Educational Attainment in Hanska, Brown County, Minnesota (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Brown County and Hanska
Hanska
Brown County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma222.426471%31.577432%22.426471%22.4%6170.955882%59.556707%70.955882%71.0%1936.617647%8.865861%6.617647%6.6%18
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 Brown County at large.
Scope: population of Brown County and Hanska
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-28.979436%-28.979436%-29.0%22.426%22.4%31.577%31.6%19.140036%19.140036%+19.1%70.956%71.0%59.557%59.6%-25.358098%-25.358098%-25.4%6.618%6.62%8.866%8.87%
% percentage with given level in Hanska
ref. percentage with given level in Brown 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 Brown County and Hanska
Hanska
Brown County
0%10%20%30%40%50%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.765688%00.000000%0.000000%0.0%1.393207%04.044118%3.390904%4.044118%4.0%116.250000%15.342545%6.250000%6.3%1712.132353%10.685089%12.132353%12.1%3318.014706%21.755901%18.014706%18.0%4952.941176%37.800806%52.941176%52.9%1445.882353%4.899252%5.882353%5.9%160.735294%3.402418%0.735294%0.7%20.000000%0.000000%0.0%0.564191%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 Brown County at large.
Scope: population of Brown County and Hanska
-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%0.766%0.77%-100.000000%-100.000000%-100.0%0.000%0%1.393%1.39%19.263707%19.263707%+19.3%4.044%4.04%3.391%3.39%-59.263602%-59.263602%-59.3%6.250%6.25%15.343%15.3%13.544704%13.544704%+13.5%12.132%12.1%10.685%10.7%-17.196231%-17.196231%-17.2%18.015%18.0%21.756%21.8%40.053036%40.053036%+40.1%52.941%52.9%37.801%37.8%20.066358%20.066358%+20.1%5.882%5.88%4.899%4.90%-78.389071%-78.389071%-78.4%0.735%0.74%3.402%3.40%-100.000000%-100.000000%-100.0%0.000%0%0.564%0.56%
% percentage with given level in Hanska
ref. percentage with given level in Brown 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 Brown County and Hanska
More Females More Males
Brown County
Hanska
0%100%200%300%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-40.688259%-40.688259%41%1.207197%26.316%26.3%18.705%18.7%-1.311953%-1.311953%1%0.325258%71.429%71.4%70.504%70.5%-6.677859%378.417266%378.417266%378%2.256%2.26%10.791%10.8%
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 Brown County and Hanska
More Females More Males
Brown County
Hanska
0%500%1,000%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.367.446043%21.778175%67.446043%67%3.008%3.01%5.036%5.04%-150.827068%-11.308757%-150.827068%151%9.023%9.02%3.597%3.60%-41.836735%-4.251161%-41.836735%42%14.286%14.3%10.072%10.1%-51.541353%-51.541353%52%1.697168%21.805%21.8%14.388%14.4%-0.458233%13.080445%13.080445%13%49.624%49.6%56.115%56.1%314.628297%6.176924%314.628297%315%2.256%2.26%9.353%9.35%-45.049967%1,000.000000%1,000.000000%> 1000%0.000%0%1.439%1.44%
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 Brown County and Hanska
Hanska
Brown County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-347.272727%7.894737%7.272727%7.3%4554.672897%15.388975%4.672897%4.7%510710.204082%19.349659%10.204082%10.2%5494.918033%25.216763%4.918033%4.9%361
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 Brown County at large.
Scope: population of Brown County and Hanska
80%60%40%20%0%%ref.65+45-6435-4425-34-7.878788%-7.878788%7.9%7.273%7.27%7.895%7.89%-69.634774%-69.634774%69.6%4.673%4.67%15.389%15.4%-47.264798%-47.264798%47.3%10.204%10.2%19.350%19.3%-80.496970%-80.496970%80.5%4.918%4.92%25.217%25.2%
% percentage in Hanska with a Bachelor's degree
ref percentage in Brown 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 Brown County and Hanska
More Females More Males
Brown County
Hanska
1,000%500%0%FM65+45-6435-4425-34-1,000.000000%-1,000.000000%> 1000%34.360390%13.333%13.3%0.000%0%-25.223779%17.500000%17.500000%17.5%4.255%4.26%5.000%5.00%-316.666667%-36.959755%-316.666667%316.7%16.667%16.7%4.000%4.00%-81.250000%-18.994861%-81.250000%81.3%6.250%6.25%3.448%3.45%
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 Brown County and Hanska
Hanska
Brown County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$47,813.000000$52,008.000000$47,813.000000$47.8k114.044%4.04%$61,250.000000$41,794.000000$61,250.000000$61.3k176.250%6.25%$29,688.000000$35,369.000000$29,688.000000$29.7k8230.147%30.1%$30,000.000000$29,565.000000$30,000.000000$30.0k14452.941%52.9%$27,083.000000$20,904.000000$27,083.000000$27.1k186.618%6.62%$30,694.000000$35,118.000000$30,694.000000$30.7k272100.000%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 Brown County and Hanska
Female Male
Brown County
Hanska
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeH.S. Diploma2Total$-26,406.000000$-26,029.000000$-26,406.000000$26.4k$26,406.000000$18,282.000000$26,029.000000$19,605.000000$44,688.000000$44.7k4834$-16,875.000000$-22,468.000000$-16,875.000000$16.9k$16,875.000000$15,125.000000$22,468.000000$13,611.000000$32,000.000000$32.0k6678$-26,397.000000$-26,873.000000$-26,397.000000$26.4k$26,397.000000$11,728.000000$26,873.000000$15,105.000000$38,125.000000$38.1k133139
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

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Brown County and Hanska
Hanska
Brown County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.000000%0.0%0100.000000%100.000000%100.000000%100.0%20.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Brown County and Hanska
Hanska
Brown County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma379.166667%88.244979%79.166667%79.2%1995.945946%89.133722%95.945946%95.9%7185.981308%82.008266%85.981308%86.0%9266.666667%71.135940%66.666667%66.7%8
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#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Brown County and Hanska
Female Male
Brown County
Hanska
Shaded bar tips show excess over facing bar.
5%0%5%10%MFWhite1-2.255639%-8.234860%-0.299743%-2.255639%2.3%2.255639%8.855472%8.234860%11.111111%11.1%153
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Brown County and Hanska
Female Male
Brown County
Hanska
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1-8.888889%-3.141186%-20.575941%-12.030075%12.0%8.888889%20.575941%1.334448%8.888889%8.9%1216
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 New Ulm Area

There are 23 county subdivisions in the New Ulm Area. This section compares Hanska to all of the county subdivisions in the New Ulm Area and to those entities that contain or substantially overlap with Hanska.

No H.S. Diploma by County Subdivision#16

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Hanska, selected other county subdivisions in the New Ulm Area, and entities that contain Hanska
0%5%10%15%20%25%Count#CobdenEvanSleepy EyeSpringfieldStately TownshipStatelyUnited States of AmericaUnited StatesMidwestComfreyLinden TownshipLindenWest North CentralNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownMulligan TownshipMulliganSigel TownshipSigelNew UlmLeavenworth TownshipLeavenworthCottonwood TownshipCottonwoodNew Ulm Public School DistrictNew UlmMinnesota960700Tract 960700Albin TownshipAlbinHanskaHanskaEden TownshipStark TownshipStarkBashaw TownshipBashawZIP Code 56041ZIP 56041Home TownshipPrairieville TownshipPrairievilleBurnstown TownshipBurnstownLake Hanska TownshipLk HanskaNorth Star TownshipN StarMilford TownshipMilford26.666667%26.666667%26.7%4117.777778%17.777778%17.8%8213.806452%13.806452%13.8%321313.347609%13.347609%13.3%187413.286713%13.286713%13.3%19513.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M10.041841%10.041841%10.0%2469.803922%9.803922%9.8%2079.174633%9.174633%9.2%1,278,0511.28M8.865861%8.865861%8.9%1,5408.865861%8.865861%8.9%1,5408.275862%8.275862%8.3%1288.108108%8.108108%8.1%2798.022346%8.022346%8.0%718107.657658%7.657658%7.7%17117.491289%7.491289%7.5%43127.404036%7.404036%7.4%9767.376055%7.376055%7.4%270,121270k7.142857%7.142857%7.1%1756.837607%6.837607%6.8%16136.617647%6.617647%6.6%186.617647%6.617647%6.6%18146.315789%6.315789%6.3%12156.024096%6.024096%6.0%15165.882353%5.882353%5.9%11175.858311%5.858311%5.9%435.851064%5.851064%5.9%22184.938272%4.938272%4.9%8194.575163%4.575163%4.6%7203.809524%3.809524%3.8%8213.208556%3.208556%3.2%6223.068592%3.068592%3.1%1723
Count number of people in category
# rank of county subdivision out of 23 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#17

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Hanska, selected other county subdivisions in the New Ulm Area, and entities that contain Hanska
0%10%20%30%Count#MinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestLake Hanska TownshipLk HanskaNew UlmNew Ulm Public School DistrictNew UlmSleepy EyeMilford TownshipMilfordComfreyNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownEvanBashaw TownshipBashawHome TownshipBurnstown TownshipBurnstownLinden TownshipLindenEden TownshipZIP Code 56041ZIP 56041North Star TownshipN StarCottonwood TownshipCottonwoodAlbin TownshipAlbinStark TownshipStark960700Tract 960700SpringfieldCobdenStately TownshipStatelyHanskaHanskaMulligan TownshipMulliganPrairieville TownshipPrairievilleLeavenworth TownshipLeavenworthSigel TownshipSigel34.240609%34.240609%34.2%1,253,9371.25M30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M24.761905%24.761905%24.8%52124.357542%24.357542%24.4%2,180222.659687%22.659687%22.7%2,98722.494624%22.494624%22.5%523322.021661%22.021661%22.0%122421.757322%21.757322%21.8%52520.892343%20.892343%20.9%3,62920.892343%20.892343%20.9%3,62920.000000%20.000000%20.0%9619.786096%19.786096%19.8%37717.819149%17.819149%17.8%67817.647059%17.647059%17.6%27917.156863%17.156863%17.2%351016.842105%16.842105%16.8%321116.348774%16.348774%16.3%12015.508021%15.508021%15.5%291214.808362%14.808362%14.8%851314.529915%14.529915%14.5%341414.457831%14.457831%14.5%361513.918367%13.918367%13.9%34113.490364%13.490364%13.5%1891613.333333%13.333333%13.3%21712.587413%12.587413%12.6%181810.294118%10.294118%10.3%2810.294118%10.294118%10.3%28199.655172%9.655172%9.7%14209.259259%9.259259%9.3%15218.558559%8.558559%8.6%19227.207207%7.207207%7.2%2423
Count number of people in category
# rank of county subdivision out of 23 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#18

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Hanska, selected other county subdivisions in the New Ulm Area, and entities that contain Hanska
0%1%2%3%4%Count#Burnstown TownshipBurnstownEvanSleepy EyeMinnesotaUnited States of AmericaUnited StatesWest North CentralMidwestNew UlmNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownNew Ulm Public School DistrictNew UlmSpringfieldNorth Star TownshipN StarHome TownshipMilford TownshipMilfordAlbin TownshipAlbinComfreyStately TownshipStatelyLinden TownshipLindenLeavenworth TownshipLeavenworthZIP Code 56041ZIP 56041Stark TownshipStarkCottonwood TownshipCottonwoodSigel TownshipSigel960700Tract 960700HanskaHanskaBashaw TownshipBashawLake Hanska TownshipLk HanskaEden TownshipPrairieville TownshipPrairievilleMulligan TownshipMulliganCobden4.575163%4.575163%4.6%714.444444%4.444444%4.4%224.258065%4.258065%4.3%9933.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.391061%2.391061%2.4%21442.158895%2.158895%2.2%3752.158895%2.158895%2.2%3751.926870%1.926870%1.9%2541.855817%1.855817%1.9%2651.604278%1.604278%1.6%361.595745%1.595745%1.6%671.263538%1.263538%1.3%780.854701%0.854701%0.9%290.836820%0.836820%0.8%2100.699301%0.699301%0.7%1110.490196%0.490196%0.5%1120.450450%0.450450%0.5%1130.408719%0.408719%0.4%30.401606%0.401606%0.4%1140.348432%0.348432%0.3%2150.300300%0.300300%0.3%1160.285714%0.285714%0.3%70.000000%0.000000%0.0%00.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%023
Count number of people in category
# rank of county subdivision out of 23 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#19

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 Hanska, selected other county subdivisions in the New Ulm Area, and entities that contain Hanska
Female
Male
10x5x0x5xFM#StatelyHanskaHanskaMilfordLeavenworthBurnstownZIP 56041Eden TownshipAlbinHome TownshipN StarLindenTract 960700SigelCottonwoodStarkWest North CentralMinnesotaMidwestBashawNew UlmUnited StatesSpringfieldNew UlmNew Ulm AreaBrownLk HanskaEvanComfreySleepy EyePrairievilleMulliganCobden-1.000000x-1.000000x6.886076x6.886076x6.89x3.125%3.13%21.519%21.5%1-1.000000x-1.000000x4.784173x4.784173x4.78x2.256%2.26%10.791%10.8%-1.000000x-1.000000x4.784173x4.784173x4.78x2.256%2.26%10.791%10.8%2-1.000000x-1.000000x4.700483x4.700483x4.70x1.079%1.08%5.072%5.07%3-1.000000x-1.000000x3.302564x3.302564x3.30x3.261%3.26%10.769%10.8%4-1.000000x-1.000000x2.600000x2.600000x2.60x2.564%2.56%6.667%6.67%5-1.000000x-1.000000x2.341775x2.341775x2.34x3.438%3.44%8.052%8.05%-1.000000x-1.000000x1.958333x1.958333x1.96x4.255%4.26%8.333%8.33%6-1.000000x-1.000000x1.878788x1.878788x1.88x4.839%4.84%9.091%9.09%7-1.000000x-1.000000x1.826179x1.826179x1.83x4.046%4.05%7.389%7.39%8-1.000000x-1.000000x1.816327x1.816327x1.82x2.247%2.25%4.082%4.08%9-1.000000x-1.000000x1.587013x1.587013x1.59x7.447%7.45%11.818%11.8%10-1.000000x-1.000000x1.572410x1.572410x1.57x5.494%5.49%8.638%8.64%-1.000000x-1.000000x1.361522x1.361522x1.36x6.832%6.83%9.302%9.30%11-1.000000x-1.000000x1.233553x1.233553x1.23x6.667%6.67%8.224%8.22%12-1.000000x-1.000000x1.148936x1.148936x1.15x5.556%5.56%6.383%6.38%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.113402x1.113402x1.11x5.556%5.56%6.186%6.19%14-1.000000x-1.000000x1.109804x1.109804x1.11x7.021%7.02%7.792%7.79%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.011264x1.011264x1.01x13.283%13.3%13.433%13.4%15-1.031327x-1.031327x1.03x1.000000x1.000000x8.142%8.14%7.895%7.89%16-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%-1.079208x-1.079208x1.08x1.000000x1.000000x3.960%3.96%3.670%3.67%17-1.217949x-1.217949x1.22x1.000000x1.000000x19.231%19.2%15.789%15.8%18-1.298387x-1.298387x1.30x1.000000x1.000000x11.290%11.3%8.696%8.70%19-1.684928x-1.684928x1.68x1.000000x1.000000x16.929%16.9%10.047%10.0%20-1.794872x-1.794872x1.79x1.000000x1.000000x6.410%6.41%3.571%3.57%21-3.904762x-3.904762x3.90x1.000000x1.000000x14.286%14.3%3.659%3.66%22-10.000000x-10.000000x> 10.0x1.000000x1.000000x44.444%44.4%0.000%0%23
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 23 by male-to-female sex ratio

Educational Attainment by County Subdivision in Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares Hanska to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with Hanska. The least populous of the compared county subdivisions has a population of 22,226.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Hanska, selected other county subdivisions in Minnesota, and entities that contain Hanska
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalNew Ulm Public School DistrictNew UlmMinnesotaOwatonna960700Tract 960700Coon RapidsRosevilleHanskaHanskaDuluthRochesterBurnsvilleHastingsZIP Code 56041ZIP 56041MankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.174633%9.174633%9.2%1,278,0511.28M8.865861%8.865861%8.9%1,5408.865861%8.865861%8.9%1,5407.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.404036%7.404036%7.4%9767.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.142857%7.142857%7.1%1757.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.617647%6.617647%6.6%186.617647%6.617647%6.6%186.456536%6.456536%6.5%3,427196.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952225.858311%5.858311%5.9%435.855251%5.855251%5.9%1,220235.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Hanska, selected other county subdivisions in Minnesota, and entities that contain Hanska
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyCoon RapidsNew Ulm Public School DistrictNew UlmAustinNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownBrooklyn CenterBrooklyn CtrFaribaultZIP Code 56041ZIP 56041960700Tract 960700HanskaHanska68.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k754.601451%54.601451%54.6%10,46010.5k850.665018%50.665018%50.7%23,35123.4k950.398824%50.398824%50.4%22,62022.6k1048.278766%48.278766%48.3%18,34418.3k1147.670489%47.670489%47.7%127,663128k1247.267635%47.267635%47.3%7,2571346.445382%46.445382%46.4%11,44611.4k1445.472261%45.472261%45.5%7,4671544.248557%44.248557%44.2%7,1281644.076986%44.076986%44.1%6,5041743.718250%43.718250%43.7%32,70332.7k1843.384056%43.384056%43.4%14,79714.8k1943.102990%43.102990%43.1%8,1152040.791530%40.791530%40.8%25,58225.6k2139.969357%39.969357%40.0%74,08874.1k2238.511617%38.511617%38.5%15,91315.9k2337.561317%37.561317%37.6%5,8962437.153999%37.153999%37.2%8,7652536.544602%36.544602%36.5%9,2712636.468898%36.468898%36.5%8,8822736.144174%36.144174%36.1%7,5312835.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4129.150757%29.150757%29.2%8,8564228.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534328.059816%28.059816%28.1%4,3724427.682104%27.682104%27.7%4,7584527.190136%27.190136%27.2%5,0284625.993543%25.993543%26.0%11,19111.2k4722.659687%22.659687%22.7%2,98721.410083%21.410083%21.4%3,4744820.892343%20.892343%20.9%3,62920.892343%20.892343%20.9%3,62920.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,0115016.348774%16.348774%16.3%12013.918367%13.918367%13.9%34110.294118%10.294118%10.3%2810.294118%10.294118%10.3%28
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Hanska, selected other county subdivisions in Minnesota, and entities that contain Hanska
0%2%4%6%8%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvillePrior LakeNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownRosemountFridleyShakopeeNew Ulm Public School DistrictNew UlmRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonElk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastingsZIP Code 56041ZIP 56041960700Tract 960700HanskaHanska11.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968232.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,009242.893416%2.893416%2.9%1,311,0191.31M2.884260%2.884260%2.9%468252.874170%2.874170%2.9%463262.692552%2.692552%2.7%466272.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.500485%2.500485%2.5%1,032302.405615%2.405615%2.4%994312.174045%2.174045%2.2%357322.158895%2.158895%2.2%3752.158895%2.158895%2.2%3752.134725%2.134725%2.1%315332.103612%2.103612%2.1%389342.003695%2.003695%2.0%488351.926870%1.926870%1.9%2541.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.769443%1.769443%1.8%334381.727928%1.727928%1.7%283391.673021%1.673021%1.7%825401.653038%1.653038%1.7%376411.638270%1.638270%1.6%275421.605771%1.605771%1.6%276431.558854%1.558854%1.6%314441.510612%1.510612%1.5%242451.509134%1.509134%1.5%209461.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.408719%0.408719%0.4%30.285714%0.285714%0.3%70.000000%0.000000%0.0%00.000000%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#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Hanska, selected other county subdivisions in Minnesota, and entities that contain Hanska
Female
Male
0x2x4xFM#HanskaHanskaZIP 56041FarmingtonTract 960700RamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenNew UlmUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganNew Ulm AreaBrownMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x4.784173x4.784173x4.78x2.256%2.26%10.791%10.8%-1.000000x-1.000000x4.784173x4.784173x4.78x2.256%2.26%10.791%10.8%-1.000000x-1.000000x2.341775x2.341775x2.34x3.438%3.44%8.052%8.05%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.572410x1.572410x1.57x5.494%5.49%8.638%8.64%-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.151611x1.151611x1.15x15.625%15.6%17.994%18.0%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126917x1.126917x1.13x3.416%3.42%3.849%3.85%19-1.000000x-1.000000x1.122496x1.122496x1.12x2.180%2.18%2.448%2.45%20-1.000000x-1.000000x1.109804x1.109804x1.11x7.021%7.02%7.792%7.79%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101837x1.101837x1.10x2.962%2.96%3.263%3.26%21-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%22-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%23-1.000000x-1.000000x1.078552x1.078552x1.08x7.176%7.18%7.740%7.74%24-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%25-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%26-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%27-1.021534x-1.021534x1.02x1.000000x1.000000x7.996%8.00%7.828%7.83%28-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%29-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%30-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%31-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%32-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%33-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%36-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%37-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%38-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%41-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%42-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%43-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%44-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%45-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%46-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%47-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%48-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%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 Hanska to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Hanska. The least populous of the compared county subdivisions has a population of 112,821.

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 Hanska, selected other county subdivisions in the Midwest, and entities that contain Hanska
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 FallsWest North CentralNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgNew Ulm Public School DistrictNew UlmMinnesota960700Tract 960700LincolnWashington TownshipWashingtonHanskaHanskaOlatheFargoCedar RapidsZIP Code 56041ZIP 56041York 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%9,3772910.958428%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%9,123349.174633%9.174633%9.2%1,278,0511.28M8.865861%8.865861%8.9%1,5408.865861%8.865861%8.9%1,5408.623103%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%7,226387.404036%7.404036%7.4%9767.376055%7.376055%7.4%270,121270k7.142857%7.142857%7.1%1757.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.617647%6.617647%6.6%186.617647%6.617647%6.6%186.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.858311%5.858311%5.9%435.461095%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#25

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Hanska, selected other county subdivisions in the Midwest, and entities that contain Hanska
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeNew Ulm Public School DistrictNew UlmRockford TownshipRockfordNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneZIP Code 56041ZIP 56041Kansas CityClevelandAurora TownshipAuroraBlue Township960700Tract 960700DetroitHanskaHanska72.810169%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%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%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%4,186,9564.19M28.952816%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%85,81285.8k3622.659687%22.659687%22.7%2,98721.592552%21.592552%21.6%25,23525.2k3720.892343%20.892343%20.9%3,62920.892343%20.892343%20.9%3,62920.213821%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%14,78814.8k4516.348774%16.348774%16.3%12016.167409%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%16,95117.0k4913.918367%13.918367%13.9%34113.833543%13.833543%13.8%59,72359.7k5010.294118%10.294118%10.3%2810.294118%10.294118%10.3%28
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 Hanska, selected other county subdivisions in the Midwest, and entities that contain Hanska
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandNew Ulm Public School DistrictNew UlmToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonZIP Code 56041ZIP 56041960700Tract 960700HanskaHanska17.877867%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%2,782203.458748%3.458748%3.5%126,664127k3.407574%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%414,980415k2.911721%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%2,858342.158895%2.158895%2.2%3752.158895%2.158895%2.2%3752.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.926870%1.926870%1.9%2541.642065%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%971500.408719%0.408719%0.4%30.285714%0.285714%0.3%70.000000%0.000000%0.0%00.000000%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#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 Hanska, selected other county subdivisions in the Midwest, and entities that contain Hanska
Female
Male
1x0x1x2x3x4xFM#HanskaHanskaZIP 56041Tract 960700Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsNew UlmUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulNew Ulm AreaBrownLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x4.784173x4.784173x4.78x2.256%2.26%10.791%10.8%-1.000000x-1.000000x4.784173x4.784173x4.78x2.256%2.26%10.791%10.8%-1.000000x-1.000000x2.341775x2.341775x2.34x3.438%3.44%8.052%8.05%-1.000000x-1.000000x1.572410x1.572410x1.57x5.494%5.49%8.638%8.64%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-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-1.000000x1.109804x1.109804x1.11x7.021%7.02%7.792%7.79%-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%44-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%-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

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Hanska, selected other county subdivisions in the United States, and entities that contain Hanska
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 HarrisWashingtonAtlantaWest North CentralNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownSeattleNortheast TarrantNE TarrantNew Ulm Public School DistrictNew UlmMinnesota960700Tract 960700HanskaHanskaZIP Code 56041ZIP 56041PlanoSeattle 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%43,65343.7k4110.435356%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%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.865861%8.865861%8.9%1,5408.865861%8.865861%8.9%1,5408.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.404036%7.404036%7.4%9767.376055%7.376055%7.4%270,121270k7.142857%7.142857%7.1%1756.617647%6.617647%6.6%186.617647%6.617647%6.6%185.858311%5.858311%5.9%435.714681%5.714681%5.7%20,64420.6k494.913852%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Hanska, selected other county subdivisions in the United States, and entities that contain Hanska
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeNew Ulm Public School DistrictNew UlmFresnoLas VegasEl PasoNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownBronxSan BernardinoZIP Code 56041ZIP 56041San Antonio CentralSan Antonio Cntrl960700Tract 960700DetroitHanskaHanska60.434640%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%604,693605k1934.240609%34.240609%34.2%1,253,9371.25M34.081468%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%4,186,9564.19M29.719611%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%85,81285.8k4322.659687%22.659687%22.7%2,98722.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4620.892343%20.892343%20.9%3,62920.892343%20.892343%20.9%3,62919.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4816.348774%16.348774%16.3%12014.929012%14.929012%14.9%65,34165.3k4913.918367%13.918367%13.9%34113.833543%13.833543%13.8%59,72359.7k5010.294118%10.294118%10.3%2810.294118%10.294118%10.3%28
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Hanska, selected other county subdivisions in the United States, and entities that contain Hanska
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…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthNew Ulm Metro AreaNew Ulm AreaBrown CountyBrownLas VegasMilwaukeeNew Ulm Public School DistrictNew UlmSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitZIP Code 56041ZIP 56041960700Tract 960700HanskaHanska12.461852%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%15,21115.2k273.458748%3.458748%3.5%126,664127k3.384967%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%414,980415k2.893416%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%11,57311.6k422.158895%2.158895%2.2%3752.158895%2.158895%2.2%3752.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.926870%1.926870%1.9%2541.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693500.408719%0.408719%0.4%30.285714%0.285714%0.3%70.000000%0.000000%0.0%00.000000%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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Hanska, selected other county subdivisions in the United States, and entities that contain Hanska
Female
Male
0x2x4xFM#HanskaHanskaZIP 56041Tract 9607001, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeNew UlmUnited 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 EastNew Ulm AreaBrownSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x4.784173x4.784173x4.78x2.256%2.26%10.791%10.8%-1.000000x-1.000000x4.784173x4.784173x4.78x2.256%2.26%10.791%10.8%-1.000000x-1.000000x2.341775x2.341775x2.34x3.438%3.44%8.052%8.05%-1.000000x-1.000000x1.572410x1.572410x1.57x5.494%5.49%8.638%8.64%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-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-1.000000x1.109804x1.109804x1.11x7.021%7.02%7.792%7.79%-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%46-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%-1.066779x-1.066779x1.07x1.000000x1.000000x9.144%9.14%8.571%8.57%-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

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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Demographics

Income

Education

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State:
Minnesota
County:
Brown
Metro Area:
New Ulm Area
City:
Hanska
ZIP Code:
56041
Unified School District:
New Ulm
Congressional District:
MN-1
State Senate District:
MN-16
State House District:
MN-16B
Neighboring Townships:
Lake Hanska, Linden
Nearby Townships:
Albin, Butternut Valley, Cambria, Cottonwood, Madelia, Nelson, Riverdale, Sigel