Educational Attainment in the Darlington Township, Harvey County, Kansas (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Harvey County and the Darlington Township
Darlington Township
Harvey County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma241.798942%35.525285%41.798942%41.8%15858.201058%55.152755%58.201058%58.2%2200.000000%0.000000%0.0%9.321960%0
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 Harvey County at large.
Scope: population of Harvey County and the Darlington Township
-100%0%+100%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma217.659694%17.659694%+17.7%41.799%41.8%35.525%35.5%5.527019%5.527019%+5.5%58.201%58.2%55.153%55.2%-100.000000%-100.000000%-100.0%0.000%0%9.322%9.32%
% percentage with given level in the Darlington Township
ref. percentage with given level in Harvey 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 Harvey County and the Darlington Township
Darlington Township
Harvey County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.014013%03.439153%1.227261%3.439153%3.4%134.232804%8.094699%4.232804%4.2%1627.513228%17.342676%27.513228%27.5%1046.613757%7.846636%6.613757%6.6%2524.603175%27.360954%24.603175%24.6%9333.597884%27.791801%33.597884%33.6%1270.000000%0.000000%0.0%5.483506%00.000000%0.000000%0.0%3.346679%00.000000%0.000000%0.0%0.491775%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 Harvey County at large.
Scope: population of Harvey County and the Darlington Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%1.014%1.01%180.230027%180.230027%+180.2%3.439%3.44%1.227%1.23%-47.708938%-47.708938%-47.7%4.233%4.23%8.095%8.09%58.644653%58.644653%+58.6%27.513%27.5%17.343%17.3%-15.712202%-15.712202%-15.7%6.614%6.61%7.847%7.85%-10.079251%-10.079251%-10.1%24.603%24.6%27.361%27.4%20.891351%20.891351%+20.9%33.598%33.6%27.792%27.8%-100.000000%-100.000000%-100.0%0.000%0%5.484%5.48%-100.000000%-100.000000%-100.0%0.000%0%3.347%3.35%-100.000000%-100.000000%-100.0%0.000%0%0.492%0.49%
% percentage with given level in the Darlington Township
ref. percentage with given level in Harvey 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 Harvey County and the Darlington Township
More Females More Males
Harvey County
Darlington Township
10%0%10%FMHigher Degree1H.S. Diploma2-7.635581%19.969029%19.969029%20%37.968%38.0%45.550%45.5%-13.924311%-13.924311%14%2.416549%62.032%62.0%54.450%54.5%
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 Harvey County and the Darlington Township
More Females More Males
Harvey County
Darlington Township
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School21,000.000000%90.097689%1,000.000000%> 1000%0.000%0%6.806%6.81%-1,000.000000%-25.745633%-1,000.000000%> 1000%8.556%8.56%0.000%0%141.500873%4.082591%141.500873%0k%16.043%16.0%38.743%38.7%-1,000.000000%-35.931379%-1,000.000000%> 1000%13.369%13.4%0.000%0%-5.481660%9.031414%9.031414%0k%23.529%23.5%25.654%25.7%-33.709285%-33.709285%0k%10.487598%38.503%38.5%28.796%28.8%
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 Harvey County and the Darlington Township
Darlington Township
Harvey County
0%10%20%30%B.X.Total65+45-6435-4425-3418.000000%12.819698%18.000000%18.0%2715039.896373%17.949603%39.896373%39.9%771930.000000%0.000000%0.0%21.135080%0120.000000%0.000000%0.0%19.399707%023
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 Harvey County at large.
Scope: population of Harvey County and the Darlington Township
100%50%0%50%100%%ref.65+45-6435-4425-3440.408922%40.408922%40.4%18.000%18.0%12.820%12.8%122.268832%122.268832%122.3%39.896%39.9%17.950%17.9%-100.000000%-100.000000%100.0%0.000%0%21.135%21.1%-100.000000%-100.000000%100.0%0.000%0%19.400%19.4%
% percentage in the Darlington Township with a Bachelor's degree
ref percentage in Harvey 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 Harvey County and the Darlington Township
More Females More Males
Harvey County
Darlington Township
0%50%100%150%FM65+45-6449.385749%30.291167%49.385749%49.4%14.474%14.5%21.622%21.6%155.839599%15.668194%155.839599%155.8%21.591%21.6%55.238%55.2%
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 Harvey County and the Darlington Township
Darlington Township
Harvey County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeH.S. Diploma2Total$55,417.000000$51,882.000000$55,417.000000$55.4k297.672%7.67%$84,632.000000$42,417.000000$84,632.000000$84.6k10427.513%27.5%$35,446.000000$25,402.000000$35,446.000000$35.4k12733.598%33.6%$37,070.000000$36,062.000000$37,070.000000$37.1k378100.000%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

Employment by Educational Attainment#11

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Harvey County and the Darlington Township
Darlington Township
Harvey County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma361.904762%86.587367%61.904762%61.9%5252.500000%80.482351%52.500000%52.5%4276.562500%75.769133%76.562500%76.6%490.000000%0.000000%0.0%49.101054%0
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#12

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Harvey County and the Darlington Township
Female Male
Harvey County
Darlington Township
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%6%MFWhite1-0.000000%-6.749894%-0.989104%0.000000%0.0%0.000000%0.000000%6.749894%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#13

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Harvey County and the Darlington Township
Female Male
Harvey County
Darlington Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%40%MFWhite1-24.598930%-29.116085%-24.598930%24.6%24.598930%20.950808%29.116085%0.771769%45.549738%45.5%8746
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Wichita Area

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

No H.S. Diploma by County Subdivision#14

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Darlington Township, selected other county subdivisions in the Wichita Area, and entities that contain the Darlington Township
0%5%10%15%20%Count#Prospect TownshipProspectUnited States of AmericaUnited StatesWichitaLittle Walnut TownshipLittle WalnutKingmanConway TownshipConwayNewtonRiverside TownshipRiversideWichita Metro AreaWichita AreaMidwestAugustaHalsteadKansas030600Tract 030600Attica TownshipAtticaWellingtonEagle TownshipEagleHarvey CountyHarveyMilton TownshipMiltonWest North CentralOhio TownshipSalem TownshipSalemKechi TownshipKechiIllinois TownshipIllinoisEl 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 AireDarlington TownshipDarlington22.504990%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%182,049182k9.620927%9.620927%9.6%4349.598433%9.598433%9.6%392109.444135%9.444135%9.4%508119.355247%9.355247%9.4%74129.321960%9.321960%9.3%2,1429.244992%9.244992%9.2%60139.174633%9.174633%9.2%1,278,0511.28M9.117433%9.117433%9.1%125148.603845%8.603845%8.6%546158.502773%8.502773%8.5%506168.458961%8.458961%8.5%101178.221457%8.221457%8.2%692187.858546%7.858546%7.9%120197.750000%7.750000%7.8%62207.589880%7.589880%7.6%228217.529813%7.529813%7.5%221227.331378%7.331378%7.3%50237.168204%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%77500.000000%0.000000%0.0%0
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#15

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Darlington Township, selected other county subdivisions in the Wichita Area, and entities that contain the Darlington Township
0%20%40%60%Count#Minneha TownshipMinnehaBel AirePayne TownshipPayneBruno TownshipBrunoGrant TownshipGrantAfton TownshipAftonNewton TownshipNewtonEmma TownshipRockford TownshipRockfordMilton TownshipMiltonBenton TownshipBentonAttica TownshipAtticaValley Center TownshipVly CtrDarlington TownshipDarlingtonSherman TownshipShermanOhio TownshipUnion TownshipUnionGypsum TownshipGypsumPleasant TownshipPleasantNinnescah TownshipNinnescahKansasGarden Plain TownshipGdn PlainUnited States of AmericaUnited StatesAugusta TownshipAugustaWest North CentralMorton TownshipMortonWichita Metro AreaWichita AreaMidwestWichitaHarvey CountyHarveyRichland TownshipRichlandKechi TownshipKechiPark TownshipSpring TownshipSpgTowanda TownshipTowandaIllinois TownshipIllinoisOxford TownshipOxfordNewton030600Tract 030600AugustaHalsteadWaco 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%1,0751335.185185%35.185185%35.2%13334.792368%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%71,75771.8k2327.678649%27.678649%27.7%6,36027.220779%27.220779%27.2%5242427.188708%27.188708%27.2%1,6182527.018739%27.018739%27.0%7932626.813880%26.813880%26.8%2552726.274510%26.274510%26.3%4022825.209380%25.209380%25.2%3012924.854820%24.854820%24.9%2143024.513344%24.513344%24.5%3,1233124.185325%24.185325%24.2%1,09122.960251%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#16

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 Darlington Township, selected other county subdivisions in the Wichita Area, and entities that contain the Darlington Township
0%5%10%Count#Minneha TownshipMinnehaNewton TownshipNewtonBel AireBenton TownshipBentonDarlington TownshipDarlingtonBruno TownshipBrunoUnited States of AmericaUnited StatesHalsteadKansasWest North CentralPayne TownshipPayneMidwestPleasant TownshipPleasantWichitaEmma TownshipHarvey CountyHarveyWichita Metro AreaWichita AreaWellingtonKechi TownshipKechiGarden Plain TownshipGdn PlainAfton TownshipAftonNewtonMilton TownshipMiltonAttica TownshipAtticaRockford TownshipRockford030600Tract 030600Gypsum TownshipGypsumRichland TownshipRichlandOxford TownshipOxfordConway TownshipConwayIllinois TownshipIllinoisBurrton TownshipBurrtonGrant TownshipGrantNinnescah TownshipNinnescahRiverside TownshipRiversideValley Center TownshipVly CtrPark 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%7843.439153%3.439153%3.4%133.350431%3.350431%3.4%30753.336158%3.336158%3.3%7,127,6737.13M3.099017%3.099017%3.1%4163.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.960103%2.960103%3.0%2372.893416%2.893416%2.9%1,311,0191.31M2.836041%2.836041%2.8%9682.519246%2.519246%2.5%6,26092.507625%2.507625%2.5%74102.241274%2.241274%2.2%5152.227815%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%251181.596098%1.596098%1.6%721.595968%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%27280.851789%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).

Over-Education Sex Ratio by County Subdivision#17

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 Darlington Township, selected other county subdivisions in the Wichita Area, and entities that contain the Darlington Township
Female
Male
10x5x0x5x10xFM#DarlingtonAugustaPark TownshipTowandaConwayEagleGreeleyPayneNewtonRockfordGypsumEmma TownshipBentonMinnehaKechiEl DoradoShermanPleasantCaldwellWichitaWichita AreaAtticaRiversideBel AireMidwestWest North CentralKansasUnited StatesHarveyGdn PlainIllinoisWellingtonOxfordBrunoSedgwickNewtonTract 030600MortonUnionBelle PlaineHalsteadAftonGrantBurrtonMiltonProspectSalemVly CtrNinnescahKingmanRichland-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.806%6.81%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.585%0.58%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.817%1.82%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.471%1.47%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.186%3.19%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.527%1.53%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.502%1.50%6-1.000000x-1.000000x7.564103x7.564103x7.56x0.726%0.73%5.495%5.49%7-1.000000x-1.000000x5.244244x5.244244x5.24x2.225%2.23%11.669%11.7%8-1.000000x-1.000000x4.747377x4.747377x4.75x0.578%0.58%2.744%2.74%9-1.000000x-1.000000x4.205639x4.205639x4.21x0.620%0.62%2.606%2.61%10-1.000000x-1.000000x3.317895x3.317895x3.32x1.206%1.21%4.000%4.00%11-1.000000x-1.000000x3.300282x3.300282x3.30x2.475%2.48%8.169%8.17%12-1.000000x-1.000000x3.221465x3.221465x3.22x6.566%6.57%21.152%21.2%13-1.000000x-1.000000x2.366516x2.366516x2.37x1.297%1.30%3.069%3.07%14-1.000000x-1.000000x2.295552x2.295552x2.30x0.501%0.50%1.150%1.15%15-1.000000x-1.000000x2.290323x2.290323x2.29x0.469%0.47%1.075%1.08%16-1.000000x-1.000000x2.026520x2.026520x2.03x1.893%1.89%3.837%3.84%17-1.000000x-1.000000x1.870787x1.870787x1.87x0.450%0.45%0.843%0.84%18-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%19-1.000000x-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-1.000000x-1.000000x1.677467x1.677467x1.68x1.274%1.27%2.137%2.14%20-1.000000x-1.000000x1.637602x1.637602x1.64x0.740%0.74%1.212%1.21%21-1.000000x-1.000000x1.613494x1.613494x1.61x4.704%4.70%7.589%7.59%22-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502165x1.502165x1.50x1.808%1.81%2.716%2.72%-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%29-1.007861x-1.007861x1.01x1.000000x1.000000x1.602%1.60%1.590%1.59%-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 Darlington Township to the 50 most populous county subdivisions in Kansas and to those entities that contain or substantially overlap with the Darlington Township. The least populous of the compared county subdivisions has a population of 7,732.

No H.S. Diploma by County Subdivision#18

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Darlington Township, selected other county subdivisions in Kansas, and entities that contain the Darlington Township
0%10%20%30%Count#LiberalDodge CityGarden CityKansas CityGreat BendCoffeyvilleArkansas CityParsonsHutchinsonEmporiaUnited States of AmericaUnited StatesWichitaChanutePittsburgSalinaTopekaNewtonFort ScottLansingRiverside TownshipRiversideIndependenceWichita Metro AreaWichita AreaMidwestJunction CityAugustaOttawaWinfieldKansas030600Tract 030600WellingtonHarvey CountyHarveyWest North CentralLeavenworthSalem TownshipSalemKechi TownshipKechiEl DoradoAtchisonOlatheMerriamHaysShawneeGardnerFairmount TownshipFairmountMcPhersonLawrenceTecumseh TownshipTecumsehLenexaManhattanBruno TownshipBrunoMissionRockford TownshipRockfordOverland ParkMission TownshipMissionMadison TownshipMadisonSoldier TownshipSoldierPrairie VillagePrairie VlgLeawoodDarlington TownshipDarlington34.641303%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%182,049182k9.620927%9.620927%9.6%4349.444135%9.444135%9.4%508259.321960%9.321960%9.3%2,1429.174633%9.174633%9.2%1,278,0511.28M8.617355%8.617355%8.6%2,005268.603845%8.603845%8.6%546278.502773%8.502773%8.5%506288.221457%8.221457%8.2%692297.664294%7.664294%7.7%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%244481.096310%1.096310%1.1%172490.675882%0.675882%0.7%155500.000000%0.000000%0.0%0
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#19

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Darlington Township, selected other county subdivisions in Kansas, and entities that contain the Darlington Township
0%20%40%60%Count#LeawoodPrairie VillagePrairie VlgOverland ParkLenexaLawrenceMissionManhattanMission TownshipMissionOlatheShawneeBruno TownshipBrunoRockford TownshipRockfordFairmount TownshipFairmountHaysDarlington TownshipDarlingtonMerriamGardnerPittsburgSoldier TownshipSoldierKansasLeavenworthUnited States of AmericaUnited StatesWest North CentralTecumseh TownshipTecumsehWichita Metro AreaWichita AreaMcPhersonMidwestWichitaLansingHarvey CountyHarveyEmporiaKechi TownshipKechiTopekaNewton030600Tract 030600AtchisonSalinaAugustaEl 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%4,5331435.185185%35.185185%35.2%13334.135720%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%2,3342327.678649%27.678649%27.7%6,36027.380185%27.380185%27.4%3,8222427.188708%27.188708%27.2%1,6182527.007248%27.007248%27.0%22,95423.0k2624.513344%24.513344%24.5%3,1232724.185325%24.185325%24.2%1,09123.671578%23.671578%23.7%1,4302823.516624%23.516624%23.5%7,3562922.960251%22.960251%23.0%1,3173021.527860%21.527860%21.5%1,8123121.509577%21.509577%21.5%1,7073221.507281%21.507281%21.5%1,0933321.356674%21.356674%21.4%2,9283420.856164%20.856164%20.9%1,2183520.566579%20.566579%20.6%1,6483619.348723%19.348723%19.3%1,7353718.871887%18.871887%18.9%1,2583818.611465%18.611465%18.6%2,9223918.293363%18.293363%18.3%9844018.171888%18.171888%18.2%5,1574116.982249%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#20

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 Darlington Township, selected other county subdivisions in Kansas, and entities that contain the Darlington Township
0%5%10%Count#LeawoodManhattanPrairie VillagePrairie VlgLawrenceMission TownshipMissionOverland ParkLenexaShawneeHaysMissionDarlington TownshipDarlingtonPittsburgBruno TownshipBrunoUnited States of AmericaUnited StatesTopekaParsonsKansasAtchisonWest North CentralMidwestFairmount TownshipFairmountOlatheSalinaFort ScottWichitaEmporiaHarvey CountyHarveyMerriamWichita Metro AreaWichita AreaWellingtonKechi TownshipKechiSoldier TownshipSoldierMcPhersonLansingWinfieldTecumseh TownshipTecumsehGreat BendNewtonRockford TownshipRockfordJunction City030600Tract 030600OttawaIndependenceLeavenworthChanuteKansas CityGarden CityDodge CityHutchinsonMadison TownshipMadisonRiverside TownshipRiversideGardnerEl 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%235103.439153%3.439153%3.4%133.373471%3.373471%3.4%353113.350431%3.350431%3.4%307123.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748133.090309%3.090309%3.1%206143.019438%3.019438%3.0%56,72056.7k3.012746%3.012746%3.0%182152.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.849701%2.849701%2.8%186162.830666%2.830666%2.8%2,349172.608696%2.608696%2.6%816182.597403%2.597403%2.6%132192.519246%2.519246%2.5%6,260202.399885%2.399885%2.4%335212.241274%2.241274%2.2%5152.237813%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%221331.596098%1.596098%1.6%721.584924%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%114440.796008%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).

Over-Education Sex Ratio by County Subdivision#21

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 Darlington Township, selected other county subdivisions in Kansas, and entities that contain the Darlington Township
Female
Male
10x5x0x5x10xFM#DarlingtonAugustaChanuteWinfieldRockfordSoldierEmporiaArkansas CityHutchinsonMerriamMissionKechiGardnerEl DoradoFort ScottLeawoodGarden CityMadisonParsonsPittsburgWichitaSalinaJunction CityWichita AreaOverland ParkOlatheRiversideMcPhersonPrairie VlgMidwestOttawaWest North CentralKansasKansas CityLenexaUnited StatesHarveyTopekaLeavenworthIndependenceManhattanDodge CityShawneeWellingtonLawrenceAtchisonBrunoHaysCoffeyvilleNewtonLiberalGreat BendTract 030600MissionTecumsehLansingFairmountSalem-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.806%6.81%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.585%0.58%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.063%0.06%3.020%3.02%2-1.000000x-1.000000x7.288333x7.288333x7.29x0.434%0.43%3.162%3.16%3-1.000000x-1.000000x4.747377x4.747377x4.75x0.578%0.58%2.744%2.74%4-1.000000x-1.000000x4.007141x4.007141x4.01x0.838%0.84%3.357%3.36%5-1.000000x-1.000000x3.312765x3.312765x3.31x1.125%1.12%3.725%3.73%6-1.000000x-1.000000x2.998168x2.998168x3.00x0.293%0.29%0.880%0.88%7-1.000000x-1.000000x2.794101x2.794101x2.79x0.539%0.54%1.505%1.51%8-1.000000x-1.000000x2.782546x2.782546x2.78x1.199%1.20%3.337%3.34%9-1.000000x-1.000000x2.537230x2.537230x2.54x4.094%4.09%10.388%10.4%10-1.000000x-1.000000x2.366516x2.366516x2.37x1.297%1.30%3.069%3.07%11-1.000000x-1.000000x2.304595x2.304595x2.30x0.567%0.57%1.308%1.31%12-1.000000x-1.000000x2.295552x2.295552x2.30x0.501%0.50%1.150%1.15%13-1.000000x-1.000000x2.270873x2.270873x2.27x1.661%1.66%3.773%3.77%14-1.000000x-1.000000x2.087205x2.087205x2.09x9.355%9.35%19.525%19.5%15-1.000000x-1.000000x2.084839x2.084839x2.08x0.895%0.90%1.866%1.87%16-1.000000x-1.000000x2.009602x2.009602x2.01x0.614%0.61%1.235%1.23%17-1.000000x-1.000000x1.908318x1.908318x1.91x2.176%2.18%4.153%4.15%18-1.000000x-1.000000x1.879461x1.879461x1.88x2.394%2.39%4.500%4.50%19-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%20-1.000000x-1.000000x1.784144x1.784144x1.78x1.895%1.89%3.381%3.38%21-1.000000x-1.000000x1.763230x1.763230x1.76x1.173%1.17%2.068%2.07%22-1.000000x-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%23-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%24-1.000000x-1.000000x1.637602x1.637602x1.64x0.740%0.74%1.212%1.21%25-1.000000x-1.000000x1.636870x1.636870x1.64x1.489%1.49%2.438%2.44%26-1.000000x-1.000000x1.609745x1.609745x1.61x7.994%7.99%12.868%12.9%27-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.584551x1.584551x1.58x1.249%1.25%1.979%1.98%28-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%29-1.000000x-1.000000x1.562944x1.562944x1.56x4.233%4.23%6.617%6.62%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502165x1.502165x1.50x1.808%1.81%2.716%2.72%-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%45-1.007861x-1.007861x1.01x1.000000x1.000000x1.602%1.60%1.590%1.59%-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 Darlington Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Darlington Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#22

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Darlington Township, selected other county subdivisions in the Midwest, and entities that contain the Darlington 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 FallsKansas030600Tract 030600Harvey CountyHarveyWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborDarlington TownshipDarlington33.464284%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%182,049182k9.620927%9.620927%9.6%4349.321960%9.321960%9.3%2,1429.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%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%2,057500.000000%0.000000%0.0%0
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#23

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Darlington Township, selected other county subdivisions in the Midwest, and entities that contain the Darlington Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalDarlington TownshipDarlingtonColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsKansasUnited States of AmericaUnited StatesSioux FallsWest North CentralWichita Metro AreaWichita AreaMidwestWichitaHarvey CountyHarveySterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorth030600Tract 030600MilwaukeeRockford 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%28,78028.8k2135.185185%35.185185%35.2%13334.685843%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%71,75771.8k3027.678649%27.678649%27.7%6,36027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3524.185325%24.185325%24.2%1,09123.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#24

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 Darlington Township, selected other county subdivisions in the Midwest, and entities that contain the Darlington Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineDarlington TownshipDarlingtonWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceKansasWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaHarvey CountyHarveyWichita Metro AreaWichita AreaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledo030600Tract 030600North TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%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%2,782203.439153%3.439153%3.4%133.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472253.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.241274%2.241274%2.2%5152.227815%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%3,018401.596098%1.596098%1.6%721.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Over-Education Sex Ratio by County Subdivision#25

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 Darlington Township, selected other county subdivisions in the Midwest, and entities that contain the Darlington Township
Female
Male
0x5x10xFM#DarlingtonRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipWichita AreaSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansasKansas CityAuroraUnited StatesAnn ArborHarveyTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoTract 030600Thornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.806%6.81%-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-1.000000x1.502165x1.502165x1.50x1.808%1.81%2.716%2.72%-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%49-1.007861x-1.007861x1.01x1.000000x1.000000x1.602%1.60%1.590%1.59%-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 Darlington Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Darlington Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#26

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Darlington Township, selected other county subdivisions in the United States, and entities that contain the Darlington 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 HarrisWashingtonKansas030600Tract 030600AtlantaHarvey CountyHarveyWest North CentralSeattleNortheast TarrantNE TarrantPlanoSeattle EastDarlington TownshipDarlington28.998944%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%182,049182k9.620927%9.620927%9.6%4349.538552%9.538552%9.5%37,37337.4k469.321960%9.321960%9.3%2,1429.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k500.000000%0.000000%0.0%0
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#27

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Darlington Township, selected other county subdivisions in the United States, and entities that contain the Darlington Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoDarlington TownshipDarlingtonColumbusLos 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…SacramentoHarvey CountyHarveyEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort Worth030600Tract 030600Southwest DallasSW DallasMilwaukeeFresnoLas 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%669,666670k1735.185185%35.185185%35.2%13334.685843%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%209,283209k3627.678649%27.678649%27.7%6,36027.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4124.185325%24.185325%24.2%1,09123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#28

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 Darlington Township, selected other county subdivisions in the United States, and entities that contain the Darlington 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…Darlington TownshipDarlingtonBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaKansasPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioHarvey CountyHarveyWichita Metro AreaWichita AreaFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronx030600Tract 030600Detroit12.461852%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%15,21115.2k273.439153%3.439153%3.4%133.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.019438%3.019438%3.0%56,72056.7k3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.241274%2.241274%2.2%5152.227815%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%15,06415.1k491.596098%1.596098%1.6%721.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Darlington Township, selected other county subdivisions in the United States, and entities that contain the Darlington Township
Female
Male
0x5x10xFM#DarlingtonEl PasoSalt Lk CityPlanoWichita AreaTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralKansasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHarveyHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTract 030600-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.806%6.81%-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-1.000000x1.502165x1.502165x1.50x1.808%1.81%2.716%2.72%-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%50-1.007861x-1.007861x1.01x1.000000x1.000000x1.602%1.60%1.590%1.59%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Kansas
County:
Harvey
Metro Area:
Wichita Area
ZIP Codes:
67114, 67135
Unified School Districts:
Newton 373, Remington-Whitewater 206, Sedgwick 439, Valley Center 262
Congressional District:
KS-4
State Senate District:
KS-31
State House Districts:
KS-72, KS-74
Neighboring Cities:
Newton
Neighboring Townships:
Grant, Lincoln, Newton, Pleasant, Richland, Sedgwick, Valley Center
Nearby Townships:
Highland, Kechi, Lakin, Macon, Milton, Murdock, Payne, Walton