Educational Attainment in State Senate District 33, Kansas (State Senate District)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Kansas and State Senate District 33
State Senate District 33
Kansas
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma231.418286%39.753313%31.418286%31.4%14,92414.9k56.872487%50.555471%56.872487%56.9%27,01527.0k11.709227%9.691216%11.709227%11.7%5,562
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 State Senate District 33
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-20.966874%-20.966874%-21.0%31.418%31.4%39.753%39.8%12.495217%12.495217%+12.5%56.872%56.9%50.555%50.6%20.823101%20.823101%+20.8%11.709%11.7%9.691%9.69%
% percentage with given level in State Senate District 33
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 State Senate District 33
State Senate District 33
Kansas
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.515779%1.183288%0.515779%0.5%2450.932612%1.836151%0.932612%0.9%4434.679901%8.341252%4.679901%4.7%2,22314.572325%20.249774%14.572325%14.6%6,92210.717669%8.142848%10.717669%10.7%5,09126.622597%23.944008%26.622597%26.6%12,64612.6k30.249889%26.611463%30.249889%30.2%14,36914.4k7.542999%5.903023%7.542999%7.5%3,5833.597819%2.935914%3.597819%3.6%1,7090.568409%0.852278%0.568409%0.6%270
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 State Senate District 33
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-56.411393%-56.411393%-56.4%0.516%0.52%1.183%1.18%-49.208313%-49.208313%-49.2%0.933%0.93%1.836%1.84%-43.894495%-43.894495%-43.9%4.680%4.68%8.341%8.34%-28.037101%-28.037101%-28.0%14.572%14.6%20.250%20.2%31.620639%31.620639%+31.6%10.718%10.7%8.143%8.14%11.186887%11.186887%+11.2%26.623%26.6%23.944%23.9%13.672403%13.672403%+13.7%30.250%30.2%26.611%26.6%27.781961%27.781961%+27.8%7.543%7.54%5.903%5.90%22.545103%22.545103%+22.5%3.598%3.60%2.936%2.94%-33.307081%-33.307081%-33.3%0.568%0.57%0.852%0.85%
% percentage with given level in State Senate District 33
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 State Senate District 33
More Females More Males
Kansas
State Senate District 33
20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-21.492374%-7.375163%-21.492374%21%34.451%34.5%28.356%28.4%4.684841%3.191263%4.684841%5%55.577%55.6%58.181%58.2%35.004190%13.607754%35.004190%35%9.972%9.97%13.463%13.5%
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 State Senate District 33
More Females More Males
Kansas
State Senate District 33
50%0%50%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None28.091656%52.166262%28.091656%28%0.453%0.45%0.580%0.58%145.789863%60.465398%145.789863%146%0.541%0.54%1.329%1.33%-42.358638%-21.707028%-42.358638%42%5.493%5.49%3.859%3.86%-4.743221%-2.455925%-4.743221%5%14.908%14.9%14.233%14.2%-56.245069%-28.959258%-56.245069%56%13.056%13.1%8.356%8.36%-14.535415%-3.047706%-14.535415%15%28.417%28.4%24.811%24.8%22.864621%9.052875%22.864621%23%27.160%27.2%33.370%33.4%47.002002%15.778580%47.002002%47%6.113%6.11%8.987%8.99%13.129727%8.075102%13.129727%13%3.377%3.38%3.821%3.82%36.099925%18.376050%36.099925%36%0.482%0.48%0.656%0.66%
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 State Senate District 33
State Senate District 33
Kansas
0%5%10%15%20%B.X.Total65+45-6435-4425-3414.406715%14.399546%14.406715%14.4%1,88813,10513.1k13.657419%19.988459%13.657419%13.7%2,62419,21319.2k16.662103%22.970287%16.662103%16.7%1,2177,30415.141515%24.626945%15.141515%15.1%1,1937,879
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 State Senate District 33
30%20%10%0%%ref.65+45-6435-4425-340.049789%0.049789%0.0%14.407%14.4%14.400%14.4%-31.673475%-31.673475%31.7%13.657%13.7%19.988%20.0%-27.462364%-27.462364%27.5%16.662%16.7%22.970%23.0%-38.516469%-38.516469%38.5%15.142%15.1%24.627%24.6%
% percentage in State Senate District 33 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 State Senate District 33
More Females More Males
Kansas
State Senate District 33
20%0%20%FM65+45-6435-4425-3419.406559%35.981658%19.406559%19.4%13.247%13.2%15.818%15.8%-3.206415%-2.655725%-3.206415%3.2%13.877%13.9%13.446%13.4%-38.757517%-15.234631%-38.757517%38.8%19.459%19.5%14.023%14.0%-16.884345%-22.455189%-16.884345%16.9%16.393%16.4%14.025%14.0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Kansas and State Senate District 33
State Senate District 33
Kansas
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$47,223.000000$57,977.000000$47,223.000000$47.2k2,9116.128%6.13%$41,142.000000$46,270.000000$41,142.000000$41.1k6,92214.572%14.6%$31,820.000000$32,416.000000$31,820.000000$31.8k17,73717.7k37.340%37.3%$26,709.000000$28,537.000000$26,709.000000$26.7k14,36914.4k30.250%30.2%$22,534.000000$23,225.000000$22,534.000000$22.5k5,56211.709%11.7%$31,767.000000$36,181.000000$31,767.000000$31.8k47,50147.5k100.000%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 State Senate District 33
Female Male
Kansas
State Senate District 33
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-43,426.000000$-50,193.000000$-43,426.000000$43.4k$43,426.000000$8,614.000000$50,193.000000$23,988.000000$52,040.000000$52.0k1,5481,363$-34,124.000000$-38,350.000000$-34,124.000000$34.1k$34,124.000000$15,706.000000$38,350.000000$20,328.000000$49,830.000000$49.8k3,5583,364$-24,156.000000$-26,448.000000$-24,156.000000$24.2k$24,156.000000$18,121.000000$26,448.000000$14,489.000000$42,277.000000$42.3k9,8987,839$-20,233.000000$-22,046.000000$-20,233.000000$20.2k$20,233.000000$11,993.000000$22,046.000000$12,676.000000$32,226.000000$32.2k6,4827,887$-12,197.000000$-16,673.000000$-12,197.000000$12.2k$12,197.000000$18,259.000000$16,673.000000$11,123.000000$30,456.000000$30.5k2,3803,182$-23,987.000000$-29,625.000000$-23,987.000000$24.0k$23,987.000000$15,243.000000$29,625.000000$12,859.000000$39,230.000000$39.2k23,86623.9k23,63523.6k
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 State Senate District 33
State Senate District 33
Kansas
0%10%20%30%40%50%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma358.333333%36.048527%58.333333%58.3%7725.000000%47.295448%25.000000%25.0%3316.666667%15.926298%16.666667%16.7%220.000000%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 State Senate District 33
State Senate District 33
Kansas
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.041396%85.422439%87.041396%87.0%6,28780.896913%77.879022%80.896913%80.9%11,11211.1k72.900158%70.975993%72.900158%72.9%6,90057.074522%59.590418%57.074522%57.1%2,267
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 State Senate District 33
Female Male
Kansas
State Senate District 33
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-7.352464%-6.002816%-7.352464%7.4%7.352464%1.969814%6.002816%0.671379%9.322278%9.3%1,9451,586-35.374150%-12.080873%-35.374150%35.4%35.374150%2.457709%12.080873%1.436341%37.831858%37.8%17152-0.000000%-9.677419%-15.010196%-3.383953%-9.677419%9.7%0.000000%15.010196%0.000000%0.0%09-43.218249%-36.334114%-43.218249%43.2%43.218249%9.536429%36.334114%3.625165%52.754678%52.8%1,015701-24.809160%-23.228405%-24.809160%24.8%24.809160%12.766597%23.228405%2.858450%37.575758%37.6%310195
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 State Senate District 33
Female Male
Kansas
State Senate District 33
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%MFWhite1BlackAsianHispanic2Other1-21.898965%-0.566382%-33.850189%-0.355200%-22.465347%22.5%21.898965%33.850189%21.898965%21.9%4,5694,846-0.000000%-17.743824%-2.550441%0.000000%0.0%0.000000%0.884956%17.743824%0.884956%0.9%40-57.500000%-10.241935%-45.675231%-67.741935%67.7%57.500000%45.675231%6.767362%57.500000%57.5%2363-4.054054%-3.220915%-11.732554%-1.530063%-7.274969%7.3%4.054054%11.732554%4.054054%4.1%78118-7.757576%-6.364562%-16.189340%-2.327245%-14.122137%14.1%7.757576%16.189340%7.757576%7.8%64111
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 in State Senate District 33

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

Percentage of the population 25 years and older with given highest level of educational attainment
25.0%27.4%29.8%32.1%34.4%36.8%

Coarse: High School Diploma Educational Attainment by County#17

Percentage of the population 25 years and older with given highest level of educational attainment
53.7%55.5%57.3%59.0%60.7%62.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.5%8.6%10.7%12.7%14.8%16.9%

Detailed: Doctorate Degree Educational Attainment by County#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.29%0.58%0.87%1.15%1.45%

Detailed: Professional Degree Educational Attainment by County#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.37%0.75%1.12%1.49%1.87%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.2%4.1%4.9%5.7%6.6%7.5%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.6%13.5%15.3%17.0%18.8%20.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.1%6.8%8.4%9.9%11.5%13.2%

Detailed: Some College Educational Attainment by County#24

Percentage of the population 25 years and older with given highest level of educational attainment
22.5%24.2%25.8%27.5%29.1%30.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
26.0%27.7%29.3%31.0%32.6%34.4%

Detailed: Some High School Educational Attainment by County#26

Percentage of the population 25 years and older with given highest level of educational attainment
3.3%4.7%6.1%7.4%8.7%10.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.8%2.8%3.7%4.6%5.5%6.4%

Detailed: None Educational Attainment by County#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.29%0.58%0.86%1.15%1.44%
Road Data ©OpenStreetMap

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Map of Educational Attainment by County Subdivision in State Senate District 33

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#29

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Coarse: High School Diploma Educational Attainment by County Subdivision#30

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Coarse: No High School Diploma Educational Attainment by County Subdivision#31

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

Detailed: Doctorate Degree Educational Attainment by County Subdivision#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.5%2.9%4.4%5.9%7.4%

Detailed: Professional Degree Educational Attainment by County Subdivision#33

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%13%19%26%33%

Detailed: Master's Degree Educational Attainment by County Subdivision#34

Percentage of the population 25 years and older with given highest level of educational attainment
0%8%17%25%33%42%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#35

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Associate's Degree Educational Attainment by County Subdivision#36

Percentage of the population 25 years and older with given highest level of educational attainment
0%12%24%35%47%59%

Detailed: Some College Educational Attainment by County Subdivision#37

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Some High School Educational Attainment by County Subdivision#39

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

Detailed: Less than High School Educational Attainment by County Subdivision#40

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%14%21%28%36%

Detailed: None Educational Attainment by County Subdivision#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.7%7.4%11.1%14.8%18.6%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in State Senate District 33

Coarse: Post-Secondary Degree Educational Attainment by Tract#42

Percentage of the population 25 years and older with given highest level of educational attainment
18%24%29%35%40%45%

Coarse: High School Diploma Educational Attainment by Tract#43

Percentage of the population 25 years and older with given highest level of educational attainment
47.0%51.5%55.9%60.4%64.9%69.4%

Coarse: No High School Diploma Educational Attainment by Tract#44

Percentage of the population 25 years and older with given highest level of educational attainment
5.6%10.0%14.4%18.8%23.2%27.6%

Detailed: Doctorate Degree Educational Attainment by Tract#45

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.0%1.5%2.0%2.6%

Detailed: Professional Degree Educational Attainment by Tract#46

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.1%1.7%2.3%2.9%

Detailed: Master's Degree Educational Attainment by Tract#47

Percentage of the population 25 years and older with given highest level of educational attainment
1.3%3.1%4.9%6.7%8.4%10.3%

Detailed: Bachelor's Degree Educational Attainment by Tract#48

Percentage of the population 25 years and older with given highest level of educational attainment
4.8%8.0%11.2%14.3%17.5%20.7%

Detailed: Associate's Degree Educational Attainment by Tract#49

Percentage of the population 25 years and older with given highest level of educational attainment
5.1%7.6%10.0%12.5%14.9%17.4%

Detailed: Some College Educational Attainment by Tract#50

Percentage of the population 25 years and older with given highest level of educational attainment
20.2%22.7%25.1%27.5%29.9%32.3%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#51

Percentage of the population 25 years and older with given highest level of educational attainment
21.8%25.0%28.1%31.1%34.2%37.4%

Detailed: Some High School Educational Attainment by Tract#52

Percentage of the population 25 years and older with given highest level of educational attainment
3.3%5.3%7.1%9.0%10.9%12.8%

Detailed: Less than High School Educational Attainment by Tract#53

Percentage of the population 25 years and older with given highest level of educational attainment
0.7%3.1%5.5%7.9%10.3%12.7%

Detailed: None Educational Attainment by Tract#54

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.43%0.86%1.29%1.72%2.16%
Road Data ©OpenStreetMap

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Educational Attainment by Place in State Senate District 33

There are 57 places that are fully or partially contained within State Senate District 33 (56 fully and 1 partially). This section compares the 50 most populous of those to each other, State Senate District 33, and other entities that contain or substantially overlap with State Senate District 33. The least populous of the compared places has a population of 45.

No H.S. Diploma by Place#55

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State Senate District 33, selected places in State Senate District 33, and entities that contain State Senate District 33
0%10%20%30%40%Count#BelpreCoatsChaseGarfieldMacksvilleCullisonLewisKinsleyOlmitzPawnee RockGreat BendPrestonScott CityOtisAldenHoisingtonUnited States of AmericaUnited StatesSt. JohnStaffordEllinwoodBisonHanstonState Senate District 33KS-33HudsonHealyOfferleIukaNess CityMidwestPrattRozelKansasHavilandTimkenLiebenthalBazineWest North CentralClaflinLa CrosseMcCrackenBushtonGreensburgMullinvilleLarnedSawyerJetmoreDightonRush CenterRaymondUticaBrownellRansomBurdettAlbertOdin41.666667%41.666667%41.7%40134.117647%34.117647%34.1%29230.701754%30.701754%30.7%105324.844720%24.844720%24.8%40424.232082%24.232082%24.2%71522.222222%22.222222%22.2%8621.708185%21.708185%21.7%61718.327068%18.327068%18.3%195816.949153%16.949153%16.9%20916.339869%16.339869%16.3%251015.641026%15.641026%15.6%1,5861115.384615%15.384615%15.4%181214.522822%14.522822%14.5%3851313.698630%13.698630%13.7%301413.432836%13.432836%13.4%91513.266583%13.266583%13.3%2121613.020590%13.020590%13.0%27,818,38027.8M12.747253%12.747253%12.7%1161712.696335%12.696335%12.7%971812.492528%12.492528%12.5%2091912.179487%12.179487%12.2%192011.764706%11.764706%11.8%202111.709227%11.709227%11.7%5,56211.702128%11.702128%11.7%112211.585366%11.585366%11.6%192311.538462%11.538462%11.5%182410.958904%10.958904%11.0%162510.265811%10.265811%10.3%1122610.244520%10.244520%10.2%4,641,8354.64M10.191083%10.191083%10.2%4482710.000000%10.000000%10.0%12289.691216%9.691216%9.7%182,049182k9.558824%9.558824%9.6%39299.375000%9.375000%9.4%3309.278351%9.278351%9.3%9319.259259%9.259259%9.3%20329.174633%9.174633%9.2%1,278,0511.28M8.685969%8.685969%8.7%39338.410256%8.410256%8.4%82348.163265%8.163265%8.2%12357.878788%7.878788%7.9%13367.851852%7.851852%7.9%53377.563025%7.563025%7.6%9387.355579%7.355579%7.4%205397.058824%7.058824%7.1%6406.389776%6.389776%6.4%40415.891016%5.891016%5.9%40425.555556%5.555556%5.6%8435.555556%5.555556%5.6%3445.504587%5.504587%5.5%6454.651163%4.651163%4.7%2464.489796%4.489796%4.5%11474.109589%4.109589%4.1%9483.623188%3.623188%3.6%5490.000000%0.000000%0.0%050
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#56

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State Senate District 33, selected places in State Senate District 33, and entities that contain State Senate District 33
0%10%20%30%40%Count#BurdettHavilandKansasOfferleUnited States of AmericaUnited StatesBrownellWest North CentralMidwestHanstonGreensburgScott CityLarnedSt. JohnNess CityAldenJetmoreIukaPrattLa CrosseBisonClaflinState Senate District 33KS-33McCrackenStaffordPrestonRozelHoisingtonDightonGreat BendHudsonRansomMacksvilleTimkenHealyBushtonAlbertOlmitzEllinwoodKinsleyMullinvilleBazineRush CenterOtisSawyerLewisLiebenthalUticaGarfieldChaseBelpreCullisonPawnee RockCoatsRaymondOdin41.095890%41.095890%41.1%90132.843137%32.843137%32.8%134231.610465%31.610465%31.6%593,801594k30.769231%30.769231%30.8%48330.315023%30.315023%30.3%64,767,78764.8M30.232558%30.232558%30.2%13430.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.235294%28.235294%28.2%48528.000000%28.000000%28.0%189627.951716%27.951716%28.0%741727.951202%27.951202%28.0%779824.065934%24.065934%24.1%219923.923006%23.923006%23.9%2611023.880597%23.880597%23.9%161123.482428%23.482428%23.5%1471223.287671%23.287671%23.3%341322.861692%22.861692%22.9%1,0051422.358974%22.358974%22.4%2181521.794872%21.794872%21.8%341620.935412%20.935412%20.9%941720.700617%20.700617%20.7%9,83319.727891%19.727891%19.7%291818.848168%18.848168%18.8%1441918.803419%18.803419%18.8%222017.500000%17.500000%17.5%212117.334168%17.334168%17.3%2772217.231222%17.231222%17.2%1172316.982249%16.982249%17.0%1,7222415.957447%15.957447%16.0%152515.918367%15.918367%15.9%392615.699659%15.699659%15.7%462715.625000%15.625000%15.6%52815.243902%15.243902%15.2%252914.545455%14.545455%14.5%243014.492754%14.492754%14.5%203114.406780%14.406780%14.4%173214.345487%14.345487%14.3%2403314.003759%14.003759%14.0%1493413.445378%13.445378%13.4%163513.425926%13.425926%13.4%293613.194444%13.194444%13.2%193711.872146%11.872146%11.9%263811.764706%11.764706%11.8%103911.743772%11.743772%11.7%334011.340206%11.340206%11.3%114110.091743%10.091743%10.1%11429.937888%9.937888%9.9%16438.771930%8.771930%8.8%30446.250000%6.250000%6.3%6455.555556%5.555556%5.6%2465.228758%5.228758%5.2%8472.352941%2.352941%2.4%2481.851852%1.851852%1.9%1490.000000%0.000000%0.0%050
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#57

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State Senate District 33, selected places in State Senate District 33, and entities that contain State Senate District 33
0%1%2%3%4%Count#HavilandLa CrosseUnited States of AmericaUnited StatesKansasWest North CentralHanstonMidwestSt. JohnRozelLarnedScott CityLiebenthalGarfieldGreat BendOlmitzRansomGreensburgState Senate District 33KS-33PrattRush CenterIukaEllinwoodHoisingtonNess CityKinsleyMcCrackenOfferleHealyBazineBurdettClaflinJetmoreChaseStaffordDightonMacksvilleLewisOtisPawnee RockBisonBushtonMullinvilleAlbertBelprePrestonCoatsUticaHudsonSawyerAldenOdinRaymondBrownellTimkenCullison4.411765%4.411765%4.4%1814.307692%4.307692%4.3%4223.336158%3.336158%3.3%7,127,6737.13M3.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.941176%2.941176%2.9%532.893416%2.893416%2.9%1,311,0191.31M2.747253%2.747253%2.7%2542.500000%2.500000%2.5%352.439900%2.439900%2.4%6862.338740%2.338740%2.3%6272.061856%2.061856%2.1%281.863354%1.863354%1.9%391.715976%1.715976%1.7%174101.694915%1.694915%1.7%2111.632653%1.632653%1.6%4121.629630%1.629630%1.6%11131.448391%1.448391%1.4%6881.410373%1.410373%1.4%62141.388889%1.388889%1.4%2151.369863%1.369863%1.4%2161.255230%1.255230%1.3%21171.001252%1.001252%1.0%16180.824931%0.824931%0.8%9190.751880%0.751880%0.8%8200.680272%0.680272%0.7%1210.641026%0.641026%0.6%1220.609756%0.609756%0.6%1230.462963%0.462963%0.5%1240.456621%0.456621%0.5%1250.445434%0.445434%0.4%2260.319489%0.319489%0.3%2270.292398%0.292398%0.3%1280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of place 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 Place#58

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 State Senate District 33, selected places in State Senate District 33, and entities that contain State Senate District 33
Female
Male
10x5x0x5x10xFM#RaymondBrownellIukaHudsonUticaRozelOtisBurdettDightonLewisPawnee RockOfferleStaffordScott CityPrestonRush CenterAlbertEllinwoodCoatsOlmitzSawyerGarfieldKinsleyKS-33BushtonGreat BendNess CitySt. JohnMacksvilleWest North CentralKansasMidwestUnited StatesLarnedHoisingtonHavilandGreensburgCullisonRansomJetmoreClaflinChaseBisonLiebenthalMcCrackenPrattLa CrosseBelpreAldenHealyBazineMullinvilleHanstonTimken-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.111%11.1%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.696%8.70%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x1.370%1.37%20.548%20.5%3-1.000000x-1.000000x8.800000x8.800000x8.80x2.273%2.27%20.000%20.0%4-1.000000x-1.000000x4.909091x4.909091x4.91x1.852%1.85%9.091%9.09%5-1.000000x-1.000000x3.823529x3.823529x3.82x3.846%3.85%14.706%14.7%6-1.000000x-1.000000x3.255844x3.255844x3.26x6.422%6.42%20.909%20.9%7-1.000000x-1.000000x3.051282x3.051282x3.05x1.961%1.96%5.983%5.98%8-1.000000x-1.000000x2.777419x2.777419x2.78x3.252%3.25%9.032%9.03%9-1.000000x-1.000000x2.533554x2.533554x2.53x12.230%12.2%30.986%31.0%10-1.000000x-1.000000x2.408680x2.408680x2.41x9.459%9.46%22.785%22.8%11-1.000000x-1.000000x2.051948x2.051948x2.05x7.595%7.59%15.584%15.6%12-1.000000x-1.000000x2.030177x2.030177x2.03x8.578%8.58%17.416%17.4%13-1.000000x-1.000000x1.996981x1.996981x2.00x9.871%9.87%19.713%19.7%14-1.000000x-1.000000x1.836066x1.836066x1.84x10.714%10.7%19.672%19.7%15-1.000000x-1.000000x1.811594x1.811594x1.81x4.000%4.00%7.246%7.25%16-1.000000x-1.000000x1.785714x1.785714x1.79x2.667%2.67%4.762%4.76%17-1.000000x-1.000000x1.731105x1.731105x1.73x9.287%9.29%16.076%16.1%18-1.000000x-1.000000x1.712963x1.712963x1.71x24.324%24.3%41.667%41.7%19-1.000000x-1.000000x1.566964x1.566964x1.57x12.963%13.0%20.313%20.3%20-1.000000x-1.000000x1.500000x1.500000x1.50x5.882%5.88%8.824%8.82%21-1.000000x-1.000000x1.401038x1.401038x1.40x21.111%21.1%29.577%29.6%22-1.000000x-1.000000x1.379259x1.379259x1.38x15.355%15.4%21.179%21.2%23-1.000000x-1.000000x1.350042x1.350042x1.35x9.972%9.97%13.463%13.5%-1.000000x-1.000000x1.301282x1.301282x1.30x6.897%6.90%8.974%8.97%24-1.000000x-1.000000x1.276094x1.276094x1.28x13.844%13.8%17.667%17.7%25-1.000000x-1.000000x1.219709x1.219709x1.22x9.242%9.24%11.273%11.3%26-1.000000x-1.000000x1.182254x1.182254x1.18x11.765%11.8%13.909%13.9%27-1.000000x-1.000000x1.169591x1.169591x1.17x22.500%22.5%26.316%26.3%28-1.000000x-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-1.000000x1.055622x1.055622x1.06x7.153%7.15%7.551%7.55%29-1.000000x-1.000000x1.049141x1.049141x1.05x12.944%12.9%13.580%13.6%30-1.000000x-1.000000x1.027551x1.027551x1.03x9.434%9.43%9.694%9.69%31-1.000000x-1.000000x1.000783x1.000783x1.00x7.849%7.85%7.855%7.85%32-1.000000x-1.000000x1.000000x1.000000x22.222%22.2%22.222%22.2%33-1.027273x-1.027273x1.03x1.000000x1.000000x4.545%4.55%4.425%4.42%34-1.138062x-1.138062x1.14x1.000000x1.000000x6.765%6.76%5.944%5.94%35-1.155927x-1.155927x1.16x1.000000x1.000000x9.346%9.35%8.085%8.09%36-1.162757x-1.162757x1.16x1.000000x1.000000x33.129%33.1%28.492%28.5%37-1.164706x-1.164706x1.16x1.000000x1.000000x13.235%13.2%11.364%11.4%38-1.385870x-1.385870x1.39x1.000000x1.000000x10.870%10.9%7.843%7.84%39-1.419178x-1.419178x1.42x1.000000x1.000000x9.589%9.59%6.757%6.76%40-1.525567x-1.525567x1.53x1.000000x1.000000x12.056%12.1%7.903%7.90%41-1.666329x-1.666329x1.67x1.000000x1.000000x10.392%10.4%6.237%6.24%42-1.708571x-1.708571x1.71x1.000000x1.000000x52.000%52.0%30.435%30.4%43-1.722222x-1.722222x1.72x1.000000x1.000000x16.667%16.7%9.677%9.68%44-1.800000x-1.800000x1.80x1.000000x1.000000x15.000%15.0%8.333%8.33%45-3.200000x-3.200000x3.20x1.000000x1.000000x13.333%13.3%4.167%4.17%46-3.441667x-3.441667x3.44x1.000000x1.000000x11.667%11.7%3.390%3.39%47-3.906977x-3.906977x3.91x1.000000x1.000000x18.605%18.6%4.762%4.76%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x16.667%16.7%0.000%0%49
F percentage of females in category
M percentage of males in category
# rank of place out of 49 by male-to-female sex ratio

Over-Education Sex Ratio by Place#59

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 State Senate District 33, selected places in State Senate District 33, and entities that contain State Senate District 33
Female
Male
10x5x0x5x10xFM#Ness CityHavilandClaflinRansomBurdettGarfieldMcCrackenOlmitzLiebenthalLarnedScott CityPrattHanstonLa CrosseSt. JohnKS-33GreensburgMidwestWest North CentralKansasUnited StatesEllinwoodGreat BendKinsleyRozelHoisingtonJetmoreChaseBazineHealyOfferleIukaRush Center-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.636%1.64%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.184%9.18%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.851%0.85%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.540%3.54%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.855%0.85%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.225%4.23%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.351%1.35%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.125%3.13%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.922%3.92%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.219%0.22%4.587%4.59%10-1.000000x-1.000000x5.801756x5.801756x5.80x0.715%0.72%4.150%4.15%11-1.000000x-1.000000x4.624659x4.624659x4.62x0.537%0.54%2.482%2.48%12-1.000000x-1.000000x4.095238x4.095238x4.10x1.163%1.16%4.762%4.76%13-1.000000x-1.000000x3.090909x3.090909x3.09x2.157%2.16%6.667%6.67%14-1.000000x-1.000000x2.512290x2.512290x2.51x1.623%1.62%4.077%4.08%15-1.000000x-1.000000x1.921552x1.921552x1.92x0.993%0.99%1.908%1.91%-1.000000x-1.000000x1.818731x1.818731x1.82x1.163%1.16%2.115%2.11%16-1.000000x-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-1.000000x1.229494x1.229494x1.23x1.133%1.13%1.392%1.39%17-1.000000x-1.000000x1.052399x1.052399x1.05x1.675%1.67%1.762%1.76%18-1.737044x-1.737044x1.74x1.000000x1.000000x0.960%0.96%0.552%0.55%19-2.615385x-2.615385x2.62x1.000000x1.000000x3.846%3.85%1.471%1.47%20-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.030%2.03%0.000%0%21-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.588%0.59%0.000%0%22-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.613%0.61%0.000%0%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.833%0.83%0.000%0%24-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.250%1.25%0.000%0%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.266%1.27%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.740%2.74%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.667%2.67%0.000%0%28
F percentage of females in category
M percentage of males in category
# rank of place out of 28 by male-to-female sex ratio

Educational Attainment by Metro Area in State Senate District 33

There is 1 metro area in State Senate District 33. This section compares all 1 of those to each other, State Senate District 33, and other entities that contain or substantially overlap with State Senate District 33.

No H.S. Diploma by Metro Area#60

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State Senate District 33, selected metro areas in State Senate District 33, and entities that contain State Senate District 33
0%5%10%Count#Great Bend Metro AreaGreat BendUnited States of AmericaUnited StatesState Senate District 33KS-33MidwestKansasWest North Central13.225505%13.225505%13.2%2,404113.020590%13.020590%13.0%27,818,38027.8M11.709227%11.709227%11.7%5,56210.244520%10.244520%10.2%4,641,8354.64M9.691216%9.691216%9.7%182,049182k9.174633%9.174633%9.2%1,278,0511.28M
Count number of people in category
# rank of metro area out of 1 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Metro Area#61

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State Senate District 33, selected metro areas in State Senate District 33, and entities that contain State Senate District 33
0%10%20%30%Count#KansasUnited States of AmericaUnited StatesWest North CentralMidwestState Senate District 33KS-33Great Bend Metro AreaGreat Bend31.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M20.700617%20.700617%20.7%9,83316.702426%16.702426%16.7%3,0361
Count number of people in category
# rank of metro area out of 1 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Metro Area#62

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State Senate District 33, selected metro areas in State Senate District 33, and entities that contain State Senate District 33
0%1%2%3%Count#United States of AmericaUnited StatesKansasWest North CentralMidwestGreat Bend Metro AreaGreat BendState Senate District 33KS-333.336158%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%1,311,0191.31M1.518402%1.518402%1.5%27611.448391%1.448391%1.4%688
Count number of people in category
# rank of metro area out of 1 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 Metro Area#63

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 State Senate District 33, selected metro areas in State Senate District 33, and entities that contain State Senate District 33
Female
Male
1x0x1xFM#Great BendKS-33West North CentralKansasMidwestUnited States-1.000000x-1.000000x1.358369x1.358369x1.36x11.250%11.3%15.282%15.3%1-1.000000x-1.000000x1.350042x1.350042x1.35x9.972%9.97%13.463%13.5%-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%
F percentage of females in category
M percentage of males in category
# rank of metro area out of 1 by male-to-female sex ratio

Over-Education Sex Ratio by Metro Area#64

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 State Senate District 33, selected metro areas in State Senate District 33, and entities that contain State Senate District 33
Female
Male
1x0x1xFM#KS-33MidwestWest North CentralKansasUnited StatesGreat Bend-1.000000x-1.000000x1.921552x1.921552x1.92x0.993%0.99%1.908%1.91%-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%-1.003325x-1.003325x1.00x1.000000x1.000000x1.521%1.52%1.516%1.52%1
F percentage of females in category
M percentage of males in category
# rank of metro area out of 1 by male-to-female sex ratio

Educational Attainment by County in State Senate District 33

There are 12 counties that are fully or partially contained within State Senate District 33 (10 fully and 2 partially). This section compares all 12 of those to each other, State Senate District 33, and other entities that contain or substantially overlap with State Senate District 33.

No H.S. Diploma by County#65

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State Senate District 33, selected counties in State Senate District 33, and entities that contain State Senate District 33
0%5%10%15%Count#Edwards CountyEdwardsScott CountyScottBarton CountyBartonUnited States of AmericaUnited StatesStafford CountyStaffordState Senate District 33KS-33Rice CountyRicePawnee CountyPawneeMidwestKansasPratt CountyPrattWest North CentralRush CountyRushNess CountyNessKiowa CountyKiowaLane CountyLaneHodgeman CountyHodgeman16.834532%16.834532%16.8%351113.692447%13.692447%13.7%455213.225505%13.225505%13.2%2,404313.020590%13.020590%13.0%27,818,38027.8M12.063172%12.063172%12.1%359411.709227%11.709227%11.7%5,56211.285266%11.285266%11.3%720510.728424%10.728424%10.7%542610.244520%10.244520%10.2%4,641,8354.64M9.691216%9.691216%9.7%182,049182k9.402655%9.402655%9.4%59579.174633%9.174633%9.2%1,278,0511.28M8.618450%8.618450%8.6%19988.529946%8.529946%8.5%18898.277541%8.277541%8.3%136106.917165%6.917165%6.9%81116.575145%6.575145%6.6%9112
Count number of people in category
# rank of county out of 12 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#66

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State Senate District 33, selected counties in State Senate District 33, and entities that contain State Senate District 33
0%10%20%30%Count#KansasUnited States of AmericaUnited StatesWest North CentralMidwestKiowa CountyKiowaScott CountyScottHodgeman CountyHodgemanPratt CountyPrattRush CountyRushRice CountyRicePawnee CountyPawneeStafford CountyStaffordLane CountyLaneState Senate District 33KS-33Ness CountyNessEdwards CountyEdwardsBarton CountyBarton31.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.328058%27.328058%27.3%449126.331628%26.331628%26.3%875225.722543%25.722543%25.7%356325.458281%25.458281%25.5%1,611423.733218%23.733218%23.7%548522.382445%22.382445%22.4%1,428622.367379%22.367379%22.4%1,130721.706989%21.706989%21.7%646821.263877%21.263877%21.3%249920.700617%20.700617%20.7%9,83320.145191%20.145191%20.1%4441018.225420%18.225420%18.2%3801116.702426%16.702426%16.7%3,03612
Count number of people in category
# rank of county out of 12 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#67

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State Senate District 33, selected counties in State Senate District 33, and entities that contain State Senate District 33
0%1%2%3%Count#United States of AmericaUnited StatesKansasWest North CentralMidwestRush CountyRushKiowa CountyKiowaRice CountyRiceScott CountyScottPawnee CountyPawneeBarton CountyBartonHodgeman CountyHodgemanState Senate District 33KS-33Pratt CountyPrattStafford CountyStaffordNess CountyNessEdwards CountyEdwardsLane CountyLane3.336158%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%1,311,0191.31M2.598528%2.598528%2.6%6012.008521%2.008521%2.0%3321.927900%1.927900%1.9%12331.865784%1.865784%1.9%6241.840855%1.840855%1.8%9351.518402%1.518402%1.5%27661.517341%1.517341%1.5%2171.448391%1.448391%1.4%6881.422250%1.422250%1.4%9080.840054%0.840054%0.8%2590.635209%0.635209%0.6%14100.527578%0.527578%0.5%11110.170794%0.170794%0.2%212
Count number of people in category
# rank of county out of 12 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#68

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 State Senate District 33, selected counties in State Senate District 33, and entities that contain State Senate District 33
Female
Male
1x0x1x2xFM#ScottPawneeLaneStaffordBartonKS-33EdwardsRiceKiowaHodgemanWest North CentralKansasMidwestUnited StatesNessPrattRush-1.000000x-1.000000x2.226597x2.226597x2.23x8.586%8.59%19.119%19.1%1-1.000000x-1.000000x2.054363x2.054363x2.05x6.645%6.64%13.650%13.7%2-1.000000x-1.000000x1.700623x1.700623x1.70x5.158%5.16%8.772%8.77%3-1.000000x-1.000000x1.674677x1.674677x1.67x9.085%9.08%15.214%15.2%4-1.000000x-1.000000x1.358369x1.358369x1.36x11.250%11.3%15.282%15.3%5-1.000000x-1.000000x1.350042x1.350042x1.35x9.972%9.97%13.463%13.5%-1.000000x-1.000000x1.349953x1.349953x1.35x14.286%14.3%19.285%19.3%6-1.000000x-1.000000x1.263521x1.263521x1.26x9.991%9.99%12.624%12.6%7-1.000000x-1.000000x1.156944x1.156944x1.16x7.683%7.68%8.889%8.89%8-1.000000x-1.000000x1.145698x1.145698x1.15x6.134%6.13%7.028%7.03%9-1.000000x-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%-1.018315x-1.018315x1.02x1.000000x1.000000x8.608%8.61%8.453%8.45%10-1.177260x-1.177260x1.18x1.000000x1.000000x10.106%10.1%8.584%8.58%11-1.225817x-1.225817x1.23x1.000000x1.000000x9.479%9.48%7.733%7.73%12
F percentage of females in category
M percentage of males in category
# rank of county out of 12 by male-to-female sex ratio

Over-Education Sex Ratio by County#69

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 State Senate District 33, selected counties in State Senate District 33, and entities that contain State Senate District 33
Female
Male
0x5x10xFM#NessHodgemanScottPawneePrattRiceKiowaStaffordKS-33MidwestWest North CentralKansasRushUnited StatesLaneBartonEdwards-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.092%0.09%1.169%1.17%1-1.000000x-1.000000x6.158126x6.158126x6.16x0.428%0.43%2.635%2.64%2-1.000000x-1.000000x5.526009x5.526009x5.53x0.584%0.58%3.228%3.23%3-1.000000x-1.000000x4.402769x4.402769x4.40x0.617%0.62%2.716%2.72%4-1.000000x-1.000000x3.825093x3.825093x3.83x0.617%0.62%2.360%2.36%5-1.000000x-1.000000x3.350906x3.350906x3.35x0.894%0.89%2.996%3.00%6-1.000000x-1.000000x3.213735x3.213735x3.21x0.960%0.96%3.086%3.09%7-1.000000x-1.000000x2.248444x2.248444x2.25x0.523%0.52%1.176%1.18%8-1.000000x-1.000000x1.921552x1.921552x1.92x0.993%0.99%1.908%1.91%-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-1.000000x1.543497x1.543497x1.54x2.050%2.05%3.163%3.16%9-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.054386x1.054386x1.05x0.166%0.17%0.175%0.18%10-1.003325x-1.003325x1.00x1.000000x1.000000x1.521%1.52%1.516%1.52%11-1.248141x-1.248141x1.25x1.000000x1.000000x0.587%0.59%0.470%0.47%12
F percentage of females in category
M percentage of males in category
# rank of county out of 12 by male-to-female sex ratio

Educational Attainment by County Subdivision in State Senate District 33

There are 136 county subdivisions that are fully or partially contained within State Senate District 33 (135 fully and 1 partially). This section compares the 50 most populous of those to each other, State Senate District 33, and other entities that contain or substantially overlap with State Senate District 33. The least populous of the compared county subdivisions has a population of 218.

No H.S. Diploma by County Subdivision#70

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State Senate District 33, selected county subdivisions in State Senate District 33, and entities that contain State Senate District 33
0%10%20%30%Count#Pawnee TownshipPawneeBuffalo TownshipBuffaloBelpre TownshipBelpreLincoln TownshipLincolnFarmington TownshipFarmingtonGarfield TownshipGarfieldPratt Township 1010Wayne TownshipWayneSanta Fe TownshipSanta FeKinsleyGreat BendComanche TownshipComancheScott CityHoisingtonUnited States of AmericaUnited StatesPratt Township 1111St. John TownshipSt. JohnEllinwoodStafford TownshipStaffordState Senate District 33KS-33Pioneer TownshipPioneerCenter TownshipCtrMidwestPrattWalnut TownshipWalnutLa Crosse-Brookdale TownshipLa Crosse-BrookdalePawnee Rock TownshipPawnee RockKansasTrenton TownshipTrentonWest North CentralCheyenne TownshipCheyenneLone Star TownshipLone StarKiowa Rural TownshipKiowa RuralGreat Bend TownshipGreat BendBazine TownshipBazineIndependent TownshipIndependentLarnedOhio TownshipNevada TownshipNevadaMarena TownshipMarenaBeaver TownshipBeaverDighton TownshipDightonCenter TownshipCtrOhio TownshipHampton-Fairview TownshipHampton-FairviewPratt Township 77Pratt Township 66Pratt Township 1212Farmer TownshipFarmerCenter TownshipCtrPratt Township 99South Bend TownshipS BendBrowns Grove TownshipBrowns GrvLiberty TownshipLibertyLarned TownshipLarned35.690236%35.690236%35.7%212128.476821%28.476821%28.5%86227.564103%27.564103%27.6%43327.202073%27.202073%27.2%105422.187500%22.187500%22.2%71521.505376%21.505376%21.5%40620.253165%20.253165%20.3%32719.461078%19.461078%19.5%65818.595041%18.595041%18.6%45918.327068%18.327068%18.3%1951015.641026%15.641026%15.6%1,5861115.000000%15.000000%15.0%601214.522822%14.522822%14.5%3851313.266583%13.266583%13.3%2121413.020590%13.020590%13.0%27,818,38027.8M12.937063%12.937063%12.9%371512.895070%12.895070%12.9%1021612.492528%12.492528%12.5%2091711.806375%11.806375%11.8%1001811.709227%11.709227%11.7%5,56211.406844%11.406844%11.4%301910.455764%10.455764%10.5%1172010.244520%10.244520%10.2%4,641,8354.64M10.191083%10.191083%10.2%4482110.057471%10.057471%10.1%35229.922179%9.922179%9.9%102239.765625%9.765625%9.8%25249.691216%9.691216%9.7%182,049182k9.677419%9.677419%9.7%18259.174633%9.174633%9.2%1,278,0511.28M9.128631%9.128631%9.1%22268.636364%8.636364%8.6%19278.277541%8.277541%8.3%136288.188976%8.188976%8.2%104298.163265%8.163265%8.2%20307.831325%7.831325%7.8%39317.355579%7.355579%7.4%205327.329843%7.329843%7.3%14337.210031%7.210031%7.2%23347.073955%7.073955%7.1%22357.011070%7.011070%7.0%19366.578947%6.578947%6.6%55376.551298%6.551298%6.6%53386.077348%6.077348%6.1%11395.970149%5.970149%6.0%12405.818182%5.818182%5.8%16415.732484%5.732484%5.7%18424.632588%4.632588%4.6%29434.377104%4.377104%4.4%13444.255319%4.255319%4.3%8453.864734%3.864734%3.9%8463.806228%3.806228%3.8%11473.734440%3.734440%3.7%9481.898734%1.898734%1.9%6490.000000%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 without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#71

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State Senate District 33, selected county subdivisions in State Senate District 33, and entities that contain State Senate District 33
0%10%20%30%40%Count#Pratt Township 99Pratt Township 66Browns Grove TownshipBrowns GrvLone Star TownshipLone StarPratt Township 1212Trenton TownshipTrentonKansasUnited States of AmericaUnited StatesWest North CentralMidwestMarena TownshipMarenaScott CityLarnedKiowa Rural TownshipKiowa RuralCenter TownshipCtrOhio TownshipComanche TownshipComancheSt. John TownshipSt. JohnOhio TownshipIndependent TownshipIndependentPratt Township 77Center TownshipCtrPrattBelpre TownshipBelpreFarmington TownshipFarmingtonFarmer TownshipFarmerDighton TownshipDightonLa Crosse-Brookdale TownshipLa Crosse-BrookdaleCheyenne TownshipCheyenneState Senate District 33KS-33Stafford TownshipStaffordLarned TownshipLarnedPratt Township 1010Nevada TownshipNevadaBeaver TownshipBeaverHampton-Fairview TownshipHampton-FairviewHoisingtonGreat BendSanta Fe TownshipSanta FeCenter TownshipCtrGreat Bend TownshipGreat BendPratt Township 1111Wayne TownshipWaynePioneer TownshipPioneerEllinwoodKinsleyWalnut TownshipWalnutBazine TownshipBazineLiberty TownshipLibertyPawnee Rock TownshipPawnee RockGarfield TownshipGarfieldSouth Bend TownshipS BendLincoln TownshipLincolnBuffalo TownshipBuffaloPawnee TownshipPawnee42.028986%42.028986%42.0%87141.719745%41.719745%41.7%131241.078838%41.078838%41.1%99339.090909%39.090909%39.1%86438.817891%38.817891%38.8%243532.258065%32.258065%32.3%60631.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.938907%28.938907%28.9%90727.951716%27.951716%28.0%741827.951202%27.951202%28.0%779927.328058%27.328058%27.3%4491026.328801%26.328801%26.3%2131126.178010%26.178010%26.2%501225.750000%25.750000%25.8%1031325.663717%25.663717%25.7%2031424.861878%24.861878%24.9%451524.096386%24.096386%24.1%1201623.636364%23.636364%23.6%651722.966935%22.966935%23.0%2571822.861692%22.861692%22.9%1,0051922.435897%22.435897%22.4%352021.562500%21.562500%21.6%692121.548822%21.548822%21.5%642221.291866%21.291866%21.3%1782321.206226%21.206226%21.2%2182421.161826%21.161826%21.2%512520.700617%20.700617%20.7%9,83319.126328%19.126328%19.1%1622619.095477%19.095477%19.1%382718.354430%18.354430%18.4%292817.868339%17.868339%17.9%572917.712177%17.712177%17.7%483017.412935%17.412935%17.4%353117.334168%17.334168%17.3%2773216.982249%16.982249%17.0%1,7223316.528926%16.528926%16.5%403416.489362%16.489362%16.5%313516.377953%16.377953%16.4%2083615.034965%15.034965%15.0%433714.970060%14.970060%15.0%503814.828897%14.828897%14.8%393914.345487%14.345487%14.3%2404014.003759%14.003759%14.0%1494113.218391%13.218391%13.2%464211.836735%11.836735%11.8%294310.126582%10.126582%10.1%32449.765625%9.765625%9.8%25458.602151%8.602151%8.6%16468.304498%8.304498%8.3%24478.290155%8.290155%8.3%32486.953642%6.953642%7.0%21491.346801%1.346801%1.3%850
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#72

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State Senate District 33, selected county subdivisions in State Senate District 33, and entities that contain State Senate District 33
0%1%2%3%4%5%Count#Pratt Township 1010Santa Fe TownshipSanta FeLa Crosse-Brookdale TownshipLa Crosse-BrookdaleLarned TownshipLarnedUnited States of AmericaUnited StatesKansasWest North CentralMidwestSt. John TownshipSt. JohnLarnedIndependent TownshipIndependentScott CityKiowa Rural TownshipKiowa RuralCenter TownshipCtrGreat Bend TownshipGreat BendPratt Township 77Great BendGarfield TownshipGarfieldMarena TownshipMarenaOhio TownshipPratt Township 99State Senate District 33KS-33PrattPratt Township 1212Pratt Township 66EllinwoodNevada TownshipNevadaCenter TownshipCtrHoisingtonCheyenne TownshipCheyenneCenter TownshipCtrKinsleyWalnut TownshipWalnutTrenton TownshipTrentonHampton-Fairview TownshipHampton-FairviewBrowns Grove TownshipBrowns GrvBazine TownshipBazineLincoln TownshipLincolnStafford TownshipStaffordDighton TownshipDightonComanche TownshipComanchePawnee TownshipPawneeBuffalo TownshipBuffaloFarmington TownshipFarmingtonWayne TownshipWaynePratt Township 1111Liberty TownshipLibertyPioneer TownshipPioneerPawnee Rock TownshipPawnee RockSouth Bend TownshipS BendBeaver TownshipBeaverFarmer TownshipFarmerLone Star TownshipLone StarBelpre TownshipBelpreOhio Township5.063291%5.063291%5.1%814.132231%4.132231%4.1%1024.085603%4.085603%4.1%4234.020101%4.020101%4.0%843.336158%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%1,311,0191.31M2.781290%2.781290%2.8%2252.439900%2.439900%2.4%6862.409639%2.409639%2.4%1272.338740%2.338740%2.3%6282.008521%2.008521%2.0%3391.977750%1.977750%2.0%16101.889764%1.889764%1.9%24111.818182%1.818182%1.8%5121.715976%1.715976%1.7%174131.612903%1.612903%1.6%3141.607717%1.607717%1.6%5151.570681%1.570681%1.6%3161.449275%1.449275%1.4%3171.448391%1.448391%1.4%6881.410373%1.410373%1.4%62181.277955%1.277955%1.3%8191.273885%1.273885%1.3%4201.255230%1.255230%1.3%21211.253918%1.253918%1.3%4221.063830%1.063830%1.1%2231.001252%1.001252%1.0%16240.829876%0.829876%0.8%2250.804290%0.804290%0.8%9260.751880%0.751880%0.8%8270.574713%0.574713%0.6%2280.537634%0.537634%0.5%1290.497512%0.497512%0.5%1300.414938%0.414938%0.4%1310.408163%0.408163%0.4%1320.259067%0.259067%0.3%1330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%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#73

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 State Senate District 33, selected county subdivisions in State Senate District 33, and entities that contain State Senate District 33
Female
Male
10x5x0x5x10xFM#Great BendS Bend7DightonPioneerBrowns GrvPawnee RockStaffordWayneScott CityWalnutTrentonOhio Township106CtrEllinwoodGarfieldCtrNevada11KinsleyKS-33CtrFarmerGreat BendBeaverBuffaloFarmingtonKiowa RuralWest North CentralKansasMidwestUnited StatesLarnedHoisington12St. JohnLone Star9IndependentLincolnOhio TownshipComancheHampton-FairviewBelprePrattCheyenneLa Crosse-BrookdaleMarenaSanta FeBazineLiberty-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%14.345%14.3%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.962%6.96%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.709%0.71%11.194%11.2%3-1.000000x-1.000000x3.253968x3.253968x3.25x3.182%3.18%10.354%10.4%4-1.000000x-1.000000x3.211600x3.211600x3.21x5.385%5.38%17.293%17.3%5-1.000000x-1.000000x3.141732x3.141732x3.14x1.754%1.75%5.512%5.51%6-1.000000x-1.000000x2.415584x2.415584x2.42x5.645%5.65%13.636%13.6%7-1.000000x-1.000000x2.125136x2.125136x2.13x7.743%7.74%16.456%16.5%8-1.000000x-1.000000x2.021289x2.021289x2.02x12.805%12.8%25.882%25.9%9-1.000000x-1.000000x1.996981x1.996981x2.00x9.871%9.87%19.713%19.7%10-1.000000x-1.000000x1.922359x1.922359x1.92x6.748%6.75%12.973%13.0%11-1.000000x-1.000000x1.915789x1.915789x1.92x6.593%6.59%12.632%12.6%12-1.000000x-1.000000x1.896774x1.896774x1.90x5.102%5.10%9.677%9.68%13-1.000000x-1.000000x1.881563x1.881563x1.88x13.433%13.4%25.275%25.3%14-1.000000x-1.000000x1.829268x1.829268x1.83x4.000%4.00%7.317%7.32%15-1.000000x-1.000000x1.739130x1.739130x1.74x3.125%3.13%5.435%5.43%16-1.000000x-1.000000x1.731105x1.731105x1.73x9.287%9.29%16.076%16.1%17-1.000000x-1.000000x1.635789x1.635789x1.64x17.117%17.1%28.000%28.0%18-1.000000x-1.000000x1.458001x1.458001x1.46x5.386%5.39%7.853%7.85%19-1.000000x-1.000000x1.392857x1.392857x1.39x6.061%6.06%8.442%8.44%20-1.000000x-1.000000x1.392007x1.392007x1.39x10.968%11.0%15.267%15.3%21-1.000000x-1.000000x1.379259x1.379259x1.38x15.355%15.4%21.179%21.2%22-1.000000x-1.000000x1.350042x1.350042x1.35x9.972%9.97%13.463%13.5%-1.000000x-1.000000x1.295255x1.295255x1.30x9.091%9.09%11.775%11.8%23-1.000000x-1.000000x1.290780x1.290780x1.29x3.846%3.85%4.965%4.96%24-1.000000x-1.000000x1.276094x1.276094x1.28x13.844%13.8%17.667%17.7%25-1.000000x-1.000000x1.241319x1.241319x1.24x6.294%6.29%7.813%7.81%26-1.000000x-1.000000x1.208097x1.208097x1.21x25.397%25.4%30.682%30.7%27-1.000000x-1.000000x1.158676x1.158676x1.16x20.690%20.7%23.973%24.0%28-1.000000x-1.000000x1.156944x1.156944x1.16x7.683%7.68%8.889%8.89%29-1.000000x-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-1.000000x1.055622x1.055622x1.06x7.153%7.15%7.551%7.55%30-1.000000x-1.000000x1.049141x1.049141x1.05x12.944%12.9%13.580%13.6%31-1.000000x-1.000000x1.047232x1.047232x1.05x4.532%4.53%4.746%4.75%32-1.000000x-1.000000x1.041337x1.041337x1.04x12.649%12.6%13.172%13.2%33-1.041176x-1.041176x1.04x1.000000x1.000000x8.824%8.82%8.475%8.47%34-1.090909x-1.090909x1.09x1.000000x1.000000x4.040%4.04%3.704%3.70%35-1.104613x-1.104613x1.10x1.000000x1.000000x8.230%8.23%7.451%7.45%36-1.138520x-1.138520x1.14x1.000000x1.000000x29.032%29.0%25.500%25.5%37-1.268182x-1.268182x1.27x1.000000x1.000000x6.818%6.82%5.376%5.38%38-1.316901x-1.316901x1.32x1.000000x1.000000x16.901%16.9%12.834%12.8%39-1.442424x-1.442424x1.44x1.000000x1.000000x7.071%7.07%4.902%4.90%40-1.490692x-1.490692x1.49x1.000000x1.000000x32.911%32.9%22.078%22.1%41-1.525567x-1.525567x1.53x1.000000x1.000000x12.056%12.1%7.903%7.90%42-1.663690x-1.663690x1.66x1.000000x1.000000x11.607%11.6%6.977%6.98%43-2.365257x-2.365257x2.37x1.000000x1.000000x13.774%13.8%5.823%5.82%44-2.718615x-2.718615x2.72x1.000000x1.000000x10.390%10.4%3.822%3.82%45-2.840580x-2.840580x2.84x1.000000x1.000000x39.130%39.1%13.776%13.8%46-3.424242x-3.424242x3.42x1.000000x1.000000x12.121%12.1%3.540%3.54%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.750%3.75%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

Over-Education Sex Ratio by County Subdivision#74

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 State Senate District 33, selected county subdivisions in State Senate District 33, and entities that contain State Senate District 33
Female
Male
10x5x0x5x10xFM#Great BendCtr12Walnut6NevadaSanta FeBrowns Grv10Ohio TownshipHampton-FairviewGarfieldLarnedCtrScott CityPrattMarenaKiowa RuralLa Crosse-BrookdaleSt. JohnKS-33MidwestWest North CentralKansasUnited StatesEllinwoodGreat BendCheyenneKinsleyIndependentHoisingtonLincolnBazine79TrentonLarnedCtr-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.310%3.31%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.582%1.58%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.712%2.71%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.081%1.08%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.439%2.44%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.597%2.60%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.102%5.10%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.787%0.79%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%8.791%8.79%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.226%3.23%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.980%0.98%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.000%4.00%12-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.219%0.22%4.587%4.59%13-1.000000x-1.000000x7.824607x7.824607x7.82x0.468%0.47%3.665%3.66%14-1.000000x-1.000000x5.801756x5.801756x5.80x0.715%0.72%4.150%4.15%15-1.000000x-1.000000x4.624659x4.624659x4.62x0.537%0.54%2.482%2.48%16-1.000000x-1.000000x3.923567x3.923567x3.92x0.649%0.65%2.548%2.55%17-1.000000x-1.000000x3.213735x3.213735x3.21x0.960%0.96%3.086%3.09%18-1.000000x-1.000000x2.999270x2.999270x3.00x2.075%2.08%6.225%6.22%19-1.000000x-1.000000x1.971102x1.971102x1.97x1.909%1.91%3.763%3.76%20-1.000000x-1.000000x1.921552x1.921552x1.92x0.993%0.99%1.908%1.91%-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-1.000000x1.229494x1.229494x1.23x1.133%1.13%1.392%1.39%21-1.000000x-1.000000x1.052399x1.052399x1.05x1.675%1.67%1.762%1.76%22-1.151786x-1.151786x1.15x1.000000x1.000000x0.893%0.89%0.775%0.78%23-1.737044x-1.737044x1.74x1.000000x1.000000x0.960%0.96%0.552%0.55%24-5.246914x-5.246914x5.25x1.000000x1.000000x4.115%4.12%0.784%0.78%25-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.030%2.03%0.000%0%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.538%0.54%0.000%0%27-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.758%0.76%0.000%0%28-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.546%3.55%0.000%0%29-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.030%3.03%0.000%0%30-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.099%1.10%0.000%0%31-10.000000x-10.000000x> 10.0x1.000000x1.000000x7.143%7.14%0.000%0%32-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.083%2.08%0.000%0%33
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 33 by male-to-female sex ratio

Educational Attainment by Upper State Legislative District in Kansas

There are 40 upper state legislative districts in Kansas. This section compares State Senate District 33 to all of the upper state legislative districts in Kansas and to those entities that contain or substantially overlap with State Senate District 33.

No H.S. Diploma by Upper State Legislative District#75

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State Senate District 33, selected other upper state legislative districts in Kansas, and entities that contain State Senate District 33
0%10%20%Count#State Senate District 38KS-38State Senate District 39KS-39State Senate District 4KS-4State Senate District 6KS-6State Senate District 29KS-29State Senate District 25KS-25State Senate District 28KS-28United States of AmericaUnited StatesState Senate District 34KS-34State Senate District 33KS-33State Senate District 19KS-19State Senate District 15KS-15State Senate District 13KS-13State Senate District 24KS-24MidwestState Senate District 32KS-32KansasState Senate District 35KS-35State Senate District 17KS-17State Senate District 14KS-14West North CentralState Senate District 12KS-12State Senate District 5KS-5State Senate District 18KS-18State Senate District 30KS-30State Senate District 26KS-26State Senate District 31KS-31State Senate District 40KS-40State Senate District 36KS-36State Senate District 3KS-3State Senate District 1KS-1State Senate District 9KS-9State Senate District 23KS-23State Senate District 21KS-21State Senate District 20KS-20State Senate District 10KS-10State Senate District 2KS-2State Senate District 22KS-22State Senate District 16KS-16State Senate District 27KS-27State Senate District 37KS-37State Senate District 8KS-8State Senate District 7KS-7State Senate District 11KS-1128.452284%28.452284%28.5%11,87211.9k124.876642%24.876642%24.9%10,43610.4k224.282352%24.282352%24.3%11,03911.0k323.410807%23.410807%23.4%10,26410.3k418.890034%18.890034%18.9%7,883518.477063%18.477063%18.5%8,551616.397059%16.397059%16.4%7,359713.020590%13.020590%13.0%27,818,38027.8M12.177976%12.177976%12.2%5,786811.709227%11.709227%11.7%5,562911.698776%11.698776%11.7%5,4591010.830880%10.830880%10.8%5,0031110.727952%10.727952%10.7%4,8501210.356752%10.356752%10.4%4,8221310.244520%10.244520%10.2%4,641,8354.64M9.795731%9.795731%9.8%4,479149.691216%9.691216%9.7%182,049182k9.690670%9.690670%9.7%4,624159.576010%9.576010%9.6%4,097169.480752%9.480752%9.5%4,561179.174633%9.174633%9.2%1,278,0511.28M8.852128%8.852128%8.9%4,115188.634770%8.634770%8.6%4,187198.401294%8.401294%8.4%3,894208.255974%8.255974%8.3%4,011217.996481%7.996481%8.0%3,727227.797169%7.797169%7.8%3,735237.352276%7.352276%7.4%3,576247.169614%7.169614%7.2%3,426257.103366%7.103366%7.1%3,379267.013761%7.013761%7.0%3,318276.740679%6.740679%6.7%3,303286.294532%6.294532%6.3%2,827295.763627%5.763627%5.8%2,967305.605602%5.605602%5.6%2,794315.239180%5.239180%5.2%2,553324.970718%4.970718%5.0%2,385334.583389%4.583389%4.6%2,065344.484825%4.484825%4.5%2,125354.094046%4.094046%4.1%1,952363.868093%3.868093%3.9%1,858372.651650%2.651650%2.7%1,342382.186860%2.186860%2.2%1,142391.441596%1.441596%1.4%72140
Count number of people in category
# rank of upper state legislative district out of 40 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Upper State Legislative District#76

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State Senate District 33, selected other upper state legislative districts in Kansas, and entities that contain State Senate District 33
0%20%40%60%Count#State Senate District 11KS-11State Senate District 7KS-7State Senate District 8KS-8State Senate District 21KS-21State Senate District 2KS-2State Senate District 10KS-10State Senate District 23KS-23State Senate District 9KS-9State Senate District 37KS-37State Senate District 16KS-16State Senate District 22KS-22State Senate District 27KS-27State Senate District 30KS-30State Senate District 20KS-20State Senate District 3KS-3State Senate District 31KS-31KansasUnited States of AmericaUnited StatesState Senate District 5KS-5West North CentralMidwestState Senate District 40KS-40State Senate District 26KS-26State Senate District 18KS-18State Senate District 17KS-17State Senate District 35KS-35State Senate District 13KS-13State Senate District 24KS-24State Senate District 29KS-29State Senate District 36KS-36State Senate District 1KS-1State Senate District 19KS-19State Senate District 33KS-33State Senate District 32KS-32State Senate District 34KS-34State Senate District 14KS-14State Senate District 12KS-12State Senate District 25KS-25State Senate District 15KS-15State Senate District 39KS-39State Senate District 6KS-6State Senate District 38KS-38State Senate District 28KS-28State Senate District 4KS-470.128364%70.128364%70.1%35,07435.1k163.024454%63.024454%63.0%32,91232.9k259.727327%59.727327%59.7%30,22830.2k349.438595%49.438595%49.4%25,45025.5k448.996478%48.996478%49.0%23,50923.5k545.558087%45.558087%45.6%22,20022.2k645.475597%45.475597%45.5%20,42420.4k743.919512%43.919512%43.9%21,52121.5k843.200650%43.200650%43.2%20,75120.8k942.590013%42.590013%42.6%20,18020.2k1042.251520%42.251520%42.3%19,03619.0k1141.338954%41.338954%41.3%19,71019.7k1240.876438%40.876438%40.9%19,85919.9k1337.561945%37.561945%37.6%18,72218.7k1434.329080%34.329080%34.3%16,33016.3k1532.236650%32.236650%32.2%15,44215.4k1631.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.070118%30.070118%30.1%14,58114.6k1730.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M26.814425%26.814425%26.8%13,04213.0k1826.714298%26.714298%26.7%12,45112.5k1926.619202%26.619202%26.6%12,33812.3k2025.219708%25.219708%25.2%10,79010.8k2123.958421%23.958421%24.0%11,43211.4k2223.891261%23.891261%23.9%10,80110.8k2323.110462%23.110462%23.1%10,76010.8k2421.506794%21.506794%21.5%8,9752521.194936%21.194936%21.2%10,12810.1k2621.113155%21.113155%21.1%9,9882721.085228%21.085228%21.1%9,8392820.700617%20.700617%20.7%9,8332919.770799%19.770799%19.8%9,0403019.536117%19.536117%19.5%9,2823119.242122%19.242122%19.2%9,2573218.637869%18.637869%18.6%8,6643318.148620%18.148620%18.1%8,3993418.117856%18.117856%18.1%8,3693517.839861%17.839861%17.8%7,4843616.705061%16.705061%16.7%7,3243716.656281%16.656281%16.7%6,9503815.550357%15.550357%15.6%6,9793912.641605%12.641605%12.6%5,74740
Count number of people in category
# rank of upper state legislative district out of 40 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Upper State Legislative District#77

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State Senate District 33, selected other upper state legislative districts in Kansas, and entities that contain State Senate District 33
0%2%4%6%8%10%Count#State Senate District 11KS-11State Senate District 7KS-7State Senate District 2KS-2State Senate District 22KS-22State Senate District 30KS-30State Senate District 8KS-8State Senate District 20KS-20State Senate District 21KS-21State Senate District 10KS-10State Senate District 16KS-16State Senate District 37KS-37State Senate District 3KS-3United States of AmericaUnited StatesKansasWest North CentralState Senate District 9KS-9MidwestState Senate District 18KS-18State Senate District 24KS-24State Senate District 23KS-23State Senate District 29KS-29State Senate District 31KS-31State Senate District 27KS-27State Senate District 17KS-17State Senate District 13KS-13State Senate District 40KS-40State Senate District 36KS-36State Senate District 19KS-19State Senate District 35KS-35State Senate District 6KS-6State Senate District 5KS-5State Senate District 1KS-1State Senate District 15KS-15State Senate District 33KS-33State Senate District 12KS-12State Senate District 39KS-39State Senate District 25KS-25State Senate District 32KS-32State Senate District 34KS-34State Senate District 38KS-38State Senate District 26KS-26State Senate District 14KS-14State Senate District 28KS-28State Senate District 4KS-410.281121%10.281121%10.3%5,14219.685759%9.685759%9.7%5,05828.924366%8.924366%8.9%4,28237.324544%7.324544%7.3%3,30045.300208%5.300208%5.3%2,57555.151156%5.151156%5.2%2,60764.672672%4.672672%4.7%2,32974.512607%4.512607%4.5%2,32383.858072%3.858072%3.9%1,88093.701828%3.701828%3.7%1,754103.449640%3.449640%3.4%1,657113.418193%3.418193%3.4%1,626123.336158%3.336158%3.3%7,127,6737.13M3.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.940756%2.940756%2.9%1,441132.893416%2.893416%2.9%1,311,0191.31M2.781014%2.781014%2.8%1,289142.366889%2.366889%2.4%1,102152.360171%2.360171%2.4%1,060162.343582%2.343582%2.3%978172.342282%2.342282%2.3%1,122182.162378%2.162378%2.2%1,031192.155011%2.155011%2.2%922202.048265%2.048265%2.0%926211.875077%1.875077%1.9%912221.875065%1.875065%1.9%896231.840859%1.840859%1.8%859241.819096%1.819096%1.8%868251.811007%1.811007%1.8%794261.808620%1.808620%1.8%877271.760839%1.760839%1.8%833281.645307%1.645307%1.6%760291.448391%1.448391%1.4%688301.421933%1.421933%1.4%661311.280065%1.280065%1.3%537321.251107%1.251107%1.3%579331.233488%1.233488%1.2%564341.170231%1.170231%1.2%556351.018550%1.018550%1.0%425360.907570%0.907570%0.9%423370.858485%0.858485%0.9%413380.779857%0.779857%0.8%350390.706100%0.706100%0.7%32140
Count number of people in category
# rank of upper state legislative district out of 40 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 Upper State Legislative District#78

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 State Senate District 33, selected other upper state legislative districts in Kansas, and entities that contain State Senate District 33
Female
Male
1x0x1xFM#KS-14KS-33KS-18KS-9KS-40KS-13KS-37KS-3KS-4KS-12KS-31KS-2KS-34KS-5KS-15KS-21West North CentralKS-28KansasKS-6KS-36MidwestKS-19United StatesKS-23KS-38KS-39KS-16KS-29KS-25KS-35KS-24KS-32KS-26KS-1KS-20KS-17KS-8KS-10KS-7KS-11KS-30KS-22KS-27-1.000000x-1.000000x1.447893x1.447893x1.45x7.741%7.74%11.209%11.2%1-1.000000x-1.000000x1.350042x1.350042x1.35x9.972%9.97%13.463%13.5%2-1.000000x-1.000000x1.341873x1.341873x1.34x7.193%7.19%9.652%9.65%3-1.000000x-1.000000x1.339802x1.339802x1.34x5.795%5.80%7.764%7.76%4-1.000000x-1.000000x1.310198x1.310198x1.31x6.358%6.36%8.331%8.33%5-1.000000x-1.000000x1.307677x1.307677x1.31x9.351%9.35%12.228%12.2%6-1.000000x-1.000000x1.302987x1.302987x1.30x3.361%3.36%4.380%4.38%7-1.000000x-1.000000x1.269696x1.269696x1.27x6.258%6.26%7.945%7.95%8-1.000000x-1.000000x1.256768x1.256768x1.26x21.657%21.7%27.218%27.2%9-1.000000x-1.000000x1.254196x1.254196x1.25x7.884%7.88%9.888%9.89%10-1.000000x-1.000000x1.227546x1.227546x1.23x7.031%7.03%8.631%8.63%11-1.000000x-1.000000x1.189156x1.189156x1.19x4.549%4.55%5.410%5.41%12-1.000000x-1.000000x1.187075x1.187075x1.19x11.148%11.1%13.234%13.2%13-1.000000x-1.000000x1.180183x1.180183x1.18x7.879%7.88%9.299%9.30%14-1.000000x-1.000000x1.174887x1.174887x1.17x9.993%9.99%11.741%11.7%15-1.000000x-1.000000x1.167034x1.167034x1.17x5.339%5.34%6.231%6.23%16-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136924x1.136924x1.14x15.371%15.4%17.476%17.5%17-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.133333x1.133333x1.13x21.948%21.9%24.875%24.9%18-1.000000x-1.000000x1.131273x1.131273x1.13x6.737%6.74%7.621%7.62%19-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.124508x1.124508x1.12x11.050%11.0%12.426%12.4%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.097470x1.097470x1.10x6.008%6.01%6.594%6.59%21-1.000000x-1.000000x1.096283x1.096283x1.10x27.126%27.1%29.738%29.7%22-1.000000x-1.000000x1.093259x1.093259x1.09x23.773%23.8%25.990%26.0%23-1.000000x-1.000000x1.077163x1.077163x1.08x4.325%4.32%4.658%4.66%24-1.000000x-1.000000x1.076897x1.076897x1.08x18.195%18.2%19.594%19.6%25-1.000000x-1.000000x1.076196x1.076196x1.08x17.801%17.8%19.158%19.2%26-1.000000x-1.000000x1.044408x1.044408x1.04x9.482%9.48%9.903%9.90%27-1.000000x-1.000000x1.027088x1.027088x1.03x10.222%10.2%10.499%10.5%28-1.000000x-1.000000x1.007179x1.007179x1.01x9.761%9.76%9.831%9.83%29-1.040783x-1.040783x1.04x1.000000x1.000000x8.151%8.15%7.831%7.83%30-1.057310x-1.057310x1.06x1.000000x1.000000x7.205%7.20%6.814%6.81%31-1.068331x-1.068331x1.07x1.000000x1.000000x5.777%5.78%5.408%5.41%32-1.075556x-1.075556x1.08x1.000000x1.000000x9.924%9.92%9.226%9.23%33-1.078380x-1.078380x1.08x1.000000x1.000000x2.743%2.74%2.544%2.54%34-1.100807x-1.100807x1.10x1.000000x1.000000x5.481%5.48%4.979%4.98%35-1.114438x-1.114438x1.11x1.000000x1.000000x2.298%2.30%2.062%2.06%36-1.116320x-1.116320x1.12x1.000000x1.000000x1.517%1.52%1.359%1.36%37-1.156138x-1.156138x1.16x1.000000x1.000000x8.828%8.83%7.636%7.64%38-1.160412x-1.160412x1.16x1.000000x1.000000x4.935%4.94%4.253%4.25%39-1.191625x-1.191625x1.19x1.000000x1.000000x4.428%4.43%3.716%3.72%40
F percentage of females in category
M percentage of males in category
# rank of upper state legislative district out of 40 by male-to-female sex ratio

Over-Education Sex Ratio by Upper State Legislative District#79

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 State Senate District 33, selected other upper state legislative districts in Kansas, and entities that contain State Senate District 33
Female
Male
1x0x1x2xFM#KS-34KS-30KS-16KS-14KS-4KS-32KS-12KS-17KS-11KS-33KS-27KS-29KS-20KS-8KS-15KS-9KS-21KS-24KS-23KS-39MidwestKS-19KS-7West North CentralKansasKS-36United StatesKS-13KS-31KS-35KS-37KS-22KS-6KS-1KS-10KS-2KS-5KS-38KS-40KS-18KS-28KS-25KS-3KS-26-1.000000x-1.000000x2.724277x2.724277x2.72x0.632%0.63%1.722%1.72%1-1.000000x-1.000000x2.488181x2.488181x2.49x3.093%3.09%7.696%7.70%2-1.000000x-1.000000x2.367318x2.367318x2.37x2.235%2.24%5.292%5.29%3-1.000000x-1.000000x2.237225x2.237225x2.24x0.530%0.53%1.185%1.19%4-1.000000x-1.000000x2.204967x2.204967x2.20x0.450%0.45%0.992%0.99%5-1.000000x-1.000000x2.160920x2.160920x2.16x0.783%0.78%1.693%1.69%6-1.000000x-1.000000x2.031187x2.031187x2.03x0.949%0.95%1.928%1.93%7-1.000000x-1.000000x2.014903x2.014903x2.01x1.431%1.43%2.883%2.88%8-1.000000x-1.000000x1.957108x1.957108x1.96x7.053%7.05%13.804%13.8%9-1.000000x-1.000000x1.921552x1.921552x1.92x0.993%0.99%1.908%1.91%10-1.000000x-1.000000x1.907384x1.907384x1.91x1.517%1.52%2.893%2.89%11-1.000000x-1.000000x1.769014x1.769014x1.77x1.696%1.70%3.000%3.00%12-1.000000x-1.000000x1.759904x1.759904x1.76x3.453%3.45%6.077%6.08%13-1.000000x-1.000000x1.758242x1.758242x1.76x3.823%3.82%6.721%6.72%14-1.000000x-1.000000x1.732102x1.732102x1.73x1.218%1.22%2.110%2.11%15-1.000000x-1.000000x1.692938x1.692938x1.69x2.207%2.21%3.735%3.74%16-1.000000x-1.000000x1.690462x1.690462x1.69x3.396%3.40%5.741%5.74%17-1.000000x-1.000000x1.626655x1.626655x1.63x1.815%1.81%2.952%2.95%18-1.000000x-1.000000x1.605266x1.605266x1.61x1.821%1.82%2.923%2.92%19-1.000000x-1.000000x1.595439x1.595439x1.60x0.987%0.99%1.575%1.58%20-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582451x1.582451x1.58x1.444%1.44%2.285%2.29%21-1.000000x-1.000000x1.579995x1.579995x1.58x7.605%7.61%12.016%12.0%22-1.000000x-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-1.000000x1.553903x1.553903x1.55x1.475%1.48%2.292%2.29%23-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.483808x1.483808x1.48x1.663%1.66%2.468%2.47%24-1.000000x-1.000000x1.444716x1.444716x1.44x1.931%1.93%2.790%2.79%25-1.000000x-1.000000x1.440997x1.440997x1.44x1.493%1.49%2.152%2.15%26-1.000000x-1.000000x1.428596x1.428596x1.43x2.843%2.84%4.062%4.06%27-1.000000x-1.000000x1.427014x1.427014x1.43x6.003%6.00%8.566%8.57%28-1.000000x-1.000000x1.392519x1.392519x1.39x1.514%1.51%2.108%2.11%29-1.000000x-1.000000x1.361843x1.361843x1.36x1.496%1.50%2.038%2.04%30-1.000000x-1.000000x1.345210x1.345210x1.35x3.308%3.31%4.450%4.45%31-1.000000x-1.000000x1.330399x1.330399x1.33x7.682%7.68%10.220%10.2%32-1.000000x-1.000000x1.324431x1.324431x1.32x1.542%1.54%2.043%2.04%33-1.000000x-1.000000x1.294577x1.294577x1.29x0.886%0.89%1.147%1.15%34-1.000000x-1.000000x1.248679x1.248679x1.25x1.666%1.67%2.081%2.08%35-1.000000x-1.000000x1.221585x1.221585x1.22x2.508%2.51%3.064%3.06%36-1.000000x-1.000000x1.164965x1.164965x1.16x0.722%0.72%0.841%0.84%37-1.279271x-1.279271x1.28x1.000000x1.000000x1.404%1.40%1.097%1.10%38-1.318864x-1.318864x1.32x1.000000x1.000000x3.889%3.89%2.949%2.95%39-1.334094x-1.334094x1.33x1.000000x1.000000x1.032%1.03%0.774%0.77%40
F percentage of females in category
M percentage of males in category
# rank of upper state legislative district out of 40 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:
Kansas
Counties:
Barton, Edwards, Hodgeman, Kiowa, Lane, Ness, Pawnee, Pratt, Rice, Rush, Scott, Stafford
Metro Area:
Great Bend Area
Cities:
Albert, Alden, Alexander, Bazine, Belpre, Bison, Brownell, Burdett, Bushton, Byers, Chase, Claflin, Coats, Cullison, Dighton, Ellinwood, Frederick, Galatia, Garfield, Great Bend, Greensburg, Hanston, Haviland, Hoisington, Hudson, Iuka, Jetmore, Kinsley, La Crosse, Larned, Lewis, Liebenthal, Macksville, McCracken, Mullinville, Ness City, Offerle, Olmitz, Otis, Pawnee Rock, Pratt, Preston, Radium, Ransom, Raymond, Rozel, Rush Center, Sawyer, Scott City, Seward, St. John, Stafford, Susank, Timken, Utica
Townships:
6, 7, 8, 9, 10, 11, 12, Alamota, Albano, Albion, Alexander-Belle Prairie, Ash Valley, Banner, Bazine, Beaver, Beaver, Bell, Belpre, Big Timber, Browns Grove, Buffalo, Byron, Center, Center, Center, Center, Cheyenne, Cheyenne, Clarence, Clear Creek, Cleveland, Cleveland, Comanche, Conkling, Dighton, Douglas, East Cooper, Eden, Eureka, Eureka, Fairview, Fairview, Farmer, Farmington, Forrester, Franklin, Franklin, Garfield, Garfield, Grant, Grant, Great Bend, Hallet, Hampton-Fairview, Hayes, Highpoint, Illinois, Independent, Isbel, Jackson, Johnson, Keystone, Keysville, Kinsley, Kiowa Rural, La Crosse-Brookdale, Lake, Lakin, Larned, Liberty, Lincoln, Lincoln, Lincoln, Lincoln, Logan, Logan, Logan, Lone Star, Marena, Michigan, Morton, Nevada, North Brown, North Homestead, North Roscoe, North Seward, Ohio, Ohio, Orange, Pawnee, Pawnee Rock, Pioneer, Pioneer, Pleasant Grove, Pleasant Ridge, Pleasant Valley, Pleasantdale, Putnam, Raymond, Richland, River, Rose Valley, Santa Fe, Sawmill, Scott, Shiley, South Bend, South Brown, South Homestead, South Seward, St. John, Stafford, Trenton, Union, Union, Union, Valley, Valley, Valley, Valley Center, Walnut, Walnut, Waring, Wayne, West Cooper, Wheatland, White Rock, Wilson, York
Unincorporated Places:
Healy, Odin
Congressional Districts:
KS-1, KS-4
State House Districts:
KS-108, KS-109, KS-112, KS-113, KS-117, KS-118
Unified School Districts:
Barber County North 254, Central Plains 112, Chase-Raymond 401, Comanche County 300, Cunningham 332, Dighton 482, Ellinwood 355, Fairfield 310, Fort Larned 495, Great Bend 428, Greensburg 422, Haviland 474, Hays 489, Healy 468, Hoisington 431, Jetmore 227, Kinsley-Offerle 347, LaCrosse 395, Lewis 502, Macksville 351, Ness 303, Otis-Bison 403, Pawnee Heights 496, Pratt 382, Scott County 466, Skyline 438, St. John-Hudson 350, Stafford 349, Sterling 376, Victoria 432, Western Plains 106
ZIP Codes:
67021, 67028, 67029, 67035, 67054, 67059, 67065, 67066, 67109, 67124, 67134, 67155, 67427, 67444, 67450, 67511, 67512, 67513, 67515, 67516, 67518, 67519, 67520, 67521, 67523, 67524, 67525, 67526, 67529, 67530, 67544, 67545, 67547, 67548, 67550, 67552, 67553, 67554, 67556, 67557, 67559, 67560, 67563, 67564, 67565, 67567, 67572, 67573, 67574, 67575, 67576, 67578, 67579, 67583, 67584, 67665, 67839, 67846, 67849, 67850, 67854, 67863, 67871, 67876
Neighboring State Senate Districts:
KS-32, KS-34, KS-35, KS-36, KS-38, KS-39, KS-40