Educational Attainment in the Chelsea Township, Butler County, Kansas (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Butler County and the Chelsea Township
Chelsea Township
Butler County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma231.578947%38.471172%31.578947%31.6%6063.157895%54.292871%63.157895%63.2%1205.263158%7.235957%5.263158%5.3%10
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 Butler County at large.
Scope: population of Butler County and the Chelsea Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-17.915297%-17.915297%-17.9%31.579%31.6%38.471%38.5%16.328155%16.328155%+16.3%63.158%63.2%54.293%54.3%-27.263833%-27.263833%-27.3%5.263%5.26%7.236%7.24%
% percentage with given level in the Chelsea Township
ref. percentage with given level in Butler 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 Butler County and the Chelsea Township
Chelsea Township
Butler County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.642423%01.578947%0.892899%1.578947%1.6%32.105263%7.950276%2.105263%2.1%414.210526%19.119625%14.210526%14.2%2713.684211%9.865949%13.684211%13.7%2626.315789%27.728559%26.315789%26.3%5036.842105%26.564312%36.842105%36.8%703.684211%5.482629%3.684211%3.7%70.000000%0.000000%0.0%1.308038%01.578947%0.445290%1.578947%1.6%3
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 Butler County at large.
Scope: population of Butler County and the Chelsea Township
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.642%0.64%76.833903%76.833903%+76.8%1.579%1.58%0.893%0.89%-73.519622%-73.519622%-73.5%2.105%2.11%7.950%7.95%-25.675707%-25.675707%-25.7%14.211%14.2%19.120%19.1%38.701408%38.701408%+38.7%13.684%13.7%9.866%9.87%-5.094997%-5.094997%-5.1%26.316%26.3%27.729%27.7%38.690230%38.690230%+38.7%36.842%36.8%26.564%26.6%-32.802120%-32.802120%-32.8%3.684%3.68%5.483%5.48%-100.000000%-100.000000%-100.0%0.000%0%1.308%1.31%254.588816%254.588816%+254.6%1.579%1.58%0.445%0.45%
% percentage with given level in the Chelsea Township
ref. percentage with given level in Butler 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 Butler County and the Chelsea Township
More Females More Males
Butler County
Chelsea Township
20%0%20%40%60%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-28.629032%-11.599449%-28.629032%29%36.250%36.3%28.182%28.2%9.090909%2.841315%9.090909%9%60.000%60.0%65.455%65.5%69.696970%45.610643%69.696970%70%3.750%3.75%6.364%6.36%
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 Butler County and the Chelsea Township
More Females More Males
Butler County
Chelsea Township
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3None1,000.000000%113.216607%1,000.000000%> 1000%0.000%0%2.727%2.73%-1,000.000000%-35.649535%-1,000.000000%> 1000%5.000%5.00%0.000%0%-3.102820%5.785124%5.785124%0k%13.750%13.8%14.545%14.5%-60.416667%-18.138965%-60.416667%0k%17.500%17.5%10.909%10.9%41.176471%2.782712%41.176471%0k%21.250%21.3%30.000%30.0%-9.294872%-9.294872%0k%2.902522%38.750%38.8%35.455%35.5%1,000.000000%60.892967%1,000.000000%> 1000%0.000%0%6.364%6.36%-1,000.000000%-1,000.000000%> 1000%21.145800%3.750%3.75%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Butler County and the Chelsea Township
Chelsea Township
Butler County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3421.621622%9.621844%21.621622%21.6%83716.101695%20.192201%16.101695%16.1%191180.000000%0.000000%0.0%21.934704%0230.000000%0.000000%0.0%25.036103%012
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 Butler County at large.
Scope: population of Butler County and the Chelsea Township
100%50%0%50%100%%ref.65+45-6435-4425-34124.713903%124.713903%124.7%21.622%21.6%9.622%9.62%-20.257851%-20.257851%20.3%16.102%16.1%20.192%20.2%-100.000000%-100.000000%100.0%0.000%0%21.935%21.9%-100.000000%-100.000000%100.0%0.000%0%25.036%25.0%
% percentage in the Chelsea Township with a Bachelor's degree
ref percentage in Butler 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 Butler County and the Chelsea Township
More Females More Males
Butler County
Chelsea Township
20%0%20%40%60%FM65+45-64-31.250000%-31.250000%31.3%76.336798%25.000%25.0%19.048%19.0%65.714286%9.914026%65.714286%65.7%12.069%12.1%20.000%20.0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Butler County and the Chelsea Township
Chelsea Township
Butler County
$0k$10k$20k$30k$40k$50kCount%Some CollegeH.S. Diploma2Total$48,750.000000$33,318.000000$48,750.000000$48.8k7640.000%40.0%$53,333.000000$32,235.000000$53,333.000000$53.3k7036.842%36.8%$48,393.000000$40,242.000000$48,393.000000$48.4k190100.000%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 Butler County and the Chelsea Township
Female Male
Butler County
Chelsea Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeTotal$-26,944.000000$-24,547.000000$-26,944.000000$26.9k$26,944.000000$22,768.000000$24,547.000000$22,413.000000$49,712.000000$49.7k3145$-28,750.000000$-27,723.000000$-28,750.000000$28.8k$28,750.000000$20,833.000000$27,723.000000$22,499.000000$49,583.000000$49.6k80110
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 Butler County and the Chelsea Township
Chelsea Township
Butler County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma382.608696%85.183820%82.608696%82.6%1987.878788%79.178145%87.878788%87.9%5849.122807%64.336463%49.122807%49.1%2857.142857%41.658677%57.142857%57.1%4
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 Butler County and the Chelsea Township
Female Male
Butler County
Chelsea Township
Shaded bar tips show excess over facing bar.
10%5%0%5%MFWhite1Other1-4.109589%-5.473467%-4.109589%4.1%4.109589%2.371892%5.473467%1.266069%6.481481%6.5%73-0.000000%-7.203390%-3.722536%0.000000%0.0%0.000000%0.000000%7.203390%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Butler County and the Chelsea Township
Female Male
Butler County
Chelsea Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1Other1-17.592593%-2.955353%-28.128885%-1.889278%-20.547945%20.5%17.592593%28.128885%17.592593%17.6%1915-0.000000%-15.254237%-8.819837%0.000000%0.0%0.000000%0.000000%15.254237%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Wichita Area

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

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Chelsea Township, selected other county subdivisions in the Wichita Area, and entities that contain the Chelsea Township
0%5%10%15%20%Count#Prospect TownshipProspect020100Tract 020100United States of AmericaUnited StatesWichitaLittle Walnut TownshipLittle WalnutKingmanConway TownshipConwayNewtonRiverside TownshipRiversideWichita Metro AreaWichita AreaMidwestAugustaHalsteadKansasAttica TownshipAtticaWellingtonEagle TownshipEagleMilton TownshipMiltonWest North CentralOhio TownshipSalem TownshipSalemKechi TownshipKechiIllinois TownshipIllinoisEl DoradoDouglass TownshipDouglassCaldwellValley Center TownshipVly CtrPark TownshipGreeley TownshipGreeleyButler CountyButlerGore TownshipRichland TownshipRichlandBelle Plaine TownshipBelle PlaineWaco TownshipSedgwick TownshipSedgwickBurrton TownshipBurrtonNewton TownshipNewtonEmma TownshipNinnescah TownshipNinnescahMorton TownshipMortonGypsum TownshipGypsumChelsea TownshipChelseaOxford TownshipOxfordPleasant TownshipPleasantGarden Plain TownshipGdn PlainTowanda TownshipTowandaSpring TownshipSpgBruno TownshipBrunoAugusta TownshipAugustaPayne TownshipPayneRockford TownshipRockfordAfton TownshipAftonGrant TownshipGrantMinneha TownshipMinnehaSherman TownshipShermanUnion TownshipUnionBenton TownshipBentonBel Aire22.504990%22.504990%22.5%451114.996740%14.996740%15.0%69013.020590%13.020590%13.0%27,818,38027.8M12.568464%12.568464%12.6%31,23131.2k211.954993%11.954993%12.0%85311.852861%11.852861%11.9%261411.059908%11.059908%11.1%96510.761381%10.761381%10.8%1,371610.505186%10.505186%10.5%942710.404141%10.404141%10.4%42,95143.0k10.244520%10.244520%10.2%4,641,8354.64M10.146444%10.146444%10.1%58289.977324%9.977324%10.0%13299.691216%9.691216%9.7%182,049182k9.598433%9.598433%9.6%392109.444135%9.444135%9.4%508119.355247%9.355247%9.4%74129.244992%9.244992%9.2%60139.174633%9.174633%9.2%1,278,0511.28M9.117433%9.117433%9.1%125148.603845%8.603845%8.6%546158.502773%8.502773%8.5%506168.458961%8.458961%8.5%101178.221457%8.221457%8.2%692187.858546%7.858546%7.9%120197.750000%7.750000%7.8%62207.589880%7.589880%7.6%228217.529813%7.529813%7.5%221227.331378%7.331378%7.3%50237.235957%7.235957%7.2%3,1207.168204%7.168204%7.2%101247.116883%7.116883%7.1%137257.035647%7.035647%7.0%150266.698565%6.698565%6.7%42276.611570%6.611570%6.6%72286.027397%6.027397%6.0%44295.829285%5.829285%5.8%84305.659099%5.659099%5.7%167315.615454%5.615454%5.6%125325.555556%5.555556%5.6%99335.417892%5.417892%5.4%258345.263158%5.263158%5.3%104.413473%4.413473%4.4%38354.135894%4.135894%4.1%140364.056795%4.056795%4.1%40374.052288%4.052288%4.1%62383.890641%3.890641%3.9%37393.841537%3.841537%3.8%352403.674280%3.674280%3.7%37413.474903%3.474903%3.5%27423.398651%3.398651%3.4%529432.891791%2.891791%2.9%31442.746212%2.746212%2.7%87452.362205%2.362205%2.4%60461.907969%1.907969%1.9%17471.893171%1.893171%1.9%28481.646904%1.646904%1.6%25491.585994%1.585994%1.6%7750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Chelsea Township, selected other county subdivisions in the Wichita Area, and entities that contain the Chelsea Township
0%20%40%60%Count#Minneha TownshipMinnehaBel AirePayne TownshipPayneBruno TownshipBrunoGrant TownshipGrantAfton TownshipAftonNewton TownshipNewtonEmma TownshipRockford TownshipRockfordMilton TownshipMiltonBenton TownshipBentonAttica TownshipAtticaValley Center TownshipVly CtrSherman TownshipShermanOhio TownshipUnion TownshipUnionGypsum TownshipGypsumPleasant TownshipPleasantNinnescah TownshipNinnescahKansasGarden Plain TownshipGdn PlainUnited States of AmericaUnited StatesAugusta TownshipAugustaWest North CentralMorton TownshipMortonWichita Metro AreaWichita AreaMidwestWichitaButler CountyButlerRichland TownshipRichlandKechi TownshipKechiPark TownshipSpring TownshipSpgTowanda TownshipTowandaIllinois TownshipIllinoisOxford TownshipOxfordNewtonAugustaHalsteadWaco TownshipSedgwick TownshipSedgwickEl DoradoGore TownshipDouglass TownshipDouglassBurrton TownshipBurrtonGreeley TownshipGreeleyConway TownshipConwayRiverside TownshipRiversideKingmanWellingtonEagle TownshipEagleChelsea TownshipChelseaCaldwellBelle Plaine TownshipBelle Plaine020100Tract 020100Little Walnut TownshipLittle WalnutSalem TownshipSalemProspect TownshipProspect66.574803%66.574803%66.6%1,691155.756952%55.756952%55.8%2,707246.718147%46.718147%46.7%363343.599258%43.599258%43.6%3,995443.276515%43.276515%43.3%1,371542.817164%42.817164%42.8%459642.609299%42.609299%42.6%614742.053541%42.053541%42.1%1,241841.336332%41.336332%41.3%6,434938.828968%38.828968%38.8%2521038.669302%38.669302%38.7%5871136.263467%36.263467%36.3%1,4811235.785619%35.785619%35.8%1,0751334.792368%34.792368%34.8%3101434.792123%34.792123%34.8%4771533.806626%33.806626%33.8%5001633.536329%33.536329%33.5%1,5971733.500739%33.500739%33.5%1,1341832.030548%32.030548%32.0%7131931.610465%31.610465%31.6%593,801594k31.541582%31.541582%31.5%3112030.315023%30.315023%30.3%64,767,78764.8M30.089374%30.089374%30.1%3032130.056536%30.056536%30.1%4,186,9564.19M29.461279%29.461279%29.5%5252229.268021%29.268021%29.3%120,826121k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k2328.605223%28.605223%28.6%12,33412.3k27.220779%27.220779%27.2%5242427.188708%27.188708%27.2%1,6182527.018739%27.018739%27.0%7932626.813880%26.813880%26.8%2552726.274510%26.274510%26.3%4022825.209380%25.209380%25.2%3012924.854820%24.854820%24.9%2143024.513344%24.513344%24.5%3,1233122.960251%22.960251%23.0%1,3173222.902494%22.902494%22.9%3033322.328549%22.328549%22.3%1403421.854913%21.854913%21.9%2383521.527860%21.527860%21.5%1,8123621.149752%21.149752%21.1%2983720.825147%20.825147%20.8%3183820.684932%20.684932%20.7%1513920.674487%20.674487%20.7%1414019.930876%19.930876%19.9%1734119.348723%19.348723%19.3%1,7354218.846503%18.846503%18.8%4154318.293363%18.293363%18.3%9844417.951960%17.951960%18.0%1424517.894737%17.894737%17.9%3417.125000%17.125000%17.1%1374615.900563%15.900563%15.9%3394715.148881%15.148881%15.1%69713.783404%13.783404%13.8%984813.063347%13.063347%13.1%829496.387226%6.387226%6.4%12850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Chelsea Township, selected other county subdivisions in the Wichita Area, and entities that contain the Chelsea Township
0%5%10%Count#Minneha TownshipMinnehaNewton TownshipNewtonBel AireBenton TownshipBentonBruno TownshipBrunoUnited States of AmericaUnited StatesHalsteadKansasWest North CentralPayne TownshipPayneMidwestPleasant TownshipPleasantWichitaEmma TownshipWichita Metro AreaWichita AreaWellingtonKechi TownshipKechiGarden Plain TownshipGdn PlainAfton TownshipAftonNewtonMilton TownshipMiltonAttica TownshipAtticaRockford TownshipRockfordGypsum TownshipGypsumChelsea TownshipChelseaRichland TownshipRichlandButler CountyButlerOxford TownshipOxfordConway TownshipConwayIllinois TownshipIllinoisBurrton TownshipBurrtonGrant TownshipGrantNinnescah TownshipNinnescahRiverside TownshipRiversideValley Center TownshipVly CtrPark TownshipEl DoradoSherman TownshipShermanEagle TownshipEagleGreeley TownshipGreeleyTowanda TownshipTowanda020100Tract 020100CaldwellSedgwick TownshipSedgwickProspect TownshipProspectUnion TownshipUnionSalem TownshipSalemMorton TownshipMortonBelle Plaine TownshipBelle PlaineKingmanAugustaDouglass TownshipDouglassOhio TownshipGore TownshipAugusta TownshipAugustaSpring TownshipSpgLittle Walnut TownshipLittle WalnutWaco Township13.543307%13.543307%13.5%34416.662040%6.662040%6.7%9626.035015%6.035015%6.0%29335.138340%5.138340%5.1%7843.350431%3.350431%3.4%30753.336158%3.336158%3.3%7,127,6737.13M3.099017%3.099017%3.1%4163.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.960103%2.960103%3.0%2372.893416%2.893416%2.9%1,311,0191.31M2.836041%2.836041%2.8%9682.519246%2.519246%2.5%6,26092.507625%2.507625%2.5%74102.227815%2.227815%2.2%9,1972.212307%2.212307%2.2%119112.150899%2.150899%2.2%128122.129817%2.129817%2.1%21131.865672%1.865672%1.9%20141.711146%1.711146%1.7%218151.694915%1.694915%1.7%11161.689520%1.689520%1.7%69171.612592%1.612592%1.6%251181.595968%1.595968%1.6%76191.578947%1.578947%1.6%31.558442%1.558442%1.6%30201.535322%1.535322%1.5%6621.509872%1.509872%1.5%13211.497696%1.497696%1.5%13221.423786%1.423786%1.4%17231.369863%1.369863%1.4%10241.231061%1.231061%1.2%39251.123091%1.123091%1.1%25260.970224%0.970224%1.0%87270.898802%0.898802%0.9%27280.851789%0.851789%0.9%25290.796008%0.796008%0.8%67300.785634%0.785634%0.8%7310.758534%0.758534%0.8%6320.733138%0.733138%0.7%5330.718954%0.718954%0.7%11340.695501%0.695501%0.7%320.625000%0.625000%0.6%5350.550964%0.550964%0.6%6360.449102%0.449102%0.4%9370.405680%0.405680%0.4%6380.378191%0.378191%0.4%24390.336700%0.336700%0.3%6400.281426%0.281426%0.3%6410.272480%0.272480%0.3%6420.261506%0.261506%0.3%15430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Chelsea Township, selected other county subdivisions in the Wichita Area, and entities that contain the Chelsea Township
Female
Male
10x5x0x5xFM#ProspectMiltonAugustaTowandaAftonTract 020100RichlandUnionEagleKechiChelseaMinnehaPark TownshipWaco TownshipSalemPleasantIllinoisEmma TownshipButlerNinnescahPayneEl DoradoCaldwellVly CtrNewtonWest North CentralKansasAtticaMidwestUnited StatesBurrtonWichita AreaWichitaGypsumBrunoSedgwickDouglassNewtonRiversideBentonOxfordGrantOhio TownshipRockfordWellingtonAugustaMortonConwayBelle PlaineGdn PlainLittle WalnutHalsteadShermanSpgGreeleyBel AireKingmanGore Township-1.000000x-1.000000x7.542485x7.542485x7.54x3.590%3.59%27.076%27.1%1-1.000000x-1.000000x4.523715x4.523715x4.52x3.364%3.36%15.217%15.2%2-1.000000x-1.000000x3.312374x3.312374x3.31x1.595%1.59%5.282%5.28%3-1.000000x-1.000000x2.767380x2.767380x2.77x2.174%2.17%6.016%6.02%4-1.000000x-1.000000x2.556404x2.556404x2.56x1.642%1.64%4.198%4.20%5-1.000000x-1.000000x2.442714x2.442714x2.44x7.834%7.83%19.136%19.1%-1.000000x-1.000000x2.281426x2.281426x2.28x4.316%4.32%9.846%9.85%6-1.000000x-1.000000x2.079940x2.079940x2.08x1.226%1.23%2.550%2.55%7-1.000000x-1.000000x1.869642x1.869642x1.87x6.533%6.53%12.214%12.2%8-1.000000x-1.000000x1.701345x1.701345x1.70x6.355%6.36%10.813%10.8%9-1.000000x-1.000000x1.696970x1.696970x1.70x3.750%3.75%6.364%6.36%-1.000000x-1.000000x1.635802x1.635802x1.64x1.811%1.81%2.963%2.96%10-1.000000x-1.000000x1.618563x1.618563x1.62x5.837%5.84%9.448%9.45%11-1.000000x-1.000000x1.592730x1.592730x1.59x5.215%5.21%8.306%8.31%12-1.000000x-1.000000x1.576560x1.576560x1.58x6.708%6.71%10.575%10.6%13-1.000000x-1.000000x1.545708x1.545708x1.55x3.270%3.27%5.055%5.05%14-1.000000x-1.000000x1.489652x1.489652x1.49x6.780%6.78%10.099%10.1%15-1.000000x-1.000000x1.475905x1.475905x1.48x4.632%4.63%6.836%6.84%16-1.000000x-1.000000x1.456106x1.456106x1.46x5.906%5.91%8.599%8.60%-1.000000x-1.000000x1.443711x1.443711x1.44x4.663%4.66%6.732%6.73%17-1.000000x-1.000000x1.418269x1.418269x1.42x2.906%2.91%4.121%4.12%18-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%6.93%9.775%9.78%19-1.000000x-1.000000x1.330337x1.330337x1.33x6.757%6.76%8.989%8.99%20-1.000000x-1.000000x1.313077x1.313077x1.31x6.629%6.63%8.705%8.71%21-1.000000x-1.000000x1.212719x1.212719x1.21x9.765%9.76%11.842%11.8%22-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.134831x1.134831x1.13x9.014%9.01%10.229%10.2%23-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.095238x1.095238x1.10x5.753%5.75%6.301%6.30%24-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%25-1.000000x-1.000000x1.018263x1.018263x1.02x5.370%5.37%5.468%5.47%26-1.021682x-1.021682x1.02x1.000000x1.000000x3.880%3.88%3.798%3.80%27-1.025729x-1.025729x1.03x1.000000x1.000000x6.690%6.69%6.522%6.52%28-1.071161x-1.071161x1.07x1.000000x1.000000x8.115%8.11%7.576%7.58%29-1.072678x-1.072678x1.07x1.000000x1.000000x6.021%6.02%5.613%5.61%30-1.114198x-1.114198x1.11x1.000000x1.000000x11.058%11.1%9.925%9.92%31-1.118362x-1.118362x1.12x1.000000x1.000000x1.733%1.73%1.549%1.55%32-1.174168x-1.174168x1.17x1.000000x1.000000x4.697%4.70%4.000%4.00%33-1.188013x-1.188013x1.19x1.000000x1.000000x2.978%2.98%2.506%2.51%34-1.311928x-1.311928x1.31x1.000000x1.000000x10.278%10.3%7.834%7.83%35-1.345784x-1.345784x1.35x1.000000x1.000000x3.874%3.87%2.879%2.88%36-1.374204x-1.374204x1.37x1.000000x1.000000x10.926%10.9%7.951%7.95%37-1.534357x-1.534357x1.53x1.000000x1.000000x12.019%12.0%7.833%7.83%38-1.765784x-1.765784x1.77x1.000000x1.000000x7.103%7.10%4.022%4.02%39-1.773913x-1.773913x1.77x1.000000x1.000000x13.913%13.9%7.843%7.84%40-2.036969x-2.036969x2.04x1.000000x1.000000x9.613%9.61%4.720%4.72%41-2.125323x-2.125323x2.13x1.000000x1.000000x5.426%5.43%2.553%2.55%42-2.301373x-2.301373x2.30x1.000000x1.000000x16.714%16.7%7.263%7.26%43-2.343750x-2.343750x2.34x1.000000x1.000000x13.228%13.2%5.644%5.64%44-2.619718x-2.619718x2.62x1.000000x1.000000x2.817%2.82%1.075%1.08%45-2.665040x-2.665040x2.67x1.000000x1.000000x5.817%5.82%2.183%2.18%46-3.382912x-3.382912x3.38x1.000000x1.000000x11.175%11.2%3.303%3.30%47-4.217091x-4.217091x4.22x1.000000x1.000000x2.447%2.45%0.580%0.58%48-5.524018x-5.524018x5.52x1.000000x1.000000x18.838%18.8%3.410%3.41%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x14.012%14.0%0.821%0.82%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

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 Chelsea Township, selected other county subdivisions in the Wichita Area, and entities that contain the Chelsea Township
Female
Male
10x5x0x5x10xFM#ChelseaAugustaPark TownshipTowandaConwayEagleGreeleyPayneNewtonRockfordGypsumEmma TownshipBentonMinnehaKechiEl DoradoShermanPleasantCaldwellWichitaWichita AreaAtticaRiversideBel AireMidwestWest North CentralKansasUnited StatesGdn PlainIllinoisButlerWellingtonOxfordBrunoSedgwickNewtonMortonUnionBelle PlaineHalsteadAftonTract 020100GrantBurrtonMiltonProspectSalemVly CtrNinnescahKingmanRichland-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.727%2.73%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.585%0.58%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.817%1.82%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.471%1.47%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.186%3.19%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.527%1.53%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.502%1.50%6-1.000000x-1.000000x7.564103x7.564103x7.56x0.726%0.73%5.495%5.49%7-1.000000x-1.000000x5.244244x5.244244x5.24x2.225%2.23%11.669%11.7%8-1.000000x-1.000000x4.747377x4.747377x4.75x0.578%0.58%2.744%2.74%9-1.000000x-1.000000x4.205639x4.205639x4.21x0.620%0.62%2.606%2.61%10-1.000000x-1.000000x3.317895x3.317895x3.32x1.206%1.21%4.000%4.00%11-1.000000x-1.000000x3.300282x3.300282x3.30x2.475%2.48%8.169%8.17%12-1.000000x-1.000000x3.221465x3.221465x3.22x6.566%6.57%21.152%21.2%13-1.000000x-1.000000x2.366516x2.366516x2.37x1.297%1.30%3.069%3.07%14-1.000000x-1.000000x2.295552x2.295552x2.30x0.501%0.50%1.150%1.15%15-1.000000x-1.000000x2.290323x2.290323x2.29x0.469%0.47%1.075%1.08%16-1.000000x-1.000000x2.026520x2.026520x2.03x1.893%1.89%3.837%3.84%17-1.000000x-1.000000x1.870787x1.870787x1.87x0.450%0.45%0.843%0.84%18-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%19-1.000000x-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-1.000000x-1.000000x1.677467x1.677467x1.68x1.274%1.27%2.137%2.14%20-1.000000x-1.000000x1.637602x1.637602x1.64x0.740%0.74%1.212%1.21%21-1.000000x-1.000000x1.613494x1.613494x1.61x4.704%4.70%7.589%7.59%22-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.463830x1.463830x1.46x1.744%1.74%2.553%2.55%23-1.000000x-1.000000x1.395459x1.395459x1.40x1.186%1.19%1.656%1.66%24-1.000000x-1.000000x1.306889x1.306889x1.31x1.333%1.33%1.742%1.74%-1.000000x-1.000000x1.255044x1.255044x1.26x1.963%1.96%2.464%2.46%25-1.000000x-1.000000x1.251429x1.251429x1.25x1.370%1.37%1.714%1.71%26-1.000000x-1.000000x1.187864x1.187864x1.19x3.079%3.08%3.658%3.66%27-1.000000x-1.000000x1.152174x1.152174x1.15x0.515%0.51%0.593%0.59%28-1.000000x-1.000000x1.083742x1.083742x1.08x1.645%1.65%1.783%1.78%29-1.009019x-1.009019x1.01x1.000000x1.000000x0.338%0.34%0.335%0.34%30-1.014986x-1.014986x1.01x1.000000x1.000000x0.409%0.41%0.403%0.40%31-1.112983x-1.112983x1.11x1.000000x1.000000x0.297%0.30%0.267%0.27%32-1.171875x-1.171875x1.17x1.000000x1.000000x3.307%3.31%2.822%2.82%33-1.775808x-1.775808x1.78x1.000000x1.000000x2.372%2.37%1.336%1.34%34-2.225011x-2.225011x2.23x1.000000x1.000000x1.068%1.07%0.480%0.48%-2.457027x-2.457027x2.46x1.000000x1.000000x1.737%1.74%0.707%0.71%35-4.000000x-4.000000x4.00x1.000000x1.000000x2.192%2.19%0.548%0.55%36-4.431193x-4.431193x4.43x1.000000x1.000000x2.752%2.75%0.621%0.62%37-5.173077x-5.173077x5.17x1.000000x1.000000x1.282%1.28%0.248%0.25%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.742%0.74%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.673%1.67%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.082%2.08%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.498%0.50%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.158%3.16%0.000%0%43
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 43 by male-to-female sex ratio

Educational Attainment by County Subdivision in Kansas

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

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 Chelsea Township, selected other county subdivisions in Kansas, and entities that contain the Chelsea Township
0%10%20%30%Count#LiberalDodge CityGarden CityKansas CityGreat BendCoffeyville020100Tract 020100Arkansas CityParsonsHutchinsonEmporiaUnited States of AmericaUnited StatesWichitaChanutePittsburgSalinaTopekaNewtonFort ScottLansingRiverside TownshipRiversideIndependenceWichita Metro AreaWichita AreaMidwestJunction CityAugustaOttawaWinfieldKansasWellingtonWest North CentralLeavenworthSalem TownshipSalemKechi TownshipKechiEl DoradoAtchisonButler CountyButlerOlatheMerriamHaysChelsea TownshipChelseaShawneeGardnerFairmount TownshipFairmountMcPhersonLawrenceTecumseh TownshipTecumsehLenexaManhattanBruno TownshipBrunoMissionRockford TownshipRockfordOverland ParkMission TownshipMissionMadison TownshipMadisonSoldier TownshipSoldierPrairie VillagePrairie VlgLeawood34.641303%34.641303%34.6%4,061132.097762%32.097762%32.1%5,135228.082803%28.082803%28.1%4,409322.659362%22.659362%22.7%21,21821.2k415.641026%15.641026%15.6%1,586515.171442%15.171442%15.2%969614.996740%14.996740%15.0%69014.949801%14.949801%14.9%1,087714.551455%14.551455%14.6%970813.823602%13.823602%13.8%3,923913.704420%13.704420%13.7%1,9131013.020590%13.020590%13.0%27,818,38027.8M12.568464%12.568464%12.6%31,23131.2k1111.381977%11.381977%11.4%6771211.295872%11.295872%11.3%1,1821311.048593%11.048593%11.0%3,4561411.032803%11.032803%11.0%9,3771510.761381%10.761381%10.8%1,3711610.586383%10.586383%10.6%5381710.514597%10.514597%10.5%8501810.505186%10.505186%10.5%9421910.428082%10.428082%10.4%6092010.404141%10.404141%10.4%42,95143.0k10.244520%10.244520%10.2%4,641,8354.64M10.182349%10.182349%10.2%1,3962110.146444%10.146444%10.1%5822210.071134%10.071134%10.1%807239.929435%9.929435%9.9%788249.691216%9.691216%9.7%182,049182k9.444135%9.444135%9.4%508259.174633%9.174633%9.2%1,278,0511.28M8.617355%8.617355%8.6%2,005268.603845%8.603845%8.6%546278.502773%8.502773%8.5%506288.221457%8.221457%8.2%692297.664294%7.664294%7.7%463307.235957%7.235957%7.2%3,1206.424130%6.424130%6.4%5,331316.386839%6.386839%6.4%528326.015657%6.015657%6.0%730335.263158%5.263158%5.3%105.113489%5.113489%5.1%2,174345.078221%5.078221%5.1%620354.979317%4.979317%5.0%325364.929499%4.929499%4.9%444374.814682%4.814682%4.8%2,411384.468530%4.468530%4.5%235394.370740%4.370740%4.4%1,526404.012073%4.012073%4.0%1,090413.841537%3.841537%3.8%352423.518712%3.518712%3.5%236433.398651%3.398651%3.4%529443.377424%3.377424%3.4%4,282452.942916%2.942916%2.9%199462.354874%2.354874%2.4%86472.351807%2.351807%2.4%244481.096310%1.096310%1.1%172490.675882%0.675882%0.7%15550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Chelsea Township, selected other county subdivisions in Kansas, and entities that contain the Chelsea Township
0%20%40%60%Count#LeawoodPrairie VillagePrairie VlgOverland ParkLenexaLawrenceMissionManhattanMission TownshipMissionOlatheShawneeBruno TownshipBrunoRockford TownshipRockfordFairmount TownshipFairmountHaysMerriamGardnerPittsburgSoldier TownshipSoldierKansasLeavenworthUnited States of AmericaUnited StatesWest North CentralTecumseh TownshipTecumsehWichita Metro AreaWichita AreaMcPhersonMidwestWichitaLansingButler CountyButlerEmporiaKechi TownshipKechiTopekaNewtonAtchisonSalinaAugustaEl DoradoWinfieldFort ScottJunction CityIndependenceOttawaRiverside TownshipRiversideParsonsGarden CityWellingtonHutchinsonChelsea TownshipChelseaGreat BendMadison TownshipMadisonDodge CityArkansas CityKansas CityChanute020100Tract 020100CoffeyvilleSalem TownshipSalemLiberal74.085379%74.085379%74.1%16,99017.0k170.080948%70.080948%70.1%10,99511.0k258.823344%58.823344%58.8%74,57874.6k355.353153%55.353153%55.4%19,32619.3k453.552600%53.552600%53.6%26,81726.8k552.273744%52.273744%52.3%3,506652.149588%52.149588%52.1%14,16814.2k749.556344%49.556344%49.6%3,351846.512581%46.512581%46.5%38,59838.6k946.174291%46.174291%46.2%19,63119.6k1043.599258%43.599258%43.6%3,9951141.336332%41.336332%41.3%6,4341237.521066%37.521066%37.5%2,4491337.354759%37.354759%37.4%4,5331434.135720%34.135720%34.1%2,8221533.729216%33.729216%33.7%4,1181633.581804%33.581804%33.6%3,5141732.771084%32.771084%32.8%3,4001831.610465%31.610465%31.6%593,801594k31.370611%31.370611%31.4%7,2991930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.549344%29.549344%29.5%1,5542029.268021%29.268021%29.3%120,826121k29.121794%29.121794%29.1%2,6232128.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k2228.871846%28.871846%28.9%2,3342328.605223%28.605223%28.6%12,33412.3k27.380185%27.380185%27.4%3,8222427.188708%27.188708%27.2%1,6182527.007248%27.007248%27.0%22,95423.0k2624.513344%24.513344%24.5%3,1232723.671578%23.671578%23.7%1,4302823.516624%23.516624%23.5%7,3562922.960251%22.960251%23.0%1,3173021.527860%21.527860%21.5%1,8123121.509577%21.509577%21.5%1,7073221.507281%21.507281%21.5%1,0933321.356674%21.356674%21.4%2,9283420.856164%20.856164%20.9%1,2183520.566579%20.566579%20.6%1,6483619.348723%19.348723%19.3%1,7353718.871887%18.871887%18.9%1,2583818.611465%18.611465%18.6%2,9223918.293363%18.293363%18.3%9844018.171888%18.171888%18.2%5,1574117.894737%17.894737%17.9%3416.982249%16.982249%17.0%1,7224216.730559%16.730559%16.7%6114316.327041%16.327041%16.3%2,6124416.187595%16.187595%16.2%1,1774516.167409%16.167409%16.2%15,13915.1k4616.055817%16.055817%16.1%9554715.148881%15.148881%15.1%69714.044152%14.044152%14.0%8974813.063347%13.063347%13.1%8294911.362279%11.362279%11.4%1,33250
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Chelsea Township, selected other county subdivisions in Kansas, and entities that contain the Chelsea Township
0%5%10%Count#LeawoodManhattanPrairie VillagePrairie VlgLawrenceMission TownshipMissionOverland ParkLenexaShawneeHaysMissionPittsburgBruno TownshipBrunoUnited States of AmericaUnited StatesTopekaParsonsKansasAtchisonWest North CentralMidwestFairmount TownshipFairmountOlatheSalinaFort ScottWichitaEmporiaMerriamWichita Metro AreaWichita AreaWellingtonKechi TownshipKechiSoldier TownshipSoldierMcPhersonLansingWinfieldTecumseh TownshipTecumsehGreat BendNewtonRockford TownshipRockfordJunction CityOttawaChelsea TownshipChelseaIndependenceButler CountyButlerLeavenworthChanuteKansas CityGarden CityDodge CityHutchinsonMadison TownshipMadisonRiverside TownshipRiversideGardnerEl Dorado020100Tract 020100LiberalArkansas CitySalem TownshipSalemCoffeyvilleAugusta14.267649%14.267649%14.3%3,272110.228946%10.228946%10.2%2,779210.198228%10.198228%10.2%1,60039.509545%9.509545%9.5%4,76247.068915%7.068915%7.1%47855.940071%5.940071%5.9%7,53165.358882%5.358882%5.4%1,87173.958603%3.958603%4.0%1,68383.765966%3.765966%3.8%45793.503802%3.503802%3.5%235103.373471%3.373471%3.4%353113.350431%3.350431%3.4%307123.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748133.090309%3.090309%3.1%206143.019438%3.019438%3.0%56,72056.7k3.012746%3.012746%3.0%182152.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.849701%2.849701%2.8%186162.830666%2.830666%2.8%2,349172.608696%2.608696%2.6%816182.597403%2.597403%2.6%132192.519246%2.519246%2.5%6,260202.399885%2.399885%2.4%335212.237813%2.237813%2.2%185222.227815%2.227815%2.2%9,1972.212307%2.212307%2.2%119232.150899%2.150899%2.2%128242.053012%2.053012%2.1%213251.942933%1.942933%1.9%175261.830777%1.830777%1.8%148271.814516%1.814516%1.8%144281.768397%1.768397%1.8%93291.715976%1.715976%1.7%174301.711146%1.711146%1.7%218311.612592%1.612592%1.6%251321.611962%1.611962%1.6%221331.584924%1.584924%1.6%127341.578947%1.578947%1.6%31.575342%1.575342%1.6%92351.535322%1.535322%1.5%6621.439807%1.439807%1.4%335361.429052%1.429052%1.4%85371.388310%1.388310%1.4%1,300381.375796%1.375796%1.4%216391.343918%1.343918%1.3%215401.018359%1.018359%1.0%289410.985761%0.985761%1.0%36420.970224%0.970224%1.0%87430.933737%0.933737%0.9%114440.796008%0.796008%0.8%67450.695501%0.695501%0.7%320.639768%0.639768%0.6%75460.577637%0.577637%0.6%42470.378191%0.378191%0.4%24480.266166%0.266166%0.3%17490.261506%0.261506%0.3%1550
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 Chelsea Township, selected other county subdivisions in Kansas, and entities that contain the Chelsea Township
Female
Male
2x0x2x4x6xFM#SoldierPrairie VlgTract 020100LansingKechiChelseaSalemButlerEl DoradoWinfieldCoffeyvillePittsburgHutchinsonGreat BendLawrenceGardnerIndependenceNewtonKansas CityChanuteFairmountWest North CentralKansasMidwestMissionTopekaDodge CityArkansas CityUnited StatesOlatheFort ScottOverland ParkOttawaLiberalWichita AreaEmporiaWichitaHaysLeavenworthParsonsBrunoGarden CityLenexaSalinaRiversideShawneeMerriamTecumsehRockfordWellingtonAugustaManhattanJunction CityMadisonMcPhersonMissionAtchisonLeawood-1.000000x-1.000000x6.409381x6.409381x6.41x0.652%0.65%4.177%4.18%1-1.000000x-1.000000x2.955512x2.955512x2.96x0.582%0.58%1.720%1.72%2-1.000000x-1.000000x2.442714x2.442714x2.44x7.834%7.83%19.136%19.1%-1.000000x-1.000000x2.364703x2.364703x2.36x5.753%5.75%13.604%13.6%3-1.000000x-1.000000x1.701345x1.701345x1.70x6.355%6.36%10.813%10.8%4-1.000000x-1.000000x1.696970x1.696970x1.70x3.750%3.75%6.364%6.36%-1.000000x-1.000000x1.576560x1.576560x1.58x6.708%6.71%10.575%10.6%5-1.000000x-1.000000x1.456106x1.456106x1.46x5.906%5.91%8.599%8.60%-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%6.93%9.775%9.78%6-1.000000x-1.000000x1.312419x1.312419x1.31x8.574%8.57%11.252%11.3%7-1.000000x-1.000000x1.305222x1.305222x1.31x13.337%13.3%17.408%17.4%8-1.000000x-1.000000x1.290383x1.290383x1.29x9.952%9.95%12.842%12.8%9-1.000000x-1.000000x1.285110x1.285110x1.29x12.110%12.1%15.563%15.6%10-1.000000x-1.000000x1.276094x1.276094x1.28x13.844%13.8%17.667%17.7%11-1.000000x-1.000000x1.232644x1.232644x1.23x4.323%4.32%5.329%5.33%12-1.000000x-1.000000x1.223779x1.223779x1.22x4.572%4.57%5.595%5.60%13-1.000000x-1.000000x1.221651x1.221651x1.22x9.421%9.42%11.510%11.5%14-1.000000x-1.000000x1.212719x1.212719x1.21x9.765%9.76%11.842%11.8%15-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%16-1.000000x-1.000000x1.181812x1.181812x1.18x10.500%10.5%12.409%12.4%17-1.000000x-1.000000x1.141862x1.141862x1.14x4.642%4.64%5.301%5.30%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127040x1.127040x1.13x2.776%2.78%3.129%3.13%19-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%20-1.000000x-1.000000x1.117097x1.117097x1.12x30.255%30.3%33.798%33.8%21-1.000000x-1.000000x1.113954x1.113954x1.11x14.168%14.2%15.782%15.8%22-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%23-1.000000x-1.000000x1.106385x1.106385x1.11x10.110%10.1%11.185%11.2%24-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%25-1.000000x-1.000000x1.080037x1.080037x1.08x9.713%9.71%10.491%10.5%26-1.000000x-1.000000x1.076705x1.076705x1.08x33.351%33.4%35.909%35.9%27-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.064594x1.064594x1.06x13.284%13.3%14.142%14.1%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.056897x1.056897x1.06x5.851%5.85%6.184%6.18%30-1.000000x-1.000000x1.023913x1.023913x1.02x8.507%8.51%8.710%8.71%31-1.000000x-1.000000x1.002176x1.002176x1.00x14.537%14.5%14.568%14.6%32-1.021682x-1.021682x1.02x1.000000x1.000000x3.880%3.88%3.798%3.80%33-1.028302x-1.028302x1.03x1.000000x1.000000x28.471%28.5%27.687%27.7%34-1.036696x-1.036696x1.04x1.000000x1.000000x4.445%4.45%4.288%4.29%35-1.067382x-1.067382x1.07x1.000000x1.000000x11.394%11.4%10.675%10.7%36-1.114198x-1.114198x1.11x1.000000x1.000000x11.058%11.1%9.925%9.92%37-1.120654x-1.120654x1.12x1.000000x1.000000x5.393%5.39%4.812%4.81%38-1.159410x-1.159410x1.16x1.000000x1.000000x6.844%6.84%5.903%5.90%39-1.248115x-1.248115x1.25x1.000000x1.000000x4.950%4.95%3.966%3.97%40-1.345784x-1.345784x1.35x1.000000x1.000000x3.874%3.87%2.879%2.88%41-1.374204x-1.374204x1.37x1.000000x1.000000x10.926%10.9%7.951%7.95%42-1.534357x-1.534357x1.53x1.000000x1.000000x12.019%12.0%7.833%7.83%43-1.571770x-1.571770x1.57x1.000000x1.000000x4.938%4.94%3.142%3.14%44-1.599843x-1.599843x1.60x1.000000x1.000000x12.475%12.5%7.798%7.80%45-1.716758x-1.716758x1.72x1.000000x1.000000x3.140%3.14%1.829%1.83%46-1.760420x-1.760420x1.76x1.000000x1.000000x6.213%6.21%3.529%3.53%47-1.814184x-1.814184x1.81x1.000000x1.000000x4.429%4.43%2.441%2.44%48-2.476800x-2.476800x2.48x1.000000x1.000000x10.476%10.5%4.229%4.23%49-2.686567x-2.686567x2.69x1.000000x1.000000x0.970%0.97%0.361%0.36%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

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 Chelsea Township, selected other county subdivisions in Kansas, and entities that contain the Chelsea Township
Female
Male
10x5x0x5x10xFM#ChelseaAugustaChanuteWinfieldRockfordSoldierEmporiaArkansas CityHutchinsonMerriamMissionKechiGardnerEl DoradoFort ScottLeawoodGarden CityMadisonParsonsPittsburgWichitaSalinaJunction CityWichita AreaOverland ParkOlatheRiversideMcPhersonPrairie VlgMidwestOttawaWest North CentralKansasKansas CityLenexaUnited StatesTopekaLeavenworthIndependenceManhattanButlerDodge CityShawneeWellingtonLawrenceAtchisonBrunoHaysCoffeyvilleNewtonLiberalGreat BendMissionTecumsehLansingTract 020100FairmountSalem-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.727%2.73%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.585%0.58%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.063%0.06%3.020%3.02%2-1.000000x-1.000000x7.288333x7.288333x7.29x0.434%0.43%3.162%3.16%3-1.000000x-1.000000x4.747377x4.747377x4.75x0.578%0.58%2.744%2.74%4-1.000000x-1.000000x4.007141x4.007141x4.01x0.838%0.84%3.357%3.36%5-1.000000x-1.000000x3.312765x3.312765x3.31x1.125%1.12%3.725%3.73%6-1.000000x-1.000000x2.998168x2.998168x3.00x0.293%0.29%0.880%0.88%7-1.000000x-1.000000x2.794101x2.794101x2.79x0.539%0.54%1.505%1.51%8-1.000000x-1.000000x2.782546x2.782546x2.78x1.199%1.20%3.337%3.34%9-1.000000x-1.000000x2.537230x2.537230x2.54x4.094%4.09%10.388%10.4%10-1.000000x-1.000000x2.366516x2.366516x2.37x1.297%1.30%3.069%3.07%11-1.000000x-1.000000x2.304595x2.304595x2.30x0.567%0.57%1.308%1.31%12-1.000000x-1.000000x2.295552x2.295552x2.30x0.501%0.50%1.150%1.15%13-1.000000x-1.000000x2.270873x2.270873x2.27x1.661%1.66%3.773%3.77%14-1.000000x-1.000000x2.087205x2.087205x2.09x9.355%9.35%19.525%19.5%15-1.000000x-1.000000x2.084839x2.084839x2.08x0.895%0.90%1.866%1.87%16-1.000000x-1.000000x2.009602x2.009602x2.01x0.614%0.61%1.235%1.23%17-1.000000x-1.000000x1.908318x1.908318x1.91x2.176%2.18%4.153%4.15%18-1.000000x-1.000000x1.879461x1.879461x1.88x2.394%2.39%4.500%4.50%19-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%20-1.000000x-1.000000x1.784144x1.784144x1.78x1.895%1.89%3.381%3.38%21-1.000000x-1.000000x1.763230x1.763230x1.76x1.173%1.17%2.068%2.07%22-1.000000x-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%23-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%24-1.000000x-1.000000x1.637602x1.637602x1.64x0.740%0.74%1.212%1.21%25-1.000000x-1.000000x1.636870x1.636870x1.64x1.489%1.49%2.438%2.44%26-1.000000x-1.000000x1.609745x1.609745x1.61x7.994%7.99%12.868%12.9%27-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.584551x1.584551x1.58x1.249%1.25%1.979%1.98%28-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%29-1.000000x-1.000000x1.562944x1.562944x1.56x4.233%4.23%6.617%6.62%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%31-1.000000x-1.000000x1.473714x1.473714x1.47x1.146%1.15%1.688%1.69%32-1.000000x-1.000000x1.336698x1.336698x1.34x1.355%1.36%1.812%1.81%33-1.000000x-1.000000x1.323486x1.323486x1.32x8.767%8.77%11.603%11.6%34-1.000000x-1.000000x1.306889x1.306889x1.31x1.333%1.33%1.742%1.74%-1.000000x-1.000000x1.281717x1.281717x1.28x1.172%1.17%1.502%1.50%35-1.000000x-1.000000x1.271087x1.271087x1.27x3.502%3.50%4.451%4.45%36-1.000000x-1.000000x1.255044x1.255044x1.26x1.963%1.96%2.464%2.46%37-1.000000x-1.000000x1.209380x1.209380x1.21x8.627%8.63%10.433%10.4%38-1.000000x-1.000000x1.195212x1.195212x1.20x2.769%2.77%3.310%3.31%39-1.000000x-1.000000x1.187864x1.187864x1.19x3.079%3.08%3.658%3.66%40-1.000000x-1.000000x1.095717x1.095717x1.10x3.595%3.60%3.939%3.94%41-1.000000x-1.000000x1.083777x1.083777x1.08x0.256%0.26%0.278%0.28%42-1.000000x-1.000000x1.083742x1.083742x1.08x1.645%1.65%1.783%1.78%43-1.000000x-1.000000x1.063736x1.063736x1.06x0.620%0.62%0.659%0.66%44-1.000000x-1.000000x1.052399x1.052399x1.05x1.675%1.67%1.762%1.76%45-1.121244x-1.121244x1.12x1.000000x1.000000x3.686%3.69%3.288%3.29%46-1.268292x-1.268292x1.27x1.000000x1.000000x1.972%1.97%1.555%1.56%47-1.421235x-1.421235x1.42x1.000000x1.000000x2.232%2.23%1.570%1.57%48-2.225011x-2.225011x2.23x1.000000x1.000000x1.068%1.07%0.480%0.48%-2.772437x-2.772437x2.77x1.000000x1.000000x4.235%4.23%1.527%1.53%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.742%0.74%0.000%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

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Chelsea Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Chelsea 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 Chelsea Township, selected other county subdivisions in the Midwest, and entities that contain the Chelsea Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarren020100Tract 020100Grand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthWichita Metro AreaWichita AreaMidwestLawrence TownshipLawrenceSioux FallsKansasWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgButler CountyButlerLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonChelsea TownshipChelseaMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.996740%14.996740%15.0%69014.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.404141%10.404141%10.4%42,95143.0k10.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.691216%9.691216%9.7%182,049182k9.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.235957%7.235957%7.2%3,1207.092309%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%4,126455.263158%5.263158%5.3%104.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Chelsea Township, selected other county subdivisions in the Midwest, and entities that contain the Chelsea Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsKansasUnited States of AmericaUnited StatesSioux FallsWest North CentralWichita Metro AreaWichita AreaMidwestWichitaButler CountyButlerSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoChelsea TownshipChelseaDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue Township020100Tract 020100Detroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2831.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M29.268021%29.268021%29.3%120,826121k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.605223%28.605223%28.6%12,33412.3k27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.894737%17.894737%17.9%3417.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4915.148881%15.148881%15.1%69713.833543%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 Chelsea Township, selected other county subdivisions in the Midwest, and entities that contain the Chelsea Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceKansasWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaWichita Metro AreaWichita AreaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoChelsea TownshipChelseaNorth TownshipNButler CountyButlerSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton020100Tract 02010017.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472253.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.227815%2.227815%2.2%9,1972.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.578947%1.578947%1.6%31.575684%1.575684%1.6%1,606411.535322%1.535322%1.5%6621.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.695501%0.695501%0.7%32
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 Chelsea Township, selected other county subdivisions in the Midwest, and entities that contain the Chelsea Township
Female
Male
1x0x1x2xFM#Tract 020100ChelseaButlerCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralKansasWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichita AreaWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.442714x2.442714x2.44x7.834%7.83%19.136%19.1%-1.000000x-1.000000x1.696970x1.696970x1.70x3.750%3.75%6.364%6.36%-1.000000x-1.000000x1.456106x1.456106x1.46x5.906%5.91%8.599%8.60%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
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 Chelsea Township, selected other county subdivisions in the Midwest, and entities that contain the Chelsea Township
Female
Male
0x5x10xFM#ChelseaRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipWichita AreaSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansasKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsButlerClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonTract 020100-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.727%2.73%-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-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%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-1.000000x1.596978x1.596978x1.60x3.524%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-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.306889x1.306889x1.31x1.333%1.33%1.742%1.74%-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%50-2.225011x-2.225011x2.23x1.000000x1.000000x1.068%1.07%0.480%0.48%
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 Chelsea Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Chelsea 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 Chelsea Township, selected other county subdivisions in the United States, and entities that contain the Chelsea 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 Vegas020100Tract 020100PhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityWichita Metro AreaWichita AreaTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonKansasAtlantaWest North CentralSeattleNortheast TarrantNE TarrantButler CountyButlerPlanoChelsea TownshipChelseaSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.996740%14.996740%15.0%69014.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.404141%10.404141%10.4%42,95143.0k10.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.691216%9.691216%9.7%182,049182k9.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.235957%7.235957%7.2%3,1205.714681%5.714681%5.7%20,64420.6k495.263158%5.263158%5.3%104.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Chelsea Township, selected other county subdivisions in the United States, and entities that contain the Chelsea Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonKansasOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreWichita Metro AreaWichita AreaLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixButler CountyButlerOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxChelsea TownshipChelseaSan Bernardino020100Tract 020100San Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.610465%31.610465%31.6%593,801594k31.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.268021%29.268021%29.3%120,826121k29.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.605223%28.605223%28.6%12,33412.3k28.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4717.894737%17.894737%17.9%3416.375473%16.375473%16.4%80,59580.6k4815.148881%15.148881%15.1%69714.929012%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 Chelsea Township, selected other county subdivisions in the United States, and entities that contain the Chelsea Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaKansasPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioWichita Metro AreaWichita AreaFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxChelsea TownshipChelseaButler CountyButlerDetroit020100Tract 02010012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.019438%3.019438%3.0%56,72056.7k3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.227815%2.227815%2.2%9,1972.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.578947%1.578947%1.6%31.535322%1.535322%1.5%6621.318660%1.318660%1.3%5,693500.695501%0.695501%0.7%32
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 Chelsea Township, selected other county subdivisions in the United States, and entities that contain the Chelsea Township
Female
Male
1x0x1x2xFM#Tract 020100ChelseaButler1, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralKansasMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoWichita AreaAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.442714x2.442714x2.44x7.834%7.83%19.136%19.1%-1.000000x-1.000000x1.696970x1.696970x1.70x3.750%3.75%6.364%6.36%-1.000000x-1.000000x1.456106x1.456106x1.46x5.906%5.91%8.599%8.60%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
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 Chelsea Township, selected other county subdivisions in the United States, and entities that contain the Chelsea Township
Female
Male
0x5x10xFM#ChelseaEl PasoSalt Lk CityPlanoWichita AreaTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralKansasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesButlerAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTract 020100-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.727%2.73%-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-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%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-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.306889x1.306889x1.31x1.333%1.33%1.742%1.74%-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%50-2.225011x-2.225011x2.23x1.000000x1.000000x1.068%1.07%0.480%0.48%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Kansas
County:
Butler
Metro Area:
Wichita Area
ZIP Codes:
66842, 67042, 67132
Unified School Districts:
El Dorado 490, Eureka 389, Flinthills 492
Congressional District:
KS-4
State Senate District:
KS-14
State House District:
KS-75
Neighboring Townships:
El Dorado, Lincoln, Prospect, Salem, South Salem, Sycamore
Nearby Townships:
Cedar, Glencoe, Homestead, Little Walnut, Matfield, Milton, Plum Grove, Rosalia, Spring Creek