Educational Attainment in Butler County, Kansas (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Kansas and Butler County
Butler County
Kansas
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma238.471172%39.753313%38.471172%38.5%16,58816.6k54.292871%50.555471%54.292871%54.3%23,41023.4k7.235957%9.691216%7.235957%7.2%3,120
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 Kansas at large.
Scope: population of Kansas and Butler County
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-3.225243%-3.225243%-3.2%38.471%38.5%39.753%39.8%7.392671%7.392671%+7.4%54.293%54.3%50.555%50.6%-25.334886%-25.334886%-25.3%7.236%7.24%9.691%9.69%
% percentage with given level in Butler County
ref. percentage with given level in Kansas
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 Kansas and Butler County
Butler County
Kansas
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.642423%1.183288%0.642423%0.6%2770.892899%1.836151%0.892899%0.9%3857.950276%8.341252%7.950276%8.0%3,42819.119625%20.249774%19.119625%19.1%8,2449.865949%8.142848%9.865949%9.9%4,25427.728559%23.944008%27.728559%27.7%11,95612.0k26.564312%26.611463%26.564312%26.6%11,45411.5k5.482629%5.903023%5.482629%5.5%2,3641.308038%2.935914%1.308038%1.3%5640.445290%0.852278%0.445290%0.4%192
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 Kansas at large.
Scope: population of Kansas and Butler County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-45.708628%-45.708628%-45.7%0.642%0.64%1.183%1.18%-51.371174%-51.371174%-51.4%0.893%0.89%1.836%1.84%-4.687257%-4.687257%-4.7%7.950%7.95%8.341%8.34%-5.581046%-5.581046%-5.6%19.120%19.1%20.250%20.2%21.160910%21.160910%+21.2%9.866%9.87%8.143%8.14%15.805835%15.805835%+15.8%27.729%27.7%23.944%23.9%-0.177183%-0.177183%-0.2%26.564%26.6%26.611%26.6%-7.121679%-7.121679%-7.1%5.483%5.48%5.903%5.90%-55.446980%-55.446980%-55.4%1.308%1.31%2.936%2.94%-47.753003%-47.753003%-47.8%0.445%0.45%0.852%0.85%
% percentage with given level in Butler County
ref. percentage with given level in Kansas
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 Kansas and Butler County
More Females More Males
Kansas
Butler County
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-11.599449%-7.375163%-11.599449%12%40.553%40.6%36.338%36.3%2.841315%3.191263%2.841315%3%53.542%53.5%55.063%55.1%45.610643%13.607754%45.610643%46%5.906%5.91%8.599%8.60%
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 Kansas and Butler County
More Females More Males
Kansas
Butler County
0%50%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-45.890635%-45.890635%46%52.166262%0.761%0.76%0.521%0.52%113.216607%60.465398%113.216607%113%0.573%0.57%1.221%1.22%-35.649535%-21.707028%-35.649535%36%9.136%9.14%6.735%6.73%-3.102820%-2.455925%-3.102820%3%19.408%19.4%18.824%18.8%-18.138965%-28.959258%-18.138965%18%10.675%10.7%9.036%9.04%-3.047706%2.782712%2.782712%3%27.353%27.4%28.114%28.1%2.902522%9.052875%2.902522%3%26.189%26.2%26.949%26.9%60.892967%15.778580%60.892967%61%4.215%4.22%6.782%6.78%3.237578%8.075102%3.237578%3%1.287%1.29%1.329%1.33%21.145800%18.376050%21.145800%21%0.403%0.40%0.488%0.49%
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 Kansas and Butler County
Butler County
Kansas
0%5%10%15%20%25%B.X.Total65+45-6435-4425-349.621844%14.399546%9.621844%9.6%8889,22920.192201%19.988459%20.192201%20.2%3,63518,00218.0k21.934704%22.970287%21.934704%21.9%1,8148,27025.036103%24.626945%25.036103%25.0%1,9077,617
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 Kansas at large.
Scope: population of Kansas and Butler County
30%20%10%0%%ref.65+45-6435-4425-34-33.179529%-33.179529%33.2%9.622%9.62%14.400%14.4%1.019298%1.019298%1.0%20.192%20.2%19.988%20.0%-4.508359%-4.508359%4.5%21.935%21.9%22.970%23.0%1.661425%1.661425%1.7%25.036%25.0%24.627%24.6%
% percentage in Butler County with a Bachelor's degree
ref percentage in Kansas 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 Kansas and Butler County
More Females More Males
Kansas
Butler County
50%0%50%FM65+45-6435-4425-3476.336798%35.981658%76.336798%76.3%7.187%7.19%12.674%12.7%-2.655725%9.914026%9.914026%9.9%19.234%19.2%21.141%21.1%-26.202607%-15.234631%-26.202607%26.2%24.495%24.5%19.409%19.4%-62.795075%-22.455189%-62.795075%62.8%31.376%31.4%19.273%19.3%
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 Kansas and Butler County
Butler County
Kansas
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$61,936.000000$57,977.000000$61,936.000000$61.9k4,0909.486%9.49%$49,245.000000$46,270.000000$49,245.000000$49.2k8,24419.120%19.1%$33,318.000000$32,416.000000$33,318.000000$33.3k16,21016.2k37.595%37.6%$32,235.000000$28,537.000000$32,235.000000$32.2k11,45411.5k26.564%26.6%$25,602.000000$23,225.000000$25,602.000000$25.6k3,1207.236%7.24%$40,242.000000$36,181.000000$40,242.000000$40.2k43,11843.1k100.000%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 Kansas and Butler County
Female Male
Kansas
Butler County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-51,396.000000$-50,193.000000$-51,396.000000$51.4k$51,396.000000$30,959.000000$50,193.000000$23,988.000000$82,355.000000$82.4k2,2851,805$-39,829.000000$-38,350.000000$-39,829.000000$39.8k$39,829.000000$22,660.000000$38,350.000000$20,328.000000$62,489.000000$62.5k4,2364,008$-24,547.000000$-26,448.000000$-24,547.000000$24.5k$24,547.000000$22,413.000000$26,448.000000$14,489.000000$46,960.000000$47.0k8,3007,910$-19,375.000000$-22,046.000000$-19,375.000000$19.4k$19,375.000000$22,922.000000$22,046.000000$12,676.000000$42,297.000000$42.3k5,7165,738$-12,168.000000$-16,673.000000$-12,168.000000$12.2k$12,168.000000$18,961.000000$16,673.000000$11,123.000000$31,129.000000$31.1k1,2891,831$-27,723.000000$-29,625.000000$-27,723.000000$27.7k$27,723.000000$22,499.000000$29,625.000000$12,859.000000$50,222.000000$50.2k21,82621.8k21,29221.3k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Kansas and Butler County
Butler County
Kansas
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma351.190476%36.048527%51.190476%51.2%4339.285714%47.295448%39.285714%39.3%339.523810%15.926298%9.523810%9.5%80.000000%0.000000%0.0%0.729727%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Kansas and Butler County
Butler County
Kansas
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.183820%85.422439%85.183820%85.2%9,24579.178145%77.879022%79.178145%79.2%10,34710.3k64.336463%70.975993%64.336463%64.3%5,07141.658677%59.590418%41.658677%41.7%869
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Kansas and Butler County
Female Male
Kansas
Butler County
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-5.473467%-6.002816%-5.473467%5.5%5.473467%1.266069%6.002816%0.671379%6.739536%6.7%1,3011,115-19.004525%-12.080873%-19.004525%19.0%19.004525%13.432184%12.080873%1.436341%32.436709%32.4%20542-10.734463%-15.010196%-3.383953%-10.734463%10.7%10.734463%15.547588%15.010196%26.282051%26.3%4119-12.500000%-36.334114%-12.500000%12.5%12.500000%20.676471%36.334114%3.625165%33.176471%33.2%28274-7.203390%-3.722536%-23.228405%-10.925926%10.9%7.203390%23.228405%2.858450%7.203390%7.2%3459
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Kansas and Butler County
Female Male
Kansas
Butler County
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-28.128885%-1.889278%-33.850189%-0.355200%-30.018163%30.0%28.128885%33.850189%28.128885%28.1%5,4306,115-13.607595%-25.306432%-17.743824%-2.550441%-38.914027%38.9%13.607595%17.743824%13.607595%13.6%8686-43.502825%-45.675231%-43.502825%43.5%43.502825%3.292047%45.675231%6.767362%46.794872%46.8%7377-20.608108%-11.732554%-1.530063%-20.608108%20.6%20.608108%0.450715%11.732554%21.058824%21.1%179122-15.254237%-8.819837%-16.189340%-2.327245%-24.074074%24.1%15.254237%16.189340%15.254237%15.3%72130
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Butler County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
8%19%29%40%50%61%

Coarse: High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
25%37%48%59%70%82%

Coarse: No High School Diploma Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%11%17%23%29%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.45%0.89%1.34%1.79%2.24%

Detailed: Professional Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.2%2.4%3.7%4.9%6.2%

Detailed: Master's Degree Educational Attainment by County Subdivision#21

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.3%6.5%9.8%13.1%16.4%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
0%12%24%36%48%61%

Detailed: Associate's Degree Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.1%6.1%9.2%12.3%15.4%

Detailed: Some College Educational Attainment by County Subdivision#24

Percentage of the population 25 years and older with given highest level of educational attainment
13%22%32%41%50%60%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#25

Percentage of the population 25 years and older with given highest level of educational attainment
7%18%28%38%49%59%

Detailed: Some High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.8%9.5%14.3%19.0%23.9%

Detailed: Less than High School Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.5%7.0%10.5%14.1%17.6%

Detailed: None Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.32%0.63%0.95%1.26%1.58%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Butler County

Coarse: Post-Secondary Degree Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
22%29%35%42%48%55%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
41.8%46.8%51.7%56.7%61.6%66.6%

Coarse: No High School Diploma Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
3.0%5.4%7.8%10.2%12.6%15.0%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.1%1.6%2.2%2.7%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.47%0.94%1.41%1.88%2.35%

Detailed: Master's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
2.7%4.9%7.0%9.2%11.4%13.6%

Detailed: Bachelor's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
11.7%15.1%18.5%21.9%25.3%28.8%

Detailed: Associate's Degree Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
6.7%8.8%10.9%12.9%14.9%17.0%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
20.4%22.9%25.3%27.7%30.1%32.6%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
12%18%24%30%36%42%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
2.3%4.4%6.5%8.5%10.6%12.7%

Detailed: Less than High School Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%1.1%1.9%2.7%3.4%4.3%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.48%0.96%1.44%1.93%2.41%
Road Data ©OpenStreetMap

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Educational Attainment by Place in Butler County

There are 14 places that are fully or partially contained within Butler County (13 fully and 1 partially). This section compares all 14 of those to each other, Butler County, and other entities that contain or substantially overlap with Butler County.

No H.S. Diploma by Place#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected places in Butler County, and entities that contain Butler County
0%5%10%15%Count#RosaliaUnited States of AmericaUnited StatesLeonLathamWichita Metro AreaWichita AreaMidwestAugustaKansasDouglassWest North CentralEl DoradoButler CountyButlerRose HillWhitewaterCassodayPotwinTowandaAndoverBentonElbing19.148936%19.148936%19.1%18113.020590%13.020590%13.0%27,818,38027.8M12.534819%12.534819%12.5%45211.111111%11.111111%11.1%9310.404141%10.404141%10.4%42,95143.0k10.244520%10.244520%10.2%4,641,8354.64M10.146444%10.146444%10.1%58249.691216%9.691216%9.7%182,049182k9.278351%9.278351%9.3%10859.174633%9.174633%9.2%1,278,0511.28M8.221457%8.221457%8.2%69267.235957%7.235957%7.2%3,1207.131902%7.131902%7.1%18676.438632%6.438632%6.4%3286.329114%6.329114%6.3%595.303030%5.303030%5.3%14104.274611%4.274611%4.3%33113.470368%3.470368%3.5%260122.377179%2.377179%2.4%15131.058201%1.058201%1.1%214
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected places in Butler County, and entities that contain Butler County
0%10%20%30%40%Count#AndoverBentonElbingKansasWhitewaterUnited States of AmericaUnited StatesWest North CentralWichita Metro AreaWichita AreaMidwestButler CountyButlerRose HillAugustaEl DoradoDouglassTowandaRosaliaCassodayLeonPotwinLatham46.089162%46.089162%46.1%3,453136.767036%36.767036%36.8%232235.978836%35.978836%36.0%68331.610465%31.610465%31.6%593,801594k30.583501%30.583501%30.6%152430.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.268021%29.268021%29.3%120,826121k28.952816%28.952816%29.0%13,118,64213.1M28.605223%28.605223%28.6%12,33412.3k27.262270%27.262270%27.3%711522.960251%22.960251%23.0%1,317621.527860%21.527860%21.5%1,812721.048110%21.048110%21.0%245817.227979%17.227979%17.2%133912.765957%12.765957%12.8%121012.658228%12.658228%12.7%10117.520891%7.520891%7.5%27127.196970%7.196970%7.2%19130.000000%0.000000%0.0%014
Count number of people in category
# rank of place out of 14 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected places in Butler County, and entities that contain Butler County
0%1%2%3%4%Count#AndoverUnited States of AmericaUnited StatesElbingKansasWest North CentralMidwestBentonWichita Metro AreaWichita AreaWhitewaterButler CountyButlerRose HillEl DoradoAugustaTowandaDouglassLeonPotwinRosaliaLathamCassoday4.364656%4.364656%4.4%32713.336158%3.336158%3.3%7,127,6737.13M3.174603%3.174603%3.2%623.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.377179%2.377179%2.4%1532.227815%2.227815%2.2%9,1972.213280%2.213280%2.2%1141.535322%1.535322%1.5%6621.150307%1.150307%1.2%3050.796008%0.796008%0.8%6760.261506%0.261506%0.3%1570.259067%0.259067%0.3%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%014
Count number of people in category
# rank of place out of 14 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 Place#45

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 Butler County, selected places in Butler County, and entities that contain Butler County
Female
Male
0x5x10xFM#ElbingLathamBentonWhitewaterCassodayRosaliaRose HillButlerEl DoradoWest North CentralKansasTowandaMidwestUnited StatesWichita AreaDouglassPotwinAndoverAugustaLeon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.980%1.98%1-1.000000x-1.000000x7.804878x7.804878x7.80x2.500%2.50%19.512%19.5%2-1.000000x-1.000000x2.976898x2.976898x2.98x1.220%1.22%3.630%3.63%3-1.000000x-1.000000x2.163090x2.163090x2.16x4.167%4.17%9.013%9.01%4-1.000000x-1.000000x1.791667x1.791667x1.79x4.651%4.65%8.333%8.33%5-1.000000x-1.000000x1.571429x1.571429x1.57x14.894%14.9%23.404%23.4%6-1.000000x-1.000000x1.462439x1.462439x1.46x5.835%5.83%8.533%8.53%7-1.000000x-1.000000x1.456106x1.456106x1.46x5.906%5.91%8.599%8.60%-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%6.93%9.775%9.78%8-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.128875x1.128875x1.13x4.038%4.04%4.558%4.56%9-1.000000x-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-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.085474x-1.085474x1.09x1.000000x1.000000x9.631%9.63%8.872%8.87%10-1.477241x-1.477241x1.48x1.000000x1.000000x6.207%6.21%4.202%4.20%11-1.513803x-1.513803x1.51x1.000000x1.000000x4.115%4.12%2.718%2.72%12-1.534357x-1.534357x1.53x1.000000x1.000000x12.019%12.0%7.833%7.83%13-1.637908x-1.637908x1.64x1.000000x1.000000x15.556%15.6%9.497%9.50%14
F percentage of females in category
M percentage of males in category
# rank of place out of 14 by male-to-female sex ratio

Over-Education Sex Ratio by Place#46

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 Butler County, selected places in Butler County, and entities that contain Butler County
Female
Male
0x5x10xFM#AugustaTowandaEl DoradoWichita AreaElbingMidwestWest North CentralKansasUnited StatesButlerAndoverBentonRose HillWhitewater-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.585%0.58%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.570%0.57%2-1.000000x-1.000000x2.295552x2.295552x2.30x0.501%0.50%1.150%1.15%3-1.000000x-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-1.000000x-1.000000x1.742574x1.742574x1.74x2.273%2.27%3.960%3.96%4-1.000000x-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-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.306889x1.306889x1.31x1.333%1.33%1.742%1.74%-1.000000x-1.000000x1.051270x1.051270x1.05x4.264%4.26%4.482%4.48%5-1.385671x-1.385671x1.39x1.000000x1.000000x2.744%2.74%1.980%1.98%6-1.599705x-1.599705x1.60x1.000000x1.000000x1.403%1.40%0.877%0.88%7-3.971591x-3.971591x3.97x1.000000x1.000000x3.409%3.41%0.858%0.86%8
F percentage of females in category
M percentage of males in category
# rank of place out of 8 by male-to-female sex ratio

Educational Attainment by County Subdivision in Butler County

There are 31 county subdivisions in Butler County. This section compares all 31 of those to each other, Butler County, and other entities that contain or substantially overlap with Butler County.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
0%10%20%Count#Lincoln TownshipLincolnLogan TownshipLoganProspect TownshipProspectUnited States of AmericaUnited StatesEl Dorado TownshipEl DoradoMurdock TownshipMurdockLittle Walnut TownshipLittle WalnutUnion TownshipUnionClifford TownshipCliffordWichita Metro AreaWichita AreaRosalia TownshipRosaliaMidwestAugustaKansasMilton TownshipMiltonWest North CentralEl DoradoDouglass TownshipDouglassRock Creek TownshipRock CrkButler CountyButlerRichland TownshipRichlandWalnut TownshipWalnutChelsea TownshipChelseaFairmount TownshipFairmountPleasant TownshipPleasantPlum Grove TownshipPlum GrvTowanda TownshipTowandaSpring TownshipSpgBruno TownshipBrunoFairview TownshipFairviewAugusta TownshipAugustaSycamore TownshipSycamoreBenton TownshipBentonBloomington TownshipBloomingtonGlencoe TownshipGlencoeHickory TownshipHickoryClay Township28.484848%28.484848%28.5%47123.809524%23.809524%23.8%20222.504990%22.504990%22.5%451313.020590%13.020590%13.0%27,818,38027.8M12.891344%12.891344%12.9%70412.169312%12.169312%12.2%23511.954993%11.954993%12.0%85611.111111%11.111111%11.1%9710.884354%10.884354%10.9%16810.404141%10.404141%10.4%42,95143.0k10.344828%10.344828%10.3%48910.244520%10.244520%10.2%4,641,8354.64M10.146444%10.146444%10.1%582109.691216%9.691216%9.7%182,049182k9.244992%9.244992%9.2%60119.174633%9.174633%9.2%1,278,0511.28M8.221457%8.221457%8.2%692127.858546%7.858546%7.9%120137.633588%7.633588%7.6%10147.235957%7.235957%7.2%3,1207.116883%7.116883%7.1%137155.853659%5.853659%5.9%36165.263158%5.263158%5.3%10174.301075%4.301075%4.3%16184.135894%4.135894%4.1%140194.117647%4.117647%4.1%14204.052288%4.052288%4.1%62213.890641%3.890641%3.9%37223.841537%3.841537%3.8%352233.834808%3.834808%3.8%13243.674280%3.674280%3.7%37252.952030%2.952030%3.0%8261.646904%1.646904%1.6%25270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%031
Count number of people in category
# rank of county subdivision out of 31 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
0%20%40%60%Count#Murdock TownshipMurdockRock Creek TownshipRock CrkFairmount TownshipFairmountBruno TownshipBrunoLincoln TownshipLincolnFairview TownshipFairviewMilton TownshipMiltonBenton TownshipBentonPleasant TownshipPleasantSycamore TownshipSycamoreBloomington TownshipBloomingtonKansasUnited States of AmericaUnited StatesAugusta TownshipAugustaWest North CentralHickory TownshipHickoryWichita Metro AreaWichita AreaMidwestButler CountyButlerRichland TownshipRichlandSpring TownshipSpgTowanda TownshipTowandaClay TownshipAugustaEl DoradoDouglass TownshipDouglassEl Dorado TownshipEl DoradoWalnut TownshipWalnutGlencoe TownshipGlencoeChelsea TownshipChelseaPlum Grove TownshipPlum GrvLittle Walnut TownshipLittle WalnutRosalia TownshipRosaliaLogan TownshipLoganClifford TownshipCliffordProspect TownshipProspectUnion TownshipUnion60.317460%60.317460%60.3%114150.381679%50.381679%50.4%66245.698925%45.698925%45.7%170343.599258%43.599258%43.6%3,995440.606061%40.606061%40.6%67539.233038%39.233038%39.2%133638.828968%38.828968%38.8%252738.669302%38.669302%38.7%587833.500739%33.500739%33.5%1,134932.472325%32.472325%32.5%881032.227488%32.227488%32.2%1361131.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.089374%30.089374%30.1%3031230.056536%30.056536%30.1%4,186,9564.19M29.629630%29.629630%29.6%161329.268021%29.268021%29.3%120,826121k28.952816%28.952816%29.0%13,118,64213.1M28.605223%28.605223%28.6%12,33412.3k27.220779%27.220779%27.2%5241426.813880%26.813880%26.8%2551526.274510%26.274510%26.3%4021623.913043%23.913043%23.9%111722.960251%22.960251%23.0%1,3171821.527860%21.527860%21.5%1,8121920.825147%20.825147%20.8%3182018.968692%18.968692%19.0%1032118.536585%18.536585%18.5%1142218.309859%18.309859%18.3%262317.894737%17.894737%17.9%342415.000000%15.000000%15.0%512513.783404%13.783404%13.8%982612.068966%12.068966%12.1%562711.904762%11.904762%11.9%10289.523810%9.523810%9.5%14296.387226%6.387226%6.4%128300.000000%0.000000%0.0%031
Count number of people in category
# rank of county subdivision out of 31 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
0%1%2%3%4%5%6%Count#Rock Creek TownshipRock CrkBenton TownshipBentonFairmount TownshipFairmountBruno TownshipBrunoUnited States of AmericaUnited StatesKansasWest North CentralMidwestPleasant TownshipPleasantWichita Metro AreaWichita AreaMilton TownshipMiltonChelsea TownshipChelseaRichland TownshipRichlandButler CountyButlerEl Dorado TownshipEl DoradoSycamore TownshipSycamoreEl DoradoTowanda TownshipTowandaProspect TownshipProspectAugustaDouglass TownshipDouglassAugusta TownshipAugustaSpring TownshipSpgLittle Walnut TownshipLittle WalnutWalnut TownshipWalnutBloomington TownshipBloomingtonRosalia TownshipRosaliaPlum Grove TownshipPlum GrvFairview TownshipFairviewMurdock TownshipMurdockClifford TownshipCliffordLincoln TownshipLincolnGlencoe TownshipGlencoeUnion TownshipUnionLogan TownshipLoganHickory TownshipHickoryClay Township6.106870%6.106870%6.1%815.138340%5.138340%5.1%7824.569892%4.569892%4.6%1733.350431%3.350431%3.4%30743.336158%3.336158%3.3%7,127,6737.13M3.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.836041%2.836041%2.8%9652.227815%2.227815%2.2%9,1971.694915%1.694915%1.7%1161.578947%1.578947%1.6%371.558442%1.558442%1.6%3081.535322%1.535322%1.5%6621.289134%1.289134%1.3%791.107011%1.107011%1.1%3100.796008%0.796008%0.8%67110.718954%0.718954%0.7%11120.449102%0.449102%0.4%9130.261506%0.261506%0.3%15140.000000%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%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%031
Count number of people in category
# rank of county subdivision out of 31 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#50

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 Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
Female
Male
0x5x10xFM#El DoradoFairviewMurdockLoganUnionProspectMiltonAugustaTowandaSycamoreRichlandChelseaLincolnRosaliaPleasantButlerEl DoradoWest North CentralKansasMidwestUnited StatesWichita AreaCliffordBrunoDouglassWalnutBentonRock CrkFairmountAugustaPlum GrvLittle WalnutSpg-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%21.148%21.1%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.345%7.34%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%20.354%20.4%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%48.780%48.8%4-1.000000x-1.000000x7.804878x7.804878x7.80x2.500%2.50%19.512%19.5%5-1.000000x-1.000000x7.542485x7.542485x7.54x3.590%3.59%27.076%27.1%6-1.000000x-1.000000x4.523715x4.523715x4.52x3.364%3.36%15.217%15.2%7-1.000000x-1.000000x3.312374x3.312374x3.31x1.595%1.59%5.282%5.28%8-1.000000x-1.000000x2.767380x2.767380x2.77x2.174%2.17%6.016%6.02%9-1.000000x-1.000000x2.765957x2.765957x2.77x1.538%1.54%4.255%4.26%10-1.000000x-1.000000x2.281426x2.281426x2.28x4.316%4.32%9.846%9.85%11-1.000000x-1.000000x1.696970x1.696970x1.70x3.750%3.75%6.364%6.36%12-1.000000x-1.000000x1.670782x1.670782x1.67x21.429%21.4%35.802%35.8%13-1.000000x-1.000000x1.621287x1.621287x1.62x7.950%7.95%12.889%12.9%14-1.000000x-1.000000x1.545708x1.545708x1.55x3.270%3.27%5.055%5.05%15-1.000000x-1.000000x1.456106x1.456106x1.46x5.906%5.91%8.599%8.60%-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%6.93%9.775%9.78%16-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-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-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.013699x-1.013699x1.01x1.000000x1.000000x10.959%11.0%10.811%10.8%17-1.021682x-1.021682x1.02x1.000000x1.000000x3.880%3.88%3.798%3.80%18-1.071161x-1.071161x1.07x1.000000x1.000000x8.115%8.11%7.576%7.58%19-1.091773x-1.091773x1.09x1.000000x1.000000x6.137%6.14%5.621%5.62%20-1.118362x-1.118362x1.12x1.000000x1.000000x1.733%1.73%1.549%1.55%21-1.147541x-1.147541x1.15x1.000000x1.000000x8.197%8.20%7.143%7.14%22-1.188235x-1.188235x1.19x1.000000x1.000000x4.706%4.71%3.960%3.96%23-1.534357x-1.534357x1.53x1.000000x1.000000x12.019%12.0%7.833%7.83%24-1.737572x-1.737572x1.74x1.000000x1.000000x5.202%5.20%2.994%2.99%25-2.301373x-2.301373x2.30x1.000000x1.000000x16.714%16.7%7.263%7.26%26-2.665040x-2.665040x2.67x1.000000x1.000000x5.817%5.82%2.183%2.18%27
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 27 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

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 Butler County, selected county subdivisions in Butler County, and entities that contain Butler County
Female
Male
10x5x0x5x10xFM#AugustaTowandaEl DoradoSycamoreChelseaBentonEl DoradoPleasantWichita AreaMidwestWest North CentralKansasUnited StatesButlerBrunoFairmountMiltonProspectRichlandRock Crk-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.585%0.58%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.471%1.47%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.115%2.11%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.128%2.13%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.727%2.73%5-1.000000x-1.000000x3.300282x3.300282x3.30x2.475%2.48%8.169%8.17%6-1.000000x-1.000000x2.295552x2.295552x2.30x0.501%0.50%1.150%1.15%7-1.000000x-1.000000x2.026520x2.026520x2.03x1.893%1.89%3.837%3.84%8-1.000000x-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-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-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.306889x1.306889x1.31x1.333%1.33%1.742%1.74%-1.000000x-1.000000x1.187864x1.187864x1.19x3.079%3.08%3.658%3.66%9-3.861765x-3.861765x3.86x1.000000x1.000000x7.647%7.65%1.980%1.98%10-4.431193x-4.431193x4.43x1.000000x1.000000x2.752%2.75%0.621%0.62%11-5.173077x-5.173077x5.17x1.000000x1.000000x1.282%1.28%0.248%0.25%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.158%3.16%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x13.115%13.1%0.000%0%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

Educational Attainment by County in the Wichita Area

There are 5 counties in the Wichita Area. This section compares Butler County to all of the counties in the Wichita Area and to those entities that contain or substantially overlap with Butler County.

No H.S. Diploma by County#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected other counties in the Wichita Area, and entities that contain Butler County
0%5%10%Count#United States of AmericaUnited StatesSedgwick CountySedgwickWichita Metro AreaWichita AreaMidwestKansasHarvey CountyHarveyWest North CentralSumner CountySumnerKingman CountyKingmanButler CountyButler13.020590%13.020590%13.0%27,818,38027.8M11.017004%11.017004%11.0%35,86235.9k110.404141%10.404141%10.4%42,95143.0k10.244520%10.244520%10.2%4,641,8354.64M9.691216%9.691216%9.7%182,049182k9.321960%9.321960%9.3%2,14229.174633%9.174633%9.2%1,278,0511.28M8.732073%8.732073%8.7%1,37638.264614%8.264614%8.3%45147.235957%7.235957%7.2%3,1205
Count number of people in category
# rank of county out of 5 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected other counties in the Wichita Area, and entities that contain Butler County
0%10%20%30%Count#KansasUnited States of AmericaUnited StatesWest North CentralSedgwick CountySedgwickWichita Metro AreaWichita AreaMidwestButler CountyButlerHarvey CountyHarveyKingman CountyKingmanSumner CountySumner31.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.041319%30.041319%30.0%97,78997.8k129.268021%29.268021%29.3%120,826121k28.952816%28.952816%29.0%13,118,64213.1M28.605223%28.605223%28.6%12,33412.3k227.678649%27.678649%27.7%6,360323.474437%23.474437%23.5%1,281419.431400%19.431400%19.4%3,0625
Count number of people in category
# rank of county out of 5 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected other counties in the Wichita Area, and entities that contain Butler County
0%1%2%3%Count#United States of AmericaUnited StatesKansasWest North CentralMidwestSedgwick CountySedgwickHarvey CountyHarveyWichita Metro AreaWichita AreaButler CountyButlerSumner CountySumnerKingman CountyKingman3.336158%3.336158%3.3%7,127,6737.13M3.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.387601%2.387601%2.4%7,77212.241274%2.241274%2.2%51522.227815%2.227815%2.2%9,1971.535322%1.535322%1.5%66231.262851%1.262851%1.3%19940.897929%0.897929%0.9%495
Count number of people in category
# rank of county out of 5 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#55

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 Butler County, selected other counties in the Wichita Area, and entities that contain Butler County
Female
Male
2x1x0x1xFM#ButlerHarveyWest North CentralKansasMidwestUnited StatesSedgwickWichita AreaSumnerKingman-1.000000x-1.000000x1.456106x1.456106x1.46x5.906%5.91%8.599%8.60%1-1.000000x-1.000000x1.148289x1.148289x1.15x8.705%8.71%9.996%10.00%2-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-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-1.000000x1.067656x1.067656x1.07x10.667%10.7%11.389%11.4%3-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.501700x-1.501700x1.50x1.000000x1.000000x10.458%10.5%6.964%6.96%4-2.746918x-2.746918x2.75x1.000000x1.000000x12.010%12.0%4.372%4.37%5
F percentage of females in category
M percentage of males in category
# rank of county out of 5 by male-to-female sex ratio

Over-Education Sex Ratio by County#56

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 Butler County, selected other counties in the Wichita Area, and entities that contain Butler County
Female
Male
1x0x1x2x3x4xFM#KingmanSedgwickWichita AreaMidwestWest North CentralKansasUnited StatesHarveyButlerSumner-1.000000x-1.000000x4.053027x4.053027x4.05x0.360%0.36%1.457%1.46%1-1.000000x-1.000000x1.835442x1.835442x1.84x1.699%1.70%3.119%3.12%2-1.000000x-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-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-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502165x1.502165x1.50x1.808%1.81%2.716%2.72%3-1.000000x-1.000000x1.306889x1.306889x1.31x1.333%1.33%1.742%1.74%4-1.000000x-1.000000x1.191735x1.191735x1.19x1.154%1.15%1.375%1.37%5
F percentage of females in category
M percentage of males in category
# rank of county out of 5 by male-to-female sex ratio

Educational Attainment by County in Kansas

There are 105 counties in Kansas. This section compares Butler County to the 50 most populous counties in Kansas and to those entities that contain or substantially overlap with Butler County. The least populous of the compared counties has a population of 7,793.

No H.S. Diploma by County#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected other counties in Kansas, and entities that contain Butler County
0%10%20%30%Count#Seward CountySewardFord CountyFordFinney CountyFinneyWyandotte CountyWyandotteBarton CountyBartonUnited States of AmericaUnited StatesWilson CountyWilsonCherokee CountyCherokeeLabette CountyLabetteReno CountyRenoRice CountyRiceLyon CountyLyonLinn CountyLinnSedgwick CountySedgwickMontgomery CountyMontgomeryCowley CountyCowleyDickinson CountyDickinsonWichita Metro AreaWichita AreaMidwestSaline CountySalineMarion CountyMarionCrawford CountyCrawfordKansasAllen CountyAllenBourbon CountyBourbonPratt CountyPrattHarvey CountyHarveyDoniphan CountyDoniphanWest North CentralAnderson CountyAndersonOsage CountyOsageMcPherson CountyMcPhersonShawnee CountyShawneeSumner CountySumnerGeary CountyGearyNeosho CountyNeoshoLeavenworth CountyLeavenworthNemaha CountyNemahaFranklin CountyFranklinCloud CountyCloudJefferson CountyJeffersonAtchison CountyAtchisonCoffey CountyCoffeyButler CountyButlerBrown CountyBrownEllis CountyEllisClay CountyClayMarshall CountyMarshallJackson CountyJacksonMiami CountyMiamiDouglas CountyDouglasThomas CountyThomasPottawatomie CountyPottawatomieRiley CountyRileyJohnson CountyJohnson34.667273%34.667273%34.7%4,574128.780632%28.780632%28.8%5,837227.853330%27.853330%27.9%6,001321.898364%21.898364%21.9%22,23122.2k413.225505%13.225505%13.2%2,404513.020590%13.020590%13.0%27,818,38027.8M12.994532%12.994532%13.0%808612.793477%12.793477%12.8%1,820712.540763%12.540763%12.5%1,769812.473490%12.473490%12.5%5,411911.285266%11.285266%11.3%7201011.070554%11.070554%11.1%2,2141111.036339%11.036339%11.0%7381211.017004%11.017004%11.0%35,86235.9k1310.978626%10.978626%11.0%2,4861410.926092%10.926092%10.9%2,5591510.840393%10.840393%10.8%1,4461610.404141%10.404141%10.4%42,95143.0k10.244520%10.244520%10.2%4,641,8354.64M10.103902%10.103902%10.1%3,705179.972661%9.972661%10.0%839189.913628%9.913628%9.9%2,330199.691216%9.691216%9.7%182,049182k9.576406%9.576406%9.6%841209.537754%9.537754%9.5%912219.402655%9.402655%9.4%595229.321960%9.321960%9.3%2,142239.302326%9.302326%9.3%480249.174633%9.174633%9.2%1,278,0511.28M9.146911%9.146911%9.1%490258.968773%8.968773%9.0%988268.968542%8.968542%9.0%1,779278.891003%8.891003%8.9%10,65410.7k288.732073%8.732073%8.7%1,376298.706062%8.706062%8.7%1,709308.619572%8.619572%8.6%931318.532565%8.532565%8.5%4,529328.519781%8.519781%8.5%575338.125479%8.125479%8.1%1,378347.983261%7.983261%8.0%496357.687049%7.687049%7.7%1,012367.398034%7.398034%7.4%760377.265388%7.265388%7.3%432387.235957%7.235957%7.2%3,120397.101124%7.101124%7.1%474406.685316%6.685316%6.7%1,171416.163674%6.163674%6.2%357426.088561%6.088561%6.1%429435.325312%5.325312%5.3%478445.310904%5.310904%5.3%1,165454.952705%4.952705%5.0%3,262464.716607%4.716607%4.7%238474.646156%4.646156%4.6%669484.401418%4.401418%4.4%1,639494.246543%4.246543%4.2%16,27716.3k50
Count number of people in category
# rank of county 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#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected other counties in Kansas, and entities that contain Butler County
0%10%20%30%40%50%Count#Johnson CountyJohnsonDouglas CountyDouglasRiley CountyRileyEllis CountyEllisPottawatomie CountyPottawatomieKansasUnited States of AmericaUnited StatesWest North CentralLeavenworth CountyLeavenworthSedgwick CountySedgwickWichita Metro AreaWichita AreaShawnee CountyShawneeMidwestButler CountyButlerThomas CountyThomasCrawford CountyCrawfordMcPherson CountyMcPhersonHarvey CountyHarveyLyon CountyLyonPratt CountyPrattClay CountyClayMiami CountyMiamiSaline CountySalineMarion CountyMarionRice CountyRiceNemaha CountyNemahaBourbon CountyBourbonCoffey CountyCoffeyJefferson CountyJeffersonGeary CountyGearyJackson CountyJacksonCloud CountyCloudBrown CountyBrownOsage CountyOsageFranklin CountyFranklinAtchison CountyAtchisonDickinson CountyDickinsonSumner CountySumnerCowley CountyCowleyReno CountyRenoAnderson CountyAndersonNeosho CountyNeoshoFinney CountyFinneyCherokee CountyCherokeeAllen CountyAllenLabette CountyLabetteMarshall CountyMarshallFord CountyFordMontgomery CountyMontgomeryDoniphan CountyDoniphanBarton CountyBartonWyandotte CountyWyandotteLinn CountyLinnWilson CountyWilsonSeward CountySeward53.580746%53.580746%53.6%205,375205k149.700135%49.700135%49.7%32,73432.7k246.022880%46.022880%46.0%17,13817.1k334.134506%34.134506%34.1%5,979431.995277%31.995277%32.0%4,607531.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.055201%30.055201%30.1%15,95316.0k630.041319%30.041319%30.0%97,78997.8k729.268021%29.268021%29.3%120,826121k29.250849%29.250849%29.3%35,05135.1k828.952816%28.952816%29.0%13,118,64213.1M28.605223%28.605223%28.6%12,33412.3k928.378914%28.378914%28.4%1,4321028.353827%28.353827%28.4%6,6641128.327284%28.327284%28.3%5,6191227.678649%27.678649%27.7%6,3601326.671334%26.671334%26.7%5,3341425.458281%25.458281%25.5%1,6111525.017265%25.017265%25.0%1,4491624.703683%24.703683%24.7%5,4191723.769396%23.769396%23.8%8,7161822.750505%22.750505%22.8%1,9141922.382445%22.382445%22.4%1,4282021.781005%21.781005%21.8%1,4702121.731855%21.731855%21.7%2,0782221.140262%21.140262%21.1%1,2572320.569692%20.569692%20.6%2,7082420.438105%20.438105%20.4%4,0122520.432264%20.432264%20.4%1,8342620.247867%20.247867%20.2%1,2582720.074906%20.074906%20.1%1,3402819.943718%19.943718%19.9%2,1972919.918627%19.918627%19.9%3,3783019.906551%19.906551%19.9%2,0453119.476722%19.476722%19.5%2,5983219.431400%19.431400%19.4%3,0623319.367235%19.367235%19.4%4,5363419.188566%19.188566%19.2%8,3243519.171178%19.171178%19.2%1,0273618.877882%18.877882%18.9%2,0393718.542585%18.542585%18.5%3,9953818.473218%18.473218%18.5%2,6283918.321567%18.321567%18.3%1,6094017.999433%17.999433%18.0%2,5394117.882487%17.882487%17.9%1,2604217.804842%17.804842%17.8%3,6114317.589648%17.589648%17.6%3,9834416.879845%16.879845%16.9%8714516.702426%16.702426%16.7%3,0364616.273801%16.273801%16.3%16,52116.5k4715.986242%15.986242%16.0%1,0694815.278225%15.278225%15.3%9504911.573442%11.573442%11.6%1,52750
Count number of people in category
# rank of county 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#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected other counties in Kansas, and entities that contain Butler County
0%2%4%6%8%Count#Riley CountyRileyDouglas CountyDouglasJohnson CountyJohnsonPottawatomie CountyPottawatomieUnited States of AmericaUnited StatesShawnee CountyShawneeAnderson CountyAndersonKansasWest North CentralMidwestEllis CountyEllisSaline CountySalineLyon CountyLyonCrawford CountyCrawfordSedgwick CountySedgwickHarvey CountyHarveyWichita Metro AreaWichita AreaThomas CountyThomasCloud CountyCloudAtchison CountyAtchisonLabette CountyLabetteBrown CountyBrownRice CountyRiceBourbon CountyBourbonNeosho CountyNeoshoLeavenworth CountyLeavenworthMcPherson CountyMcPhersonMarion CountyMarionWilson CountyWilsonMarshall CountyMarshallDickinson CountyDickinsonJefferson CountyJeffersonButler CountyButlerFranklin CountyFranklinBarton CountyBartonPratt CountyPrattOsage CountyOsageWyandotte CountyWyandotteClay CountyClayGeary CountyGearyFinney CountyFinneyMiami CountyMiamiFord CountyFordSumner CountySumnerNemaha CountyNemahaCherokee CountyCherokeeReno CountyRenoMontgomery CountyMontgomeryCowley CountyCowleyCoffey CountyCoffeyDoniphan CountyDoniphanAllen CountyAllenLinn CountyLinnJackson CountyJacksonSeward CountySeward8.601429%8.601429%8.6%3,20318.377997%8.377997%8.4%5,51825.486564%5.486564%5.5%21,03021.0k33.791930%3.791930%3.8%54643.336158%3.336158%3.3%7,127,6737.13M3.173689%3.173689%3.2%3,80353.173418%3.173418%3.2%17063.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.814570%2.814570%2.8%49372.517113%2.517113%2.5%92382.515126%2.515126%2.5%50392.506063%2.506063%2.5%589102.387601%2.387601%2.4%7,772112.241274%2.241274%2.2%515122.227815%2.227815%2.2%9,1972.160127%2.160127%2.2%109132.124577%2.124577%2.1%132142.063662%2.063662%2.1%212152.062952%2.062952%2.1%291161.992509%1.992509%2.0%133171.927900%1.927900%1.9%123181.913826%1.913826%1.9%183191.907231%1.907231%1.9%206201.878332%1.878332%1.9%997211.875378%1.875378%1.9%372221.806728%1.806728%1.8%152231.801222%1.801222%1.8%112241.745671%1.745671%1.7%123251.596821%1.596821%1.6%213261.557159%1.557159%1.6%205271.535322%1.535322%1.5%662281.533109%1.533109%1.5%260291.518402%1.518402%1.5%276301.422250%1.422250%1.4%90311.416122%1.416122%1.4%156321.377082%1.377082%1.4%1,398331.363950%1.363950%1.4%79341.344880%1.344880%1.3%264351.332096%1.332096%1.3%287361.326586%1.326586%1.3%291371.277057%1.277057%1.3%259381.262851%1.262851%1.3%199391.244629%1.244629%1.2%84401.180936%1.180936%1.2%168411.177962%1.177962%1.2%511421.170288%1.170288%1.2%265431.157081%1.157081%1.2%271441.076354%1.076354%1.1%64451.065891%1.065891%1.1%55461.058984%1.058984%1.1%93470.972035%0.972035%1.0%65480.891266%0.891266%0.9%80490.727603%0.727603%0.7%9650
Count number of people in category
# rank of county 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#60

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 Butler County, selected other counties in Kansas, and entities that contain Butler County
Female
Male
1x0x1xFM#ClayThomasAndersonLinnMiamiButlerCrawfordAllenBartonCoffeyDouglasPottawatomieRenoRiceLeavenworthDoniphanDickinsonJeffersonMontgomeryBrownCherokeeWyandotteCowleyHarveyMarionWest North CentralLabetteKansasNeoshoMidwestLyonShawneeEllisUnited StatesOsageWilsonFordJohnsonSedgwickWichita AreaSewardCloudFinneyFranklinMarshallBourbonSalineMcPhersonPrattJacksonNemahaRileyGearySumnerAtchison-1.000000x-1.000000x1.985795x1.985795x1.99x4.167%4.17%8.274%8.27%1-1.000000x-1.000000x1.622186x1.622186x1.62x3.614%3.61%5.863%5.86%2-1.000000x-1.000000x1.605180x1.605180x1.61x7.057%7.06%11.327%11.3%3-1.000000x-1.000000x1.585555x1.585555x1.59x8.562%8.56%13.576%13.6%4-1.000000x-1.000000x1.578422x1.578422x1.58x4.145%4.14%6.542%6.54%5-1.000000x-1.000000x1.456106x1.456106x1.46x5.906%5.91%8.599%8.60%6-1.000000x-1.000000x1.419706x1.419706x1.42x8.261%8.26%11.728%11.7%7-1.000000x-1.000000x1.362143x1.362143x1.36x8.147%8.15%11.098%11.1%8-1.000000x-1.000000x1.358369x1.358369x1.36x11.250%11.3%15.282%15.3%9-1.000000x-1.000000x1.322552x1.322552x1.32x6.265%6.26%8.285%8.29%10-1.000000x-1.000000x1.302985x1.302985x1.30x4.309%4.31%5.615%5.62%11-1.000000x-1.000000x1.288992x1.288992x1.29x4.065%4.07%5.240%5.24%12-1.000000x-1.000000x1.285468x1.285468x1.29x10.929%10.9%14.049%14.0%13-1.000000x-1.000000x1.263521x1.263521x1.26x9.991%9.99%12.624%12.6%14-1.000000x-1.000000x1.258907x1.258907x1.26x7.491%7.49%9.431%9.43%15-1.000000x-1.000000x1.255984x1.255984x1.26x8.264%8.26%10.379%10.4%16-1.000000x-1.000000x1.253276x1.253276x1.25x9.631%9.63%12.071%12.1%17-1.000000x-1.000000x1.252374x1.252374x1.25x6.830%6.83%8.554%8.55%18-1.000000x-1.000000x1.237453x1.237453x1.24x9.863%9.86%12.206%12.2%19-1.000000x-1.000000x1.227518x1.227518x1.23x6.401%6.40%7.858%7.86%20-1.000000x-1.000000x1.222623x1.222623x1.22x11.535%11.5%14.103%14.1%21-1.000000x-1.000000x1.184313x1.184313x1.18x20.101%20.1%23.806%23.8%22-1.000000x-1.000000x1.175954x1.175954x1.18x10.055%10.1%11.824%11.8%23-1.000000x-1.000000x1.148289x1.148289x1.15x8.705%8.71%9.996%10.00%24-1.000000x-1.000000x1.138072x1.138072x1.14x9.345%9.35%10.636%10.6%25-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136246x1.136246x1.14x11.766%11.8%13.369%13.4%26-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.128920x1.128920x1.13x8.116%8.12%9.163%9.16%27-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.122565x1.122565x1.12x10.444%10.4%11.724%11.7%28-1.000000x-1.000000x1.119297x1.119297x1.12x8.416%8.42%9.420%9.42%29-1.000000x-1.000000x1.114482x1.114482x1.11x6.325%6.32%7.049%7.05%30-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107939x1.107939x1.11x8.513%8.51%9.432%9.43%31-1.000000x-1.000000x1.095494x1.095494x1.10x12.427%12.4%13.613%13.6%32-1.000000x-1.000000x1.092277x1.092277x1.09x27.474%27.5%30.010%30.0%33-1.000000x-1.000000x1.086204x1.086204x1.09x4.078%4.08%4.430%4.43%34-1.000000x-1.000000x1.067656x1.067656x1.07x10.667%10.7%11.389%11.4%35-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.061175x1.061175x1.06x33.625%33.6%35.682%35.7%36-1.000000x-1.000000x1.057601x1.057601x1.06x7.768%7.77%8.216%8.22%37-1.000000x-1.000000x1.049822x1.049822x1.05x27.178%27.2%28.532%28.5%38-1.000000x-1.000000x1.038299x1.038299x1.04x7.979%7.98%8.284%8.28%39-1.000000x-1.000000x1.027749x1.027749x1.03x6.006%6.01%6.173%6.17%40-1.000000x-1.000000x1.001224x1.001224x1.00x9.532%9.53%9.544%9.54%41-1.086780x-1.086780x1.09x1.000000x1.000000x10.511%10.5%9.671%9.67%42-1.168773x-1.168773x1.17x1.000000x1.000000x9.636%9.64%8.245%8.24%43-1.177260x-1.177260x1.18x1.000000x1.000000x10.106%10.1%8.584%8.58%44-1.209163x-1.209163x1.21x1.000000x1.000000x5.817%5.82%4.811%4.81%45-1.233607x-1.233607x1.23x1.000000x1.000000x9.389%9.39%7.611%7.61%46-1.339917x-1.339917x1.34x1.000000x1.000000x5.071%5.07%3.784%3.78%47-1.423813x-1.423813x1.42x1.000000x1.000000x10.252%10.3%7.200%7.20%48-1.501700x-1.501700x1.50x1.000000x1.000000x10.458%10.5%6.964%6.96%49-1.707912x-1.707912x1.71x1.000000x1.000000x9.203%9.20%5.389%5.39%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#61

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 Butler County, selected other counties in Kansas, and entities that contain Butler County
Female
Male
0x2x4xFM#CowleyWilsonPrattAndersonRiceCoffeyNeoshoNemahaCloudRenoLyonCherokeeFranklinBrownBourbonAllenSedgwickLabetteWichita AreaFinneyGearySalineJohnsonShawneeWyandotteMidwestWest North CentralKansasUnited StatesHarveyMarionRileyPottawatomieFordDickinsonJeffersonButlerMcPhersonDoniphanSumnerEllisDouglasCrawfordAtchisonMiamiMontgomeryBartonJacksonLeavenworthSewardThomasClayMarshallLinnOsage-1.000000x-1.000000x5.949712x5.949712x5.95x0.337%0.34%2.002%2.00%1-1.000000x-1.000000x4.723697x4.723697x4.72x0.648%0.65%3.059%3.06%2-1.000000x-1.000000x3.825093x3.825093x3.83x0.617%0.62%2.360%2.36%3-1.000000x-1.000000x3.390065x3.390065x3.39x1.463%1.46%4.958%4.96%4-1.000000x-1.000000x3.350906x3.350906x3.35x0.894%0.89%2.996%3.00%5-1.000000x-1.000000x3.328783x3.328783x3.33x0.500%0.50%1.664%1.66%6-1.000000x-1.000000x3.279662x3.279662x3.28x0.910%0.91%2.984%2.98%7-1.000000x-1.000000x2.948922x2.948922x2.95x0.637%0.64%1.880%1.88%8-1.000000x-1.000000x2.781962x2.781962x2.78x1.145%1.15%3.186%3.19%9-1.000000x-1.000000x2.650624x2.650624x2.65x0.648%0.65%1.718%1.72%10-1.000000x-1.000000x2.548837x2.548837x2.55x1.430%1.43%3.646%3.65%11-1.000000x-1.000000x2.388252x2.388252x2.39x0.703%0.70%1.679%1.68%12-1.000000x-1.000000x2.265727x2.265727x2.27x0.953%0.95%2.160%2.16%13-1.000000x-1.000000x2.187346x2.187346x2.19x1.269%1.27%2.775%2.78%14-1.000000x-1.000000x2.095985x2.095985x2.10x1.263%1.26%2.647%2.65%15-1.000000x-1.000000x1.847907x1.847907x1.85x0.751%0.75%1.387%1.39%16-1.000000x-1.000000x1.835442x1.835442x1.84x1.699%1.70%3.119%3.12%17-1.000000x-1.000000x1.782802x1.782802x1.78x1.496%1.50%2.668%2.67%18-1.000000x-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-1.000000x-1.000000x1.739620x1.739620x1.74x0.973%0.97%1.693%1.69%19-1.000000x-1.000000x1.704596x1.704596x1.70x0.991%0.99%1.689%1.69%20-1.000000x-1.000000x1.685427x1.685427x1.69x1.889%1.89%3.184%3.18%21-1.000000x-1.000000x1.669060x1.669060x1.67x4.156%4.16%6.937%6.94%22-1.000000x-1.000000x1.642202x1.642202x1.64x2.435%2.43%3.998%4.00%23-1.000000x-1.000000x1.617555x1.617555x1.62x1.060%1.06%1.714%1.71%24-1.000000x-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-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.502165x1.502165x1.50x1.808%1.81%2.716%2.72%25-1.000000x-1.000000x1.493177x1.493177x1.49x1.457%1.46%2.176%2.18%26-1.000000x-1.000000x1.413219x1.413219x1.41x7.080%7.08%10.005%10.0%27-1.000000x-1.000000x1.405375x1.405375x1.41x3.159%3.16%4.439%4.44%28-1.000000x-1.000000x1.379789x1.379789x1.38x1.068%1.07%1.474%1.47%29-1.000000x-1.000000x1.364386x1.364386x1.36x1.353%1.35%1.845%1.85%30-1.000000x-1.000000x1.317505x1.317505x1.32x1.345%1.34%1.772%1.77%31-1.000000x-1.000000x1.306889x1.306889x1.31x1.333%1.33%1.742%1.74%32-1.000000x-1.000000x1.259761x1.259761x1.26x1.667%1.67%2.101%2.10%33-1.000000x-1.000000x1.243567x1.243567x1.24x0.952%0.95%1.184%1.18%34-1.000000x-1.000000x1.191735x1.191735x1.19x1.154%1.15%1.375%1.37%35-1.000000x-1.000000x1.171073x1.171073x1.17x2.594%2.59%3.037%3.04%36-1.000000x-1.000000x1.167586x1.167586x1.17x7.739%7.74%9.036%9.04%37-1.000000x-1.000000x1.162983x1.162983x1.16x2.325%2.33%2.704%2.70%38-1.000000x-1.000000x1.112916x1.112916x1.11x1.959%1.96%2.180%2.18%39-1.000000x-1.000000x1.108109x1.108109x1.11x1.260%1.26%1.397%1.40%40-1.000000x-1.000000x1.059420x1.059420x1.06x1.138%1.14%1.206%1.21%41-1.003325x-1.003325x1.00x1.000000x1.000000x1.521%1.52%1.516%1.52%42-1.004558x-1.004558x1.00x1.000000x1.000000x0.893%0.89%0.889%0.89%43-1.067198x-1.067198x1.07x1.000000x1.000000x1.944%1.94%1.822%1.82%44-1.213406x-1.213406x1.21x1.000000x1.000000x0.799%0.80%0.658%0.66%45-1.221442x-1.221442x1.22x1.000000x1.000000x2.371%2.37%1.941%1.94%46-1.252372x-1.252372x1.25x1.000000x1.000000x1.512%1.51%1.207%1.21%47-1.291100x-1.291100x1.29x1.000000x1.000000x1.965%1.96%1.522%1.52%48-1.461470x-1.461470x1.46x1.000000x1.000000x1.151%1.15%0.788%0.79%49-1.706832x-1.706832x1.71x1.000000x1.000000x1.782%1.78%1.044%1.04%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Butler County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Butler County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Butler County, selected other counties in the United States, and entities that contain Butler County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookSan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaWichita Metro AreaWichita AreaMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkKansasFranklin CountyFranklinWest North CentralNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexButler CountyButlerHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.404141%10.404141%10.4%42,95143.0k10.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.691216%9.691216%9.7%182,049182k9.640656%9.640656%9.6%78,29978.3k389.174633%9.174633%9.2%1,278,0511.28M9.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.235957%7.235957%7.2%3,1207.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county 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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Butler County, selected other counties in the United States, and entities that contain Butler County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluSalt Lake CountySalt LakeOrange CountyOrangeKansasHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisWest North CentralMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoWichita Metro AreaWichita AreaMidwestButler CountyButlerMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronx60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.610465%31.610465%31.6%593,801594k31.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3830.056536%30.056536%30.1%4,186,9564.19M29.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4129.268021%29.268021%29.3%120,826121k28.952816%28.952816%29.0%13,118,64213.1M28.605223%28.605223%28.6%12,33412.3k27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k50
Count number of people in category
# rank of county 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#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Butler County, selected other counties in the United States, and entities that contain Butler County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasKansasOrange CountyOrangeMilwaukee CountyMilwaukeeWest North CentralMidwestBexar CountyBexarQueens CountyQueensFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWichita Metro AreaWichita AreaWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronxButler CountyButler12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k393.019438%3.019438%3.0%56,72056.7k2.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.227815%2.227815%2.2%9,1972.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k501.535322%1.535322%1.5%662
Count number of people in category
# rank of county 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#65

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 Butler County, selected other counties in the United States, and entities that contain Butler County
Female
Male
1x0x1xFM#ButlerMecklenburgPalm BeachWakeWestchesterFairfieldContra CostaWest North CentralKansasHillsboroughFresnoMidwestDallasSuffolkMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaWichita AreaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.456106x1.456106x1.46x5.906%5.91%8.599%8.60%-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066981x1.066981x1.07x10.076%10.1%10.751%10.8%-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#66

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 Butler County, selected other counties in the United States, and entities that contain Butler County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandWichita AreaMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldAlleghenyMidwestNassauBrowardClarkWest North CentralKansasFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoButlerHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.755445x1.755445x1.76x1.630%1.63%2.861%2.86%-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.306889x1.306889x1.31x1.333%1.33%1.742%1.74%-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county 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

Cities:
Andover, Augusta, Benton, Cassoday, Douglass, El Dorado, Elbing, Latham, Leon, Potwin, Rose Hill, Towanda, Whitewater
Townships:
Augusta, Benton, Bloomington, Bruno, Chelsea, Clay, Clifford, Douglass, El Dorado, Fairmount, Fairview, Glencoe, Hickory, Lincoln, Little Walnut, Logan, Milton, Murdock, Pleasant, Plum Grove, Prospect, Richland, Rock Creek, Rosalia, Spring, Sycamore, Towanda, Union, Walnut
Unincorporated Places:
Rosalia
ZIP Codes:
66840, 66842, 67002, 67008, 67010, 67012, 67017, 67039, 67041, 67042, 67072, 67074, 67114, 67123, 67132, 67133, 67144, 67154
Unified School Districts:
Andover 385, Augusta 402, Bluestem 205, Central 462, Circle 375, Douglass 396, El Dorado 490, Eureka 389, Flinthills 492, Peabody-Burns 398, Remington-Whitewater 206, Rose Hill 394
Congressional District:
KS-4
State Senate Districts:
KS-14, KS-16
State House Districts:
KS-12, KS-72, KS-75, KS-77, KS-85, KS-99
Neighboring Counties:
Chase, Cowley, Elk, Greenwood, Harvey, Marion, Sedgwick, Sumner
Nearby Counties:
Chautauqua, Lyon, McPherson