Educational Attainment in the Ohio Township, Allegheny County, Pennsylvania (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Allegheny County and the Ohio Township
Ohio Township
Allegheny County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma266.358999%48.553620%66.358999%66.4%2,73228.685936%45.314107%28.685936%28.7%1,1814.955064%6.132273%4.955064%5.0%204
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 Allegheny County at large.
Scope: population of Allegheny County and the Ohio Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma236.671579%36.671579%+36.7%66.359%66.4%48.554%48.6%-36.695350%-36.695350%-36.7%28.686%28.7%45.314%45.3%-19.196941%-19.196941%-19.2%4.955%4.96%6.132%6.13%
% percentage with given level in the Ohio Township
ref. percentage with given level in Allegheny 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 Allegheny County and the Ohio Township
Ohio Township
Allegheny County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None3.181929%2.178006%3.181929%3.2%1316.679621%2.861175%6.679621%6.7%27520.014574%11.092264%20.014574%20.0%82429.001700%22.938138%29.001700%29.0%1,1947.481176%9.484039%7.481176%7.5%30810.808841%16.391396%10.808841%10.8%44517.877095%28.922711%17.877095%17.9%7361.603109%4.308747%1.603109%1.6%661.238766%1.052191%1.238766%1.2%512.113189%0.771334%2.113189%2.1%87
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 Allegheny County at large.
Scope: population of Allegheny County and the Ohio Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None46.093678%46.093678%+46.1%3.182%3.18%2.178%2.18%133.457306%133.457306%+133.5%6.680%6.68%2.861%2.86%80.437235%80.437235%+80.4%20.015%20.0%11.092%11.1%26.434416%26.434416%+26.4%29.002%29.0%22.938%22.9%-21.118251%-21.118251%-21.1%7.481%7.48%9.484%9.48%-34.057834%-34.057834%-34.1%10.809%10.8%16.391%16.4%-38.190113%-38.190113%-38.2%17.877%17.9%28.923%28.9%-62.794081%-62.794081%-62.8%1.603%1.60%4.309%4.31%17.732003%17.732003%+17.7%1.239%1.24%1.052%1.05%173.965379%173.965379%+174.0%2.113%2.11%0.771%0.77%
% percentage with given level in the Ohio Township
ref. percentage with given level in Allegheny 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 Allegheny County and the Ohio Township
More Females More Males
Allegheny County
Ohio Township
20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma29.907673%4.759753%9.907673%10%63.300%63.3%69.572%69.6%-30.580549%-4.649060%-30.580549%31%32.385%32.4%24.801%24.8%-3.386180%30.421720%30.421720%30%4.315%4.31%5.627%5.63%
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 Allegheny County and the Ohio Township
More Females More Males
Allegheny County
Ohio Township
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None157.046813%50.128603%157.046813%157%1.802%1.80%4.631%4.63%396.703810%67.295152%396.703810%397%2.276%2.28%11.305%11.3%-11.246537%-14.472918%-11.246537%11%21.053%21.1%18.924%18.9%-7.430594%-7.430594%7%12.699308%30.014%30.0%27.938%27.9%-20.413912%-15.272962%-20.413912%20%8.156%8.16%6.773%6.77%-16.633476%-0.363340%-16.633476%17%11.617%11.6%9.960%9.96%-39.941001%-7.164934%-39.941001%40%20.768%20.8%14.841%14.8%-0.737152%328.198743%328.198743%328%0.616%0.62%2.639%2.64%-1,000.000000%-17.574847%-1,000.000000%> 1000%2.418%2.42%0.000%0%-0.408053%133.399734%133.399734%133%1.280%1.28%2.988%2.99%
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 Allegheny County and the Ohio Township
Ohio Township
Allegheny County
0%10%20%30%B.X.Total65+45-6435-4425-3426.008969%12.895091%26.008969%26.0%17466924.746835%21.343743%24.746835%24.7%3911,58037.656428%27.408762%37.656428%37.7%33187930.131446%34.303066%30.131446%30.1%298989
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 Allegheny County at large.
Scope: population of Allegheny County and the Ohio Township
0%20%40%60%80%100%%ref.65+45-6435-4425-34101.696669%101.696669%101.7%26.009%26.0%12.895%12.9%15.944213%15.944213%15.9%24.747%24.7%21.344%21.3%37.388284%37.388284%37.4%37.656%37.7%27.409%27.4%-12.161071%-12.161071%12.2%30.131%30.1%34.303%34.3%
% percentage in the Ohio Township with a Bachelor's degree
ref percentage in Allegheny 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 Allegheny County and the Ohio Township
More Females More Males
Allegheny County
Ohio Township
0%100%200%FM65+45-6435-4425-34256.435310%65.864080%256.435310%256.4%10.738%10.7%38.275%38.3%-57.157304%-57.157304%57.2%5.469268%30.137%30.1%19.176%19.2%-15.985086%-2.177996%-15.985086%16.0%40.257%40.3%34.709%34.7%-11.499556%-2.053873%-11.499556%11.5%31.608%31.6%28.348%28.3%
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 Allegheny County and the Ohio Township
Ohio Township
Allegheny County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$73,990.000000$63,730.000000$73,990.000000$74.0k1,23029.876%29.9%$72,679.000000$49,901.000000$72,679.000000$72.7k1,19429.002%29.0%$38,102.000000$34,038.000000$38,102.000000$38.1k75318.290%18.3%$30,538.000000$28,174.000000$30,538.000000$30.5k73617.877%17.9%$61,590.000000$40,259.000000$61,590.000000$61.6k4,117100.000%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 Allegheny County and the Ohio Township
Female Male
Allegheny County
Ohio Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeTotal$-60,110.000000$-53,302.000000$-60,110.000000$60.1k$60,110.000000$27,066.000000$53,302.000000$28,586.000000$87,176.000000$87.2k530700$-70,192.000000$-40,600.000000$-70,192.000000$70.2k$70,192.000000$4,121.000000$40,600.000000$19,492.000000$74,313.000000$74.3k633561$-36,514.000000$-29,571.000000$-36,514.000000$36.5k$36,514.000000$17,236.000000$29,571.000000$11,360.000000$53,750.000000$53.8k417336$-53,384.000000$-32,920.000000$-53,384.000000$53.4k$53,384.000000$22,079.000000$32,920.000000$14,535.000000$75,463.000000$75.5k2,1092,008
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 Allegheny County and the Ohio Township
Ohio Township
Allegheny County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.259445%84.901284%90.259445%90.3%1,98382.445141%76.654985%82.445141%82.4%52675.406032%66.366396%75.406032%75.4%32518.131868%41.572478%18.131868%18.1%33
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 Allegheny County and the Ohio Township
Female Male
Allegheny County
Ohio Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%MFWhite1BlackAsianHispanic2Other1-2.301496%-5.083941%-0.362431%-2.301496%2.3%2.301496%3.103909%5.083941%5.405405%5.4%9440-0.000000%-9.243002%0.000000%0.0%0.000000%15.322581%9.243002%2.208327%15.322581%15.3%190-0.000000%-35.915493%-8.170714%-4.995570%-35.915493%35.9%0.000000%8.170714%0.000000%0.0%051-0.000000%-12.156562%0.000000%0.0%0.000000%0.000000%12.156562%1.694388%0.000000%0.0%00-0.000000%-8.309878%0.000000%0.0%0.000000%0.000000%8.309878%1.570482%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Allegheny County and the Ohio Township
Female Male
Allegheny County
Ohio Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1BlackAsianHispanic2Other1-57.537399%-38.627867%-57.537399%57.5%57.537399%3.934711%38.627867%3.796437%61.472110%61.5%1,0691,000-18.543046%-17.854047%-2.245615%-18.543046%18.5%18.543046%43.553728%17.854047%62.096774%62.1%7728-45.774648%-70.197939%-45.774648%45.8%45.774648%29.431964%70.197939%9.304519%75.206612%75.2%9165-100.000000%-38.940024%-5.188909%-100.000000%100.0%100.000000%0.000000%38.940024%100.000000%100.0%2036-86.885246%-32.625353%-2.932883%-86.885246%86.9%86.885246%13.114754%32.625353%100.000000%100.0%453
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 Pittsburgh Area

There are 460 county subdivisions in the Pittsburgh Area. This section compares the Ohio Township to the 50 most populous county subdivisions in the Pittsburgh 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 11,197.

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 Pittsburgh Area, and entities that contain the Ohio Township
0%5%10%Count#McKeesportWashingtonUnited States of AmericaUnited StatesNorth Union TownshipN UnionNew KensingtonMiddle AtlanticNortheastButlerDerry TownshipDerryPennsylvaniaWilkinsburgWhitehallPittsburghHopewell TownshipHopewellGreensburgWest Deer TownshipW DeerHempfield TownshipHempfieldPittsburgh Metro AreaPittsburghMunhallRobinson TownshipRobinsonUnity TownshipUnityPenn Hills TownshipPenn HlsNorth Fayette TownshipN FayetteBaldwinAllegheny CountyAlleghenyCecil TownshipCecilLower BurrellWest MifflinRoss TownshipButler TownshipButlerCenter TownshipCtrSouth Fayette TownshipS FayetteShaler TownshipShalerScott TownshipScottMoon TownshipRostraver TownshipRostraver437000Tract 437000Ohio TownshipMonroevillePlumNorth Strabane TownshipN StrabaneAvonworth School DistrictAvonworthPenn TownshipBethel ParkNorth Huntingdon TownshipN HuntingdonElizabeth TownshipElizabethRichland TownshipRichlandMcCandless TownshipMcCandlessCranberry TownshipCranberryMurrysvilleHampton TownshipHamptonSouth Park TownshipS PkJefferson HillsJefferson HlsAdams TownshipAdamsPeters TownshipPetersMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. ClairFranklin ParkPine Township13.745428%13.745428%13.7%1,879113.102099%13.102099%13.1%1,205213.020590%13.020590%13.0%27,818,38027.8M12.479966%12.479966%12.5%1,168312.421834%12.421834%12.4%1,172412.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M10.908131%10.908131%10.9%1,033510.696587%10.696587%10.7%1,144610.459911%10.459911%10.5%925,686926k9.211661%9.211661%9.2%1,06878.658663%8.658663%8.7%91688.043576%8.043576%8.0%16,40616.4k97.739130%7.739130%7.7%712107.388471%7.388471%7.4%737117.301011%7.301011%7.3%643127.148505%7.148505%7.1%2,260137.130926%7.130926%7.1%120,640121k7.016473%7.016473%7.0%575146.941165%6.941165%6.9%735156.896773%6.896773%6.9%1,073166.765076%6.765076%6.8%2,099176.577684%6.577684%6.6%685186.396191%6.396191%6.4%927196.132273%6.132273%6.1%53,97454.0k6.077348%6.077348%6.1%517205.862312%5.862312%5.9%499215.671885%5.671885%5.7%837225.637439%5.637439%5.6%1,354235.636235%5.636235%5.6%718245.507623%5.507623%5.5%466255.441079%5.441079%5.4%573265.338744%5.338744%5.3%1,171275.249464%5.249464%5.2%686285.169841%5.169841%5.2%866295.119920%5.119920%5.1%412304.955064%4.955064%5.0%2044.955064%4.955064%5.0%2044.869736%4.869736%4.9%1,043314.837339%4.837339%4.8%968324.716532%4.716532%4.7%495334.569688%4.569688%4.6%3604.364142%4.364142%4.4%628344.315126%4.315126%4.3%1,027354.016913%4.016913%4.0%912363.965778%3.965778%4.0%394373.450863%3.450863%3.5%276383.276003%3.276003%3.3%680393.194067%3.194067%3.2%646403.192710%3.192710%3.2%473413.067020%3.067020%3.1%405422.955466%2.955466%3.0%292432.824360%2.824360%2.8%224442.373068%2.373068%2.4%215452.271945%2.271945%2.3%330461.930306%1.930306%1.9%457471.324503%1.324503%1.3%176481.026905%1.026905%1.0%100490.730994%0.730994%0.7%6050
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 Pittsburgh Area, and entities that contain the Ohio Township
0%20%40%60%Count#Pine TownshipFranklin ParkMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. ClairPeters TownshipPeters437000Tract 437000Ohio TownshipAdams TownshipAdamsMcCandless TownshipMcCandlessCranberry TownshipCranberryAvonworth School DistrictAvonworthMurrysvilleRichland TownshipRichlandHampton TownshipHamptonMoon TownshipRobinson TownshipRobinsonSouth Fayette TownshipS FayetteBethel ParkNorth Strabane TownshipN StrabaneScott TownshipScottRoss TownshipJefferson HillsJefferson HlsPittsburghCecil TownshipCecilAllegheny CountyAlleghenyMonroevilleNorth Fayette TownshipN FayettePlumShaler TownshipShalerSouth Park TownshipS PkPenn TownshipNortheastMiddle AtlanticNorth Huntingdon TownshipN HuntingdonGreensburgCenter TownshipCtrWhitehallPittsburgh Metro AreaPittsburghUnity TownshipUnityWest Deer TownshipW DeerHempfield TownshipHempfieldWilkinsburgUnited States of AmericaUnited StatesButler TownshipButlerPennsylvaniaPenn Hills TownshipPenn HlsMunhallBaldwinRostraver TownshipRostraverHopewell TownshipHopewellLower BurrellElizabeth TownshipElizabethNew KensingtonWest MifflinWashingtonButlerNorth Union TownshipN UnionDerry TownshipDerryMcKeesport72.843567%72.843567%72.8%5,979170.384062%70.384062%70.4%6,854268.861668%68.861668%68.9%16,30316.3k368.550572%68.550572%68.6%9,109460.984509%60.984509%61.0%8,858558.877824%58.877824%58.9%2,42458.877824%58.877824%58.9%2,42458.763797%58.763797%58.8%5,324657.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k854.391978%54.391978%54.4%4,28552.480594%52.480594%52.5%7,775952.250563%52.250563%52.3%4,1791050.836804%50.836804%50.8%6,7131149.800012%49.800012%49.8%8,3421247.728775%47.728775%47.7%5,0541346.871142%46.871142%46.9%4,9361445.546218%45.546218%45.5%10,84010.8k1545.192949%45.192949%45.2%4,7431643.587389%43.587389%43.6%5,6961743.209260%43.209260%43.2%10,37810.4k1842.894969%42.894969%42.9%3,4021940.731207%40.731207%40.7%83,07783.1k2039.155989%39.155989%39.2%3,3312139.069581%39.069581%39.1%343,876344k38.668410%38.668410%38.7%8,2822238.419435%38.419435%38.4%4,0012336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.050607%35.050607%35.1%3,4632634.933982%34.933982%34.9%5,0272734.780899%34.780899%34.8%13,437,26113.4M33.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032833.042607%33.042607%33.0%3,2962932.880274%32.880274%32.9%2,7823032.857548%32.857548%32.9%3,4763132.546256%32.546256%32.5%550,613551k31.932125%31.932125%31.9%4,9683231.702055%31.702055%31.7%2,7923330.903052%30.903052%30.9%9,7703430.714162%30.714162%30.7%3,5613530.315023%30.315023%30.3%64,767,78764.8M29.963105%29.963105%30.0%3,8173629.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163726.430750%26.430750%26.4%2,1663826.371352%26.371352%26.4%3,8223925.885423%25.885423%25.9%2,0834025.586957%25.586957%25.6%2,3544125.281955%25.281955%25.3%2,1524224.992451%24.992451%25.0%2,4834323.624801%23.624801%23.6%2,2294422.003117%22.003117%22.0%3,2474517.951506%17.951506%18.0%1,6514616.282999%16.282999%16.3%1,5424713.505716%13.505716%13.5%1,2644812.837775%12.837775%12.8%1,3734912.267740%12.267740%12.3%1,67750
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 Pittsburgh Area, and entities that contain the Ohio Township
0%5%10%Count#Franklin ParkMount Lebanon TownshipMt LebanonUpper St. Clair TownshipUpper St. Clair437000Tract 437000Ohio TownshipHampton TownshipHamptonAvonworth School DistrictAvonworthPine TownshipPittsburghMurrysvilleMcCandless TownshipMcCandlessPeters TownshipPetersAllegheny CountyAlleghenyMoon TownshipUnity TownshipUnityCranberry TownshipCranberryMonroevilleRoss TownshipRichland TownshipRichlandBethel ParkNortheastMiddle AtlanticAdams TownshipAdamsPittsburgh Metro AreaPittsburghNorth Strabane TownshipN StrabaneUnited States of AmericaUnited StatesPennsylvaniaShaler TownshipShalerSouth Fayette TownshipS FayetteScott TownshipScottCecil TownshipCecilGreensburgRostraver TownshipRostraverWilkinsburgNorth Fayette TownshipN FayetteMunhallHempfield TownshipHempfieldSouth Park TownshipS PkWhitehallRobinson TownshipRobinsonPenn Hills TownshipPenn HlsPenn TownshipElizabeth TownshipElizabethCenter TownshipCtrHopewell TownshipHopewellLower BurrellNew KensingtonJefferson HillsJefferson HlsNorth Huntingdon TownshipN HuntingdonButler TownshipButlerPlumBaldwinWest Deer TownshipW DeerWashingtonButlerWest MifflinNorth Union TownshipN UnionMcKeesportDerry TownshipDerry13.134114%13.134114%13.1%1,279112.929250%12.929250%12.9%3,061212.409693%12.409693%12.4%1,64939.861550%9.861550%9.9%4069.861550%9.861550%9.9%4068.436198%8.436198%8.4%1,11448.390454%8.390454%8.4%6617.614522%7.614522%7.6%62557.432194%7.432194%7.4%15,15915.2k67.080661%7.080661%7.1%1,04976.966325%6.966325%7.0%1,44686.781411%6.781411%6.8%98595.039180%5.039180%5.0%44,35344.4k4.871351%4.871351%4.9%816104.769251%4.769251%4.8%742114.697157%4.697157%4.7%950124.440190%4.440190%4.4%951134.221834%4.221834%4.2%1,014144.201050%4.201050%4.2%336154.105042%4.105042%4.1%977164.085016%4.085016%4.1%1,578,2061.58M3.884861%3.884861%3.9%1,105,8831.11M3.741722%3.741722%3.7%339173.600869%3.600869%3.6%60,91960.9k3.439733%3.439733%3.4%361183.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713193.228563%3.228563%3.2%340203.221610%3.221610%3.2%421213.044552%3.044552%3.0%259222.957393%2.957393%3.0%295232.758792%2.758792%2.8%222242.682422%2.682422%2.7%311252.669483%2.669483%2.7%278262.489323%2.489323%2.5%204272.479836%2.479836%2.5%784282.469636%2.469636%2.5%244292.438794%2.438794%2.4%258302.408159%2.408159%2.4%255312.356013%2.356013%2.4%731322.251564%2.251564%2.3%324332.194263%2.194263%2.2%218342.021038%2.021038%2.0%171352.000000%2.000000%2.0%184361.985432%1.985432%2.0%169371.907790%1.907790%1.9%180381.866095%1.866095%1.9%148391.814658%1.814658%1.8%412401.562132%1.562132%1.6%199411.544151%1.544151%1.5%309421.483475%1.483475%1.5%215431.226297%1.226297%1.2%108441.141677%1.141677%1.1%105451.024287%1.024287%1.0%97460.955479%0.955479%1.0%141470.758628%0.758628%0.8%71480.548647%0.548647%0.5%75490.448808%0.448808%0.4%4850
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 Pittsburgh Area, and entities that contain the Ohio Township
Female
Male
2x1x0x1xFM#PetersShalerAdamsLower BurrellN StrabaneCtrWhitehallRostraverMunhallMt LebanonWest MifflinTract 437000Ohio TownshipNew KensingtonWilkinsburgHempfieldAvonworthDerryMcKeesportPine TownshipUnityN UnionUnited StatesPennsylvaniaS FayetteNortheastMiddle AtlanticPenn TownshipBaldwinPittsburghMoon TownshipPlumMurrysvillePenn HlsWashingtonAlleghenyButlerPittsburghN FayetteElizabethBethel ParkCecilMonroevilleUpper St. ClairW DeerButlerJefferson HlsMcCandlessHamptonN HuntingdonRoss TownshipGreensburgRobinsonS PkHopewellScottCranberryRichlandFranklin Park-1.000000x-1.000000x1.982039x1.982039x1.98x1.545%1.55%3.063%3.06%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.512764x1.512764x1.51x1.894%1.89%2.865%2.87%3-1.000000x-1.000000x1.429753x1.429753x1.43x4.856%4.86%6.943%6.94%4-1.000000x-1.000000x1.427362x1.427362x1.43x3.889%3.89%5.551%5.55%5-1.000000x-1.000000x1.405987x1.405987x1.41x4.637%4.64%6.520%6.52%6-1.000000x-1.000000x1.355787x1.355787x1.36x7.478%7.48%10.138%10.1%7-1.000000x-1.000000x1.337913x1.337913x1.34x4.379%4.38%5.859%5.86%8-1.000000x-1.000000x1.321989x1.321989x1.32x6.071%6.07%8.026%8.03%9-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%10-1.000000x-1.000000x1.309286x1.309286x1.31x4.977%4.98%6.517%6.52%11-1.000000x-1.000000x1.304217x1.304217x1.30x4.315%4.31%5.627%5.63%-1.000000x-1.000000x1.304217x1.304217x1.30x4.315%4.31%5.627%5.63%-1.000000x-1.000000x1.279801x1.279801x1.28x10.987%11.0%14.062%14.1%12-1.000000x-1.000000x1.249216x1.249216x1.25x8.344%8.34%10.424%10.4%13-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%14-1.000000x-1.000000x1.231465x1.231465x1.23x4.112%4.11%5.063%5.06%-1.000000x-1.000000x1.214660x1.214660x1.21x9.690%9.69%11.770%11.8%15-1.000000x-1.000000x1.207679x1.207679x1.21x12.567%12.6%15.177%15.2%16-1.000000x-1.000000x1.141684x1.141684x1.14x0.684%0.68%0.781%0.78%17-1.000000x-1.000000x1.130306x1.130306x1.13x6.490%6.49%7.336%7.34%18-1.000000x-1.000000x1.120959x1.120959x1.12x11.824%11.8%13.254%13.3%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.087339x1.087339x1.09x5.225%5.23%5.682%5.68%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.040383x1.040383x1.04x4.281%4.28%4.453%4.45%21-1.000000x-1.000000x1.029151x1.029151x1.03x6.309%6.31%6.493%6.49%22-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-1.000000x-1.000000x1.010004x1.010004x1.01x5.143%5.14%5.195%5.19%23-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%24-1.000014x-1.000014x1.00x1.000000x1.000000x3.193%3.19%3.193%3.19%25-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%26-1.018234x-1.018234x1.02x1.000000x1.000000x13.217%13.2%12.980%13.0%27-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%-1.038960x-1.038960x1.04x1.000000x1.000000x11.113%11.1%10.697%10.7%28-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%29-1.086419x-1.086419x1.09x1.000000x1.000000x6.842%6.84%6.298%6.30%30-1.105460x-1.105460x1.11x1.000000x1.000000x4.147%4.15%3.752%3.75%31-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%32-1.135043x-1.135043x1.14x1.000000x1.000000x6.447%6.45%5.680%5.68%33-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%34-1.165296x-1.165296x1.17x1.000000x1.000000x1.419%1.42%1.218%1.22%35-1.184230x-1.184230x1.18x1.000000x1.000000x7.893%7.89%6.665%6.67%36-1.191524x-1.191524x1.19x1.000000x1.000000x6.102%6.10%5.121%5.12%37-1.209319x-1.209319x1.21x1.000000x1.000000x3.075%3.08%2.543%2.54%38-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%39-1.279586x-1.279586x1.28x1.000000x1.000000x3.416%3.42%2.670%2.67%40-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%41-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%42-1.304698x-1.304698x1.30x1.000000x1.000000x8.186%8.19%6.274%6.27%43-1.371760x-1.371760x1.37x1.000000x1.000000x7.980%7.98%5.818%5.82%44-1.372742x-1.372742x1.37x1.000000x1.000000x3.393%3.39%2.472%2.47%45-1.422764x-1.422764x1.42x1.000000x1.000000x9.058%9.06%6.366%6.37%46-1.679137x-1.679137x1.68x1.000000x1.000000x6.460%6.46%3.847%3.85%47-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%48-2.427134x-2.427134x2.43x1.000000x1.000000x4.789%4.79%1.973%1.97%49-2.643304x-2.643304x2.64x1.000000x1.000000x1.483%1.48%0.561%0.56%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Ohio Township, selected other county subdivisions in the Pittsburgh Area, and entities that contain the Ohio Township
Female
Male
2x0x2x4xFM#DerryLower BurrellRichlandMcKeesportTract 437000Ohio TownshipWhitehallHopewellN StrabaneElizabethButlerS PkWest MifflinUnityAvonworthPine TownshipUpper St. ClairMt LebanonPenn TownshipHempfieldNew KensingtonN HuntingdonCranberryBaldwinMurrysvilleRoss TownshipWilkinsburgMcCandlessPetersFranklin ParkPittsburghPennsylvaniaW DeerHamptonScottAlleghenyS FayetteMonroevilleUnited StatesMiddle AtlanticNortheastGreensburgMoon TownshipPittsburghCecilButlerCtrBethel ParkShalerAdamsJefferson HlsRostraverPlumPenn HlsN UnionWashingtonMunhallN FayetteRobinson-1.000000x-1.000000x5.335330x5.335330x5.34x0.145%0.14%0.773%0.77%1-1.000000x-1.000000x4.424405x4.424405x4.42x0.749%0.75%3.313%3.31%2-1.000000x-1.000000x4.195896x4.195896x4.20x1.668%1.67%6.998%7.00%3-1.000000x-1.000000x4.142305x4.142305x4.14x0.227%0.23%0.939%0.94%4-1.000000x-1.000000x3.908089x3.908089x3.91x4.078%4.08%15.936%15.9%-1.000000x-1.000000x3.908089x3.908089x3.91x4.078%4.08%15.936%15.9%-1.000000x-1.000000x3.501723x3.501723x3.50x1.156%1.16%4.047%4.05%5-1.000000x-1.000000x3.033869x3.033869x3.03x1.002%1.00%3.039%3.04%6-1.000000x-1.000000x2.907647x2.907647x2.91x1.764%1.76%5.130%5.13%7-1.000000x-1.000000x2.776795x2.776795x2.78x1.209%1.21%3.357%3.36%8-1.000000x-1.000000x2.751751x2.751751x2.75x0.853%0.85%2.346%2.35%9-1.000000x-1.000000x2.747368x2.747368x2.75x1.350%1.35%3.708%3.71%10-1.000000x-1.000000x2.680211x2.680211x2.68x0.543%0.54%1.456%1.46%11-1.000000x-1.000000x2.576396x2.576396x2.58x2.712%2.71%6.988%6.99%12-1.000000x-1.000000x2.431081x2.431081x2.43x4.968%4.97%12.078%12.1%-1.000000x-1.000000x2.408624x2.408624x2.41x4.529%4.53%10.910%10.9%13-1.000000x-1.000000x2.390630x2.390630x2.39x7.507%7.51%17.946%17.9%14-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%15-1.000000x-1.000000x2.289886x2.289886x2.29x1.386%1.39%3.175%3.17%16-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%17-1.000000x-1.000000x2.072311x2.072311x2.07x1.272%1.27%2.635%2.64%18-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%19-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%20-1.000000x-1.000000x1.910738x1.910738x1.91x1.036%1.04%1.980%1.98%21-1.000000x-1.000000x1.846175x1.846175x1.85x5.036%5.04%9.297%9.30%22-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%23-1.000000x-1.000000x1.707474x1.707474x1.71x2.071%2.07%3.537%3.54%24-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%25-1.000000x-1.000000x1.668074x1.668074x1.67x5.138%5.14%8.571%8.57%26-1.000000x-1.000000x1.636144x1.636144x1.64x9.992%9.99%16.348%16.3%27-1.000000x-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.623772x1.623772x1.62x0.943%0.94%1.531%1.53%28-1.000000x-1.000000x1.622133x1.622133x1.62x6.534%6.53%10.599%10.6%29-1.000000x-1.000000x1.596146x1.596146x1.60x2.524%2.52%4.029%4.03%30-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%-1.000000x-1.000000x1.591763x1.591763x1.59x2.523%2.52%4.015%4.02%31-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%32-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.485812x1.485812x1.49x2.459%2.46%3.654%3.65%33-1.000000x-1.000000x1.468207x1.468207x1.47x3.925%3.93%5.763%5.76%34-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%35-1.000000x-1.000000x1.365883x1.365883x1.37x2.588%2.59%3.535%3.53%36-1.000000x-1.000000x1.293502x1.293502x1.29x0.895%0.89%1.158%1.16%37-1.000000x-1.000000x1.292650x1.292650x1.29x1.780%1.78%2.301%2.30%38-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%39-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%40-1.000000x-1.000000x1.164008x1.164008x1.16x3.462%3.46%4.030%4.03%41-1.000000x-1.000000x1.092916x1.092916x1.09x1.788%1.79%1.954%1.95%42-1.000000x-1.000000x1.034381x1.034381x1.03x2.712%2.71%2.805%2.81%43-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%44-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%45-1.301386x-1.301386x1.30x1.000000x1.000000x0.849%0.85%0.652%0.65%46-1.407989x-1.407989x1.41x1.000000x1.000000x1.328%1.33%0.943%0.94%47-1.511966x-1.511966x1.51x1.000000x1.000000x2.977%2.98%1.969%1.97%48-1.536489x-1.536489x1.54x1.000000x1.000000x3.216%3.22%2.093%2.09%49-2.396983x-2.396983x2.40x1.000000x1.000000x3.345%3.34%1.395%1.40%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 Pennsylvania

There are 2,574 county subdivisions in Pennsylvania. This section compares the Ohio Township to the 50 most populous county subdivisions in Pennsylvania 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 27,333.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ohio Township, selected other county subdivisions in Pennsylvania, and entities that contain the Ohio Township
0%10%20%30%Count#ReadingLancasterAllentownYorkHarrisburgChesterNorristownPhiladelphiaWilkes-BarreScrantonUnited States of AmericaUnited StatesErieWilliamsportBethlehemMiddle AtlanticBristol TownshipBristolNortheastAltoonaUpper Darby TownshipUpper DarbyPennsylvaniaWarminster TownshipWarminsterYork TownshipBensalem TownshipBensalemRidley TownshipRidleyManheim TownshipManheimPittsburghFalls TownshipFallsHempfield TownshipHempfieldPittsburgh Metro AreaPittsburghPenn Hills TownshipPenn HlsLower Paxton TownshipLower PaxtonSpring TownshipSpgAllegheny CountyAlleghenyLower Macungie TownshipLower MacungieHampden TownshipHampdenRoss TownshipShaler TownshipShalerMillcreek TownshipMillcreekMiddletown TownshipMiddletownAbington TownshipAbington437000Tract 437000Ohio TownshipMonroevillePlumUpper Merion TownshipUpper MerionAvonworth School DistrictAvonworthCheltenham TownshipCheltenhamBethel ParkNorth Huntingdon TownshipN HuntingdonMcCandless TownshipMcCandlessHaverford TownshipHaverfordNorthampton TownshipNorthamptonCranberry TownshipCranberryState CollegeLower Merion TownshipLower MerionRadnor TownshipRadnorLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrin34.584042%34.584042%34.6%17,27317.3k124.307408%24.307408%24.3%8,932221.725192%21.725192%21.7%15,92515.9k321.603181%21.603181%21.6%5,541421.226461%21.226461%21.2%6,504520.735207%20.735207%20.7%4,191619.454765%19.454765%19.5%4,346717.390838%17.390838%17.4%180,039180k816.790421%16.790421%16.8%4,319915.146168%15.146168%15.1%7,5541013.020590%13.020590%13.0%27,818,38027.8M12.909782%12.909782%12.9%8,3841112.811733%12.811733%12.8%2,2451212.551332%12.551332%12.6%4,2791312.313400%12.313400%12.3%3,505,1913.51M12.060100%12.060100%12.1%4,5031411.614335%11.614335%11.6%4,487,0854.49M10.743639%10.743639%10.7%3,2811510.463617%10.463617%10.5%5,7621610.459911%10.459911%10.5%925,686926k9.749015%9.749015%9.7%2,350178.805520%8.805520%8.8%1,812188.506291%8.506291%8.5%3,664198.175269%8.175269%8.2%1,793208.116386%8.116386%8.1%2,279218.043576%8.043576%8.0%16,40616.4k227.248333%7.248333%7.2%1,718237.148505%7.148505%7.1%2,260247.130926%7.130926%7.1%120,640121k6.765076%6.765076%6.8%2,099256.244529%6.244529%6.2%2,140266.213218%6.213218%6.2%1,193276.132273%6.132273%6.1%53,97454.0k6.020431%6.020431%6.0%1,326285.958474%5.958474%6.0%1,234295.637439%5.637439%5.6%1,354305.338744%5.338744%5.3%1,171315.198402%5.198402%5.2%1,952325.180883%5.180883%5.2%1,677335.076142%5.076142%5.1%2,000344.955064%4.955064%5.0%2044.955064%4.955064%5.0%2044.869736%4.869736%4.9%1,043354.837339%4.837339%4.8%968364.625530%4.625530%4.6%982374.569688%4.569688%4.6%3604.539848%4.539848%4.5%1,141384.315126%4.315126%4.3%1,027394.016913%4.016913%4.0%912403.276003%3.276003%3.3%680413.231313%3.231313%3.2%1,060423.210741%3.210741%3.2%880433.194067%3.194067%3.2%646442.970218%2.970218%3.0%373452.533015%2.533015%2.5%1,007462.517303%2.517303%2.5%411471.954874%1.954874%2.0%454481.930306%1.930306%1.9%457491.838552%1.838552%1.8%38450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ohio Township, selected other county subdivisions in Pennsylvania, and entities that contain the Ohio Township
0%20%40%60%Count#Lower Merion TownshipLower MerionTredyffrin TownshipTredyffrinRadnor TownshipRadnorState CollegeLower Makefield TownshipLower MakefieldMount Lebanon TownshipMt Lebanon437000Tract 437000Ohio TownshipMcCandless TownshipMcCandlessCranberry TownshipCranberryUpper Merion TownshipUpper MerionHaverford TownshipHaverfordAvonworth School DistrictAvonworthCheltenham TownshipCheltenhamHampden TownshipHampdenNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieAbington TownshipAbingtonManheim TownshipManheimBethel ParkRoss TownshipPittsburghMillcreek TownshipMillcreekAllegheny CountyAlleghenyMonroevilleMiddletown TownshipMiddletownLower Paxton TownshipLower PaxtonPlumShaler TownshipShalerSpring TownshipSpgNortheastYork TownshipMiddle AtlanticNorth Huntingdon TownshipN HuntingdonPittsburgh Metro AreaPittsburghHempfield TownshipHempfieldUnited States of AmericaUnited StatesUpper Darby TownshipUpper DarbyPennsylvaniaPenn Hills TownshipPenn HlsWarminster TownshipWarminsterBensalem TownshipBensalemBethlehemPhiladelphiaRidley TownshipRidleyFalls TownshipFallsErieScrantonNorristownWilliamsportLancasterHarrisburgAltoonaWilkes-BarreAllentownBristol TownshipBristolYorkChesterReading76.926173%76.926173%76.9%30,58230.6k176.228095%76.228095%76.2%15,92115.9k272.720034%72.720034%72.7%11,87311.9k369.804109%69.804109%69.8%8,766468.941612%68.941612%68.9%16,01116.0k568.861668%68.861668%68.9%16,30316.3k658.877824%58.877824%58.9%2,42458.877824%58.877824%58.9%2,42457.527581%57.527581%57.5%11,94111.9k756.998764%56.998764%57.0%11,52811.5k856.820537%56.820537%56.8%12,06312.1k955.840751%55.840751%55.8%18,31818.3k1054.391978%54.391978%54.4%4,28552.059046%52.059046%52.1%13,08413.1k1150.077257%50.077257%50.1%10,37110.4k1249.916083%49.916083%49.9%13,68113.7k1349.194098%49.194098%49.2%10,83510.8k1446.736041%46.736041%46.7%18,41418.4k1545.621283%45.621283%45.6%12,81012.8k1645.546218%45.546218%45.5%10,84010.8k1743.209260%43.209260%43.2%10,37810.4k1840.731207%40.731207%40.7%83,07783.1k1940.237017%40.237017%40.2%15,10915.1k2039.069581%39.069581%39.1%343,876344k38.668410%38.668410%38.7%8,2822137.980784%37.980784%38.0%12,29412.3k2237.572221%37.572221%37.6%12,87612.9k2336.130128%36.130128%36.1%7,2302436.008024%36.008024%36.0%7,8982535.550232%35.550232%35.6%6,8262634.780899%34.780899%34.8%13,437,26113.4M33.900282%33.900282%33.9%6,9762733.644618%33.644618%33.6%9,577,4379.58M33.487491%33.487491%33.5%7,6032832.546256%32.546256%32.5%550,613551k30.903052%30.903052%30.9%9,7702930.315023%30.315023%30.3%64,767,78764.8M29.462291%29.462291%29.5%16,22416.2k3029.333279%29.333279%29.3%2,595,9502.60M29.058562%29.058562%29.1%9,0163128.131093%28.131093%28.1%6,7813228.042439%28.042439%28.0%12,07912.1k3327.287927%27.287927%27.3%9,3033426.349720%26.349720%26.3%272,786273k3524.895130%24.895130%24.9%5,4603621.774534%21.774534%21.8%5,1613721.735984%21.735984%21.7%14,11614.1k3821.568352%21.568352%21.6%10,75710.8k3921.227450%21.227450%21.2%4,7424019.973749%19.973749%20.0%3,5004119.838894%19.838894%19.8%7,2904218.214158%18.214158%18.2%5,5814316.978290%16.978290%17.0%5,1854415.721339%15.721339%15.7%4,0444515.372023%15.372023%15.4%11,26811.3k4614.443730%14.443730%14.4%5,3934711.708059%11.708059%11.7%3,0034810.315654%10.315654%10.3%2,085499.228151%9.228151%9.2%4,60950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ohio Township, selected other county subdivisions in Pennsylvania, and entities that contain the Ohio Township
0%5%10%15%20%Count#Lower Merion TownshipLower MerionRadnor TownshipRadnorState CollegeMount Lebanon TownshipMt LebanonTredyffrin TownshipTredyffrinLower Makefield TownshipLower MakefieldCheltenham TownshipCheltenham437000Tract 437000Ohio TownshipAvonworth School DistrictAvonworthHaverford TownshipHaverfordPittsburghUpper Merion TownshipUpper MerionMcCandless TownshipMcCandlessNorthampton TownshipNorthamptonLower Macungie TownshipLower MacungieManheim TownshipManheimAbington TownshipAbingtonHampden TownshipHampdenAllegheny CountyAlleghenyMillcreek TownshipMillcreekCranberry TownshipCranberryMonroevilleRoss TownshipBethel ParkNortheastBethlehemMiddle AtlanticYork TownshipPhiladelphiaPittsburgh Metro AreaPittsburghLower Paxton TownshipLower PaxtonUnited States of AmericaUnited StatesMiddletown TownshipMiddletownPennsylvaniaShaler TownshipShalerWilliamsportSpring TownshipSpgLancasterHempfield TownshipHempfieldUpper Darby TownshipUpper DarbyHarrisburgPenn Hills TownshipPenn HlsWarminster TownshipWarminsterScrantonBensalem TownshipBensalemNorth Huntingdon TownshipN HuntingdonAllentownEriePlumNorristownFalls TownshipFallsRidley TownshipRidleyWilkes-BarreAltoonaBristol TownshipBristolYorkChesterReading23.473777%23.473777%23.5%9,332116.665646%16.665646%16.7%2,721216.164994%16.164994%16.2%2,030312.929250%12.929250%12.9%3,061412.252226%12.252226%12.3%2,559511.031691%11.031691%11.0%2,562610.078383%10.078383%10.1%2,53379.861550%9.861550%9.9%4069.861550%9.861550%9.9%4068.390454%8.390454%8.4%6618.331301%8.331301%8.3%2,73387.432194%7.432194%7.4%15,15915.2k97.362223%7.362223%7.4%1,563106.966325%6.966325%7.0%1,446116.443374%6.443374%6.4%1,766126.206583%6.206583%6.2%1,367136.114890%6.114890%6.1%1,717145.997462%5.997462%6.0%2,363155.577016%5.577016%5.6%1,155165.039180%5.039180%5.0%44,35344.4k4.703063%4.703063%4.7%1,766174.697157%4.697157%4.7%950184.440190%4.440190%4.4%951194.221834%4.221834%4.2%1,014204.105042%4.105042%4.1%977214.085016%4.085016%4.1%1,578,2061.58M4.062537%4.062537%4.1%1,385223.884861%3.884861%3.9%1,105,8831.11M3.780737%3.780737%3.8%778233.720350%3.720350%3.7%38,51538.5k243.600869%3.600869%3.6%60,91960.9k3.466589%3.466589%3.5%1,188253.336158%3.336158%3.3%7,127,6737.13M3.333436%3.333436%3.3%1,079263.299391%3.299391%3.3%291,991292k3.250661%3.250661%3.3%713272.750671%2.750671%2.8%482282.708192%2.708192%2.7%520292.514559%2.514559%2.5%924302.479836%2.479836%2.5%784312.458823%2.458823%2.5%1,354322.441174%2.441174%2.4%748332.356013%2.356013%2.4%731341.999585%1.999585%2.0%482351.944901%1.944901%1.9%970361.827088%1.827088%1.8%787371.814658%1.814658%1.8%412381.607050%1.607050%1.6%1,178391.599864%1.599864%1.6%1,039401.544151%1.544151%1.5%309411.383231%1.383231%1.4%309421.147582%1.147582%1.1%272431.025898%1.025898%1.0%225440.940792%0.940792%0.9%242450.903762%0.903762%0.9%276460.838288%0.838288%0.8%313470.814847%0.814847%0.8%209480.549179%0.549179%0.5%111490.454500%0.454500%0.5%22750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Ohio Township, selected other county subdivisions in Pennsylvania, and entities that contain the Ohio Township
Female
Male
2x1x0x1x2xFM#RadnorShalerAltoonaMt LebanonTract 437000Ohio TownshipCheltenhamFallsHempfieldBristolAvonworthChesterWilliamsportUpper DarbyHaverfordNorristownSpgManheimUnited StatesRidleyWilkes-BarrePennsylvaniaPhiladelphiaNortheastHarrisburgYorkLancasterScrantonLower PaxtonMiddle AtlanticAllentownReadingEriePittsburghPlumLower MerionLower MacungieMillcreekPenn HlsLower MakefieldAlleghenyAbingtonMiddletownPittsburghUpper MerionBensalemBethlehemBethel ParkMonroevilleWarminsterHampdenMcCandlessN HuntingdonRoss TownshipNorthamptonYork TownshipState CollegeTredyffrinCranberry-1.000000x-1.000000x2.099713x2.099713x2.10x1.674%1.67%3.514%3.51%1-1.000000x-1.000000x1.552208x1.552208x1.55x4.210%4.21%6.535%6.53%2-1.000000x-1.000000x1.377463x1.377463x1.38x9.131%9.13%12.578%12.6%3-1.000000x-1.000000x1.310561x1.310561x1.31x1.685%1.69%2.208%2.21%4-1.000000x-1.000000x1.304217x1.304217x1.30x4.315%4.31%5.627%5.63%-1.000000x-1.000000x1.304217x1.304217x1.30x4.315%4.31%5.627%5.63%-1.000000x-1.000000x1.302837x1.302837x1.30x3.987%3.99%5.194%5.19%5-1.000000x-1.000000x1.245559x1.245559x1.25x6.496%6.50%8.092%8.09%6-1.000000x-1.000000x1.243946x1.243946x1.24x6.384%6.38%7.942%7.94%7-1.000000x-1.000000x1.234755x1.234755x1.23x10.818%10.8%13.358%13.4%8-1.000000x-1.000000x1.231465x1.231465x1.23x4.112%4.11%5.063%5.06%-1.000000x-1.000000x1.213737x1.213737x1.21x18.847%18.8%22.876%22.9%9-1.000000x-1.000000x1.200927x1.200927x1.20x11.676%11.7%14.021%14.0%10-1.000000x-1.000000x1.170881x1.170881x1.17x9.690%9.69%11.346%11.3%11-1.000000x-1.000000x1.163929x1.163929x1.16x2.997%3.00%3.489%3.49%12-1.000000x-1.000000x1.149116x1.149116x1.15x18.104%18.1%20.803%20.8%13-1.000000x-1.000000x1.138058x1.138058x1.14x5.830%5.83%6.635%6.64%14-1.000000x-1.000000x1.128376x1.128376x1.13x7.656%7.66%8.639%8.64%15-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107613x1.107613x1.11x7.776%7.78%8.613%8.61%16-1.000000x-1.000000x1.098731x1.098731x1.10x16.045%16.0%17.629%17.6%17-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%18-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.074404x1.074404x1.07x20.537%20.5%22.065%22.1%19-1.000000x-1.000000x1.071003x1.071003x1.07x20.882%20.9%22.365%22.4%20-1.000000x-1.000000x1.066005x1.066005x1.07x23.550%23.6%25.105%25.1%21-1.000000x-1.000000x1.060972x1.060972x1.06x14.714%14.7%15.611%15.6%22-1.000000x-1.000000x1.060439x1.060439x1.06x6.073%6.07%6.440%6.44%23-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%24-1.000000x-1.000000x1.035486x1.035486x1.04x34.011%34.0%35.218%35.2%25-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%26-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-1.000000x-1.000000x1.006305x1.006305x1.01x4.823%4.82%4.853%4.85%27-1.000000x-1.000000x1.004780x1.004780x1.00x2.527%2.53%2.540%2.54%28-1.003763x-1.003763x1.00x1.000000x1.000000x6.031%6.03%6.009%6.01%29-1.004148x-1.004148x1.00x1.000000x1.000000x5.209%5.21%5.187%5.19%30-1.008684x-1.008684x1.01x1.000000x1.000000x6.792%6.79%6.733%6.73%31-1.023727x-1.023727x1.02x1.000000x1.000000x1.977%1.98%1.931%1.93%32-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%-1.035622x-1.035622x1.04x1.000000x1.000000x5.160%5.16%4.982%4.98%33-1.052588x-1.052588x1.05x1.000000x1.000000x5.307%5.31%5.042%5.04%34-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%35-1.058332x-1.058332x1.06x1.000000x1.000000x4.754%4.75%4.492%4.49%36-1.071908x-1.071908x1.07x1.000000x1.000000x8.793%8.79%8.203%8.20%37-1.127042x-1.127042x1.13x1.000000x1.000000x13.260%13.3%11.765%11.8%38-1.132717x-1.132717x1.13x1.000000x1.000000x4.563%4.56%4.029%4.03%39-1.138629x-1.138629x1.14x1.000000x1.000000x5.164%5.16%4.535%4.54%40-1.198302x-1.198302x1.20x1.000000x1.000000x10.561%10.6%8.813%8.81%41-1.201433x-1.201433x1.20x1.000000x1.000000x6.467%6.47%5.383%5.38%42-1.270679x-1.270679x1.27x1.000000x1.000000x3.640%3.64%2.864%2.86%43-1.291642x-1.291642x1.29x1.000000x1.000000x4.505%4.51%3.488%3.49%44-1.296113x-1.296113x1.30x1.000000x1.000000x6.295%6.29%4.856%4.86%45-1.483006x-1.483006x1.48x1.000000x1.000000x3.794%3.79%2.558%2.56%46-1.543785x-1.543785x1.54x1.000000x1.000000x10.576%10.6%6.851%6.85%47-1.583597x-1.583597x1.58x1.000000x1.000000x3.691%3.69%2.330%2.33%48-1.864980x-1.864980x1.86x1.000000x1.000000x2.352%2.35%1.261%1.26%49-2.300755x-2.300755x2.30x1.000000x1.000000x4.416%4.42%1.919%1.92%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Ohio Township, selected other county subdivisions in Pennsylvania, and entities that contain the Ohio Township
Female
Male
1x0x1x2x3x4xFM#FallsSpgTract 437000Ohio TownshipChesterLower PaxtonAvonworthHampdenMt LebanonAltoonaHempfieldMillcreekYorkN HuntingdonLower MerionCranberryNorthamptonCheltenhamAllentownYork TownshipHarrisburgWilliamsportBethlehemUpper MerionLower MacungieScrantonAbingtonRoss TownshipRadnorMcCandlessTredyffrinState CollegeReadingPittsburghPennsylvaniaAlleghenyHaverfordManheimMonroevilleUpper DarbyMiddletownUnited StatesLower MakefieldMiddle AtlanticNortheastRidleyPittsburghPhiladelphiaWilkes-BarreBethel ParkShalerErieBensalemWarminsterPlumBristolPenn HlsLancasterNorristown-1.000000x-1.000000x4.527755x4.527755x4.53x0.431%0.43%1.951%1.95%1-1.000000x-1.000000x4.463017x4.463017x4.46x1.023%1.02%4.566%4.57%2-1.000000x-1.000000x3.908089x3.908089x3.91x4.078%4.08%15.936%15.9%-1.000000x-1.000000x3.908089x3.908089x3.91x4.078%4.08%15.936%15.9%-1.000000x-1.000000x2.925530x2.925530x2.93x0.289%0.29%0.845%0.84%3-1.000000x-1.000000x2.577340x2.577340x2.58x1.995%2.00%5.142%5.14%4-1.000000x-1.000000x2.431081x2.431081x2.43x4.968%4.97%12.078%12.1%-1.000000x-1.000000x2.391170x2.391170x2.39x3.375%3.37%8.069%8.07%5-1.000000x-1.000000x2.330320x2.330320x2.33x7.964%7.96%18.560%18.6%6-1.000000x-1.000000x2.275075x2.275075x2.28x0.566%0.57%1.288%1.29%7-1.000000x-1.000000x2.256635x2.256635x2.26x1.534%1.53%3.462%3.46%8-1.000000x-1.000000x2.131062x2.131062x2.13x3.068%3.07%6.537%6.54%9-1.000000x-1.000000x2.096978x2.096978x2.10x0.531%0.53%1.114%1.11%10-1.000000x-1.000000x2.038929x2.038929x2.04x1.211%1.21%2.469%2.47%11-1.000000x-1.000000x2.019563x2.019563x2.02x15.984%16.0%32.281%32.3%12-1.000000x-1.000000x1.978141x1.978141x1.98x3.176%3.18%6.283%6.28%13-1.000000x-1.000000x1.977378x1.977378x1.98x4.409%4.41%8.719%8.72%14-1.000000x-1.000000x1.967952x1.967952x1.97x6.982%6.98%13.741%13.7%15-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%16-1.000000x-1.000000x1.963703x1.963703x1.96x2.593%2.59%5.092%5.09%17-1.000000x-1.000000x1.944570x1.944570x1.94x1.712%1.71%3.329%3.33%18-1.000000x-1.000000x1.936361x1.936361x1.94x1.892%1.89%3.664%3.66%19-1.000000x-1.000000x1.922101x1.922101x1.92x2.827%2.83%5.434%5.43%20-1.000000x-1.000000x1.884402x1.884402x1.88x5.140%5.14%9.687%9.69%21-1.000000x-1.000000x1.837949x1.837949x1.84x4.437%4.44%8.155%8.15%22-1.000000x-1.000000x1.825579x1.825579x1.83x1.392%1.39%2.541%2.54%23-1.000000x-1.000000x1.766814x1.766814x1.77x4.407%4.41%7.786%7.79%24-1.000000x-1.000000x1.750758x1.750758x1.75x3.143%3.14%5.503%5.50%25-1.000000x-1.000000x1.709689x1.709689x1.71x12.575%12.6%21.499%21.5%26-1.000000x-1.000000x1.703524x1.703524x1.70x5.237%5.24%8.922%8.92%27-1.000000x-1.000000x1.674402x1.674402x1.67x9.300%9.30%15.572%15.6%28-1.000000x-1.000000x1.661960x1.661960x1.66x11.969%12.0%19.892%19.9%29-1.000000x-1.000000x1.652203x1.652203x1.65x0.347%0.35%0.573%0.57%30-1.000000x-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%-1.000000x-1.000000x1.591202x1.591202x1.59x6.501%6.50%10.344%10.3%31-1.000000x-1.000000x1.573118x1.573118x1.57x4.820%4.82%7.582%7.58%32-1.000000x-1.000000x1.556689x1.556689x1.56x3.522%3.52%5.482%5.48%33-1.000000x-1.000000x1.529988x1.529988x1.53x1.971%1.97%3.015%3.02%34-1.000000x-1.000000x1.528639x1.528639x1.53x2.662%2.66%4.070%4.07%35-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.504436x1.504436x1.50x8.883%8.88%13.364%13.4%36-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473488x1.473488x1.47x0.837%0.84%1.233%1.23%37-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%38-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%39-1.000000x-1.000000x1.284280x1.284280x1.28x0.830%0.83%1.066%1.07%40-1.000000x-1.000000x1.260941x1.260941x1.26x3.662%3.66%4.617%4.62%41-1.000000x-1.000000x1.215685x1.215685x1.22x2.942%2.94%3.577%3.58%42-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%43-1.000000x-1.000000x1.097790x1.097790x1.10x1.744%1.74%1.915%1.91%44-1.000000x-1.000000x1.069450x1.069450x1.07x1.937%1.94%2.072%2.07%45-1.072148x-1.072148x1.07x1.000000x1.000000x1.595%1.59%1.488%1.49%46-1.167430x-1.167430x1.17x1.000000x1.000000x0.902%0.90%0.772%0.77%47-1.180307x-1.180307x1.18x1.000000x1.000000x2.532%2.53%2.145%2.15%48-1.211423x-1.211423x1.21x1.000000x1.000000x2.748%2.75%2.269%2.27%49-1.361579x-1.361579x1.36x1.000000x1.000000x1.595%1.60%1.172%1.17%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 Northeast

There are 5,785 county subdivisions in the Northeast. This section compares the Ohio Township to the 50 most populous county subdivisions in the Northeast 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 91,133.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Ohio Township, selected other county subdivisions in the Northeast, and entities that contain the Ohio Township
0%5%10%15%20%25%Count#BronxPatersonTown of HartfordHartfordNew BedfordElizabethNewarkProvidenceTown of BridgeportBridgeportSpringfieldAllentownTown of WaterburyWaterburyLynnLowellBrooklynQueensRochesterSyracuseBrocktonTown of RamapoRamapoPhiladelphiaYonkersBuffaloTown of New HavenNew HvnLakewood TownshipLakewoodWorcesterTown of IslipBostonJersey CityUnited States of AmericaUnited StatesManhattanErieManchesterTown of BabylonBabylonMiddle AtlanticNortheastStaten IslandQuincyTown of StamfordStamfordPennsylvaniaTown of HempsteadHempsteadAlbanyWoodbridge TownshipWoodbridgeTown of North HempsteadN HempsteadTown of BrookhavenBrookhavenPittsburghEdison TownshipEdisonToms River TownshipToms RivTown of GreeceGreeceTown of HuntingtonHuntingtonTown of GreenburghGreenburghPittsburgh Metro AreaPittsburghAllegheny CountyAlleghenyCambridgeTown of Oyster BayOyster Bay437000Tract 437000Ohio TownshipTown of AmherstAmherstAvonworth School DistrictAvonworthTown of SmithtownSmithtown28.837398%28.837398%28.8%261,022261k128.603478%28.603478%28.6%26,13726.1k227.891028%27.891028%27.9%20,66020.7k327.365251%27.365251%27.4%17,71917.7k426.935430%26.935430%26.9%21,72121.7k526.717922%26.717922%26.7%47,54047.5k623.799210%23.799210%23.8%25,05225.1k723.641452%23.641452%23.6%22,13122.1k822.848722%22.848722%22.8%21,31921.3k921.725192%21.725192%21.7%15,92515.9k1020.889554%20.889554%20.9%14,52214.5k1120.689714%20.689714%20.7%12,22712.2k1220.275184%20.275184%20.3%14,22014.2k1320.017506%20.017506%20.0%351,046351k1419.344706%19.344706%19.3%315,505316k1519.239011%19.239011%19.2%25,40825.4k1619.000219%19.000219%19.0%16,47316.5k1718.575453%18.575453%18.6%11,40711.4k1817.423749%17.423749%17.4%12,58512.6k1917.390838%17.390838%17.4%180,039180k2016.804756%16.804756%16.8%22,98023.0k2116.749688%16.749688%16.7%27,74127.7k2216.300427%16.300427%16.3%13,24113.2k2316.179368%16.179368%16.2%7,1442415.555125%15.555125%15.6%18,48418.5k2514.649584%14.649584%14.6%32,58832.6k2614.325556%14.325556%14.3%63,64263.6k2714.106563%14.106563%14.1%25,82725.8k2813.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2912.909782%12.909782%12.9%8,3843012.589518%12.589518%12.6%9,6163112.329428%12.329428%12.3%18,13418.1k3212.313400%12.313400%12.3%3,505,1913.51M11.614335%11.614335%11.6%4,487,0854.49M11.118888%11.118888%11.1%36,06336.1k3311.019146%11.019146%11.0%7,6953410.953993%10.953993%11.0%9,8073510.459911%10.459911%10.5%925,686926k10.384134%10.384134%10.4%54,23054.2k3610.256196%10.256196%10.3%6,145379.010786%9.010786%9.0%6,625388.911497%8.911497%8.9%14,26914.3k398.603165%8.603165%8.6%28,07628.1k408.043576%8.043576%8.0%16,40616.4k417.965713%7.965713%8.0%5,836427.603506%7.603506%7.6%4,953437.434661%7.434661%7.4%5,274447.370929%7.370929%7.4%10,45510.5k457.208489%7.208489%7.2%4,660467.130926%7.130926%7.1%120,640121k6.132273%6.132273%6.1%53,97454.0k5.858411%5.858411%5.9%4,275475.758981%5.758981%5.8%11,95012.0k484.955064%4.955064%5.0%2044.955064%4.955064%5.0%2044.592814%4.592814%4.6%3,835494.569688%4.569688%4.6%3604.565854%4.565854%4.6%3,74450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ohio Township, selected other county subdivisions in the Northeast, and entities that contain the Ohio Township
0%20%40%60%Count#CambridgeTown of GreenburghGreenburghManhattan437000Tract 437000Ohio TownshipAvonworth School DistrictAvonworthEdison TownshipEdisonTown of AmherstAmherstTown of North HempsteadN HempsteadTown of HuntingtonHuntingtonTown of Oyster BayOyster BayTown of StamfordStamfordBostonTown of SmithtownSmithtownJersey CityQuincyPittsburghAllegheny CountyAlleghenyTown of HempsteadHempsteadAlbanyNortheastWoodbridge TownshipWoodbridgeTown of New HavenNew HvnBrooklynMiddle AtlanticPittsburgh Metro AreaPittsburghTown of RamapoRamapoTown of BrookhavenBrookhavenYonkersToms River TownshipToms RivStaten IslandQueensUnited States of AmericaUnited StatesWorcesterProvidencePennsylvaniaTown of GreeceGreeceManchesterTown of IslipLakewood TownshipLakewoodSyracusePhiladelphiaTown of BabylonBabylonBuffaloRochesterLowellErieLynnBronxTown of BridgeportBridgeportSpringfieldBrocktonTown of HartfordHartfordNew BedfordAllentownTown of WaterburyWaterburyNewarkElizabethPaterson74.864332%74.864332%74.9%54,63054.6k161.467067%61.467067%61.5%39,73639.7k260.434640%60.434640%60.4%747,953748k358.877824%58.877824%58.9%2,42458.877824%58.877824%58.9%2,42454.391978%54.391978%54.4%4,28554.244922%54.244922%54.2%39,74239.7k454.117365%54.117365%54.1%45,18845.2k553.266008%53.266008%53.3%85,28985.3k650.346515%50.346515%50.3%71,41271.4k748.123874%48.123874%48.1%99,85899.9k847.268483%47.268483%47.3%42,31942.3k946.377869%46.377869%46.4%206,036206k1046.287805%46.287805%46.3%37,95638.0k1144.105197%44.105197%44.1%80,75080.8k1242.147695%42.147695%42.1%29,43329.4k1340.731207%40.731207%40.7%83,07783.1k1439.069581%39.069581%39.1%343,876344k38.767308%38.767308%38.8%202,458202k1537.277810%37.277810%37.3%22,33522.3k1634.780899%34.780899%34.8%13,437,26113.4M34.631340%34.631340%34.6%25,46225.5k1734.235698%34.235698%34.2%27,81027.8k1834.081468%34.081468%34.1%597,685598k1933.644618%33.644618%33.6%9,577,4379.58M32.546256%32.546256%32.5%550,613551k32.475875%32.475875%32.5%23,45723.5k2032.119689%32.119689%32.1%104,821105k2132.032147%32.032147%32.0%43,80343.8k2231.493222%31.493222%31.5%20,51520.5k2331.359684%31.359684%31.4%101,712102k2430.595789%30.595789%30.6%499,006499k2530.315023%30.315023%30.3%64,767,78764.8M29.720018%29.720018%29.7%35,31635.3k2629.442164%29.442164%29.4%30,99231.0k2729.333279%29.333279%29.3%2,595,9502.60M28.513632%28.513632%28.5%20,22720.2k2827.975544%27.975544%28.0%21,36821.4k2927.874579%27.874579%27.9%62,00762.0k3026.896161%26.896161%26.9%11,87611.9k3126.804231%26.804231%26.8%23,23923.2k3226.349720%26.349720%26.3%272,786273k3325.418993%25.418993%25.4%37,38637.4k3425.263101%25.263101%25.3%41,84141.8k3523.661076%23.661076%23.7%31,24831.2k3622.302702%22.302702%22.3%15,64215.6k3721.735984%21.735984%21.7%14,11614.1k3819.566137%19.566137%19.6%11,56311.6k3919.131504%19.131504%19.1%173,169173k4017.869695%17.869695%17.9%16,72816.7k4117.800761%17.800761%17.8%16,60916.6k4217.271084%17.271084%17.3%10,60610.6k4316.703567%16.703567%16.7%12,37312.4k4415.806950%15.806950%15.8%10,23510.2k4515.372023%15.372023%15.4%11,26811.3k4615.070917%15.070917%15.1%10,47710.5k4713.654578%13.654578%13.7%24,29624.3k4811.763247%11.763247%11.8%9,4864910.403055%10.403055%10.4%9,50650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ohio Township, selected other county subdivisions in the Northeast, and entities that contain the Ohio Township
0%5%10%15%Count#CambridgeTown of GreenburghGreenburghManhattanTown of North HempsteadN Hempstead437000Tract 437000Ohio TownshipTown of AmherstAmherstTown of New HavenNew HvnAvonworth School DistrictAvonworthTown of HuntingtonHuntingtonPittsburghBostonTown of Oyster BayOyster BayTown of StamfordStamfordProvidenceTown of SmithtownSmithtownAlbanyEdison TownshipEdisonAllegheny CountyAlleghenyTown of HempsteadHempsteadJersey CitySyracuseNortheastTown of RamapoRamapoTown of BrookhavenBrookhavenMiddle AtlanticPhiladelphiaQuincyPittsburgh Metro AreaPittsburghWorcesterYonkersBrooklynUnited States of AmericaUnited StatesPennsylvaniaBuffaloStaten IslandQueensToms River TownshipToms RivRochesterTown of IslipTown of HartfordHartfordTown of GreeceGreeceWoodbridge TownshipWoodbridgeLakewood TownshipLakewoodLowellManchesterTown of BridgeportBridgeportBronxAllentownTown of BabylonBabylonErieSpringfieldLynnTown of WaterburyWaterburyNew BedfordNewarkElizabethBrocktonPaterson19.696596%19.696596%19.7%14,37314.4k111.932680%11.932680%11.9%7,714210.788423%10.788423%10.8%133,520134k310.319825%10.319825%10.3%16,52416.5k49.861550%9.861550%9.9%4069.861550%9.861550%9.9%4069.511377%9.511377%9.5%7,94258.607551%8.607551%8.6%6,99268.390454%8.390454%8.4%6617.591599%7.591599%7.6%10,76810.8k77.432194%7.432194%7.4%15,15915.2k87.340604%7.340604%7.3%32,61132.6k96.073676%6.073676%6.1%12,60312.6k105.972366%5.972366%6.0%5,347115.846253%5.846253%5.8%6,154125.571951%5.571951%5.6%4,569135.285822%5.285822%5.3%3,167145.170343%5.170343%5.2%3,788155.039180%5.039180%5.0%44,35344.4k4.441262%4.441262%4.4%23,19423.2k164.296365%4.296365%4.3%7,866174.250337%4.250337%4.3%3,685184.085016%4.085016%4.1%1,578,2061.58M4.063465%4.063465%4.1%2,935193.952259%3.952259%4.0%12,89812.9k203.884861%3.884861%3.9%1,105,8831.11M3.720350%3.720350%3.7%38,51538.5k213.698824%3.698824%3.7%2,583223.600869%3.600869%3.6%60,91960.9k3.571519%3.571519%3.6%4,244233.426766%3.426766%3.4%4,686243.384967%3.384967%3.4%59,36259.4k253.336158%3.336158%3.3%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.202492%3.202492%3.2%5,304263.037245%3.037245%3.0%9,851272.756960%2.756960%2.8%44,96545.0k282.735604%2.735604%2.7%1,782292.719873%2.719873%2.7%3,592302.384356%2.384356%2.4%5,304312.259902%2.259902%2.3%1,674322.249852%2.249852%2.2%1,596332.147627%2.147627%2.1%1,579342.040539%2.040539%2.0%901351.961931%1.961931%2.0%1,376361.813278%1.813278%1.8%1,385371.680358%1.680358%1.7%1,573381.664253%1.664253%1.7%15,06415.1k391.607050%1.607050%1.6%1,178401.603220%1.603220%1.6%2,358411.599864%1.599864%1.6%1,039421.501527%1.501527%1.5%1,401431.189570%1.189570%1.2%703441.165166%1.165166%1.2%810451.153668%1.153668%1.2%747461.070628%1.070628%1.1%1,905471.051574%1.051574%1.1%848481.035679%1.035679%1.0%636490.572354%0.572354%0.6%52350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Ohio Township, selected other county subdivisions in the Northeast, and entities that contain the Ohio Township
Female
Male
1x0x1xFM#Tract 437000Ohio TownshipStamfordGreenburghSpringfieldAvonworthNewarkGreeceRamapoBrookhavenBridgeportNew BedfordWorcesterUnited StatesTown of IslipManchesterPennsylvaniaRochesterHempsteadPhiladelphiaHuntingtonNew HvnYonkersSyracuseElizabethNortheastMiddle AtlanticProvidenceBabylonN HempsteadToms RivWaterburyAllentownLynnHartfordErieBronxLakewoodBrooklynPatersonPittsburghStaten IslandAlbanyBrocktonBostonQueensAlleghenyManhattanBuffaloPittsburghOyster BayLowellWoodbridgeJersey CityQuincySmithtownAmherstCambridgeEdison-1.000000x-1.000000x1.304217x1.304217x1.30x4.315%4.31%5.627%5.63%-1.000000x-1.000000x1.304217x1.304217x1.30x4.315%4.31%5.627%5.63%-1.000000x-1.000000x1.289374x1.289374x1.29x9.609%9.61%12.390%12.4%1-1.000000x-1.000000x1.269590x1.269590x1.27x6.408%6.41%8.136%8.14%2-1.000000x-1.000000x1.257718x1.257718x1.26x20.468%20.5%25.743%25.7%3-1.000000x-1.000000x1.231465x1.231465x1.23x4.112%4.11%5.063%5.06%-1.000000x-1.000000x1.160031x1.160031x1.16x24.796%24.8%28.764%28.8%4-1.000000x-1.000000x1.148263x1.148263x1.15x6.949%6.95%7.980%7.98%5-1.000000x-1.000000x1.130956x1.130956x1.13x16.378%16.4%18.523%18.5%6-1.000000x-1.000000x1.130425x1.130425x1.13x8.092%8.09%9.147%9.15%7-1.000000x-1.000000x1.126520x1.126520x1.13x22.316%22.3%25.139%25.1%8-1.000000x-1.000000x1.111286x1.111286x1.11x26.024%26.0%28.920%28.9%9-1.000000x-1.000000x1.110069x1.110069x1.11x14.771%14.8%16.397%16.4%10-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102369x1.102369x1.10x13.961%14.0%15.390%15.4%11-1.000000x-1.000000x1.097386x1.097386x1.10x12.006%12.0%13.176%13.2%12-1.000000x-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-1.000000x-1.000000x1.092586x1.092586x1.09x18.427%18.4%20.133%20.1%13-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%14-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%15-1.000000x-1.000000x1.086755x1.086755x1.09x7.076%7.08%7.690%7.69%16-1.000000x-1.000000x1.085150x1.085150x1.09x15.699%15.7%17.035%17.0%17-1.000000x-1.000000x1.083417x1.083417x1.08x16.184%16.2%17.534%17.5%18-1.000000x-1.000000x1.079690x1.079690x1.08x18.321%18.3%19.780%19.8%19-1.000000x-1.000000x1.077654x1.077654x1.08x25.951%26.0%27.966%28.0%20-1.000000x-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-1.000000x-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-1.000000x-1.000000x1.056204x1.056204x1.06x23.167%23.2%24.469%24.5%21-1.000000x-1.000000x1.052862x1.052862x1.05x12.028%12.0%12.664%12.7%22-1.000000x-1.000000x1.049383x1.049383x1.05x8.711%8.71%9.141%9.14%23-1.000000x-1.000000x1.047109x1.047109x1.05x7.436%7.44%7.786%7.79%24-1.000000x-1.000000x1.047067x1.047067x1.05x20.442%20.4%21.404%21.4%25-1.000000x-1.000000x1.046856x1.046856x1.05x21.252%21.3%22.248%22.2%26-1.000000x-1.000000x1.040899x1.040899x1.04x20.290%20.3%21.120%21.1%27-1.000000x-1.000000x1.039426x1.039426x1.04x27.388%27.4%28.468%28.5%28-1.000000x-1.000000x1.033360x1.033360x1.03x12.706%12.7%13.130%13.1%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.022095x1.022095x1.02x16.005%16.0%16.358%16.4%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.016806x1.016806x1.02x28.378%28.4%28.855%28.9%33-1.000000x-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-1.000000x-1.000000x1.004211x1.004211x1.00x11.097%11.1%11.144%11.1%34-1.015553x-1.015553x1.02x1.000000x1.000000x10.330%10.3%10.172%10.2%35-1.016098x-1.016098x1.02x1.000000x1.000000x18.712%18.7%18.416%18.4%36-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%37-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%38-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%39-1.048932x-1.048932x1.05x1.000000x1.000000x17.120%17.1%16.322%16.3%40-1.054084x-1.054084x1.05x1.000000x1.000000x8.249%8.25%7.826%7.83%41-1.065498x-1.065498x1.07x1.000000x1.000000x5.933%5.93%5.568%5.57%42-1.082021x-1.082021x1.08x1.000000x1.000000x21.048%21.0%19.452%19.5%43-1.092845x-1.092845x1.09x1.000000x1.000000x9.423%9.42%8.623%8.62%44-1.106483x-1.106483x1.11x1.000000x1.000000x14.808%14.8%13.383%13.4%45-1.113634x-1.113634x1.11x1.000000x1.000000x11.579%11.6%10.397%10.4%46-1.188832x-1.188832x1.19x1.000000x1.000000x4.943%4.94%4.158%4.16%47-1.191205x-1.191205x1.19x1.000000x1.000000x4.962%4.96%4.165%4.17%48-1.302480x-1.302480x1.30x1.000000x1.000000x6.597%6.60%5.065%5.06%49-1.377298x-1.377298x1.38x1.000000x1.000000x9.172%9.17%6.659%6.66%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Ohio Township, selected other county subdivisions in the Northeast, and entities that contain the Ohio Township
Female
Male
1x0x1x2x3xFM#Tract 437000Ohio TownshipLakewoodAvonworthAllentownToms RivWoodbridgeSmithtownHuntingtonBrookhavenAmherstStamfordOyster BayGreenburghManchesterPittsburghPennsylvaniaAlleghenyElizabethBuffaloNew BedfordN HempsteadSyracuseEdisonUnited StatesMiddle AtlanticHempsteadNortheastRamapoAlbanyGreeceHartfordQuincyRochesterPittsburghPhiladelphiaProvidenceBridgeportQueensCambridgeLowellBrooklynManhattanPatersonStaten IslandBostonSpringfieldWaterburyErieLynnBronxTown of IslipJersey CityBabylonNew HvnYonkersNewarkWorcesterBrockton-1.000000x-1.000000x3.908089x3.908089x3.91x4.078%4.08%15.936%15.9%-1.000000x-1.000000x3.908089x3.908089x3.91x4.078%4.08%15.936%15.9%-1.000000x-1.000000x2.794240x2.794240x2.79x1.082%1.08%3.024%3.02%1-1.000000x-1.000000x2.431081x2.431081x2.43x4.968%4.97%12.078%12.1%-1.000000x-1.000000x1.966185x1.966185x1.97x1.102%1.10%2.166%2.17%2-1.000000x-1.000000x1.866111x1.866111x1.87x1.933%1.93%3.608%3.61%3-1.000000x-1.000000x1.800589x1.800589x1.80x1.521%1.52%2.738%2.74%4-1.000000x-1.000000x1.796128x1.796128x1.80x4.030%4.03%7.238%7.24%5-1.000000x-1.000000x1.783986x1.783986x1.78x5.517%5.52%9.842%9.84%6-1.000000x-1.000000x1.779979x1.779979x1.78x2.869%2.87%5.106%5.11%7-1.000000x-1.000000x1.771370x1.771370x1.77x7.007%7.01%12.411%12.4%8-1.000000x-1.000000x1.765297x1.765297x1.77x4.359%4.36%7.695%7.69%9-1.000000x-1.000000x1.747049x1.747049x1.75x4.477%4.48%7.822%7.82%10-1.000000x-1.000000x1.685185x1.685185x1.69x9.057%9.06%15.263%15.3%11-1.000000x-1.000000x1.681608x1.681608x1.68x1.353%1.35%2.276%2.28%12-1.000000x-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%-1.000000x-1.000000x1.556739x1.556739x1.56x0.827%0.83%1.287%1.29%13-1.000000x-1.000000x1.547792x1.547792x1.55x2.553%2.55%3.952%3.95%14-1.000000x-1.000000x1.546996x1.546996x1.55x0.920%0.92%1.424%1.42%15-1.000000x-1.000000x1.545980x1.545980x1.55x8.227%8.23%12.719%12.7%16-1.000000x-1.000000x1.539638x1.539638x1.54x3.397%3.40%5.230%5.23%17-1.000000x-1.000000x1.526951x1.526951x1.53x4.127%4.13%6.301%6.30%18-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%19-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.473331x1.473331x1.47x3.302%3.30%4.864%4.86%20-1.000000x-1.000000x1.463655x1.463655x1.46x4.342%4.34%6.355%6.35%21-1.000000x-1.000000x1.440372x1.440372x1.44x1.863%1.86%2.684%2.68%22-1.000000x-1.000000x1.439109x1.439109x1.44x1.876%1.88%2.700%2.70%23-1.000000x-1.000000x1.422215x1.422215x1.42x3.082%3.08%4.384%4.38%24-1.000000x-1.000000x1.407741x1.407741x1.41x2.278%2.28%3.207%3.21%25-1.000000x-1.000000x1.398688x1.398688x1.40x6.228%6.23%8.711%8.71%26-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%27-1.000000x-1.000000x1.338337x1.338337x1.34x5.022%5.02%6.721%6.72%28-1.000000x-1.000000x1.315069x1.315069x1.32x1.464%1.46%1.925%1.93%29-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%30-1.000000x-1.000000x1.275829x1.275829x1.28x17.386%17.4%22.181%22.2%31-1.000000x-1.000000x1.264337x1.264337x1.26x1.739%1.74%2.199%2.20%32-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%33-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%34-1.000000x-1.000000x1.231387x1.231387x1.23x0.516%0.52%0.635%0.64%35-1.000000x-1.000000x1.229783x1.229783x1.23x2.740%2.74%3.370%3.37%36-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%37-1.000000x-1.000000x1.213642x1.213642x1.21x1.369%1.37%1.662%1.66%38-1.000000x-1.000000x1.211475x1.211475x1.21x1.061%1.06%1.285%1.29%39-1.000000x-1.000000x1.210953x1.210953x1.21x1.452%1.45%1.759%1.76%40-1.000000x-1.000000x1.204417x1.204417x1.20x1.083%1.08%1.304%1.30%41-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%42-1.000000x-1.000000x1.168032x1.168032x1.17x2.206%2.21%2.576%2.58%43-1.000000x-1.000000x1.165264x1.165264x1.17x3.973%3.97%4.630%4.63%44-1.000000x-1.000000x1.157113x1.157113x1.16x1.492%1.49%1.726%1.73%45-1.000000x-1.000000x1.135572x1.135572x1.14x8.112%8.11%9.212%9.21%46-1.000000x-1.000000x1.127265x1.127265x1.13x3.237%3.24%3.649%3.65%47-1.000000x-1.000000x1.113365x1.113365x1.11x1.015%1.01%1.130%1.13%48-1.000000x-1.000000x1.051874x1.051874x1.05x3.484%3.48%3.665%3.67%49-1.041380x-1.041380x1.04x1.000000x1.000000x1.055%1.06%1.013%1.01%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 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#30

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 FranciscoMiddle AtlanticTucsonAlbuquerqueNortheastTownship 1:Charlotte1, CharlotteColumbusTulsaPennsylvaniaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadNorthwest HarrisNW HarrisWashingtonAtlantaSeattleNortheast TarrantNE TarrantPittsburgh Metro AreaPittsburghAllegheny CountyAlleghenyPlano437000Tract 437000Ohio TownshipSeattle EastAvonworth School DistrictAvonworth28.998944%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%84,02484.0k3612.313400%12.313400%12.3%3,505,1913.51M12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.614335%11.614335%11.6%4,487,0854.49M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.459911%10.459911%10.5%925,686926k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.130926%7.130926%7.1%120,640121k6.132273%6.132273%6.1%53,97454.0k5.714681%5.714681%5.7%20,64420.6k494.955064%4.955064%5.0%2044.955064%4.955064%5.0%2044.913852%4.913852%4.9%20,32620.3k504.569688%4.569688%4.6%360
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Ohio Township, selected other county subdivisions in the United States, and entities that contain the Ohio Township
0%20%40%60%Count#Manhattan437000Tract 437000Ohio TownshipSeattle EastWashingtonSan FranciscoAvonworth School DistrictAvonworthPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteAllegheny CountyAlleghenyTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoNortheastColumbusLos AngelesBrooklynMiddle AtlanticSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerquePittsburgh Metro AreaPittsburghTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimorePennsylvaniaLong Beach-LakewoodLong Bch-LakewoodPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k158.877824%58.877824%58.9%2,42458.877824%58.877824%58.9%2,42457.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.391978%54.391978%54.4%4,28554.142756%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%223,068223k1239.069581%39.069581%39.1%343,876344k38.767308%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%669,666670k1734.780899%34.780899%34.8%13,437,26113.4M34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.644618%33.644618%33.6%9,577,4379.58M33.231104%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%140,967141k2432.546256%32.546256%32.5%550,613551k32.512191%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%125,423125k3129.333279%29.333279%29.3%2,595,9502.60M29.113198%29.113198%29.1%109,693110k3228.760152%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%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Ohio Township, selected other county subdivisions in the United States, and entities that contain the Ohio Township
0%5%10%Count#WashingtonManhattan437000Tract 437000Ohio TownshipAvonworth School DistrictAvonworthSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinAllegheny CountyAlleghenyBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaNortheastMiamiMiddle AtlanticNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyPittsburgh Metro AreaPittsburghTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesPennsylvaniaTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest 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%133,520134k29.861550%9.861550%9.9%4069.861550%9.861550%9.9%4068.390454%8.390454%8.4%6617.558053%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%28,95529.0k115.039180%5.039180%5.0%44,35344.4k4.934352%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%19,24719.2k194.085016%4.085016%4.1%1,578,2061.58M4.025531%4.025531%4.0%27,61827.6k203.884861%3.884861%3.9%1,105,8831.11M3.827408%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%45,61045.6k253.600869%3.600869%3.6%60,91960.9k3.490252%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%7,127,6737.13M3.299391%3.299391%3.3%291,991292k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893233%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%15,54715.5k402.324315%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#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Ohio Township, selected other county subdivisions in the United States, and entities that contain the Ohio Township
Female
Male
1x0x1xFM#Tract 437000Ohio Township1, CharlotteDetroitAvonworthBaltimoreTulsaSW DallasFresnoMilwaukeeUnited StatesNE DallasHoustonPennsylvaniaHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinNortheastAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonMiddle AtlanticSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynPittsburghSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiAlleghenyManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.304217x1.304217x1.30x4.315%4.31%5.627%5.63%-1.000000x-1.000000x1.304217x1.304217x1.30x4.315%4.31%5.627%5.63%-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-1.000000x1.231465x1.231465x1.23x4.112%4.11%5.063%5.06%-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-1.000000x1.127206x1.127206x1.13x20.830%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-1.000000x1.094514x1.094514x1.09x10.006%10.0%10.952%11.0%-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-1.000000x1.074442x1.074442x1.07x11.216%11.2%12.051%12.1%-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-1.000000x1.059800x1.059800x1.06x11.972%12.0%12.688%12.7%-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-1.000000x1.015146x1.015146x1.02x7.080%7.08%7.187%7.19%-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%42-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Ohio Township, selected other county subdivisions in the United States, and entities that contain the Ohio Township
Female
Male
1x0x1x2x3xFM#Tract 437000Ohio TownshipAvonworthEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixPittsburghPennsylvaniaTucson1, CharlotteAlleghenyNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseMiddle AtlanticHempsteadNortheastFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x3.908089x3.908089x3.91x4.078%4.08%15.936%15.9%-1.000000x-1.000000x3.908089x3.908089x3.91x4.078%4.08%15.936%15.9%-1.000000x-1.000000x2.431081x2.431081x2.43x4.968%4.97%12.078%12.1%-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-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.634496x1.634496x1.63x2.765%2.77%4.520%4.52%-1.000000x-1.000000x1.629829x1.629829x1.63x2.534%2.53%4.130%4.13%-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-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.502828x1.502828x1.50x3.134%3.13%4.710%4.71%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.486326x1.486326x1.49x3.316%3.32%4.929%4.93%-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
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:
Pennsylvania
County:
Allegheny
Metro Area:
Pittsburgh Area
ZIP Codes:
15143, 15202, 15237
Unified School District:
Avonworth
Congressional District:
PA-12
State Senate District:
PA-37
State House District:
PA-44
Neighboring Boroughs:
Franklin Park, Sewickley Hills
Neighboring Townships:
Aleppo, Kilbuck, Ross
Nearby Townships:
Neville