Educational Attainment in the Mound Township, Miami County, Kansas (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Miami County and the Mound Township
Mound Township
Miami County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.310345%34.810357%29.310345%29.3%11965.763547%59.878738%65.763547%65.8%2674.926108%5.310904%4.926108%4.9%20
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 Miami County at large.
Scope: population of Miami County and the Mound Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-15.799931%-15.799931%-15.8%29.310%29.3%34.810%34.8%9.827877%9.827877%+9.8%65.764%65.8%59.879%59.9%-7.245396%-7.245396%-7.2%4.926%4.93%5.311%5.31%
% percentage with given level in the Mound Township
ref. percentage with given level in Miami 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 Miami County and the Mound Township
Mound Township
Miami County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.428519%00.000000%0.000000%0.0%0.898067%08.374384%6.295587%8.374384%8.4%3412.561576%17.081510%12.561576%12.6%518.374384%10.106674%8.374384%8.4%3437.192118%27.698760%37.192118%37.2%15128.571429%32.179978%28.571429%28.6%1164.187192%3.250365%4.187192%4.2%170.000000%0.000000%0.0%1.818928%00.738916%0.241612%0.738916%0.7%3
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 Miami County at large.
Scope: population of Miami County and the Mound Township
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.429%0.43%-100.000000%-100.000000%-100.0%0.000%0%0.898%0.90%33.019908%33.019908%+33.0%8.374%8.37%6.296%6.30%-26.460972%-26.460972%-26.5%12.562%12.6%17.082%17.1%-17.140057%-17.140057%-17.1%8.374%8.37%10.107%10.1%34.273585%34.273585%+34.3%37.192%37.2%27.699%27.7%-11.213648%-11.213648%-11.2%28.571%28.6%32.180%32.2%28.822225%28.822225%+28.8%4.187%4.19%3.250%3.25%-100.000000%-100.000000%-100.0%0.000%0%1.819%1.82%205.827679%205.827679%+205.8%0.739%0.74%0.242%0.24%
% percentage with given level in the Mound Township
ref. percentage with given level in Miami 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 Miami County and the Mound Township
More Females More Males
Miami County
Mound Township
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-14.093126%-10.959316%-14.093126%14%31.220%31.2%27.363%27.4%7.481822%2.047968%7.481822%7%63.415%63.4%68.159%68.2%-19.837398%-19.837398%20%57.842198%5.366%5.37%4.478%4.48%
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 Miami County and the Mound Township
More Females More Males
Miami County
Mound Township
1k%0k%1k%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3None-57.273419%1.990050%1.990050%0k%8.293%8.29%8.458%8.46%-218.658537%-218.658537%0k%2.659200%19.024%19.0%5.970%5.97%-15.031006%231.467662%231.467662%0k%3.902%3.90%12.935%12.9%-13.456446%-5.221161%-13.456446%0k%39.512%39.5%34.826%34.8%39.455782%8.486264%39.455782%0k%23.902%23.9%33.333%33.3%14.738806%105.537051%14.738806%0k%3.902%3.90%4.478%4.48%-1,000.000000%-1,000.000000%> 1000%1,000.000000%1.463%1.46%0.000%0%
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 Miami County and the Mound Township
Mound Township
Miami County
0%5%10%15%20%25%30%35%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%9.996057%0637.017544%18.078210%7.017544%7.0%1217135.869565%21.296525%35.869565%35.9%33927.500000%19.950663%7.500000%7.5%680
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 Miami County at large.
Scope: population of Miami County and the Mound Township
100%50%0%50%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%9.996%10.00%-61.182308%-61.182308%61.2%7.018%7.02%18.078%18.1%68.429197%68.429197%68.4%35.870%35.9%21.297%21.3%-62.407264%-62.407264%62.4%7.500%7.50%19.951%20.0%
% percentage in the Mound Township with a Bachelor's degree
ref percentage in Miami 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 Miami County and the Mound Township
More Females More Males
Miami County
Mound Township
1,000%500%0%FM45-6435-4425-34-1,000.000000%-20.543893%-1,000.000000%> 1000%14.458%14.5%0.000%0%-82.777778%-82.777778%82.8%7.691633%46.667%46.7%25.532%25.5%-1,000.000000%-1,000.000000%> 1000%2.884747%17.647%17.6%0.000%0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Miami County and the Mound Township
Mound Township
Miami County
$0k$20k$40k$60kCount%Some CollegeH.S. Diploma2Total$70,563.000000$39,923.000000$70,563.000000$70.6k18545.567%45.6%$25,446.000000$34,291.000000$25,446.000000$25.4k11628.571%28.6%$29,167.000000$40,625.000000$29,167.000000$29.2k406100.000%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 Miami County and the Mound Township
Female Male
Miami County
Mound Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40k$60kFMSome CollegeTotal$-13,750.000000$-29,109.000000$-13,750.000000$13.8k$13,750.000000$57,563.000000$29,109.000000$21,187.000000$71,313.000000$71.3k8996$-23,846.000000$-31,992.000000$-23,846.000000$23.8k$23,846.000000$26,779.000000$31,992.000000$18,018.000000$50,625.000000$50.6k205201
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Miami County and the Mound Township
Mound Township
Miami County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma391.176471%86.108049%91.176471%91.2%6250.609756%81.145585%50.609756%50.6%8378.021978%73.960254%78.021978%78.0%7185.000000%53.629032%85.000000%85.0%17
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Miami County and the Mound Township
Female Male
Miami County
Mound Township
Shaded bar tips show excess over facing bar.
4%2%0%2%4%MFWhite1-4.663212%-0.864426%-3.901073%-5.527638%5.5%4.663212%3.901073%1.958071%4.663212%4.7%911
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Miami County and the Mound Township
Female Male
Miami County
Mound Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1-15.025907%-10.099721%-24.117183%-1.837087%-25.125628%25.1%15.025907%24.117183%15.025907%15.0%2950
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Mound Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
21.1%23.2%25.2%27.3%29.3%31.4%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
63.8%65.8%67.8%69.7%71.7%73.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.72%4.83%4.93%5.04%5.15%5.26%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.25%0.51%0.76%1.01%1.27%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.42%0.53%0.64%0.74%0.85%0.96%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.38%2.52%2.65%2.78%2.91%3.05%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.2%9.9%11.6%13.3%15.0%16.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.38%9.53%9.68%9.83%9.99%10.14%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
29.160%29.200%29.239%29.279%29.319%29.359%

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

Percentage of the population 25 years and older with given highest level of educational attainment
34.7%36.6%38.5%40.4%42.3%44.3%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
2.25%2.64%3.02%3.40%3.79%4.18%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.65%0.99%1.33%1.67%2.01%2.35%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.12%0.19%0.25%0.31%0.37%0.43%
Road Data ©OpenStreetMap

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Educational Attainment by County Subdivision in the Kansas City Area

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

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Mound Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Mound 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 RivWashington TownshipWashingtonLansingMidwestDe SotoBrooking TownshipBrookingKansasWest 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 TownshipMiami CountyMiamiKearney TownshipKearneyRaymore TownshipRaymoreShawneeLiberty TownshipLibertyGardnerPlatte TownshipPlatteFairmount TownshipFairmountMound TownshipMoundLenexaPawnee 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%8211010.634663%10.634663%10.6%4,9801110.514597%10.514597%10.5%8501210.244520%10.244520%10.2%4,641,8354.64M10.062213%10.062213%10.1%372139.955155%9.955155%10.0%5,128149.691216%9.691216%9.7%182,049182k9.174633%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%464315.310904%5.310904%5.3%1,1655.154204%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%325384.926108%4.926108%4.9%204.370740%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Mound Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Mound 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 BurenPlatte TownshipPlatteChouteau TownshipChouteauKansasLeavenworthRaymore TownshipRaymoreSni-A-Bar TownshipSni-A-BarUnited States of AmericaUnited StatesDe SotoWest North CentralKearney TownshipKearneyMidwestLansingGallatin TownshipGallatinPleasant Hill TownshipPleasant HlMiami CountyMiamiWest Peculiar TownshipW PeculiarWashington TownshipWashingtonTonganoxie TownshipTonganoxieShoal TownshipShoalMount Pleasant TownshipMt PleasantPettis TownshipPettisMound TownshipMoundPaolaFishing 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%1,8712032.673021%32.673021%32.7%3,9422132.000224%32.000224%32.0%11,41011.4k2231.610465%31.610465%31.6%593,801594k31.370611%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%4,186,9564.19M29.393747%29.393747%29.4%2,7832728.952816%28.952816%29.0%13,118,64213.1M28.871846%28.871846%28.9%2,3342827.533971%27.533971%27.5%13,41413.4k2925.731383%25.731383%25.7%1,5483024.703683%24.703683%24.7%5,41924.596250%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%7573620.935961%20.935961%20.9%8520.864991%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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Mound Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Mound Township
0%5%10%Count#LeawoodPrairie VillagePrairie VlgOverland ParkKaw TownshipSioux TownshipSiouxLenexaRoeland ParkPrairie TownshipPrairieCarroll TownshipCarrollShawneePawnee TownshipPawneeMissionUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityFox TownshipKansasWest North CentralMay TownshipMidwestFairmount TownshipFairmountOlatheDe 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 SpgsMiami CountyMiamiPleasant Hill TownshipPleasant HlWashington TownshipWashingtonFort Osage TownshipFort OsageGrand River TownshipGrand RivWashington TownshipWashingtonBlue TownshipGardnerClay TownshipRichmond TownshipRichmondFishing River TownshipFishing RivSni-A-Bar TownshipSni-A-BarPaolaMound TownshipMound14.267649%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%235123.336158%3.336158%3.3%7,127,6737.13M3.293084%3.293084%3.3%45,56145.6k3.265687%3.265687%3.3%280133.019438%3.019438%3.0%56,72056.7k2.978981%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%2,349162.758994%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%70381.326586%1.326586%1.3%2911.263298%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%9500.000000%0.000000%0.0%0
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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Mound Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Mound Township
Female
Male
2x1x0x1x2x3xFM#PaolaPrairie VlgLansingSni-A-BarDe SotoMiamiPleasant HlVan BurenFishing RivWashingtonBrookingGardnerFishing RivKansas CityBlue TownshipWashingtonFairmountWest North CentralKansasMidwestKaw TownshipKansas CityUnited StatesOlatheTonganoxieOverland ParkGallatinLexingtonLibertySni-A-BarLeavenworthMt PleasantKearneyPettisGrand RivLenexaPrairieFort OsageChouteauPlatteShoalShawneeRaymoreMerriamMoundMay 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-1.000000x1.578422x1.578422x1.58x4.145%4.14%6.542%6.54%-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-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%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-1.000000x1.098920x1.098920x1.10x7.796%7.80%8.567%8.57%19-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%20-1.000000x-1.000000x1.081405x1.081405x1.08x8.224%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%38-1.198374x-1.198374x1.20x1.000000x1.000000x5.366%5.37%4.478%4.48%-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

Educational Attainment by County Subdivision in Kansas

There are 1,531 county subdivisions in Kansas. This section compares the Mound Township to the 50 most populous county subdivisions in Kansas and to those entities that contain or substantially overlap with the Mound Township. The least populous of the compared county subdivisions has a population of 7,732.

No H.S. Diploma by County Subdivision#32

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Mound Township, selected other county subdivisions in Kansas, and entities that contain the Mound Township
0%10%20%30%Count#LiberalDodge CityGarden CityKansas CityGreat BendCoffeyvilleArkansas CityParsonsHutchinsonEmporiaUnited States of AmericaUnited StatesWichitaChanutePittsburgSalinaTopekaNewtonFort ScottLansingRiverside TownshipRiversideIndependenceMidwestJunction CityAugustaOttawaWinfieldKansasWellingtonWest North CentralLeavenworthSalem TownshipSalemKansas City Metro AreaKansas CityKechi TownshipKechiEl DoradoAtchisonOlatheMerriamHaysMiami CountyMiamiShawneeGardnerFairmount TownshipFairmountMcPhersonMound TownshipMoundLawrenceTecumseh TownshipTecumsehLenexaManhattanBruno TownshipBrunoMissionRockford TownshipRockfordOverland ParkMission TownshipMissionMadison TownshipMadisonSoldier TownshipSoldierPrairie VillagePrairie VlgLeawood34.641303%34.641303%34.6%4,061132.097762%32.097762%32.1%5,135228.082803%28.082803%28.1%4,409322.659362%22.659362%22.7%21,21821.2k415.641026%15.641026%15.6%1,586515.171442%15.171442%15.2%969614.949801%14.949801%14.9%1,087714.551455%14.551455%14.6%970813.823602%13.823602%13.8%3,923913.704420%13.704420%13.7%1,9131013.020590%13.020590%13.0%27,818,38027.8M12.568464%12.568464%12.6%31,23131.2k1111.381977%11.381977%11.4%6771211.295872%11.295872%11.3%1,1821311.048593%11.048593%11.0%3,4561411.032803%11.032803%11.0%9,3771510.761381%10.761381%10.8%1,3711610.586383%10.586383%10.6%5381710.514597%10.514597%10.5%8501810.505186%10.505186%10.5%9421910.428082%10.428082%10.4%6092010.244520%10.244520%10.2%4,641,8354.64M10.182349%10.182349%10.2%1,3962110.146444%10.146444%10.1%5822210.071134%10.071134%10.1%807239.929435%9.929435%9.9%788249.691216%9.691216%9.7%182,049182k9.444135%9.444135%9.4%508259.174633%9.174633%9.2%1,278,0511.28M8.617355%8.617355%8.6%2,005268.603845%8.603845%8.6%546278.596307%8.596307%8.6%118,933119k8.502773%8.502773%8.5%506288.221457%8.221457%8.2%692297.664294%7.664294%7.7%463306.424130%6.424130%6.4%5,331316.386839%6.386839%6.4%528326.015657%6.015657%6.0%730335.310904%5.310904%5.3%1,1655.113489%5.113489%5.1%2,174345.078221%5.078221%5.1%620354.979317%4.979317%5.0%325364.929499%4.929499%4.9%444374.926108%4.926108%4.9%204.814682%4.814682%4.8%2,411384.468530%4.468530%4.5%235394.370740%4.370740%4.4%1,526404.012073%4.012073%4.0%1,090413.841537%3.841537%3.8%352423.518712%3.518712%3.5%236433.398651%3.398651%3.4%529443.377424%3.377424%3.4%4,282452.942916%2.942916%2.9%199462.354874%2.354874%2.4%86472.351807%2.351807%2.4%244481.096310%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#33

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Mound Township, selected other county subdivisions in Kansas, and entities that contain the Mound Township
0%20%40%60%Count#LeawoodPrairie VillagePrairie VlgOverland ParkLenexaLawrenceMissionManhattanMission TownshipMissionOlatheShawneeBruno TownshipBrunoRockford TownshipRockfordFairmount TownshipFairmountHaysKansas City Metro AreaKansas CityMerriamGardnerPittsburgSoldier TownshipSoldierKansasLeavenworthUnited States of AmericaUnited StatesWest North CentralTecumseh TownshipTecumsehMcPhersonMidwestWichitaLansingEmporiaKechi TownshipKechiTopekaMiami CountyMiamiNewtonAtchisonSalinaAugustaEl DoradoWinfieldFort ScottJunction CityMound TownshipMoundIndependenceOttawaRiverside TownshipRiversideParsonsGarden CityWellingtonHutchinsonGreat BendMadison TownshipMadisonDodge CityArkansas CityKansas CityChanuteCoffeyvilleSalem TownshipSalemLiberal74.085379%74.085379%74.1%16,99017.0k170.080948%70.080948%70.1%10,99511.0k258.823344%58.823344%58.8%74,57874.6k355.353153%55.353153%55.4%19,32619.3k453.552600%53.552600%53.6%26,81726.8k552.273744%52.273744%52.3%3,506652.149588%52.149588%52.1%14,16814.2k749.556344%49.556344%49.6%3,351846.512581%46.512581%46.5%38,59838.6k946.174291%46.174291%46.2%19,63119.6k1043.599258%43.599258%43.6%3,9951141.336332%41.336332%41.3%6,4341237.521066%37.521066%37.5%2,4491337.354759%37.354759%37.4%4,5331434.986657%34.986657%35.0%484,053484k34.135720%34.135720%34.1%2,8221533.729216%33.729216%33.7%4,1181633.581804%33.581804%33.6%3,5141732.771084%32.771084%32.8%3,4001831.610465%31.610465%31.6%593,801594k31.370611%31.370611%31.4%7,2991930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.549344%29.549344%29.5%1,5542029.121794%29.121794%29.1%2,6232128.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k2228.871846%28.871846%28.9%2,3342327.380185%27.380185%27.4%3,8222427.188708%27.188708%27.2%1,6182527.007248%27.007248%27.0%22,95423.0k2624.703683%24.703683%24.7%5,41924.513344%24.513344%24.5%3,1232723.671578%23.671578%23.7%1,4302823.516624%23.516624%23.5%7,3562922.960251%22.960251%23.0%1,3173021.527860%21.527860%21.5%1,8123121.509577%21.509577%21.5%1,7073221.507281%21.507281%21.5%1,0933321.356674%21.356674%21.4%2,9283420.935961%20.935961%20.9%8520.856164%20.856164%20.9%1,2183520.566579%20.566579%20.6%1,6483619.348723%19.348723%19.3%1,7353718.871887%18.871887%18.9%1,2583818.611465%18.611465%18.6%2,9223918.293363%18.293363%18.3%9844018.171888%18.171888%18.2%5,1574116.982249%16.982249%17.0%1,7224216.730559%16.730559%16.7%6114316.327041%16.327041%16.3%2,6124416.187595%16.187595%16.2%1,1774516.167409%16.167409%16.2%15,13915.1k4616.055817%16.055817%16.1%9554714.044152%14.044152%14.0%8974813.063347%13.063347%13.1%8294911.362279%11.362279%11.4%1,33250
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#34

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 Mound Township, selected other county subdivisions in Kansas, and entities that contain the Mound Township
0%5%10%Count#LeawoodManhattanPrairie VillagePrairie VlgLawrenceMission TownshipMissionOverland ParkLenexaShawneeHaysMissionPittsburgBruno TownshipBrunoUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityTopekaParsonsKansasAtchisonWest North CentralMidwestFairmount TownshipFairmountOlatheSalinaFort ScottWichitaEmporiaMerriamWellingtonKechi TownshipKechiSoldier TownshipSoldierMcPhersonLansingWinfieldTecumseh TownshipTecumsehGreat BendNewtonRockford TownshipRockfordJunction CityOttawaIndependenceLeavenworthChanuteKansas CityGarden CityDodge CityMiami CountyMiamiHutchinsonMadison TownshipMadisonRiverside TownshipRiversideGardnerEl DoradoLiberalArkansas CitySalem TownshipSalemCoffeyvilleAugustaMound TownshipMound14.267649%14.267649%14.3%3,272110.228946%10.228946%10.2%2,779210.198228%10.198228%10.2%1,60039.509545%9.509545%9.5%4,76247.068915%7.068915%7.1%47855.940071%5.940071%5.9%7,53165.358882%5.358882%5.4%1,87173.958603%3.958603%4.0%1,68383.765966%3.765966%3.8%45793.503802%3.503802%3.5%235103.373471%3.373471%3.4%353113.350431%3.350431%3.4%307123.336158%3.336158%3.3%7,127,6737.13M3.293084%3.293084%3.3%45,56145.6k3.233245%3.233245%3.2%2,748133.090309%3.090309%3.1%206143.019438%3.019438%3.0%56,72056.7k3.012746%3.012746%3.0%182152.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.849701%2.849701%2.8%186162.830666%2.830666%2.8%2,349172.608696%2.608696%2.6%816182.597403%2.597403%2.6%132192.519246%2.519246%2.5%6,260202.399885%2.399885%2.4%335212.237813%2.237813%2.2%185222.212307%2.212307%2.2%119232.150899%2.150899%2.2%128242.053012%2.053012%2.1%213251.942933%1.942933%1.9%175261.830777%1.830777%1.8%148271.814516%1.814516%1.8%144281.768397%1.768397%1.8%93291.715976%1.715976%1.7%174301.711146%1.711146%1.7%218311.612592%1.612592%1.6%251321.611962%1.611962%1.6%221331.584924%1.584924%1.6%127341.575342%1.575342%1.6%92351.439807%1.439807%1.4%335361.429052%1.429052%1.4%85371.388310%1.388310%1.4%1,300381.375796%1.375796%1.4%216391.343918%1.343918%1.3%215401.326586%1.326586%1.3%2911.018359%1.018359%1.0%289410.985761%0.985761%1.0%36420.970224%0.970224%1.0%87430.933737%0.933737%0.9%114440.796008%0.796008%0.8%67450.639768%0.639768%0.6%75460.577637%0.577637%0.6%42470.378191%0.378191%0.4%24480.266166%0.266166%0.3%17490.261506%0.261506%0.3%15500.000000%0.000000%0.0%0
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#35

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 Mound Township, selected other county subdivisions in Kansas, and entities that contain the Mound Township
Female
Male
2x0x2x4x6xFM#SoldierPrairie VlgLansingKechiMiamiSalemEl DoradoWinfieldCoffeyvillePittsburgHutchinsonGreat BendLawrenceGardnerIndependenceNewtonKansas CityChanuteFairmountWest North CentralKansasMidwestMissionTopekaDodge CityKansas CityArkansas CityUnited StatesOlatheFort ScottOverland ParkOttawaLiberalEmporiaWichitaHaysLeavenworthParsonsBrunoGarden CityLenexaSalinaRiversideShawneeMerriamMoundTecumsehRockfordWellingtonAugustaManhattanJunction CityMadisonMcPhersonMissionAtchisonLeawood-1.000000x-1.000000x6.409381x6.409381x6.41x0.652%0.65%4.177%4.18%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-1.000000x1.701345x1.701345x1.70x6.355%6.36%10.813%10.8%4-1.000000x-1.000000x1.578422x1.578422x1.58x4.145%4.14%6.542%6.54%-1.000000x-1.000000x1.576560x1.576560x1.58x6.708%6.71%10.575%10.6%5-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%6.93%9.775%9.78%6-1.000000x-1.000000x1.312419x1.312419x1.31x8.574%8.57%11.252%11.3%7-1.000000x-1.000000x1.305222x1.305222x1.31x13.337%13.3%17.408%17.4%8-1.000000x-1.000000x1.290383x1.290383x1.29x9.952%9.95%12.842%12.8%9-1.000000x-1.000000x1.285110x1.285110x1.29x12.110%12.1%15.563%15.6%10-1.000000x-1.000000x1.276094x1.276094x1.28x13.844%13.8%17.667%17.7%11-1.000000x-1.000000x1.232644x1.232644x1.23x4.323%4.32%5.329%5.33%12-1.000000x-1.000000x1.223779x1.223779x1.22x4.572%4.57%5.595%5.60%13-1.000000x-1.000000x1.221651x1.221651x1.22x9.421%9.42%11.510%11.5%14-1.000000x-1.000000x1.212719x1.212719x1.21x9.765%9.76%11.842%11.8%15-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%16-1.000000x-1.000000x1.181812x1.181812x1.18x10.500%10.5%12.409%12.4%17-1.000000x-1.000000x1.141862x1.141862x1.14x4.642%4.64%5.301%5.30%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127040x1.127040x1.13x2.776%2.78%3.129%3.13%19-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%20-1.000000x-1.000000x1.117097x1.117097x1.12x30.255%30.3%33.798%33.8%21-1.000000x-1.000000x1.115083x1.115083x1.12x8.146%8.15%9.083%9.08%-1.000000x-1.000000x1.113954x1.113954x1.11x14.168%14.2%15.782%15.8%22-1.000000x-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%23-1.000000x-1.000000x1.106385x1.106385x1.11x10.110%10.1%11.185%11.2%24-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%25-1.000000x-1.000000x1.080037x1.080037x1.08x9.713%9.71%10.491%10.5%26-1.000000x-1.000000x1.076705x1.076705x1.08x33.351%33.4%35.909%35.9%27-1.000000x-1.000000x1.064594x1.064594x1.06x13.284%13.3%14.142%14.1%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.056897x1.056897x1.06x5.851%5.85%6.184%6.18%30-1.000000x-1.000000x1.023913x1.023913x1.02x8.507%8.51%8.710%8.71%31-1.000000x-1.000000x1.002176x1.002176x1.00x14.537%14.5%14.568%14.6%32-1.021682x-1.021682x1.02x1.000000x1.000000x3.880%3.88%3.798%3.80%33-1.028302x-1.028302x1.03x1.000000x1.000000x28.471%28.5%27.687%27.7%34-1.036696x-1.036696x1.04x1.000000x1.000000x4.445%4.45%4.288%4.29%35-1.067382x-1.067382x1.07x1.000000x1.000000x11.394%11.4%10.675%10.7%36-1.114198x-1.114198x1.11x1.000000x1.000000x11.058%11.1%9.925%9.92%37-1.120654x-1.120654x1.12x1.000000x1.000000x5.393%5.39%4.812%4.81%38-1.159410x-1.159410x1.16x1.000000x1.000000x6.844%6.84%5.903%5.90%39-1.198374x-1.198374x1.20x1.000000x1.000000x5.366%5.37%4.478%4.48%-1.248115x-1.248115x1.25x1.000000x1.000000x4.950%4.95%3.966%3.97%40-1.345784x-1.345784x1.35x1.000000x1.000000x3.874%3.87%2.879%2.88%41-1.374204x-1.374204x1.37x1.000000x1.000000x10.926%10.9%7.951%7.95%42-1.534357x-1.534357x1.53x1.000000x1.000000x12.019%12.0%7.833%7.83%43-1.571770x-1.571770x1.57x1.000000x1.000000x4.938%4.94%3.142%3.14%44-1.599843x-1.599843x1.60x1.000000x1.000000x12.475%12.5%7.798%7.80%45-1.716758x-1.716758x1.72x1.000000x1.000000x3.140%3.14%1.829%1.83%46-1.760420x-1.760420x1.76x1.000000x1.000000x6.213%6.21%3.529%3.53%47-1.814184x-1.814184x1.81x1.000000x1.000000x4.429%4.43%2.441%2.44%48-2.476800x-2.476800x2.48x1.000000x1.000000x10.476%10.5%4.229%4.23%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

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#36

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Mound Township, selected other county subdivisions in the Midwest, and entities that contain the Mound Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsKansasWest North CentralCapital TownshipCapitalKansas City Metro AreaKansas CityWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMiami CountyMiamiMilton TownshipMiltonMound TownshipMoundMadisonDowners 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%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.691216%9.691216%9.7%182,049182k9.174633%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%4,715445.310904%5.310904%5.3%1,1655.266517%5.266517%5.3%4,126454.926108%4.926108%4.9%204.836248%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#37

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Mound Township, selected other county subdivisions in the Midwest, and entities that contain the Mound 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. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsKansasUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMiami CountyMiamiMilwaukeeRockford TownshipRockfordMound TownshipMoundAkronCenter 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%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2831.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3524.703683%24.703683%24.7%5,41923.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.935961%20.935961%20.9%8520.213821%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#38

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 Mound Township, selected other county subdivisions in the Midwest, and entities that contain the Mound Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityTopekaGrand RapidsLawrence TownshipLawrenceKansasWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityMiami CountyMiamiDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonMound TownshipMound17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.293084%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%2,472253.019438%3.019438%3.0%56,72056.7k2.978981%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%2,349292.602914%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%1,300431.326586%1.326586%1.3%2911.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.000000%0.000000%0.0%0
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#39

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 Mound Township, selected other county subdivisions in the Midwest, and entities that contain the Mound Township
Female
Male
1x0x1xFM#MiamiCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralKansasWayneMidwestTopekaMilwaukeeKaw TownshipKansas CityDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMoundMaine-1.000000x-1.000000x1.578422x1.578422x1.58x4.145%4.14%6.542%6.54%-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-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-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-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.198374x-1.198374x1.20x1.000000x1.000000x5.366%5.37%4.478%4.48%-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

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#40

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Mound Township, selected other county subdivisions in the United States, and entities that contain the Mound Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonKansasAtlantaWest North CentralSeattleKansas City Metro AreaKansas CityNortheast TarrantNE TarrantPlanoMiami CountyMiamiMound TownshipMoundSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.691216%9.691216%9.7%182,049182k9.538552%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%20,64420.6k495.310904%5.310904%5.3%1,1654.926108%4.926108%4.9%204.913852%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#41

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Mound Township, selected other county subdivisions in the United States, and entities that contain the Mound Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoKansas City Metro AreaKansas CityColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonKansasOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiMiami CountyMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoMound TownshipMoundBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.986657%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%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.610465%31.610465%31.6%593,801594k31.198303%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%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.703683%24.703683%24.7%5,41924.665414%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%72,12072.1k4620.935961%20.935961%20.9%8519.131504%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#42

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 Mound Township, selected other county subdivisions in the United States, and entities that contain the Mound Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityTulsaKansasPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-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 DallasBronxMiami CountyMiamiDetroitMound TownshipMound12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.293084%3.293084%3.3%45,56145.6k3.140490%3.140490%3.1%12,13312.1k313.019438%3.019438%3.0%56,72056.7k3.010825%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%11,83311.8k352.763004%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%15,06415.1k491.326586%1.326586%1.3%2911.318660%1.318660%1.3%5,693500.000000%0.000000%0.0%0
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#43

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 Mound Township, selected other county subdivisions in the United States, and entities that contain the Mound Township
Female
Male
1x0x1xFM#Miami1, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralKansasMidwestFresnoMilwaukeeKansas CityUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoMoundSan FranciscoEl Paso-1.000000x-1.000000x1.578422x1.578422x1.58x4.145%4.14%6.542%6.54%-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-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.115083x1.115083x1.12x8.146%8.15%9.083%9.08%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.198374x-1.198374x1.20x1.000000x1.000000x5.366%5.37%4.478%4.48%-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

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Kansas
County:
Miami
Metro Area:
Kansas City Area
ZIP Codes:
66026, 66042, 66064, 66072
Unified School Districts:
Osawatomie 367, Prairie View 362
Congressional District:
KS-2
State Senate District:
KS-12
State House District:
KS-5
Neighboring Townships:
Liberty, Osage, Osawatomie, Pottawatomie, Scott, Walker
Nearby Townships:
Cutler, Miami, Monroe, Paola, Peoria, Richmond, Stanton, Valley