Educational Attainment in the Monroe Township, Platte County, Nebraska (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Platte County and the Monroe Township
Monroe Township
Platte County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma214.166667%33.601165%14.166667%14.2%1775.000000%55.422423%75.000000%75.0%9010.833333%10.976412%10.833333%10.8%13
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 Platte County at large.
Scope: population of Platte County and the Monroe Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-57.838764%-57.838764%-57.8%14.167%14.2%33.601%33.6%35.324290%35.324290%+35.3%75.000%75.0%55.422%55.4%-1.303510%-1.303510%-1.3%10.833%10.8%10.976%11.0%
% percentage with given level in the Monroe Township
ref. percentage with given level in Platte 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 Platte County and the Monroe Township
Monroe Township
Platte County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.780002%00.000000%0.000000%0.0%1.287473%00.000000%0.000000%0.0%4.698807%05.833333%14.627385%5.833333%5.8%78.333333%12.207499%8.333333%8.3%1040.000000%24.194155%40.000000%40.0%4835.000000%31.228268%35.000000%35.0%4210.833333%5.605676%10.833333%10.8%130.000000%0.000000%0.0%4.322902%00.000000%0.000000%0.0%1.047834%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 Platte County at large.
Scope: population of Platte County and the Monroe 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%0.780%0.78%-100.000000%-100.000000%-100.0%0.000%0%1.287%1.29%-100.000000%-100.000000%-100.0%0.000%0%4.699%4.70%-60.120463%-60.120463%-60.1%5.833%5.83%14.627%14.6%-31.735951%-31.735951%-31.7%8.333%8.33%12.207%12.2%65.329190%65.329190%+65.3%40.000%40.0%24.194%24.2%12.077942%12.077942%+12.1%35.000%35.0%31.228%31.2%93.256496%93.256496%+93.3%10.833%10.8%5.606%5.61%-100.000000%-100.000000%-100.0%0.000%0%4.323%4.32%-100.000000%-100.000000%-100.0%0.000%0%1.048%1.05%
% percentage with given level in the Monroe Township
ref. percentage with given level in Platte 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 Platte County and the Monroe Township
More Females More Males
Platte County
Monroe Township
0%500%1,000%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.785714%-1.785714%2%2.717953%14.286%14.3%14.035%14.0%-35.714286%-7.361352%-35.714286%36%85.714%85.7%63.158%63.2%1,000.000000%32.047384%1,000.000000%> 1000%0.000%0%22.807%22.8%
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 Platte County and the Monroe Township
More Females More Males
Platte County
Monroe Township
0%500%1,000%FMBachelor's1Associate's1Some CollegeHigh School2Some H.S.3-20.634921%-20.634921%21%10.456945%6.349%6.35%5.263%5.26%10.526316%0.909892%10.526316%11%7.937%7.94%8.772%8.77%-119.727891%-5.084632%-119.727891%120%53.968%54.0%24.561%24.6%-9.160428%21.578947%21.578947%22%31.746%31.7%38.596%38.6%1,000.000000%54.990657%1,000.000000%> 1000%0.000%0%22.807%22.8%
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 Platte County and the Monroe Township
Monroe Township
Platte County
0%5%10%15%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%11.067886%02510.294118%14.957315%10.294118%10.3%7680.000000%0.000000%0.0%15.105983%0210.000000%0.000000%0.0%18.172405%06
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 Platte County at large.
Scope: population of Platte County and the Monroe Township
100%80%60%40%20%0%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%11.068%11.1%-31.176701%-31.176701%31.2%10.294%10.3%14.957%15.0%-100.000000%-100.000000%100.0%0.000%0%15.106%15.1%-100.000000%-100.000000%100.0%0.000%0%18.172%18.2%
% percentage in the Monroe Township with a Bachelor's degree
ref percentage in Platte 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 Platte County and the Monroe Township
More Females More Males
Platte County
Monroe Township
0%5%10%15%20%25%FM45-6413.888889%25.504434%13.888889%13.9%9.756%9.76%11.111%11.1%
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 Platte County and the Monroe Township
Monroe Township
Platte County
$0k$10k$20k$30kCount%Some CollegeH.S. Diploma2Total$24,688.000000$35,590.000000$24,688.000000$24.7k5848.333%48.3%$22,500.000000$30,740.000000$22,500.000000$22.5k4235.000%35.0%$24,474.000000$34,536.000000$24,474.000000$24.5k120100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Platte County and the Monroe Township
Female Male
Platte County
Monroe Township
Shaded bar tips show excess over facing bar.
$20k$10k$0k$10k$20k$30k$40kFMTotal$-23,092.000000$-27,125.000000$-23,092.000000$23.1k$23,092.000000$10,466.000000$27,125.000000$14,424.000000$33,558.000000$33.6k6357
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Platte County and the Monroe Township
Monroe Township
Platte County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma342.857143%89.759524%42.857143%42.9%388.461538%87.562735%88.461538%88.5%46100.000000%79.282869%100.000000%100.0%23100.000000%76.131953%100.000000%100.0%13
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Platte County and the Monroe Township
Female Male
Platte County
Monroe Township
Shaded bar tips show excess over facing bar.
5%0%5%10%15%20%MFWhite1-0.000000%-6.112417%0.000000%0.0%0.000000%22.807018%6.112417%1.710976%22.807018%22.8%130
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Platte County and the Monroe Township
Female Male
Platte County
Monroe Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1-5.263158%-1.086048%-21.521693%-6.349206%6.3%5.263158%21.521693%1.859961%5.263158%5.3%34
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 Columbus Area

There are 20 county subdivisions in the Columbus Area. This section compares the Monroe Township to all of the county subdivisions in the Columbus Area and to those entities that contain or substantially overlap with the Monroe Township.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in the Columbus Area, and entities that contain the Monroe Township
0%5%10%Count#Columbus TownshipColumbusUnited States of AmericaUnited StatesSt. Bernard TownshipSt. BernardColumbusOconee TownshipOconeeColumbus Metro AreaColumbus AreaPlatte CountyPlatteMonroe TownshipMonroeMidwestHumphrey TownshipHumphreyNebraskaWest North CentralBurrows TownshipBurrowsWoodville TownshipWoodvilleShell Creek TownshipShell CrkLost Creek TownshipLost Crk965298Tract 965298Butler TownshipButlerGranville TownshipGranvilleCreston TownshipCrestonBismark TownshipBismarkGrand Prairie TownshipGrand PrairieWalker TownshipWalkerSherman TownshipShermanJoliet TownshipJolietLoup TownshipNewman Grove13.354199%13.354199%13.4%256113.020590%13.020590%13.0%27,818,38027.8M12.953368%12.953368%13.0%50212.234261%12.234261%12.2%1,784312.121212%12.121212%12.1%48410.976412%10.976412%11.0%2,33610.976412%10.976412%11.0%2,33610.833333%10.833333%10.8%13510.244520%10.244520%10.2%4,641,8354.64M9.943182%9.943182%9.9%3569.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M8.904110%8.904110%8.9%1377.894737%7.894737%7.9%986.826568%6.826568%6.8%3796.299213%6.299213%6.3%16105.671245%5.671245%5.7%1285.545617%5.545617%5.5%31114.841150%4.841150%4.8%32123.858521%3.858521%3.9%12130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%020
Count number of people in category
# rank of county subdivision out of 20 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the Columbus Area, and entities that contain the Monroe Township
0%10%20%30%Count#Columbus TownshipColumbusUnited States of AmericaUnited StatesWest North CentralNebraskaMidwestGrand Prairie TownshipGrand PrairieBismark TownshipBismarkColumbusButler TownshipButler965298Tract 965298Columbus Metro AreaColumbus AreaPlatte CountyPlatteShell Creek TownshipShell CrkCreston TownshipCrestonWalker TownshipWalkerLost Creek TownshipLost CrkGranville TownshipGranvilleHumphrey TownshipHumphreyOconee TownshipOconeeSherman TownshipShermanSt. Bernard TownshipSt. BernardBurrows TownshipBurrowsMonroe TownshipMonroeWoodville TownshipWoodvilleJoliet TownshipJolietLoup TownshipNewman Grove32.446531%32.446531%32.4%622130.315023%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%13,118,64213.1M28.643216%28.643216%28.6%57228.484848%28.484848%28.5%94322.123166%22.123166%22.1%3,226422.003578%22.003578%22.0%123521.444395%21.444395%21.4%48421.393666%21.393666%21.4%4,55321.393666%21.393666%21.4%4,55319.741697%19.741697%19.7%107613.504823%13.504823%13.5%42713.245033%13.245033%13.2%20812.992126%12.992126%13.0%33912.254160%12.254160%12.3%81109.943182%9.943182%9.9%35119.848485%9.848485%9.8%39129.459459%9.459459%9.5%14139.326425%9.326425%9.3%36148.904110%8.904110%8.9%13155.833333%5.833333%5.8%7163.508772%3.508772%3.5%4170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%020
Count number of people in category
# rank of county subdivision out of 20 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Township, selected other county subdivisions in the Columbus Area, and entities that contain the Monroe Township
0%1%2%3%4%5%Count#Columbus TownshipColumbusOconee TownshipOconeeLost Creek TownshipLost CrkShell Creek TownshipShell CrkUnited States of AmericaUnited StatesWest North CentralNebraskaMidwestColumbus Metro AreaColumbus AreaPlatte CountyPlatteColumbusWalker TownshipWalker965298Tract 965298St. Bernard TownshipSt. BernardGranville TownshipGranvilleButler TownshipButlerHumphrey TownshipHumphreyBismark TownshipBismarkCreston TownshipCrestonGrand Prairie TownshipGrand PrairieBurrows TownshipBurrowsSherman TownshipShermanWoodville TownshipWoodvilleMonroe TownshipMonroeJoliet TownshipJolietLoup TownshipNewman Grove5.320814%5.320814%5.3%10213.787879%3.787879%3.8%1523.543307%3.543307%3.5%933.505535%3.505535%3.5%1943.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.935920%2.935920%2.9%35,91335.9k2.893416%2.893416%2.9%1,311,0191.31M2.067475%2.067475%2.1%4402.067475%2.067475%2.1%4401.988753%1.988753%2.0%29051.986755%1.986755%2.0%361.772264%1.772264%1.8%400.518135%0.518135%0.5%270.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%020
Count number of people in category
# rank of county subdivision out of 20 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monroe Township, selected other county subdivisions in the Columbus Area, and entities that contain the Monroe Township
Female
Male
10x5x0x5x10xFM#MonroeSt. BernardLost CrkColumbusColumbusCrestonColumbus AreaPlatteNebraskaWest North CentralMidwestUnited StatesTract 965298BurrowsHumphreyGranvilleOconeeButlerShell CrkWoodville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%22.807%22.8%1-1.000000x-1.000000x2.681818x2.681818x2.68x6.780%6.78%18.182%18.2%2-1.000000x-1.000000x2.131783x2.131783x2.13x4.000%4.00%8.527%8.53%3-1.000000x-1.000000x1.610366x1.610366x1.61x10.151%10.2%16.347%16.3%4-1.000000x-1.000000x1.400294x1.400294x1.40x10.219%10.2%14.310%14.3%5-1.000000x-1.000000x1.373248x1.373248x1.37x3.247%3.25%4.459%4.46%6-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.192061x-1.192061x1.19x1.000000x1.000000x6.182%6.18%5.186%5.19%-1.301932x-1.301932x1.30x1.000000x1.000000x10.145%10.1%7.792%7.79%7-1.853480x-1.853480x1.85x1.000000x1.000000x13.095%13.1%7.065%7.07%8-1.926499x-1.926499x1.93x1.000000x1.000000x6.383%6.38%3.313%3.31%9-2.125000x-2.125000x2.13x1.000000x1.000000x16.667%16.7%7.843%7.84%10-2.231734x-2.231734x2.23x1.000000x1.000000x7.749%7.75%3.472%3.47%11-2.243919x-2.243919x2.24x1.000000x1.000000x9.122%9.12%4.065%4.07%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x17.308%17.3%0.000%0%13
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 13 by male-to-female sex ratio

Educational Attainment by County Subdivision in Nebraska

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

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 Monroe Township, selected other county subdivisions in Nebraska, and entities that contain the Monroe Township
0%10%20%30%40%Count#SchuylerLexingtonSouth Sioux CityS Sioux CityCreteGrand IslandScottsbluffFairburyFremontUnited States of AmericaUnited StatesBeatriceColumbusOmahaCozadColumbus Metro AreaColumbus AreaPlatte CountyPlatteMonroe TownshipMonroeNorfolkNebraska CityDouglas PrecinctDouglasHastingsMidwestBuffalo Precinct 1010North Platte PrecinctN PlatteNebraskaWest North CentralWahooOgallalaEleven PrecinctElevenFalls CityPlattsmouthBellevue PrecinctBellevueGeringLincolnSidneySewardMcCookYorkPapillion Second II PrecinctPapillion 2nd II965298Tract 965298La Vista PrecinctLa VisBlairHamilton Precinct 44Union PrecinctUnionPapillion PrecinctPapillionBuffalo 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%3221210.976412%10.976412%11.0%2,33610.976412%10.976412%11.0%2,33610.833333%10.833333%10.8%1310.713358%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%240227.596751%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%174315.671245%5.671245%5.7%1285.315850%5.315850%5.3%600325.007391%5.007391%5.0%271334.996481%4.996481%5.0%142344.941076%4.941076%4.9%348353.926781%3.926781%3.9%517363.202135%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#20

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in Nebraska, and entities that contain the Monroe Township
0%20%40%60%Count#Chicago PrecinctChicagoBellevue Second II PrecinctBellevue 2nd IIPapillion Second I PrecinctPapillion 2nd IJefferson PrecinctJeffersonBellevue Second III PrecinctBellevue 2nd IIIMcArdle 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 PrecinctBellevueWahooSidneyHastingsHamilton Precinct 44GeringOgallalaColumbus965298Tract 965298Columbus Metro AreaColumbus AreaPlatte CountyPlatteScottsbluffNorth Platte PrecinctN PlatteCozadFalls CityNorfolkFremontBeatriceMcCookNebraska CityGrand IslandBuffalo Precinct 1010Eleven PrecinctElevenPlattsmouthCreteSouth Sioux CityS Sioux CityFairburyLexingtonSchuylerMonroe TownshipMonroe60.613337%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%1,617553.756934%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%8112626.869062%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%3,2263221.444395%21.444395%21.4%48421.393666%21.393666%21.4%4,55321.393666%21.393666%21.4%4,55321.097446%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%258505.833333%5.833333%5.8%7
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 Monroe Township, selected other county subdivisions in Nebraska, and entities that contain the Monroe 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 StatesYorkWest North CentralNebraskaMidwestUnion PrecinctUnionOgallalaPapillion PrecinctPapillionBellevue Second III PrecinctBellevue 2nd IIILa Vista PrecinctLa VisScottsbluffHastingsMcCookColumbus Metro AreaColumbus AreaPlatte CountyPlatteColumbusGering965298Tract 965298BeatriceBlairWahooDouglas PrecinctDouglasGrand IslandNorfolkSidneyNorth Platte PrecinctN PlatteBellevue PrecinctBellevuePlattsmouthFairburyCreteFremontLexingtonHamilton Precinct 44Eleven PrecinctElevenCozadWaverly PrecinctWaverlySouth Sioux CityS Sioux CityNebraska CityBuffalo Precinct 1010Monroe TownshipMonroeSchuylerFalls 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%7,127,6737.13M3.121989%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%107252.067475%2.067475%2.1%4402.067475%2.067475%2.1%4401.988753%1.988753%2.0%290261.964602%1.964602%2.0%111271.772264%1.772264%1.8%401.696845%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%00.000000%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#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 Monroe Township, selected other county subdivisions in Nebraska, and entities that contain the Monroe Township
Female
Male
10x5x0x5x10xFM#Monroe1FairburyCreteBlairPlattsmouthMcArdle47JeffersonMelia-Frst CityNorfolkColumbusFalls CityGrand IslandGeringColumbus AreaPlattePapillion 2nd IScottsbluffBellevue 2nd ILincolnOmahaHastingsSchuylerChicagoNebraskaOgallalaUnion10West North CentralWahooMidwestUnited StatesCozadSewardLexingtonBeatriceFremontN PlatteDouglasMcCookRichland VIIIElevenTract 965298BellevueSidneyS Sioux CityPapillionPapillion 2nd IILa VisNebraska CityRichland VIIYorkBellevue 2nd IIIWaverlyMillardBellevue 2nd II-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%22.807%22.8%-1.000000x-1.000000x2.962111x2.962111x2.96x1.291%1.29%3.824%3.82%1-1.000000x-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-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-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%37-1.192061x-1.192061x1.19x1.000000x1.000000x6.182%6.18%5.186%5.19%-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

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Monroe Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#23

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe 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 TownshipMaineTopekaColumbus Metro AreaColumbus AreaPlatte CountyPlatteMinneapolisMonroe TownshipMonroeSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsNebraskaWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar Rapids965298Tract 965298York TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%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%9,3772910.976412%10.976412%11.0%2,33610.976412%10.976412%11.0%2,33610.958428%10.958428%11.0%29,34729.3k3010.833333%10.833333%10.8%1310.767091%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%7,226387.092309%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%5,099435.671245%5.671245%5.7%1285.461095%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%2,05750
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#24

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralNebraskaMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockford965298Tract 965298Columbus Metro AreaColumbus AreaPlatte CountyPlatteAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroitMonroe TownshipMonroe72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%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%71,75771.8k3027.532180%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%25,23525.2k3721.444395%21.444395%21.4%48421.393666%21.393666%21.4%4,55321.393666%21.393666%21.4%4,55320.213821%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%59,72359.7k505.833333%5.833333%5.8%7
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#25

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 Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralNebraskaSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleColumbus Metro AreaColumbus AreaPlatte CountyPlatteRockford TownshipRockfordMilwaukeeWorth TownshipWorthCleveland965298Tract 965298ToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonMonroe TownshipMonroe17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%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%2,858342.113682%2.113682%2.1%1,628352.067475%2.067475%2.1%4402.067475%2.067475%2.1%4402.067272%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%4,911391.772264%1.772264%1.8%401.642065%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%971500.000000%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 with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#26

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 Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
Female
Male
0x5x10xFM#MonroeColumbus AreaPlatteCedar RapidsLincolnDetroitOmahaToledoThorntonNebraskaKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvTract 965298MiltonMaine-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%22.807%22.8%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-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%48-1.192061x-1.192061x1.19x1.000000x1.000000x6.182%6.18%5.186%5.19%-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

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Monroe Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#27

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe 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, CharlotteColumbusTulsaColumbus Metro AreaColumbus AreaPlatte CountyPlatteMonroe TownshipMonroeSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaNebraskaWest North CentralSeattleNortheast TarrantNE TarrantPlano965298Tract 965298Seattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%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%43,65343.7k4110.976412%10.976412%11.0%2,33610.976412%10.976412%11.0%2,33610.833333%10.833333%10.8%1310.435356%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%31,44331.4k485.714681%5.714681%5.7%20,64420.6k495.671245%5.671245%5.7%1284.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#28

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralNebraskaBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas Vegas965298Tract 965298Columbus Metro AreaColumbus AreaPlatte CountyPlatteEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitMonroe TownshipMonroe60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%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%209,283209k3627.276345%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%271,037271k4521.444395%21.444395%21.4%48421.393666%21.393666%21.4%4,55321.393666%21.393666%21.4%4,55321.071885%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%59,72359.7k505.833333%5.833333%5.8%7
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#29

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 Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe 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 StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralNebraskaMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasColumbus Metro AreaColumbus AreaPlatte CountyPlatteMilwaukeeSan BernardinoSan Antonio CentralSan Antonio Cntrl965298Tract 965298El PasoSouthwest DallasSW DallasBronxDetroitMonroe TownshipMonroe12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%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%26,91426.9k432.067475%2.067475%2.1%4402.067475%2.067475%2.1%4402.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.772264%1.772264%1.8%401.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693500.000000%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 with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#30

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 Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
Female
Male
0x5x10xFM#MonroeColumbus AreaPlatte1, 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 DiegoTract 965298San FranciscoEl Paso-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%22.807%22.8%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-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%48-1.192061x-1.192061x1.19x1.000000x1.000000x6.182%6.18%5.186%5.19%-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

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:
Platte
Metro Area:
Columbus Area
ZIP Codes:
68640, 68647
Unified School Districts:
Lakeview, Twin Rivers
Congressional District:
NE-1
State Senate District:
NE-22
Neighboring Townships:
Beaver, Burrows, Joliet, Lost Creek, Oconee, Woodville
Nearby Townships:
Butler, Genoa, Grand Prairie, Granville, Loup, Prairie Creek, Shell Creek, St. Bernard, Walker