Educational Attainment in the Kaw Township, Jackson County, Missouri (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Jackson County and the Kaw Township
Kaw Township
Jackson County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma246.908449%36.610601%46.908449%46.9%57,10457.1k40.635807%53.215407%40.635807%40.6%49,46849.5k12.455744%10.173992%12.455744%12.5%15,16315.2k
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 Jackson County at large.
Scope: population of Jackson County and the Kaw Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma228.128050%28.128050%+28.1%46.908%46.9%36.611%36.6%-23.639019%-23.639019%-23.6%40.636%40.6%53.215%53.2%22.427305%22.427305%+22.4%12.456%12.5%10.174%10.2%
% percentage with given level in the Kaw Township
ref. percentage with given level in Jackson County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Jackson County and the Kaw Township
Kaw Township
Jackson County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.938637%1.079716%1.938637%1.9%2,3603.957777%1.937042%3.957777%4.0%4,81811.148807%7.725952%11.148807%11.1%13,57213.6k24.536082%18.683865%24.536082%24.5%29,86929.9k5.327145%7.184024%5.327145%5.3%6,48519.205652%23.859839%19.205652%19.2%23,38023.4k21.430156%29.355568%21.430156%21.4%26,08826.1k7.860517%6.939634%7.860517%7.9%9,5693.064033%2.238283%3.064033%3.1%3,7301.531195%0.996075%1.531195%1.5%1,864
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 Jackson County at large.
Scope: population of Jackson County and the Kaw Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None79.550578%79.550578%+79.6%1.939%1.94%1.080%1.08%104.320634%104.320634%+104.3%3.958%3.96%1.937%1.94%44.303341%44.303341%+44.3%11.149%11.1%7.726%7.73%31.322303%31.322303%+31.3%24.536%24.5%18.684%18.7%-25.847343%-25.847343%-25.8%5.327%5.33%7.184%7.18%-19.506367%-19.506367%-19.5%19.206%19.2%23.860%23.9%-26.997987%-26.997987%-27.0%21.430%21.4%29.356%29.4%13.269898%13.269898%+13.3%7.861%7.86%6.940%6.94%36.892124%36.892124%+36.9%3.064%3.06%2.238%2.24%53.722851%53.722851%+53.7%1.531%1.53%0.996%1.00%
% percentage with given level in the Kaw Township
ref. percentage with given level in Jackson County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Jackson County and the Kaw Township
More Females More Males
Jackson County
Kaw Township
0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.144590%-4.612706%-1.144590%1%47.173%47.2%46.640%46.6%-2.061233%-2.061233%2%0.676160%41.047%41.0%40.218%40.2%11.569459%13.489295%11.569459%12%11.779%11.8%13.142%13.1%
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 Jackson County and the Kaw Township
More Females More Males
Jackson County
Kaw Township
20%0%20%40%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None53.633438%49.098281%53.633438%54%1.531%1.53%2.352%2.35%30.074193%49.768182%30.074193%30%3.444%3.44%4.480%4.48%-22.613646%-21.557759%-22.613646%23%12.272%12.3%10.009%10.0%1.541717%0.547338%1.541717%2%24.350%24.3%24.725%24.7%-9.910293%-22.850938%-9.910293%10%5.577%5.58%5.074%5.07%-13.929527%-9.986833%-13.929527%14%20.446%20.4%17.946%17.9%8.110485%9.327943%8.110485%8%20.601%20.6%22.272%22.3%14.550192%13.889698%14.550192%15%7.331%7.33%8.398%8.40%11.816442%18.198894%11.816442%12%2.894%2.89%3.236%3.24%-3.042707%-3.042707%3%1.065939%1.554%1.55%1.508%1.51%
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 Jackson County and the Kaw Township
Kaw Township
Jackson County
0%10%20%30%B.X.Total65+45-6435-4425-3416.533578%12.477593%16.533578%16.5%3,78922,91722.9k19.998612%17.270499%19.998612%20.0%8,64543,22843.2k23.745927%20.302275%23.745927%23.7%5,17421,78921.8k36.274075%25.348551%36.274075%36.3%12,26112.3k33,80133.8k
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 Jackson County at large.
Scope: population of Jackson County and the Kaw Township
0%10%20%30%40%%ref.65+45-6435-4425-3432.506144%32.506144%32.5%16.534%16.5%12.478%12.5%15.796378%15.796378%15.8%19.999%20.0%17.270%17.3%16.961903%16.961903%17.0%23.746%23.7%20.302%20.3%43.101176%43.101176%43.1%36.274%36.3%25.349%25.3%
% percentage in the Kaw Township with a Bachelor's degree
ref percentage in Jackson County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Jackson County and the Kaw Township
More Females More Males
Jackson County
Kaw Township
10%0%10%20%30%40%50%FM65+45-6435-4425-3419.267574%50.345084%19.267574%19.3%15.278%15.3%18.222%18.2%-9.066703%-3.956850%-9.066703%9.1%20.871%20.9%19.136%19.1%-15.270910%1.902731%1.902731%1.9%23.514%23.5%23.961%24.0%-3.083303%-8.951423%-3.083303%3.1%36.847%36.8%35.745%35.7%
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 Jackson County and the Kaw Township
Kaw Township
Jackson County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$56,579.000000$56,070.000000$56,579.000000$56.6k20,75020.8k17.045%17.0%$47,069.000000$46,629.000000$47,069.000000$47.1k29,86929.9k24.536%24.5%$30,139.000000$33,542.000000$30,139.000000$30.1k29,86529.9k24.533%24.5%$22,479.000000$28,807.000000$22,479.000000$22.5k26,08826.1k21.430%21.4%$16,823.000000$18,931.000000$16,823.000000$16.8k15,16315.2k12.456%12.5%$35,973.000000$35,891.000000$35,973.000000$36.0k121,735122k100.000%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 Jackson County and the Kaw Township
Female Male
Jackson County
Kaw Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-51,619.000000$-50,753.000000$-51,619.000000$51.6k$51,619.000000$12,636.000000$50,753.000000$15,006.000000$64,255.000000$64.3k10,57710.6k10,17310.2k$-44,815.000000$-41,748.000000$-44,815.000000$44.8k$44,815.000000$6,257.000000$41,748.000000$12,691.000000$51,072.000000$51.1k14,93314.9k14,93614.9k$-27,010.000000$-29,615.000000$-27,010.000000$27.0k$27,010.000000$5,585.000000$29,615.000000$10,783.000000$32,595.000000$32.6k15,95916.0k13,90613.9k$-20,898.000000$-23,975.000000$-20,898.000000$20.9k$20,898.000000$3,715.000000$23,975.000000$8,416.000000$24,613.000000$24.6k12,63412.6k13,45413.5k$-14,439.000000$-15,286.000000$-14,439.000000$14.4k$14,439.000000$4,357.000000$15,286.000000$6,627.000000$18,796.000000$18.8k7,2247,939$-33,189.000000$-31,433.000000$-33,189.000000$33.2k$33,189.000000$5,338.000000$31,433.000000$9,525.000000$38,527.000000$38.5k61,32761.3k60,40860.4k
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 Jackson County and the Kaw Township
Kaw Township
Jackson County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%64.130435%100.000000%100.0%610.000000%0.000000%0.0%35.869565%00.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Jackson County and the Kaw Township
Kaw Township
Jackson County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.720986%85.951627%86.720986%86.7%37,57137.6k71.403394%75.859228%71.403394%71.4%17,42117.4k62.995841%68.484107%62.995841%63.0%12,41912.4k47.074328%49.857823%47.074328%47.1%5,358
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 Jackson County and the Kaw Township
Female Male
Jackson County
Kaw Township
Shaded bar tips show excess over facing bar.
20%0%20%MFWhite1BlackAsianHispanic2Other1-4.021424%-6.001767%-4.021424%4.0%4.021424%1.115553%6.001767%0.830663%5.136977%5.1%1,8321,374-18.006448%-12.386059%-18.006448%18.0%18.006448%2.982207%12.386059%2.329759%20.988655%21.0%3,3673,463-16.677276%-11.103879%-15.191257%-6.826021%-27.781155%27.8%16.677276%15.191257%16.677276%16.7%262457-35.215424%-34.427780%-35.215424%35.2%35.215424%3.547223%34.427780%3.163836%38.762647%38.8%2,3371,790-33.697864%-30.096779%-33.697864%33.7%33.697864%2.032323%30.096779%2.320100%35.730187%35.7%1,6051,325
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 Jackson County and the Kaw Township
Female Male
Jackson County
Kaw Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-57.524605%-1.933351%-34.705443%-59.457957%59.5%57.524605%34.705443%0.831858%57.524605%57.5%20,51520.5k20,31520.3k-13.302581%-1.974042%-13.275508%-4.388478%-15.276622%15.3%13.302581%13.275508%13.302581%13.3%2,1342,938-51.428571%-40.228812%-51.428571%51.4%51.428571%9.360735%40.228812%4.197418%60.789306%60.8%955846-16.569912%-0.782045%-12.247653%-2.871925%-17.351958%17.4%16.569912%12.247653%16.569912%16.6%999882-19.501336%-1.200597%-14.018542%-2.378412%-20.701933%20.7%19.501336%14.018542%19.501336%19.5%876814
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in the Kaw Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
8%25%41%58%74%91%

Coarse: High School Diploma Educational Attainment by Neighborhood#17

Percentage of the population 25 years and older with given highest level of educational attainment
7%20%33%45%58%71%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%10%19%27%36%46%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.8%3.7%5.5%7.3%9.2%

Detailed: Professional Degree Educational Attainment by Neighborhood#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.1%6.3%9.4%12.5%15.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.5%5.2%9.8%14.5%19.1%23.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2%12%21%31%40%50%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%2.6%4.6%6.7%8.7%10.7%

Detailed: Some College Educational Attainment by Neighborhood#24

Percentage of the population 25 years and older with given highest level of educational attainment
6.3%11.3%16.2%21.1%26.0%31.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%12%22%32%42%52%

Detailed: Some High School Educational Attainment by Neighborhood#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.8%9.6%14.3%19.1%23.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.0%6.0%9.0%11.9%15.0%

Detailed: None Educational Attainment by Neighborhood#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.6%3.3%4.9%6.5%8.2%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in the Kaw Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
8%25%42%58%75%91%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
7%21%33%46%59%72%

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
0%9%17%26%34%43%

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%1.9%3.8%5.7%7.6%9.6%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.1%6.3%9.4%12.5%15.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%12%17%23%29%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%11%21%31%40%50%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%3.2%5.7%8.3%10.8%13.4%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
6%12%18%23%29%35%

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
1%12%22%32%42%52%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
0%5%10%15%21%26%

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
0.0%3.3%6.6%9.9%13.3%16.6%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.9%3.8%5.8%7.7%9.7%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in the Kaw Township

There are 95 neighborhoods that are fully or partially contained within the Kaw Township (69 fully and 26 partially). This section compares the 50 most populous of those to each other, the Kaw Township, and other entities that contain or substantially overlap with the Kaw Township. The least populous of the compared neighborhoods has a population of 1,472.

No H.S. Diploma by Neighborhood#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Kaw Township, selected neighborhoods in the Kaw Township, and entities that contain the Kaw Township
0%10%20%30%40%Count#Sheffield NeighborhoodSheffieldLykins NeighborhoodLykinsPendleton Heights NeighborhoodPendleton HtsNorth India Mound NeighborhoodN India MoundSouth India Mound NeighborhoodS India MoundSarritt Point NeighborhoodSarritt PointWest Blue Valley NeighborhoodW Blue VlyIndependence Plaza NeighborhoodIndependence PlazaEast Community Team North NeighborhoodE Comm Team NEast Community Team South NeighborhoodE Comm Team SWestside North NeighborhoodWestside NSanta Fe NeighborhoodSanta FeOak Park Southeast NeighborhoodOak Pk SEKnoches Park NeighborhoodKnoches ParkKey Coalition NeighborhoodKey CoalitionWashington Weatley NeighborhoodWashington WeatleyVineyard NeighborhoodVineyardOak Park Southwest NeighborhoodOak Pk SWNorth Town Fork Creek NeighborhoodN Town Fork CrkOak Park Northwest NeighborhoodOak Pk NWBlue Hills NeighborhoodBlue HillsWendell Phillips NeighborhoodWendell PhillipsSwope Parkway - Elmwood NeighborhoodSwope Pkwy - Elm…Longfellow NeighborhoodLongfellowNorth Hyde Park NeighborhoodN Hyde PkUnited States of AmericaUnited StatesKaw TownshipCentral Hyde Park NeighborhoodCntrl Hyde PkEastern 49-63 NeighborhoodEastern 49-63MissouriKansas CityMission Lake NeighborhoodMission LakeMidwestJackson CountyJacksonWest North CentralCentral Business District - Downtown NeighborhoodCntrl Business Dis…Kansas City Metro AreaKansas CityHanover Place NeighborhoodHanover PlaceVolker NeighborhoodVolkerRed Ridge South NeighborhoodRed Rdg SSanta Fe Hills NeighborhoodSanta Fe HlsBonne Hills NeighborhoodBonne HillsSouth Hyde Park NeighborhoodS Hyde PkSouthmoreland NeighborhoodSouthmorelandArmour Hills NeighborhoodArmour HillsWillow Creek NeighborhoodWillow CreekBlue Hills Estates NeighborhoodBlue Hls EstsVerona Hills NeighborhoodVerona HillsCountry Lane Estates NeighborhoodCountry Ln EstsLea Manor NeighborhoodLea ManorMorningside NeighborhoodMorningsideWard Parkway NeighborhoodWard ParkwayWestern 49-63 NeighborhoodWestern 49-63West Plaza NeighborhoodWest PlazaWestern Hills NeighborhoodWestern HillsSouth Plaza NeighborhoodSouth PlazaTower Homes NeighborhoodTower HomesArnour Fields NeighborhoodArnour Fields45.061087%45.061087%45.1%783138.853076%38.853076%38.9%1,200234.719872%34.719872%34.7%785333.996822%33.996822%34.0%1,2121,213433.863449%33.863449%33.9%1,2401,241533.190152%33.190152%33.2%1,1501,151632.040140%32.040140%32.0%393394730.825455%30.825455%30.8%491492830.692760%30.692760%30.7%643930.113663%30.113663%30.1%8128131026.713688%26.713688%26.7%3573581125.235281%25.235281%25.2%3153161224.971780%24.971780%25.0%2951324.402307%24.402307%24.4%2402411424.048926%24.048926%24.0%2831523.810586%23.810586%23.8%3243251621.606426%21.606426%21.6%3833841720.499419%20.499419%20.5%2442451820.116025%20.116025%20.1%4064071917.321332%17.321332%17.3%2672682016.365536%16.365536%16.4%5522115.704581%15.704581%15.7%2192215.171663%15.171663%15.2%2332342314.093137%14.093137%14.1%1942413.181183%13.181183%13.2%1581592513.020590%13.020590%13.0%27,818,38027.8M12.455744%12.455744%12.5%15,16315.2k12.170808%12.170808%12.2%1352611.762099%11.762099%11.8%1992711.167196%11.167196%11.2%454,882455k10.852627%10.852627%10.9%34,34934.3k10.268378%10.268378%10.3%2342352810.244520%10.244520%10.2%4,641,8354.64M10.173992%10.173992%10.2%46,70946.7k9.174633%9.174633%9.2%1,278,0511.28M8.966594%8.966594%9.0%255256298.596307%8.596307%8.6%118,933119k8.345056%8.345056%8.3%157158308.306213%8.306213%8.3%224225318.303338%8.303338%8.3%162327.436475%7.436475%7.4%112337.423400%7.423400%7.4%98345.747049%5.747049%5.7%8485355.178217%5.178217%5.2%136365.145967%5.145967%5.1%90375.127202%5.127202%5.1%141384.739336%4.739336%4.7%62394.490481%4.490481%4.5%72404.227213%4.227213%4.2%5455414.056254%4.056254%4.1%65423.497433%3.497433%3.5%38433.455397%3.455397%3.5%9192442.839981%2.839981%2.8%72452.276591%2.276591%2.3%77461.948843%1.948843%1.9%2930471.794352%1.794352%1.8%28481.190549%1.190549%1.2%4344491.115385%1.115385%1.1%1650
Count number of people in category
# rank of neighborhood out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Kaw Township, selected neighborhoods in the Kaw Township, and entities that contain the Kaw Township
0%20%40%60%80%Count#Arnour Fields NeighborhoodArnour FieldsSouth Plaza NeighborhoodSouth PlazaWestern 49-63 NeighborhoodWestern 49-63Morningside NeighborhoodMorningsideWest Plaza NeighborhoodWest PlazaArmour Hills NeighborhoodArmour HillsSouthmoreland NeighborhoodSouthmorelandTower Homes NeighborhoodTower HomesSouth Hyde Park NeighborhoodS Hyde PkWard Parkway NeighborhoodWard ParkwayVolker NeighborhoodVolkerBlue Hills Estates NeighborhoodBlue Hls EstsVerona Hills NeighborhoodVerona HillsCentral Business District - Downtown NeighborhoodCntrl Business Dis…Country Lane Estates NeighborhoodCountry Ln EstsRed Ridge South NeighborhoodRed Rdg SLea Manor NeighborhoodLea ManorLongfellow NeighborhoodLongfellowMission Lake NeighborhoodMission LakeBonne Hills NeighborhoodBonne HillsCentral Hyde Park NeighborhoodCntrl Hyde PkSanta Fe Hills NeighborhoodSanta Fe HlsHanover Place NeighborhoodHanover PlaceKaw TownshipWestern Hills NeighborhoodWestern HillsWillow Creek NeighborhoodWillow CreekNorth Hyde Park NeighborhoodN Hyde PkKansas City Metro AreaKansas CityKansas CityUnited States of AmericaUnited StatesWest North CentralJackson CountyJacksonMidwestMissouriEastern 49-63 NeighborhoodEastern 49-63Westside North NeighborhoodWestside NPendleton Heights NeighborhoodPendleton HtsSarritt Point NeighborhoodSarritt PointBlue Hills NeighborhoodBlue HillsSouth India Mound NeighborhoodS India MoundNorth India Mound NeighborhoodN India MoundOak Park Northwest NeighborhoodOak Pk NWSwope Parkway - Elmwood NeighborhoodSwope Pkwy - Elm…Wendell Phillips NeighborhoodWendell PhillipsVineyard NeighborhoodVineyardIndependence Plaza NeighborhoodIndependence PlazaOak Park Southeast NeighborhoodOak Pk SESanta Fe NeighborhoodSanta FeEast Community Team North NeighborhoodE Comm Team NWashington Weatley NeighborhoodWashington WeatleyWest Blue Valley NeighborhoodW Blue VlyKey Coalition NeighborhoodKey CoalitionKnoches Park NeighborhoodKnoches ParkLykins NeighborhoodLykinsNorth Town Fork Creek NeighborhoodN Town Fork CrkOak Park Southwest NeighborhoodOak Pk SWSheffield NeighborhoodSheffieldEast Community Team South NeighborhoodE Comm Team S88.538462%88.538462%88.5%1,3091,310177.400198%77.400198%77.4%1,228274.607308%74.607308%74.6%1,8951,896372.845823%72.845823%72.8%791792467.758479%67.758479%67.8%2,3042,305567.367640%67.367640%67.4%1,179664.434161%64.434161%64.4%1,692760.883233%60.883233%60.9%2,232857.567498%57.567498%57.6%847956.389897%56.389897%56.4%1,4971,4981055.004494%55.004494%55.0%1,4881,4891153.317536%53.317536%53.3%7011250.293245%50.293245%50.3%8098101349.937556%49.937556%49.9%1,4241447.093791%47.093791%47.1%6076081546.897742%46.897742%46.9%9161646.824660%46.824660%46.8%7557561744.730392%44.730392%44.7%6166171843.663944%43.663944%43.7%9989991943.063593%43.063593%43.1%5692042.889242%42.889242%42.9%4754762142.644000%42.644000%42.6%6426432242.419407%42.419407%42.4%8022341.581304%41.581304%41.6%50,61950.6k39.281364%39.281364%39.3%5972435.812133%35.812133%35.8%9852535.677690%35.677690%35.7%4292634.986657%34.986657%35.0%484,053484k32.996107%32.996107%33.0%104,434104k30.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.426576%29.426576%29.4%135,098135k28.952816%28.952816%29.0%13,118,64213.1M27.634687%27.634687%27.6%1,125,6651.13M26.956273%26.956273%27.0%4564572718.957449%18.957449%19.0%2532542817.591200%17.591200%17.6%3973982916.739344%16.739344%16.7%5803014.703022%14.703022%14.7%4963113.581171%13.581171%13.6%4974983213.482854%13.482854%13.5%4813312.473640%12.473640%12.5%1921933412.040199%12.040199%12.0%1853510.643893%10.643893%10.6%1481493610.200803%10.200803%10.2%181379.929017%9.929017%9.9%158389.828863%9.828863%9.8%116399.315391%9.315391%9.3%116117408.751995%8.751995%8.8%183418.245276%8.245276%8.2%112113428.194022%8.194022%8.2%100101437.999402%7.999402%8.0%94447.625996%7.625996%7.6%75457.488813%7.488813%7.5%231467.310856%7.310856%7.3%147148476.678281%6.678281%6.7%7980486.322791%6.322791%6.3%109110495.979122%5.979122%6.0%16150
Count number of people in category
# rank of neighborhood out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#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 the Kaw Township, selected neighborhoods in the Kaw Township, and entities that contain the Kaw Township
0%5%10%15%Count#South Plaza NeighborhoodSouth PlazaArnour Fields NeighborhoodArnour FieldsMorningside NeighborhoodMorningsideWest Plaza NeighborhoodWest PlazaWestern 49-63 NeighborhoodWestern 49-63Longfellow NeighborhoodLongfellowSouthmoreland NeighborhoodSouthmorelandBlue Hills Estates NeighborhoodBlue Hls EstsWard Parkway NeighborhoodWard ParkwayCentral Business District - Downtown NeighborhoodCntrl Business Dis…Armour Hills NeighborhoodArmour HillsSouth Hyde Park NeighborhoodS Hyde PkVolker NeighborhoodVolkerVerona Hills NeighborhoodVerona HillsLea Manor NeighborhoodLea ManorCentral Hyde Park NeighborhoodCntrl Hyde PkKaw TownshipTower Homes NeighborhoodTower HomesHanover Place NeighborhoodHanover PlaceCountry Lane Estates NeighborhoodCountry Ln EstsWestside North NeighborhoodWestside NNorth Hyde Park NeighborhoodN Hyde PkRed Ridge South NeighborhoodRed Rdg SKansas CityBonne Hills NeighborhoodBonne HillsSanta Fe Hills NeighborhoodSanta Fe HlsEastern 49-63 NeighborhoodEastern 49-63United States of AmericaUnited StatesKansas City Metro AreaKansas CityMission Lake NeighborhoodMission LakeJackson CountyJacksonWest North CentralMidwestMissouriWestern Hills NeighborhoodWestern HillsSarritt Point NeighborhoodSarritt PointSwope Parkway - Elmwood NeighborhoodSwope Pkwy - Elm…Blue Hills NeighborhoodBlue HillsWillow Creek NeighborhoodWillow CreekOak Park Northwest NeighborhoodOak Pk NWVineyard NeighborhoodVineyardSanta Fe NeighborhoodSanta FeSouth India Mound NeighborhoodS India MoundNorth India Mound NeighborhoodN India MoundWendell Phillips NeighborhoodWendell PhillipsEast Community Team North NeighborhoodE Comm Team NPendleton Heights NeighborhoodPendleton HtsNorth Town Fork Creek NeighborhoodN Town Fork CrkKey Coalition NeighborhoodKey CoalitionOak Park Southeast NeighborhoodOak Pk SESheffield NeighborhoodSheffieldIndependence Plaza NeighborhoodIndependence PlazaKnoches Park NeighborhoodKnoches ParkEast Community Team South NeighborhoodE Comm Team SLykins NeighborhoodLykinsWest Blue Valley NeighborhoodW Blue VlyWashington Weatley NeighborhoodWashington WeatleyOak Park Southwest NeighborhoodOak Pk SW19.564676%19.564676%19.6%310115.076923%15.076923%15.1%223213.134388%13.134388%13.1%142143312.728359%12.728359%12.7%432433412.579460%12.579460%12.6%319320511.151961%11.151961%11.2%153154610.453246%10.453246%10.5%27427579.004739%9.004739%9.0%11888.435167%8.435167%8.4%22497.944917%7.944917%7.9%226227107.298367%7.298367%7.3%127128116.983825%6.983825%7.0%102103126.946895%6.946895%6.9%188136.651111%6.651111%6.7%107146.461452%6.461452%6.5%104156.318367%6.318367%6.3%70165.896414%5.896414%5.9%7,1785.196751%5.196751%5.2%190191174.815788%4.815788%4.8%91184.161162%4.161162%4.2%5354194.060541%4.060541%4.1%54203.912436%3.912436%3.9%47213.634637%3.634637%3.6%71223.435344%3.435344%3.4%10,87310.9k3.433395%3.433395%3.4%45233.420366%3.420366%3.4%5152243.355307%3.355307%3.4%5657253.336158%3.336158%3.3%7,127,6737.13M3.293084%3.293084%3.3%45,56145.6k3.243874%3.243874%3.2%74263.016759%3.016759%3.0%13,85013.9k2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.822400%2.822400%2.8%114,967115k2.801462%2.801462%2.8%4243272.347053%2.347053%2.3%81282.045915%2.045915%2.0%3132291.600303%1.600303%1.6%5354301.526419%1.526419%1.5%4142311.507657%1.507657%1.5%23321.445783%1.445783%1.4%2526331.378001%1.378001%1.4%17341.212158%1.212158%1.2%44351.198266%1.198266%1.2%4243361.011298%1.011298%1.0%14370.817220%0.817220%0.8%17380.796387%0.796387%0.8%18390.791621%0.791621%0.8%16400.494591%0.494591%0.5%56410.415447%0.415447%0.4%45420.348507%0.348507%0.3%6430.219382%0.219382%0.2%3440.074664%0.074664%0.1%01450.052997%0.052997%0.1%1460.019398%0.019398%0.0%01470.000000%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 neighborhood 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 Neighborhood#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 the Kaw Township, selected neighborhoods in the Kaw Township, and entities that contain the Kaw Township
Female
Male
0x5x10xFM#Western HillsArnour FieldsCountry Ln EstsMission LakeWest PlazaRed Rdg SVerona HillsBlue HillsKnoches ParkCntrl Business Dist - DntnCntrl Business Dis…Santa FeE Comm Team NWard ParkwayWashington WeatleyOak Pk NWN Town Fork CrkSwope Pkwy - ElmwoodSwope Pkwy - Elm…Tower HomesVineyardOak Pk SWHanover PlaceVolkerLykinsSouth PlazaBlue Hls EstsIndependence PlazaWest North CentralJacksonMidwestW Blue VlyKaw TownshipKansas CityUnited StatesEastern 49-63Kansas CityE Comm Team SMissouriOak Pk SESarritt PointWendell PhillipsSheffieldWestern 49-63MorningsideWestside NS India MoundCntrl Hyde PkKey CoalitionN India MoundS Hyde PkArmour HillsN Hyde PkLongfellowLea ManorPendleton HtsSanta Fe HlsBonne HillsWillow CreekSouthmoreland-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.353%0.35%3.657%3.66%1-1.000000x-1.000000x3.886780x3.886780x3.89x0.458%0.46%1.782%1.78%2-1.000000x-1.000000x3.195755x3.195755x3.20x2.072%2.07%6.620%6.62%3-1.000000x-1.000000x2.664621x2.664621x2.66x5.574%5.57%14.852%14.9%4-1.000000x-1.000000x2.027157x2.027157x2.03x1.500%1.50%3.041%3.04%5-1.000000x-1.000000x1.932221x1.932221x1.93x5.689%5.69%10.992%11.0%6-1.000000x-1.000000x1.825757x1.825757x1.83x3.250%3.25%5.934%5.93%7-1.000000x-1.000000x1.795780x1.795780x1.80x12.345%12.3%22.168%22.2%8-1.000000x-1.000000x1.756581x1.756581x1.76x18.529%18.5%32.548%32.5%9-1.000000x-1.000000x1.736796x1.736796x1.74x6.069%6.07%10.540%10.5%10-1.000000x-1.000000x1.688536x1.688536x1.69x19.722%19.7%33.301%33.3%11-1.000000x-1.000000x1.684490x1.684490x1.68x23.125%23.1%38.954%39.0%12-1.000000x-1.000000x1.628646x1.628646x1.63x2.626%2.63%4.277%4.28%13-1.000000x-1.000000x1.618872x1.618872x1.62x18.761%18.8%30.372%30.4%14-1.000000x-1.000000x1.568654x1.568654x1.57x14.189%14.2%22.257%22.3%15-1.000000x-1.000000x1.517784x1.517784x1.52x16.509%16.5%25.057%25.1%16-1.000000x-1.000000x1.405962x1.405962x1.41x13.008%13.0%18.288%18.3%17-1.000000x-1.000000x1.378437x1.378437x1.38x1.009%1.01%1.390%1.39%18-1.000000x-1.000000x1.334818x1.334818x1.33x18.887%18.9%25.210%25.2%19-1.000000x-1.000000x1.320214x1.320214x1.32x17.753%17.8%23.438%23.4%20-1.000000x-1.000000x1.319377x1.319377x1.32x7.053%7.05%9.305%9.30%21-1.000000x-1.000000x1.281643x1.281643x1.28x7.216%7.22%9.248%9.25%22-1.000000x-1.000000x1.270719x1.270719x1.27x33.935%33.9%43.122%43.1%23-1.000000x-1.000000x1.261234x1.261234x1.26x1.605%1.61%2.025%2.02%24-1.000000x-1.000000x1.216387x1.216387x1.22x4.318%4.32%5.252%5.25%25-1.000000x-1.000000x1.192559x1.192559x1.19x28.418%28.4%33.890%33.9%26-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.134893x1.134893x1.13x9.563%9.56%10.853%10.9%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.118462x1.118462x1.12x30.357%30.4%33.953%34.0%27-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%-1.000000x-1.000000x1.115083x1.115083x1.12x8.146%8.15%9.083%9.08%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.108738x1.108738x1.11x11.147%11.1%12.359%12.4%28-1.000000x-1.000000x1.107254x1.107254x1.11x10.323%10.3%11.430%11.4%-1.000000x-1.000000x1.102573x1.102573x1.10x28.689%28.7%31.632%31.6%29-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.062441x1.062441x1.06x24.263%24.3%25.778%25.8%30-1.000000x-1.000000x1.002923x1.002923x1.00x33.142%33.1%33.239%33.2%31-1.016909x-1.016909x1.02x1.000000x1.000000x15.813%15.8%15.550%15.6%32-1.034778x-1.034778x1.03x1.000000x1.000000x45.858%45.9%44.317%44.3%33-1.049814x-1.049814x1.05x1.000000x1.000000x2.911%2.91%2.773%2.77%34-1.051813x-1.051813x1.05x1.000000x1.000000x3.584%3.58%3.408%3.41%35-1.054284x-1.054284x1.05x1.000000x1.000000x27.385%27.4%25.975%26.0%36-1.108131x-1.108131x1.11x1.000000x1.000000x35.505%35.5%32.040%32.0%37-1.130754x-1.130754x1.13x1.000000x1.000000x12.992%13.0%11.490%11.5%38-1.133951x-1.133951x1.13x1.000000x1.000000x25.406%25.4%22.405%22.4%39-1.151218x-1.151218x1.15x1.000000x1.000000x36.251%36.3%31.489%31.5%40-1.218018x-1.218018x1.22x1.000000x1.000000x6.392%6.39%5.248%5.25%41-1.279820x-1.279820x1.28x1.000000x1.000000x5.727%5.73%4.475%4.48%42-1.361690x-1.361690x1.36x1.000000x1.000000x15.590%15.6%11.449%11.4%43-1.382820x-1.382820x1.38x1.000000x1.000000x16.814%16.8%12.159%12.2%44-1.403310x-1.403310x1.40x1.000000x1.000000x4.626%4.63%3.297%3.30%45-1.565626x-1.565626x1.57x1.000000x1.000000x42.553%42.6%27.179%27.2%46-1.569749x-1.569749x1.57x1.000000x1.000000x8.964%8.96%5.710%5.71%47-1.588412x-1.588412x1.59x1.000000x1.000000x8.983%8.98%5.655%5.66%48-2.362401x-2.362401x2.36x1.000000x1.000000x6.887%6.89%2.915%2.92%49-2.455999x-2.455999x2.46x1.000000x1.000000x7.393%7.39%3.010%3.01%50
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#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 the Kaw Township, selected neighborhoods in the Kaw Township, and entities that contain the Kaw Township
Female
Male
10x5x0x5x10xFM#Key CoalitionSheffieldSanta FeWendell PhillipsBlue Hls EstsSarritt PointLea ManorVerona HillsEastern 49-63Country Ln EstsArnour FieldsHanover PlaceCntrl Hyde PkN India MoundVolkerSouth PlazaLongfellowMidwestMissouriWest North CentralUnited StatesKansas CityJacksonKansas CityS India MoundE Comm Team NKaw TownshipBlue HillsOak Pk NWWestside NN Hyde PkWestern 49-63Willow CreekS Hyde PkMorningsideSouthmorelandLykinsPendleton HtsRed Rdg SCntrl Business Dist - DntnCntrl Business Dis…West PlazaWestern HillsSanta Fe HlsBonne HillsWard ParkwayTower HomesIndependence PlazaArmour HillsMission LakeSwope Pkwy - ElmwoodSwope Pkwy - Elm…N Town Fork CrkE Comm Team SVineyardOak Pk SEKnoches Park-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.094%1.09%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.037%0.04%0.640%0.64%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.236%0.24%3.048%3.05%3-1.000000x-1.000000x5.329552x5.329552x5.33x0.362%0.36%1.932%1.93%4-1.000000x-1.000000x3.500214x3.500214x3.50x4.231%4.23%14.811%14.8%5-1.000000x-1.000000x3.453131x3.453131x3.45x1.058%1.06%3.654%3.65%6-1.000000x-1.000000x3.133957x3.133957x3.13x3.375%3.37%10.576%10.6%7-1.000000x-1.000000x3.126870x3.126870x3.13x3.354%3.35%10.487%10.5%8-1.000000x-1.000000x2.982401x2.982401x2.98x1.672%1.67%4.987%4.99%9-1.000000x-1.000000x2.570768x2.570768x2.57x2.385%2.39%6.132%6.13%10-1.000000x-1.000000x2.472597x2.472597x2.47x8.709%8.71%21.534%21.5%11-1.000000x-1.000000x2.460234x2.460234x2.46x2.620%2.62%6.446%6.45%12-1.000000x-1.000000x2.363224x2.363224x2.36x3.621%3.62%8.556%8.56%13-1.000000x-1.000000x2.246881x2.246881x2.25x0.754%0.75%1.693%1.69%14-1.000000x-1.000000x1.710242x1.710242x1.71x5.030%5.03%8.603%8.60%15-1.000000x-1.000000x1.618142x1.618142x1.62x15.301%15.3%24.759%24.8%16-1.000000x-1.000000x1.599057x1.599057x1.60x8.260%8.26%13.208%13.2%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.517617x1.517617x1.52x2.637%2.64%4.002%4.00%-1.000000x-1.000000x1.495280x1.495280x1.50x2.444%2.44%3.654%3.65%-1.000000x-1.000000x1.430657x1.430657x1.43x2.849%2.85%4.076%4.08%-1.000000x-1.000000x1.421820x1.421820x1.42x1.010%1.01%1.436%1.44%18-1.000000x-1.000000x1.403489x1.403489x1.40x0.685%0.69%0.961%0.96%19-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%-1.000000x-1.000000x1.336234x1.336234x1.34x1.407%1.41%1.880%1.88%20-1.000000x-1.000000x1.334843x1.334843x1.33x1.334%1.33%1.781%1.78%21-1.000000x-1.000000x1.330454x1.330454x1.33x3.509%3.51%4.668%4.67%22-1.000000x-1.000000x1.294155x1.294155x1.29x3.341%3.34%4.323%4.32%23-1.000000x-1.000000x1.236676x1.236676x1.24x11.221%11.2%13.877%13.9%24-1.000000x-1.000000x1.194214x1.194214x1.19x1.405%1.41%1.678%1.68%25-1.000000x-1.000000x1.183759x1.183759x1.18x6.329%6.33%7.491%7.49%26-1.000000x-1.000000x1.142123x1.142123x1.14x12.278%12.3%14.023%14.0%27-1.000000x-1.000000x1.125360x1.125360x1.13x9.830%9.83%11.063%11.1%28-1.000000x-1.000000x1.116027x1.116027x1.12x0.018%0.02%0.020%0.02%29-1.000000x-1.000000x1.048477x1.048477x1.05x0.777%0.78%0.815%0.81%30-1.034859x-1.034859x1.03x1.000000x1.000000x3.696%3.70%3.572%3.57%31-1.053799x-1.053799x1.05x1.000000x1.000000x8.217%8.22%7.797%7.80%32-1.090798x-1.090798x1.09x1.000000x1.000000x13.286%13.3%12.180%12.2%33-1.111952x-1.111952x1.11x1.000000x1.000000x2.945%2.94%2.648%2.65%34-1.176927x-1.176927x1.18x1.000000x1.000000x3.680%3.68%3.127%3.13%35-1.199041x-1.199041x1.20x1.000000x1.000000x3.723%3.72%3.105%3.10%36-1.208872x-1.208872x1.21x1.000000x1.000000x9.237%9.24%7.641%7.64%37-1.223359x-1.223359x1.22x1.000000x1.000000x5.692%5.69%4.653%4.65%38-1.274208x-1.274208x1.27x1.000000x1.000000x0.242%0.24%0.190%0.19%39-1.337831x-1.337831x1.34x1.000000x1.000000x8.268%8.27%6.180%6.18%40-1.388598x-1.388598x1.39x1.000000x1.000000x3.779%3.78%2.721%2.72%41-2.321940x-2.321940x2.32x1.000000x1.000000x2.668%2.67%1.149%1.15%42-8.519816x-8.519816x8.52x1.000000x1.000000x1.261%1.26%0.148%0.15%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.103%0.10%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.537%2.54%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.781%0.78%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.128%0.13%0.000%0%47
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 47 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Kansas City Area

There are 181 county subdivisions in the Kansas City Area. This section compares the Kaw Township to the 50 most populous county subdivisions in the Kansas City Area and to those entities that contain or substantially overlap with the Kaw Township. The least populous of the compared county subdivisions has a population of 5,087.

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 the Kaw Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Kaw Township
0%5%10%15%20%Count#Kansas CityFishing River TownshipFishing RivBlue TownshipPettis TownshipPettisLexington TownshipLexingtonUnited States of AmericaUnited StatesBonner SpringsBonner SpgsRichmond TownshipRichmondKaw TownshipWashington TownshipWashingtonFishing River TownshipFishing RivMissouriKansas CityWashington TownshipWashingtonLansingMidwestJackson CountyJacksonDe SotoBrooking TownshipBrookingWest North CentralClay TownshipPleasant Hill TownshipPleasant HlMount Pleasant TownshipMt PleasantWest Peculiar TownshipW PeculiarShoal TownshipShoalLeavenworthKansas City Metro AreaKansas CityGallatin TownshipGallatinFort Osage TownshipFort OsageChouteau TownshipChouteauTonganoxie TownshipTonganoxieSni-A-Bar TownshipSni-A-BarGrand River TownshipGrand RivOlatheMerriamPaolaSni-A-Bar TownshipSni-A-BarFox TownshipKearney TownshipKearneyRaymore TownshipRaymoreShawneeLiberty TownshipLibertyGardnerPlatte TownshipPlatteFairmount TownshipFairmountLenexaPawnee TownshipPawneeVan Buren TownshipVan BurenCarroll TownshipCarrollMay TownshipPrairie TownshipPrairieMissionOverland ParkRoeland ParkSioux TownshipSiouxPrairie VillagePrairie VlgLeawood22.659362%22.659362%22.7%21,21821.2k117.184987%17.184987%17.2%641214.241047%14.241047%14.2%15,25815.3k313.723849%13.723849%13.7%492413.535304%13.535304%13.5%554513.020590%13.020590%13.0%27,818,38027.8M12.845304%12.845304%12.8%651612.502056%12.502056%12.5%760712.455744%12.455744%12.5%15,16315.2k811.559778%11.559778%11.6%438911.401194%11.401194%11.4%8211011.167196%11.167196%11.2%454,882455k10.852627%10.852627%10.9%34,34934.3k10.634663%10.634663%10.6%4,9801110.514597%10.514597%10.5%8501210.244520%10.244520%10.2%4,641,8354.64M10.173992%10.173992%10.2%46,70946.7k10.062213%10.062213%10.1%372139.955155%9.955155%10.0%5,128149.174633%9.174633%9.2%1,278,0511.28M9.157189%9.157189%9.2%314159.042553%9.042553%9.0%544168.970353%8.970353%9.0%1,177178.761834%8.761834%8.8%472188.749676%8.749676%8.7%338198.617355%8.617355%8.6%2,005208.596307%8.596307%8.6%118,933119k8.543044%8.543044%8.5%4,162218.309829%8.309829%8.3%383228.223020%8.223020%8.2%2,932238.173785%8.173785%8.2%333247.961470%7.961470%8.0%405257.852340%7.852340%7.9%619266.424130%6.424130%6.4%5,331276.386839%6.386839%6.4%528286.282876%6.282876%6.3%215295.681479%5.681479%5.7%3,048305.411710%5.411710%5.4%464315.154204%5.154204%5.2%488325.115435%5.115435%5.1%986335.113489%5.113489%5.1%2,174345.095688%5.095688%5.1%1,989355.078221%5.078221%5.1%620365.031082%5.031082%5.0%607374.979317%4.979317%5.0%325384.370740%4.370740%4.4%1,526394.316426%4.316426%4.3%257404.250000%4.250000%4.3%238414.214890%4.214890%4.2%488424.142720%4.142720%4.1%692433.691019%3.691019%3.7%2,511443.518712%3.518712%3.5%236453.377424%3.377424%3.4%4,282462.816069%2.816069%2.8%143472.354260%2.354260%2.4%189481.096310%1.096310%1.1%172490.675882%0.675882%0.7%15550
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#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Kaw Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Kaw Township
0%20%40%60%Count#LeawoodPrairie VillagePrairie VlgOverland ParkSioux TownshipSiouxLenexaMissionRoeland ParkOlatheShawneePrairie TownshipPrairieMay TownshipKaw TownshipLiberty TownshipLibertyPawnee TownshipPawneeCarroll TownshipCarrollFox TownshipFairmount TownshipFairmountKansas City Metro AreaKansas CityMerriamGardnerVan Buren TownshipVan BurenKansas CityPlatte TownshipPlatteChouteau TownshipChouteauLeavenworthRaymore TownshipRaymoreSni-A-Bar TownshipSni-A-BarUnited States of AmericaUnited StatesDe SotoWest North CentralJackson CountyJacksonKearney TownshipKearneyMidwestLansingMissouriGallatin TownshipGallatinPleasant Hill TownshipPleasant HlWest Peculiar TownshipW PeculiarWashington TownshipWashingtonTonganoxie TownshipTonganoxieShoal TownshipShoalMount Pleasant TownshipMt PleasantPettis TownshipPettisPaolaFishing River TownshipFishing RivWashington TownshipWashingtonLexington TownshipLexingtonBrooking TownshipBrookingGrand River TownshipGrand RivBonner SpringsBonner SpgsKansas CityBlue TownshipFort Osage TownshipFort OsageSni-A-Bar TownshipSni-A-BarClay TownshipRichmond TownshipRichmondFishing River TownshipFishing Riv74.085379%74.085379%74.1%16,99017.0k170.080948%70.080948%70.1%10,99511.0k258.823344%58.823344%58.8%74,57874.6k356.439960%56.439960%56.4%4,531455.353153%55.353153%55.4%19,32619.3k552.273744%52.273744%52.3%3,506649.192596%49.192596%49.2%2,498746.512581%46.512581%46.5%38,59838.6k846.174291%46.174291%46.2%19,63119.6k943.179480%43.179480%43.2%29,37529.4k1042.660441%42.660441%42.7%7,1261141.581304%41.581304%41.6%50,61950.6k1240.532370%40.532370%40.5%15,82115.8k1340.073900%40.073900%40.1%2,3861438.875453%38.875453%38.9%4,5011538.535106%38.535106%38.5%3,3041637.521066%37.521066%37.5%2,4491734.986657%34.986657%35.0%484,053484k34.135720%34.135720%34.1%2,8221833.729216%33.729216%33.7%4,1181933.410714%33.410714%33.4%1,8712032.996107%32.996107%33.0%104,434104k32.673021%32.673021%32.7%3,9422132.000224%32.000224%32.0%11,41011.4k2231.370611%31.370611%31.4%7,2992331.356680%31.356680%31.4%6,0442430.703847%30.703847%30.7%16,47216.5k2530.315023%30.315023%30.3%64,767,78764.8M30.213687%30.213687%30.2%1,1172630.056536%30.056536%30.1%4,186,9564.19M29.426576%29.426576%29.4%135,098135k29.393747%29.393747%29.4%2,7832728.952816%28.952816%29.0%13,118,64213.1M28.871846%28.871846%28.9%2,3342827.634687%27.634687%27.6%1,125,6651.13M27.533971%27.533971%27.5%13,41413.4k2925.731383%25.731383%25.7%1,5483024.596250%24.596250%24.6%1,3253123.779361%23.779361%23.8%9013222.803142%22.803142%22.8%9293321.744758%21.744758%21.7%8403421.713284%21.713284%21.7%2,8493521.115760%21.115760%21.1%7573620.864991%20.864991%20.9%7143719.913901%19.913901%19.9%1,4343819.744597%19.744597%19.7%9,2463919.252382%19.252382%19.3%7884019.100775%19.100775%19.1%9,8394119.040974%19.040974%19.0%1,5014218.942384%18.942384%18.9%9604316.167409%16.167409%16.2%15,13915.1k4415.821208%15.821208%15.8%16,95117.0k4515.730093%15.730093%15.7%7254615.647730%15.647730%15.6%7964714.814815%14.814815%14.8%5084813.620661%13.620661%13.6%8284912.359249%12.359249%12.4%46150
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#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 the Kaw Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Kaw Township
0%5%10%Count#LeawoodPrairie VillagePrairie VlgOverland ParkKaw TownshipSioux TownshipSiouxLenexaRoeland ParkPrairie TownshipPrairieCarroll TownshipCarrollShawneePawnee TownshipPawneeMissionKansas CityUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityFox TownshipJackson CountyJacksonWest North CentralMay TownshipMidwestFairmount TownshipFairmountOlatheMissouriDe SotoVan Buren TownshipVan BurenGallatin TownshipGallatinShoal TownshipShoalChouteau TownshipChouteauLexington TownshipLexingtonSni-A-Bar TownshipSni-A-BarRaymore TownshipRaymoreWest Peculiar TownshipW PeculiarLiberty TownshipLibertyMerriamKearney TownshipKearneyTonganoxie TownshipTonganoxiePlatte TownshipPlatteLansingMount Pleasant TownshipMt PleasantPettis TownshipPettisBrooking TownshipBrookingFishing River TownshipFishing RivLeavenworthKansas CityBonner SpringsBonner SpgsPleasant Hill TownshipPleasant HlWashington TownshipWashingtonFort Osage TownshipFort OsageGrand River TownshipGrand RivWashington TownshipWashingtonBlue TownshipGardnerClay TownshipRichmond TownshipRichmondFishing River TownshipFishing RivSni-A-Bar TownshipSni-A-BarPaola14.267649%14.267649%14.3%3,272110.198228%10.198228%10.2%1,60025.940071%5.940071%5.9%7,53135.896414%5.896414%5.9%7,17845.804684%5.804684%5.8%46655.358882%5.358882%5.4%1,87164.529342%4.529342%4.5%23074.176099%4.176099%4.2%2,84184.007601%4.007601%4.0%46493.958603%3.958603%4.0%1,683103.762177%3.762177%3.8%224113.503802%3.503802%3.5%235123.435344%3.435344%3.4%10,87310.9k3.336158%3.336158%3.3%7,127,6737.13M3.293084%3.293084%3.3%45,56145.6k3.265687%3.265687%3.3%280133.016759%3.016759%3.0%13,85013.9k2.978981%2.978981%3.0%414,980415k2.969349%2.969349%3.0%496142.893416%2.893416%2.9%1,311,0191.31M2.849701%2.849701%2.8%186152.830666%2.830666%2.8%2,349162.822400%2.822400%2.8%114,967115k2.758994%2.758994%2.8%102172.732143%2.732143%2.7%153182.500103%2.500103%2.5%1,218192.459229%2.459229%2.5%95202.414741%2.414741%2.4%861212.394332%2.394332%2.4%98222.369147%2.369147%2.4%1,271232.319066%2.319066%2.3%447242.283275%2.283275%2.3%123252.264750%2.264750%2.3%884262.237813%2.237813%2.2%185272.217997%2.217997%2.2%210282.160039%2.160039%2.2%88291.997513%1.997513%2.0%241301.830777%1.830777%1.8%148311.737672%1.737672%1.7%228321.645746%1.645746%1.6%59331.566656%1.566656%1.6%807341.513679%1.513679%1.5%109351.439807%1.439807%1.4%335361.388310%1.388310%1.4%1,300371.381215%1.381215%1.4%70381.263298%1.263298%1.3%76391.187648%1.187648%1.2%45401.171621%1.171621%1.2%54411.065584%1.065584%1.1%84421.018621%1.018621%1.0%477430.997751%0.997751%1.0%1,069440.933737%0.933737%0.9%114450.729076%0.729076%0.7%25460.707353%0.707353%0.7%43470.670241%0.670241%0.7%25480.550423%0.550423%0.6%28490.263004%0.263004%0.3%950
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#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 the Kaw Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Kaw Township
Female
Male
2x1x0x1x2x3xFM#PaolaPrairie VlgLansingSni-A-BarDe SotoPleasant HlVan BurenFishing RivWashingtonBrookingGardnerFishing RivKansas CityBlue TownshipWashingtonFairmountWest North CentralJacksonMidwestKaw TownshipKansas CityUnited StatesOlatheKansas CityTonganoxieOverland ParkMissouriGallatinLexingtonLibertySni-A-BarLeavenworthMt PleasantKearneyPettisGrand RivLenexaPrairieFort OsageChouteauPlatteShoalShawneeRaymoreMerriamMay TownshipClay TownshipRichmondBonner SpgsPawneeSiouxFox TownshipRoeland ParkCarrollMissionW PeculiarLeawood-1.000000x-1.000000x3.186326x3.186326x3.19x3.115%3.11%9.925%9.92%1-1.000000x-1.000000x2.955512x2.955512x2.96x0.582%0.58%1.720%1.72%2-1.000000x-1.000000x2.364703x2.364703x2.36x5.753%5.75%13.604%13.6%3-1.000000x-1.000000x2.002114x2.002114x2.00x5.325%5.32%10.660%10.7%4-1.000000x-1.000000x1.968185x1.968185x1.97x6.949%6.95%13.676%13.7%5-1.000000x-1.000000x1.436358x1.436358x1.44x7.512%7.51%10.791%10.8%6-1.000000x-1.000000x1.358549x1.358549x1.36x3.623%3.62%4.922%4.92%7-1.000000x-1.000000x1.334154x1.334154x1.33x9.760%9.76%13.021%13.0%8-1.000000x-1.000000x1.275318x1.275318x1.28x10.284%10.3%13.115%13.1%9-1.000000x-1.000000x1.233432x1.233432x1.23x9.009%9.01%11.113%11.1%10-1.000000x-1.000000x1.223779x1.223779x1.22x4.572%4.57%5.595%5.60%11-1.000000x-1.000000x1.209432x1.209432x1.21x15.528%15.5%18.780%18.8%12-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%13-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%14-1.000000x-1.000000x1.153736x1.153736x1.15x9.932%9.93%11.459%11.5%15-1.000000x-1.000000x1.141862x1.141862x1.14x4.642%4.64%5.301%5.30%16-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.134893x1.134893x1.13x9.563%9.56%10.853%10.9%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.115083x1.115083x1.12x8.146%8.15%9.083%9.08%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%18-1.000000x-1.000000x1.107254x1.107254x1.11x10.323%10.3%11.430%11.4%-1.000000x-1.000000x1.098920x1.098920x1.10x7.796%7.80%8.567%8.57%19-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%20-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.081405x1.081405x1.08x8.224%8.22%8.894%8.89%21-1.000000x-1.000000x1.039988x1.039988x1.04x13.276%13.3%13.807%13.8%22-1.000000x-1.000000x1.031907x1.031907x1.03x5.018%5.02%5.178%5.18%23-1.000000x-1.000000x1.026158x1.026158x1.03x5.612%5.61%5.758%5.76%24-1.000000x-1.000000x1.023913x1.023913x1.02x8.507%8.51%8.710%8.71%25-1.012488x-1.012488x1.01x1.000000x1.000000x9.025%9.03%8.914%8.91%26-1.015319x-1.015319x1.02x1.000000x1.000000x5.191%5.19%5.113%5.11%27-1.022650x-1.022650x1.02x1.000000x1.000000x13.878%13.9%13.571%13.6%28-1.027172x-1.027172x1.03x1.000000x1.000000x7.949%7.95%7.739%7.74%29-1.036696x-1.036696x1.04x1.000000x1.000000x4.445%4.45%4.288%4.29%30-1.041840x-1.041840x1.04x1.000000x1.000000x3.762%3.76%3.611%3.61%31-1.068101x-1.068101x1.07x1.000000x1.000000x8.579%8.58%8.032%8.03%32-1.102472x-1.102472x1.10x1.000000x1.000000x8.610%8.61%7.809%7.81%33-1.103280x-1.103280x1.10x1.000000x1.000000x5.269%5.27%4.776%4.78%34-1.113612x-1.113612x1.11x1.000000x1.000000x9.217%9.22%8.277%8.28%35-1.120654x-1.120654x1.12x1.000000x1.000000x5.393%5.39%4.812%4.81%36-1.154160x-1.154160x1.15x1.000000x1.000000x5.458%5.46%4.729%4.73%37-1.159410x-1.159410x1.16x1.000000x1.000000x6.844%6.84%5.903%5.90%38-1.253333x-1.253333x1.25x1.000000x1.000000x4.598%4.60%3.668%3.67%39-1.264144x-1.264144x1.26x1.000000x1.000000x10.136%10.1%8.018%8.02%40-1.293986x-1.293986x1.29x1.000000x1.000000x14.001%14.0%10.820%10.8%41-1.302017x-1.302017x1.30x1.000000x1.000000x14.425%14.4%11.079%11.1%42-1.347567x-1.347567x1.35x1.000000x1.000000x4.947%4.95%3.671%3.67%43-1.423213x-1.423213x1.42x1.000000x1.000000x2.750%2.75%1.932%1.93%44-1.713388x-1.713388x1.71x1.000000x1.000000x6.701%6.70%3.911%3.91%45-1.740869x-1.740869x1.74x1.000000x1.000000x3.546%3.55%2.037%2.04%46-1.779876x-1.779876x1.78x1.000000x1.000000x5.353%5.35%3.008%3.01%47-1.814184x-1.814184x1.81x1.000000x1.000000x4.429%4.43%2.441%2.44%48-1.972812x-1.972812x1.97x1.000000x1.000000x11.561%11.6%5.860%5.86%49-2.686567x-2.686567x2.69x1.000000x1.000000x0.970%0.97%0.361%0.36%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 the Kaw Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Kaw Township
Female
Male
0x5x10xFM#PaolaSni-A-BarGrand RivLexingtonBonner SpgsMt PleasantKearneyShoalRichmondMerriamGardnerFort OsageLeawoodWashingtonFox TownshipBlue TownshipClay TownshipOverland ParkFishing RivOlathePrairieBrookingChouteauPrairie VlgMidwestMissouriRoeland ParkWest North CentralKansas CityLibertyLenexaUnited StatesKansas CityJacksonLeavenworthKansas CityDe SotoKaw TownshipMay TownshipGallatinShawneeSni-A-BarCarrollPettisWashingtonTonganoxieVan BurenMissionPlatteRaymorePawneeSiouxLansingFishing RivPleasant HlW PeculiarFairmount-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.565%0.57%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.039%0.04%1.074%1.07%2-1.000000x-1.000000x9.758561x9.758561x9.76x0.212%0.21%2.066%2.07%3-1.000000x-1.000000x7.507254x7.507254x7.51x0.573%0.57%4.302%4.30%4-1.000000x-1.000000x4.905197x4.905197x4.91x0.486%0.49%2.383%2.38%5-1.000000x-1.000000x4.294875x4.294875x4.29x0.662%0.66%2.843%2.84%6-1.000000x-1.000000x4.037368x4.037368x4.04x0.915%0.91%3.694%3.69%7-1.000000x-1.000000x3.790994x3.790994x3.79x1.030%1.03%3.904%3.90%8-1.000000x-1.000000x3.701990x3.701990x3.70x0.311%0.31%1.152%1.15%9-1.000000x-1.000000x2.782546x2.782546x2.78x1.199%1.20%3.337%3.34%10-1.000000x-1.000000x2.304595x2.304595x2.30x0.567%0.57%1.308%1.31%11-1.000000x-1.000000x2.250428x2.250428x2.25x0.726%0.73%1.633%1.63%12-1.000000x-1.000000x2.087205x2.087205x2.09x9.355%9.35%19.525%19.5%13-1.000000x-1.000000x2.006750x2.006750x2.01x0.817%0.82%1.639%1.64%14-1.000000x-1.000000x1.771474x1.771474x1.77x2.407%2.41%4.264%4.26%15-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%16-1.000000x-1.000000x1.747159x1.747159x1.75x0.542%0.54%0.947%0.95%17-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%18-1.000000x-1.000000x1.710445x1.710445x1.71x0.492%0.49%0.842%0.84%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.677680x1.677680x1.68x3.170%3.17%5.319%5.32%21-1.000000x-1.000000x1.672473x1.672473x1.67x1.203%1.20%2.012%2.01%22-1.000000x-1.000000x1.664135x1.664135x1.66x1.828%1.83%3.042%3.04%23-1.000000x-1.000000x1.609745x1.609745x1.61x7.994%7.99%12.868%12.9%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.573926x1.573926x1.57x3.546%3.55%5.580%5.58%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.564163x1.564163x1.56x1.779%1.78%2.782%2.78%27-1.000000x-1.000000x1.562944x1.562944x1.56x4.233%4.23%6.617%6.62%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.517617x1.517617x1.52x2.637%2.64%4.002%4.00%-1.000000x-1.000000x1.495280x1.495280x1.50x2.444%2.44%3.654%3.65%-1.000000x-1.000000x1.473714x1.473714x1.47x1.146%1.15%1.688%1.69%29-1.000000x-1.000000x1.430657x1.430657x1.43x2.849%2.85%4.076%4.08%-1.000000x-1.000000x1.413056x1.413056x1.41x2.316%2.32%3.273%3.27%30-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%31-1.000000x-1.000000x1.307930x1.307930x1.31x2.580%2.58%3.375%3.37%32-1.000000x-1.000000x1.271646x1.271646x1.27x2.214%2.21%2.815%2.82%33-1.000000x-1.000000x1.271087x1.271087x1.27x3.502%3.50%4.451%4.45%34-1.000000x-1.000000x1.228666x1.228666x1.23x2.136%2.14%2.625%2.62%35-1.000000x-1.000000x1.217621x1.217621x1.22x3.625%3.62%4.414%4.41%36-1.000000x-1.000000x1.100369x1.100369x1.10x1.567%1.57%1.724%1.72%37-1.000000x-1.000000x1.066269x1.066269x1.07x0.988%0.99%1.054%1.05%38-1.005215x-1.005215x1.01x1.000000x1.000000x2.166%2.17%2.154%2.15%39-1.021772x-1.021772x1.02x1.000000x1.000000x2.761%2.76%2.702%2.70%40-1.121244x-1.121244x1.12x1.000000x1.000000x3.686%3.69%3.288%3.29%41-1.207492x-1.207492x1.21x1.000000x1.000000x2.178%2.18%1.804%1.80%42-1.208464x-1.208464x1.21x1.000000x1.000000x2.523%2.52%2.088%2.09%43-1.278850x-1.278850x1.28x1.000000x1.000000x4.216%4.22%3.297%3.30%44-1.409520x-1.409520x1.41x1.000000x1.000000x6.753%6.75%4.791%4.79%45-1.421235x-1.421235x1.42x1.000000x1.000000x2.232%2.23%1.570%1.57%46-1.441710x-1.441710x1.44x1.000000x1.000000x1.790%1.79%1.241%1.24%47-2.292483x-2.292483x2.29x1.000000x1.000000x1.714%1.71%0.748%0.75%48-2.425341x-2.425341x2.43x1.000000x1.000000x3.209%3.21%1.323%1.32%49-2.772437x-2.772437x2.77x1.000000x1.000000x4.235%4.23%1.527%1.53%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Missouri

There are 1,395 county subdivisions in Missouri. This section compares the Kaw Township to the 50 most populous county subdivisions in Missouri and to those entities that contain or substantially overlap with the Kaw Township. The least populous of the compared county subdivisions has a population of 30,106.

No H.S. Diploma by County Subdivision#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Kaw Township, selected other county subdivisions in Missouri, and entities that contain the Kaw Township
0%5%10%15%Count#St. Francois TownshipSt. FrancoisNormandy TownshipNormandySt. LouisNorwood TownshipNorwoodAirport TownshipAirportBlue TownshipLemay TownshipLemayMidland TownshipMidlandWashington TownshipWashingtonSt. Ferdinand TownshipSt. FerdinandUnited States of AmericaUnited StatesKaw TownshipRock TownshipMissouriKansas CitySpringfield TownshipSpringfieldWashington TownshipWashingtonUniversity TownshipUnivFlorissant TownshipFlorissantMidwestJackson CountyJacksonJoplin TownshipJoplinBrooking TownshipBrookingFerguson TownshipFergusonCape Girardeau TownshipCape GirardeauWest North CentralKansas City Metro AreaKansas CityConcord TownshipConcordColumbia TownshipColumbiaGallatin TownshipGallatinChouteau TownshipChouteauNorthwest TownshipNWSpanish Lake TownshipSpanish LkWentzville TownshipWentzvilleCullen TownshipCullenJefferson TownshipJeffersonGravois TownshipGravoisLewis and Clark TownshipLewis and ClarkTesson Ferry TownshipTesson FerrySni-A-Bar TownshipSni-A-BarLiberty TownshipLibertyQueeny TownshipQueenyMissouri TownshipMissouriOakville TownshipOakvilleBoone TownshipBooneBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsMeramec TownshipMeramecPrairie TownshipPrairieLafayette TownshipLafayetteCreve Coeur TownshipCreve CoeurWildhorse TownshipWildhorseHadley TownshipHadleyClayton TownshipClaytonMissouri River TownshipMissouri RivJefferson TownshipJeffersonChesterfield TownshipChesterfield16.564192%16.564192%16.6%3,610115.494437%15.494437%15.5%3,245215.466266%15.466266%15.5%33,80433.8k314.895461%14.895461%14.9%2,921414.777735%14.777735%14.8%3,454514.241047%14.241047%14.2%15,25815.3k614.236246%14.236246%14.2%3,659714.013093%14.013093%14.0%3,275813.448887%13.448887%13.4%7,053913.139625%13.139625%13.1%2,5551013.020590%13.020590%13.0%27,818,38027.8M12.455744%12.455744%12.5%15,16315.2k1111.722399%11.722399%11.7%2,5101211.167196%11.167196%11.2%454,882455k10.852627%10.852627%10.9%34,34934.3k10.767091%10.767091%10.8%11,14911.1k1310.634663%10.634663%10.6%4,9801410.592623%10.592623%10.6%2,3291510.324033%10.324033%10.3%2,4311610.244520%10.244520%10.2%4,641,8354.64M10.173992%10.173992%10.2%46,70946.7k10.161348%10.161348%10.2%2,834179.955155%9.955155%10.0%5,128189.870005%9.870005%9.9%2,255199.775704%9.775704%9.8%2,493209.174633%9.174633%9.2%1,278,0511.28M8.596307%8.596307%8.6%118,933119k8.571846%8.571846%8.6%2,348218.563121%8.563121%8.6%2,739228.543044%8.543044%8.5%4,162238.223020%8.223020%8.2%2,932248.206995%8.206995%8.2%1,781257.944951%7.944951%7.9%1,882267.272790%7.272790%7.3%2,099276.911877%6.911877%6.9%1,353286.682723%6.682723%6.7%2,414296.620459%6.620459%6.6%1,662306.354134%6.354134%6.4%1,617316.080066%6.080066%6.1%1,780325.681479%5.681479%5.7%3,048335.095688%5.095688%5.1%1,989344.988602%4.988602%5.0%1,313354.550513%4.550513%4.6%1,799364.457702%4.457702%4.5%1,203374.187380%4.187380%4.2%1,314383.898356%3.898356%3.9%1,034393.830437%3.830437%3.8%1,003403.829155%3.829155%3.8%979413.691019%3.691019%3.7%2,511423.532710%3.532710%3.5%857433.513806%3.513806%3.5%943443.420021%3.420021%3.4%864453.328937%3.328937%3.3%732463.226913%3.226913%3.2%847472.130671%2.130671%2.1%542481.842560%1.842560%1.8%459491.802981%1.802981%1.8%49650
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#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Kaw Township, selected other county subdivisions in Missouri, and entities that contain the Kaw Township
0%20%40%60%Count#Missouri River TownshipMissouri RivClayton TownshipClaytonChesterfield TownshipChesterfieldJefferson TownshipJeffersonHadley TownshipHadleyCreve Coeur TownshipCreve CoeurLafayette TownshipLafayetteBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsMissouri TownshipMissouriWildhorse TownshipWildhorseQueeny TownshipQueenyMeramec TownshipMeramecColumbia TownshipColumbiaPrairie TownshipPrairieKaw TownshipBoone TownshipBooneGravois TownshipGravoisLiberty TownshipLibertyTesson Ferry TownshipTesson FerryOakville TownshipOakvilleJefferson TownshipJeffersonKansas City Metro AreaKansas CityUniversity TownshipUnivCape Girardeau TownshipCape GirardeauConcord TownshipConcordSt. LouisKansas CityChouteau TownshipChouteauSni-A-Bar TownshipSni-A-BarUnited States of AmericaUnited StatesWest North CentralJackson CountyJacksonCullen TownshipCullenMidwestWentzville TownshipWentzvilleNorthwest TownshipNWSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkMissouriGallatin TownshipGallatinSpringfield TownshipSpringfieldFlorissant TownshipFlorissantRock TownshipJoplin TownshipJoplinLemay TownshipLemayFerguson TownshipFergusonWashington TownshipWashingtonWashington TownshipWashingtonBrooking TownshipBrookingAirport TownshipAirportNormandy TownshipNormandyMidland TownshipMidlandSt. Francois TownshipSt. FrancoisBlue TownshipSt. Ferdinand TownshipSt. FerdinandNorwood TownshipNorwood71.743062%71.743062%71.7%18,25018.3k170.432033%70.432033%70.4%18,48718.5k268.124318%68.124318%68.1%18,74118.7k367.676930%67.676930%67.7%16,85916.9k466.683342%66.683342%66.7%14,66314.7k561.702128%61.702128%61.7%16,55916.6k659.413001%59.413001%59.4%14,41314.4k758.403710%58.403710%58.4%15,49115.5k857.956846%57.956846%58.0%15,17615.2k956.895331%56.895331%56.9%22,49322.5k1052.990540%52.990540%53.0%13,38713.4k1152.545593%52.545593%52.5%13,83013.8k1250.041069%50.041069%50.0%12,79412.8k1344.097418%44.097418%44.1%14,10514.1k1443.179480%43.179480%43.2%29,37529.4k1541.581304%41.581304%41.6%50,61950.6k1640.924156%40.924156%40.9%12,84212.8k1740.714627%40.714627%40.7%10,22110.2k1840.532370%40.532370%40.5%15,82115.8k1940.193332%40.193332%40.2%11,76711.8k2038.348094%38.348094%38.3%10,34910.3k2136.633170%36.633170%36.6%13,23313.2k2234.986657%34.986657%35.0%484,053484k34.593169%34.593169%34.6%7,6062333.907145%33.907145%33.9%8,6472433.458674%33.458674%33.5%9,1652533.007421%33.007421%33.0%72,14372.1k2632.996107%32.996107%33.0%104,434104k32.000224%32.000224%32.0%11,41011.4k2730.703847%30.703847%30.7%16,47216.5k2830.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.426576%29.426576%29.4%135,098135k29.343550%29.343550%29.3%5,7442928.952816%28.952816%29.0%13,118,64213.1M28.661516%28.661516%28.7%8,2723027.883508%27.883508%27.9%6,0513127.803107%27.803107%27.8%6,5863227.746778%27.746778%27.7%7,0613327.634687%27.634687%27.6%1,125,6651.13M27.533971%27.533971%27.5%13,41413.4k3426.964567%26.964567%27.0%27,92127.9k3526.084002%26.084002%26.1%6,1423623.617598%23.617598%23.6%5,0573722.273216%22.273216%22.3%6,2123821.247374%21.247374%21.2%5,4613920.860507%20.860507%20.9%4,7664020.553744%20.553744%20.6%10,77910.8k4119.744597%19.744597%19.7%9,2464219.100775%19.100775%19.1%9,8394318.927823%18.927823%18.9%4,4244418.583775%18.583775%18.6%3,8924517.401908%17.401908%17.4%4,0674616.325594%16.325594%16.3%3,5584715.821208%15.821208%15.8%16,95117.0k4814.080741%14.080741%14.1%2,7384912.335543%12.335543%12.3%2,41950
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#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 the Kaw Township, selected other county subdivisions in Missouri, and entities that contain the Kaw Township
0%5%10%15%Count#Clayton TownshipClaytonHadley TownshipHadleyMissouri River TownshipMissouri RivMissouri TownshipMissouriJefferson TownshipJeffersonCreve Coeur TownshipCreve CoeurChesterfield TownshipChesterfieldUniversity TownshipUnivBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsLafayette TownshipLafayetteColumbia TownshipColumbiaKaw TownshipQueeny TownshipQueenySt. LouisWildhorse TownshipWildhorsePrairie TownshipPrairieGravois TownshipGravoisMeramec TownshipMeramecCape Girardeau TownshipCape GirardeauKansas CityTesson Ferry TownshipTesson FerryUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityJefferson TownshipJeffersonJackson CountyJacksonWest North CentralSpringfield TownshipSpringfieldMidwestMissouriGallatin TownshipGallatinChouteau TownshipChouteauSni-A-Bar TownshipSni-A-BarConcord TownshipConcordLiberty TownshipLibertyOakville TownshipOakvilleBoone TownshipBooneWashington TownshipWashingtonSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkRock TownshipSt. Francois TownshipSt. FrancoisBrooking TownshipBrookingNorthwest TownshipNWWentzville TownshipWentzvilleFerguson TownshipFergusonCullen TownshipCullenFlorissant TownshipFlorissantJoplin TownshipJoplinNormandy TownshipNormandyAirport TownshipAirportWashington TownshipWashingtonBlue TownshipMidland TownshipMidlandSt. Ferdinand TownshipSt. FerdinandLemay TownshipLemayNorwood TownshipNorwood15.361170%15.361170%15.4%4,032114.975670%14.975670%15.0%3,293214.647378%14.647378%14.6%3,726311.880913%11.880913%11.9%4,697410.621814%10.621814%10.6%2,646510.451988%10.451988%10.5%2,80569.712832%9.712832%9.7%2,67277.995634%7.995634%8.0%1,75887.329211%7.329211%7.3%1,94497.103303%7.103303%7.1%1,860106.694423%6.694423%6.7%1,624116.380917%6.380917%6.4%2,041125.896414%5.896414%5.9%7,178135.334347%5.334347%5.3%1,404144.880448%4.880448%4.9%10,66710.7k154.298777%4.298777%4.3%1,086164.176099%4.176099%4.2%2,841174.174634%4.174634%4.2%1,048183.739195%3.739195%3.7%956193.701670%3.701670%3.7%944203.435344%3.435344%3.4%10,87310.9k3.415767%3.415767%3.4%1,000213.336158%3.336158%3.3%7,127,6737.13M3.293084%3.293084%3.3%45,56145.6k3.189104%3.189104%3.2%1,152223.016759%3.016759%3.0%13,85013.9k2.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015232.893416%2.893416%2.9%1,311,0191.31M2.822400%2.822400%2.8%114,967115k2.500103%2.500103%2.5%1,218242.414741%2.414741%2.4%861252.369147%2.369147%2.4%1,271262.288989%2.288989%2.3%627272.264750%2.264750%2.3%884282.204765%2.204765%2.2%595292.160612%2.160612%2.2%678302.116584%2.116584%2.1%1,110311.802600%1.802600%1.8%427321.760453%1.760453%1.8%448331.732673%1.732673%1.7%371341.711480%1.711480%1.7%373351.566656%1.566656%1.6%807361.525275%1.525275%1.5%331371.472575%1.472575%1.5%425381.444391%1.444391%1.4%330391.297573%1.297573%1.3%254401.227333%1.227333%1.2%289411.211904%1.211904%1.2%338421.098219%1.098219%1.1%230431.052496%1.052496%1.1%246441.018621%1.018621%1.0%477450.997751%0.997751%1.0%1,069460.919944%0.919944%0.9%215470.791977%0.791977%0.8%154480.700335%0.700335%0.7%180490.662927%0.662927%0.7%13050
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#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 the Kaw Township, selected other county subdivisions in Missouri, and entities that contain the Kaw Township
Female
Male
3x2x1x0x1xFM#ClaytonLafayetteNorwoodFlorissantCullenJeffersonJoplinGravoisBrookingWentzvilleFergusonMidlandLewis and ClarkSt. FrancoisBlue TownshipWashingtonWest North CentralJacksonWashingtonMidwestKaw TownshipKansas CityUnited StatesKansas CityRock TownshipMissouriGallatinAirportNormandyLibertySpringfieldSni-A-BarSt. LouisUnivBonhommeBoonePrairieOakvilleNWSt. FerdinandChouteauCape GirardeauCreve CoeurMeramecConcordColumbiaQueenyLemayHadleyMissouri RivJeffersonMaryland HtsTesson FerrySpanish LkMissouriWildhorseChesterfield-1.000000x-1.000000x1.661979x1.661979x1.66x2.451%2.45%4.074%4.07%1-1.000000x-1.000000x1.413151x1.413151x1.41x2.955%2.96%4.176%4.18%2-1.000000x-1.000000x1.394530x1.394530x1.39x12.860%12.9%17.933%17.9%3-1.000000x-1.000000x1.355904x1.355904x1.36x8.918%8.92%12.092%12.1%4-1.000000x-1.000000x1.327941x1.327941x1.33x5.887%5.89%7.818%7.82%5-1.000000x-1.000000x1.293811x1.293811x1.29x1.626%1.63%2.103%2.10%6-1.000000x-1.000000x1.292613x1.292613x1.29x8.917%8.92%11.526%11.5%7-1.000000x-1.000000x1.249430x1.249430x1.25x5.921%5.92%7.397%7.40%8-1.000000x-1.000000x1.233432x1.233432x1.23x9.009%9.01%11.113%11.1%9-1.000000x-1.000000x1.225539x1.225539x1.23x6.552%6.55%8.029%8.03%10-1.000000x-1.000000x1.206282x1.206282x1.21x9.055%9.05%10.923%10.9%11-1.000000x-1.000000x1.200898x1.200898x1.20x12.806%12.8%15.379%15.4%12-1.000000x-1.000000x1.197697x1.197697x1.20x5.834%5.83%6.987%6.99%13-1.000000x-1.000000x1.168095x1.168095x1.17x15.162%15.2%17.710%17.7%14-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%15-1.000000x-1.000000x1.153736x1.153736x1.15x9.932%9.93%11.459%11.5%16-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.134893x1.134893x1.13x9.563%9.56%10.853%10.9%-1.000000x-1.000000x1.129340x1.129340x1.13x12.639%12.6%14.274%14.3%17-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%18-1.000000x-1.000000x1.115083x1.115083x1.12x8.146%8.15%9.083%9.08%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107254x1.107254x1.11x10.323%10.3%11.430%11.4%-1.000000x-1.000000x1.107062x1.107062x1.11x11.143%11.1%12.336%12.3%19-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.081405x1.081405x1.08x8.224%8.22%8.894%8.89%20-1.000000x-1.000000x1.070831x1.070831x1.07x14.307%14.3%15.321%15.3%21-1.000000x-1.000000x1.059691x1.059691x1.06x15.107%15.1%16.009%16.0%22-1.000000x-1.000000x1.031907x1.031907x1.03x5.018%5.02%5.178%5.18%23-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%24-1.000000x-1.000000x1.026158x1.026158x1.03x5.612%5.61%5.758%5.76%25-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%26-1.000000x-1.000000x1.015157x1.015157x1.02x10.525%10.5%10.684%10.7%27-1.024143x-1.024143x1.02x1.000000x1.000000x3.941%3.94%3.848%3.85%28-1.033385x-1.033385x1.03x1.000000x1.000000x4.254%4.25%4.116%4.12%29-1.041840x-1.041840x1.04x1.000000x1.000000x3.762%3.76%3.611%3.61%30-1.042683x-1.042683x1.04x1.000000x1.000000x4.547%4.55%4.361%4.36%31-1.055391x-1.055391x1.06x1.000000x1.000000x8.409%8.41%7.968%7.97%32-1.067453x-1.067453x1.07x1.000000x1.000000x13.492%13.5%12.640%12.6%33-1.102472x-1.102472x1.10x1.000000x1.000000x8.610%8.61%7.809%7.81%34-1.111641x-1.111641x1.11x1.000000x1.000000x10.259%10.3%9.229%9.23%35-1.129885x-1.129885x1.13x1.000000x1.000000x3.705%3.71%3.280%3.28%36-1.132648x-1.132648x1.13x1.000000x1.000000x4.061%4.06%3.585%3.59%37-1.149013x-1.149013x1.15x1.000000x1.000000x9.114%9.11%7.932%7.93%38-1.154286x-1.154286x1.15x1.000000x1.000000x9.165%9.16%7.940%7.94%39-1.160196x-1.160196x1.16x1.000000x1.000000x5.326%5.33%4.591%4.59%40-1.168832x-1.168832x1.17x1.000000x1.000000x15.310%15.3%13.098%13.1%41-1.176084x-1.176084x1.18x1.000000x1.000000x3.588%3.59%3.051%3.05%42-1.248040x-1.248040x1.25x1.000000x1.000000x2.350%2.35%1.883%1.88%43-1.250242x-1.250242x1.25x1.000000x1.000000x7.369%7.37%5.894%5.89%44-1.327312x-1.327312x1.33x1.000000x1.000000x4.358%4.36%3.283%3.28%45-1.366415x-1.366415x1.37x1.000000x1.000000x6.917%6.92%5.062%5.06%46-1.379042x-1.379042x1.38x1.000000x1.000000x8.979%8.98%6.511%6.51%47-1.468110x-1.468110x1.47x1.000000x1.000000x5.354%5.35%3.647%3.65%48-1.482681x-1.482681x1.48x1.000000x1.000000x4.031%4.03%2.719%2.72%49-3.568132x-3.568132x3.57x1.000000x1.000000x2.737%2.74%0.767%0.77%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 the Kaw Township, selected other county subdivisions in Missouri, and entities that contain the Kaw Township
Female
Male
1x0x1x2x3x4xFM#AirportMidlandMissouri RivLafayetteOakvilleCullenChesterfieldGravoisJoplinClaytonUnivSt. FrancoisMeramecConcordCreve CoeurBonhommeBlue TownshipNormandySpringfieldTesson FerryWashingtonPrairieBrookingChouteauJeffersonSt. FerdinandColumbiaNWMidwestMissouriWest North CentralLibertyMissouriCape GirardeauUnited StatesHadleyKansas CityJacksonJeffersonRock TownshipKansas CityQueenyKaw TownshipMaryland HtsSt. LouisGallatinSpanish LkSni-A-BarWildhorseWentzvilleLemayWashingtonFlorissantBooneLewis and ClarkNorwoodFerguson-1.000000x-1.000000x4.105211x4.105211x4.11x0.431%0.43%1.770%1.77%1-1.000000x-1.000000x3.374462x3.374462x3.37x0.435%0.44%1.469%1.47%2-1.000000x-1.000000x2.978747x2.978747x2.98x7.591%7.59%22.613%22.6%3-1.000000x-1.000000x2.891573x2.891573x2.89x3.534%3.53%10.219%10.2%4-1.000000x-1.000000x2.616560x2.616560x2.62x1.243%1.24%3.253%3.25%5-1.000000x-1.000000x2.236448x2.236448x2.24x0.784%0.78%1.752%1.75%6-1.000000x-1.000000x2.233412x2.233412x2.23x6.130%6.13%13.690%13.7%7-1.000000x-1.000000x2.233340x2.233340x2.23x2.635%2.63%5.884%5.88%8-1.000000x-1.000000x2.213574x2.213574x2.21x0.768%0.77%1.699%1.70%9-1.000000x-1.000000x2.130456x2.130456x2.13x9.974%9.97%21.249%21.2%10-1.000000x-1.000000x2.074667x2.074667x2.07x5.484%5.48%11.378%11.4%11-1.000000x-1.000000x1.979338x1.979338x1.98x1.112%1.11%2.201%2.20%12-1.000000x-1.000000x1.947853x1.947853x1.95x2.557%2.56%4.981%4.98%13-1.000000x-1.000000x1.901670x1.901670x1.90x1.619%1.62%3.079%3.08%14-1.000000x-1.000000x1.897752x1.897752x1.90x7.445%7.44%14.128%14.1%15-1.000000x-1.000000x1.839704x1.839704x1.84x5.292%5.29%9.735%9.74%16-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%17-1.000000x-1.000000x1.757641x1.757641x1.76x0.829%0.83%1.456%1.46%18-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%19-1.000000x-1.000000x1.741722x1.741722x1.74x2.559%2.56%4.457%4.46%20-1.000000x-1.000000x1.705183x1.705183x1.71x1.569%1.57%2.675%2.67%21-1.000000x-1.000000x1.677680x1.677680x1.68x3.170%3.17%5.319%5.32%22-1.000000x-1.000000x1.672473x1.672473x1.67x1.203%1.20%2.012%2.01%23-1.000000x-1.000000x1.664135x1.664135x1.66x1.828%1.83%3.042%3.04%24-1.000000x-1.000000x1.660593x1.660593x1.66x2.439%2.44%4.050%4.05%25-1.000000x-1.000000x1.656176x1.656176x1.66x0.623%0.62%1.032%1.03%26-1.000000x-1.000000x1.627926x1.627926x1.63x4.877%4.88%7.940%7.94%27-1.000000x-1.000000x1.594382x1.594382x1.59x1.199%1.20%1.911%1.91%28-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.564163x1.564163x1.56x1.779%1.78%2.782%2.78%29-1.000000x-1.000000x1.556641x1.556641x1.56x9.413%9.41%14.653%14.7%30-1.000000x-1.000000x1.530094x1.530094x1.53x2.964%2.96%4.535%4.54%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523750x1.523750x1.52x11.953%12.0%18.213%18.2%32-1.000000x-1.000000x1.517617x1.517617x1.52x2.637%2.64%4.002%4.00%-1.000000x-1.000000x1.495280x1.495280x1.50x2.444%2.44%3.654%3.65%-1.000000x-1.000000x1.465462x1.465462x1.47x8.768%8.77%12.849%12.8%33-1.000000x-1.000000x1.461492x1.461492x1.46x1.416%1.42%2.069%2.07%34-1.000000x-1.000000x1.430657x1.430657x1.43x2.849%2.85%4.076%4.08%-1.000000x-1.000000x1.429705x1.429705x1.43x4.455%4.46%6.369%6.37%35-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%36-1.000000x-1.000000x1.284414x1.284414x1.28x6.233%6.23%8.006%8.01%37-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%38-1.000000x-1.000000x1.271646x1.271646x1.27x2.214%2.21%2.815%2.82%39-1.000000x-1.000000x1.233946x1.233946x1.23x1.642%1.64%2.026%2.03%40-1.000000x-1.000000x1.228666x1.228666x1.23x2.136%2.14%2.625%2.62%41-1.000000x-1.000000x1.189595x1.189595x1.19x3.950%3.95%4.699%4.70%42-1.000000x-1.000000x1.180028x1.180028x1.18x1.354%1.35%1.597%1.60%43-1.000000x-1.000000x1.108475x1.108475x1.11x0.665%0.67%0.737%0.74%44-1.000000x-1.000000x1.066269x1.066269x1.07x0.988%0.99%1.054%1.05%45-1.000000x-1.000000x1.014307x1.014307x1.01x1.220%1.22%1.237%1.24%46-1.112780x-1.112780x1.11x1.000000x1.000000x2.272%2.27%2.042%2.04%47-1.257957x-1.257957x1.26x1.000000x1.000000x1.940%1.94%1.542%1.54%48-1.563504x-1.563504x1.56x1.000000x1.000000x0.775%0.77%0.496%0.50%49-1.780772x-1.780772x1.78x1.000000x1.000000x1.786%1.79%1.003%1.00%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Kaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kaw Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMissouriMaine TownshipMaineTopekaMinneapolisKansas CitySpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceJackson CountyJacksonSioux FallsWest North CentralCapital TownshipCapitalKansas City Metro AreaKansas CityWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.167196%11.167196%11.2%454,882455k11.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.852627%10.852627%10.9%34,34934.3k10.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,1613310.173992%10.173992%10.2%46,70946.7k9.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.596307%8.596307%8.6%118,933119k8.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Kaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kaw Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalKansas City Metro AreaKansas CityColumbusOmahaCincinnatiSt. LouisKansas CityGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralJackson CountyJacksonMidwestWichitaMissouriSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.986657%34.986657%35.0%484,053484k34.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.996107%32.996107%33.0%104,434104k32.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M29.426576%29.426576%29.4%135,098135k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.634687%27.634687%27.6%1,125,6651.13M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 the Kaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kaw Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineKansas CityWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityTopekaGrand RapidsLawrence TownshipLawrenceJackson CountyJacksonWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheMissouriCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.435344%3.435344%3.4%10,87310.9k3.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.293084%3.293084%3.3%45,56145.6k3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472253.016759%3.016759%3.0%13,85013.9k2.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.822400%2.822400%2.8%114,967115k2.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 the Kaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kaw Township
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralJacksonWayneMidwestTopekaMilwaukeeKaw TownshipKansas CityDaytonSioux FallsUnited StatesOlatheKansas CityWorthNOverland ParkMissouriAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.134893x1.134893x1.13x9.563%9.56%10.853%10.9%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.115083x1.115083x1.12x8.146%8.15%9.083%9.08%-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.107254x1.107254x1.11x10.323%10.3%11.430%11.4%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 the Kaw Township, selected other county subdivisions in the Midwest, and entities that contain the Kaw Township
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestMissouriBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborKansas CityJacksonTopekaSterling HtsPalatineSchaumburgKansas CityColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.517617x1.517617x1.52x2.637%2.64%4.002%4.00%-1.000000x-1.000000x1.495280x1.495280x1.50x2.444%2.44%3.654%3.65%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.430657x1.430657x1.43x2.849%2.85%4.076%4.08%-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Kaw Township, selected other county subdivisions in the United States, and entities that contain the Kaw Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoKaw TownshipTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaMissouriKansas CitySalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestJackson CountyJacksonNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleKansas City Metro AreaKansas CityNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.455744%12.455744%12.5%15,16315.2k12.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4111.167196%11.167196%11.2%454,882455k10.852627%10.852627%10.9%34,34934.3k10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.173992%10.173992%10.2%46,70946.7k10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.596307%8.596307%8.6%118,933119k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Kaw Township, selected other county subdivisions in the United States, and entities that contain the Kaw Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteKaw TownshipTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoKansas City Metro AreaKansas CityColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityKansas CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreJackson CountyJacksonLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoMissouriEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1241.581304%41.581304%41.6%50,61950.6k38.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.986657%34.986657%35.0%484,053484k34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.996107%32.996107%33.0%104,434104k32.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.426576%29.426576%29.4%135,098135k29.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.634687%27.634687%27.6%1,125,6651.13M27.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 the Kaw Township, selected other county subdivisions in the United States, and entities that contain the Kaw Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastKaw TownshipDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…Kansas CityBrooklynSacramentoColumbusUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityTulsaJackson CountyJacksonPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoMissouriAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.896414%5.896414%5.9%7,1785.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.435344%3.435344%3.4%10,87310.9k3.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.293084%3.293084%3.3%45,56145.6k3.140490%3.140490%3.1%12,13312.1k313.016759%3.016759%3.0%13,85013.9k3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.822400%2.822400%2.8%114,967115k2.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 the Kaw Township, selected other county subdivisions in the United States, and entities that contain the Kaw Township
Female
Male
1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralJacksonMidwestFresnoMilwaukeeKaw TownshipKansas CityUnited StatesKansas CityNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioMissouriSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.134893x1.134893x1.13x9.563%9.56%10.853%10.9%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%-1.000000x-1.000000x1.115083x1.115083x1.12x8.146%8.15%9.083%9.08%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107254x1.107254x1.11x10.323%10.3%11.430%11.4%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 the Kaw Township, selected other county subdivisions in the United States, and entities that contain the Kaw Township
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestMissouriNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesKansas CitySan JoseJacksonHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyKansas CityHoustonSan BernardinoColumbusMiamiAtlantaKaw TownshipMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.517617x1.517617x1.52x2.637%2.64%4.002%4.00%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.495280x1.495280x1.50x2.444%2.44%3.654%3.65%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.430657x1.430657x1.43x2.849%2.85%4.076%4.08%-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Missouri
County:
Jackson
Metro Area:
Kansas City Area
City:
Kansas City
ZIP Codes:
64030, 64101, 64102, 64105, 64106, 64108, 64109, 64110, 64111, 64112, 64113, 64114, 64120, 64123, 64124, 64127, 64128, 64129, 64130, 64131, 64137, 64145, 64146, 64147
Unified School Districts:
Center 58, Grandview C-4, Hickman Mills C-1, Kansas City 33
Neighborhoods:
Armour Hills, Arnour Fields, Beacon Hills, Blue Hills, Blue Hills Estates, Bonne Hills, Bridlespur, Broadway Gillham, Brown Estates, Central Blue Valley - Park Tower Grade, Central Business District - Downtown, Central Hyde Park, Coleman Highlands, Country Club Plaza, Country Lane Estates, Crown Center, East Community Team North, East Community Team South, Eastern 49-63, Eastwood Hills West, Foxcroft and Glen Arbor, Greenway Fields, Hanover Place, Holmes Park, Independence Plaza, Ingleside, Ivanhoe Northeast, Ivanhoe Southeast, Key Coalition, Knoches Park, Lea Manor, Linwood Homeowner - Ivanhoe, Longfellow, Lykins, Manheim Park, Martin City, Mission Lake, Morningside, Mount Hope, North Hyde Park, North India Mound, North Town Fork Creek, Northest Industrial District, Oak Meyer Gardens, Oak Park Northwest, Oak Park Southeast, Oak Park Southwest, Old Westport, Palestine East, Palestine West and Oak Park Northeast, Pendleton Heights, Plaza Westport, Red Bridge North, Red Ridge South, Richards Gebaur, River Market, Roanoke, Rolling Meadows, Romanelli West, Santa Fe, Santa Fe Hills, Sarritt Point, Sheffield, South Hyde Park, South India Mound, South Plaza, Southmoreland, Squier Park, Stanford Gardens, Sunset Hill, Sunset Hill West, Swope Parkway - Elmwood, Tower Homes, Union Hill, Valentine, Verona Hills, Vineyard, Vineyard Northwest, Volker, Waldo Homes, Ward Parkway, Ward Parkway Plaza, Washington Weatley, Wendell Phillips, West Blue Valley, West Plaza, West Waldo, Western 49-63, Western Hills, Westside North, Westside South, Westwood, Willow Creek, Woodbridge, Wornall Homestead
Congressional District:
MO-5
State Senate Districts:
MO-7, MO-9, MO-11
State House Districts:
MO-19, MO-22, MO-23, MO-24, MO-25, MO-26, MO-27, MO-36, MO-37, MO-56
Neighboring Townships:
Blue, Brooking, Gallatin, Mount Pleasant, Oxford, Washington
Nearby Townships:
Aubry, Prairie, Raymore