Educational Attainment in the Wayne Township, Hamilton County, Indiana (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Hamilton County and the Wayne Township
Wayne Township
Hamilton County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma246.174705%62.876924%46.174705%46.2%2,38445.845439%33.092983%45.845439%45.8%2,3677.979857%4.030092%7.979857%8.0%412
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 Hamilton County at large.
Scope: population of Hamilton County and the Wayne Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-26.563354%-26.563354%-26.6%46.175%46.2%62.877%62.9%38.535225%38.535225%+38.5%45.845%45.8%33.093%33.1%98.006789%98.006789%+98.0%7.980%7.98%4.030%4.03%
% percentage with given level in the Wayne Township
ref. percentage with given level in Hamilton 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 Hamilton County and the Wayne Township
Wayne Township
Hamilton County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.193686%2.503946%0.193686%0.2%101.898121%4.288379%1.898121%1.9%986.042998%13.698420%6.042998%6.0%31227.755181%35.790132%27.755181%27.8%1,43310.284718%6.596048%10.284718%10.3%53119.562270%17.348257%19.562270%19.6%1,01026.283169%15.744727%26.283169%26.3%1,3576.372264%2.914437%6.372264%6.4%3291.607592%0.693377%1.607592%1.6%830.000000%0.000000%0.0%0.422278%0
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 Hamilton County at large.
Scope: population of Hamilton County and the Wayne Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-92.264776%-92.264776%-92.3%0.194%0.19%2.504%2.50%-55.738026%-55.738026%-55.7%1.898%1.90%4.288%4.29%-55.885434%-55.885434%-55.9%6.043%6.04%13.698%13.7%-22.450185%-22.450185%-22.5%27.755%27.8%35.790%35.8%55.922433%55.922433%+55.9%10.285%10.3%6.596%6.60%12.762167%12.762167%+12.8%19.562%19.6%17.348%17.3%66.933153%66.933153%+66.9%26.283%26.3%15.745%15.7%118.644743%118.644743%+118.6%6.372%6.37%2.914%2.91%131.849769%131.849769%+131.8%1.608%1.61%0.693%0.69%-100.000000%-100.000000%-100.0%0.000%0%0.422%0.42%
% percentage with given level in the Wayne Township
ref. percentage with given level in Hamilton 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 Hamilton County and the Wayne Township
More Females More Males
Hamilton County
Wayne Township
0%100%200%300%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-0.502532%-0.502532%1%4.493282%46.287%46.3%46.056%46.1%-25.588330%-11.489067%-25.588330%26%50.886%50.9%40.518%40.5%374.932802%22.546011%374.932802%375%2.827%2.83%13.426%13.4%
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 Hamilton County and the Wayne Township
More Females More Males
Hamilton County
Wayne Township
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-1,000.000000%-1,000.000000%> 1000%61.126345%0.377%0.38%0.000%0%657.496680%72.362420%657.496680%1k%0.452%0.45%3.426%3.43%-36.001696%-3.104875%-36.001696%0k%6.936%6.94%5.100%5.10%3.796708%4.679493%3.796708%0k%27.252%27.3%28.287%28.3%-21.932555%-34.894652%-21.932555%0k%11.270%11.3%9.243%9.24%-31.826083%-2.102972%-31.826083%0k%22.164%22.2%16.813%16.8%-21.164244%-22.946923%-21.164244%0k%28.722%28.7%23.705%23.7%257.961222%32.207984%257.961222%0k%2.827%2.83%10.120%10.1%1,000.000000%3.325424%1,000.000000%> 1000%0.000%0%3.307%3.31%
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 Hamilton County and the Wayne Township
Wayne Township
Hamilton County
0%10%20%30%40%B.X.Total65+45-6435-4425-3413.538462%20.071561%13.538462%13.5%8865019.879920%34.510460%19.879920%19.9%2981,49921.428571%42.480571%21.428571%21.4%2551,19043.421053%43.482680%43.421053%43.4%7921,824
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 Hamilton County at large.
Scope: population of Hamilton County and the Wayne Township
40%30%20%10%0%%ref.65+45-6435-4425-34-32.549035%-32.549035%32.5%13.538%13.5%20.072%20.1%-42.394509%-42.394509%42.4%19.880%19.9%34.510%34.5%-49.556771%-49.556771%49.6%21.429%21.4%42.481%42.5%-0.141729%-0.141729%0.1%43.421%43.4%43.483%43.5%
% percentage in the Wayne Township with a Bachelor's degree
ref percentage in Hamilton 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 Hamilton County and the Wayne Township
More Females More Males
Hamilton County
Wayne Township
50%0%50%100%FM65+45-6435-4425-34-91.965916%-91.965916%92.0%63.509118%17.925%17.9%9.337%9.34%119.085350%7.333028%119.085350%119.1%12.736%12.7%27.904%27.9%-94.591478%-7.240775%-94.591478%94.6%31.206%31.2%16.037%16.0%-7.488223%31.597464%31.597464%31.6%38.695%38.7%50.922%50.9%
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 Hamilton County and the Wayne Township
Wayne Township
Hamilton County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$45,438.000000$81,919.000000$45,438.000000$45.4k4208.135%8.13%$43,708.000000$61,262.000000$43,708.000000$43.7k1,43327.755%27.8%$34,020.000000$41,155.000000$34,020.000000$34.0k1,54129.847%29.8%$22,844.000000$30,829.000000$22,844.000000$22.8k1,35726.283%26.3%$35,712.000000$51,859.000000$35,712.000000$35.7k5,163100.000%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 Hamilton County and the Wayne Township
Female Male
Hamilton County
Wayne Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeTotal$-44,917.000000$-11,083.000000$-64,574.000000$-56,000.000000$56.0k$44,917.000000$64,574.000000$37,535.000000$44,917.000000$44.9k206214$-37,500.000000$-45,160.000000$-37,500.000000$37.5k$37,500.000000$14,539.000000$45,160.000000$33,538.000000$52,039.000000$52.0k723710$-31,541.000000$-31,825.000000$-31,541.000000$31.5k$31,541.000000$12,738.000000$31,825.000000$18,264.000000$44,279.000000$44.3k887654$-31,799.000000$-40,941.000000$-31,799.000000$31.8k$31,799.000000$9,378.000000$40,941.000000$26,737.000000$41,177.000000$41.2k2,6532,510
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 Hamilton County and the Wayne Township
Wayne Township
Hamilton County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.524729%85.982752%85.524729%85.5%1,41884.894699%80.103050%84.894699%84.9%1,16965.286344%75.257779%65.286344%65.3%74157.142857%60.633656%57.142857%57.1%196
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 Hamilton County and the Wayne Township
Female Male
Hamilton County
Wayne Township
Shaded bar tips show excess over facing bar.
10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-3.464203%-2.743817%-3.464203%3.5%3.464203%11.379146%2.743817%0.782003%14.843349%14.8%28975-0.000000%-4.919448%0.000000%0.0%0.000000%10.572687%4.919448%2.888008%10.572687%10.6%240-0.000000%-3.728546%-5.396798%0.000000%0.0%0.000000%0.000000%3.728546%0.000000%0.0%00-0.000000%-19.129288%0.000000%0.0%0.000000%0.000000%19.129288%2.422146%0.000000%0.0%00-0.000000%-6.996587%0.000000%0.0%0.000000%38.095238%6.996587%17.884365%38.095238%38.1%240
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 Hamilton County and the Wayne Township
Female Male
Hamilton County
Wayne Township
Shaded bar tips show excess over facing bar.
50%0%50%MFWhite1BlackAsianHispanic2Other1-38.198614%-53.806975%-38.198614%38.2%38.198614%2.273908%53.806975%5.087002%40.472522%40.5%788827-22.466960%-5.994578%-47.612198%-28.461538%28.5%22.466960%47.612198%0.377236%22.466960%22.5%5137-11.627907%-68.767218%-11.627907%11.6%11.627907%56.457199%68.767218%11.248565%68.085106%68.1%6425-0.000000%-30.758853%-4.795236%0.000000%0.0%0.000000%0.000000%30.758853%0.000000%0.0%00-33.333333%-10.144928%-40.833333%-3.876564%-43.478261%43.5%33.333333%40.833333%33.333333%33.3%2140
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 Indianapolis Area

There are 119 county subdivisions in the Indianapolis Area. This section compares the Wayne Township to the 50 most populous county subdivisions in the Indianapolis 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 4,750.

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 Indianapolis Area, and entities that contain the Wayne Township
0%5%10%15%20%Count#Center TownshipCtrWayne TownshipWayneBlue River TownshipBlue RivPipe Creek TownshipPipe CrkAddison TownshipAddisonLafayette TownshipLafayetteWarren TownshipWarrenAnderson TownshipAndersonMonroe TownshipMonroePerry TownshipPerryWashington TownshipWashingtonDecatur TownshipDecaturUnited States of AmericaUnited StatesCenter TownshipCtrBrown TownshipBrownIndianaGreencastle TownshipGreencastleFranklin TownshipFranklinNeedham TownshipNeedhamAdams TownshipAdamsIndianapolis, Carmel, and Anderson Metro AreaIndianapolisFall Creek TownshipFall CrkEast North CentralMidwestLawrence TownshipLawrencePike TownshipLiberty TownshipLibertyRichland TownshipRichland110100Tract 110100Pleasant TownshipPleasantCenter TownshipCtrWayne TownshipWayneGuilford TownshipGuilfordWashington TownshipWashingtonZIP Code 46060ZIP 46060Monroe TownshipMonroeMadison TownshipMadisonJackson TownshipJacksonFranklin TownshipFranklinWashington TownshipWashingtonLincoln TownshipLincolnUnion TownshipUnionNoblesville TownshipNoblesvilleGreen TownshipGrnWashington TownshipWashingtonCenter TownshipCtrWhite River TownshipWhite RivSugar Creek TownshipSugar CrkMiddle TownshipMiddleWashington TownshipWashingtonBuck Creek TownshipBuck CrkHamilton CountyHamiltonHamilton Southeastern SchoolsHamilton SEFall Creek TownshipFall CrkDelaware TownshipDelawareBrown TownshipBrownVernon TownshipVernonClay TownshipTown of ZionsvilleZionsville23.165532%23.165532%23.2%22,92622.9k121.037720%21.037720%21.0%18,48918.5k220.878805%20.878805%20.9%727316.192357%16.192357%16.2%1,394415.942244%15.942244%15.9%2,153515.545632%15.545632%15.5%557615.481486%15.481486%15.5%10,30210.3k714.786671%14.786671%14.8%5,507814.650425%14.650425%14.7%878914.326632%14.326632%14.3%10,55410.6k1014.181725%14.181725%14.2%1,6561113.599622%13.599622%13.6%2,8771213.020590%13.020590%13.0%27,818,38027.8M12.754496%12.754496%12.8%1,6101312.016874%12.016874%12.0%1,0541411.923855%11.923855%11.9%517,458517k11.372653%11.372653%11.4%8601511.324577%11.324577%11.3%1,6211610.964818%10.964818%11.0%5081710.954661%10.954661%11.0%3891810.814583%10.814583%10.8%140,185140k10.740776%10.740776%10.7%1,1441910.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161209.909467%9.909467%9.9%5,035219.658806%9.658806%9.7%385229.608442%9.608442%9.6%346238.841733%8.841733%8.8%6008.654557%8.654557%8.7%3,159248.468061%8.468061%8.5%1,498257.979857%7.979857%8.0%412267.947177%7.947177%7.9%1,679277.859079%7.859079%7.9%290287.738442%7.738442%7.7%1,8587.544007%7.544007%7.5%270297.258938%7.258938%7.3%469307.167235%7.167235%7.2%504317.113476%7.113476%7.1%2,473326.804680%6.804680%6.8%6,403336.722324%6.722324%6.7%1,393346.538462%6.538462%6.5%425356.187687%6.187687%6.2%2,197366.065120%6.065120%6.1%285375.826158%5.826158%5.8%1,793385.234883%5.234883%5.2%419395.183872%5.183872%5.2%1,521404.724258%4.724258%4.7%490414.546493%4.546493%4.5%199424.507433%4.507433%4.5%1,040434.423302%4.423302%4.4%265444.030092%4.030092%4.0%7,8643.408681%3.408681%3.4%2,1733.059982%3.059982%3.1%1,081452.923599%2.923599%2.9%680462.809435%2.809435%2.8%212472.790816%2.790816%2.8%220482.265751%2.265751%2.3%1,373492.052353%2.052353%2.1%33450
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 Wayne Township, selected other county subdivisions in the Indianapolis Area, and entities that contain the Wayne Township
0%20%40%60%Count#Town of ZionsvilleZionsvilleClay TownshipFall Creek TownshipFall CrkHamilton Southeastern SchoolsHamilton SEDelaware TownshipDelawareHamilton CountyHamiltonWashington TownshipWashingtonBrown TownshipBrownWashington TownshipWashingtonWhite River TownshipWhite RivNoblesville TownshipNoblesvilleZIP Code 46060ZIP 46060Washington TownshipWashingtonVernon TownshipVernonLincoln TownshipLincolnPike TownshipLawrence TownshipLawrenceWayne TownshipWayneFranklin TownshipFranklinBuck Creek TownshipBuck Crk110100Tract 110100Sugar Creek TownshipSugar CrkIndianapolis, Carmel, and Anderson Metro AreaIndianapolisNeedham TownshipNeedhamUnited States of AmericaUnited StatesGuilford TownshipGuilfordMidwestCenter TownshipCtrEast North CentralWashington TownshipWashingtonGreen TownshipGrnJackson TownshipJacksonMiddle TownshipMiddleCenter TownshipCtrPleasant TownshipPleasantIndianaPerry TownshipPerryFranklin TownshipFranklinFall Creek TownshipFall CrkCenter TownshipCtrUnion TownshipUnionRichland TownshipRichlandCenter TownshipCtrGreencastle TownshipGreencastleWarren TownshipWarrenMadison TownshipMadisonMonroe TownshipMonroeLiberty TownshipLibertyWayne TownshipWayneAdams TownshipAdamsWashington TownshipWashingtonDecatur TownshipDecaturAnderson TownshipAndersonAddison TownshipAddisonMonroe TownshipMonroeBrown TownshipBrownPipe Creek TownshipPipe CrkLafayette TownshipLafayetteBlue River TownshipBlue Riv70.056532%70.056532%70.1%11,40111.4k168.328988%68.328988%68.3%41,40641.4k265.318312%65.318312%65.3%23,07523.1k359.845645%59.845645%59.8%38,15138.2k56.851111%56.851111%56.9%13,22313.2k456.280877%56.280877%56.3%109,822110k53.478091%53.478091%53.5%12,33912.3k553.366022%53.366022%53.4%4,027650.610540%50.610540%50.6%47,62347.6k742.452541%42.452541%42.5%12,45612.5k842.333690%42.333690%42.3%15,03115.0k939.637651%39.637651%39.6%9,51738.953696%38.953696%39.0%11,98812.0k1037.967779%37.967779%38.0%2,9931137.703890%37.703890%37.7%7,8131237.193466%37.193466%37.2%18,89818.9k1336.577273%36.577273%36.6%29,32429.3k1435.889986%35.889986%35.9%1,8531534.336258%34.336258%34.3%11,93711.9k1633.717243%33.717243%33.7%2,0201732.714412%32.714412%32.7%2,22032.433475%32.433475%32.4%3,3641832.189632%32.189632%32.2%417,261417k30.887114%30.887114%30.9%1,4311930.315023%30.315023%30.3%64,767,78764.8M30.207791%30.207791%30.2%6,3822028.952816%28.952816%29.0%13,118,64213.1M28.948026%28.948026%28.9%2,3172128.462853%28.462853%28.5%8,931,6868.93M28.401084%28.401084%28.4%1,0482228.367738%28.367738%28.4%1,3332327.815700%27.815700%27.8%1,9562427.758739%27.758739%27.8%1,2152525.802107%25.802107%25.8%3,2572625.634914%25.634914%25.6%9,3572724.611498%24.611498%24.6%1,068,0621.07M24.563237%24.563237%24.6%18,09518.1k2824.367752%24.367752%24.4%3,4882923.631584%23.631584%23.6%2,5173023.154324%23.154324%23.2%4,0963122.092308%22.092308%22.1%1,4363220.466537%20.466537%20.5%7373320.139240%20.139240%20.1%19,93119.9k3420.047606%20.047606%20.0%1,5163519.034023%19.034023%19.0%12,66612.7k3618.634886%18.634886%18.6%1,2043718.133557%18.133557%18.1%6493816.909182%16.909182%16.9%6743916.826535%16.826535%16.8%14,78814.8k4016.108139%16.108139%16.1%5724115.766036%15.766036%15.8%1,8414215.140629%15.140629%15.1%3,2034314.996107%14.996107%15.0%5,5854413.720844%13.720844%13.7%1,8534512.931754%12.931754%12.9%7754612.632539%12.632539%12.6%1,1084712.243002%12.243002%12.2%1,0544811.833659%11.833659%11.8%424495.226881%5.226881%5.2%18250
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 Wayne Township, selected other county subdivisions in the Indianapolis Area, and entities that contain the Wayne Township
0%5%10%Count#Town of ZionsvilleZionsvilleClay TownshipFall Creek TownshipFall CrkWashington TownshipWashingtonHamilton Southeastern SchoolsHamilton SEHamilton CountyHamiltonBrown TownshipBrownWashington TownshipWashingtonDelaware TownshipDelawarePike TownshipNeedham TownshipNeedhamGreen TownshipGrnGreencastle TownshipGreencastleZIP Code 46060ZIP 46060Noblesville TownshipNoblesvilleUnited States of AmericaUnited StatesIndianapolis, Carmel, and Anderson Metro AreaIndianapolisWhite River TownshipWhite RivLawrence TownshipLawrenceMidwestRichland TownshipRichlandEast North CentralGuilford TownshipGuilfordCenter TownshipCtrCenter TownshipCtrWashington TownshipWashingtonFranklin TownshipFranklinFranklin TownshipFranklinIndianaLincoln TownshipLincoln110100Tract 110100Perry TownshipPerryMiddle TownshipMiddleCenter TownshipCtrWayne TownshipWayneWashington TownshipWashingtonBuck Creek TownshipBuck CrkFall Creek TownshipFall CrkSugar Creek TownshipSugar CrkJackson TownshipJacksonWashington TownshipWashingtonWayne TownshipWayneAnderson TownshipAndersonAddison TownshipAddisonPleasant TownshipPleasantPipe Creek TownshipPipe CrkMonroe TownshipMonroeBrown TownshipBrownMonroe TownshipMonroeWarren TownshipWarrenMadison TownshipMadisonLiberty TownshipLibertyVernon TownshipVernonDecatur TownshipDecaturUnion TownshipUnionLafayette TownshipLafayetteCenter TownshipCtrAdams TownshipAdamsBlue River TownshipBlue Riv14.464790%14.464790%14.5%2,354110.452490%10.452490%10.5%6,33428.741189%8.741189%8.7%3,08837.306290%7.306290%7.3%6,87546.825205%6.825205%6.8%4,3516.792325%6.792325%6.8%13,25413.3k5.274318%5.274318%5.3%39855.209552%5.209552%5.2%1,20264.965820%4.965820%5.0%1,15574.833694%4.833694%4.8%2,45684.748543%4.748543%4.7%22094.298787%4.298787%4.3%202104.112669%4.112669%4.1%311113.481883%3.481883%3.5%8363.393793%3.393793%3.4%1,205123.336158%3.336158%3.3%7,127,6737.13M3.311452%3.311452%3.3%42,92542.9k3.220749%3.220749%3.2%945133.083448%3.083448%3.1%2,472142.893416%2.893416%2.9%1,311,0191.31M2.860317%2.860317%2.9%103152.855432%2.855432%2.9%896,039896k2.750035%2.750035%2.8%581162.693496%2.693496%2.7%340172.602914%2.602914%2.6%2,576182.520325%2.520325%2.5%93192.384582%2.384582%2.4%829202.361325%2.361325%2.4%338212.359248%2.359248%2.4%102,384102k2.306727%2.306727%2.3%478222.254642%2.254642%2.3%1532.212660%2.212660%2.2%1,630232.193283%2.193283%2.2%96242.182024%2.182024%2.2%386252.091807%2.091807%2.1%108262.043867%2.043867%2.0%629271.836087%1.836087%1.8%110281.633649%1.633649%1.6%174291.629387%1.629387%1.6%169301.578498%1.578498%1.6%111311.258885%1.258885%1.3%147321.183365%1.183365%1.2%1,040331.146524%1.146524%1.1%427341.132914%1.132914%1.1%153351.021890%1.021890%1.0%373360.987339%0.987339%1.0%85370.977927%0.977927%1.0%35380.946300%0.946300%0.9%83390.917737%0.917737%0.9%55400.840046%0.840046%0.8%559410.820306%0.820306%0.8%53420.802810%0.802810%0.8%32430.786503%0.786503%0.8%62440.581423%0.581423%0.6%123450.507692%0.507692%0.5%33460.279096%0.279096%0.3%10470.187406%0.187406%0.2%15480.168966%0.168966%0.2%6490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Wayne Township, selected other county subdivisions in the Indianapolis Area, and entities that contain the Wayne Township
Female
Male
2x0x2x4xFM#WayneBrownTract 110100Fall CrkGrnMiddleMonroeZIP 46060UnionNoblesvilleNeedhamJacksonLafayetteCtrGuilfordWarrenFranklinSugar CrkHamiltonAdamsWashingtonClay TownshipPerryLawrenceGreencastlePike TownshipWashingtonWayneMidwestEast North CentralUnited StatesFranklinIndianapolisIndianaVernonAndersonLincolnWashingtonHamilton SEDecaturRichlandWashingtonCtrWashingtonCtrPipe CrkBlue RivPleasantMonroeDelawareAddisonWhite RivCtrMadisonBrownBuck CrkFall CrkLibertyZionsville-1.000000x-1.000000x4.749328x4.749328x4.75x2.827%2.83%13.426%13.4%1-1.000000x-1.000000x3.297439x3.297439x3.30x1.295%1.30%4.271%4.27%2-1.000000x-1.000000x3.192164x3.192164x3.19x4.187%4.19%13.364%13.4%-1.000000x-1.000000x3.025527x3.025527x3.03x4.738%4.74%14.335%14.3%3-1.000000x-1.000000x1.976419x1.976419x1.98x4.110%4.11%8.122%8.12%4-1.000000x-1.000000x1.858926x1.858926x1.86x3.185%3.18%5.920%5.92%5-1.000000x-1.000000x1.845196x1.845196x1.85x5.304%5.30%9.787%9.79%6-1.000000x-1.000000x1.814941x1.814941x1.81x5.556%5.56%10.084%10.1%-1.000000x-1.000000x1.522249x1.522249x1.52x5.240%5.24%7.977%7.98%7-1.000000x-1.000000x1.368916x1.368916x1.37x5.278%5.28%7.225%7.22%8-1.000000x-1.000000x1.330995x1.330995x1.33x9.424%9.42%12.544%12.5%9-1.000000x-1.000000x1.328910x1.328910x1.33x6.168%6.17%8.196%8.20%10-1.000000x-1.000000x1.292384x1.292384x1.29x13.733%13.7%17.749%17.7%11-1.000000x-1.000000x1.249548x1.249548x1.25x11.410%11.4%14.257%14.3%12-1.000000x-1.000000x1.244710x1.244710x1.24x7.072%7.07%8.803%8.80%13-1.000000x-1.000000x1.242727x1.242727x1.24x13.919%13.9%17.298%17.3%14-1.000000x-1.000000x1.229379x1.229379x1.23x6.415%6.42%7.887%7.89%15-1.000000x-1.000000x1.227483x1.227483x1.23x4.265%4.27%5.235%5.24%16-1.000000x-1.000000x1.225460x1.225460x1.23x3.639%3.64%4.459%4.46%-1.000000x-1.000000x1.220739x1.220739x1.22x9.845%9.84%12.018%12.0%17-1.000000x-1.000000x1.218680x1.218680x1.22x4.077%4.08%4.969%4.97%18-1.000000x-1.000000x1.195034x1.195034x1.20x2.075%2.07%2.479%2.48%19-1.000000x-1.000000x1.184825x1.184825x1.18x13.166%13.2%15.600%15.6%20-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%21-1.000000x-1.000000x1.177250x1.177250x1.18x10.522%10.5%12.388%12.4%22-1.000000x-1.000000x1.134102x1.134102x1.13x9.351%9.35%10.605%10.6%23-1.000000x-1.000000x1.133942x1.133942x1.13x7.427%7.43%8.422%8.42%24-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%25-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106697x1.106697x1.11x10.768%10.8%11.916%11.9%26-1.000000x-1.000000x1.106374x1.106374x1.11x10.291%10.3%11.386%11.4%-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-1.000000x-1.000000x1.079572x1.079572x1.08x2.684%2.68%2.898%2.90%27-1.000000x-1.000000x1.055380x1.055380x1.06x14.413%14.4%15.211%15.2%28-1.000000x-1.000000x1.050809x1.050809x1.05x6.563%6.56%6.897%6.90%29-1.000000x-1.000000x1.048825x1.048825x1.05x13.855%13.9%14.531%14.5%30-1.000000x-1.000000x1.043999x1.043999x1.04x3.339%3.34%3.485%3.49%-1.000000x-1.000000x1.032740x1.032740x1.03x13.380%13.4%13.818%13.8%31-1.000000x-1.000000x1.015993x1.015993x1.02x9.534%9.53%9.687%9.69%32-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%33-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%34-1.022668x-1.022668x1.02x1.000000x1.000000x5.889%5.89%5.758%5.76%35-1.033237x-1.033237x1.03x1.000000x1.000000x8.594%8.59%8.318%8.32%36-1.070010x-1.070010x1.07x1.000000x1.000000x16.732%16.7%15.637%15.6%37-1.082344x-1.082344x1.08x1.000000x1.000000x21.697%21.7%20.046%20.0%38-1.102703x-1.102703x1.10x1.000000x1.000000x9.045%9.05%8.203%8.20%39-1.108105x-1.108105x1.11x1.000000x1.000000x15.330%15.3%13.835%13.8%40-1.142082x-1.142082x1.14x1.000000x1.000000x3.107%3.11%2.720%2.72%41-1.206739x-1.206739x1.21x1.000000x1.000000x17.322%17.3%14.354%14.4%42-1.236588x-1.236588x1.24x1.000000x1.000000x5.712%5.71%4.619%4.62%43-1.236617x-1.236617x1.24x1.000000x1.000000x5.729%5.73%4.632%4.63%44-1.268761x-1.268761x1.27x1.000000x1.000000x8.078%8.08%6.367%6.37%45-1.272789x-1.272789x1.27x1.000000x1.000000x13.283%13.3%10.436%10.4%46-1.368114x-1.368114x1.37x1.000000x1.000000x5.093%5.09%3.723%3.72%47-1.421606x-1.421606x1.42x1.000000x1.000000x3.566%3.57%2.508%2.51%48-1.470452x-1.470452x1.47x1.000000x1.000000x11.618%11.6%7.901%7.90%49-2.626911x-2.626911x2.63x1.000000x1.000000x2.902%2.90%1.105%1.10%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 Wayne Township, selected other county subdivisions in the Indianapolis Area, and entities that contain the Wayne Township
Female
Male
10x5x0x5x10xFM#CtrTract 110100NeedhamWashingtonWaynePipe CrkMonroeJacksonBuck CrkRichlandAndersonZIP 46060BrownCtrUnionMadisonWhite RivWashingtonLincolnClay TownshipWashingtonLawrenceFranklinDecaturIndianaHamiltonGreencastleWashingtonGrnEast North CentralMidwestZionsvilleIndianapolisFranklinUnited StatesPike TownshipPerrySugar CrkCtrHamilton SENoblesvilleDelawareFall CrkWarrenBrownWayneCtrPleasantLibertyGuilfordWashingtonMiddleAddisonFall CrkMonroeVernonLafayetteAdams-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.416%0.42%1-1.000000x-1.000000x5.785009x5.785009x5.79x0.658%0.66%3.806%3.81%-1.000000x-1.000000x5.606875x5.606875x5.61x1.450%1.45%8.129%8.13%2-1.000000x-1.000000x4.201696x4.201696x4.20x1.054%1.05%4.429%4.43%3-1.000000x-1.000000x4.131800x4.131800x4.13x0.829%0.83%3.426%3.43%4-1.000000x-1.000000x4.121698x4.121698x4.12x0.389%0.39%1.604%1.60%5-1.000000x-1.000000x3.512136x3.512136x3.51x0.428%0.43%1.505%1.50%6-1.000000x-1.000000x3.202694x3.202694x3.20x0.757%0.76%2.424%2.42%7-1.000000x-1.000000x3.063598x3.063598x3.06x0.914%0.91%2.801%2.80%8-1.000000x-1.000000x2.960768x2.960768x2.96x1.463%1.46%4.330%4.33%9-1.000000x-1.000000x2.902465x2.902465x2.90x0.606%0.61%1.760%1.76%10-1.000000x-1.000000x2.547976x2.547976x2.55x1.994%1.99%5.081%5.08%-1.000000x-1.000000x2.404295x2.404295x2.40x3.076%3.08%7.396%7.40%11-1.000000x-1.000000x2.289132x2.289132x2.29x1.373%1.37%3.144%3.14%12-1.000000x-1.000000x2.215305x2.215305x2.22x0.322%0.32%0.713%0.71%13-1.000000x-1.000000x2.116013x2.116013x2.12x0.535%0.53%1.131%1.13%14-1.000000x-1.000000x2.098144x2.098144x2.10x2.104%2.10%4.415%4.41%15-1.000000x-1.000000x2.074421x2.074421x2.07x0.829%0.83%1.719%1.72%16-1.000000x-1.000000x2.045976x2.045976x2.05x1.539%1.54%3.150%3.15%17-1.000000x-1.000000x1.973355x1.973355x1.97x7.159%7.16%14.128%14.1%18-1.000000x-1.000000x1.906040x1.906040x1.91x3.625%3.63%6.910%6.91%19-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%20-1.000000x-1.000000x1.797904x1.797904x1.80x1.730%1.73%3.110%3.11%21-1.000000x-1.000000x1.787156x1.787156x1.79x0.417%0.42%0.745%0.75%22-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.681135x1.681135x1.68x5.128%5.13%8.620%8.62%-1.000000x-1.000000x1.662125x1.662125x1.66x3.159%3.16%5.251%5.25%23-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%24-1.000000x-1.000000x1.604247x1.604247x1.60x3.321%3.32%5.328%5.33%25-1.000000x-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-1.000000x1.579993x1.579993x1.58x11.352%11.4%17.936%17.9%26-1.000000x-1.000000x1.553893x1.553893x1.55x2.618%2.62%4.069%4.07%-1.000000x-1.000000x1.539907x1.539907x1.54x1.871%1.87%2.882%2.88%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.518639x1.518639x1.52x3.926%3.93%5.963%5.96%28-1.000000x-1.000000x1.514015x1.514015x1.51x1.777%1.78%2.691%2.69%29-1.000000x-1.000000x1.499262x1.499262x1.50x1.318%1.32%1.976%1.98%30-1.000000x-1.000000x1.432170x1.432170x1.43x2.237%2.24%3.204%3.20%31-1.000000x-1.000000x1.368718x1.368718x1.37x5.803%5.80%7.943%7.94%-1.000000x-1.000000x1.361506x1.361506x1.36x2.903%2.90%3.953%3.95%32-1.000000x-1.000000x1.354365x1.354365x1.35x4.251%4.25%5.758%5.76%33-1.000000x-1.000000x1.329765x1.329765x1.33x7.550%7.55%10.040%10.0%34-1.000000x-1.000000x1.317700x1.317700x1.32x0.732%0.73%0.965%0.97%35-1.000000x-1.000000x1.279437x1.279437x1.28x0.842%0.84%1.077%1.08%36-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%37-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%38-1.000000x-1.000000x1.199817x1.199817x1.20x0.935%0.94%1.122%1.12%39-1.000000x-1.000000x1.153532x1.153532x1.15x0.743%0.74%0.857%0.86%40-1.039658x-1.039658x1.04x1.000000x1.000000x2.804%2.80%2.697%2.70%41-1.308468x-1.308468x1.31x1.000000x1.000000x2.305%2.31%1.762%1.76%42-1.387898x-1.387898x1.39x1.000000x1.000000x2.548%2.55%1.836%1.84%43-1.686755x-1.686755x1.69x1.000000x1.000000x1.397%1.40%0.828%0.83%44-2.204522x-2.204522x2.20x1.000000x1.000000x2.482%2.48%1.126%1.13%45-2.495812x-2.495812x2.50x1.000000x1.000000x1.396%1.40%0.559%0.56%46-2.864080x-2.864080x2.86x1.000000x1.000000x1.165%1.16%0.407%0.41%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.509%0.51%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.345%0.35%0.000%0%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 by male-to-female sex ratio

Educational Attainment by County Subdivision in Indiana

There are 1,012 county subdivisions in Indiana. This section compares the Wayne Township to the 50 most populous county subdivisions in Indiana 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 32,697.

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 Indiana, and entities that contain the Wayne Township
0%5%10%15%20%Count#Center TownshipCtrConcord TownshipConcordWayne TownshipWayneElkhart TownshipElkhartPortage TownshipPortageWayne TownshipWayneWayne TownshipWayneNorth TownshipNHarrison TownshipHarrisonWarren TownshipWarrenAdams TownshipAdamsHobart TownshipHobartAnderson TownshipAndersonCalumet TownshipCalumetPerry TownshipPerryCenter TownshipCtrDecatur TownshipDecaturNew Albany TownshipNew AlbanyCenter TownshipCtrUnited States of AmericaUnited StatesJeffersonville TownshipJeffersonvilleFairfield TownshipFairfieldIndianaWashington TownshipWashingtonPenn TownshipWea TownshipPortage TownshipPortageIndianapolis, Carmel, and Anderson Metro AreaIndianapolisEast North CentralKnight TownshipKnightMidwestLawrence TownshipLawrencePike TownshipRoss TownshipClay TownshipColumbus TownshipColumbus110100Tract 110100Pleasant TownshipPleasantBloomington TownshipBloomingtonWayne TownshipWayneZIP Code 46060ZIP 46060Center TownshipCtrFranklin TownshipFranklinSt. Joseph TownshipSt. JosephWashington TownshipWashingtonWabash TownshipWabashNoblesville TownshipNoblesvilleSt. John TownshipSt. JohnPerry TownshipPerryWashington TownshipWashingtonOhio TownshipWhite River TownshipWhite RivCenter TownshipCtrWashington TownshipWashingtonHamilton CountyHamiltonHamilton Southeastern SchoolsHamilton SEFall Creek TownshipFall CrkDelaware TownshipDelawareAboite TownshipAboiteClay Township23.165532%23.165532%23.2%22,92622.9k121.816299%21.816299%21.8%7,584221.037720%21.037720%21.0%18,48918.5k321.001088%21.001088%21.0%5,018419.418924%19.418924%19.4%10,54710.5k518.195035%18.195035%18.2%5,006617.532152%17.532152%17.5%11,56011.6k717.062713%17.062713%17.1%17,39117.4k815.973269%15.973269%16.0%4,876915.481486%15.481486%15.5%10,30210.3k1015.213692%15.213692%15.2%3,1291115.089946%15.089946%15.1%4,0181214.786671%14.786671%14.8%5,5071314.467691%14.467691%14.5%9,5291414.326632%14.326632%14.3%10,55410.6k1514.176197%14.176197%14.2%4,4751613.599622%13.599622%13.6%2,8771713.529737%13.529737%13.5%4,6431813.471419%13.471419%13.5%5,0341913.020590%13.020590%13.0%27,818,38027.8M13.003477%13.003477%13.0%5,4982012.444341%12.444341%12.4%4,2762111.923855%11.923855%11.9%517,458517k11.655058%11.655058%11.7%2,9452211.623484%11.623484%11.6%5,1952311.557160%11.557160%11.6%2,4012411.495287%11.495287%11.5%3,7072510.814583%10.814583%10.8%140,185140k10.719464%10.719464%10.7%3,363,7843.36M10.287806%10.287806%10.3%4,7222610.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161279.909467%9.909467%9.9%5,035289.596081%9.596081%9.6%3,193299.305117%9.305117%9.3%2,093309.026455%9.026455%9.0%2,890318.841733%8.841733%8.8%6008.654557%8.654557%8.7%3,159328.319071%8.319071%8.3%1,361337.979857%7.979857%8.0%4127.738442%7.738442%7.7%1,8587.616061%7.616061%7.6%2,113347.113476%7.113476%7.1%2,473357.107130%7.107130%7.1%3,467366.804680%6.804680%6.8%6,403376.335308%6.335308%6.3%1,476386.187687%6.187687%6.2%2,197395.972798%5.972798%6.0%2,793405.962782%5.962782%6.0%1,945415.826158%5.826158%5.8%1,793425.604955%5.604955%5.6%1,475435.183872%5.183872%5.2%1,521445.023085%5.023085%5.0%1,447454.507433%4.507433%4.5%1,040464.030092%4.030092%4.0%7,8643.408681%3.408681%3.4%2,1733.059982%3.059982%3.1%1,081472.923599%2.923599%2.9%680482.546689%2.546689%2.5%630492.265751%2.265751%2.3%1,37350
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 Wayne Township, selected other county subdivisions in Indiana, and entities that contain the Wayne Township
0%20%40%60%Count#Clay TownshipFall Creek TownshipFall CrkWabash TownshipWabashHamilton Southeastern SchoolsHamilton SEDelaware TownshipDelawareHamilton CountyHamiltonPerry TownshipPerryWashington TownshipWashingtonBloomington TownshipBloomingtonWashington TownshipWashingtonAboite TownshipAboiteWhite River TownshipWhite RivNoblesville TownshipNoblesvilleZIP Code 46060ZIP 46060Clay TownshipCenter TownshipCtrWashington TownshipWashingtonPike TownshipLawrence TownshipLawrenceWayne TownshipWayneColumbus TownshipColumbusOhio TownshipFranklin TownshipFranklin110100Tract 110100Indianapolis, Carmel, and Anderson Metro AreaIndianapolisSt. Joseph TownshipSt. JosephSt. John TownshipSt. JohnCenter TownshipCtrUnited States of AmericaUnited StatesMidwestEast North CentralFairfield TownshipFairfieldPleasant TownshipPleasantWea TownshipWashington TownshipWashingtonIndianaPerry TownshipPerryPenn TownshipKnight TownshipKnightRoss TownshipNew Albany TownshipNew AlbanyElkhart TownshipElkhartPortage TownshipPortageCenter TownshipCtrCenter TownshipCtrNorth TownshipNHarrison TownshipHarrisonWarren TownshipWarrenJeffersonville TownshipJeffersonvilleWayne TownshipWayneWayne TownshipWayneWayne TownshipWaynePortage TownshipPortageHobart TownshipHobartDecatur TownshipDecaturAnderson TownshipAndersonAdams TownshipAdamsCenter TownshipCtrConcord TownshipConcordCalumet TownshipCalumet68.328988%68.328988%68.3%41,40641.4k165.318312%65.318312%65.3%23,07523.1k261.284230%61.284230%61.3%14,27814.3k359.845645%59.845645%59.8%38,15138.2k56.851111%56.851111%56.9%13,22313.2k456.280877%56.280877%56.3%109,822110k55.639351%55.639351%55.6%18,14918.1k553.478091%53.478091%53.5%12,33912.3k653.202934%53.202934%53.2%8,704750.610540%50.610540%50.6%47,62347.6k850.044466%50.044466%50.0%12,38012.4k942.452541%42.452541%42.5%12,45612.5k1042.333690%42.333690%42.3%15,03115.0k1139.637651%39.637651%39.6%9,51739.376695%39.376695%39.4%8,8571239.368903%39.368903%39.4%11,34111.3k1338.953696%38.953696%39.0%11,98812.0k1437.193466%37.193466%37.2%18,89818.9k1536.577273%36.577273%36.6%29,32429.3k1635.889986%35.889986%35.9%1,85335.515507%35.515507%35.5%11,37111.4k1734.397325%34.397325%34.4%9,0521834.336258%34.336258%34.3%11,93711.9k1932.714412%32.714412%32.7%2,22032.189632%32.189632%32.2%417,261417k31.579271%31.579271%31.6%15,40515.4k2031.570506%31.570506%31.6%14,76314.8k2130.875144%30.875144%30.9%8,5662230.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.099357%26.099357%26.1%8,9682325.634914%25.634914%25.6%9,3572424.837545%24.837545%24.8%5,1602524.738800%24.738800%24.7%6,2512624.611498%24.611498%24.6%1,068,0621.07M24.563237%24.563237%24.6%18,09518.1k2724.367924%24.367924%24.4%10,89110.9k2823.643217%23.643217%23.6%10,85210.9k2923.381619%23.381619%23.4%7,7803023.320803%23.320803%23.3%8,0033122.511928%22.511928%22.5%5,3793221.836393%21.836393%21.8%11,86011.9k3321.823485%21.823485%21.8%8,1553420.139240%20.139240%20.1%19,93119.9k3519.650916%19.650916%19.7%20,02920.0k3619.262268%19.262268%19.3%5,8803719.034023%19.034023%19.0%12,66612.7k3818.228046%18.228046%18.2%7,7073917.915858%17.915858%17.9%11,81311.8k4016.897467%16.897467%16.9%4,6494116.826535%16.826535%16.8%14,78814.8k4215.836641%15.836641%15.8%5,1074315.364104%15.364104%15.4%4,0914415.140629%15.140629%15.1%3,2034514.996107%14.996107%15.0%5,5854614.654544%14.654544%14.7%3,0144714.280736%14.280736%14.3%4,5084813.804908%13.804908%13.8%4,7994913.054172%13.054172%13.1%8,59850
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 Wayne Township, selected other county subdivisions in Indiana, and entities that contain the Wayne Township
0%5%10%Count#Wabash TownshipWabashClay TownshipPerry TownshipPerryFall Creek TownshipFall CrkBloomington TownshipBloomingtonWashington TownshipWashingtonHamilton Southeastern SchoolsHamilton SEHamilton CountyHamiltonClay TownshipAboite TownshipAboiteWashington TownshipWashingtonCenter TownshipCtrDelaware TownshipDelawarePike TownshipOhio TownshipZIP Code 46060ZIP 46060Noblesville TownshipNoblesvilleUnited States of AmericaUnited StatesIndianapolis, Carmel, and Anderson Metro AreaIndianapolisWhite River TownshipWhite RivPortage TownshipPortageLawrence TownshipLawrenceMidwestEast North CentralSt. Joseph TownshipSt. JosephCenter TownshipCtrCenter TownshipCtrSt. John TownshipSt. JohnFairfield TownshipFairfieldCenter TownshipCtrColumbus TownshipColumbusFranklin TownshipFranklinIndiana110100Tract 110100Perry TownshipPerryKnight TownshipKnightElkhart TownshipElkhartWayne TownshipWayneHarrison TownshipHarrisonWashington TownshipWashingtonWayne TownshipWayneWashington TownshipWashingtonNew Albany TownshipNew AlbanyNorth TownshipNPenn TownshipJeffersonville TownshipJeffersonvilleWea TownshipRoss TownshipPortage TownshipPortageWayne TownshipWayneAnderson TownshipAndersonWayne TownshipWaynePleasant TownshipPleasantCenter TownshipCtrConcord TownshipConcordAdams TownshipAdamsWarren TownshipWarrenCalumet TownshipCalumetHobart TownshipHobartDecatur TownshipDecatur14.996995%14.996995%15.0%3,494110.452490%10.452490%10.5%6,334210.377387%10.377387%10.4%3,38538.741189%8.741189%8.7%3,08848.068460%8.068460%8.1%1,32057.306290%7.306290%7.3%6,87566.825205%6.825205%6.8%4,3516.792325%6.792325%6.8%13,25413.3k6.704308%6.704308%6.7%1,50876.269707%6.269707%6.3%1,55185.209552%5.209552%5.2%1,20295.016142%5.016142%5.0%1,445104.965820%4.965820%5.0%1,155114.833694%4.833694%4.8%2,456123.921569%3.921569%3.9%1,032133.481883%3.481883%3.5%8363.393793%3.393793%3.4%1,205143.336158%3.336158%3.3%7,127,6737.13M3.311452%3.311452%3.3%42,92542.9k3.220749%3.220749%3.2%945153.122641%3.122641%3.1%1,696163.083448%3.083448%3.1%2,472172.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.830962%2.830962%2.8%1,381182.676086%2.676086%2.7%1,000192.602914%2.602914%2.6%2,576202.564048%2.564048%2.6%1,199212.482466%2.482466%2.5%853222.454585%2.454585%2.5%681232.401849%2.401849%2.4%769242.384582%2.384582%2.4%829252.359248%2.359248%2.4%102,384102k2.254642%2.254642%2.3%1532.212660%2.212660%2.2%1,630262.146016%2.146016%2.1%985272.105131%2.105131%2.1%503282.091807%2.091807%2.1%1082.083470%2.083470%2.1%636292.043867%2.043867%2.0%629301.879112%1.879112%1.9%517311.800697%1.800697%1.8%455321.690124%1.690124%1.7%580331.575684%1.575684%1.6%1,606341.557256%1.557256%1.6%696351.506587%1.506587%1.5%637361.448857%1.448857%1.4%301371.412514%1.412514%1.4%470381.305507%1.305507%1.3%421391.183365%1.183365%1.2%1,040401.146524%1.146524%1.1%427411.143533%1.143533%1.1%754421.021890%1.021890%1.0%373430.953527%0.953527%1.0%301440.917642%0.917642%0.9%319450.875188%0.875188%0.9%180460.840046%0.840046%0.8%559470.816835%0.816835%0.8%538480.811207%0.811207%0.8%216490.581423%0.581423%0.6%12350
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 Wayne Township, selected other county subdivisions in Indiana, and entities that contain the Wayne Township
Female
Male
0x2x4xFM#WayneTract 110100ZIP 46060NoblesvilleWabashCtrWea TownshipAdamsWarrenFranklinElkhartHamiltonSt. JosephWashingtonWayneClay TownshipPerryLawrenceCalumetPenn TownshipJeffersonvilleOhio TownshipPike TownshipWayneMidwestPerryEast North CentralUnited StatesRoss TownshipIndianapolisIndianaNBloomingtonWashingtonKnightPortageAndersonHobartHamilton SEDecaturWashingtonCtrCtrWaynePortageWashingtonConcordNew AlbanyCtrFairfieldAboiteColumbusPleasantSt. JohnDelawareHarrisonCtrWhite RivClay TownshipFall Crk-1.000000x-1.000000x4.749328x4.749328x4.75x2.827%2.83%13.426%13.4%-1.000000x-1.000000x3.192164x3.192164x3.19x4.187%4.19%13.364%13.4%-1.000000x-1.000000x1.814941x1.814941x1.81x5.556%5.56%10.084%10.1%-1.000000x-1.000000x1.368916x1.368916x1.37x5.278%5.28%7.225%7.22%1-1.000000x-1.000000x1.315975x1.315975x1.32x5.455%5.46%7.179%7.18%2-1.000000x-1.000000x1.268582x1.268582x1.27x12.634%12.6%16.027%16.0%3-1.000000x-1.000000x1.261563x1.261563x1.26x10.300%10.3%12.994%13.0%4-1.000000x-1.000000x1.243110x1.243110x1.24x13.682%13.7%17.008%17.0%5-1.000000x-1.000000x1.242727x1.242727x1.24x13.919%13.9%17.298%17.3%6-1.000000x-1.000000x1.229379x1.229379x1.23x6.415%6.42%7.887%7.89%7-1.000000x-1.000000x1.228271x1.228271x1.23x18.842%18.8%23.143%23.1%8-1.000000x-1.000000x1.225460x1.225460x1.23x3.639%3.64%4.459%4.46%-1.000000x-1.000000x1.222685x1.222685x1.22x6.437%6.44%7.871%7.87%9-1.000000x-1.000000x1.218680x1.218680x1.22x4.077%4.08%4.969%4.97%10-1.000000x-1.000000x1.199569x1.199569x1.20x15.997%16.0%19.190%19.2%11-1.000000x-1.000000x1.195034x1.195034x1.20x2.075%2.07%2.479%2.48%12-1.000000x-1.000000x1.184825x1.184825x1.18x13.166%13.2%15.600%15.6%13-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%14-1.000000x-1.000000x1.168789x1.168789x1.17x13.469%13.5%15.743%15.7%15-1.000000x-1.000000x1.164733x1.164733x1.16x10.782%10.8%12.558%12.6%16-1.000000x-1.000000x1.161888x1.161888x1.16x12.085%12.1%14.041%14.0%17-1.000000x-1.000000x1.151492x1.151492x1.15x5.223%5.22%6.014%6.01%18-1.000000x-1.000000x1.134102x1.134102x1.13x9.351%9.35%10.605%10.6%19-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%20-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126339x1.126339x1.13x5.616%5.62%6.326%6.33%21-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106906x1.106906x1.11x9.131%9.13%10.107%10.1%22-1.000000x-1.000000x1.106374x1.106374x1.11x10.291%10.3%11.386%11.4%-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%23-1.000000x-1.000000x1.083251x1.083251x1.08x7.983%7.98%8.648%8.65%24-1.000000x-1.000000x1.081415x1.081415x1.08x11.208%11.2%12.121%12.1%25-1.000000x-1.000000x1.068180x1.068180x1.07x9.969%9.97%10.648%10.6%26-1.000000x-1.000000x1.056311x1.056311x1.06x18.916%18.9%19.981%20.0%27-1.000000x-1.000000x1.055380x1.055380x1.06x14.413%14.4%15.211%15.2%28-1.000000x-1.000000x1.049767x1.049767x1.05x14.731%14.7%15.464%15.5%29-1.000000x-1.000000x1.043999x1.043999x1.04x3.339%3.34%3.485%3.49%-1.000000x-1.000000x1.032740x1.032740x1.03x13.380%13.4%13.818%13.8%30-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%31-1.000000x-1.000000x1.010381x1.010381x1.01x13.405%13.4%13.544%13.5%32-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%33-1.011355x-1.011355x1.01x1.000000x1.000000x18.290%18.3%18.085%18.1%34-1.015833x-1.015833x1.02x1.000000x1.000000x11.580%11.6%11.399%11.4%35-1.022668x-1.022668x1.02x1.000000x1.000000x5.889%5.89%5.758%5.76%36-1.025563x-1.025563x1.03x1.000000x1.000000x22.081%22.1%21.530%21.5%37-1.038459x-1.038459x1.04x1.000000x1.000000x13.769%13.8%13.259%13.3%38-1.071041x-1.071041x1.07x1.000000x1.000000x5.189%5.19%4.845%4.84%39-1.089549x-1.089549x1.09x1.000000x1.000000x12.962%13.0%11.897%11.9%40-1.093153x-1.093153x1.09x1.000000x1.000000x2.650%2.65%2.424%2.42%41-1.099707x-1.099707x1.10x1.000000x1.000000x9.439%9.44%8.583%8.58%42-1.102703x-1.102703x1.10x1.000000x1.000000x9.045%9.05%8.203%8.20%43-1.112325x-1.112325x1.11x1.000000x1.000000x6.278%6.28%5.644%5.64%44-1.142082x-1.142082x1.14x1.000000x1.000000x3.107%3.11%2.720%2.72%45-1.170944x-1.170944x1.17x1.000000x1.000000x17.156%17.2%14.651%14.7%46-1.194691x-1.194691x1.19x1.000000x1.000000x8.269%8.27%6.921%6.92%47-1.236588x-1.236588x1.24x1.000000x1.000000x5.712%5.71%4.619%4.62%48-1.340641x-1.340641x1.34x1.000000x1.000000x10.604%10.6%7.910%7.91%49-1.421606x-1.421606x1.42x1.000000x1.000000x3.566%3.57%2.508%2.51%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 Wayne Township, selected other county subdivisions in Indiana, and entities that contain the Wayne Township
Female
Male
0x2x4xFM#Tract 110100AdamsCtrConcordWayneClay TownshipOhio TownshipAboiteAndersonZIP 46060CtrNWhite RivSt. JosephClay TownshipCtrWabashColumbusWashingtonLawrenceSt. JohnWayneFranklinDecaturPenn TownshipIndianaHamiltonNew AlbanyPerryWashingtonKnightEast North CentralMidwestIndianapolisRoss TownshipUnited StatesPike TownshipPerryWayneFairfieldPortageHamilton SENoblesvilleDelawareFall CrkWarrenWayneCtrBloomingtonPleasantElkhartJeffersonvilleHarrisonHobartWea TownshipPortageCalumetCtrWashingtonWashington-1.000000x-1.000000x5.785009x5.785009x5.79x0.658%0.66%3.806%3.81%-1.000000x-1.000000x5.217819x5.217819x5.22x0.297%0.30%1.552%1.55%1-1.000000x-1.000000x4.920548x4.920548x4.92x0.343%0.34%1.686%1.69%2-1.000000x-1.000000x4.308574x4.308574x4.31x0.354%0.35%1.527%1.53%3-1.000000x-1.000000x4.131800x4.131800x4.13x0.829%0.83%3.426%3.43%-1.000000x-1.000000x3.730733x3.730733x3.73x2.894%2.89%10.796%10.8%4-1.000000x-1.000000x2.941854x2.941854x2.94x2.023%2.02%5.951%5.95%5-1.000000x-1.000000x2.935012x2.935012x2.94x3.322%3.32%9.751%9.75%6-1.000000x-1.000000x2.902465x2.902465x2.90x0.606%0.61%1.760%1.76%7-1.000000x-1.000000x2.547976x2.547976x2.55x1.994%1.99%5.081%5.08%-1.000000x-1.000000x2.143087x2.143087x2.14x1.728%1.73%3.704%3.70%8-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%9-1.000000x-1.000000x2.098144x2.098144x2.10x2.104%2.10%4.415%4.41%10-1.000000x-1.000000x1.977884x1.977884x1.98x1.943%1.94%3.843%3.84%11-1.000000x-1.000000x1.973355x1.973355x1.97x7.159%7.16%14.128%14.1%12-1.000000x-1.000000x1.956253x1.956253x1.96x3.435%3.43%6.719%6.72%13-1.000000x-1.000000x1.928515x1.928515x1.93x10.174%10.2%19.620%19.6%14-1.000000x-1.000000x1.918490x1.918490x1.92x1.665%1.66%3.194%3.19%15-1.000000x-1.000000x1.906040x1.906040x1.91x3.625%3.63%6.910%6.91%16-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%17-1.000000x-1.000000x1.837195x1.837195x1.84x1.827%1.83%3.357%3.36%18-1.000000x-1.000000x1.820086x1.820086x1.82x1.362%1.36%2.478%2.48%19-1.000000x-1.000000x1.797904x1.797904x1.80x1.730%1.73%3.110%3.11%20-1.000000x-1.000000x1.787156x1.787156x1.79x0.417%0.42%0.745%0.75%21-1.000000x-1.000000x1.709561x1.709561x1.71x1.165%1.17%1.992%1.99%22-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.681135x1.681135x1.68x5.128%5.13%8.620%8.62%-1.000000x-1.000000x1.657824x1.657824x1.66x1.291%1.29%2.141%2.14%23-1.000000x-1.000000x1.654297x1.654297x1.65x7.864%7.86%13.009%13.0%24-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%25-1.000000x-1.000000x1.605585x1.605585x1.61x1.671%1.67%2.683%2.68%26-1.000000x-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-1.000000x1.553893x1.553893x1.55x2.618%2.62%4.069%4.07%-1.000000x-1.000000x1.536785x1.536785x1.54x1.125%1.12%1.729%1.73%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.518639x1.518639x1.52x3.926%3.93%5.963%5.96%28-1.000000x-1.000000x1.514015x1.514015x1.51x1.777%1.78%2.691%2.69%29-1.000000x-1.000000x1.497053x1.497053x1.50x0.923%0.92%1.382%1.38%30-1.000000x-1.000000x1.446563x1.446563x1.45x2.040%2.04%2.950%2.95%31-1.000000x-1.000000x1.417405x1.417405x1.42x2.609%2.61%3.697%3.70%32-1.000000x-1.000000x1.368718x1.368718x1.37x5.803%5.80%7.943%7.94%-1.000000x-1.000000x1.361506x1.361506x1.36x2.903%2.90%3.953%3.95%33-1.000000x-1.000000x1.354365x1.354365x1.35x4.251%4.25%5.758%5.76%34-1.000000x-1.000000x1.329765x1.329765x1.33x7.550%7.55%10.040%10.0%35-1.000000x-1.000000x1.317700x1.317700x1.32x0.732%0.73%0.965%0.97%36-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%37-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%38-1.000000x-1.000000x1.199873x1.199873x1.20x7.328%7.33%8.793%8.79%39-1.000000x-1.000000x1.199817x1.199817x1.20x0.935%0.94%1.122%1.12%40-1.000000x-1.000000x1.149524x1.149524x1.15x1.958%1.96%2.251%2.25%41-1.000000x-1.000000x1.147252x1.147252x1.15x1.409%1.41%1.617%1.62%42-1.000000x-1.000000x1.131803x1.131803x1.13x1.961%1.96%2.220%2.22%43-1.000000x-1.000000x1.103144x1.103144x1.10x0.772%0.77%0.852%0.85%44-1.000000x-1.000000x1.090487x1.090487x1.09x1.390%1.39%1.516%1.52%45-1.000000x-1.000000x1.050088x1.050088x1.05x1.276%1.28%1.340%1.34%46-1.064408x-1.064408x1.06x1.000000x1.000000x0.839%0.84%0.788%0.79%47-1.164720x-1.164720x1.16x1.000000x1.000000x2.635%2.64%2.262%2.26%48-1.189996x-1.189996x1.19x1.000000x1.000000x1.953%1.95%1.641%1.64%49-1.308468x-1.308468x1.31x1.000000x1.000000x2.305%2.31%1.762%1.76%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the 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. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleIndianaColumbusMaine TownshipMaineTopekaMinneapolisIndianapolis, Carmel, and Anderson Metro AreaIndianapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux Falls110100Tract 110100Capital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineWayne TownshipWayneSchaumburg TownshipSchaumburgZIP Code 46060ZIP 46060LincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonHamilton CountyHamiltonDowners Grove TownshipDowners GrvLisle TownshipLisleHamilton Southeastern SchoolsHamilton SEOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.923855%11.923855%11.9%517,458517k11.376979%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%29,34729.3k3010.814583%10.814583%10.8%140,185140k10.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.841733%8.841733%8.8%6008.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.979857%7.979857%8.0%4127.739434%7.739434%7.7%7,226387.738442%7.738442%7.7%1,8587.092309%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%7,351464.030092%4.030092%4.0%7,8644.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.408681%3.408681%3.4%2,1733.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#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 ArborHamilton Southeastern SchoolsHamilton SEOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonHamilton CountyHamiltonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulZIP Code 46060ZIP 46060Maine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalWayne TownshipWayneColumbusOmahaCincinnatiSt. LouisGrand Rapids110100Tract 110100Bloomingdale TownshipBloomingdaleIndianapolis, Carmel, and Anderson Metro AreaIndianapolisCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthIndianaMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k159.845645%59.845645%59.8%38,15138.2k58.823344%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%85,63285.6k556.280877%56.280877%56.3%109,822110k53.762123%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%74,08874.1k1539.637651%39.637651%39.6%9,51739.511462%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%28,78028.8k2135.889986%35.889986%35.9%1,85334.685843%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%39,86339.9k2632.714412%32.714412%32.7%2,22032.623147%32.623147%32.6%25,12725.1k2732.189632%32.189632%32.2%417,261417k31.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3524.611498%24.611498%24.6%1,068,0621.07M23.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 TownshipWashingtonHamilton Southeastern SchoolsHamilton SEHamilton CountyHamiltonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineZIP Code 46060ZIP 46060Wheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesIndianapolis, Carmel, and Anderson Metro AreaIndianapolisTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaIndiana110100Tract 110100Proviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleWayne TownshipWayneRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.825205%6.825205%6.8%4,3516.792325%6.792325%6.8%13,25413.3k6.241155%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%2,782203.481883%3.481883%3.5%8363.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.311452%3.311452%3.3%42,92542.9k3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.359248%2.359248%2.4%102,384102k2.254642%2.254642%2.3%1532.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.091807%2.091807%2.1%1082.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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
1x0x1x2x3x4xFM#WayneTract 110100ZIP 46060Cedar RapidsLincolnDetroitOmahaToledoHamiltonThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheIndianapolisIndianaWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandHamilton SEPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x4.749328x4.749328x4.75x2.827%2.83%13.426%13.4%-1.000000x-1.000000x3.192164x3.192164x3.19x4.187%4.19%13.364%13.4%-1.000000x-1.000000x1.814941x1.814941x1.81x5.556%5.56%10.084%10.1%-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-1.000000x1.225460x1.225460x1.23x3.639%3.64%4.459%4.46%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.106374x1.106374x1.11x10.291%10.3%11.386%11.4%-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-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-1.000000x1.043999x1.043999x1.04x3.339%3.34%3.485%3.49%-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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
0x2x4xFM#Tract 110100WayneZIP 46060RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonIndianaGrand RapidsHamiltonOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityIndianapolisAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipHamilton SEMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x5.785009x5.785009x5.79x0.658%0.66%3.806%3.81%-1.000000x-1.000000x4.131800x4.131800x4.13x0.829%0.83%3.426%3.43%-1.000000x-1.000000x2.547976x2.547976x2.55x1.994%1.99%5.081%5.08%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.681135x1.681135x1.68x5.128%5.13%8.620%8.62%-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.553893x1.553893x1.55x2.618%2.62%4.069%4.07%-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-1.000000x1.368718x1.368718x1.37x5.803%5.80%7.943%7.94%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares 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 VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueIndianaTownship 1:Charlotte1, CharlotteColumbusTulsaIndianapolis, Carmel, and Anderson Metro AreaIndianapolisEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlanta110100Tract 110100SeattleNortheast TarrantNE TarrantWayne TownshipWayneZIP Code 46060ZIP 46060PlanoSeattle EastHamilton CountyHamiltonHamilton Southeastern SchoolsHamilton SE28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.923855%11.923855%11.9%517,458517k11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.814583%10.814583%10.8%140,185140k10.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.841733%8.841733%8.8%6008.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.979857%7.979857%8.0%4127.738442%7.738442%7.7%1,8585.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.030092%4.030092%4.0%7,8643.408681%3.408681%3.4%2,173
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 Wayne Township, selected other county subdivisions in the United States, and entities that contain the Wayne Township
0%20%40%60%Count#ManhattanHamilton Southeastern SchoolsHamilton SESeattle EastHamilton CountyHamiltonWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteZIP Code 46060ZIP 46060Town of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoWayne TownshipWayneColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk City110100Tract 110100AlbuquerqueTampaIndianapolis, Carmel, and Anderson Metro AreaIndianapolisTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthIndianaSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k159.845645%59.845645%59.8%38,15138.2k57.691220%57.691220%57.7%238,638239k256.280877%56.280877%56.3%109,822110k55.360186%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%223,068223k1239.637651%39.637651%39.6%9,51738.767308%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%669,666670k1735.889986%35.889986%35.9%1,85334.685843%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%204,048204k2332.714412%32.714412%32.7%2,22032.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.189632%32.189632%32.2%417,261417k32.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4124.611498%24.611498%24.6%1,068,0621.07M23.764821%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 Wayne Township, selected other county subdivisions in the United States, and entities that contain the Wayne Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaHamilton Southeastern SchoolsHamilton SEHamilton CountyHamiltonSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteZIP Code 46060ZIP 46060Oceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesIndianapolis, Carmel, and Anderson Metro AreaIndianapolisTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyIndianaOntario110100Tract 110100Fort WorthLas VegasWayne TownshipWayneMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.825205%6.825205%6.8%4,3516.792325%6.792325%6.8%13,25413.3k6.641855%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%18,54218.5k263.481883%3.481883%3.5%8363.466073%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%7,127,6737.13M3.311452%3.311452%3.3%42,92542.9k3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.359248%2.359248%2.4%102,384102k2.324315%2.324315%2.3%9,688412.254642%2.254642%2.3%1532.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.091807%2.091807%2.1%1082.043126%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 Wayne Township, selected other county subdivisions in the United States, and entities that contain the Wayne Township
Female
Male
0x2x4xFM#WayneTract 110100ZIP 460601, CharlotteDetroitHamiltonBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeUnited StatesIndianapolisIndianaNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverHamilton SENE 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-1.000000x4.749328x4.749328x4.75x2.827%2.83%13.426%13.4%-1.000000x-1.000000x3.192164x3.192164x3.19x4.187%4.19%13.364%13.4%-1.000000x-1.000000x1.814941x1.814941x1.81x5.556%5.56%10.084%10.1%-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-1.000000x1.225460x1.225460x1.23x3.639%3.64%4.459%4.46%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.106374x1.106374x1.11x10.291%10.3%11.386%11.4%-1.000000x-1.000000x1.101821x1.101821x1.10x11.365%11.4%12.522%12.5%-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-1.000000x1.043999x1.043999x1.04x3.339%3.34%3.485%3.49%-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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
0x2x4xFM#Tract 110100WayneZIP 46060El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasIndianaFort WorthHamiltonOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastIndianapolisSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaHamilton SEMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x5.785009x5.785009x5.79x0.658%0.66%3.806%3.81%-1.000000x-1.000000x4.131800x4.131800x4.13x0.829%0.83%3.426%3.43%-1.000000x-1.000000x2.547976x2.547976x2.55x1.994%1.99%5.081%5.08%-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-1.000000x1.691858x1.691858x1.69x1.769%1.77%2.992%2.99%-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.681135x1.681135x1.68x5.128%5.13%8.620%8.62%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.553893x1.553893x1.55x2.618%2.62%4.069%4.07%-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%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-1.000000x1.368718x1.368718x1.37x5.803%5.80%7.943%7.94%-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:
Indiana
County:
Hamilton
Metro Area:
Indianapolis Area
City:
Noblesville
ZIP Code:
46060
Unified School District:
Hamilton Southeastern
Congressional District:
IN-5
State Senate District:
IN-20
State House District:
IN-29
Neighboring Townships:
Fall Creek, Green, Jackson, Noblesville, Stony Creek, White River
Nearby Townships:
Anderson, Delaware, Fall Creek, Green, Jackson, Lafayette, Lawrence, Pipe Creek, Vernon, Washington