Educational Attainment in the Wayne Township, Butler County, Ohio (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Butler County and the Wayne Township
Wayne Township
Butler County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma220.424242%36.837502%20.424242%20.4%67464.575758%52.848469%64.575758%64.6%2,13115.000000%10.314030%15.000000%15.0%495

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Butler County at large.
Scope: population of Butler County and the Wayne Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-44.555843%-44.555843%-44.6%20.424%20.4%36.838%36.8%22.190405%22.190405%+22.2%64.576%64.6%52.848%52.8%45.432975%45.432975%+45.4%15.000%15.0%10.314%10.3%

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Butler County and the Wayne Township
Wayne Township
Butler County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.181818%1.422973%0.181818%0.2%60.333333%1.022236%0.333333%0.3%114.121212%7.883538%4.121212%4.1%13610.727273%18.805611%10.727273%10.7%3545.060606%7.703144%5.060606%5.1%16719.666667%19.545692%19.666667%19.7%64944.909091%33.302777%44.909091%44.9%1,48212.515152%7.275915%12.515152%12.5%4131.363636%2.200898%1.363636%1.4%451.121212%0.837216%1.121212%1.1%37

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Butler County at large.
Scope: population of Butler County and the Wayne Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-87.222652%-87.222652%-87.2%0.182%0.18%1.423%1.42%-67.391746%-67.391746%-67.4%0.333%0.33%1.022%1.02%-47.723827%-47.723827%-47.7%4.121%4.12%7.884%7.88%-42.957064%-42.957064%-43.0%10.727%10.7%18.806%18.8%-34.304665%-34.304665%-34.3%5.061%5.06%7.703%7.70%0.618935%0.618935%+0.6%19.667%19.7%19.546%19.5%34.850889%34.850889%+34.9%44.909%44.9%33.303%33.3%72.007930%72.007930%+72.0%12.515%12.5%7.276%7.28%-38.041824%-38.041824%-38.0%1.364%1.36%2.201%2.20%33.921495%33.921495%+33.9%1.121%1.12%0.837%0.84%

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 Butler County and the Wayne Township
More Females More Males
Butler County
Wayne Township
40%20%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-40.408085%-3.657681%-40.408085%40%23.804%23.8%16.953%17.0%6.732187%1.709537%6.732187%7%62.500%62.5%66.708%66.7%19.296589%4.215715%19.296589%19%13.696%13.7%16.339%16.3%

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 Butler County and the Wayne Township
More Females More Males
Butler County
Wayne Township
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None2.702703%102.389969%2.702703%3%0.179%0.18%0.184%0.18%-1,000.000000%-1,000.000000%> 1000%53.609836%0.658%0.66%0.000%0%-7.047562%42.342342%42.342342%42%3.409%3.41%4.853%4.85%-1.871007%-1.871007%2%4.969892%10.825%10.8%10.627%10.6%-576.942356%-51.113761%-576.942356%577%8.732%8.73%1.290%1.29%-58.470062%-1.196447%-58.470062%58%24.043%24.0%15.172%15.2%34.008659%3.444740%34.008659%34%38.457%38.5%51.536%51.5%29.079900%4.066709%29.079900%29%10.945%10.9%14.128%14.1%-33.240997%-33.240997%33%0.120346%1.555%1.56%1.167%1.17%-14.551084%-14.551084%15%17.242522%1.196%1.20%1.044%1.04%

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Butler County and the Wayne Township
Wayne Township
Butler County
0%5%10%15%20%B.X.Total65+45-6435-4425-3412.331839%13.085914%12.331839%12.3%1108929.432799%18.992648%9.432799%9.4%1531,62210.061602%21.123904%10.061602%10.1%4948714.046823%22.382622%14.046823%14.0%42299

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Butler County at large.
Scope: population of Butler County and the Wayne Township
50%40%30%20%10%0%%ref.65+45-6435-4425-34-5.762495%-5.762495%5.8%12.332%12.3%13.086%13.1%-50.334473%-50.334473%50.3%9.433%9.43%18.993%19.0%-52.368646%-52.368646%52.4%10.062%10.1%21.124%21.1%-37.242283%-37.242283%37.2%14.047%14.0%22.383%22.4%

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 Butler County and the Wayne Township
More Females More Males
Butler County
Wayne Township
800%600%400%200%0%FM65+45-6435-4425-3475.559850%46.038913%75.559850%75.6%8.858%8.86%15.551%15.6%46.785714%10.915981%46.785714%46.8%7.664%7.66%11.250%11.3%-339.857651%-9.250884%-339.857651%339.9%14.947%14.9%3.398%3.40%-978.928571%-22.342565%-978.928571%978.9%27.143%27.1%2.516%2.52%

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Butler County and the Wayne Township
Wayne Township
Butler County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$47,396.000000$69,721.000000$47,396.000000$47.4k1534.636%4.64%$51,723.000000$55,337.000000$51,723.000000$51.7k35410.727%10.7%$31,506.000000$36,976.000000$31,506.000000$31.5k81624.727%24.7%$40,861.000000$30,908.000000$40,861.000000$40.9k1,48244.909%44.9%$39,388.000000$39,132.000000$39,388.000000$39.4k3,300100.000%100%

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Butler County and the Wayne Township
Female Male
Butler County
Wayne Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-50,574.000000$-41,589.000000$-50,574.000000$50.6k$50,574.000000$10,805.000000$41,589.000000$29,953.000000$61,379.000000$61.4k181173$-24,531.000000$-30,833.000000$-24,531.000000$24.5k$24,531.000000$19,469.000000$30,833.000000$14,402.000000$44,000.000000$44.0k548268$-27,131.000000$-23,816.000000$-27,131.000000$27.1k$27,131.000000$16,262.000000$23,816.000000$13,389.000000$43,393.000000$43.4k643839$-26,688.000000$-31,498.000000$-26,688.000000$26.7k$26,688.000000$17,223.000000$31,498.000000$15,745.000000$43,911.000000$43.9k1,6721,628

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 Butler County and the Wayne Township
Wayne Township
Butler County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma379.948586%84.936759%79.948586%79.9%31175.105485%78.863712%75.105485%75.1%53475.182482%70.016973%75.182482%75.2%82453.301887%48.538012%53.301887%53.3%113

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Butler County and the Wayne Township
Female Male
Butler County
Wayne Township
Shaded bar tips show excess over facing bar.
15%10%5%0%5%10%15%MFWhite1-15.006553%-9.368173%-15.006553%15.0%15.006553%1.332513%9.368173%0.150829%16.339066%16.3%266229

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Butler County and the Wayne Township
Female Male
Butler County
Wayne Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%MFWhite1-14.809961%-28.318267%-14.809961%14.8%14.809961%0.853430%28.318267%2.168033%15.663391%15.7%255226

Educational Attainment by County Subdivision in the Cincinnati Area

There are 153 county subdivisions in the Cincinnati Area. This section compares the Wayne Township to the 50 most populous county subdivisions in the Cincinnati Area and to those entities that contain or substantially overlap with the Wayne Township. The least populous of the compared county subdivisions has a population of 9,645.

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 Wayne Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Wayne Township
0%5%10%15%Count#Williamstown-Dry RidgeWilliamstown-Dry …MiddletownTurtlecreek TownshipTurtlecreekNorwoodHamiltonGoshen TownshipGoshen010301Tract 010301Wayne TownshipWayneFranklin TownshipFranklinCincinnatiSpringdaleUnited States of AmericaUnited StatesReadingBatavia TownshipBataviaForest ParkColerain TownshipColerainNewport-Fort ThomasNewport-Fort Thom…East North CentralIndependenceOhioLawrenceburg TownshipLawrenceburgCovingtonButler CountyButlerMidwestTrentonCincinnati Metro AreaCincinnatiLemon TownshipLemonFlorenceFairfieldUnion TownshipUnionOxford TownshipOxfordSharonvilleDelhi TownshipDelhiSpringfield TownshipSpringfieldBurlingtonHarrison TownshipHarrisonLebanonMiami TownshipMiamiAlexandriaWaltonSycamore TownshipSycamoreMiller TownshipMillerPierce TownshipPierceGreen TownshipGrnWest Chester TownshipW ChesterLovelandMiami TownshipMiamiLiberty TownshipLibertyHamilton TownshipHamiltonFairfield TownshipFairfieldBlue AshHebronAnderson TownshipAndersonDeerfield TownshipDeerfieldClear Creek TownshipClear CrkMasonSymmes TownshipSymmesMontgomery19.584570%19.584570%19.6%1,914118.211726%18.211726%18.2%5,591216.037736%16.037736%16.0%1,836316.030240%16.030240%16.0%2,078415.293656%15.293656%15.3%6,234515.251718%15.251718%15.3%1,642615.000000%15.000000%15.0%49515.000000%15.000000%15.0%49514.325856%14.325856%14.3%3,008713.761583%13.761583%13.8%26,28626.3k813.402200%13.402200%13.4%999913.020590%13.020590%13.0%27,818,38027.8M12.480718%12.480718%12.5%8901011.524425%11.524425%11.5%1,8001110.900938%10.900938%10.9%1,3371210.847918%10.847918%10.8%4,3141310.750959%10.750959%10.8%5,0151410.719464%10.719464%10.7%3,363,7843.36M10.657293%10.657293%10.7%3,0321510.514146%10.514146%10.5%825,155825k10.500723%10.500723%10.5%7991610.452332%10.452332%10.5%7,9861710.314030%10.314030%10.3%24,52824.5k10.244520%10.244520%10.2%4,641,8354.64M10.022156%10.022156%10.0%769189.940523%9.940523%9.9%141,727142k9.225966%9.225966%9.2%857198.943345%8.943345%8.9%3,989208.712972%8.712972%8.7%2,559218.597523%8.597523%8.6%2,777228.275675%8.275675%8.3%610237.943026%7.943026%7.9%619247.596086%7.596086%7.6%1,506257.516812%7.516812%7.5%1,822267.483438%7.483438%7.5%915277.287530%7.287530%7.3%734286.881451%6.881451%6.9%880296.874486%6.874486%6.9%752306.852638%6.852638%6.9%678316.823028%6.823028%6.8%896326.662846%6.662846%6.7%930336.253006%6.253006%6.3%390345.888155%5.888155%5.9%597355.804316%5.804316%5.8%2,402365.727981%5.727981%5.7%2,390375.681479%5.681479%5.7%381385.628396%5.628396%5.6%1,554395.136204%5.136204%5.1%1,169404.830743%4.830743%4.8%802414.741951%4.741951%4.7%679424.283979%4.283979%4.3%388433.526057%3.526057%3.5%408443.351036%3.351036%3.4%978453.293195%3.293195%3.3%815463.167093%3.167093%3.2%656472.512136%2.512136%2.5%533482.504472%2.504472%2.5%252492.279594%2.279594%2.3%16650

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 Wayne Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Wayne Township
0%20%40%60%Count#MontgomerySymmes TownshipSymmesMasonDeerfield TownshipDeerfieldAnderson TownshipAndersonBlue AshOxford TownshipOxfordHamilton TownshipHamiltonLiberty TownshipLibertyClear Creek TownshipClear CrkWest Chester TownshipW ChesterSycamore TownshipSycamoreMiami TownshipMiamiSharonvilleLovelandHebronWaltonPierce TownshipPierceCincinnatiMiami TownshipMiamiGreen TownshipGrnSpringdaleNewport-Fort ThomasNewport-Fort Thom…Cincinnati Metro AreaCincinnatiCovingtonUnited States of AmericaUnited StatesAlexandriaFairfield TownshipFairfieldSpringfield TownshipSpringfieldUnion TownshipUnionLebanonButler CountyButlerMidwestEast North CentralNorwoodFairfieldFlorenceLemon TownshipLemonDelhi TownshipDelhiForest ParkMiller TownshipMillerIndependenceBurlingtonOhioBatavia TownshipBataviaTurtlecreek TownshipTurtlecreekHarrison TownshipHarrisonColerain TownshipColerainReadingLawrenceburg TownshipLawrenceburgMiddletownGoshen TownshipGoshen010301Tract 010301Wayne TownshipWayneHamiltonTrentonFranklin TownshipFranklinWilliamstown-Dry RidgeWilliamstown-Dry …69.101895%69.101895%69.1%5,032165.056649%65.056649%65.1%6,546259.329783%59.329783%59.3%12,58812.6k357.851139%57.851139%57.9%14,31714.3k456.039061%56.039061%56.0%16,35516.4k555.415701%55.415701%55.4%5,019655.026455%55.026455%55.0%4,056751.282978%51.282978%51.3%8,514850.549209%50.549209%50.5%11,50511.5k949.152706%49.152706%49.2%10,18110.2k1047.424805%47.424805%47.4%19,78819.8k1147.406505%47.406505%47.4%6,6171242.654835%42.654835%42.7%11,77711.8k1339.830617%39.830617%39.8%3,1041439.114226%39.114226%39.1%2,6231538.976752%38.976752%39.0%4,5101637.823637%37.823637%37.8%4,9671737.114114%37.114114%37.1%3,7631833.783048%33.783048%33.8%64,52964.5k1933.348569%33.348569%33.3%3,6482032.914482%32.914482%32.9%13,62113.6k2132.130400%32.130400%32.1%2,3952231.967758%31.967758%32.0%14,91214.9k2331.723093%31.723093%31.7%452,292452k30.669860%30.669860%30.7%23,43323.4k2430.315023%30.315023%30.3%64,767,78764.8M30.220336%30.220336%30.2%2,9902529.701795%29.701795%29.7%4,2532629.700070%29.700070%29.7%7,1992729.613003%29.613003%29.6%9,5652829.222709%29.222709%29.2%3,7372929.134358%29.134358%29.1%69,28569.3k28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.257348%28.257348%28.3%3,6633028.219271%28.219271%28.2%8,2883128.152815%28.152815%28.2%12,55712.6k3228.097750%28.097750%28.1%2,6103328.018763%28.018763%28.0%5,5553427.215654%27.215654%27.2%3,3383527.112394%27.112394%27.1%1,6913627.089631%27.089631%27.1%7,7073726.915842%26.915842%26.9%3,2913826.667466%26.667466%26.7%2,092,8752.09M25.059223%25.059223%25.1%3,9143924.406010%24.406010%24.4%2,7944022.656871%22.656871%22.7%2,2824121.665661%21.665661%21.7%8,6164220.333754%20.333754%20.3%1,4504318.202129%18.202129%18.2%1,3854416.631922%16.631922%16.6%5,1064516.384915%16.384915%16.4%1,7644615.363636%15.363636%15.4%50715.363636%15.363636%15.4%50715.075315%15.075315%15.1%6,1454714.779096%14.779096%14.8%1,1344814.178216%14.178216%14.2%2,9774912.872199%12.872199%12.9%1,25850

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 Wayne Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Wayne Township
0%5%10%15%Count#Oxford TownshipOxfordMontgomerySymmes TownshipSymmesBlue AshAnderson TownshipAndersonMasonClear Creek TownshipClear CrkSycamore TownshipSycamoreCincinnatiHamilton TownshipHamiltonDeerfield TownshipDeerfieldSharonvilleWest Chester TownshipW ChesterWaltonNewport-Fort ThomasNewport-Fort Thom…Liberty TownshipLibertyUnited States of AmericaUnited StatesPierce TownshipPierceHebronCincinnati Metro AreaCincinnatiCovingtonMiami TownshipMiamiMidwestEast North CentralOhioMiami TownshipMiamiFairfield TownshipFairfieldGreen TownshipGrnButler CountyButlerSpringfield TownshipSpringfieldIndependenceFlorenceNorwoodAlexandriaMiller TownshipMillerBatavia TownshipBataviaColerain TownshipColerainDelhi TownshipDelhiBurlingtonFairfieldLovelandSpringdaleWilliamstown-Dry RidgeWilliamstown-Dry …Forest ParkLebanonLemon TownshipLemonLawrenceburg TownshipLawrenceburgHamiltonUnion TownshipUnionMiddletownTurtlecreek TownshipTurtlecreekTrentonFranklin TownshipFranklin010301Tract 010301Wayne TownshipWayneReadingGoshen TownshipGoshenHarrison TownshipHarrison15.533849%15.533849%15.5%1,145110.395496%10.395496%10.4%75729.809183%9.809183%9.8%98739.031688%9.031688%9.0%81847.476443%7.476443%7.5%2,18257.098082%7.098082%7.1%1,50665.817602%5.817602%5.8%1,20575.702823%5.702823%5.7%79684.729595%4.729595%4.7%9,03494.324780%4.324780%4.3%718104.149830%4.149830%4.1%1,027114.131913%4.131913%4.1%322124.100659%4.100659%4.1%1,711134.051173%4.051173%4.1%532143.803031%3.803031%3.8%1,774153.514938%3.514938%3.5%800163.336158%3.336158%3.3%7,127,6737.13M3.274485%3.274485%3.3%332173.154438%3.154438%3.2%365183.129371%3.129371%3.1%44,61744.6k3.026020%3.026020%3.0%2,312192.911988%2.911988%2.9%804202.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.641923%2.641923%2.6%289212.479223%2.479223%2.5%355222.476862%2.476862%2.5%1,025232.445209%2.445209%2.4%5,8152.396964%2.396964%2.4%581242.161687%2.161687%2.2%615252.138870%2.138870%2.1%954262.082851%2.082851%2.1%270272.071963%2.071963%2.1%205281.956069%1.956069%2.0%122291.824701%1.824701%1.8%285301.815530%1.815530%1.8%722311.704832%1.704832%1.7%338321.627546%1.627546%1.6%199331.477698%1.477698%1.5%434341.461378%1.461378%1.5%98351.435471%1.435471%1.4%107361.381357%1.381357%1.4%135371.377905%1.377905%1.4%169381.360651%1.360651%1.4%174391.345678%1.345678%1.3%125401.314233%1.314233%1.3%100411.241352%1.241352%1.2%506421.238390%1.238390%1.2%400430.996743%0.996743%1.0%306440.899720%0.899720%0.9%103450.821061%0.821061%0.8%63460.561985%0.561985%0.6%118470.515152%0.515152%0.5%170.515152%0.515152%0.5%170.434722%0.434722%0.4%31480.408694%0.408694%0.4%44490.228356%0.228356%0.2%2350

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 Wayne Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Wayne Township
Female
Male
2x0x2x4xFM#TurtlecreekLebanonAndersonSymmesMillerWilliamstown-Dry RdgWilliamstown-Dry …GoshenIndependenceWaltonForest ParkLovelandUnionAlexandriaBurlingtonSharonvilleTract 010301WayneCovingtonColerainGrnFairfieldMiddletownMidwestMasonEast North CentralCincinnatiNewport-Fort ThomasNewport-Fort Thom…LawrenceburgUnited StatesOhioHebronSpringdaleHamiltonFranklinPierceTrentonDeerfieldButlerW ChesterFlorenceLibertyHamiltonCincinnatiClear CrkDelhiBataviaMiamiHarrisonSycamoreSpringfieldOxfordMiamiReadingNorwoodMontgomeryFairfieldBlue AshLemon-1.000000x-1.000000x4.656298x4.656298x4.66x4.700%4.70%21.882%21.9%1-1.000000x-1.000000x2.046987x2.046987x2.05x4.586%4.59%9.387%9.39%2-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%3-1.000000x-1.000000x1.546207x1.546207x1.55x1.971%1.97%3.047%3.05%4-1.000000x-1.000000x1.539153x1.539153x1.54x4.933%4.93%7.593%7.59%5-1.000000x-1.000000x1.536446x1.536446x1.54x15.458%15.5%23.751%23.8%6-1.000000x-1.000000x1.419705x1.419705x1.42x12.616%12.6%17.910%17.9%7-1.000000x-1.000000x1.376987x1.376987x1.38x8.996%9.00%12.388%12.4%8-1.000000x-1.000000x1.354184x1.354184x1.35x5.799%5.80%7.853%7.85%9-1.000000x-1.000000x1.264074x1.264074x1.26x9.719%9.72%12.285%12.3%10-1.000000x-1.000000x1.259785x1.259785x1.26x5.045%5.04%6.356%6.36%11-1.000000x-1.000000x1.242595x1.242595x1.24x7.704%7.70%9.573%9.57%12-1.000000x-1.000000x1.232380x1.232380x1.23x6.180%6.18%7.616%7.62%13-1.000000x-1.000000x1.202049x1.202049x1.20x6.789%6.79%8.161%8.16%14-1.000000x-1.000000x1.195320x1.195320x1.20x7.243%7.24%8.657%8.66%15-1.000000x-1.000000x1.192966x1.192966x1.19x13.696%13.7%16.339%16.3%-1.000000x-1.000000x1.192966x1.192966x1.19x13.696%13.7%16.339%16.3%-1.000000x-1.000000x1.190394x1.190394x1.19x9.571%9.57%11.394%11.4%16-1.000000x-1.000000x1.175447x1.175447x1.18x10.032%10.0%11.792%11.8%17-1.000000x-1.000000x1.173903x1.173903x1.17x5.370%5.37%6.304%6.30%18-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%19-1.000000x-1.000000x1.147049x1.147049x1.15x17.010%17.0%19.512%19.5%20-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125850x1.125850x1.13x2.371%2.37%2.669%2.67%21-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.120330x1.120330x1.12x10.166%10.2%11.389%11.4%22-1.000000x-1.000000x1.112326x1.112326x1.11x9.959%9.96%11.078%11.1%23-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.093703x1.093703x1.09x3.370%3.37%3.686%3.69%24-1.000000x-1.000000x1.087946x1.087946x1.09x12.855%12.9%13.985%14.0%25-1.000000x-1.000000x1.073344x1.073344x1.07x4.661%4.66%5.003%5.00%26-1.000000x-1.000000x1.070157x1.070157x1.07x13.859%13.9%14.832%14.8%27-1.000000x-1.000000x1.060151x1.060151x1.06x5.721%5.72%6.066%6.07%28-1.000000x-1.000000x1.054139x1.054139x1.05x9.775%9.78%10.304%10.3%29-1.000000x-1.000000x1.045216x1.045216x1.05x3.224%3.22%3.370%3.37%30-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%-1.000000x-1.000000x1.031821x1.031821x1.03x5.641%5.64%5.821%5.82%31-1.000000x-1.000000x1.026336x1.026336x1.03x8.833%8.83%9.066%9.07%32-1.000000x-1.000000x1.026192x1.026192x1.03x5.072%5.07%5.205%5.20%33-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%34-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%35-1.027411x-1.027411x1.03x1.000000x1.000000x3.208%3.21%3.122%3.12%36-1.035513x-1.035513x1.04x1.000000x1.000000x7.718%7.72%7.454%7.45%37-1.042513x-1.042513x1.04x1.000000x1.000000x11.748%11.7%11.269%11.3%38-1.075183x-1.075183x1.08x1.000000x1.000000x5.828%5.83%5.420%5.42%39-1.076898x-1.076898x1.08x1.000000x1.000000x7.533%7.53%6.995%7.00%40-1.102881x-1.102881x1.10x1.000000x1.000000x6.964%6.96%6.315%6.31%41-1.145574x-1.145574x1.15x1.000000x1.000000x7.957%7.96%6.946%6.95%42-1.192103x-1.192103x1.19x1.000000x1.000000x9.013%9.01%7.561%7.56%43-1.202620x-1.202620x1.20x1.000000x1.000000x7.519%7.52%6.252%6.25%44-1.217030x-1.217030x1.22x1.000000x1.000000x13.540%13.5%11.125%11.1%45-1.344711x-1.344711x1.34x1.000000x1.000000x18.373%18.4%13.663%13.7%46-1.565337x-1.565337x1.57x1.000000x1.000000x2.745%2.75%1.754%1.75%47-1.600997x-1.600997x1.60x1.000000x1.000000x5.728%5.73%3.578%3.58%48-1.852773x-1.852773x1.85x1.000000x1.000000x5.536%5.54%2.988%2.99%49-2.002309x-2.002309x2.00x1.000000x1.000000x12.031%12.0%6.009%6.01%50

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 Wayne Township, selected other county subdivisions in the Cincinnati Area, and entities that contain the Wayne Township
Female
Male
4x2x0x2xFM#FairfieldLebanonMontgomerySymmesPierceMiddletownOxfordAndersonBurlingtonMillerDeerfieldDelhiNewport-Fort ThomasNewport-Fort Thom…MiamiHarrisonWaltonHebronBlue AshButlerBataviaOhioFairfieldW ChesterSpringfieldClear CrkEast North CentralMidwestCincinnatiLemonUnited StatesLibertyFlorenceCovingtonHamiltonSpringdaleUnionAlexandriaGrnCincinnatiSycamoreForest ParkMasonFranklinColerainHamiltonGoshenIndependenceMiamiLovelandNorwoodLawrenceburgSharonvilleTurtlecreekWilliamstown-Dry RdgWilliamstown-Dry …ReadingTrentonTract 010301Wayne-1.000000x-1.000000x3.276704x3.276704x3.28x1.213%1.21%3.974%3.97%1-1.000000x-1.000000x3.224151x3.224151x3.22x0.659%0.66%2.126%2.13%2-1.000000x-1.000000x3.080069x3.080069x3.08x5.258%5.26%16.194%16.2%3-1.000000x-1.000000x2.687619x2.687619x2.69x5.341%5.34%14.354%14.4%4-1.000000x-1.000000x2.614950x2.614950x2.61x1.837%1.84%4.804%4.80%5-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%6-1.000000x-1.000000x2.488110x2.488110x2.49x8.848%8.85%22.014%22.0%7-1.000000x-1.000000x2.428350x2.428350x2.43x4.486%4.49%10.893%10.9%8-1.000000x-1.000000x2.106750x2.106750x2.11x1.043%1.04%2.198%2.20%9-1.000000x-1.000000x2.005611x2.005611x2.01x1.305%1.30%2.617%2.62%10-1.000000x-1.000000x1.991550x1.991550x1.99x2.826%2.83%5.628%5.63%11-1.000000x-1.000000x1.914242x1.914242x1.91x1.199%1.20%2.295%2.30%12-1.000000x-1.000000x1.898515x1.898515x1.90x2.660%2.66%5.049%5.05%13-1.000000x-1.000000x1.851159x1.851159x1.85x2.056%2.06%3.806%3.81%14-1.000000x-1.000000x1.848215x1.848215x1.85x0.165%0.16%0.304%0.30%15-1.000000x-1.000000x1.826461x1.826461x1.83x2.869%2.87%5.241%5.24%16-1.000000x-1.000000x1.824013x1.824013x1.82x2.241%2.24%4.087%4.09%17-1.000000x-1.000000x1.805733x1.805733x1.81x6.470%6.47%11.683%11.7%18-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%-1.000000x-1.000000x1.708065x1.708065x1.71x1.371%1.37%2.342%2.34%19-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.650680x1.650680x1.65x1.122%1.12%1.852%1.85%20-1.000000x-1.000000x1.648570x1.648570x1.65x3.124%3.12%5.150%5.15%21-1.000000x-1.000000x1.646433x1.646433x1.65x1.871%1.87%3.080%3.08%22-1.000000x-1.000000x1.609013x1.609013x1.61x4.513%4.51%7.261%7.26%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.557853x1.557853x1.56x1.068%1.07%1.664%1.66%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525512x1.525512x1.53x2.801%2.80%4.272%4.27%25-1.000000x-1.000000x1.516293x1.516293x1.52x1.719%1.72%2.607%2.61%26-1.000000x-1.000000x1.394111x1.394111x1.39x2.542%2.54%3.543%3.54%27-1.000000x-1.000000x1.367987x1.367987x1.37x3.657%3.66%5.003%5.00%28-1.000000x-1.000000x1.358615x1.358615x1.36x1.223%1.22%1.662%1.66%29-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%30-1.000000x-1.000000x1.339826x1.339826x1.34x1.787%1.79%2.395%2.39%31-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%32-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%33-1.000000x-1.000000x1.277233x1.277233x1.28x5.053%5.05%6.454%6.45%34-1.000000x-1.000000x1.272394x1.272394x1.27x1.224%1.22%1.558%1.56%35-1.000000x-1.000000x1.186547x1.186547x1.19x6.522%6.52%7.739%7.74%36-1.000000x-1.000000x1.160587x1.160587x1.16x0.522%0.52%0.606%0.61%37-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%38-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%39-1.000000x-1.000000x1.008582x1.008582x1.01x0.407%0.41%0.410%0.41%40-1.027634x-1.027634x1.03x1.000000x1.000000x2.191%2.19%2.132%2.13%41-1.043114x-1.043114x1.04x1.000000x1.000000x2.699%2.70%2.587%2.59%42-1.067505x-1.067505x1.07x1.000000x1.000000x1.508%1.51%1.412%1.41%43-1.081783x-1.081783x1.08x1.000000x1.000000x2.164%2.16%2.001%2.00%44-1.193952x-1.193952x1.19x1.000000x1.000000x1.426%1.43%1.195%1.19%45-1.242801x-1.242801x1.24x1.000000x1.000000x4.574%4.57%3.681%3.68%46-1.282842x-1.282842x1.28x1.000000x1.000000x1.053%1.05%0.821%0.82%47-2.270737x-2.270737x2.27x1.000000x1.000000x1.914%1.91%0.843%0.84%48-2.679134x-2.679134x2.68x1.000000x1.000000x0.600%0.60%0.224%0.22%49-2.800391x-2.800391x2.80x1.000000x1.000000x1.173%1.17%0.419%0.42%50-4.543860x-4.543860x4.54x1.000000x1.000000x0.837%0.84%0.184%0.18%-4.543860x-4.543860x4.54x1.000000x1.000000x0.837%0.84%0.184%0.18%

Educational Attainment by County Subdivision in Ohio

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

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 Wayne Township, selected other county subdivisions in Ohio, and entities that contain the Wayne Township
0%5%10%15%20%Count#ClevelandMiddletownLorainYoungstownSpringfieldDaytonMansfieldLimaMarion TownshipMarionCantonHamiltonWarren010301Tract 010301Wayne TownshipWayneToledoCincinnatiAkronElyriaUnited States of AmericaUnited StatesNewarkBath TownshipLancaster City TownshipLancaster CityColumbusColerain TownshipColerainEast North CentralEuclidOhioButler CountyButlerMidwestCincinnati Metro AreaCincinnatiParmaFindlayFairfieldMiami TownshipMiamiUnion TownshipUnionHuber HeightsJackson TownshipJacksonCleveland HeightsCleveland HtsCuyahoga FallsPlain TownshipPlainLakewoodKetteringGreen TownshipGrnBoardman TownshipBoardmanWest Chester TownshipW ChesterMiami TownshipMiamiMifflin TownshipMifflinMentorLiberty TownshipLibertySylvania TownshipSylvaniaStrongsvilleViolet TownshipVioletJackson TownshipJacksonWashington TownshipWashingtonAnderson TownshipAndersonDeerfield TownshipDeerfieldBeavercreek TownshipBeavercreekDublin21.582420%21.582420%21.6%54,98155.0k118.211726%18.211726%18.2%5,591217.551080%17.551080%17.6%7,207316.999061%16.999061%17.0%7,424416.947843%16.947843%16.9%6,580516.928359%16.928359%16.9%14,88914.9k616.499446%16.499446%16.5%5,361716.278163%16.278163%16.3%3,757815.742056%15.742056%15.7%4,875915.631958%15.631958%15.6%7,3021015.293656%15.293656%15.3%6,2341115.055107%15.055107%15.1%4,0981215.000000%15.000000%15.0%49515.000000%15.000000%15.0%49514.332972%14.332972%14.3%26,34326.3k1313.761583%13.761583%13.8%26,28626.3k1413.591726%13.591726%13.6%17,95118.0k1513.343328%13.343328%13.3%4,8061613.020590%13.020590%13.0%27,818,38027.8M12.943290%12.943290%12.9%4,1061712.411362%12.411362%12.4%3,0631812.375999%12.375999%12.4%3,3311911.376979%11.376979%11.4%60,83160.8k2010.847918%10.847918%10.8%4,3142110.719464%10.719464%10.7%3,363,7843.36M10.656581%10.656581%10.7%3,5222210.514146%10.514146%10.5%825,155825k10.314030%10.314030%10.3%24,52824.5k10.244520%10.244520%10.2%4,641,8354.64M9.940523%9.940523%9.9%141,727142k9.939137%9.939137%9.9%5,683239.003845%9.003845%9.0%2,482248.712972%8.712972%8.7%2,559258.614662%8.614662%8.6%3,080268.597523%8.597523%8.6%2,777277.261193%7.261193%7.3%1,797286.480864%6.480864%6.5%1,944296.307136%6.307136%6.3%1,918306.197364%6.197364%6.2%2,215316.171554%6.171554%6.2%2,311326.109570%6.109570%6.1%2,246335.953744%5.953744%6.0%2,340345.804316%5.804316%5.8%2,402355.764815%5.764815%5.8%1,682365.727981%5.727981%5.7%2,390375.628396%5.628396%5.6%1,554385.595517%5.595517%5.6%1,408395.268752%5.268752%5.3%1,834405.136204%5.136204%5.1%1,169414.322119%4.322119%4.3%1,462424.066023%4.066023%4.1%1,313433.979966%3.979966%4.0%1,041443.830735%3.830735%3.8%1,118453.637690%3.637690%3.6%1,496463.351036%3.351036%3.4%978473.293195%3.293195%3.3%815483.105178%3.105178%3.1%1,170491.754602%1.754602%1.8%42850

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 Wayne Township, selected other county subdivisions in Ohio, and entities that contain the Wayne Township
0%20%40%60%Count#DublinDeerfield TownshipDeerfieldAnderson TownshipAndersonWashington TownshipWashingtonBeavercreek TownshipBeavercreekCleveland HeightsCleveland HtsLiberty TownshipLibertyWest Chester TownshipW ChesterSylvania TownshipSylvaniaStrongsvilleMifflin TownshipMifflinViolet TownshipVioletLakewoodMiami TownshipMiamiJackson TownshipJacksonColumbusCincinnatiKetteringPlain TownshipPlainGreen TownshipGrnCuyahoga FallsMentorCincinnati Metro AreaCincinnatiBoardman TownshipBoardmanUnited States of AmericaUnited StatesUnion TownshipUnionButler CountyButlerJackson TownshipJacksonMidwestEast North CentralFairfieldBath TownshipFindlayMiami TownshipMiamiOhioHuber HeightsColerain TownshipColerainEuclidAkronParmaNewarkToledoDaytonMiddletownLancaster City TownshipLancaster CityClevelandElyria010301Tract 010301Wayne TownshipWayneHamiltonSpringfieldCantonMansfieldWarrenYoungstownLorainLimaMarion TownshipMarion75.246997%75.246997%75.2%18,35518.4k157.851139%57.851139%57.9%14,31714.3k256.039061%56.039061%56.0%16,35516.4k352.483891%52.483891%52.5%21,58421.6k451.261976%51.261976%51.3%19,31519.3k550.973364%50.973364%51.0%15,50115.5k650.549209%50.549209%50.5%11,50511.5k747.424805%47.424805%47.4%19,78819.8k846.115414%46.115414%46.1%15,59915.6k944.614765%44.614765%44.6%14,40714.4k1043.925605%43.925605%43.9%11,05311.1k1143.657287%43.657287%43.7%11,41911.4k1243.651053%43.651053%43.7%16,04716.0k1342.654835%42.654835%42.7%11,77711.8k1441.432243%41.432243%41.4%12,09212.1k1534.685843%34.685843%34.7%185,460185k1633.783048%33.783048%33.8%64,52964.5k1733.391853%33.391853%33.4%13,12413.1k1833.138386%33.138386%33.1%12,40912.4k1932.914482%32.914482%32.9%13,62113.6k2032.380180%32.380180%32.4%11,57311.6k2132.238789%32.238789%32.2%11,22211.2k2231.723093%31.723093%31.7%452,292452k31.219796%31.219796%31.2%9,1092330.315023%30.315023%30.3%64,767,78764.8M29.613003%29.613003%29.6%9,5652429.134358%29.134358%29.1%69,28569.3k28.997200%28.997200%29.0%8,6982528.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.219271%28.219271%28.2%8,2882626.954091%26.954091%27.0%6,6522726.775738%26.775738%26.8%7,3812826.713842%26.713842%26.7%9,5512926.667466%26.667466%26.7%2,092,8752.09M22.834168%22.834168%22.8%5,6513021.665661%21.665661%21.7%8,6163120.614221%20.614221%20.6%6,8133220.213821%20.213821%20.2%26,69726.7k3319.988457%19.988457%20.0%11,42911.4k3418.053148%18.053148%18.1%5,7273518.048021%18.048021%18.0%33,17133.2k3617.635555%17.635555%17.6%15,51115.5k3716.631922%16.631922%16.6%5,1063816.462939%16.462939%16.5%4,4313916.073076%16.073076%16.1%40,94640.9k4015.411739%15.411739%15.4%5,5514115.363636%15.363636%15.4%50715.363636%15.363636%15.4%50715.075315%15.075315%15.1%6,1454214.851256%14.851256%14.9%5,7664314.608666%14.608666%14.6%6,8244413.812631%13.812631%13.8%4,4884512.832476%12.832476%12.8%3,4934612.044055%12.044055%12.0%5,2604711.718579%11.718579%11.7%4,8124811.460139%11.460139%11.5%2,6454910.478559%10.478559%10.5%3,24550

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 Wayne Township, selected other county subdivisions in Ohio, and entities that contain the Wayne Township
0%2%4%6%8%10%Count#Cleveland HeightsCleveland HtsDublinAnderson TownshipAndersonSylvania TownshipSylvaniaWashington TownshipWashingtonBeavercreek TownshipBeavercreekJackson TownshipJacksonLakewoodCincinnatiStrongsvilleDeerfield TownshipDeerfieldWest Chester TownshipW ChesterKetteringLiberty TownshipLibertyMifflin TownshipMifflinColumbusUnited States of AmericaUnited StatesCincinnati Metro AreaCincinnatiPlain TownshipPlainBoardman TownshipBoardmanViolet TownshipVioletMiami TownshipMiamiMidwestEast North CentralOhioCuyahoga FallsGreen TownshipGrnBath TownshipButler CountyButlerAkronJackson TownshipJacksonClevelandMentorColerain TownshipColerainMiami TownshipMiamiFindlayToledoSpringfieldFairfieldEuclidHuber HeightsLimaDaytonCantonHamiltonUnion TownshipUnionParmaNewarkLancaster City TownshipLancaster CityMansfieldMiddletownLorainElyriaYoungstownWarrenMarion TownshipMarion010301Tract 010301Wayne TownshipWayne10.753042%10.753042%10.8%3,270110.031566%10.031566%10.0%2,44727.476443%7.476443%7.5%2,18237.470585%7.470585%7.5%2,52746.820669%6.820669%6.8%2,80556.685422%6.685422%6.7%2,51965.297242%5.297242%5.3%1,54675.051412%5.051412%5.1%1,85784.729595%4.729595%4.7%9,03494.555308%4.555308%4.6%1,471104.149830%4.149830%4.1%1,027114.100659%4.100659%4.1%1,711123.778338%3.778338%3.8%1,485133.514938%3.514938%3.5%800143.389898%3.389898%3.4%853153.357865%3.357865%3.4%17,95418.0k163.336158%3.336158%3.3%7,127,6737.13M3.129371%3.129371%3.1%44,61744.6k3.036372%3.036372%3.0%1,137172.957809%2.957809%3.0%863182.940052%2.940052%2.9%769192.911988%2.911988%2.9%804202.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.683241%2.683241%2.7%210,582211k2.481744%2.481744%2.5%887212.476862%2.476862%2.5%1,025222.451477%2.451477%2.5%605232.445209%2.445209%2.4%5,8152.163955%2.163955%2.2%2,858242.063608%2.063608%2.1%619251.927780%1.927780%1.9%4,911261.815622%1.815622%1.8%632271.815530%1.815530%1.8%722281.762090%1.762090%1.8%630291.675978%1.675978%1.7%462301.642065%1.642065%1.6%3,018311.545396%1.545396%1.5%600321.477698%1.477698%1.5%434331.388805%1.388805%1.4%459341.349604%1.349604%1.3%334351.304159%1.304159%1.3%301361.257490%1.257490%1.3%1,106371.245933%1.245933%1.2%582381.241352%1.241352%1.2%506391.238390%1.238390%1.2%400401.236490%1.236490%1.2%707411.182108%1.182108%1.2%375421.159205%1.159205%1.2%312431.104887%1.104887%1.1%359440.996743%0.996743%1.0%306450.964372%0.964372%1.0%396460.952302%0.952302%1.0%343470.794541%0.794541%0.8%347480.742101%0.742101%0.7%202490.720098%0.720098%0.7%223500.515152%0.515152%0.5%170.515152%0.515152%0.5%17

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 Wayne Township, selected other county subdivisions in Ohio, and entities that contain the Wayne Township
Female
Male
1x0x1xFM#AndersonMansfieldCleveland HtsBeavercreekUnionToledoFindlayLorainMarionYoungstownTract 010301WayneColerainGrnFairfieldElyriaMiddletownLancaster CityMidwestEast North CentralSpringfieldWarrenCincinnatiDaytonCantonUnited StatesOhioLimaParmaColumbusClevelandDeerfieldButlerMentorNewarkW ChesterPlainLibertyJacksonHuber HeightsHamiltonJacksonCincinnatiAkronMifflinSylvaniaMiamiEuclidMiamiCuyahoga FallsStrongsvilleLakewoodBath TownshipDublinKetteringWashingtonBoardmanViolet-1.000000x-1.000000x1.766803x1.766803x1.77x2.468%2.47%4.360%4.36%1-1.000000x-1.000000x1.592708x1.592708x1.59x12.530%12.5%19.956%20.0%2-1.000000x-1.000000x1.485471x1.485471x1.49x5.146%5.15%7.645%7.64%3-1.000000x-1.000000x1.332397x1.332397x1.33x2.666%2.67%3.552%3.55%4-1.000000x-1.000000x1.242595x1.242595x1.24x7.704%7.70%9.573%9.57%5-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%6-1.000000x-1.000000x1.222843x1.222843x1.22x8.133%8.13%9.946%9.95%7-1.000000x-1.000000x1.207850x1.207850x1.21x16.045%16.0%19.380%19.4%8-1.000000x-1.000000x1.204406x1.204406x1.20x14.131%14.1%17.020%17.0%9-1.000000x-1.000000x1.194114x1.194114x1.19x15.554%15.6%18.574%18.6%10-1.000000x-1.000000x1.192966x1.192966x1.19x13.696%13.7%16.339%16.3%-1.000000x-1.000000x1.192966x1.192966x1.19x13.696%13.7%16.339%16.3%-1.000000x-1.000000x1.175447x1.175447x1.18x10.032%10.0%11.792%11.8%11-1.000000x-1.000000x1.173903x1.173903x1.17x5.370%5.37%6.304%6.30%12-1.000000x-1.000000x1.173628x1.173628x1.17x8.033%8.03%9.428%9.43%13-1.000000x-1.000000x1.166450x1.166450x1.17x12.379%12.4%14.439%14.4%14-1.000000x-1.000000x1.147049x1.147049x1.15x17.010%17.0%19.512%19.5%15-1.000000x-1.000000x1.144160x1.144160x1.14x11.593%11.6%13.265%13.3%16-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.124452x1.124452x1.12x16.027%16.0%18.022%18.0%17-1.000000x-1.000000x1.124390x1.124390x1.12x14.230%14.2%16.000%16.0%18-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%19-1.000000x-1.000000x1.109752x1.109752x1.11x14.885%14.9%16.518%16.5%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.087544x1.087544x1.09x15.592%15.6%16.957%17.0%21-1.000000x-1.000000x1.081824x1.081824x1.08x9.568%9.57%10.350%10.4%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%24-1.000000x-1.000000x1.045216x1.045216x1.05x3.224%3.22%3.370%3.37%25-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%-1.000000x-1.000000x1.038813x1.038813x1.04x5.175%5.17%5.376%5.38%26-1.000000x-1.000000x1.036562x1.036562x1.04x12.733%12.7%13.198%13.2%27-1.000000x-1.000000x1.031821x1.031821x1.03x5.641%5.64%5.821%5.82%28-1.000000x-1.000000x1.027725x1.027725x1.03x6.093%6.09%6.262%6.26%29-1.000000x-1.000000x1.026192x1.026192x1.03x5.072%5.07%5.205%5.20%30-1.000000x-1.000000x1.025236x1.025236x1.03x6.405%6.41%6.567%6.57%31-1.000000x-1.000000x1.021443x1.021443x1.02x7.189%7.19%7.344%7.34%32-1.000000x-1.000000x1.015682x1.015682x1.02x15.182%15.2%15.420%15.4%33-1.000000x-1.000000x1.006889x1.006889x1.01x3.818%3.82%3.844%3.84%34-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%35-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%36-1.053306x-1.053306x1.05x1.000000x1.000000x5.733%5.73%5.442%5.44%37-1.068860x-1.068860x1.07x1.000000x1.000000x4.454%4.45%4.167%4.17%38-1.075183x-1.075183x1.08x1.000000x1.000000x5.828%5.83%5.420%5.42%39-1.084060x-1.084060x1.08x1.000000x1.000000x11.029%11.0%10.174%10.2%40-1.123601x-1.123601x1.12x1.000000x1.000000x9.091%9.09%8.091%8.09%41-1.132510x-1.132510x1.13x1.000000x1.000000x6.567%6.57%5.799%5.80%42-1.209810x-1.209810x1.21x1.000000x1.000000x4.433%4.43%3.664%3.66%43-1.275391x-1.275391x1.28x1.000000x1.000000x6.820%6.82%5.347%5.35%44-1.295653x-1.295653x1.30x1.000000x1.000000x13.964%14.0%10.778%10.8%45-1.385029x-1.385029x1.39x1.000000x1.000000x2.028%2.03%1.464%1.46%46-1.505212x-1.505212x1.51x1.000000x1.000000x7.040%7.04%4.677%4.68%47-1.641786x-1.641786x1.64x1.000000x1.000000x4.457%4.46%2.715%2.71%48-1.660386x-1.660386x1.66x1.000000x1.000000x7.066%7.07%4.256%4.26%49-1.798212x-1.798212x1.80x1.000000x1.000000x5.036%5.04%2.800%2.80%50

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 Wayne Township, selected other county subdivisions in Ohio, and entities that contain the Wayne Township
Female
Male
4x2x0x2xFM#ElyriaSpringfieldWashingtonYoungstownBoardmanLorainMiddletownLancaster CityFindlayAndersonJacksonKetteringMifflinPlainBeavercreekDeerfieldDaytonNewarkEuclidMiamiAkronDublinSylvaniaButlerStrongsvilleBath TownshipOhioFairfieldMansfieldW ChesterHuber HeightsLakewoodEast North CentralMidwestCincinnatiWarrenUnited StatesLibertyParmaCleveland HtsColumbusUnionMentorGrnJacksonClevelandCincinnatiMiamiMarionVioletColerainToledoHamiltonCantonCuyahoga FallsLimaTract 010301Wayne-1.000000x-1.000000x3.557903x3.557903x3.56x0.433%0.43%1.542%1.54%1-1.000000x-1.000000x3.025650x3.025650x3.03x0.799%0.80%2.417%2.42%2-1.000000x-1.000000x2.977263x2.977263x2.98x3.534%3.53%10.523%10.5%3-1.000000x-1.000000x2.809581x2.809581x2.81x0.426%0.43%1.196%1.20%4-1.000000x-1.000000x2.780060x2.780060x2.78x1.621%1.62%4.507%4.51%5-1.000000x-1.000000x2.695011x2.695011x2.70x0.546%0.55%1.472%1.47%6-1.000000x-1.000000x2.596948x2.596948x2.60x0.564%0.56%1.465%1.46%7-1.000000x-1.000000x2.442537x2.442537x2.44x0.692%0.69%1.690%1.69%8-1.000000x-1.000000x2.437656x2.437656x2.44x0.991%0.99%2.417%2.42%9-1.000000x-1.000000x2.428350x2.428350x2.43x4.486%4.49%10.893%10.9%10-1.000000x-1.000000x2.183841x2.183841x2.18x3.386%3.39%7.394%7.39%11-1.000000x-1.000000x2.155653x2.155653x2.16x2.468%2.47%5.319%5.32%12-1.000000x-1.000000x2.069018x2.069018x2.07x2.252%2.25%4.660%4.66%13-1.000000x-1.000000x2.024516x2.024516x2.02x2.059%2.06%4.169%4.17%14-1.000000x-1.000000x2.007898x2.007898x2.01x4.457%4.46%8.948%8.95%15-1.000000x-1.000000x1.991550x1.991550x1.99x2.826%2.83%5.628%5.63%16-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%17-1.000000x-1.000000x1.967904x1.967904x1.97x0.822%0.82%1.618%1.62%18-1.000000x-1.000000x1.903271x1.903271x1.90x0.997%1.00%1.897%1.90%19-1.000000x-1.000000x1.851159x1.851159x1.85x2.056%2.06%3.806%3.81%20-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%21-1.000000x-1.000000x1.832511x1.832511x1.83x7.149%7.15%13.100%13.1%22-1.000000x-1.000000x1.805502x1.805502x1.81x5.447%5.45%9.835%9.84%23-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%-1.000000x-1.000000x1.769961x1.769961x1.77x3.331%3.33%5.895%5.90%24-1.000000x-1.000000x1.691857x1.691857x1.69x1.833%1.83%3.102%3.10%25-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.650680x1.650680x1.65x1.122%1.12%1.852%1.85%26-1.000000x-1.000000x1.650301x1.650301x1.65x0.820%0.82%1.353%1.35%27-1.000000x-1.000000x1.648570x1.648570x1.65x3.124%3.12%5.150%5.15%28-1.000000x-1.000000x1.627164x1.627164x1.63x1.044%1.04%1.699%1.70%29-1.000000x-1.000000x1.624128x1.624128x1.62x3.883%3.88%6.306%6.31%30-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.543502x1.543502x1.54x0.592%0.59%0.914%0.91%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525512x1.525512x1.53x2.801%2.80%4.272%4.27%32-1.000000x-1.000000x1.433883x1.433883x1.43x1.025%1.03%1.470%1.47%33-1.000000x-1.000000x1.416609x1.416609x1.42x9.009%9.01%12.763%12.8%34-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%35-1.000000x-1.000000x1.348352x1.348352x1.35x1.062%1.06%1.431%1.43%36-1.000000x-1.000000x1.325696x1.325696x1.33x1.576%1.58%2.089%2.09%37-1.000000x-1.000000x1.319751x1.319751x1.32x2.156%2.16%2.845%2.85%38-1.000000x-1.000000x1.297270x1.297270x1.30x1.812%1.81%2.351%2.35%39-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%40-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%41-1.000000x-1.000000x1.246667x1.246667x1.25x1.577%1.58%1.966%1.97%42-1.000000x-1.000000x1.217109x1.217109x1.22x0.642%0.64%0.782%0.78%43-1.000000x-1.000000x1.149458x1.149458x1.15x2.746%2.75%3.157%3.16%44-1.000000x-1.000000x1.145376x1.145376x1.15x1.701%1.70%1.948%1.95%45-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%46-1.000000x-1.000000x1.036455x1.036455x1.04x1.220%1.22%1.265%1.26%47-1.103703x-1.103703x1.10x1.000000x1.000000x1.302%1.30%1.180%1.18%48-1.188945x-1.188945x1.19x1.000000x1.000000x2.687%2.69%2.260%2.26%49-1.404867x-1.404867x1.40x1.000000x1.000000x1.525%1.53%1.086%1.09%50-4.543860x-4.543860x4.54x1.000000x1.000000x0.837%0.84%0.184%0.18%-4.543860x-4.543860x4.54x1.000000x1.000000x0.837%0.84%0.184%0.18%

Educational Attainment by County Subdivision in the Midwest

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

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 Wayne Township, selected other county subdivisions in the Midwest, and entities that contain the Wayne Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarren010301Tract 010301Wayne TownshipWayneGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthOhioButler CountyButlerMidwestLawrence TownshipLawrenceCincinnati Metro AreaCincinnatiSioux FallsCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1415.000000%15.000000%15.0%49515.000000%15.000000%15.0%49514.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.514146%10.514146%10.5%825,155825k10.314030%10.314030%10.3%24,52824.5k10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.940523%9.940523%9.9%141,727142k9.702326%9.702326%9.7%9,123348.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750

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 Wayne Township, selected other county subdivisions in the Midwest, and entities that contain the Wayne Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsCincinnati Metro AreaCincinnatiUnited States of AmericaUnited StatesSioux FallsButler CountyButlerMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldOhioProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue Township010301Tract 010301Wayne TownshipWayneDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2831.723093%31.723093%31.7%452,292452k30.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2929.134358%29.134358%29.1%69,28569.3k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.667466%26.667466%26.7%2,092,8752.09M26.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4915.363636%15.363636%15.4%50715.363636%15.363636%15.4%50713.833543%13.833543%13.8%59,72359.7k50

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 Wayne Township, selected other county subdivisions in the Midwest, and entities that contain the Wayne Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsCincinnati Metro AreaCincinnatiLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheOhioCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaButler CountyButlerProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton010301Tract 010301Wayne TownshipWayne17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.129371%3.129371%3.1%44,61744.6k3.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.683241%2.683241%2.7%210,582211k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.445209%2.445209%2.4%5,8152.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.515152%0.515152%0.5%170.515152%0.515152%0.5%17

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 Wayne Township, selected other county subdivisions in the Midwest, and entities that contain the Wayne Township
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonTract 010301WayneKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeCincinnatiKaw TownshipDaytonSioux FallsUnited StatesOlatheOhioWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandButlerPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.192966x1.192966x1.19x13.696%13.7%16.339%16.3%-1.000000x-1.000000x1.192966x1.192966x1.19x13.696%13.7%16.339%16.3%-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50

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 Wayne Township, selected other county subdivisions in the Midwest, and entities that contain the Wayne Township
Female
Male
4x2x0x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleButlerWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOhioOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleCincinnatiKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonTract 010301Wayne-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.799448x1.799448x1.80x1.767%1.77%3.179%3.18%-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669500x1.669500x1.67x2.031%2.03%3.391%3.39%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.582232x1.582232x1.58x2.447%2.45%3.871%3.87%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50-4.543860x-4.543860x4.54x1.000000x1.000000x0.837%0.84%0.184%0.18%-4.543860x-4.543860x4.54x1.000000x1.000000x0.837%0.84%0.184%0.18%

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Wayne Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Wayne 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 Wayne Township, selected other county subdivisions in the United States, and entities that contain the Wayne 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 Vegas010301Tract 010301Wayne TownshipWaynePhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralOhioSalt Lake CitySalt Lk CityTown of HempsteadHempsteadButler CountyButlerMidwestNorthwest HarrisNW HarrisWashingtonCincinnati Metro AreaCincinnatiAtlantaSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2515.000000%15.000000%15.0%49515.000000%15.000000%15.0%49514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.514146%10.514146%10.5%825,155825k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.314030%10.314030%10.3%24,52824.5k10.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.940523%9.940523%9.9%141,727142k9.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50

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 Wayne Township, selected other county subdivisions in the United States, and entities that contain the Wayne Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonCincinnati Metro AreaCincinnatiOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreButler CountyButlerLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioOhioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan Bernardino010301Tract 010301Wayne TownshipWayneSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.723093%31.723093%31.7%452,292452k31.198303%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%125,423125k3129.134358%29.134358%29.1%69,28569.3k29.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.667466%26.667466%26.7%2,092,8752.09M26.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.363636%15.363636%15.4%50715.363636%15.363636%15.4%50714.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50

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 Wayne Township, selected other county subdivisions in the United States, and entities that contain the Wayne Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaCincinnati Metro AreaCincinnatiPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensOhioNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyButler CountyButlerOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit010301Tract 010301Wayne TownshipWayne12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.129371%3.129371%3.1%44,61744.6k3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.683241%2.683241%2.7%210,582211k2.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.445209%2.445209%2.4%5,8152.324315%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%5,693500.515152%0.515152%0.5%170.515152%0.515152%0.5%17

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 Wayne Township, selected other county subdivisions in the United States, and entities that contain the Wayne Township
Female
Male
1x0x1xFM#1, CharlotteDetroitTract 010301WayneBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeCincinnatiUnited StatesOhioNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverButlerNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.192966x1.192966x1.19x13.696%13.7%16.339%16.3%-1.000000x-1.000000x1.192966x1.192966x1.19x13.696%13.7%16.339%16.3%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.120901x1.120901x1.12x9.396%9.40%10.532%10.5%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.105363x1.105363x1.11x10.008%10.0%11.063%11.1%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%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-1.000000x1.042157x1.042157x1.04x10.109%10.1%10.535%10.5%-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50

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 Wayne Township, selected other county subdivisions in the United States, and entities that contain the Wayne Township
Female
Male
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Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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