Educational Attainment in the White Township, Kingman County, Kansas (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Kingman County and the White Township
White Township
Kingman County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.051282%30.712846%32.051282%32.1%10066.666667%61.022540%66.666667%66.7%2081.282051%8.264614%1.282051%1.3%4
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 Kingman County at large.
Scope: population of Kingman County and the White Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma24.357903%4.357903%+4.4%32.051%32.1%30.713%30.7%9.249249%9.249249%+9.2%66.667%66.7%61.023%61.0%-84.487464%-84.487464%-84.5%1.282%1.28%8.265%8.26%
% percentage with given level in the White Township
ref. percentage with given level in Kingman 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 Kingman County and the White Township
White Township
Kingman County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None2.564103%0.458127%2.564103%2.6%80.000000%0.000000%0.0%0.439802%07.051282%5.057724%7.051282%7.1%2216.987179%17.518783%16.987179%17.0%535.448718%7.238409%5.448718%5.4%1725.961538%27.396005%25.961538%26.0%8140.705128%33.626535%40.705128%40.7%1271.282051%4.654572%1.282051%1.3%40.000000%0.000000%0.0%3.481767%00.000000%0.000000%0.0%0.128276%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 Kingman County at large.
Scope: population of Kingman County and the White Township
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None459.692308%459.692308%+459.7%2.564%2.56%0.458%0.46%-100.000000%-100.000000%-100.0%0.000%0%0.440%0.44%39.416109%39.416109%+39.4%7.051%7.05%5.058%5.06%-3.034479%-3.034479%-3.0%16.987%17.0%17.519%17.5%-24.724927%-24.724927%-24.7%5.449%5.45%7.238%7.24%-5.236043%-5.236043%-5.2%25.962%26.0%27.396%27.4%21.050618%21.050618%+21.1%40.705%40.7%33.627%33.6%-72.456087%-72.456087%-72.5%1.282%1.28%4.655%4.65%-100.000000%-100.000000%-100.0%0.000%0%3.482%3.48%-100.000000%-100.000000%-100.0%0.000%0%0.128%0.13%
% percentage with given level in the White Township
ref. percentage with given level in Kingman 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 Kingman County and the White Township
More Females More Males
Kingman County
White Township
0%500%1,000%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-27.865961%-27.865961%28%2.201953%35.802%35.8%28.000%28.0%8.000000%12.097546%8.000000%8%64.198%64.2%69.333%69.3%-174.691819%1,000.000000%1,000.000000%> 1000%0.000%0%2.667%2.67%
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 Kingman County and the White Township
More Females More Males
Kingman County
White Township
0%500%1,000%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.31,000.000000%229.091928%1,000.000000%> 1000%0.000%0%5.333%5.33%-33.744856%-33.744856%34%8.542601%8.025%8.02%6.000%6.00%-65.692008%-65.692008%66%5.236488%20.988%21.0%12.667%12.7%-69.753086%-27.355797%-69.753086%70%6.790%6.79%4.000%4.00%49.294118%13.980906%49.294118%49%20.988%21.0%31.333%31.3%-13.710201%-13.710201%14%10.587045%43.210%43.2%38.000%38.0%-129.655520%1,000.000000%1,000.000000%> 1000%0.000%0%2.667%2.67%
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 Kingman County and the White Township
White Township
Kingman County
0%10%20%30%40%B.X.Total65+45-6435-4425-3424.390244%13.912515%24.390244%24.4%20824.605263%17.578994%4.605263%4.6%715244.444444%14.339152%44.444444%44.4%204518.181818%28.477690%18.181818%18.2%633
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 Kingman County at large.
Scope: population of Kingman County and the White Township
50%0%50%100%150%200%%ref.65+45-6435-4425-3475.311535%75.311535%75.3%24.390%24.4%13.913%13.9%-73.802465%-73.802465%73.8%4.605%4.61%17.579%17.6%209.951691%209.951691%210.0%44.444%44.4%14.339%14.3%-36.154168%-36.154168%36.2%18.182%18.2%28.478%28.5%
% percentage in the White Township with a Bachelor's degree
ref percentage in Kingman 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 Kingman County and the White Township
More Females More Males
Kingman County
White Township
1,000%500%0%500%1,000%FM65+45-6435-4425-34175.757576%90.017204%175.757576%175.8%14.286%14.3%39.394%39.4%-1,000.000000%-15.776130%-1,000.000000%> 1000%9.722%9.72%0.000%0%-1,000.000000%-18.884737%-1,000.000000%> 1000%60.606%60.6%0.000%0%-20.693053%1,000.000000%1,000.000000%> 1000%0.000%0%24.000%24.0%
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 Kingman County and the White Township
White Township
Kingman County
$0k$10k$20k$30k$40kCount%Bachelor's DegreeSome CollegeH.S. Diploma2Total$27,188.000000$37,273.000000$27,188.000000$27.2k5316.987%17.0%$43,056.000000$32,314.000000$43,056.000000$43.1k9831.410%31.4%$35,357.000000$29,301.000000$35,357.000000$35.4k12740.705%40.7%$37,125.000000$32,643.000000$37,125.000000$37.1k312100.000%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 Kingman County and the White Township
Female Male
Kingman County
White Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40k$60kFMSome CollegeH.S. Diploma2Total$-29,444.000000$-26,696.000000$-29,444.000000$29.4k$29,444.000000$39,306.000000$26,696.000000$13,408.000000$68,750.000000$68.8k4553$-19,500.000000$-19,911.000000$-19,500.000000$19.5k$19,500.000000$24,042.000000$19,911.000000$16,652.000000$43,542.000000$43.5k7057$-28,854.000000$-26,000.000000$-28,854.000000$28.9k$28,854.000000$21,979.000000$26,000.000000$15,105.000000$50,833.000000$50.8k162150
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 Kingman County and the White Township
White Township
Kingman County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%83.832976%100.000000%100.0%6187.323944%82.749141%87.323944%87.3%6258.510638%71.037344%58.510638%58.5%55100.000000%38.709677%100.000000%100.0%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 Kingman County and the White Township
Female Male
Kingman County
White Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1Hispanic2-0.000000%-4.174872%-7.295606%0.000000%0.0%0.000000%2.941176%4.174872%2.941176%2.9%40-0.000000%-21.153846%-14.212008%0.000000%0.0%0.000000%0.000000%21.153846%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 Kingman County and the White Township
Female Male
Kingman County
White Township
Shaded bar tips show excess over facing bar.
80%60%40%20%0%20%MFWhite1Hispanic2-23.287671%-22.489658%-23.287671%23.3%23.287671%1.712329%22.489658%1.771863%25.000000%25.0%3434-33.333333%-47.916667%-5.769231%-11.303940%-81.250000%81.3%33.333333%5.769231%33.333333%33.3%213
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the White Township

Coarse: Post-Secondary Degree Educational Attainment by Tract#15

Percentage of the population 25 years and older with given highest level of educational attainment
26.5%28.1%29.7%31.4%33.0%34.7%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
58.7%59.5%60.3%61.1%61.9%62.7%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
5.6%6.7%7.7%8.8%9.8%10.9%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.17%0.35%0.52%0.70%0.88%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.23%0.47%0.70%0.93%1.17%

Detailed: Master's Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
4.39%4.79%5.18%5.57%5.96%6.35%

Detailed: Bachelor's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
13.9%15.8%17.6%19.5%21.3%23.2%

Detailed: Associate's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
5.8%6.6%7.3%8.0%8.7%9.5%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
26.2%27.1%27.9%28.8%29.7%30.6%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
30.6%31.8%32.9%34.1%35.3%36.5%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
2.3%3.0%3.7%4.5%5.2%5.9%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%1.5%2.6%3.7%4.8%6.0%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.08%0.16%0.23%0.31%0.39%
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Educational Attainment by County Subdivision in the Wichita Area

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

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the White Township, selected other county subdivisions in the Wichita Area, and entities that contain the White Township
0%5%10%15%20%Count#Prospect TownshipProspectUnited States of AmericaUnited StatesWichitaLittle Walnut TownshipLittle WalnutKingmanConway TownshipConwayNewtonRiverside TownshipRiversideWichita Metro AreaWichita AreaMidwestAugustaHalsteadKansasAttica TownshipAtticaWellingtonEagle TownshipEagleMilton TownshipMiltonWest North CentralOhio TownshipSalem TownshipSalemKechi TownshipKechiIllinois TownshipIllinoisKingman CountyKingmanEl DoradoDouglass TownshipDouglassCaldwellValley Center TownshipVly CtrPark TownshipGreeley TownshipGreeleyGore TownshipRichland TownshipRichlandBelle Plaine TownshipBelle PlaineWaco TownshipSedgwick TownshipSedgwickBurrton TownshipBurrtonNewton TownshipNewtonEmma TownshipNinnescah TownshipNinnescahMorton TownshipMortonGypsum TownshipGypsumOxford TownshipOxfordPleasant TownshipPleasantGarden Plain TownshipGdn PlainTowanda TownshipTowandaSpring TownshipSpgBruno TownshipBrunoAugusta TownshipAugustaPayne TownshipPayneRockford TownshipRockfordAfton TownshipAftonGrant TownshipGrantMinneha TownshipMinnehaSherman TownshipShermanUnion TownshipUnionBenton TownshipBentonBel AireWhite TownshipWhite22.504990%22.504990%22.5%451113.020590%13.020590%13.0%27,818,38027.8M12.568464%12.568464%12.6%31,23131.2k211.954993%11.954993%12.0%85311.852861%11.852861%11.9%261411.059908%11.059908%11.1%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%101178.264614%8.264614%8.3%4518.221457%8.221457%8.2%692187.858546%7.858546%7.9%120197.750000%7.750000%7.8%62207.589880%7.589880%7.6%228217.529813%7.529813%7.5%221227.331378%7.331378%7.3%50237.168204%7.168204%7.2%101247.116883%7.116883%7.1%137257.035647%7.035647%7.0%150266.698565%6.698565%6.7%42276.611570%6.611570%6.6%72286.027397%6.027397%6.0%44295.829285%5.829285%5.8%84305.659099%5.659099%5.7%167315.615454%5.615454%5.6%125325.555556%5.555556%5.6%99335.417892%5.417892%5.4%258344.413473%4.413473%4.4%38354.135894%4.135894%4.1%140364.056795%4.056795%4.1%40374.052288%4.052288%4.1%62383.890641%3.890641%3.9%37393.841537%3.841537%3.8%352403.674280%3.674280%3.7%37413.474903%3.474903%3.5%27423.398651%3.398651%3.4%529432.891791%2.891791%2.9%31442.746212%2.746212%2.7%87452.362205%2.362205%2.4%60461.907969%1.907969%1.9%17471.893171%1.893171%1.9%28481.646904%1.646904%1.6%25491.585994%1.585994%1.6%77501.282051%1.282051%1.3%4
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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the White Township, selected other county subdivisions in the Wichita Area, and entities that contain the White 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 AreaMidwestWichitaRichland TownshipRichlandKechi TownshipKechiPark TownshipSpring TownshipSpgWhite TownshipWhiteTowanda TownshipTowandaIllinois TownshipIllinoisOxford TownshipOxfordNewtonKingman CountyKingmanAugustaHalsteadWaco TownshipSedgwick TownshipSedgwickEl DoradoGore TownshipDouglass TownshipDouglassBurrton TownshipBurrtonGreeley TownshipGreeleyConway TownshipConwayRiverside TownshipRiversideKingmanWellingtonEagle TownshipEagleCaldwellBelle Plaine TownshipBelle PlaineLittle Walnut TownshipLittle WalnutSalem TownshipSalemProspect TownshipProspect66.574803%66.574803%66.6%1,691155.756952%55.756952%55.8%2,707246.718147%46.718147%46.7%363343.599258%43.599258%43.6%3,995443.276515%43.276515%43.3%1,371542.817164%42.817164%42.8%459642.609299%42.609299%42.6%614742.053541%42.053541%42.1%1,241841.336332%41.336332%41.3%6,434938.828968%38.828968%38.8%2521038.669302%38.669302%38.7%5871136.263467%36.263467%36.3%1,4811235.785619%35.785619%35.8%1,0751334.792368%34.792368%34.8%3101434.792123%34.792123%34.8%4771533.806626%33.806626%33.8%5001633.536329%33.536329%33.5%1,5971733.500739%33.500739%33.5%1,1341832.030548%32.030548%32.0%7131931.610465%31.610465%31.6%593,801594k31.541582%31.541582%31.5%3112030.315023%30.315023%30.3%64,767,78764.8M30.089374%30.089374%30.1%3032130.056536%30.056536%30.1%4,186,9564.19M29.461279%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%71,75771.8k2327.220779%27.220779%27.2%5242427.188708%27.188708%27.2%1,6182527.018739%27.018739%27.0%7932626.813880%26.813880%26.8%2552726.602564%26.602564%26.6%8326.274510%26.274510%26.3%4022825.209380%25.209380%25.2%3012924.854820%24.854820%24.9%2143024.513344%24.513344%24.5%3,1233123.474437%23.474437%23.5%1,28122.960251%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%1424517.125000%17.125000%17.1%1374615.900563%15.900563%15.9%3394713.783404%13.783404%13.8%984813.063347%13.063347%13.1%829496.387226%6.387226%6.4%12850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

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 White Township, selected other county subdivisions in the Wichita Area, and entities that contain the White Township
0%5%10%Count#Minneha TownshipMinnehaNewton TownshipNewtonBel AireBenton TownshipBentonBruno TownshipBrunoUnited States of AmericaUnited StatesHalsteadKansasWest North CentralPayne TownshipPayneMidwestPleasant TownshipPleasantWhite TownshipWhiteWichitaEmma TownshipWichita Metro AreaWichita AreaWellingtonKechi TownshipKechiGarden Plain TownshipGdn PlainAfton TownshipAftonNewtonMilton TownshipMiltonAttica TownshipAtticaRockford TownshipRockfordGypsum TownshipGypsumRichland TownshipRichlandOxford TownshipOxfordConway TownshipConwayIllinois TownshipIllinoisBurrton TownshipBurrtonGrant TownshipGrantNinnescah TownshipNinnescahRiverside TownshipRiversideValley Center TownshipVly CtrKingman CountyKingmanPark TownshipEl DoradoSherman TownshipShermanEagle TownshipEagleGreeley TownshipGreeleyTowanda TownshipTowandaCaldwellSedgwick 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%9682.564103%2.564103%2.6%82.519246%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%76191.558442%1.558442%1.6%30201.509872%1.509872%1.5%13211.497696%1.497696%1.5%13221.423786%1.423786%1.4%17231.369863%1.369863%1.4%10241.231061%1.231061%1.2%39251.123091%1.123091%1.1%25260.970224%0.970224%1.0%87270.898802%0.898802%0.9%27280.897929%0.897929%0.9%490.851789%0.851789%0.9%25290.796008%0.796008%0.8%67300.785634%0.785634%0.8%7310.758534%0.758534%0.8%6320.733138%0.733138%0.7%5330.718954%0.718954%0.7%11340.625000%0.625000%0.6%5350.550964%0.550964%0.6%6360.449102%0.449102%0.4%9370.405680%0.405680%0.4%6380.378191%0.378191%0.4%24390.336700%0.336700%0.3%6400.281426%0.281426%0.3%6410.272480%0.272480%0.3%6420.261506%0.261506%0.3%15430.000000%0.000000%0.0%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#31

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 White Township, selected other county subdivisions in the Wichita Area, and entities that contain the White Township
Female
Male
10x5x0x5x10xFM#WhiteProspectMiltonAugustaTowandaAftonRichlandUnionEagleKechiMinnehaPark TownshipWaco TownshipSalemPleasantIllinoisEmma TownshipNinnescahPayneEl DoradoCaldwellVly CtrNewtonWest North CentralKansasAtticaMidwestUnited StatesBurrtonWichita AreaWichitaGypsumBrunoSedgwickDouglassNewtonRiversideBentonOxfordGrantOhio TownshipRockfordWellingtonAugustaMortonConwayBelle PlaineGdn PlainLittle WalnutHalsteadShermanSpgKingmanGreeleyBel AireKingmanGore Township-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.667%2.67%-1.000000x-1.000000x7.542485x7.542485x7.54x3.590%3.59%27.076%27.1%1-1.000000x-1.000000x4.523715x4.523715x4.52x3.364%3.36%15.217%15.2%2-1.000000x-1.000000x3.312374x3.312374x3.31x1.595%1.59%5.282%5.28%3-1.000000x-1.000000x2.767380x2.767380x2.77x2.174%2.17%6.016%6.02%4-1.000000x-1.000000x2.556404x2.556404x2.56x1.642%1.64%4.198%4.20%5-1.000000x-1.000000x2.281426x2.281426x2.28x4.316%4.32%9.846%9.85%6-1.000000x-1.000000x2.079940x2.079940x2.08x1.226%1.23%2.550%2.55%7-1.000000x-1.000000x1.869642x1.869642x1.87x6.533%6.53%12.214%12.2%8-1.000000x-1.000000x1.701345x1.701345x1.70x6.355%6.36%10.813%10.8%9-1.000000x-1.000000x1.635802x1.635802x1.64x1.811%1.81%2.963%2.96%10-1.000000x-1.000000x1.618563x1.618563x1.62x5.837%5.84%9.448%9.45%11-1.000000x-1.000000x1.592730x1.592730x1.59x5.215%5.21%8.306%8.31%12-1.000000x-1.000000x1.576560x1.576560x1.58x6.708%6.71%10.575%10.6%13-1.000000x-1.000000x1.545708x1.545708x1.55x3.270%3.27%5.055%5.05%14-1.000000x-1.000000x1.489652x1.489652x1.49x6.780%6.78%10.099%10.1%15-1.000000x-1.000000x1.475905x1.475905x1.48x4.632%4.63%6.836%6.84%16-1.000000x-1.000000x1.443711x1.443711x1.44x4.663%4.66%6.732%6.73%17-1.000000x-1.000000x1.418269x1.418269x1.42x2.906%2.91%4.121%4.12%18-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%6.93%9.775%9.78%19-1.000000x-1.000000x1.330337x1.330337x1.33x6.757%6.76%8.989%8.99%20-1.000000x-1.000000x1.313077x1.313077x1.31x6.629%6.63%8.705%8.71%21-1.000000x-1.000000x1.212719x1.212719x1.21x9.765%9.76%11.842%11.8%22-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.134831x1.134831x1.13x9.014%9.01%10.229%10.2%23-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.095238x1.095238x1.10x5.753%5.75%6.301%6.30%24-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%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%46-2.746918x-2.746918x2.75x1.000000x1.000000x12.010%12.0%4.372%4.37%-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#32

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 White Township, selected other county subdivisions in the Wichita Area, and entities that contain the White Township
Female
Male
10x5x0x5x10xFM#WhiteAugustaPark TownshipTowandaConwayEagleGreeleyPayneNewtonRockfordGypsumKingmanEmma TownshipBentonMinnehaKechiEl DoradoShermanPleasantCaldwellWichitaWichita AreaAtticaRiversideBel AireMidwestWest North CentralKansasUnited StatesGdn PlainIllinoisWellingtonOxfordBrunoSedgwickNewtonMortonUnionBelle PlaineHalsteadAftonGrantBurrtonMiltonProspectSalemVly CtrNinnescahKingmanRichland-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.333%5.33%-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-1.000000x4.053027x4.053027x4.05x0.360%0.36%1.457%1.46%-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-1.000000x1.255044x1.255044x1.26x1.963%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%34-2.457027x-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 White Township to the 50 most populous county subdivisions in Kansas and to those entities that contain or substantially overlap with the White Township. The least populous of the compared county subdivisions has a population of 7,732.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the White Township, selected other county subdivisions in Kansas, and entities that contain the White Township
0%10%20%30%Count#LiberalDodge CityGarden CityKansas CityGreat BendCoffeyvilleArkansas CityParsonsHutchinsonEmporiaUnited States of AmericaUnited StatesWichitaChanutePittsburgSalinaTopekaNewtonFort ScottLansingRiverside TownshipRiversideIndependenceWichita Metro AreaWichita AreaMidwestJunction CityAugustaOttawaWinfieldKansasWellingtonWest North CentralLeavenworthSalem TownshipSalemKechi TownshipKechiKingman CountyKingmanEl DoradoAtchisonOlatheMerriamHaysShawneeGardnerFairmount TownshipFairmountMcPhersonLawrenceTecumseh TownshipTecumsehLenexaManhattanBruno TownshipBrunoMissionRockford TownshipRockfordOverland ParkMission TownshipMissionMadison TownshipMadisonSoldier TownshipSoldierWhite TownshipWhitePrairie VillagePrairie VlgLeawood34.641303%34.641303%34.6%4,061132.097762%32.097762%32.1%5,135228.082803%28.082803%28.1%4,409322.659362%22.659362%22.7%21,21821.2k415.641026%15.641026%15.6%1,586515.171442%15.171442%15.2%969614.949801%14.949801%14.9%1,087714.551455%14.551455%14.6%970813.823602%13.823602%13.8%3,923913.704420%13.704420%13.7%1,9131013.020590%13.020590%13.0%27,818,38027.8M12.568464%12.568464%12.6%31,23131.2k1111.381977%11.381977%11.4%6771211.295872%11.295872%11.3%1,1821311.048593%11.048593%11.0%3,4561411.032803%11.032803%11.0%9,3771510.761381%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%506288.264614%8.264614%8.3%4518.221457%8.221457%8.2%692297.664294%7.664294%7.7%463306.424130%6.424130%6.4%5,331316.386839%6.386839%6.4%528326.015657%6.015657%6.0%730335.113489%5.113489%5.1%2,174345.078221%5.078221%5.1%620354.979317%4.979317%5.0%325364.929499%4.929499%4.9%444374.814682%4.814682%4.8%2,411384.468530%4.468530%4.5%235394.370740%4.370740%4.4%1,526404.012073%4.012073%4.0%1,090413.841537%3.841537%3.8%352423.518712%3.518712%3.5%236433.398651%3.398651%3.4%529443.377424%3.377424%3.4%4,282452.942916%2.942916%2.9%199462.354874%2.354874%2.4%86472.351807%2.351807%2.4%244481.282051%1.282051%1.3%41.096310%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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the White Township, selected other county subdivisions in Kansas, and entities that contain the White Township
0%20%40%60%Count#LeawoodPrairie VillagePrairie VlgOverland ParkLenexaLawrenceMissionManhattanMission TownshipMissionOlatheShawneeBruno TownshipBrunoRockford TownshipRockfordFairmount TownshipFairmountHaysMerriamGardnerPittsburgSoldier TownshipSoldierKansasLeavenworthUnited States of AmericaUnited StatesWest North CentralTecumseh TownshipTecumsehWichita Metro AreaWichita AreaMcPhersonMidwestWichitaLansingEmporiaKechi TownshipKechiTopekaWhite TownshipWhiteNewtonAtchisonSalinaKingman CountyKingmanAugustaEl DoradoWinfieldFort ScottJunction CityIndependenceOttawaRiverside TownshipRiversideParsonsGarden CityWellingtonHutchinsonGreat BendMadison TownshipMadisonDodge CityArkansas CityKansas CityChanuteCoffeyvilleSalem TownshipSalemLiberal74.085379%74.085379%74.1%16,99017.0k170.080948%70.080948%70.1%10,99511.0k258.823344%58.823344%58.8%74,57874.6k355.353153%55.353153%55.4%19,32619.3k453.552600%53.552600%53.6%26,81726.8k552.273744%52.273744%52.3%3,506652.149588%52.149588%52.1%14,16814.2k749.556344%49.556344%49.6%3,351846.512581%46.512581%46.5%38,59838.6k946.174291%46.174291%46.2%19,63119.6k1043.599258%43.599258%43.6%3,9951141.336332%41.336332%41.3%6,4341237.521066%37.521066%37.5%2,4491337.354759%37.354759%37.4%4,5331434.135720%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%2,3342327.380185%27.380185%27.4%3,8222427.188708%27.188708%27.2%1,6182527.007248%27.007248%27.0%22,95423.0k2626.602564%26.602564%26.6%8324.513344%24.513344%24.5%3,1232723.671578%23.671578%23.7%1,4302823.516624%23.516624%23.5%7,3562923.474437%23.474437%23.5%1,28122.960251%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%5,1574116.982249%16.982249%17.0%1,7224216.730559%16.730559%16.7%6114316.327041%16.327041%16.3%2,6124416.187595%16.187595%16.2%1,1774516.167409%16.167409%16.2%15,13915.1k4616.055817%16.055817%16.1%9554714.044152%14.044152%14.0%8974813.063347%13.063347%13.1%8294911.362279%11.362279%11.4%1,33250
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

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 White Township, selected other county subdivisions in Kansas, and entities that contain the White Township
0%5%10%Count#LeawoodManhattanPrairie VillagePrairie VlgLawrenceMission TownshipMissionOverland ParkLenexaShawneeHaysMissionPittsburgBruno TownshipBrunoUnited States of AmericaUnited StatesTopekaParsonsKansasAtchisonWest North CentralMidwestFairmount TownshipFairmountOlatheSalinaFort ScottWhite TownshipWhiteWichitaEmporiaMerriamWichita Metro AreaWichita AreaWellingtonKechi TownshipKechiSoldier TownshipSoldierMcPhersonLansingWinfieldTecumseh TownshipTecumsehGreat BendNewtonRockford TownshipRockfordJunction CityOttawaIndependenceLeavenworthChanuteKansas CityGarden CityDodge CityHutchinsonMadison TownshipMadisonRiverside TownshipRiversideGardnerKingman CountyKingmanEl DoradoLiberalArkansas 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%132192.564103%2.564103%2.6%82.519246%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%127341.575342%1.575342%1.6%92351.439807%1.439807%1.4%335361.429052%1.429052%1.4%85371.388310%1.388310%1.4%1,300381.375796%1.375796%1.4%216391.343918%1.343918%1.3%215401.018359%1.018359%1.0%289410.985761%0.985761%1.0%36420.970224%0.970224%1.0%87430.933737%0.933737%0.9%114440.897929%0.897929%0.9%490.796008%0.796008%0.8%67450.639768%0.639768%0.6%75460.577637%0.577637%0.6%42470.378191%0.378191%0.4%24480.266166%0.266166%0.3%17490.261506%0.261506%0.3%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#36

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 White Township, selected other county subdivisions in Kansas, and entities that contain the White Township
Female
Male
0x5x10xFM#WhiteSoldierPrairie VlgLansingKechiSalemEl DoradoWinfieldCoffeyvillePittsburgHutchinsonGreat BendLawrenceGardnerIndependenceNewtonKansas CityChanuteFairmountWest North CentralKansasMidwestMissionTopekaDodge CityArkansas CityUnited StatesOlatheFort ScottOverland ParkOttawaLiberalWichita AreaEmporiaWichitaHaysLeavenworthParsonsBrunoGarden CityLenexaSalinaRiversideShawneeMerriamTecumsehRockfordWellingtonAugustaManhattanJunction CityMadisonMcPhersonMissionAtchisonLeawoodKingman-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.667%2.67%-1.000000x-1.000000x6.409381x6.409381x6.41x0.652%0.65%4.177%4.18%1-1.000000x-1.000000x2.955512x2.955512x2.96x0.582%0.58%1.720%1.72%2-1.000000x-1.000000x2.364703x2.364703x2.36x5.753%5.75%13.604%13.6%3-1.000000x-1.000000x1.701345x1.701345x1.70x6.355%6.36%10.813%10.8%4-1.000000x-1.000000x1.576560x1.576560x1.58x6.708%6.71%10.575%10.6%5-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%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%50-2.746918x-2.746918x2.75x1.000000x1.000000x12.010%12.0%4.372%4.37%
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#37

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 White Township, selected other county subdivisions in Kansas, and entities that contain the White Township
Female
Male
10x5x0x5x10xFM#WhiteAugustaChanuteWinfieldRockfordKingmanSoldierEmporiaArkansas CityHutchinsonMerriamMissionKechiGardnerEl DoradoFort ScottLeawoodGarden CityMadisonParsonsPittsburgWichitaSalinaJunction CityWichita AreaOverland ParkOlatheRiversideMcPhersonPrairie VlgMidwestOttawaWest North CentralKansasKansas CityLenexaUnited StatesTopekaLeavenworthIndependenceManhattanDodge CityShawneeWellingtonLawrenceAtchisonBrunoHaysCoffeyvilleNewtonLiberalGreat BendMissionTecumsehLansingFairmountSalem-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.333%5.33%-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-1.000000x4.053027x4.053027x4.05x0.360%0.36%1.457%1.46%-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-1.000000x1.281717x1.281717x1.28x1.172%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%48-2.772437x-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 White Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the White Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the White Township, selected other county subdivisions in the Midwest, and entities that contain the White Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthWichita Metro AreaWichita AreaMidwestLawrence TownshipLawrenceSioux FallsKansasWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineKingman CountyKingmanSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborWhite TownshipWhite33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%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%6,695378.264614%8.264614%8.3%4517.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,057501.282051%1.282051%1.3%4
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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the White Township, selected other county subdivisions in the Midwest, and entities that contain the White 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 AreaMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldWhite TownshipWhiteProviso TownshipProvisoWorth TownshipWorthMilwaukeeKingman CountyKingmanRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%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%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.602564%26.602564%26.6%8326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3623.474437%23.474437%23.5%1,28121.592552%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#40

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 White Township, selected other county subdivisions in the Midwest, and entities that contain the White 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 TownshipCtrWhite TownshipWhiteSchaumburg TownshipSchaumburgWichitaWichita Metro AreaWichita AreaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraKingman CountyKingmanThornton 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%6,87546.241155%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%2,576302.564103%2.564103%2.6%82.551250%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%3,018401.575684%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%834490.897929%0.897929%0.9%490.876686%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#41

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 White Township, selected other county subdivisions in the Midwest, and entities that contain the White Township
Female
Male
0x5x10xFM#WhiteCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralKansasWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichita AreaWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineKingman-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.667%2.67%-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%50-2.746918x-2.746918x2.75x1.000000x1.000000x12.010%12.0%4.372%4.37%
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#42

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 White Township, selected other county subdivisions in the Midwest, and entities that contain the White Township
Female
Male
0x5x10xFM#WhiteKingmanRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipWichita AreaSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansasKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.333%5.33%-1.000000x-1.000000x4.053027x4.053027x4.05x0.360%0.36%1.457%1.46%-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-1.000000x1.286599x1.286599x1.29x1.699%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 White Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the White Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the White Township, selected other county subdivisions in the United States, and entities that contain the White Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityWichita Metro AreaWichita AreaTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonKansasAtlantaWest North CentralSeattleNortheast TarrantNE TarrantKingman CountyKingmanPlanoSeattle EastWhite TownshipWhite28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%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%31,44331.4k488.264614%8.264614%8.3%4515.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k501.282051%1.282051%1.3%4
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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the White Township, selected other county subdivisions in the United States, and entities that contain the White 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-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioWhite TownshipWhitePhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeKingman CountyKingmanFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%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%593,529594k3328.535877%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%111,532112k3826.602564%26.602564%26.6%8326.349720%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%85,81285.8k4323.474437%23.474437%23.5%1,28122.486319%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#45

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 White Township, selected other county subdivisions in the United States, and entities that contain the White 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 TarrantWhite TownshipWhiteEast San Gabriel ValleyE San Gabriel VlyOntarioWichita Metro AreaWichita AreaFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitKingman CountyKingman12.461852%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%9,827392.564103%2.564103%2.6%82.484535%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%15,06415.1k491.318660%1.318660%1.3%5,693500.897929%0.897929%0.9%49
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#46

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 White Township, selected other county subdivisions in the United States, and entities that contain the White Township
Female
Male
0x5x10xFM#White1, 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 PasoKingman-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.667%2.67%-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%50-2.746918x-2.746918x2.75x1.000000x1.000000x12.010%12.0%4.372%4.37%
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#47

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 White Township, selected other county subdivisions in the United States, and entities that contain the White Township
Female
Male
0x5x10xFM#WhiteKingmanEl 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 AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.333%5.33%-1.000000x-1.000000x4.053027x4.053027x4.05x0.360%0.36%1.457%1.46%-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-1.000000x1.303834x1.303834x1.30x4.384%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.

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State:
Kansas
County:
Kingman
Metro Area:
Wichita Area
ZIP Codes:
67068, 67570
Unified School Districts:
Kingman-Norwich 331, Pretty Prairie 311
Congressional District:
KS-4
State Senate District:
KS-34
State House District:
KS-114
Neighboring Cities:
Kingman
Neighboring Townships:
Albion, Dale, Galesburg, Hoosier, Loda, Ninnescah, Roscoe
Nearby Townships:
Arlington, Bell, Eagle, Eureka, Evan, Ninnescah, Richland, Troy, Union, Vinita