Educational Attainment in the Washington Township, Lafayette County, Missouri (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Lafayette County and the Washington Township
Washington Township
Lafayette County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma219.219569%25.327898%19.219569%19.2%33068.025626%63.590039%68.025626%68.0%1,16812.754805%11.082063%12.754805%12.8%219
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 Lafayette County at large.
Scope: population of Lafayette County and the Washington Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-24.116999%-24.116999%-24.1%19.220%19.2%25.328%25.3%6.975286%6.975286%+7.0%68.026%68.0%63.590%63.6%15.094137%15.094137%+15.1%12.755%12.8%11.082%11.1%
% percentage with given level in the Washington Township
ref. percentage with given level in Lafayette 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 Lafayette County and the Washington Township
Washington Township
Lafayette County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.407688%0.895073%0.407688%0.4%70.465929%0.456398%0.465929%0.5%84.950495%4.293690%4.950495%5.0%859.143856%12.677242%9.143856%9.1%1574.251602%7.005495%4.251602%4.3%7320.966803%20.865828%20.966803%21.0%36047.058824%42.724211%47.058824%47.1%8087.746069%7.138426%7.746069%7.7%1334.775772%2.193371%4.775772%4.8%820.232964%1.750266%0.232964%0.2%4
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 Lafayette County at large.
Scope: population of Lafayette County and the Washington Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-54.451986%-54.451986%-54.5%0.408%0.41%0.895%0.90%2.088199%2.088199%+2.1%0.466%0.47%0.456%0.46%15.296979%15.296979%+15.3%4.950%4.95%4.294%4.29%-27.871887%-27.871887%-27.9%9.144%9.14%12.677%12.7%-39.310471%-39.310471%-39.3%4.252%4.25%7.005%7.01%0.483924%0.483924%+0.5%20.967%21.0%20.866%20.9%10.145564%10.145564%+10.1%47.059%47.1%42.724%42.7%8.512277%8.512277%+8.5%7.746%7.75%7.138%7.14%117.736597%117.736597%+117.7%4.776%4.78%2.193%2.19%-86.689767%-86.689767%-86.7%0.233%0.23%1.750%1.75%
% percentage with given level in the Washington Township
ref. percentage with given level in Lafayette 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 Lafayette County and the Washington Township
More Females More Males
Lafayette County
Washington Township
100%50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-17.580400%-46.638255%-17.580400%18%20.766%20.8%17.661%17.7%19.698622%15.383357%19.698622%20%61.949%61.9%74.152%74.2%-111.128605%-111.128605%111%3.814455%17.285%17.3%8.187%8.19%
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 Lafayette County and the Washington Township
More Females More Males
Lafayette County
Washington Township
1,000%500%0%500%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-1,000.000000%-1,000.000000%> 1000%591.971633%0.812%0.81%0.000%0%-1,000.000000%-1,000.000000%> 1000%32.291223%0.928%0.93%0.000%0%-29.887798%156.247563%156.247563%156%2.784%2.78%7.135%7.13%-39.360008%2.111261%2.111261%2%9.049%9.05%9.240%9.24%-459.059270%-142.895216%-459.059270%459%7.193%7.19%1.287%1.29%54.778025%11.820897%54.778025%55%16.473%16.5%25.497%25.5%6.991288%17.165749%6.991288%7%45.476%45.5%48.655%48.7%-289.404486%-289.404486%289%29.168038%12.297%12.3%3.158%3.16%-16.129962%11.159094%11.159094%11%4.524%4.52%5.029%5.03%-1,000.000000%-90.936306%-1,000.000000%> 1000%0.464%0.46%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 Lafayette County and the Washington Township
Washington Township
Lafayette County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-344.555315%7.980178%4.555315%4.6%214617.823961%12.546957%7.823961%7.8%648188.936170%14.839572%8.936170%8.9%2123525.123153%18.311014%25.123153%25.1%51203
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 Lafayette County at large.
Scope: population of Lafayette County and the Washington Township
40%20%0%20%%ref.65+45-6435-4425-34-42.917129%-42.917129%42.9%4.555%4.56%7.980%7.98%-37.642563%-37.642563%37.6%7.824%7.82%12.547%12.5%-39.781484%-39.781484%39.8%8.936%8.94%14.840%14.8%37.202412%37.202412%37.2%25.123%25.1%18.311%18.3%
% percentage in the Washington Township with a Bachelor's degree
ref percentage in Lafayette 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 Lafayette County and the Washington Township
More Females More Males
Lafayette County
Washington Township
100%0%100%200%FM65+45-6435-4425-34203.825137%63.678364%203.825137%203.8%2.518%2.52%7.650%7.65%-11.147221%-70.848425%-11.147221%11.1%8.287%8.29%7.456%7.46%-84.697987%-162.728954%-84.697987%84.7%10.738%10.7%5.814%5.81%-71.232877%-20.459397%-71.232877%71.2%34.247%34.2%20.000%20.0%
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 Lafayette County and the Washington Township
Washington Township
Lafayette County
$0k$10k$20k$30k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$38,472.000000$41,905.000000$38,472.000000$38.5k1005.824%5.82%$34,063.000000$40,153.000000$34,063.000000$34.1k1579.144%9.14%$31,270.000000$31,722.000000$31,270.000000$31.3k43325.218%25.2%$31,891.000000$28,162.000000$31,891.000000$31.9k80847.059%47.1%$23,958.000000$23,459.000000$23,958.000000$24.0k21912.755%12.8%$32,184.000000$31,950.000000$32,184.000000$32.2k1,717100.000%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 Lafayette County and the Washington Township
Female Male
Lafayette County
Washington Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeH.S. Diploma2No H.S. Diploma2Total$-29,266.000000$-23,365.000000$-29,266.000000$29.3k$29,266.000000$13,234.000000$23,365.000000$19,260.000000$42,500.000000$42.5k204229$-31,000.000000$-19,487.000000$-31,000.000000$31.0k$31,000.000000$1,853.000000$19,487.000000$18,972.000000$32,853.000000$32.9k392416$-23,208.000000$-12,941.000000$-23,208.000000$23.2k$23,208.000000$10,315.000000$12,941.000000$23,587.000000$33,523.000000$33.5k14970$-29,096.000000$-23,763.000000$-29,096.000000$29.1k$29,096.000000$5,453.000000$23,763.000000$17,133.000000$34,549.000000$34.5k862855
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 Lafayette County and the Washington Township
Washington Township
Lafayette County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma392.647059%85.412899%92.647059%92.6%18970.899471%75.257132%70.899471%70.9%26853.422371%69.930174%53.422371%53.4%32089.333333%50.066050%89.333333%89.3%67
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 Lafayette County and the Washington Township
Female Male
Lafayette County
Washington Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1BlackHispanic2Other1-7.784431%-8.249841%-9.443431%-16.034272%16.0%7.784431%9.443431%0.302332%7.784431%7.8%65131-0.000000%-18.867925%0.000000%0.0%0.000000%12.500000%18.867925%1.808767%12.500000%12.5%10-50.000000%-51.000000%-50.000000%50.0%50.000000%50.000000%51.000000%0.020408%100.000000%100.0%44-33.333333%-66.666667%-19.095477%-100.000000%100.0%33.333333%19.095477%15.584657%33.333333%33.3%44
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 Lafayette County and the Washington Township
Female Male
Lafayette County
Washington Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1BlackHispanic2Other1-14.320685%-16.505715%-3.758883%-14.320685%14.3%14.320685%2.206261%16.505715%16.526946%16.5%138117-0.000000%-15.789474%-17.040715%0.000000%0.0%0.000000%0.000000%15.789474%0.000000%0.0%00-0.000000%-0.000000%-2.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%00-0.000000%-7.035176%0.000000%0.0%0.000000%16.666667%7.035176%16.870548%16.666667%16.7%20
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 Washington 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
20.6%24.0%27.3%30.6%33.9%37.2%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
53.3%56.7%60.0%63.4%66.7%70.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.2%9.7%11.2%12.7%14.1%15.6%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.42%0.83%1.25%1.67%2.09%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.22%0.43%0.65%0.87%1.09%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%4.0%5.3%6.5%7.7%9.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.9%11.5%12.9%14.4%15.9%17.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%5.3%6.2%7.1%8.0%9.0%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
13.4%16.2%18.9%21.7%24.5%27.3%

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
34.4%37.0%39.7%42.3%44.9%47.6%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
6.1%6.7%7.2%7.8%8.3%8.9%

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
0.5%1.3%2.0%2.7%3.4%4.2%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.2%2.5%3.7%4.9%6.2%
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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 Washington Township to the 50 most populous county subdivisions in the Kansas City Area and to those entities that contain or substantially overlap with the Washington 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 Washington Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Washington Township
0%5%10%15%20%Count#Kansas CityFishing River TownshipFishing RivBlue TownshipPettis TownshipPettisLexington TownshipLexingtonUnited States of AmericaUnited StatesBonner SpringsBonner SpgsWashington TownshipWashingtonRichmond TownshipRichmondKaw TownshipWashington TownshipWashingtonFishing River TownshipFishing RivMissouriLafayette CountyLafayetteWashington TownshipWashingtonLansingMidwestDe 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%651612.754805%12.754805%12.8%21912.502056%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%454,882455k11.082063%11.082063%11.1%2,50110.634663%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%5,128149.174633%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Washington Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Washington 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 TownshipChouteauLeavenworthRaymore TownshipRaymoreSni-A-Bar TownshipSni-A-BarUnited States of AmericaUnited StatesDe SotoWest North CentralKearney 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 SpgsLafayette CountyLafayetteKansas CityBlue TownshipFort Osage TownshipFort OsageSni-A-Bar TownshipSni-A-BarWashington TownshipWashingtonClay 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%11,41011.4k2231.370611%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%2,3342827.634687%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%9604318.322403%18.322403%18.3%4,13516.167409%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%7964714.967967%14.967967%15.0%25714.814815%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 Washington Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Washington Township
0%5%10%Count#LeawoodPrairie VillagePrairie VlgOverland ParkKaw TownshipSioux TownshipSiouxLenexaRoeland ParkPrairie TownshipPrairieCarroll TownshipCarrollShawneePawnee TownshipPawneeMissionUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityFox TownshipWest 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 SpgsLafayette CountyLafayettePleasant Hill TownshipPleasant HlWashington TownshipWashingtonFort Osage TownshipFort OsageGrand River TownshipGrand RivWashington TownshipWashingtonBlue TownshipGardnerWashington TownshipWashingtonClay 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%235123.336158%3.336158%3.3%7,127,6737.13M3.293084%3.293084%3.3%45,56145.6k3.265687%3.265687%3.3%280132.978981%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%70381.351471%1.351471%1.4%3051.263298%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%114450.873617%0.873617%0.9%150.729076%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#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 Washington Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Washington Township
Female
Male
2x1x0x1x2x3xFM#PaolaPrairie VlgLansingSni-A-BarDe SotoPleasant HlVan BurenFishing RivWashingtonBrookingGardnerFishing RivKansas CityBlue TownshipWashingtonFairmountWest North CentralMidwestKaw TownshipKansas CityUnited StatesOlatheTonganoxieOverland ParkMissouriGallatinLexingtonLafayetteLibertySni-A-BarLeavenworthMt PleasantKearneyPettisGrand RivLenexaPrairieFort OsageChouteauPlatteShoalShawneeRaymoreMerriamMay TownshipClay TownshipRichmondBonner SpgsPawneeSiouxFox TownshipRoeland ParkCarrollMissionW PeculiarWashingtonLeawood-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-1.000000x1.127915x1.127915x1.13x9.647%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-1.000000x1.087272x1.087272x1.09x10.718%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-1.000000x1.038145x1.038145x1.04x10.881%10.9%11.296%11.3%-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%49-2.111286x-2.111286x2.11x1.000000x1.000000x17.285%17.3%8.187%8.19%-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#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Washington Township, selected other county subdivisions in the Kansas City Area, and entities that contain the Washington Township
Female
Male
10x5x0x5x10xFM#PaolaSni-A-BarGrand RivLexingtonBonner SpgsMt PleasantKearneyShoalRichmondLafayetteMerriamGardnerFort OsageLeawoodWashingtonFox TownshipBlue TownshipClay TownshipOverland ParkFishing RivOlathePrairieBrookingChouteauPrairie VlgMidwestMissouriRoeland ParkWest North CentralKansas CityLibertyLenexaUnited StatesKansas CityLeavenworthDe SotoKaw TownshipMay TownshipGallatinShawneeSni-A-BarCarrollPettisWashingtonTonganoxieVan BurenMissionPlatteRaymorePawneeSiouxLansingFishing RivPleasant HlW PeculiarFairmountWashington-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-1.000000x3.392963x3.392963x3.39x0.626%0.63%2.126%2.13%-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-1.000000x1.473714x1.473714x1.47x1.146%1.15%1.688%1.69%29-1.000000x-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.740%1.74%0.000%0%
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 Washington Township to the 50 most populous county subdivisions in Missouri and to those entities that contain or substantially overlap with the Washington Township. The least populous of the compared county subdivisions has a population of 30,106.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Washington Township, selected other county subdivisions in Missouri, and entities that contain the Washington Township
0%5%10%15%Count#St. Francois TownshipSt. FrancoisNormandy TownshipNormandySt. LouisNorwood TownshipNorwoodAirport TownshipAirportBlue TownshipLemay TownshipLemayMidland TownshipMidlandWashington TownshipWashingtonSt. Ferdinand TownshipSt. FerdinandUnited States of AmericaUnited StatesWashington TownshipWashingtonKaw TownshipRock TownshipMissouriLafayette CountyLafayetteSpringfield TownshipSpringfieldWashington TownshipWashingtonUniversity TownshipUnivFlorissant TownshipFlorissantMidwestJoplin 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%27,818,38027.8M12.754805%12.754805%12.8%21912.455744%12.455744%12.5%15,16315.2k1111.722399%11.722399%11.7%2,5101211.167196%11.167196%11.2%454,882455k11.082063%11.082063%11.1%2,50110.767091%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%4,641,8354.64M10.161348%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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Washington Township, selected other county subdivisions in Missouri, and entities that contain the Washington 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. LouisChouteau TownshipChouteauSni-A-Bar TownshipSni-A-BarUnited States of AmericaUnited StatesWest North CentralCullen TownshipCullenMidwestWentzville TownshipWentzvilleNorthwest TownshipNWSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkMissouriGallatin TownshipGallatinSpringfield TownshipSpringfieldFlorissant TownshipFlorissantRock TownshipJoplin TownshipJoplinLemay TownshipLemayFerguson TownshipFergusonWashington TownshipWashingtonWashington TownshipWashingtonBrooking TownshipBrookingAirport TownshipAirportNormandy TownshipNormandyLafayette CountyLafayetteMidland TownshipMidlandSt. Francois TownshipSt. FrancoisBlue TownshipWashington TownshipWashingtonSt. 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%72,14372.1k2632.000224%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%4,186,9564.19M29.343550%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%3,8924518.322403%18.322403%18.3%4,13517.401908%17.401908%17.4%4,0674616.325594%16.325594%16.3%3,5584715.821208%15.821208%15.8%16,95117.0k4814.967967%14.967967%15.0%25714.080741%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#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Washington Township, selected other county subdivisions in Missouri, and entities that contain the Washington 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 GirardeauTesson Ferry TownshipTesson FerryUnited States of AmericaUnited StatesKansas City Metro AreaKansas CityJefferson TownshipJeffersonWest 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 TownshipFergusonLafayette CountyLafayetteCullen TownshipCullenFlorissant TownshipFlorissantJoplin TownshipJoplinNormandy TownshipNormandyAirport TownshipAirportWashington TownshipWashingtonBlue TownshipMidland TownshipMidlandWashington TownshipWashingtonSt. 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%944203.415767%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%1,152222.978981%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%330391.351471%1.351471%1.4%3051.297573%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%215470.873617%0.873617%0.9%150.791977%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#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Washington Township, selected other county subdivisions in Missouri, and entities that contain the Washington Township
Female
Male
3x2x1x0x1xFM#ClaytonLafayetteNorwoodFlorissantCullenJeffersonJoplinGravoisBrookingWentzvilleFergusonMidlandLewis and ClarkSt. FrancoisBlue TownshipWashingtonWest North CentralWashingtonMidwestKaw TownshipKansas CityUnited StatesRock TownshipMissouriGallatinAirportNormandyLafayetteLibertySpringfieldSni-A-BarSt. LouisUnivBonhommeBoonePrairieOakvilleNWSt. FerdinandChouteauCape GirardeauCreve CoeurMeramecConcordColumbiaQueenyLemayHadleyMissouri RivJeffersonMaryland HtsTesson FerrySpanish LkMissouriWildhorseWashingtonChesterfield-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-1.000000x1.129340x1.129340x1.13x12.639%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-1.000000x1.107062x1.107062x1.11x11.143%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-1.000000x1.038145x1.038145x1.04x10.881%10.9%11.296%11.3%-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%49-2.111286x-2.111286x2.11x1.000000x1.000000x17.285%17.3%8.187%8.19%-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#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Washington Township, selected other county subdivisions in Missouri, and entities that contain the Washington Township
Female
Male
10x5x0xFM#AirportLafayetteMidlandMissouri RivLafayetteOakvilleCullenChesterfieldGravoisJoplinClaytonUnivSt. FrancoisMeramecConcordCreve CoeurBonhommeBlue TownshipNormandySpringfieldTesson FerryWashingtonPrairieBrookingChouteauJeffersonSt. FerdinandColumbiaNWMidwestMissouriWest North CentralLibertyMissouriCape GirardeauUnited StatesHadleyKansas CityJeffersonRock TownshipQueenyKaw TownshipMaryland HtsSt. LouisGallatinSpanish LkSni-A-BarWildhorseWentzvilleLemayWashingtonFlorissantBooneLewis and ClarkNorwoodFergusonWashington-1.000000x-1.000000x4.105211x4.105211x4.11x0.431%0.43%1.770%1.77%1-1.000000x-1.000000x3.392963x3.392963x3.39x0.626%0.63%2.126%2.13%-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-1.000000x1.465462x1.465462x1.47x8.768%8.77%12.849%12.8%33-1.000000x-1.000000x1.461492x1.461492x1.46x1.416%1.42%2.069%2.07%34-1.000000x-1.000000x1.429705x1.429705x1.43x4.455%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.740%1.74%0.000%0%
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 Washington Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Washington Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWashington TownshipWashingtonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMissouriMaine TownshipMaineLafayette CountyLafayetteTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux 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%14,37014.4k2212.754805%12.754805%12.8%21912.568464%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%10,96511.0k2811.082063%11.082063%11.1%2,50111.032803%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%9,123349.174633%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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington 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 RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaMissouriSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonLafayette CountyLafayetteToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipWashington TownshipWashingtonDetroit72.810169%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%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%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%21,01221.0k4118.322403%18.322403%18.3%4,13518.048021%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%16,95117.0k4914.967967%14.967967%15.0%25713.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington 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 TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheMissouriCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityLafayette CountyLafayetteDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonWashington TownshipWashington17.877867%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%2,472252.978981%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%1,300431.351471%1.351471%1.4%3051.318660%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%971500.873617%0.873617%0.9%15
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
Female
Male
2x1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipKansas CityDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkMissouriAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalLafayetteWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineWashington-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-1.000000x1.132245x1.132245x1.13x19.779%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-1.000000x1.087272x1.087272x1.09x10.718%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-1.000000x1.038145x1.038145x1.04x10.881%10.9%11.296%11.3%-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%50-2.111286x-2.111286x2.11x1.000000x1.000000x17.285%17.3%8.187%8.19%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Washington Township, selected other county subdivisions in the Midwest, and entities that contain the Washington Township
Female
Male
10x5x0xFM#LafayetteRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestMissouriBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborKansas CityTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonWashington-1.000000x-1.000000x3.392963x3.392963x3.39x0.626%0.63%2.126%2.13%-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-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.740%1.74%0.000%0%
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 Washington Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Washington Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington 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 JoseWashington TownshipWashingtonSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaMissouriLafayette CountyLafayetteSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest 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%153,604154k3512.754805%12.754805%12.8%21912.559735%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%43,65343.7k4111.167196%11.167196%11.2%454,882455k11.082063%11.082063%11.1%2,50110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington 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 CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoMissouriEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxLafayette CountyLafayetteSan BernardinoWashington TownshipWashingtonSan 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%184,237184k2631.198303%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%209,283209k3627.634687%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%173,169173k4718.322403%18.322403%18.3%4,13516.375473%16.375473%16.4%80,59580.6k4814.967967%14.967967%15.0%25714.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington 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 CityTulsaPhoenixLong 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 DallasBronxLafayette CountyLafayetteDetroitWashington TownshipWashington12.461852%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%12,13312.1k313.010825%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%15,06415.1k491.351471%1.351471%1.4%3051.318660%1.318660%1.3%5,693500.873617%0.873617%0.9%15
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington Township
Female
Male
2x1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeKansas CityUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioMissouriSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisLafayetteBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl PasoWashington-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-1.000000x1.127915x1.127915x1.13x9.647%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-1.000000x1.087272x1.087272x1.09x10.718%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-1.000000x1.038145x1.038145x1.04x10.881%10.9%11.296%11.3%-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%50-2.111286x-2.111286x2.11x1.000000x1.000000x17.285%17.3%8.187%8.19%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Washington Township, selected other county subdivisions in the United States, and entities that contain the Washington Township
Female
Male
10x5x0xFM#LafayetteEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestMissouriNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesKansas CitySan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitWashington-1.000000x-1.000000x3.392963x3.392963x3.39x0.626%0.63%2.126%2.13%-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-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.740%1.74%0.000%0%
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:
Lafayette
Metro Area:
Kansas City Area
Cities:
Mayview, Odessa
ZIP Codes:
64037, 64071, 64076, 64097
Unified School Districts:
Lafayette County C-1, Odessa R-VII, Wellington-Napoleon R-IX
Congressional District:
MO-5
State Senate District:
MO-21
State House District:
MO-53
Neighboring Townships:
Clay, Columbus, Davis, Freedom, Hazel Hill, Jackson, Lexington, Sni-A-Bar
Nearby Townships:
Camden, Centerview, Cherry Valley, Crooked River, Dover, Grover, Simpson, Sni-A-Bar, Van Buren, Warrensburg