Educational Attainment in Columbus, Platte County, Nebraska (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Platte County and Columbus
Columbus
Platte County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma233.699081%33.601165%33.699081%33.7%4,91454.066658%55.422423%54.066658%54.1%7,88412.234261%10.976412%12.234261%12.2%1,784
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Platte County at large.
Scope: population of Platte County and Columbus
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma20.291406%0.291406%+0.3%33.699%33.7%33.601%33.6%-2.446239%-2.446239%-2.4%54.067%54.1%55.422%55.4%11.459568%11.459568%+11.5%12.234%12.2%10.976%11.0%
% percentage with given level in Columbus
ref. percentage with given level in Platte County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Platte County and Columbus
Columbus
Platte County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.699493%0.780002%0.699493%0.7%1021.289261%1.287473%1.289261%1.3%1884.882732%4.698807%4.882732%4.9%71215.251680%14.627385%15.251680%15.3%2,22411.575916%12.207499%11.575916%11.6%1,68824.036483%24.194155%24.036483%24.0%3,50530.030174%31.228268%30.030174%30.0%4,3796.055411%5.605676%6.055411%6.1%8835.013030%4.322902%5.013030%5.0%7311.165821%1.047834%1.165821%1.2%170
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Platte County at large.
Scope: population of Platte County and Columbus
-10%0%+10%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-10.321687%-10.321687%-10.3%0.699%0.70%0.780%0.78%0.138857%0.138857%+0.1%1.289%1.29%1.287%1.29%3.914305%3.914305%+3.9%4.883%4.88%4.699%4.70%4.267991%4.267991%+4.3%15.252%15.3%14.627%14.6%-5.173736%-5.173736%-5.2%11.576%11.6%12.207%12.2%-0.651692%-0.651692%-0.7%24.036%24.0%24.194%24.2%-3.836568%-3.836568%-3.8%30.030%30.0%31.228%31.2%8.022843%8.022843%+8.0%6.055%6.06%5.606%5.61%15.964456%15.964456%+16.0%5.013%5.01%4.323%4.32%11.260089%11.260089%+11.3%1.166%1.17%1.048%1.05%
% percentage with given level in Columbus
ref. percentage with given level in Platte County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Platte County and Columbus
More Females More Males
Platte County
Columbus
10%0%10%20%30%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma23.314688%2.717953%3.314688%3%33.158%33.2%34.257%34.3%-10.090011%-7.361352%-10.090011%10%56.623%56.6%51.434%51.4%40.029430%32.047384%40.029430%40%10.219%10.2%14.310%14.3%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Platte County and Columbus
More Females More Males
Platte County
Columbus
50%0%50%100%150%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None80.908776%48.876268%80.908776%81%0.500%0.50%0.905%0.90%149.021563%162.492367%149.021563%149%0.743%0.74%1.851%1.85%-46.344844%-58.543816%-46.344844%46%5.785%5.79%3.953%3.95%17.661760%10.456945%17.661760%18%14.031%14.0%16.509%16.5%-9.597802%-9.597802%10%0.909892%12.098%12.1%11.038%11.0%-5.084632%4.936389%4.936389%5%23.466%23.5%24.624%24.6%-23.678230%-9.160428%-23.678230%24%33.158%33.2%26.810%26.8%90.344763%54.990657%90.344763%90%4.190%4.19%7.976%7.98%7.882596%18.380754%7.882596%8%4.826%4.83%5.206%5.21%-6.698173%-11.539226%-6.698173%7%1.203%1.20%1.128%1.13%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Platte County and Columbus
Columbus
Platte County
0%5%10%15%20%B.X.Total65+45-6435-4425-3411.555806%11.067886%11.555806%11.6%4103,54815.259503%14.957315%15.259503%15.3%8355,47214.746717%15.105983%14.746717%14.7%3932,66520.227822%18.172405%20.227822%20.2%5862,897
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Platte County at large.
Scope: population of Platte County and Columbus
2%0%2%4%6%8%10%%ref.65+45-6435-4425-344.408434%4.408434%4.4%11.556%11.6%11.068%11.1%2.020336%2.020336%2.0%15.260%15.3%14.957%15.0%-2.378307%-2.378307%2.4%14.747%14.7%15.106%15.1%11.310649%11.310649%11.3%20.228%20.2%18.172%18.2%
% percentage in Columbus with a Bachelor's degree
ref percentage in Platte County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Platte County and Columbus
More Females More Males
Platte County
Columbus
40%20%0%20%40%60%FM65+45-6435-4425-3477.460196%51.152556%77.460196%77.5%8.652%8.65%15.355%15.4%28.611290%25.504434%28.611290%28.6%13.353%13.4%17.173%17.2%-5.101606%7.562011%7.562011%7.6%14.198%14.2%15.272%15.3%-32.665101%-41.113036%-32.665101%32.7%23.306%23.3%17.568%17.6%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Platte County and Columbus
Columbus
Platte County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$64,875.000000$60,911.000000$64,875.000000$64.9k1,0026.871%6.87%$40,508.000000$40,748.000000$40,508.000000$40.5k2,22415.252%15.3%$35,660.000000$35,590.000000$35,660.000000$35.7k5,19335.612%35.6%$30,493.000000$30,740.000000$30,493.000000$30.5k4,37930.030%30.0%$29,271.000000$26,860.000000$29,271.000000$29.3k1,78412.234%12.2%$34,566.000000$34,536.000000$34,566.000000$34.6k14,58214.6k100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Platte County and Columbus
Female Male
Platte County
Columbus
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-56,823.000000$-51,659.000000$-56,823.000000$56.8k$56,823.000000$10,427.000000$51,659.000000$32,508.000000$67,250.000000$67.3k520482$-32,411.000000$-31,890.000000$-32,411.000000$32.4k$32,411.000000$18,113.000000$31,890.000000$23,627.000000$50,524.000000$50.5k1,0381,186$-30,724.000000$-28,059.000000$-30,724.000000$30.7k$30,724.000000$11,425.000000$28,059.000000$15,835.000000$42,149.000000$42.1k2,6312,562$-25,195.000000$-25,154.000000$-25,195.000000$25.2k$25,195.000000$10,743.000000$25,154.000000$12,643.000000$35,938.000000$35.9k2,4531,926$-24,819.000000$-23,523.000000$-24,819.000000$24.8k$24,819.000000$7,393.000000$23,523.000000$7,364.000000$32,212.000000$32.2k7561,028$-29,087.000000$-27,125.000000$-29,087.000000$29.1k$29,087.000000$11,209.000000$27,125.000000$14,424.000000$40,296.000000$40.3k7,3987,184
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Platte County and Columbus
Columbus
Platte County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma391.238095%89.759524%91.238095%91.2%2,39586.665131%87.562735%86.665131%86.7%3,76378.313253%79.282869%78.313253%78.3%2,27574.526678%76.131953%74.526678%74.5%866
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Platte County and Columbus
Female Male
Platte County
Columbus
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-5.945245%-6.112417%-5.945245%5.9%5.945245%3.565484%6.112417%1.710976%9.510730%9.5%554367-0.000000%-0.000000%0.000000%0.0%0.000000%52.272727%0.000000%48.000000%52.272727%52.3%230-0.000000%-9.677419%-0.000000%-8.219178%-9.677419%9.7%0.000000%0.000000%0.000000%0.0%06-36.060894%-38.031915%-36.060894%36.1%36.060894%3.020561%38.031915%6.033367%39.081456%39.1%451379-23.414634%-13.750117%-25.345622%-12.952250%-37.164751%37.2%23.414634%25.345622%23.414634%23.4%4897
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Platte County and Columbus
Female Male
Platte County
Columbus
Shaded bar tips show excess over facing bar.
50%0%50%100%MFWhite1BlackAsianHispanic2Other1-21.594039%-21.521693%-21.594039%21.6%21.594039%3.659180%21.521693%1.859961%25.253219%25.3%1,4711,333-0.000000%-0.000000%0.000000%0.0%0.000000%11.363636%0.000000%10.000000%11.363636%11.4%50-72.580645%-67.123288%-72.580645%72.6%72.580645%27.419355%67.123288%32.876712%100.000000%100.0%6145-9.878683%-6.106094%-8.456973%-6.436644%-15.984776%16.0%9.878683%8.456973%9.878683%9.9%114168-11.111111%-10.283688%-11.111111%11.1%11.111111%6.937669%10.283688%6.767003%18.048780%18.0%3729
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Columbus

Coarse: Post-Secondary Degree Educational Attainment by Tract#15

Percentage of the population 25 years and older with given highest level of educational attainment
24.1%27.7%31.2%34.8%38.3%41.9%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
43.2%47.2%51.1%55.1%59.1%63.1%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
8.8%10.2%11.4%12.7%13.9%15.3%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.42%0.85%1.27%1.69%2.12%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.51%0.92%1.34%1.75%2.16%2.58%

Detailed: Master's Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%4.2%5.5%6.8%8.1%9.4%

Detailed: Bachelor's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
10.3%12.3%14.3%16.4%18.4%20.4%

Detailed: Associate's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
8.6%9.9%11.2%12.4%13.6%14.9%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
18.6%21.0%23.3%25.7%28.0%30.4%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
24.5%27.2%29.8%32.4%34.9%37.6%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
3.1%4.5%5.9%7.3%8.7%10.1%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
1.7%2.9%4.0%5.2%6.3%7.5%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
1.02%1.12%1.22%1.32%1.42%1.53%
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Educational Attainment by County Subdivision in the Columbus Area

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

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 Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
0%5%10%Count#Columbus TownshipColumbusUnited States of AmericaUnited StatesSt. Bernard TownshipSt. BernardColumbusColumbusOconee TownshipOconeeZIP Code 68601ZIP 68601Columbus Metro AreaColumbus AreaPlatte CountyPlatteMonroe TownshipMonroeMidwestHumphrey TownshipHumphreyNebraskaWest North CentralBurrows TownshipBurrowsWoodville TownshipWoodvilleShell Creek TownshipShell CrkLost Creek TownshipLost CrkButler TownshipButlerGranville TownshipGranvilleCreston TownshipCrestonBismark TownshipBismarkGrand Prairie TownshipGrand PrairieWalker TownshipWalkerSherman TownshipShermanJoliet TownshipJolietLoup TownshipNewman Grove13.354199%13.354199%13.4%256113.020590%13.020590%13.0%27,818,38027.8M12.953368%12.953368%13.0%50212.234261%12.234261%12.2%1,78412.234261%12.234261%12.2%1,784312.121212%12.121212%12.1%48411.612903%11.612903%11.6%2,12410.976412%10.976412%11.0%2,33610.976412%10.976412%11.0%2,33610.833333%10.833333%10.8%13510.244520%10.244520%10.2%4,641,8354.64M9.943182%9.943182%9.9%3569.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M8.904110%8.904110%8.9%1377.894737%7.894737%7.9%986.826568%6.826568%6.8%3796.299213%6.299213%6.3%16105.545617%5.545617%5.5%31114.841150%4.841150%4.8%32123.858521%3.858521%3.9%12130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%020
Count number of people in category
# rank of county subdivision out of 20 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
0%10%20%30%Count#Columbus TownshipColumbusUnited States of AmericaUnited StatesWest North CentralNebraskaMidwestGrand Prairie TownshipGrand PrairieBismark TownshipBismarkZIP Code 68601ZIP 68601ColumbusColumbusButler TownshipButlerColumbus Metro AreaColumbus AreaPlatte CountyPlatteShell Creek TownshipShell CrkCreston TownshipCrestonWalker TownshipWalkerLost Creek TownshipLost CrkGranville TownshipGranvilleHumphrey TownshipHumphreyOconee TownshipOconeeSherman TownshipShermanSt. Bernard TownshipSt. BernardBurrows TownshipBurrowsMonroe TownshipMonroeWoodville TownshipWoodvilleJoliet TownshipJolietLoup TownshipNewman Grove32.446531%32.446531%32.4%622130.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.984843%29.984843%30.0%366,783367k28.952816%28.952816%29.0%13,118,64213.1M28.643216%28.643216%28.6%57228.484848%28.484848%28.5%94323.613997%23.613997%23.6%4,31922.123166%22.123166%22.1%3,22622.123166%22.123166%22.1%3,226422.003578%22.003578%22.0%123521.393666%21.393666%21.4%4,55321.393666%21.393666%21.4%4,55319.741697%19.741697%19.7%107613.504823%13.504823%13.5%42713.245033%13.245033%13.2%20812.992126%12.992126%13.0%33912.254160%12.254160%12.3%81109.943182%9.943182%9.9%35119.848485%9.848485%9.8%39129.459459%9.459459%9.5%14139.326425%9.326425%9.3%36148.904110%8.904110%8.9%13155.833333%5.833333%5.8%7163.508772%3.508772%3.5%4170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%020
Count number of people in category
# rank of county subdivision out of 20 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
0%1%2%3%4%5%Count#Columbus TownshipColumbusOconee TownshipOconeeLost Creek TownshipLost CrkShell Creek TownshipShell CrkUnited States of AmericaUnited StatesWest North CentralNebraskaMidwestZIP Code 68601ZIP 68601Columbus Metro AreaColumbus AreaPlatte CountyPlatteColumbusColumbusWalker TownshipWalkerSt. Bernard TownshipSt. BernardGranville TownshipGranvilleButler TownshipButlerHumphrey TownshipHumphreyBismark TownshipBismarkCreston TownshipCrestonGrand Prairie TownshipGrand PrairieBurrows TownshipBurrowsSherman TownshipShermanWoodville TownshipWoodvilleMonroe TownshipMonroeJoliet TownshipJolietLoup TownshipNewman Grove5.320814%5.320814%5.3%10213.787879%3.787879%3.8%1523.543307%3.543307%3.5%933.505535%3.505535%3.5%1943.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.935920%2.935920%2.9%35,91335.9k2.893416%2.893416%2.9%1,311,0191.31M2.323674%2.323674%2.3%4252.067475%2.067475%2.1%4402.067475%2.067475%2.1%4401.988753%1.988753%2.0%2901.988753%1.988753%2.0%29051.986755%1.986755%2.0%360.518135%0.518135%0.5%270.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%020
Count number of people in category
# rank of county subdivision out of 20 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
Female
Male
10x5x0x5x10xFM#MonroeSt. BernardLost CrkColumbusColumbusColumbusCrestonZIP 68601Columbus AreaPlatteNebraskaWest North CentralMidwestUnited StatesBurrowsHumphreyGranvilleOconeeButlerShell CrkWoodville-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%22.807%22.8%1-1.000000x-1.000000x2.681818x2.681818x2.68x6.780%6.78%18.182%18.2%2-1.000000x-1.000000x2.131783x2.131783x2.13x4.000%4.00%8.527%8.53%3-1.000000x-1.000000x1.610366x1.610366x1.61x10.151%10.2%16.347%16.3%4-1.000000x-1.000000x1.400294x1.400294x1.40x10.219%10.2%14.310%14.3%-1.000000x-1.000000x1.400294x1.400294x1.40x10.219%10.2%14.310%14.3%5-1.000000x-1.000000x1.373248x1.373248x1.37x3.247%3.25%4.459%4.46%6-1.000000x-1.000000x1.323510x1.323510x1.32x10.007%10.0%13.244%13.2%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.301932x-1.301932x1.30x1.000000x1.000000x10.145%10.1%7.792%7.79%7-1.853480x-1.853480x1.85x1.000000x1.000000x13.095%13.1%7.065%7.07%8-1.926499x-1.926499x1.93x1.000000x1.000000x6.383%6.38%3.313%3.31%9-2.125000x-2.125000x2.13x1.000000x1.000000x16.667%16.7%7.843%7.84%10-2.231734x-2.231734x2.23x1.000000x1.000000x7.749%7.75%3.472%3.47%11-2.243919x-2.243919x2.24x1.000000x1.000000x9.122%9.12%4.065%4.07%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x17.308%17.3%0.000%0%13
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 13 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#32

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 Columbus, selected other county subdivisions in the Columbus Area, and entities that contain Columbus
Female
Male
10x5x0x5x10xFM#Shell CrkLost CrkZIP 68601ColumbusColumbusColumbus AreaPlatteNebraskaMidwestWest North CentralUnited StatesOconeeColumbusSt. BernardWalker-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.724%7.72%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.977%6.98%2-1.000000x-1.000000x2.228871x2.228871x2.23x1.443%1.44%3.217%3.22%-1.000000x-1.000000x2.216284x2.216284x2.22x1.244%1.24%2.756%2.76%-1.000000x-1.000000x2.216284x2.216284x2.22x1.244%1.24%2.756%2.76%3-1.000000x-1.000000x2.092596x2.092596x2.09x1.339%1.34%2.802%2.80%-1.000000x-1.000000x2.092596x2.092596x2.09x1.339%1.34%2.802%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%-1.000000x-1.000000x1.411765x1.411765x1.41x3.125%3.13%4.412%4.41%4-1.000000x-1.000000x1.390219x1.390219x1.39x4.428%4.43%6.155%6.16%5-1.180791x-1.180791x1.18x1.000000x1.000000x0.565%0.56%0.478%0.48%6-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.918%4.92%0.000%0%7
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 7 by male-to-female sex ratio

Educational Attainment by County Subdivision in Nebraska

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

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbus, selected other county subdivisions in Nebraska, and entities that contain Columbus
0%10%20%30%40%Count#SchuylerLexingtonSouth Sioux CityS Sioux CityCreteGrand IslandScottsbluffFairburyFremontUnited States of AmericaUnited StatesBeatriceColumbusColumbusOmahaZIP Code 68601ZIP 68601CozadColumbus Metro AreaColumbus AreaPlatte CountyPlatteNorfolkNebraska CityDouglas PrecinctDouglasHastingsMidwestBuffalo Precinct 1010North Platte PrecinctN PlatteNebraskaWest North CentralWahooOgallalaEleven PrecinctElevenFalls CityPlattsmouthBellevue PrecinctBellevueGeringLincolnSidneySewardMcCookYorkPapillion Second II PrecinctPapillion 2nd IILa Vista PrecinctLa VisBlairHamilton Precinct 44Union PrecinctUnionPapillion PrecinctPapillionBuffalo Precinct 77McArdle PrecinctMcArdleWashington Township 11Jefferson PrecinctJeffersonRichland VII PrecinctRichland VIIRichland VIII PrecinctRichland VIIIBellevue Second I PrecinctBellevue 2nd IMillard PrecinctMillardWaverly PrecinctWaverlyPapillion Second I PrecinctPapillion 2nd IMelia-Forest City PrecinctMelia-Frst CityChicago PrecinctChicagoBellevue Second II PrecinctBellevue 2nd IIBellevue Second III PrecinctBellevue 2nd III46.888567%46.888567%46.9%1,620144.841001%44.841001%44.8%2,651230.959673%30.959673%31.0%2,426327.131783%27.131783%27.1%1,050418.582370%18.582370%18.6%5,993518.143593%18.143593%18.1%1,726615.527950%15.527950%15.5%425714.482599%14.482599%14.5%2,501813.020590%13.020590%13.0%27,818,38027.8M12.583988%12.583988%12.6%1,105912.234261%12.234261%12.2%1,78412.234261%12.234261%12.2%1,7841012.198899%12.198899%12.2%35,05035.1k1111.612903%11.612903%11.6%2,12411.541219%11.541219%11.5%3221210.976412%10.976412%11.0%2,33610.976412%10.976412%11.0%2,33610.713358%10.713358%10.7%1,6491310.640049%10.640049%10.6%5171410.547300%10.547300%10.5%5821510.420360%10.420360%10.4%1,6461610.244520%10.244520%10.2%4,641,8354.64M9.802306%9.802306%9.8%238179.623689%9.623689%9.6%1,560189.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M9.168662%9.168662%9.2%268199.015128%9.015128%9.0%292208.940959%8.940959%8.9%580218.278717%8.278717%8.3%240227.596751%7.596751%7.6%318237.520337%7.520337%7.5%2,496247.115044%7.115044%7.1%402257.092309%7.092309%7.1%11,88611.9k266.980587%6.980587%7.0%338276.379433%6.379433%6.4%268286.256389%6.256389%6.3%306296.051262%6.051262%6.1%314305.969125%5.969125%6.0%174315.315850%5.315850%5.3%600325.007391%5.007391%5.0%271334.996481%4.996481%5.0%142344.941076%4.941076%4.9%348353.926781%3.926781%3.9%517363.202135%3.202135%3.2%48373.096319%3.096319%3.1%307382.577512%2.577512%2.6%69392.514838%2.514838%2.5%250402.283850%2.283850%2.3%126412.254592%2.254592%2.3%178422.110927%2.110927%2.1%51431.547246%1.547246%1.5%84441.507742%1.507742%1.5%37451.502630%1.502630%1.5%60461.363073%1.363073%1.4%44471.345740%1.345740%1.3%269481.278863%1.278863%1.3%36491.242028%1.242028%1.2%3750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbus, selected other county subdivisions in Nebraska, and entities that contain Columbus
0%20%40%60%Count#Chicago PrecinctChicagoBellevue Second II PrecinctBellevue 2nd IIPapillion Second I PrecinctPapillion 2nd IJefferson PrecinctJeffersonBellevue Second III PrecinctBellevue 2nd IIIMcArdle PrecinctMcArdleMillard PrecinctMillardRichland VII PrecinctRichland VIIRichland VIII PrecinctRichland VIIIMelia-Forest City PrecinctMelia-Frst CityPapillion Second II PrecinctPapillion 2nd IIBuffalo Precinct 77Union PrecinctUnionPapillion PrecinctPapillionLincolnWashington Township 11OmahaSewardWaverly PrecinctWaverlyLa Vista PrecinctLa VisYorkDouglas PrecinctDouglasBellevue Second I PrecinctBellevue 2nd IUnited States of AmericaUnited StatesWest North CentralNebraskaMidwestBlairBellevue PrecinctBellevueWahooSidneyZIP Code 68601ZIP 68601HastingsHamilton Precinct 44GeringOgallalaColumbusColumbusColumbus Metro AreaColumbus AreaPlatte CountyPlatteScottsbluffNorth Platte PrecinctN PlatteCozadFalls CityNorfolkFremontBeatriceMcCookNebraska CityGrand IslandBuffalo Precinct 1010Eleven PrecinctElevenPlattsmouthCreteSouth Sioux CityS Sioux CityFairburyLexingtonSchuyler60.613337%60.613337%60.6%12,11612.1k159.822380%59.822380%59.8%1,684255.822690%55.822690%55.8%2,229354.571975%54.571975%54.6%5,425454.279960%54.279960%54.3%1,617553.756934%53.756934%53.8%5,330653.748388%53.748388%53.7%2,918752.039152%52.039152%52.0%2,871850.082331%50.082331%50.1%3,954950.030979%50.030979%50.0%1,6151048.953688%48.953688%49.0%1,4271145.163442%45.163442%45.2%6771240.905864%40.905864%40.9%2,8811339.450099%39.450099%39.5%5,1941437.146608%37.146608%37.1%62,25462.3k1536.421367%36.421367%36.4%9751634.651487%34.651487%34.7%99,56199.6k1733.611045%33.611045%33.6%1,4121833.048085%33.048085%33.0%8111932.630460%32.630460%32.6%3,6832032.125650%32.125650%32.1%1,6672131.623777%31.623777%31.6%1,7452231.581126%31.581126%31.6%7632330.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.984843%29.984843%30.0%366,783367k28.952816%28.952816%29.0%13,118,64213.1M28.806356%28.806356%28.8%1,5592428.472431%28.472431%28.5%9,4502527.745467%27.745467%27.7%8112626.869062%26.869062%26.9%1,3012723.613997%23.613997%23.6%4,31923.037478%23.037478%23.0%3,6392822.976777%22.976777%23.0%6532922.530973%22.530973%22.5%1,2733022.136462%22.136462%22.1%7173122.123166%22.123166%22.1%3,22622.123166%22.123166%22.1%3,2263221.393666%21.393666%21.4%4,55321.393666%21.393666%21.4%4,55321.097446%21.097446%21.1%2,0073320.814312%20.814312%20.8%3,3743420.394265%20.394265%20.4%5693519.730942%19.730942%19.7%5723619.555613%19.555613%19.6%3,0103719.103596%19.103596%19.1%3,2993819.098053%19.098053%19.1%1,6773918.196688%18.196688%18.2%8904018.048981%18.048981%18.0%8774117.977737%17.977737%18.0%5,7984217.051071%17.051071%17.1%4144314.228457%14.228457%14.2%9234414.070712%14.070712%14.1%5894513.126615%13.126615%13.1%5084612.455334%12.455334%12.5%9764710.632079%10.632079%10.6%291488.355886%8.355886%8.4%494497.467438%7.467438%7.5%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#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbus, selected other county subdivisions in Nebraska, and entities that contain Columbus
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 IIIZIP Code 68601ZIP 68601La Vista PrecinctLa VisScottsbluffHastingsMcCookColumbus Metro AreaColumbus AreaPlatte CountyPlatteColumbusColumbusGeringBeatriceBlairWahooDouglas PrecinctDouglasGrand IslandNorfolkSidneyNorth Platte PrecinctN PlatteBellevue PrecinctBellevuePlattsmouthFairburyCreteFremontLexingtonHamilton Precinct 44Eleven PrecinctElevenCozadWaverly PrecinctWaverlySouth Sioux CityS Sioux CityNebraska CityBuffalo Precinct 1010SchuylerFalls City8.072048%8.072048%8.1%12116.649475%6.649475%6.6%36125.648106%5.648106%5.6%1,12935.165437%5.165437%5.2%21744.686510%4.686510%4.7%37054.649521%4.649521%4.6%46164.597123%4.597123%4.6%45774.568292%4.568292%4.6%7,65684.253859%4.253859%4.3%12494.132231%4.132231%4.1%165104.059919%4.059919%4.1%11,66511.7k113.969549%3.969549%4.0%219123.872114%3.872114%3.9%109133.841388%3.841388%3.8%124143.559603%3.559603%3.6%86153.361972%3.361972%3.4%90163.336158%3.336158%3.3%7,127,6737.13M3.121989%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%71212.323674%2.323674%2.3%4252.294675%2.294675%2.3%259222.281089%2.281089%2.3%217232.266397%2.266397%2.3%358242.187692%2.187692%2.2%107252.067475%2.067475%2.1%4402.067475%2.067475%2.1%4401.988753%1.988753%2.0%2901.988753%1.988753%2.0%290261.964602%1.964602%2.0%111271.696845%1.696845%1.7%149281.681449%1.681449%1.7%91291.676360%1.676360%1.7%49301.667271%1.667271%1.7%92311.661964%1.661964%1.7%536321.611227%1.611227%1.6%248331.404378%1.404378%1.4%68341.357187%1.357187%1.4%220351.352817%1.352817%1.4%449361.313903%1.313903%1.3%55371.242236%1.242236%1.2%34381.240310%1.240310%1.2%48391.216052%1.216052%1.2%210401.167118%1.167118%1.2%69410.950035%0.950035%1.0%27420.863265%0.863265%0.9%56430.824373%0.824373%0.8%23440.774246%0.774246%0.8%19450.689127%0.689127%0.7%54460.617411%0.617411%0.6%30470.329489%0.329489%0.3%8480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

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 Columbus, selected other county subdivisions in Nebraska, and entities that contain Columbus
Female
Male
10x5x0xFM#1FairburyCreteBlairPlattsmouthMcArdle47JeffersonMelia-Frst CityNorfolkColumbusColumbusFalls CityGrand IslandGeringZIP 68601Columbus AreaPlattePapillion 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-1.000000x2.026915x2.026915x2.03x10.641%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%-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-1.000000x1.323510x1.323510x1.32x10.007%10.0%13.244%13.2%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.277949x1.277949x1.28x1.323%1.32%1.691%1.69%16-1.000000x-1.000000x1.260725x1.260725x1.26x16.224%16.2%20.454%20.5%17-1.000000x-1.000000x1.240747x1.240747x1.24x1.870%1.87%2.320%2.32%18-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%19-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%20-1.000000x-1.000000x1.229773x1.229773x1.23x9.369%9.37%11.522%11.5%21-1.000000x-1.000000x1.212474x1.212474x1.21x42.166%42.2%51.126%51.1%22-1.000000x-1.000000x1.204076x1.204076x1.20x1.224%1.22%1.474%1.47%23-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-1.000000x-1.000000x1.178840x1.178840x1.18x8.299%8.30%9.783%9.78%24-1.000000x-1.000000x1.158189x1.158189x1.16x4.611%4.61%5.341%5.34%25-1.000000x-1.000000x1.143760x1.143760x1.14x9.129%9.13%10.442%10.4%26-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136717x1.136717x1.14x8.642%8.64%9.823%9.82%27-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.078093x1.078093x1.08x11.134%11.1%12.003%12.0%28-1.000000x-1.000000x1.076953x1.076953x1.08x6.148%6.15%6.621%6.62%29-1.000000x-1.000000x1.068696x1.068696x1.07x43.310%43.3%46.285%46.3%30-1.000000x-1.000000x1.051358x1.051358x1.05x12.289%12.3%12.920%12.9%31-1.000000x-1.000000x1.049479x1.049479x1.05x14.153%14.2%14.853%14.9%32-1.000000x-1.000000x1.022054x1.022054x1.02x9.525%9.52%9.735%9.73%33-1.013683x-1.013683x1.01x1.000000x1.000000x10.615%10.6%10.472%10.5%34-1.032002x-1.032002x1.03x1.000000x1.000000x6.348%6.35%6.151%6.15%35-1.118500x-1.118500x1.12x1.000000x1.000000x2.382%2.38%2.130%2.13%36-1.176445x-1.176445x1.18x1.000000x1.000000x9.645%9.65%8.199%8.20%37-1.217855x-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#37

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 Columbus, selected other county subdivisions in Nebraska, and entities that contain Columbus
Female
Male
10x5x0x5x10xFM#4CozadBeatriceS Sioux City7GeringFairburyLa VisPapillion 2nd IINorfolkHastingsFremontMillardPlattsmouthLexingtonScottsbluffSewardBellevue 2nd IIIYorkZIP 68601ColumbusColumbusN PlatteWaverlyColumbus AreaPlatteMcArdleNebraska1OmahaBellevue 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%2.050%2.05%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.758%1.76%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.086%0.09%3.528%3.53%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.095%0.09%1.382%1.38%4-1.000000x-1.000000x4.842798x4.842798x4.84x2.831%2.83%13.712%13.7%5-1.000000x-1.000000x4.074718x4.074718x4.07x0.803%0.80%3.271%3.27%6-1.000000x-1.000000x4.017361x4.017361x4.02x0.529%0.53%2.124%2.12%7-1.000000x-1.000000x3.949116x3.949116x3.95x0.952%0.95%3.758%3.76%8-1.000000x-1.000000x3.395378x3.395378x3.40x1.979%1.98%6.719%6.72%9-1.000000x-1.000000x3.205458x3.205458x3.21x0.784%0.78%2.514%2.51%10-1.000000x-1.000000x3.118254x3.118254x3.12x1.114%1.11%3.473%3.47%11-1.000000x-1.000000x2.874950x2.874950x2.87x0.646%0.65%1.857%1.86%12-1.000000x-1.000000x2.873188x2.873188x2.87x3.503%3.50%10.065%10.1%13-1.000000x-1.000000x2.873132x2.873132x2.87x0.675%0.68%1.940%1.94%14-1.000000x-1.000000x2.673132x2.673132x2.67x0.627%0.63%1.677%1.68%15-1.000000x-1.000000x2.637330x2.637330x2.64x1.309%1.31%3.451%3.45%16-1.000000x-1.000000x2.498867x2.498867x2.50x2.981%2.98%7.449%7.45%17-1.000000x-1.000000x2.487434x2.487434x2.49x1.360%1.36%3.382%3.38%18-1.000000x-1.000000x2.244581x2.244581x2.24x1.968%1.97%4.417%4.42%19-1.000000x-1.000000x2.228871x2.228871x2.23x1.443%1.44%3.217%3.22%-1.000000x-1.000000x2.216284x2.216284x2.22x1.244%1.24%2.756%2.76%-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-1.000000x2.092596x2.092596x2.09x1.339%1.34%2.802%2.80%-1.000000x-1.000000x2.092596x2.092596x2.09x1.339%1.34%2.802%2.80%-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 Columbus to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Columbus. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipColumbusColumbusOmahaBloomingdale TownshipBloomingdaleZIP Code 68601ZIP 68601ColumbusMaine TownshipMaineTopekaColumbus Metro AreaColumbus AreaPlatte CountyPlatteMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsNebraskaWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork 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%15,16315.2k2412.234261%12.234261%12.2%1,78412.234261%12.234261%12.2%1,78412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.612903%11.612903%11.6%2,12411.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.976412%10.976412%11.0%2,33610.976412%10.976412%11.0%2,33610.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralNebraskaMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthZIP Code 68601ZIP 68601MilwaukeeColumbusColumbusRockford TownshipRockfordColumbus Metro AreaColumbus AreaPlatte CountyPlatteAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M29.984843%29.984843%30.0%366,783367k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.613997%23.613997%23.6%4,31923.517740%23.517740%23.5%85,81285.8k3622.123166%22.123166%22.1%3,22622.123166%22.123166%22.1%3,22621.592552%21.592552%21.6%25,23525.2k3721.393666%21.393666%21.4%4,55321.393666%21.393666%21.4%4,55320.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
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#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
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 TownshipSchaumburgWichitaZIP Code 68601ZIP 68601Proviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleColumbus Metro AreaColumbus AreaPlatte CountyPlatteRockford TownshipRockfordMilwaukeeColumbusColumbusWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%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%6,260322.323674%2.323674%2.3%4252.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067475%2.067475%2.1%4402.067475%2.067475%2.1%4402.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.988753%1.988753%2.0%2901.988753%1.988753%2.0%2901.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

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 Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
Female
Male
1x0x1xFM#ColumbusColumbusZIP 68601Columbus AreaPlatteCedar RapidsLincolnDetroitOmahaToledoThorntonNebraskaKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.400294x1.400294x1.40x10.219%10.2%14.310%14.3%-1.000000x-1.000000x1.400294x1.400294x1.40x10.219%10.2%14.310%14.3%-1.000000x-1.000000x1.323510x1.323510x1.32x10.007%10.0%13.244%13.2%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-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#42

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 Columbus, selected other county subdivisions in the Midwest, and entities that contain Columbus
Female
Male
1x0x1x2xFM#ZIP 68601ColumbusColumbusRockfordNColumbus AreaPlatteDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheNebraskaOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.228871x2.228871x2.23x1.443%1.44%3.217%3.22%-1.000000x-1.000000x2.216284x2.216284x2.22x1.244%1.24%2.756%2.76%-1.000000x-1.000000x2.216284x2.216284x2.22x1.244%1.24%2.756%2.76%-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-1.000000x2.092596x2.092596x2.09x1.339%1.34%2.802%2.80%-1.000000x-1.000000x2.092596x2.092596x2.09x1.339%1.34%2.802%2.80%-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 Columbus to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Columbus. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
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 FranciscoTucsonColumbusColumbusAlbuquerqueZIP Code 68601ZIP 68601Township 1:Charlotte1, CharlotteColumbusTulsaColumbus Metro AreaColumbus AreaPlatte CountyPlatteSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaNebraskaWest North CentralSeattleNortheast TarrantNE TarrantPlanoSeattle 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%70,40970.4k3712.234261%12.234261%12.2%1,78412.234261%12.234261%12.2%1,78412.089143%12.089143%12.1%52,21752.2k3811.612903%11.612903%11.6%2,12411.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.976412%10.976412%11.0%2,33610.976412%10.976412%11.0%2,33610.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.315025%9.315025%9.3%113,944114k9.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralNebraskaBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasZIP Code 68601ZIP 68601MilwaukeeFresnoColumbusColumbusLas VegasColumbus Metro AreaColumbus AreaPlatte CountyPlatteEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.984843%29.984843%30.0%366,783367k29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.613997%23.613997%23.6%4,31923.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4422.123166%22.123166%22.1%3,22622.123166%22.123166%22.1%3,22621.702666%21.702666%21.7%271,037271k4521.393666%21.393666%21.4%4,55321.393666%21.393666%21.4%4,55321.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
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#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
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 VlyOntarioZIP Code 68601ZIP 68601Fort WorthLas VegasColumbus Metro AreaColumbus AreaPlatte CountyPlatteMilwaukeeColumbusColumbusSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%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%9,688412.323674%2.323674%2.3%4252.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.067475%2.067475%2.1%4402.067475%2.067475%2.1%4402.043126%2.043126%2.0%7,455441.988753%1.988753%2.0%2901.988753%1.988753%2.0%2901.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

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 Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
Female
Male
1x0x1xFM#ColumbusColumbusZIP 68601Columbus AreaPlatte1, CharlotteDetroitNebraskaBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.400294x1.400294x1.40x10.219%10.2%14.310%14.3%-1.000000x-1.000000x1.400294x1.400294x1.40x10.219%10.2%14.310%14.3%-1.000000x-1.000000x1.323510x1.323510x1.32x10.007%10.0%13.244%13.2%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.320474x1.320474x1.32x9.465%9.47%12.499%12.5%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.197869x1.197869x1.20x8.492%8.49%10.173%10.2%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-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#47

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 Columbus, selected other county subdivisions in the United States, and entities that contain Columbus
Female
Male
1x0x1x2xFM#ZIP 68601ColumbusColumbusEl PasoColumbus AreaPlatteSalt 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-1.000000x2.228871x2.228871x2.23x1.443%1.44%3.217%3.22%-1.000000x-1.000000x2.216284x2.216284x2.22x1.244%1.24%2.756%2.76%-1.000000x-1.000000x2.216284x2.216284x2.22x1.244%1.24%2.756%2.76%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.092596x2.092596x2.09x1.339%1.34%2.802%2.80%-1.000000x-1.000000x2.092596x2.092596x2.09x1.339%1.34%2.802%2.80%-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.

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State:
Nebraska
County:
Platte
Metro Area:
Columbus Area
City:
Columbus
ZIP Code:
68601
Unified School Districts:
Columbus, Lakeview
Congressional District:
NE-1
State Senate District:
NE-22
Neighboring Townships:
Columbus
Nearby Precincts:
Richland, Shell Creek
Nearby Townships:
Alexis, Bismark, Butler, Grand Prairie, Lost Creek, Loup, Savannah, Shell Creek