Educational Attainment in the Cliff Township, Custer County, Nebraska (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Custer County and the Cliff Township
Cliff Township
Custer County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma277.049180%32.371326%77.049180%77.0%4719.672131%59.954781%19.672131%19.7%123.278689%7.673893%3.278689%3.3%2
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 Custer County at large.
Scope: population of Custer County and the Cliff Township
-100%0%+100%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2138.016757%138.016757%+138.0%77.049%77.0%32.371%32.4%-67.188386%-67.188386%-67.2%19.672%19.7%59.955%60.0%-57.274768%-57.274768%-57.3%3.279%3.28%7.674%7.67%
% percentage with given level in the Cliff Township
ref. percentage with given level in Custer 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 Custer County and the Cliff Township
Cliff Township
Custer County
0%10%20%30%40%50%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None3.278689%1.489560%3.278689%3.3%20.000000%0.000000%0.0%0.638383%00.000000%0.000000%0.0%4.867669%050.819672%14.443410%50.819672%50.8%3122.950820%10.932305%22.950820%23.0%1413.114754%27.370661%13.114754%13.1%86.557377%32.584120%6.557377%6.6%40.000000%0.000000%0.0%4.787871%00.000000%0.000000%0.0%2.287538%03.278689%0.598484%3.278689%3.3%2
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 Custer County at large.
Scope: population of Custer County and the Cliff Township
0%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None120.111241%120.111241%+120.1%3.279%3.28%1.490%1.49%-100.000000%-100.000000%-100.0%0.000%0%0.638%0.64%-100.000000%-100.000000%-100.0%0.000%0%4.868%4.87%251.853697%251.853697%+251.9%50.820%50.8%14.443%14.4%109.935782%109.935782%+109.9%22.951%23.0%10.932%10.9%-52.084628%-52.084628%-52.1%13.115%13.1%27.371%27.4%-79.875544%-79.875544%-79.9%6.557%6.56%32.584%32.6%-100.000000%-100.000000%-100.0%0.000%0%4.788%4.79%-100.000000%-100.000000%-100.0%0.000%0%2.288%2.29%447.832423%447.832423%+447.8%3.279%3.28%0.598%0.60%
% percentage with given level in the Cliff Township
ref. percentage with given level in Custer 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 Custer County and the Cliff Township
More Females More Males
Custer County
Cliff Township
0%500%1,000%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-26.720000%-18.321797%-26.720000%27%88.000%88.0%69.444%69.4%108.333333%5.605957%108.333333%108%12.000%12.0%25.000%25.0%1,000.000000%32.518594%1,000.000000%> 1000%0.000%0%5.556%5.56%
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 Custer County and the Cliff Township
More Females More Males
Custer County
Cliff Township
1k%0k%1k%FMDoctorate1Bachelor's1Associate's1Some CollegeHigh School2None-1,000.000000%-1,000.000000%> 1000%73.682781%8.000%8.00%0.000%0%-18.588235%-37.701002%-18.588235%0k%56.000%56.0%47.222%47.2%-8.000000%-6.814517%-8.000000%0k%24.000%24.0%22.222%22.2%-26.936312%15.740741%15.740741%0k%12.000%12.0%13.889%13.9%1,000.000000%35.072138%1,000.000000%> 1000%0.000%0%11.111%11.1%1,000.000000%1,000.000000%1,000.000000%> 1000%0.000%0%5.556%5.56%
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 Custer County and the Cliff Township
Cliff Township
Custer County
0%10%20%30%40%50%B.X.Total65+45-6435-4425-3440.000000%11.130742%40.000000%40.0%2558.620690%14.314314%58.620690%58.6%17290.000000%0.000000%0.0%17.293233%0657.142857%18.661640%57.142857%57.1%1221
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 Custer County at large.
Scope: population of Custer County and the Cliff Township
100%0%100%200%300%%ref.65+45-6435-4425-34259.365079%259.365079%259.4%40.000%40.0%11.131%11.1%309.524958%309.524958%309.5%58.621%58.6%14.314%14.3%-100.000000%-100.000000%100.0%0.000%0%17.293%17.3%206.204906%206.204906%206.2%57.143%57.1%18.662%18.7%
% percentage in the Cliff Township with a Bachelor's degree
ref percentage in Custer 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 Custer County and the Cliff Township
More Females More Males
Custer County
Cliff Township
100%50%0%FM45-6425-34-27.100840%0.840336%0.840336%0.8%58.333%58.3%58.824%58.8%-128.571429%-91.946640%-128.571429%128.6%100.000%100%43.750%43.8%
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 Custer County and the Cliff Township
Cliff Township
Custer County
$0k$10k$20k$30k$40k$50kCount%Some CollegeTotal$50,000.000000$31,777.000000$50,000.000000$50.0k2236.066%36.1%$41,563.000000$32,697.000000$41,563.000000$41.6k61100.000%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 Custer County and the Cliff Township
Cliff Township
Custer County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma390.322581%89.321192%90.322581%90.3%2884.210526%81.886625%84.210526%84.2%16100.000000%79.232351%100.000000%100.0%40.000000%0.000000%0.0%65.757576%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 Custer County and the Cliff Township
Female Male
Custer County
Cliff Township
Shaded bar tips show excess over facing bar.
4%2%0%2%4%6%MFWhite1-0.000000%-5.785791%0.000000%0.0%0.000000%5.555556%5.785791%1.451235%5.555556%5.6%20
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 Custer County and the Cliff Township
Female Male
Custer County
Cliff Township
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%MFWhite1-47.222222%-16.777778%-19.326788%-4.139304%-64.000000%64.0%47.222222%19.326788%47.222222%47.2%1716
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 Nebraska

There are 1,198 county subdivisions in Nebraska. This section compares the Cliff Township to the 50 most populous county subdivisions in Nebraska and to those entities that contain or substantially overlap with the Cliff Township. The least populous of the compared county subdivisions has a population of 3,816.

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 Cliff Township, selected other county subdivisions in Nebraska, and entities that contain the Cliff Township
0%10%20%30%40%Count#SchuylerLexingtonSouth Sioux CityS Sioux CityCreteGrand IslandScottsbluffFairburyFremontUnited States of AmericaUnited StatesBeatriceColumbusOmahaCozadNorfolkNebraska CityDouglas PrecinctDouglasHastingsMidwestBuffalo Precinct 1010North Platte PrecinctN PlatteNebraskaWest North CentralWahooOgallalaEleven PrecinctElevenFalls CityCuster CountyCusterPlattsmouthBellevue PrecinctBellevueGeringLincolnSidneySewardMcCookYorkPapillion Second II PrecinctPapillion 2nd IILa Vista PrecinctLa VisBlairHamilton Precinct 44Union PrecinctUnion971800Tract 971800Papillion PrecinctPapillionCliff TownshipCliffBuffalo Precinct 77McArdle PrecinctMcArdleWashington Township 11Jefferson PrecinctJeffersonRichland VII PrecinctRichland VIIRichland VIII PrecinctRichland VIIIBellevue Second I PrecinctBellevue 2nd IMillard PrecinctMillardWaverly PrecinctWaverlyPapillion Second I PrecinctPapillion 2nd IMelia-Forest City PrecinctMelia-Frst CityChicago PrecinctChicagoBellevue Second II PrecinctBellevue 2nd IIBellevue Second III PrecinctBellevue 2nd III46.888567%46.888567%46.9%1,620144.841001%44.841001%44.8%2,651230.959673%30.959673%31.0%2,426327.131783%27.131783%27.1%1,050418.582370%18.582370%18.6%5,993518.143593%18.143593%18.1%1,726615.527950%15.527950%15.5%425714.482599%14.482599%14.5%2,501813.020590%13.020590%13.0%27,818,38027.8M12.583988%12.583988%12.6%1,105912.234261%12.234261%12.2%1,7841012.198899%12.198899%12.2%35,05035.1k1111.541219%11.541219%11.5%3221210.713358%10.713358%10.7%1,6491310.640049%10.640049%10.6%5171410.547300%10.547300%10.5%5821510.420360%10.420360%10.4%1,6461610.244520%10.244520%10.2%4,641,8354.64M9.802306%9.802306%9.8%238179.623689%9.623689%9.6%1,560189.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M9.168662%9.168662%9.2%268199.015128%9.015128%9.0%292208.940959%8.940959%8.9%580218.278717%8.278717%8.3%240227.673893%7.673893%7.7%5777.596751%7.596751%7.6%318237.520337%7.520337%7.5%2,496247.115044%7.115044%7.1%402257.092309%7.092309%7.1%11,88611.9k266.980587%6.980587%7.0%338276.379433%6.379433%6.4%268286.256389%6.256389%6.3%306296.051262%6.051262%6.1%314305.969125%5.969125%6.0%174315.315850%5.315850%5.3%600325.007391%5.007391%5.0%271334.996481%4.996481%5.0%142344.941076%4.941076%4.9%348354.637395%4.637395%4.6%943.926781%3.926781%3.9%517363.278689%3.278689%3.3%23.202135%3.202135%3.2%48373.096319%3.096319%3.1%307382.577512%2.577512%2.6%69392.514838%2.514838%2.5%250402.283850%2.283850%2.3%126412.254592%2.254592%2.3%178422.110927%2.110927%2.1%51431.547246%1.547246%1.5%84441.507742%1.507742%1.5%37451.502630%1.502630%1.5%60461.363073%1.363073%1.4%44471.345740%1.345740%1.3%269481.278863%1.278863%1.3%36491.242028%1.242028%1.2%3750
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 Cliff Township, selected other county subdivisions in Nebraska, and entities that contain the Cliff Township
0%20%40%60%Count#Chicago PrecinctChicagoBellevue Second II PrecinctBellevue 2nd IIPapillion Second I PrecinctPapillion 2nd IJefferson PrecinctJeffersonBellevue Second III PrecinctBellevue 2nd IIICliff TownshipCliffMcArdle PrecinctMcArdleMillard PrecinctMillardRichland VII PrecinctRichland VIIRichland VIII PrecinctRichland VIIIMelia-Forest City PrecinctMelia-Frst CityPapillion Second II PrecinctPapillion 2nd IIBuffalo Precinct 77Union PrecinctUnionPapillion PrecinctPapillionLincolnWashington Township 11OmahaSewardWaverly PrecinctWaverlyLa Vista PrecinctLa VisYorkDouglas PrecinctDouglasBellevue Second I PrecinctBellevue 2nd IUnited States of AmericaUnited StatesWest North CentralNebraskaMidwestBlairBellevue PrecinctBellevueWahoo971800Tract 971800SidneyHastingsHamilton Precinct 44GeringOgallalaColumbusCuster CountyCusterScottsbluffNorth Platte PrecinctN PlatteCozadFalls CityNorfolkFremontBeatriceMcCookNebraska CityGrand IslandBuffalo Precinct 1010Eleven PrecinctElevenPlattsmouthCreteSouth Sioux CityS Sioux CityFairburyLexingtonSchuyler60.613337%60.613337%60.6%12,11612.1k159.822380%59.822380%59.8%1,684255.822690%55.822690%55.8%2,229354.571975%54.571975%54.6%5,425454.279960%54.279960%54.3%1,617554.098361%54.098361%54.1%3353.756934%53.756934%53.8%5,330653.748388%53.748388%53.7%2,918752.039152%52.039152%52.0%2,871850.082331%50.082331%50.1%3,954950.030979%50.030979%50.0%1,6151048.953688%48.953688%49.0%1,4271145.163442%45.163442%45.2%6771240.905864%40.905864%40.9%2,8811339.450099%39.450099%39.5%5,1941437.146608%37.146608%37.1%62,25462.3k1536.421367%36.421367%36.4%9751634.651487%34.651487%34.7%99,56199.6k1733.611045%33.611045%33.6%1,4121833.048085%33.048085%33.0%8111932.630460%32.630460%32.6%3,6832032.125650%32.125650%32.1%1,6672131.623777%31.623777%31.6%1,7452231.581126%31.581126%31.6%7632330.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.984843%29.984843%30.0%366,783367k28.952816%28.952816%29.0%13,118,64213.1M28.806356%28.806356%28.8%1,5592428.472431%28.472431%28.5%9,4502527.745467%27.745467%27.7%8112627.627035%27.627035%27.6%56026.869062%26.869062%26.9%1,3012723.037478%23.037478%23.0%3,6392822.976777%22.976777%23.0%6532922.530973%22.530973%22.5%1,2733022.136462%22.136462%22.1%7173122.123166%22.123166%22.1%3,2263221.439021%21.439021%21.4%1,61221.097446%21.097446%21.1%2,0073320.814312%20.814312%20.8%3,3743420.394265%20.394265%20.4%5693519.730942%19.730942%19.7%5723619.555613%19.555613%19.6%3,0103719.103596%19.103596%19.1%3,2993819.098053%19.098053%19.1%1,6773918.196688%18.196688%18.2%8904018.048981%18.048981%18.0%8774117.977737%17.977737%18.0%5,7984217.051071%17.051071%17.1%4144314.228457%14.228457%14.2%9234414.070712%14.070712%14.1%5894513.126615%13.126615%13.1%5084612.455334%12.455334%12.5%9764710.632079%10.632079%10.6%291488.355886%8.355886%8.4%494497.467438%7.467438%7.5%25850
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 Cliff Township, selected other county subdivisions in Nebraska, and entities that contain the Cliff Township
0%2%4%6%8%Count#Buffalo Precinct 77Millard PrecinctMillardChicago PrecinctChicagoSewardRichland VIII PrecinctRichland VIIIMcArdle PrecinctMcArdleJefferson PrecinctJeffersonLincolnPapillion Second II PrecinctPapillion 2nd IIPapillion Second I PrecinctPapillion 2nd IOmahaRichland VII PrecinctRichland VIIBellevue Second II PrecinctBellevue 2nd IIMelia-Forest City PrecinctMelia-Frst CityBellevue Second I PrecinctBellevue 2nd IWashington Township 11United States of AmericaUnited StatesCliff TownshipCliffYorkWest North CentralNebraskaMidwestUnion PrecinctUnionOgallalaPapillion PrecinctPapillionBellevue Second III PrecinctBellevue 2nd IIILa Vista PrecinctLa VisScottsbluffHastingsMcCookCuster CountyCuster971800Tract 971800ColumbusGeringBeatriceBlairWahooDouglas PrecinctDouglasGrand IslandNorfolkSidneyNorth Platte PrecinctN PlatteBellevue PrecinctBellevuePlattsmouthFairburyCreteFremontLexingtonHamilton Precinct 44Eleven PrecinctElevenCozadWaverly PrecinctWaverlySouth Sioux CityS Sioux CityNebraska CityBuffalo Precinct 1010SchuylerFalls City8.072048%8.072048%8.1%12116.649475%6.649475%6.6%36125.648106%5.648106%5.6%1,12935.165437%5.165437%5.2%21744.686510%4.686510%4.7%37054.649521%4.649521%4.6%46164.597123%4.597123%4.6%45774.568292%4.568292%4.6%7,65684.253859%4.253859%4.3%12494.132231%4.132231%4.1%165104.059919%4.059919%4.1%11,66511.7k113.969549%3.969549%4.0%219123.872114%3.872114%3.9%109133.841388%3.841388%3.8%124143.559603%3.559603%3.6%86153.361972%3.361972%3.4%90163.336158%3.336158%3.3%7,127,6737.13M3.278689%3.278689%3.3%23.121989%3.121989%3.1%162172.978981%2.978981%3.0%414,980415k2.935920%2.935920%2.9%35,91335.9k2.893416%2.893416%2.9%1,311,0191.31M2.782905%2.782905%2.8%196182.655140%2.655140%2.7%86192.627981%2.627981%2.6%346202.383350%2.383350%2.4%71212.294675%2.294675%2.3%259222.281089%2.281089%2.3%217232.266397%2.266397%2.3%358242.187692%2.187692%2.2%107252.127943%2.127943%2.1%1602.022694%2.022694%2.0%411.988753%1.988753%2.0%290261.964602%1.964602%2.0%111271.696845%1.696845%1.7%149281.681449%1.681449%1.7%91291.676360%1.676360%1.7%49301.667271%1.667271%1.7%92311.661964%1.661964%1.7%536321.611227%1.611227%1.6%248331.404378%1.404378%1.4%68341.357187%1.357187%1.4%220351.352817%1.352817%1.4%449361.313903%1.313903%1.3%55371.242236%1.242236%1.2%34381.240310%1.240310%1.2%48391.216052%1.216052%1.2%210401.167118%1.167118%1.2%69410.950035%0.950035%1.0%27420.863265%0.863265%0.9%56430.824373%0.824373%0.8%23440.774246%0.774246%0.8%19450.689127%0.689127%0.7%54460.617411%0.617411%0.6%30470.329489%0.329489%0.3%8480.000000%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#17

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 Cliff Township, selected other county subdivisions in Nebraska, and entities that contain the Cliff Township
Female
Male
10x5x0x5x10xFM#Cliff1Tract 971800FairburyCreteBlairPlattsmouthMcArdle47JeffersonMelia-Frst CityNorfolkColumbusFalls CityGrand IslandGeringCusterPapillion 2nd IScottsbluffBellevue 2nd ILincolnOmahaHastingsSchuylerChicagoNebraskaOgallalaUnion10West North CentralWahooMidwestUnited StatesCozadSewardLexingtonBeatriceFremontN PlatteDouglasMcCookRichland VIIIElevenBellevueSidneyS Sioux CityPapillionPapillion 2nd IILa VisNebraska CityRichland VIIYorkBellevue 2nd IIIWaverlyMillardBellevue 2nd II-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.556%5.56%-1.000000x-1.000000x2.962111x2.962111x2.96x1.291%1.29%3.824%3.82%1-1.000000x-1.000000x2.634908x2.634908x2.63x2.525%2.53%6.654%6.65%-1.000000x-1.000000x2.026915x2.026915x2.03x10.641%10.6%21.569%21.6%2-1.000000x-1.000000x1.979079x1.979079x1.98x18.311%18.3%36.239%36.2%3-1.000000x-1.000000x1.874899x1.874899x1.87x3.585%3.58%6.721%6.72%4-1.000000x-1.000000x1.855113x1.855113x1.86x5.306%5.31%9.844%9.84%5-1.000000x-1.000000x1.837143x1.837143x1.84x2.251%2.25%4.135%4.13%6-1.000000x-1.000000x1.831642x1.831642x1.83x3.607%3.61%6.606%6.61%7-1.000000x-1.000000x1.793629x1.793629x1.79x2.317%2.32%4.155%4.16%8-1.000000x-1.000000x1.692289x1.692289x1.69x1.889%1.89%3.197%3.20%9-1.000000x-1.000000x1.512224x1.512224x1.51x1.090%1.09%1.649%1.65%10-1.000000x-1.000000x1.487250x1.487250x1.49x8.689%8.69%12.923%12.9%11-1.000000x-1.000000x1.400294x1.400294x1.40x10.219%10.2%14.310%14.3%12-1.000000x-1.000000x1.388192x1.388192x1.39x7.044%7.04%9.778%9.78%13-1.000000x-1.000000x1.360210x1.360210x1.36x15.775%15.8%21.457%21.5%14-1.000000x-1.000000x1.345187x1.345187x1.35x6.120%6.12%8.233%8.23%15-1.000000x-1.000000x1.325186x1.325186x1.33x6.620%6.62%8.772%8.77%-1.000000x-1.000000x1.277949x1.277949x1.28x1.323%1.32%1.691%1.69%16-1.000000x-1.000000x1.260725x1.260725x1.26x16.224%16.2%20.454%20.5%17-1.000000x-1.000000x1.240747x1.240747x1.24x1.870%1.87%2.320%2.32%18-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%19-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%20-1.000000x-1.000000x1.229773x1.229773x1.23x9.369%9.37%11.522%11.5%21-1.000000x-1.000000x1.212474x1.212474x1.21x42.166%42.2%51.126%51.1%22-1.000000x-1.000000x1.204076x1.204076x1.20x1.224%1.22%1.474%1.47%23-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-1.000000x-1.000000x1.178840x1.178840x1.18x8.299%8.30%9.783%9.78%24-1.000000x-1.000000x1.158189x1.158189x1.16x4.611%4.61%5.341%5.34%25-1.000000x-1.000000x1.143760x1.143760x1.14x9.129%9.13%10.442%10.4%26-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136717x1.136717x1.14x8.642%8.64%9.823%9.82%27-1.000000x-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-1.000000x1.078093x1.078093x1.08x11.134%11.1%12.003%12.0%28-1.000000x-1.000000x1.076953x1.076953x1.08x6.148%6.15%6.621%6.62%29-1.000000x-1.000000x1.068696x1.068696x1.07x43.310%43.3%46.285%46.3%30-1.000000x-1.000000x1.051358x1.051358x1.05x12.289%12.3%12.920%12.9%31-1.000000x-1.000000x1.049479x1.049479x1.05x14.153%14.2%14.853%14.9%32-1.000000x-1.000000x1.022054x1.022054x1.02x9.525%9.52%9.735%9.73%33-1.013683x-1.013683x1.01x1.000000x1.000000x10.615%10.6%10.472%10.5%34-1.032002x-1.032002x1.03x1.000000x1.000000x6.348%6.35%6.151%6.15%35-1.118500x-1.118500x1.12x1.000000x1.000000x2.382%2.38%2.130%2.13%36-1.176445x-1.176445x1.18x1.000000x1.000000x9.645%9.65%8.199%8.20%37-1.217855x-1.217855x1.22x1.000000x1.000000x8.228%8.23%6.756%6.76%38-1.241724x-1.241724x1.24x1.000000x1.000000x7.675%7.67%6.181%6.18%39-1.243536x-1.243536x1.24x1.000000x1.000000x34.037%34.0%27.371%27.4%40-1.352574x-1.352574x1.35x1.000000x1.000000x4.508%4.51%3.333%3.33%41-1.404296x-1.404296x1.40x1.000000x1.000000x6.926%6.93%4.932%4.93%42-1.456022x-1.456022x1.46x1.000000x1.000000x6.253%6.25%4.295%4.29%43-1.513869x-1.513869x1.51x1.000000x1.000000x12.671%12.7%8.370%8.37%44-1.611039x-1.611039x1.61x1.000000x1.000000x2.804%2.80%1.741%1.74%45-1.799205x-1.799205x1.80x1.000000x1.000000x7.653%7.65%4.254%4.25%46-2.135735x-2.135735x2.14x1.000000x1.000000x1.700%1.70%0.796%0.80%47-3.162239x-3.162239x3.16x1.000000x1.000000x2.301%2.30%0.728%0.73%48-5.526539x-5.526539x5.53x1.000000x1.000000x2.548%2.55%0.461%0.46%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.459%2.46%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

Over-Education Sex Ratio by County Subdivision#18

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 Cliff Township, selected other county subdivisions in Nebraska, and entities that contain the Cliff Township
Female
Male
10x5x0x5x10xFM#4CozadBeatriceS Sioux City7Tract 971800GeringFairburyLa VisPapillion 2nd IINorfolkHastingsFremontMillardPlattsmouthLexingtonScottsbluffSewardBellevue 2nd IIIYorkColumbusN PlatteWaverlyCusterMcArdleNebraska1OmahaBellevue 2nd IILincolnMidwestWest North CentralRichland VIIIUnited StatesWahooElevenChicagoBlairRichland VIIPapillion 2nd IJeffersonPapillionGrand IslandBellevue 2nd IBellevueUnionOgallalaMcCookSidneyMelia-Frst CityCreteNebraska CityDouglasCliff10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.050%2.05%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.758%1.76%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.086%0.09%3.528%3.53%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.095%0.09%1.382%1.38%4-1.000000x-1.000000x4.842798x4.842798x4.84x2.831%2.83%13.712%13.7%5-1.000000x-1.000000x4.637002x4.637002x4.64x0.707%0.71%3.279%3.28%-1.000000x-1.000000x4.074718x4.074718x4.07x0.803%0.80%3.271%3.27%6-1.000000x-1.000000x4.017361x4.017361x4.02x0.529%0.53%2.124%2.12%7-1.000000x-1.000000x3.949116x3.949116x3.95x0.952%0.95%3.758%3.76%8-1.000000x-1.000000x3.395378x3.395378x3.40x1.979%1.98%6.719%6.72%9-1.000000x-1.000000x3.205458x3.205458x3.21x0.784%0.78%2.514%2.51%10-1.000000x-1.000000x3.118254x3.118254x3.12x1.114%1.11%3.473%3.47%11-1.000000x-1.000000x2.874950x2.874950x2.87x0.646%0.65%1.857%1.86%12-1.000000x-1.000000x2.873188x2.873188x2.87x3.503%3.50%10.065%10.1%13-1.000000x-1.000000x2.873132x2.873132x2.87x0.675%0.68%1.940%1.94%14-1.000000x-1.000000x2.673132x2.673132x2.67x0.627%0.63%1.677%1.68%15-1.000000x-1.000000x2.637330x2.637330x2.64x1.309%1.31%3.451%3.45%16-1.000000x-1.000000x2.498867x2.498867x2.50x2.981%2.98%7.449%7.45%17-1.000000x-1.000000x2.487434x2.487434x2.49x1.360%1.36%3.382%3.38%18-1.000000x-1.000000x2.244581x2.244581x2.24x1.968%1.97%4.417%4.42%19-1.000000x-1.000000x2.216284x2.216284x2.22x1.244%1.24%2.756%2.76%20-1.000000x-1.000000x2.178361x2.178361x2.18x0.873%0.87%1.902%1.90%21-1.000000x-1.000000x2.131636x2.131636x2.13x0.493%0.49%1.051%1.05%22-1.000000x-1.000000x1.832653x1.832653x1.83x1.512%1.51%2.770%2.77%-1.000000x-1.000000x1.751644x1.751644x1.75x3.477%3.48%6.090%6.09%23-1.000000x-1.000000x1.674648x1.674648x1.67x2.207%2.21%3.696%3.70%-1.000000x-1.000000x1.672660x1.672660x1.67x2.506%2.51%4.191%4.19%24-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%25-1.000000x-1.000000x1.600834x1.600834x1.60x3.005%3.01%4.811%4.81%26-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%27-1.000000x-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-1.000000x1.535232x1.535232x1.54x3.689%3.69%5.663%5.66%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525849x1.525849x1.53x1.358%1.36%2.072%2.07%29-1.000000x-1.000000x1.511541x1.511541x1.51x0.691%0.69%1.045%1.04%30-1.000000x-1.000000x1.296929x1.296929x1.30x4.937%4.94%6.403%6.40%31-1.000000x-1.000000x1.286604x1.286604x1.29x1.488%1.49%1.914%1.91%32-1.000000x-1.000000x1.264646x1.264646x1.26x3.514%3.51%4.444%4.44%33-1.000000x-1.000000x1.254713x1.254713x1.25x3.675%3.67%4.611%4.61%34-1.000000x-1.000000x1.249877x1.249877x1.25x4.106%4.11%5.133%5.13%35-1.000000x-1.000000x1.160922x1.160922x1.16x2.434%2.43%2.826%2.83%36-1.000000x-1.000000x1.145464x1.145464x1.15x1.551%1.55%1.776%1.78%37-1.000000x-1.000000x1.097081x1.097081x1.10x3.384%3.38%3.712%3.71%38-1.000000x-1.000000x1.046934x1.046934x1.05x1.323%1.32%1.385%1.39%39-1.146411x-1.146411x1.15x1.000000x1.000000x2.953%2.95%2.576%2.58%40-1.179450x-1.179450x1.18x1.000000x1.000000x2.866%2.87%2.430%2.43%41-1.199167x-1.199167x1.20x1.000000x1.000000x2.371%2.37%1.977%1.98%42-2.081604x-2.081604x2.08x1.000000x1.000000x1.851%1.85%0.889%0.89%43-2.161720x-2.161720x2.16x1.000000x1.000000x5.209%5.21%2.410%2.41%44-2.351984x-2.351984x2.35x1.000000x1.000000x1.729%1.73%0.735%0.74%45-2.459454x-2.459454x2.46x1.000000x1.000000x0.858%0.86%0.349%0.35%46-3.488717x-3.488717x3.49x1.000000x1.000000x2.524%2.52%0.724%0.72%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.000%8.00%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.676%0.68%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 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 Cliff Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Cliff Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#19

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Cliff Township, selected other county subdivisions in the Midwest, and entities that contain the Cliff 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 TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsNebraskaWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgCuster CountyCusterLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadison971800Tract 971800Downers Grove TownshipDowners GrvLisle TownshipLisleOverland ParkCliff TownshipCliffAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%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%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.315025%9.315025%9.3%113,944114k9.174633%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%7,226387.673893%7.673893%7.7%5777.092309%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%7,351464.637395%4.637395%4.6%944.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.278689%3.278689%3.3%23.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#20

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Cliff Township, selected other county subdivisions in the Midwest, and entities that contain the Cliff Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonCliff TownshipCliffDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralNebraskaMidwestWichita971800Tract 971800Sterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordCuster CountyCusterAkronCenter 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%85,63285.6k554.098361%54.098361%54.1%3353.762123%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%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M29.984843%29.984843%30.0%366,783367k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.627035%27.627035%27.6%56027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3721.439021%21.439021%21.4%1,61220.213821%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#21

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 Cliff Township, selected other county subdivisions in the Midwest, and entities that contain the Cliff 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 StatesCliff TownshipCliffTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralNebraskaSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronCuster CountyCusterBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukee971800Tract 971800Worth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%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%7,127,6737.13M3.278689%3.278689%3.3%23.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.935920%2.935920%2.9%35,91335.9k2.911721%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%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.127943%2.127943%2.1%1602.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455372.022694%2.022694%2.0%411.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#22

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 Cliff Township, selected other county subdivisions in the Midwest, and entities that contain the Cliff Township
Female
Male
0x5x10xFM#CliffTract 971800CusterCedar RapidsLincolnDetroitOmahaToledoThorntonNebraskaKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.556%5.56%-1.000000x-1.000000x2.634908x2.634908x2.63x2.525%2.53%6.654%6.65%-1.000000x-1.000000x1.325186x1.325186x1.33x6.620%6.62%8.772%8.77%-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-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-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-1.000000x1.132245x1.132245x1.13x19.779%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-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#23

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 Cliff Township, selected other county subdivisions in the Midwest, and entities that contain the Cliff Township
Female
Male
10x5x0xFM#Tract 971800RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronCusterLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheNebraskaOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonCliff-1.000000x-1.000000x4.637002x4.637002x4.64x0.707%0.71%3.279%3.28%-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-1.000000x1.832653x1.832653x1.83x1.512%1.51%2.770%2.77%-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.674648x1.674648x1.67x2.207%2.21%3.696%3.70%-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-1.000000x1.570028x1.570028x1.57x1.087%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.000%8.00%0.000%0%
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 Cliff Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Cliff Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#24

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Cliff Township, selected other county subdivisions in the United States, and entities that contain the Cliff 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 CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaNebraskaWest North CentralSeattleNortheast TarrantNE TarrantCuster CountyCusterPlanoSeattle East971800Tract 971800Cliff TownshipCliff28.998944%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%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.673893%7.673893%7.7%5775.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.637395%4.637395%4.6%943.278689%3.278689%3.3%2
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#25

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Cliff Township, selected other county subdivisions in the United States, and entities that contain the Cliff Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoCliff TownshipCliffSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralNebraskaBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…Sacramento971800Tract 971800East San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasCuster CountyCusterEl 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%195,588196k554.098361%54.098361%54.1%3349.985845%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%184,237184k2631.198303%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%4,186,9564.19M29.984843%29.984843%30.0%366,783367k29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.627035%27.627035%27.6%56027.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.439021%21.439021%21.4%1,61221.071885%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#26

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 Cliff Township, selected other county subdivisions in the United States, and entities that contain the Cliff 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 StatesCliff TownshipCliffTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralNebraskaMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasCuster CountyCusterMilwaukee971800Tract 971800San BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%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%7,127,6737.13M3.278689%3.278689%3.3%23.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.935920%2.935920%2.9%35,91335.9k2.893416%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%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.127943%2.127943%2.1%1602.043126%2.043126%2.0%7,455442.022694%2.022694%2.0%411.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#27

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 Cliff Township, selected other county subdivisions in the United States, and entities that contain the Cliff Township
Female
Male
0x5x10xFM#CliffTract 971800Custer1, CharlotteDetroitNebraskaBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.556%5.56%-1.000000x-1.000000x2.634908x2.634908x2.63x2.525%2.53%6.654%6.65%-1.000000x-1.000000x1.325186x1.325186x1.33x6.620%6.62%8.772%8.77%-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-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-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-1.000000x1.127915x1.127915x1.13x9.647%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-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#28

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 Cliff Township, selected other county subdivisions in the United States, and entities that contain the Cliff Township
Female
Male
10x5x0xFM#Tract 971800El PasoSalt Lk CityCusterPlanoTulsaAlbuquerqueNE DallasFort WorthNebraskaOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle 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 FranciscoDetroitCliff-1.000000x-1.000000x4.637002x4.637002x4.64x0.707%0.71%3.279%3.28%-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-1.000000x1.832653x1.832653x1.83x1.512%1.51%2.770%2.77%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.674648x1.674648x1.67x2.207%2.21%3.696%3.70%-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-1.000000x1.557664x1.557664x1.56x4.733%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.000%8.00%0.000%0%
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:
Nebraska
County:
Custer
ZIP Codes:
68813, 68825, 68856, 69120
Unified School Districts:
Anselmo-Merna, Arnold
Congressional District:
NE-3
State Senate District:
NE-36
Neighboring Townships:
Arnold, Hayes, Kilfoil, Triumph, Victoria
Nearby Precincts:
Dunning, Logan
Nearby Townships:
Broken Bow, Custer, Delight, Elim, Garfield, Milburn, Ryno