem TownshipSalemLiberal74.085379%74.085379%74.1%16,99017.0k170.080948%70.080948%70.1%10,99511.0k258.823344%58.823344%58.8%74,57874.6k355.353153%55.353153%55.4%19,32619.3k453.552600%53.552600%53.6%26,81726.8k552.273744%52.273744%52.3%3,506652.149588%52.149588%52.1%14,16814.2k749.556344%49.556344%49.6%3,351846.512581%46.512581%46.5%38,59838.6k946.174291%46.174291%46.2%19,63119.6k1043.599258%43.599258%43.6%3,9951141.336332%41.336332%41.3%6,4341237.521066%37.521066%37.5%2,4491337.354759%37.354759%37.4%4,5331434.792123%34.792123%34.8%47734.135720%34.135720%34.1%2,8221533.729216%33.729216%33.7%4,1181633.581804%33.581804%33.6%3,5141732.771084%32.771084%32.8%3,4001831.610465%31.610465%31.6%593,801594k31.370611%31.370611%31.4%7,2991930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.041319%30.041319%30.0%97,78997.8k29.549344%29.549344%29.5%1,5542029.268021%29.268021%29.3%120,826121k29.121794%29.121794%29.1%2,6232128.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k2228.871846%28.871846%28.9%2,3342327.380185%27.380185%27.4%3,8222427.188708%27.188708%27.2%1,6182527.007248%27.007248%27.0%22,95423.0k2624.513344%24.513344%24.5%3,1232723.671578%23.671578%23.7%1,4302823.516624%23.516624%23.5%7,3562922.960251%22.960251%23.0%1,3173021.527860%21.527860%21.5%1,8123121.509577%21.509577%21.5%1,7073221.507281%21.507281%21.5%1,0933321.356674%21.356674%21.4%2,9283420.856164%20.856164%20.9%1,2183520.566579%20.566579%20.6%1,6483619.348723%19.348723%19.3%1,7353718.871887%18.871887%18.9%1,2583818.611465%18.611465%18.6%2,9223918.293363%18.293363%18.3%9844018.171888%18.171888%18.2%5,1574117.684022%17.684022%17.7%78816.982249%16.982249%17.0%1,7224216.730559%16.730559%16.7%6114316.327041%16.327041%16.3%2,6124416.187595%16.187595%16.2%1,1774516.167409%16.167409%16.2%15,13915.1k4616.055817%16.055817%16.1%9554714.044152%14.044152%14.0%8974813.063347%13.063347%13.1%8294911.362279%11.362279%11.4%1,33250
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#21

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ohio Township, selected other county subdivisions in Kansas, and entities that contain the Ohio Township
0%5%10%Count#LeawoodManhattanPrairie VillagePrairie VlgLawrenceMission TownshipMissionOverland ParkLenexaShawneeHaysMissionPittsburgBruno TownshipBrunoUnited States of AmericaUnited StatesTopekaParsonsKansasAtchisonWest North CentralMidwestFairmount TownshipFairmountOlatheSalinaFort ScottWichitaEmporiaSedgwick CountySedgwickMerriamWichita Metro AreaWichita AreaWellingtonKechi TownshipKechiSoldier TownshipSoldierMcPhersonLansingWinfieldTecumseh TownshipTecumsehGreat BendNewtonRockford TownshipRockfordJunction CityOttawaIndependenceLeavenworthChanuteKansas CityGarden CityDodge CityHutchinsonMadison TownshipMadisonRiverside TownshipRiversideGardnerEl DoradoLiberalArkansas CitySalem TownshipSalemCoffeyvilleAugusta009700Tract 009700Ohio Township14.267649%14.267649%14.3%3,272110.228946%10.228946%10.2%2,779210.198228%10.198228%10.2%1,60039.509545%9.509545%9.5%4,76247.068915%7.068915%7.1%47855.940071%5.940071%5.9%7,53165.358882%5.358882%5.4%1,87173.958603%3.958603%4.0%1,68383.765966%3.765966%3.8%45793.503802%3.503802%3.5%235103.373471%3.373471%3.4%353113.350431%3.350431%3.4%307123.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748133.090309%3.090309%3.1%206143.019438%3.019438%3.0%56,72056.7k3.012746%3.012746%3.0%182152.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.849701%2.849701%2.8%186162.830666%2.830666%2.8%2,349172.608696%2.608696%2.6%816182.597403%2.597403%2.6%132192.519246%2.519246%2.5%6,260202.399885%2.399885%2.4%335212.387601%2.387601%2.4%7,7722.237813%2.237813%2.2%185222.227815%2.227815%2.2%9,1972.212307%2.212307%2.2%119232.150899%2.150899%2.2%128242.053012%2.053012%2.1%213251.942933%1.942933%1.9%175261.830777%1.830777%1.8%148271.814516%1.814516%1.8%144281.768397%1.768397%1.8%93291.715976%1.715976%1.7%174301.711146%1.711146%1.7%218311.612592%1.612592%1.6%251321.611962%1.611962%1.6%221331.584924%1.584924%1.6%127341.575342%1.575342%1.6%92351.439807%1.439807%1.4%335361.429052%1.429052%1.4%85371.388310%1.388310%1.4%1,300381.375796%1.375796%1.4%216391.343918%1.343918%1.3%215401.018359%1.018359%1.0%289410.985761%0.985761%1.0%36420.970224%0.970224%1.0%87430.933737%0.933737%0.9%114440.796008%0.796008%0.8%67450.639768%0.639768%0.6%75460.577637%0.577637%0.6%42470.378191%0.378191%0.4%24480.266166%0.266166%0.3%17490.261506%0.261506%0.3%15500.000000%0.000000%0.0%00.000000%0.000000%0.0%0
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#22

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 the Ohio Township, selected other county subdivisions in Kansas, and entities that contain the Ohio Township
Female
Male
2x0x2x4x6xFM#SoldierPrairie VlgLansingKechiSalemTract 009700El DoradoWinfieldCoffeyvillePittsburgHutchinsonGreat BendLawrenceGardnerIndependenceNewtonKansas CityChanuteFairmountWest North CentralKansasMidwestMissionTopekaDodge CityArkansas CityUnited StatesOlatheFort ScottOverland ParkOttawaLiberalSedgwickWichita AreaEmporiaWichitaHaysLeavenworthParsonsBrunoGarden CityLenexaSalinaRiversideShawneeMerriamTecumsehOhio TownshipRockfordWellingtonAugustaManhattanJunction CityMadisonMcPhersonMissionAtchisonLeawood-1.000000x-1.000000x6.409381x6.409381x6.41x0.652%0.65%4.177%4.18%1-1.000000x-1.000000x2.955512x2.955512x2.96x0.582%0.58%1.720%1.72%2-1.000000x-1.000000x2.364703x2.364703x2.36x5.753%5.75%13.604%13.6%3-1.000000x-1.000000x1.701345x1.701345x1.70x6.355%6.36%10.813%10.8%4-1.000000x-1.000000x1.576560x1.576560x1.58x6.708%6.71%10.575%10.6%5-1.000000x-1.000000x1.490072x1.490072x1.49x8.482%8.48%12.638%12.6%-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%6.93%9.775%9.78%6-1.000000x-1.000000x1.312419x1.312419x1.31x8.574%8.57%11.252%11.3%7-1.000000x-1.000000x1.305222x1.305222x1.31x13.337%13.3%17.408%17.4%8-1.000000x-1.000000x1.290383x1.290383x1.29x9.952%9.95%12.842%12.8%9-1.000000x-1.000000x1.285110x1.285110x1.29x12.110%12.1%15.563%15.6%10-1.000000x-1.000000x1.276094x1.276094x1.28x13.844%13.8%17.667%17.7%11-1.000000x-1.000000x1.232644x1.232644x1.23x4.323%4.32%5.329%5.33%12-1.000000x-1.000000x1.223779x1.223779x1.22x4.572%4.57%5.595%5.60%13-1.000000x-1.000000x1.221651x1.221651x1.22x9.421%9.42%11.510%11.5%14-1.000000x-1.000000x1.212719x1.212719x1.21x9.765%9.76%11.842%11.8%15-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%16-1.000000x-1.000000x1.181812x1.181812x1.18x10.500%10.5%12.409%12.4%17-1.000000x-1.000000x1.141862x1.141862x1.14x4.642%4.64%5.301%5.30%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127040x1.127040x1.13x2.776%2.78%3.129%3.13%19-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%20-1.000000x-1.000000x1.117097x1.117097x1.12x30.255%30.3%33.798%33.8%21-1.000000x-1.000000x1.113954x1.113954x1.11x14.168%14.2%15.782%15.8%22-1.000000x-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%23-1.000000x-1.000000x1.106385x1.106385x1.11x10.110%10.1%11.185%11.2%24-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%25-1.000000x-1.000000x1.080037x1.080037x1.08x9.713%9.71%10.491%10.5%26-1.000000x-1.000000x1.076705x1.076705x1.08x33.351%33.4%35.909%35.9%27-1.000000x-1.000000x1.067656x1.067656x1.07x10.667%10.7%11.389%11.4%-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.064594x1.064594x1.06x13.284%13.3%14.142%14.1%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.056897x1.056897x1.06x5.851%5.85%6.184%6.18%30-1.000000x-1.000000x1.023913x1.023913x1.02x8.507%8.51%8.710%8.71%31-1.000000x-1.000000x1.002176x1.002176x1.00x14.537%14.5%14.568%14.6%32-1.021682x-1.021682x1.02x1.000000x1.000000x3.880%3.88%3.798%3.80%33-1.028302x-1.028302x1.03x1.000000x1.000000x28.471%28.5%27.687%27.7%34-1.036696x-1.036696x1.04x1.000000x1.000000x4.445%4.45%4.288%4.29%35-1.067382x-1.067382x1.07x1.000000x1.000000x11.394%11.4%10.675%10.7%36-1.114198x-1.114198x1.11x1.000000x1.000000x11.058%11.1%9.925%9.92%37-1.120654x-1.120654x1.12x1.000000x1.000000x5.393%5.39%4.812%4.81%38-1.159410x-1.159410x1.16x1.000000x1.000000x6.844%6.84%5.903%5.90%39-1.248115x-1.248115x1.25x1.000000x1.000000x4.950%4.95%3.966%3.97%40-1.311928x-1.311928x1.31x1.000000x1.000000x10.278%10.3%7.834%7.83%-1.345784x-1.345784x1.35x1.000000x1.000000x3.874%3.87%2.879%2.88%41-1.374204x-1.374204x1.37x1.000000x1.000000x10.926%10.9%7.951%7.95%42-1.534357x-1.534357x1.53x1.000000x1.000000x12.019%12.0%7.833%7.83%43-1.571770x-1.571770x1.57x1.000000x1.000000x4.938%4.94%3.142%3.14%44-1.599843x-1.599843x1.60x1.000000x1.000000x12.475%12.5%7.798%7.80%45-1.716758x-1.716758x1.72x1.000000x1.000000x3.140%3.14%1.829%1.83%46-1.760420x-1.760420x1.76x1.000000x1.000000x6.213%6.21%3.529%3.53%47-1.814184x-1.814184x1.81x1.000000x1.000000x4.429%4.43%2.441%2.44%48-2.476800x-2.476800x2.48x1.000000x1.000000x10.476%10.5%4.229%4.23%49-2.686567x-2.686567x2.69x1.000000x1.000000x0.970%0.97%0.361%0.36%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 the Ohio Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Ohio Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#23

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ohio Township, selected other county subdivisions in the Midwest, and entities that contain the Ohio Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaSedgwick CountySedgwickMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorth009700Tract 009700Wichita Metro AreaWichita AreaMidwestLawrence TownshipLawrenceSioux FallsKansasWest North CentralOhio TownshipCapital 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%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772911.017004%11.017004%11.0%35,86235.9k10.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.592460%10.592460%10.6%47210.404141%10.404141%10.4%42,95143.0k10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.691216%9.691216%9.7%182,049182k9.174633%9.174633%9.2%1,278,0511.28M9.117433%9.117433%9.1%1258.623103%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#24

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ohio Township, selected other county subdivisions in the Midwest, and entities that contain the Ohio Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalOhio TownshipColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsKansasUnited States of AmericaUnited StatesSioux FallsWest North CentralSedgwick CountySedgwickWichita Metro AreaWichita AreaMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledo009700Tract 009700DaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.792123%34.792123%34.8%47734.685843%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%27,10227.1k2831.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M30.041319%30.041319%30.0%97,78997.8k29.268021%29.268021%29.3%120,826121k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%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%33,17133.2k4217.684022%17.684022%17.7%78817.635555%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#25

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ohio Township, selected other county subdivisions in the Midwest, and entities that contain the Ohio Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceKansasWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaSedgwick CountySedgwickWichita Metro AreaWichita AreaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton009700Tract 009700Ohio Township17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472253.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.387601%2.387601%2.4%7,7722.227815%2.227815%2.2%9,1972.213918%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%971500.000000%0.000000%0.0%00.000000%0.000000%0.0%0
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#26

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 the Ohio Township, selected other county subdivisions in the Midwest, and entities that contain the Ohio Township
Female
Male
1x0x1xFM#Tract 009700Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralKansasWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoSedgwickWichita AreaWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineOhio Township-1.000000x-1.000000x1.490072x1.490072x1.49x8.482%8.48%12.638%12.6%-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-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-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-1.000000x1.123984x1.123984x1.12x16.526%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-1.000000x1.099747x1.099747x1.10x10.199%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-1.000000x1.067656x1.067656x1.07x10.667%10.7%11.389%11.4%-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50-1.311928x-1.311928x1.31x1.000000x1.000000x10.278%10.3%7.834%7.83%
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 the Ohio Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Ohio Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#27

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ohio Township, selected other county subdivisions in the United States, and entities that contain the Ohio Township
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, CharlotteColumbusTulsaSedgwick CountySedgwick009700Tract 009700Salt Lake CitySalt Lk CityWichita Metro AreaWichita AreaTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonKansasAtlantaWest North CentralOhio TownshipSeattleNortheast 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%43,65343.7k4111.017004%11.017004%11.0%35,86235.9k10.592460%10.592460%10.6%47210.435356%10.435356%10.4%64,29464.3k4210.404141%10.404141%10.4%42,95143.0k10.384134%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%46,51046.5k459.691216%9.691216%9.7%182,049182k9.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M9.117433%9.117433%9.1%1258.833573%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#28

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ohio Township, selected other county subdivisions in the United States, and entities that contain the Ohio Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoOhio TownshipColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonKansasOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralSedgwick CountySedgwickBaltimoreWichita Metro AreaWichita AreaLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronx009700Tract 009700San BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.792123%34.792123%34.8%47734.685843%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%184,237184k2631.610465%31.610465%31.6%593,801594k31.198303%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%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M30.041319%30.041319%30.0%97,78997.8k29.719611%29.719611%29.7%125,423125k3129.268021%29.268021%29.3%120,826121k29.113198%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%112,142112k3428.412939%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%111,532112k3826.349720%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%173,169173k4717.684022%17.684022%17.7%78816.375473%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#29

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ohio Township, selected other county subdivisions in the United States, and entities that contain the Ohio Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaKansasPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlySedgwick CountySedgwickOntarioWichita Metro AreaWichita AreaFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit009700Tract 009700Ohio Township12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.019438%3.019438%3.0%56,72056.7k3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.387601%2.387601%2.4%7,7722.324315%2.324315%2.3%9,688412.227815%2.227815%2.2%9,1972.173239%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%5,693500.000000%0.000000%0.0%00.000000%0.000000%0.0%0
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#30

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 the Ohio Township, selected other county subdivisions in the United States, and entities that contain the Ohio Township
Female
Male
1x0x1xFM#Tract 0097001, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralKansasMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoSedgwickWichita AreaAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl PasoOhio Township-1.000000x-1.000000x1.490072x1.490072x1.49x8.482%8.48%12.638%12.6%-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-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-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-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%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-1.000000x1.067656x1.067656x1.07x10.667%10.7%11.389%11.4%-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50-1.311928x-1.311928x1.31x1.000000x1.000000x10.278%10.3%7.834%7.83%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Kansas
County:
Sedgwick
Metro Area:
Wichita Area
City:
Haysville
ZIP Codes:
67026, 67060, 67120
Unified School Districts:
Clearwater 264, Haysville 261, Mulvane 263
Congressional District:
KS-4
State Senate District:
KS-26
State House District:
KS-93
Neighboring Townships:
Illinois, Illinois, London, Ninnescah, Riverside, Salem, Waco
Nearby Townships:
Attica, Belle Plaine, Conway, Delano, Gypsum, Rockford, Seventy-Six, Sumner, Viola