Educational Attainment in the Kenesaw Township, Adams County, Nebraska (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Adams County and the Kenesaw Township
Kenesaw Township
Adams County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma230.232558%34.211304%30.232558%30.2%22160.738714%56.700473%60.738714%60.7%4449.028728%9.088224%9.028728%9.0%66
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 Adams County at large.
Scope: population of Adams County and the Kenesaw Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-11.629915%-11.629915%-11.6%30.233%30.2%34.211%34.2%7.122060%7.122060%+7.1%60.739%60.7%56.700%56.7%-0.654649%-0.654649%-0.7%9.029%9.03%9.088%9.09%
% percentage with given level in the Kenesaw Township
ref. percentage with given level in Adams 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 Adams County and the Kenesaw Township
Kenesaw Township
Adams County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.772942%00.410397%1.102796%0.410397%0.4%34.514364%6.193383%4.514364%4.5%3310.123119%14.493895%10.123119%10.1%7415.184679%11.648287%15.184679%15.2%11130.642955%24.940922%30.642955%30.6%22430.095759%31.759551%30.095759%30.1%2204.787962%4.662269%4.787962%4.8%353.283174%3.598858%3.283174%3.3%240.957592%0.827097%0.957592%1.0%7
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 Adams County at large.
Scope: population of Adams County and the Kenesaw 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%0.773%0.77%-62.785812%-62.785812%-62.8%0.410%0.41%1.103%1.10%-27.109889%-27.109889%-27.1%4.514%4.51%6.193%6.19%-30.155980%-30.155980%-30.2%10.123%10.1%14.494%14.5%30.359759%30.359759%+30.4%15.185%15.2%11.648%11.6%22.862159%22.862159%+22.9%30.643%30.6%24.941%24.9%-5.238713%-5.238713%-5.2%30.096%30.1%31.760%31.8%2.695964%2.695964%+2.7%4.788%4.79%4.662%4.66%-8.771785%-8.771785%-8.8%3.283%3.28%3.599%3.60%15.777474%15.777474%+15.8%0.958%0.96%0.827%0.83%
% percentage with given level in the Kenesaw Township
ref. percentage with given level in Adams 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 Adams County and the Kenesaw Township
More Females More Males
Adams County
Kenesaw Township
0%50%100%150%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-37.324947%-28.148716%-37.324947%37%34.726%34.7%25.287%25.3%2.401299%11.306933%2.401299%2%60.052%60.1%61.494%61.5%153.132184%29.640755%153.132184%153%5.222%5.22%13.218%13.2%
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 Adams County and the Kenesaw Township
More Females More Males
Adams County
Kenesaw Township
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%311.240168%1,000.000000%> 1000%0.000%0%0.862%0.86%-308.877285%-40.470102%-308.877285%309%7.050%7.05%1.724%1.72%-101.475763%-24.878665%-101.475763%101%13.316%13.3%6.609%6.61%-54.486170%12.058516%12.058516%12%14.360%14.4%16.092%16.1%8.109551%7.293544%8.109551%8%29.504%29.5%31.897%31.9%-3.211742%-3.211742%3%14.567483%30.548%30.5%29.598%29.6%46.743295%41.378167%46.743295%47%3.916%3.92%5.747%5.75%318.218391%7.716148%318.218391%318%1.305%1.31%5.460%5.46%1,000.000000%81.346406%1,000.000000%> 1000%0.000%0%2.011%2.01%
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 Adams County and the Kenesaw Township
Kenesaw Township
Adams County
0%5%10%15%B.X.Total65+45-6435-4425-345.882353%10.758886%5.882353%5.9%1525511.969112%14.514768%11.969112%12.0%3125916.935484%19.905213%16.935484%16.9%211247.526882%15.080888%7.526882%7.5%793
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 Adams County at large.
Scope: population of Adams County and the Kenesaw Township
50%40%30%20%10%0%%ref.65+45-6435-4425-34-45.325630%-45.325630%45.3%5.882%5.88%10.759%10.8%-17.538386%-17.538386%17.5%11.969%12.0%14.515%14.5%-14.919355%-14.919355%14.9%16.935%16.9%19.905%19.9%-50.089932%-50.089932%50.1%7.527%7.53%15.081%15.1%
% percentage in the Kenesaw Township with a Bachelor's degree
ref percentage in Adams 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 Adams County and the Kenesaw Township
More Females More Males
Adams County
Kenesaw Township
0%500%1,000%FM65+45-6435-4425-34-377.551020%-9.798755%-377.551020%377.6%8.844%8.84%1.852%1.85%-125.120000%-11.168677%-125.120000%125.1%16.800%16.8%7.463%7.46%-250.000000%-66.531219%-250.000000%250.0%25.000%25.0%7.143%7.14%-46.474547%1,000.000000%1,000.000000%> 1000%0.000%0%14.000%14.0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Adams County and the Kenesaw Township
Kenesaw Township
Adams County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$51,250.000000$52,995.000000$51,250.000000$51.3k364.925%4.92%$39,250.000000$39,439.000000$39,250.000000$39.3k7410.123%10.1%$36,333.000000$31,975.000000$36,333.000000$36.3k33545.828%45.8%$20,625.000000$30,889.000000$20,625.000000$20.6k22030.096%30.1%$19,375.000000$22,543.000000$19,375.000000$19.4k669.029%9.03%$33,929.000000$33,036.000000$33,929.000000$33.9k731100.000%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 Adams County and the Kenesaw Township
Female Male
Adams County
Kenesaw Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-38,125.000000$-31,377.000000$-38,125.000000$38.1k$38,125.000000$13,000.000000$31,377.000000$22,464.000000$51,125.000000$51.1k5123$-30,547.000000$-27,267.000000$-30,547.000000$30.5k$30,547.000000$11,380.000000$27,267.000000$13,430.000000$41,927.000000$41.9k168167$-9,605.000000$-21,492.000000$-9,605.000000$9.6k$9,605.000000$33,103.000000$21,492.000000$16,583.000000$42,708.000000$42.7k117103$-26,641.000000$-27,201.000000$-26,641.000000$26.6k$26,641.000000$15,471.000000$27,201.000000$13,845.000000$42,112.000000$42.1k383348
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 Adams County and the Kenesaw Township
Kenesaw Township
Adams County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma391.250000%86.078051%91.250000%91.3%7382.417582%83.910851%82.417582%82.4%22587.500000%76.753878%87.500000%87.5%8481.481481%56.906615%81.481481%81.5%22
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 Adams County and the Kenesaw Township
Female Male
Adams County
Kenesaw Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1Hispanic2Other1-5.305040%-5.189370%-5.305040%5.3%5.305040%8.224372%5.189370%1.892342%13.529412%13.5%4620-0.000000%-34.890511%-15.109489%0.000000%0.0%0.000000%0.000000%34.890511%0.000000%0.0%00-0.000000%-50.364964%0.000000%0.0%0.000000%0.000000%50.364964%2.423141%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Adams County and the Kenesaw Township
Female Male
Adams County
Kenesaw Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Hispanic2Other1-8.529412%-12.160243%-21.689828%-3.189854%-20.689655%20.7%8.529412%21.689828%8.529412%8.5%2978-0.000000%-13.576642%-4.293394%0.000000%0.0%0.000000%0.000000%13.576642%0.000000%0.0%00-0.000000%-7.806691%-2.412287%0.000000%0.0%0.000000%0.000000%7.806691%0.000000%0.0%00
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 Hastings Area

There are 17 county subdivisions in the Hastings Area. This section compares the Kenesaw Township to all of the county subdivisions in the Hastings Area and to those entities that contain or substantially overlap with the Kenesaw 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 Kenesaw Township, selected other county subdivisions in the Hastings Area, and entities that contain the Kenesaw Township
0%5%10%Count#United States of AmericaUnited StatesHastingsHanover TownshipHanoverMidwestCottonwood TownshipCottonwoodNebraskaWest North CentralHastings Metro AreaHastings AreaAdams CountyAdamsKenesaw TownshipKenesawRoseland TownshipRoselandSilver Lake TownshipSilver LkWest Blue TownshipW BlueBlaine TownshipBlaine965400Tract 965400Juniata TownshipJuniataHighland TownshipHighlandZero TownshipVerona TownshipVeronaDenver TownshipDenverAyr TownshipLittle Blue TownshipLittle BlueLogan TownshipLoganWanda TownshipWanda13.020590%13.020590%13.0%27,818,38027.8M10.420360%10.420360%10.4%1,646110.256410%10.256410%10.3%8210.244520%10.244520%10.2%4,641,8354.64M10.064935%10.064935%10.1%3139.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M9.088224%9.088224%9.1%1,8469.088224%9.088224%9.1%1,8469.028728%9.028728%9.0%6647.961783%7.961783%8.0%2555.479452%5.479452%5.5%464.545455%4.545455%4.5%874.411765%4.411765%4.4%683.699966%3.699966%3.7%1103.579952%3.579952%3.6%3093.515625%3.515625%3.5%9102.347418%2.347418%2.3%5110.757576%0.757576%0.8%1120.730994%0.730994%0.7%5130.630915%0.630915%0.6%2140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%017
Count number of people in category
# rank of county subdivision out of 17 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 Kenesaw Township, selected other county subdivisions in the Hastings Area, and entities that contain the Kenesaw Township
0%10%20%30%40%Count#Verona TownshipVeronaWest Blue TownshipW BlueDenver TownshipDenverAyr TownshipLogan TownshipLoganUnited States of AmericaUnited StatesWest North CentralNebraskaMidwest965400Tract 965400HastingsHastings Metro AreaHastings AreaAdams CountyAdamsJuniata TownshipJuniataSilver Lake TownshipSilver LkHanover TownshipHanoverZero TownshipWanda TownshipWandaKenesaw TownshipKenesawRoseland TownshipRoselandLittle Blue TownshipLittle BlueBlaine TownshipBlaineCottonwood TownshipCottonwoodHighland TownshipHighland42.424242%42.424242%42.4%56132.386364%32.386364%32.4%57232.163743%32.163743%32.2%220331.545741%31.545741%31.5%100430.985915%30.985915%31.0%22530.315023%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%13,118,64213.1M28.826102%28.826102%28.8%85723.037478%23.037478%23.0%3,639622.563017%22.563017%22.6%4,58322.563017%22.563017%22.6%4,58322.553699%22.553699%22.6%189721.917808%21.917808%21.9%16820.512821%20.512821%20.5%16917.840376%17.840376%17.8%381017.543860%17.543860%17.5%101115.047880%15.047880%15.0%1101213.694268%13.694268%13.7%431313.636364%13.636364%13.6%18149.558824%9.558824%9.6%13158.766234%8.766234%8.8%27163.515625%3.515625%3.5%917
Count number of people in category
# rank of county subdivision out of 17 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 Kenesaw Township, selected other county subdivisions in the Hastings Area, and entities that contain the Kenesaw Township
0%1%2%3%Count#United States of AmericaUnited StatesVerona TownshipVeronaWest North CentralNebraskaMidwestAyr TownshipHastings965400Tract 965400Hastings Metro AreaHastings AreaAdams CountyAdamsRoseland TownshipRoselandZero TownshipKenesaw TownshipKenesawCottonwood TownshipCottonwoodJuniata TownshipJuniataDenver TownshipDenverHighland TownshipHighlandBlaine TownshipBlaineWest Blue TownshipW BlueLittle Blue TownshipLittle BlueHanover TownshipHanoverLogan TownshipLoganWanda TownshipWandaSilver Lake TownshipSilver Lk3.336158%3.336158%3.3%7,127,6737.13M3.030303%3.030303%3.0%412.978981%2.978981%3.0%414,980415k2.935920%2.935920%2.9%35,91335.9k2.893416%2.893416%2.9%1,311,0191.31M2.523659%2.523659%2.5%822.266397%2.266397%2.3%35832.152708%2.152708%2.2%641.875738%1.875738%1.9%3811.875738%1.875738%1.9%3811.273885%1.273885%1.3%440.469484%0.469484%0.5%150.410397%0.410397%0.4%360.324675%0.324675%0.3%170.238663%0.238663%0.2%280.000000%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%017
Count number of people in category
# rank of county subdivision out of 17 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 Kenesaw Township, selected other county subdivisions in the Hastings Area, and entities that contain the Kenesaw Township
Female
Male
0x5x10xFM#DenverAyr TownshipHighlandZero TownshipVeronaBlaineW BlueHanoverSilver LkTract 965400KenesawJuniataHastings AreaAdamsHastingsNebraskaWest North CentralMidwestUnited StatesCottonwoodRoseland-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.433%1.43%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.212%1.21%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.767%6.77%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.717%4.72%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.471%1.47%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.955%8.96%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.692%7.69%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%23.529%23.5%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.756%9.76%9-1.000000x-1.000000x2.584645x2.584645x2.58x2.071%2.07%5.352%5.35%-1.000000x-1.000000x2.531322x2.531322x2.53x5.222%5.22%13.218%13.2%10-1.000000x-1.000000x1.993690x1.993690x1.99x2.450%2.45%4.884%4.88%11-1.000000x-1.000000x1.296408x1.296408x1.30x7.932%7.93%10.283%10.3%-1.000000x-1.000000x1.296408x1.296408x1.30x7.932%7.93%10.283%10.3%-1.000000x-1.000000x1.229773x1.229773x1.23x9.369%9.37%11.522%11.5%12-1.000000x-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%-1.183562x-1.183562x1.18x1.000000x1.000000x10.959%11.0%9.259%9.26%13-1.558442x-1.558442x1.56x1.000000x1.000000x9.740%9.74%6.250%6.25%14
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 14 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Kenesaw Township, selected other county subdivisions in the Hastings Area, and entities that contain the Kenesaw Township
Female
Male
10x5x0x5x10xFM#KenesawRoselandCottonwoodVeronaTract 965400HastingsHastings AreaAdamsNebraskaMidwestWest North CentralUnited StatesJuniataAyr TownshipZero Township-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.862%0.86%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.500%2.50%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.617%0.62%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.882%5.88%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.134%0.13%4.201%4.20%-1.000000x-1.000000x3.118254x3.118254x3.12x1.114%1.11%3.473%3.47%5-1.000000x-1.000000x2.866102x2.866102x2.87x0.978%0.98%2.804%2.80%-1.000000x-1.000000x2.866102x2.866102x2.87x0.978%0.98%2.804%2.80%-1.000000x-1.000000x1.674648x1.674648x1.67x2.207%2.21%3.696%3.70%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.445%0.45%0.000%0%6-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.263%5.26%0.000%0%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.935%0.93%0.000%0%8
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 8 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 Kenesaw Township to the 50 most populous county subdivisions in Nebraska and to those entities that contain or substantially overlap with the Kenesaw Township. The least populous of the compared county subdivisions has a population of 3,816.

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 the Kenesaw Township, selected other county subdivisions in Nebraska, and entities that contain the Kenesaw Township
0%10%20%30%40%Count#SchuylerLexingtonSouth Sioux CityS Sioux CityCreteGrand IslandScottsbluffFairburyFremontUnited States of AmericaUnited StatesBeatriceColumbusOmahaCozadNorfolkNebraska CityDouglas PrecinctDouglasHastingsMidwestBuffalo Precinct 1010North Platte PrecinctN PlatteNebraskaWest North CentralWahooHastings Metro AreaHastings AreaAdams CountyAdamsKenesaw TownshipKenesawOgallalaEleven PrecinctElevenFalls CityPlattsmouthBellevue PrecinctBellevueGeringLincolnSidneySewardMcCookYorkPapillion Second II PrecinctPapillion 2nd IILa Vista PrecinctLa VisBlairHamilton Precinct 44Union PrecinctUnionPapillion PrecinctPapillion965400Tract 965400Buffalo Precinct 77McArdle PrecinctMcArdleWashington Township 11Jefferson PrecinctJeffersonRichland VII PrecinctRichland VIIRichland VIII PrecinctRichland VIIIBellevue Second I PrecinctBellevue 2nd IMillard PrecinctMillardWaverly PrecinctWaverlyPapillion Second I PrecinctPapillion 2nd IMelia-Forest City PrecinctMelia-Frst CityChicago PrecinctChicagoBellevue Second II PrecinctBellevue 2nd IIBellevue Second III PrecinctBellevue 2nd III46.888567%46.888567%46.9%1,620144.841001%44.841001%44.8%2,651230.959673%30.959673%31.0%2,426327.131783%27.131783%27.1%1,050418.582370%18.582370%18.6%5,993518.143593%18.143593%18.1%1,726615.527950%15.527950%15.5%425714.482599%14.482599%14.5%2,501813.020590%13.020590%13.0%27,818,38027.8M12.583988%12.583988%12.6%1,105912.234261%12.234261%12.2%1,7841012.198899%12.198899%12.2%35,05035.1k1111.541219%11.541219%11.5%3221210.713358%10.713358%10.7%1,6491310.640049%10.640049%10.6%5171410.547300%10.547300%10.5%5821510.420360%10.420360%10.4%1,6461610.244520%10.244520%10.2%4,641,8354.64M9.802306%9.802306%9.8%238179.623689%9.623689%9.6%1,560189.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M9.168662%9.168662%9.2%268199.088224%9.088224%9.1%1,8469.088224%9.088224%9.1%1,8469.028728%9.028728%9.0%669.015128%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%174315.315850%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%517363.699966%3.699966%3.7%1103.202135%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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Kenesaw Township, selected other county subdivisions in Nebraska, and entities that contain the Kenesaw 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 CentralNebraskaMidwest965400Tract 965400BlairBellevue PrecinctBellevueWahooSidneyHastingsHamilton Precinct 44Hastings Metro AreaHastings AreaAdams CountyAdamsGeringOgallalaColumbusScottsbluffNorth Platte PrecinctN PlatteCozadFalls CityNorfolkFremontBeatriceMcCookNebraska CityGrand IslandBuffalo Precinct 1010Kenesaw TownshipKenesawEleven PrecinctElevenPlattsmouthCreteSouth Sioux CityS Sioux CityFairburyLexingtonSchuyler60.613337%60.613337%60.6%12,11612.1k159.822380%59.822380%59.8%1,684255.822690%55.822690%55.8%2,229354.571975%54.571975%54.6%5,425454.279960%54.279960%54.3%1,617553.756934%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%13,118,64213.1M28.826102%28.826102%28.8%85728.806356%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%6532922.563017%22.563017%22.6%4,58322.563017%22.563017%22.6%4,58322.530973%22.530973%22.5%1,2733022.136462%22.136462%22.1%7173122.123166%22.123166%22.1%3,2263221.097446%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%4144315.047880%15.047880%15.0%11014.228457%14.228457%14.2%9234414.070712%14.070712%14.1%5894513.126615%13.126615%13.1%5084612.455334%12.455334%12.5%9764710.632079%10.632079%10.6%291488.355886%8.355886%8.4%494497.467438%7.467438%7.5%25850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 the Kenesaw Township, selected other county subdivisions in Nebraska, and entities that contain the Kenesaw 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 VisScottsbluffHastingsMcCook965400Tract 965400ColumbusGeringHastings Metro AreaHastings AreaAdams CountyAdamsBeatriceBlairWahooDouglas PrecinctDouglasGrand IslandNorfolkSidneyNorth Platte PrecinctN PlatteBellevue PrecinctBellevuePlattsmouthFairburyCreteFremontLexingtonHamilton Precinct 44Eleven PrecinctElevenCozadWaverly PrecinctWaverlySouth Sioux CityS Sioux CityNebraska CityKenesaw TownshipKenesawBuffalo Precinct 1010SchuylerFalls City8.072048%8.072048%8.1%12116.649475%6.649475%6.6%36125.648106%5.648106%5.6%1,12935.165437%5.165437%5.2%21744.686510%4.686510%4.7%37054.649521%4.649521%4.6%46164.597123%4.597123%4.6%45774.568292%4.568292%4.6%7,65684.253859%4.253859%4.3%12494.132231%4.132231%4.1%165104.059919%4.059919%4.1%11,66511.7k113.969549%3.969549%4.0%219123.872114%3.872114%3.9%109133.841388%3.841388%3.8%124143.559603%3.559603%3.6%86153.361972%3.361972%3.4%90163.336158%3.336158%3.3%7,127,6737.13M3.121989%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%107252.152708%2.152708%2.2%641.988753%1.988753%2.0%290261.964602%1.964602%2.0%111271.875738%1.875738%1.9%3811.875738%1.875738%1.9%3811.696845%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%30470.410397%0.410397%0.4%30.329489%0.329489%0.3%8480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 the Kenesaw Township, selected other county subdivisions in Nebraska, and entities that contain the Kenesaw Township
Female
Male
10x5x0xFM#1Tract 965400KenesawFairburyCreteBlairPlattsmouthMcArdle47JeffersonMelia-Frst CityNorfolkColumbusFalls CityGrand IslandGeringHastings AreaAdamsPapillion 2nd IScottsbluffBellevue 2nd ILincolnOmahaHastingsSchuylerChicagoNebraskaOgallalaUnion10West North CentralWahooMidwestUnited StatesCozadSewardLexingtonBeatriceFremontN PlatteDouglasMcCookRichland VIIIElevenBellevueSidneyS Sioux CityPapillionPapillion 2nd IILa VisNebraska CityRichland VIIYorkBellevue 2nd IIIWaverlyMillardBellevue 2nd II-1.000000x-1.000000x2.962111x2.962111x2.96x1.291%1.29%3.824%3.82%1-1.000000x-1.000000x2.584645x2.584645x2.58x2.071%2.07%5.352%5.35%-1.000000x-1.000000x2.531322x2.531322x2.53x5.222%5.22%13.218%13.2%-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-1.000000x1.296408x1.296408x1.30x7.932%7.93%10.283%10.3%-1.000000x-1.000000x1.296408x1.296408x1.30x7.932%7.93%10.283%10.3%-1.000000x-1.000000x1.277949x1.277949x1.28x1.323%1.32%1.691%1.69%16-1.000000x-1.000000x1.260725x1.260725x1.26x16.224%16.2%20.454%20.5%17-1.000000x-1.000000x1.240747x1.240747x1.24x1.870%1.87%2.320%2.32%18-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%19-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%20-1.000000x-1.000000x1.229773x1.229773x1.23x9.369%9.37%11.522%11.5%21-1.000000x-1.000000x1.212474x1.212474x1.21x42.166%42.2%51.126%51.1%22-1.000000x-1.000000x1.204076x1.204076x1.20x1.224%1.22%1.474%1.47%23-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-1.000000x-1.000000x1.178840x1.178840x1.18x8.299%8.30%9.783%9.78%24-1.000000x-1.000000x1.158189x1.158189x1.16x4.611%4.61%5.341%5.34%25-1.000000x-1.000000x1.143760x1.143760x1.14x9.129%9.13%10.442%10.4%26-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136717x1.136717x1.14x8.642%8.64%9.823%9.82%27-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.078093x1.078093x1.08x11.134%11.1%12.003%12.0%28-1.000000x-1.000000x1.076953x1.076953x1.08x6.148%6.15%6.621%6.62%29-1.000000x-1.000000x1.068696x1.068696x1.07x43.310%43.3%46.285%46.3%30-1.000000x-1.000000x1.051358x1.051358x1.05x12.289%12.3%12.920%12.9%31-1.000000x-1.000000x1.049479x1.049479x1.05x14.153%14.2%14.853%14.9%32-1.000000x-1.000000x1.022054x1.022054x1.02x9.525%9.52%9.735%9.73%33-1.013683x-1.013683x1.01x1.000000x1.000000x10.615%10.6%10.472%10.5%34-1.032002x-1.032002x1.03x1.000000x1.000000x6.348%6.35%6.151%6.15%35-1.118500x-1.118500x1.12x1.000000x1.000000x2.382%2.38%2.130%2.13%36-1.176445x-1.176445x1.18x1.000000x1.000000x9.645%9.65%8.199%8.20%37-1.217855x-1.217855x1.22x1.000000x1.000000x8.228%8.23%6.756%6.76%38-1.241724x-1.241724x1.24x1.000000x1.000000x7.675%7.67%6.181%6.18%39-1.243536x-1.243536x1.24x1.000000x1.000000x34.037%34.0%27.371%27.4%40-1.352574x-1.352574x1.35x1.000000x1.000000x4.508%4.51%3.333%3.33%41-1.404296x-1.404296x1.40x1.000000x1.000000x6.926%6.93%4.932%4.93%42-1.456022x-1.456022x1.46x1.000000x1.000000x6.253%6.25%4.295%4.29%43-1.513869x-1.513869x1.51x1.000000x1.000000x12.671%12.7%8.370%8.37%44-1.611039x-1.611039x1.61x1.000000x1.000000x2.804%2.80%1.741%1.74%45-1.799205x-1.799205x1.80x1.000000x1.000000x7.653%7.65%4.254%4.25%46-2.135735x-2.135735x2.14x1.000000x1.000000x1.700%1.70%0.796%0.80%47-3.162239x-3.162239x3.16x1.000000x1.000000x2.301%2.30%0.728%0.73%48-5.526539x-5.526539x5.53x1.000000x1.000000x2.548%2.55%0.461%0.46%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.459%2.46%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Kenesaw Township, selected other county subdivisions in Nebraska, and entities that contain the Kenesaw Township
Female
Male
10x5x0x5x10xFM#Kenesaw4CozadBeatriceTract 965400S Sioux City7GeringFairburyLa VisPapillion 2nd IINorfolkHastingsFremontMillardPlattsmouthHastings AreaAdamsLexingtonScottsbluffSewardBellevue 2nd IIIYorkColumbusN PlatteWaverlyMcArdleNebraska1OmahaBellevue 2nd IILincolnMidwestWest North CentralRichland VIIIUnited StatesWahooElevenChicagoBlairRichland VIIPapillion 2nd IJeffersonPapillionGrand IslandBellevue 2nd IBellevueUnionOgallalaMcCookSidneyMelia-Frst CityCreteNebraska CityDouglas10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.862%0.86%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.050%2.05%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.758%1.76%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.086%0.09%3.528%3.53%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.134%0.13%4.201%4.20%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.095%0.09%1.382%1.38%4-1.000000x-1.000000x4.842798x4.842798x4.84x2.831%2.83%13.712%13.7%5-1.000000x-1.000000x4.074718x4.074718x4.07x0.803%0.80%3.271%3.27%6-1.000000x-1.000000x4.017361x4.017361x4.02x0.529%0.53%2.124%2.12%7-1.000000x-1.000000x3.949116x3.949116x3.95x0.952%0.95%3.758%3.76%8-1.000000x-1.000000x3.395378x3.395378x3.40x1.979%1.98%6.719%6.72%9-1.000000x-1.000000x3.205458x3.205458x3.21x0.784%0.78%2.514%2.51%10-1.000000x-1.000000x3.118254x3.118254x3.12x1.114%1.11%3.473%3.47%11-1.000000x-1.000000x2.874950x2.874950x2.87x0.646%0.65%1.857%1.86%12-1.000000x-1.000000x2.873188x2.873188x2.87x3.503%3.50%10.065%10.1%13-1.000000x-1.000000x2.873132x2.873132x2.87x0.675%0.68%1.940%1.94%14-1.000000x-1.000000x2.866102x2.866102x2.87x0.978%0.98%2.804%2.80%-1.000000x-1.000000x2.866102x2.866102x2.87x0.978%0.98%2.804%2.80%-1.000000x-1.000000x2.673132x2.673132x2.67x0.627%0.63%1.677%1.68%15-1.000000x-1.000000x2.637330x2.637330x2.64x1.309%1.31%3.451%3.45%16-1.000000x-1.000000x2.498867x2.498867x2.50x2.981%2.98%7.449%7.45%17-1.000000x-1.000000x2.487434x2.487434x2.49x1.360%1.36%3.382%3.38%18-1.000000x-1.000000x2.244581x2.244581x2.24x1.968%1.97%4.417%4.42%19-1.000000x-1.000000x2.216284x2.216284x2.22x1.244%1.24%2.756%2.76%20-1.000000x-1.000000x2.178361x2.178361x2.18x0.873%0.87%1.902%1.90%21-1.000000x-1.000000x2.131636x2.131636x2.13x0.493%0.49%1.051%1.05%22-1.000000x-1.000000x1.751644x1.751644x1.75x3.477%3.48%6.090%6.09%23-1.000000x-1.000000x1.674648x1.674648x1.67x2.207%2.21%3.696%3.70%-1.000000x-1.000000x1.672660x1.672660x1.67x2.506%2.51%4.191%4.19%24-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%25-1.000000x-1.000000x1.600834x1.600834x1.60x3.005%3.01%4.811%4.81%26-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%27-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.535232x1.535232x1.54x3.689%3.69%5.663%5.66%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525849x1.525849x1.53x1.358%1.36%2.072%2.07%29-1.000000x-1.000000x1.511541x1.511541x1.51x0.691%0.69%1.045%1.04%30-1.000000x-1.000000x1.296929x1.296929x1.30x4.937%4.94%6.403%6.40%31-1.000000x-1.000000x1.286604x1.286604x1.29x1.488%1.49%1.914%1.91%32-1.000000x-1.000000x1.264646x1.264646x1.26x3.514%3.51%4.444%4.44%33-1.000000x-1.000000x1.254713x1.254713x1.25x3.675%3.67%4.611%4.61%34-1.000000x-1.000000x1.249877x1.249877x1.25x4.106%4.11%5.133%5.13%35-1.000000x-1.000000x1.160922x1.160922x1.16x2.434%2.43%2.826%2.83%36-1.000000x-1.000000x1.145464x1.145464x1.15x1.551%1.55%1.776%1.78%37-1.000000x-1.000000x1.097081x1.097081x1.10x3.384%3.38%3.712%3.71%38-1.000000x-1.000000x1.046934x1.046934x1.05x1.323%1.32%1.385%1.39%39-1.146411x-1.146411x1.15x1.000000x1.000000x2.953%2.95%2.576%2.58%40-1.179450x-1.179450x1.18x1.000000x1.000000x2.866%2.87%2.430%2.43%41-1.199167x-1.199167x1.20x1.000000x1.000000x2.371%2.37%1.977%1.98%42-2.081604x-2.081604x2.08x1.000000x1.000000x1.851%1.85%0.889%0.89%43-2.161720x-2.161720x2.16x1.000000x1.000000x5.209%5.21%2.410%2.41%44-2.351984x-2.351984x2.35x1.000000x1.000000x1.729%1.73%0.735%0.74%45-2.459454x-2.459454x2.46x1.000000x1.000000x0.858%0.86%0.349%0.35%46-3.488717x-3.488717x3.49x1.000000x1.000000x2.524%2.52%0.724%0.72%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.676%0.68%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Kenesaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kenesaw Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsNebraskaWest North CentralHastings Metro AreaHastings AreaAdams CountyAdamsKenesaw TownshipKenesawCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners Grv965400Tract 965400Lisle 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%9,123349.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M9.088224%9.088224%9.1%1,8469.088224%9.088224%9.1%1,8469.028728%9.028728%9.0%668.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.699966%3.699966%3.7%1103.522812%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#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Kenesaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kenesaw 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 CentralNebraskaMidwestWichita965400Tract 965400Sterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeHastings Metro AreaHastings AreaAdams CountyAdamsRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipKenesaw TownshipKenesawDetroit72.810169%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%71,75771.8k3028.826102%28.826102%28.8%85727.532180%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%85,81285.8k3622.563017%22.563017%22.6%4,58322.563017%22.563017%22.6%4,58321.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4915.047880%15.047880%15.0%11013.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

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 Kenesaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kenesaw 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 TownshipProvisoAkron965400Tract 965400Bloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandHastings Metro AreaHastings AreaAdams CountyAdamsToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonKenesaw TownshipKenesaw17.877867%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%2,858342.152708%2.152708%2.2%642.113682%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%4,911391.875738%1.875738%1.9%3811.875738%1.875738%1.9%3811.642065%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%971500.410397%0.410397%0.4%3
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#28

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 Kenesaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kenesaw Township
Female
Male
1x0x1x2xFM#Tract 965400KenesawHastings AreaAdamsCedar RapidsLincolnDetroitOmahaToledoThorntonNebraskaKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.584645x2.584645x2.58x2.071%2.07%5.352%5.35%-1.000000x-1.000000x2.531322x2.531322x2.53x5.222%5.22%13.218%13.2%-1.000000x-1.000000x1.296408x1.296408x1.30x7.932%7.93%10.283%10.3%-1.000000x-1.000000x1.296408x1.296408x1.30x7.932%7.93%10.283%10.3%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Kenesaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kenesaw Township
Female
Male
0x5x10xFM#KenesawTract 965400Hastings AreaAdamsRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheNebraskaOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.862%0.86%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.134%0.13%4.201%4.20%-1.000000x-1.000000x2.866102x2.866102x2.87x0.978%0.98%2.804%2.80%-1.000000x-1.000000x2.866102x2.866102x2.87x0.978%0.98%2.804%2.80%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.674648x1.674648x1.67x2.207%2.21%3.696%3.70%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
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 Kenesaw Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Kenesaw Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Kenesaw Township, selected other county subdivisions in the United States, and entities that contain the Kenesaw Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaNebraskaWest North CentralHastings Metro AreaHastings AreaAdams CountyAdamsKenesaw TownshipKenesawSeattleNortheast TarrantNE TarrantPlanoSeattle East965400Tract 96540028.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M9.088224%9.088224%9.1%1,8469.088224%9.088224%9.1%1,8469.028728%9.028728%9.0%668.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.699966%3.699966%3.7%110
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#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Kenesaw Township, selected other county subdivisions in the United States, and entities that contain the Kenesaw 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-LakewoodMidwest965400Tract 965400PhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeHastings Metro AreaHastings AreaAdams CountyAdamsFresnoLas VegasEl PasoBronxSan BernardinoKenesaw TownshipKenesawSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%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%13,118,64213.1M28.826102%28.826102%28.8%85728.760152%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%85,81285.8k4322.563017%22.563017%22.6%4,58322.563017%22.563017%22.6%4,58322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.047880%15.047880%15.0%11014.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

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 Kenesaw Township, selected other county subdivisions in the United States, and entities that contain the Kenesaw 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 Vegas965400Tract 965400MilwaukeeHastings Metro AreaHastings AreaAdams CountyAdamsSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitKenesaw TownshipKenesaw12.461852%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%26,91426.9k432.152708%2.152708%2.2%642.043126%2.043126%2.0%7,455441.875738%1.875738%1.9%3811.875738%1.875738%1.9%3811.807306%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%5,693500.410397%0.410397%0.4%3
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#33

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 Kenesaw Township, selected other county subdivisions in the United States, and entities that contain the Kenesaw Township
Female
Male
1x0x1x2xFM#Tract 965400KenesawHastings AreaAdams1, CharlotteDetroitNebraskaBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.584645x2.584645x2.58x2.071%2.07%5.352%5.35%-1.000000x-1.000000x2.531322x2.531322x2.53x5.222%5.22%13.218%13.2%-1.000000x-1.000000x1.296408x1.296408x1.30x7.932%7.93%10.283%10.3%-1.000000x-1.000000x1.296408x1.296408x1.30x7.932%7.93%10.283%10.3%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Kenesaw Township, selected other county subdivisions in the United States, and entities that contain the Kenesaw Township
Female
Male
0x5x10xFM#KenesawTract 965400Hastings AreaAdamsEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthNebraskaOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.862%0.86%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.134%0.13%4.201%4.20%-1.000000x-1.000000x2.866102x2.866102x2.87x0.978%0.98%2.804%2.80%-1.000000x-1.000000x2.866102x2.866102x2.87x0.978%0.98%2.804%2.80%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.674648x1.674648x1.67x2.207%2.21%3.696%3.70%-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Nebraska
County:
Adams
Metro Area:
Hastings Area
Village:
Kenesaw
ZIP Codes:
68883, 68955, 68956
Unified School Districts:
Kenesaw, Shelton
Congressional District:
NE-3
State Senate District:
NE-33
Neighboring Precincts:
21
Neighboring Townships:
Eaton, Juniata, Lowell, Martin, Verona, Wanda
Nearby Precincts:
22, 23, 24
Nearby Townships:
Cottonwood, Denver, Highland, Jackson, Liberty, Roseland, Wood River