Educational Attainment in Topeka, Shawnee County, Kansas (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Shawnee County and Topeka
Topeka
Shawnee County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma233.183123%35.908670%33.183123%33.2%28,20328.2k55.784074%55.200327%55.784074%55.8%47,41247.4k11.032803%8.891003%11.032803%11.0%9,377
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 Shawnee County at large.
Scope: population of Shawnee County and Topeka
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-7.590219%-7.590219%-7.6%33.183%33.2%35.909%35.9%1.057506%1.057506%+1.1%55.784%55.8%55.200%55.2%24.089521%24.089521%+24.1%11.033%11.0%8.891%8.89%
% percentage with given level in Topeka
ref. percentage with given level in Shawnee 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 Shawnee County and Topeka
Topeka
Shawnee County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.203643%1.132447%1.203643%1.2%1,0232.029603%2.041242%2.029603%2.0%1,7257.007718%7.465639%7.007718%7.0%5,95616.766284%18.611521%16.766284%16.8%14,25014.3k6.175875%6.657821%6.175875%6.2%5,24924.424652%24.333842%24.424652%24.4%20,75920.8k31.359422%30.866485%31.359422%31.4%26,65326.7k7.179499%5.828305%7.179499%7.2%6,1022.552005%2.087975%2.552005%2.6%2,1691.301299%0.974722%1.301299%1.3%1,106
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 Shawnee County at large.
Scope: population of Shawnee County and Topeka
-20%0%+20%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None6.286883%6.286883%+6.3%1.204%1.20%1.132%1.13%-0.570208%-0.570208%-0.6%2.030%2.03%2.041%2.04%-6.133704%-6.133704%-6.1%7.008%7.01%7.466%7.47%-9.914491%-9.914491%-9.9%16.766%16.8%18.612%18.6%-7.238785%-7.238785%-7.2%6.176%6.18%6.658%6.66%0.373181%0.373181%+0.4%24.425%24.4%24.334%24.3%1.596999%1.596999%+1.6%31.359%31.4%30.866%30.9%23.183307%23.183307%+23.2%7.179%7.18%5.828%5.83%22.223899%22.223899%+22.2%2.552%2.55%2.088%2.09%33.504582%33.504582%+33.5%1.301%1.30%0.975%0.97%
% percentage with given level in Topeka
ref. percentage with given level in Shawnee 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 Shawnee County and Topeka
More Females More Males
Shawnee County
Topeka
0%5%10%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-1.501367%-4.131737%-1.501367%2%33.413%33.4%32.919%32.9%-1.470609%-1.470609%1%0.814689%56.163%56.2%55.349%55.3%12.550732%11.929668%12.550732%13%10.423%10.4%11.732%11.7%
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 Shawnee County and Topeka
More Females More Males
Shawnee County
Topeka
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None29.199714%48.488695%29.199714%29%1.060%1.06%1.369%1.37%60.809747%73.797309%60.809747%61%1.582%1.58%2.543%2.54%-25.240451%-30.541255%-25.240451%25%7.734%7.73%6.175%6.18%-0.521557%-2.260322%-0.521557%1%16.807%16.8%16.720%16.7%-1.955402%-10.056939%-1.955402%2%6.232%6.23%6.112%6.11%-13.906935%-10.361692%-13.906935%14%25.898%25.9%22.736%22.7%7.757563%9.615048%7.757563%8%30.266%30.3%32.614%32.6%15.035211%15.013159%15.035211%15%6.710%6.71%7.718%7.72%-11.910995%-13.375563%-11.910995%12%2.685%2.69%2.399%2.40%56.888575%58.705417%56.888575%57%1.029%1.03%1.614%1.61%
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 Shawnee County and Topeka
Topeka
Shawnee County
0%5%10%15%20%B.X.Total65+45-6435-4425-3413.251148%13.918300%13.251148%13.3%2,65520,03620.0k16.109196%18.091472%16.109196%16.1%5,18732,19932.2k18.875392%22.635839%18.875392%18.9%2,76614,65414.7k20.118212%21.953039%20.118212%20.1%3,64218,10318.1k
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 Shawnee County at large.
Scope: population of Shawnee County and Topeka
15%10%5%0%%ref.65+45-6435-4425-34-4.793347%-4.793347%4.8%13.251%13.3%13.918%13.9%-10.956964%-10.956964%11.0%16.109%16.1%18.091%18.1%-16.612801%-16.612801%16.6%18.875%18.9%22.636%22.6%-8.357963%-8.357963%8.4%20.118%20.1%21.953%22.0%
% percentage in Topeka with a Bachelor's degree
ref percentage in Shawnee 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 Shawnee County and Topeka
More Females More Males
Shawnee County
Topeka
40%20%0%20%40%FM65+45-6435-4425-3428.902522%40.442198%28.902522%28.9%11.841%11.8%15.263%15.3%14.444926%3.662981%14.444926%14.4%15.078%15.1%17.256%17.3%-29.686063%-18.063839%-29.686063%29.7%21.242%21.2%16.379%16.4%-30.672571%-40.683345%-30.672571%30.7%22.763%22.8%17.420%17.4%
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 Shawnee County and Topeka
Topeka
Shawnee County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$53,787.000000$55,918.000000$53,787.000000$53.8k8,70410.241%10.2%$43,328.000000$46,057.000000$43,328.000000$43.3k14,25014.3k16.766%16.8%$31,012.000000$33,224.000000$31,012.000000$31.0k26,00826.0k30.601%30.6%$26,073.000000$29,191.000000$26,073.000000$26.1k26,65326.7k31.359%31.4%$18,537.000000$19,249.000000$18,537.000000$18.5k9,37711.033%11.0%$32,295.000000$36,177.000000$32,295.000000$32.3k84,99285.0k100.000%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 Shawnee County and Topeka
Female Male
Shawnee County
Topeka
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-49,058.000000$-50,470.000000$-49,058.000000$49.1k$49,058.000000$11,068.000000$50,470.000000$14,972.000000$60,126.000000$60.1k4,7103,994$-38,674.000000$-40,043.000000$-38,674.000000$38.7k$38,674.000000$12,453.000000$40,043.000000$16,767.000000$51,127.000000$51.1k7,6306,620$-28,582.000000$-30,083.000000$-28,582.000000$28.6k$28,582.000000$6,327.000000$30,083.000000$9,061.000000$34,909.000000$34.9k14,58614.6k11,42211.4k$-22,790.000000$-25,203.000000$-22,790.000000$22.8k$22,790.000000$7,578.000000$25,203.000000$9,275.000000$30,368.000000$30.4k13,74013.7k12,91312.9k$-15,353.000000$-15,353.000000$-15,353.000000$15.4k$15,353.000000$6,125.000000$15,353.000000$7,335.000000$21,478.000000$21.5k4,7324,645$-30,163.000000$-31,777.000000$-30,163.000000$30.2k$30,163.000000$6,131.000000$31,777.000000$9,667.000000$36,294.000000$36.3k45,39845.4k39,59439.6k
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Shawnee County and Topeka
Topeka
Shawnee County
0%10%20%30%40%50%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma339.814815%52.127660%39.814815%39.8%4360.185185%40.957447%60.185185%60.2%650.000000%0.000000%0.0%6.914894%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Shawnee County and Topeka
Topeka
Shawnee County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.933319%86.134019%84.933319%84.9%15,41215.4k74.016914%75.178422%74.016914%74.0%15,49115.5k65.045803%68.568066%65.045803%65.0%12,21312.2k52.315271%52.580727%52.315271%52.3%3,717
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Shawnee County and Topeka
Female Male
Shawnee County
Topeka
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-6.815633%-5.468353%-6.815633%6.8%6.815633%1.379874%5.468353%1.156273%8.195506%8.2%2,4332,370-15.730337%-15.558602%-15.730337%15.7%15.730337%1.247730%15.558602%0.420523%16.978067%17.0%627658-6.775701%-8.193435%-10.788382%-5.961618%-14.969136%15.0%6.775701%10.788382%6.775701%6.8%2997-30.563936%-1.282900%-27.709163%-1.346237%-31.846836%31.8%30.563936%27.709163%30.563936%30.6%1,3171,364-19.343326%-0.897723%-16.785004%-1.023638%-20.241049%20.2%19.343326%16.785004%19.343326%19.3%542571
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Shawnee County and Topeka
Female Male
Shawnee County
Topeka
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-30.517931%-32.361095%-30.517931%30.5%30.517931%0.266588%32.361095%0.011955%30.784518%30.8%9,13910,61210.6k-8.665042%-6.802326%-9.666998%-6.759778%-15.467368%15.5%8.665042%9.666998%8.665042%8.7%320647-58.950617%-55.000000%-58.950617%59.0%58.950617%13.012000%55.000000%13.879668%71.962617%72.0%308382-10.025528%-0.737956%-9.900398%-3.411678%-10.763484%10.8%10.025528%9.900398%10.025528%10.0%432461-11.946118%-14.320988%-11.946118%11.9%11.946118%7.147386%14.320988%3.486453%19.093505%19.1%535337
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Neighborhood in Topeka

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

Percentage of the population 25 years and older with given highest level of educational attainment
11%22%32%41%51%62%

Coarse: High School Diploma Educational Attainment by Neighborhood#17

Percentage of the population 25 years and older with given highest level of educational attainment
34%41%49%56%63%71%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2%7%13%18%23%29%

Detailed: Doctorate Degree Educational Attainment by Neighborhood#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%2.0%3.0%4.1%5.1%

Detailed: Professional Degree Educational Attainment by Neighborhood#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%1.3%2.5%3.7%4.9%6.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.8%3.1%5.3%7.6%9.8%12.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.4%10.4%15.3%20.3%25.2%30.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.5%4.6%6.5%8.5%10.5%12.6%

Detailed: Some College Educational Attainment by Neighborhood#24

Percentage of the population 25 years and older with given highest level of educational attainment
16.2%19.2%22.3%25.3%28.3%31.4%

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

Percentage of the population 25 years and older with given highest level of educational attainment
17%23%29%34%40%46%

Detailed: Some High School Educational Attainment by Neighborhood#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.2%5.7%9.2%12.7%16.2%19.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.4%2.8%4.2%5.6%7.0%

Detailed: None Educational Attainment by Neighborhood#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.6%2.4%3.2%4.0%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in Topeka

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

Percentage of the population 25 years and older with given highest level of educational attainment
3%15%27%38%50%62%

Coarse: High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
34%43%52%60%69%78%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1%9%17%25%32%40%

Detailed: Doctorate Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.0%2.0%3.0%4.1%5.1%

Detailed: Professional Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.2%2.5%3.7%4.9%6.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.3%3.2%6.2%9.1%12.0%15.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2%8%15%21%27%34%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.2%3.6%6.1%8.5%10.9%13.4%

Detailed: Some College Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
7.5%12.4%17.3%22.1%27.0%31.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
14%22%30%37%45%53%

Detailed: Some High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
1.2%5.9%10.6%15.2%19.9%24.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.0%6.1%9.1%12.1%15.2%

Detailed: None Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.2%2.4%3.5%4.7%6.0%
Road Data ©OpenStreetMap

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Educational Attainment by Neighborhood in Topeka

There are 25 neighborhoods that are fully or partially contained within Topeka (24 fully and 1 partially). This section compares all 25 of those to each other, Topeka, and other entities that contain or substantially overlap with Topeka.

No H.S. Diploma by Neighborhood#42

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Topeka, selected neighborhoods in Topeka, and entities that contain Topeka
0%10%20%Count#Central Highland Park NeighborhoodCntrl Highland PkWard Meade NeighborhoodWard MeadeMonroe NeighborhoodMonroeDowntown NeighborhoodDowntownCentral Park NeighborhoodCentral ParkChesney Park NeighborhoodChesney ParkOakland NeighborhoodOaklandHistoric Holiday Park NeighborhoodHist Holiday PkHighland Crest NeighborhoodHighland CrstOldtown NeighborhoodOldtownTennessee Town NeighborhoodTennessee TownEast End NeighborhoodEast EndUnited States of AmericaUnited StatesTopekaTopekaElmhurst NeighborhoodElmhurstNorton NeighborhoodNortonMidwestKenwood NeighborhoodKenwoodGreater Aubrundale NeighborhoodGreater AubrundalePotwin NeighborhoodPotwinKansasQuinton Heights NeighborhoodQuinton HtsJefferson Square NeighborhoodJefferson SqEllenwand NeighborhoodEllenwandMcAlister Parkway NeighborhoodMcAlister PkwyWest North CentralShawnee CountyShawneeTopeka Metro AreaTopeka AreaRandolph NeighborhoodRandolphLikins Foster NeighborhoodLikins FosterWestboro NeighborhoodWestboroCollege Hill NeighborhoodCollege Hill28.528017%28.528017%28.5%1,012123.509624%23.509624%23.5%367221.891760%21.891760%21.9%168321.891760%21.891760%21.9%160418.836843%18.836843%18.8%263264518.528736%18.528736%18.5%137138618.052751%18.052751%18.1%717716.988684%16.988684%17.0%111112816.520097%16.520097%16.5%535916.188235%16.188235%16.2%2612621016.167963%16.167963%16.2%70711113.629963%13.629963%13.6%761213.020590%13.020590%13.0%27,818,38027.8M11.032803%11.032803%11.0%9,37711.032803%11.032803%11.0%9,37710.631399%10.631399%10.6%56571310.302564%10.302564%10.3%56571410.244520%10.244520%10.2%4,641,8354.64M9.948718%9.948718%9.9%58169.948718%9.948718%9.9%118159.948718%9.948718%9.9%1011179.691216%9.691216%9.7%182,049182k9.589041%9.589041%9.6%49189.589041%9.589041%9.6%48199.412861%9.412861%9.4%1920209.209302%9.209302%9.2%49219.174633%9.174633%9.2%1,278,0511.28M8.891003%8.891003%8.9%10,65410.7k8.494979%8.494979%8.5%13,40113.4k7.616635%7.616635%7.6%53226.936416%6.936416%6.9%5253234.630843%4.630843%4.6%41242.225313%2.225313%2.2%171825
Count number of people in category
# rank of neighborhood out of 25 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Neighborhood#43

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Topeka, selected neighborhoods in Topeka, and entities that contain Topeka
0%10%20%30%40%50%Count#Westboro NeighborhoodWestboroEllenwand NeighborhoodEllenwandKenwood NeighborhoodKenwoodPotwin NeighborhoodPotwinGreater Aubrundale NeighborhoodGreater AubrundaleKansasCollege Hill NeighborhoodCollege HillUnited States of AmericaUnited StatesWest North CentralRandolph NeighborhoodRandolphShawnee CountyShawneeMidwestNorton NeighborhoodNortonElmhurst NeighborhoodElmhurstMcAlister Parkway NeighborhoodMcAlister PkwyTopeka Metro AreaTopeka AreaTopekaTopekaJefferson Square NeighborhoodJefferson SqQuinton Heights NeighborhoodQuinton HtsLikins Foster NeighborhoodLikins FosterOldtown NeighborhoodOldtownEast End NeighborhoodEast EndDowntown NeighborhoodDowntownMonroe NeighborhoodMonroeTennessee Town NeighborhoodTennessee TownHistoric Holiday Park NeighborhoodHist Holiday PkHighland Crest NeighborhoodHighland CrstCentral Park NeighborhoodCentral ParkWard Meade NeighborhoodWard MeadeChesney Park NeighborhoodChesney ParkCentral Highland Park NeighborhoodCntrl Highland PkOakland NeighborhoodOakland52.774137%52.774137%52.8%472135.601118%35.601118%35.6%7475232.974359%32.974359%33.0%193532.974359%32.974359%33.0%36332.974359%32.974359%33.0%391431.610465%31.610465%31.6%593,801594k30.968938%30.968938%31.0%248630.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.368831%29.368831%29.4%206729.250849%29.250849%29.3%35,05135.1k28.952816%28.952816%29.0%13,118,64213.1M28.571665%28.571665%28.6%157828.474069%28.474069%28.5%151152927.906977%27.906977%27.9%1491501027.207896%27.207896%27.2%42,92142.9k27.007248%27.007248%27.0%22,95423.0k27.007248%27.007248%27.0%22,95423.0k21.395956%21.395956%21.4%1071221.395956%21.395956%21.4%1091119.219653%19.219653%19.2%1461471316.638391%16.638391%16.6%2691416.474233%16.474233%16.5%921515.797172%15.797172%15.8%1151161715.797172%15.797172%15.8%1211613.561729%13.561729%13.6%591813.207905%13.207905%13.2%86871912.475019%12.475019%12.5%4042012.306117%12.306117%12.3%1722112.303309%12.303309%12.3%1922211.954023%11.954023%12.0%8889238.664442%8.664442%8.7%307248.471384%8.471384%8.5%33633725
Count number of people in category
# rank of neighborhood out of 25 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Neighborhood#44

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Topeka, selected neighborhoods in Topeka, and entities that contain Topeka
0%2%4%6%8%10%Count#Westboro NeighborhoodWestboroEllenwand NeighborhoodEllenwandCollege Hill NeighborhoodCollege HillKenwood NeighborhoodKenwoodGreater Aubrundale NeighborhoodGreater AubrundalePotwin NeighborhoodPotwinRandolph NeighborhoodRandolphUnited States of AmericaUnited StatesNorton NeighborhoodNortonTopekaTopekaElmhurst NeighborhoodElmhurstShawnee CountyShawneeKansasWest North CentralMidwestTopeka Metro AreaTopeka AreaTennessee Town NeighborhoodTennessee TownOldtown NeighborhoodOldtownJefferson Square NeighborhoodJefferson SqQuinton Heights NeighborhoodQuinton HtsHistoric Holiday Park NeighborhoodHist Holiday PkMcAlister Parkway NeighborhoodMcAlister PkwyEast End NeighborhoodEast EndChesney Park NeighborhoodChesney ParkCentral Park NeighborhoodCentral ParkCentral Highland Park NeighborhoodCntrl Highland PkDowntown NeighborhoodDowntownMonroe NeighborhoodMonroeLikins Foster NeighborhoodLikins FosterOakland NeighborhoodOaklandHighland Crest NeighborhoodHighland CrstWard Meade NeighborhoodWard Meade10.572302%10.572302%10.6%949518.154706%8.154706%8.2%1724.126101%4.126101%4.1%3333.692308%3.692308%3.7%212253.692308%3.692308%3.7%434443.692308%3.692308%3.7%463.552865%3.552865%3.6%242573.336158%3.336158%3.3%7,127,6737.13M3.267282%3.267282%3.3%171883.233245%3.233245%3.2%2,7483.233245%3.233245%3.2%2,7483.232319%3.232319%3.2%1793.173689%3.173689%3.2%3,8033.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.744181%2.744181%2.7%4,3292.491885%2.491885%2.5%1011102.421443%2.421443%2.4%39112.217873%2.217873%2.2%11122.217873%2.217873%2.2%11132.110287%2.110287%2.1%1314141.860465%1.860465%1.9%910151.548859%1.548859%1.5%89161.287356%1.287356%1.3%910171.231950%1.231950%1.2%17181.174696%1.174696%1.2%4142190.682594%0.682594%0.7%45200.682594%0.682594%0.7%5210.650289%0.650289%0.7%45220.603904%0.603904%0.6%2324230.409553%0.409553%0.4%13240.187497%0.187497%0.2%2325
Count number of people in category
# rank of neighborhood out of 25 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Neighborhood#45

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Topeka, selected neighborhoods in Topeka, and entities that contain Topeka
Female
Male
2x0x2x4xFM#College HillEllenwandCntrl Highland PkChesney ParkOaklandCentral ParkHist Holiday PkTennessee TownWest North CentralKansasMidwestTopekaTopekaRandolphTopeka AreaShawneeUnited StatesOldtownHighland CrstNortonElmhurstMonroeDowntownEast EndLikins FosterKenwoodGreater AubrundalePotwinWard MeadeJefferson SqQuinton HtsWestboroMcAlister Pkwy-1.000000x-1.000000x4.410995x4.410995x4.41x0.791%0.79%3.490%3.49%1-1.000000x-1.000000x1.606846x1.606846x1.61x7.336%7.34%11.788%11.8%2-1.000000x-1.000000x1.497283x1.497283x1.50x23.230%23.2%34.782%34.8%3-1.000000x-1.000000x1.376903x1.376903x1.38x15.408%15.4%21.215%21.2%4-1.000000x-1.000000x1.319486x1.319486x1.32x15.563%15.6%20.535%20.5%5-1.000000x-1.000000x1.319070x1.319070x1.32x16.057%16.1%21.180%21.2%6-1.000000x-1.000000x1.270527x1.270527x1.27x14.896%14.9%18.926%18.9%7-1.000000x-1.000000x1.244779x1.244779x1.24x14.378%14.4%17.897%17.9%8-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%-1.000000x-1.000000x1.124944x1.124944x1.12x7.170%7.17%8.066%8.07%9-1.000000x-1.000000x1.122508x1.122508x1.12x8.025%8.02%9.008%9.01%-1.000000x-1.000000x1.119297x1.119297x1.12x8.416%8.42%9.420%9.42%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.103380x1.103380x1.10x15.391%15.4%16.982%17.0%10-1.000000x-1.000000x1.092132x1.092132x1.09x15.909%15.9%17.375%17.4%11-1.000000x-1.000000x1.052189x1.052189x1.05x10.049%10.0%10.574%10.6%12-1.000000x-1.000000x1.048400x1.048400x1.05x10.390%10.4%10.892%10.9%13-1.120277x-1.120277x1.12x1.000000x1.000000x23.381%23.4%20.871%20.9%14-1.120277x-1.120277x1.12x1.000000x1.000000x23.381%23.4%20.871%20.9%15-1.158228x-1.158228x1.16x1.000000x1.000000x14.330%14.3%12.372%12.4%16-1.191865x-1.191865x1.19x1.000000x1.000000x7.401%7.40%6.209%6.21%17-1.231943x-1.231943x1.23x1.000000x1.000000x10.936%10.9%8.877%8.88%19-1.231943x-1.231943x1.23x1.000000x1.000000x10.936%10.9%8.877%8.88%18-1.231943x-1.231943x1.23x1.000000x1.000000x10.936%10.9%8.877%8.88%20-1.282169x-1.282169x1.28x1.000000x1.000000x26.632%26.6%20.771%20.8%21-1.416780x-1.416780x1.42x1.000000x1.000000x11.084%11.1%7.824%7.82%22-1.416780x-1.416780x1.42x1.000000x1.000000x11.084%11.1%7.824%7.82%23-1.755889x-1.755889x1.76x1.000000x1.000000x5.919%5.92%3.371%3.37%24-2.326799x-2.326799x2.33x1.000000x1.000000x12.233%12.2%5.258%5.26%25
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 25 by male-to-female sex ratio

Over-Education Sex Ratio by Neighborhood#46

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Topeka, selected neighborhoods in Topeka, and entities that contain Topeka
Female
Male
10x5x0x5x10xFM#Cntrl Highland PkLikins FosterEast EndJefferson SqQuinton HtsKenwoodGreater AubrundalePotwinEllenwandShawneeMidwestWest North CentralKansasWestboroUnited StatesTopeka AreaTopekaTopekaMcAlister PkwyWard MeadeChesney ParkCentral ParkCollege HillRandolphMonroeDowntownNortonElmhurstOaklandHist Holiday PkHighland CrstOldtownTennessee Town-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.561%2.56%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.668%1.67%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.334%4.33%3-1.000000x-1.000000x4.553952x4.553952x4.55x0.843%0.84%3.841%3.84%4-1.000000x-1.000000x4.553952x4.553952x4.55x0.843%0.84%3.841%3.84%5-1.000000x-1.000000x3.028145x3.028145x3.03x1.872%1.87%5.668%5.67%6-1.000000x-1.000000x3.028145x3.028145x3.03x1.872%1.87%5.668%5.67%7-1.000000x-1.000000x3.028145x3.028145x3.03x1.872%1.87%5.668%5.67%8-1.000000x-1.000000x1.736357x1.736357x1.74x6.070%6.07%10.539%10.5%9-1.000000x-1.000000x1.642202x1.642202x1.64x2.435%2.43%3.998%4.00%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.567532x1.567532x1.57x8.216%8.22%12.878%12.9%10-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.508702x1.508702x1.51x2.207%2.21%3.330%3.33%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%-1.000000x-1.000000x1.069255x1.069255x1.07x1.806%1.81%1.931%1.93%11-1.001005x-1.001005x1.00x1.000000x1.000000x0.188%0.19%0.187%0.19%12-1.007091x-1.007091x1.01x1.000000x1.000000x1.292%1.29%1.283%1.28%13-1.066182x-1.066182x1.07x1.000000x1.000000x1.275%1.27%1.196%1.20%14-1.748877x-1.748877x1.75x1.000000x1.000000x5.341%5.34%3.054%3.05%15-2.259441x-2.259441x2.26x1.000000x1.000000x4.922%4.92%2.178%2.18%16-2.626619x-2.626619x2.63x1.000000x1.000000x1.079%1.08%0.411%0.41%17-2.626619x-2.626619x2.63x1.000000x1.000000x1.079%1.08%0.411%0.41%18-2.786830x-2.786830x2.79x1.000000x1.000000x4.732%4.73%1.698%1.70%19-2.877007x-2.877007x2.88x1.000000x1.000000x4.710%4.71%1.637%1.64%20-2.996370x-2.996370x3.00x1.000000x1.000000x0.906%0.91%0.302%0.30%21-7.554562x-7.554562x7.55x1.000000x1.000000x3.840%3.84%0.508%0.51%22-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.671%0.67%0.044%0.04%23-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.591%4.59%0.264%0.26%24-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.863%4.86%0.202%0.20%25
F percentage of females in category
M percentage of males in category
# rank of neighborhood out of 25 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Topeka Area

There are 71 county subdivisions in the Topeka Area. This section compares Topeka to the 50 most populous county subdivisions in the Topeka Area and to those entities that contain or substantially overlap with Topeka. The least populous of the compared county subdivisions has a population of 431.

No H.S. Diploma by County Subdivision#47

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Topeka, selected other county subdivisions in the Topeka Area, and entities that contain Topeka
0%5%10%15%20%Count#Agency TownshipAgencyMelvern TownshipMelvernScranton TownshipScrantonUnited States of AmericaUnited StatesWilmington TownshipWilmingtonOzawkie TownshipOzawkiePlumb TownshipPlumbOskaloosa TownshipOskaloosaRossville TownshipRossvilleSarcoxie TownshipSarcoxieTopekaTopekaMidwestKansasOsage CityTopeka TownshipTopekaElk TownshipNorton TownshipNortonWest North CentralDelaware TownshipDelawareBurlingame TownshipBurlingameShawnee CountyShawneeJefferson TownshipJeffersonTopeka Metro AreaTopeka AreaGarfield TownshipGarfieldUnion TownshipUnionRidgeway TownshipRidgewayWilliamsport TownshipWilliamsportLincoln TownshipLincolnNewbury TownshipNewburyRural TownshipRuralKentucky TownshipKentuckyValley Brook TownshipVly BrkJunction TownshipJctHoltonJefferson TownshipJeffersonGrove TownshipGrvWabaunsee TownshipWabaunseeFairfax TownshipFairfaxAlma TownshipTecumseh TownshipTecumsehDover TownshipDoverRock Creek TownshipRock CrkAuburn TownshipAuburnFranklin TownshipFranklinCedar TownshipCedarMenoken TownshipMenokenKaw TownshipMission TownshipMissionFairview TownshipFairviewDouglas TownshipDouglasSoldier TownshipSoldierSilver Lake TownshipSilver LkMonmouth TownshipMonmouthMaple Hill TownshipMaple HlLiberty TownshipLibertyMission Creek TownshipMission Crk20.317460%20.317460%20.3%64117.217391%17.217391%17.2%99213.545347%13.545347%13.5%115313.020590%13.020590%13.0%27,818,38027.8M12.757974%12.757974%12.8%68412.704599%12.704599%12.7%163512.690355%12.690355%12.7%50611.989796%11.989796%12.0%188711.495116%11.495116%11.5%153811.212516%11.212516%11.2%86911.032803%11.032803%11.0%9,37711.032803%11.032803%11.0%9,3771010.244520%10.244520%10.2%4,641,8354.64M9.691216%9.691216%9.7%182,049182k9.649568%9.649568%9.6%190119.615385%9.615385%9.6%40129.241706%9.241706%9.2%117139.176030%9.176030%9.2%49149.174633%9.174633%9.2%1,278,0511.28M9.118087%9.118087%9.1%122158.973173%8.973173%9.0%97168.891003%8.891003%8.9%10,65410.7k8.707865%8.707865%8.7%31178.494979%8.494979%8.5%13,40113.4k8.463252%8.463252%8.5%38188.291874%8.291874%8.3%100197.768269%7.768269%7.8%118207.457935%7.457935%7.5%164217.451923%7.451923%7.5%62227.327586%7.327586%7.3%51237.017544%7.017544%7.0%28246.698113%6.698113%6.7%71256.468172%6.468172%6.5%63266.445672%6.445672%6.4%70276.366392%6.366392%6.4%147286.294416%6.294416%6.3%62295.993691%5.993691%6.0%19305.666667%5.666667%5.7%17315.361930%5.361930%5.4%20324.895961%4.895961%4.9%40334.468530%4.468530%4.5%235344.359198%4.359198%4.4%50354.285002%4.285002%4.3%86363.880219%3.880219%3.9%92373.294893%3.294893%3.3%20383.266596%3.266596%3.3%31393.196803%3.196803%3.2%32402.985075%2.985075%3.0%26412.942916%2.942916%2.9%199422.702703%2.702703%2.7%31432.679128%2.679128%2.7%43442.351807%2.351807%2.4%244451.839588%1.839588%1.8%25461.043478%1.043478%1.0%24470.616523%0.616523%0.6%5480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#48

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Topeka, selected other county subdivisions in the Topeka Area, and entities that contain Topeka
0%10%20%30%40%50%Count#Topeka TownshipTopekaMission TownshipMissionWabaunsee TownshipWabaunseeMission Creek TownshipMission CrkDover TownshipDoverGrove TownshipGrvMonmouth TownshipMonmouthSoldier TownshipSoldierFairview TownshipFairviewKansasAuburn TownshipAuburnRural TownshipRuralUnited States of AmericaUnited StatesSilver Lake TownshipSilver LkWest North CentralValley Brook TownshipVly BrkMenoken TownshipMenokenTecumseh TownshipTecumsehShawnee CountyShawneeMidwestSarcoxie TownshipSarcoxieTopeka Metro AreaTopeka AreaTopekaTopekaHoltonJefferson TownshipJeffersonLiberty TownshipLibertyOzawkie TownshipOzawkieJunction TownshipJctPlumb TownshipPlumbRossville TownshipRossvilleAlma TownshipOsage CityLincoln TownshipLincolnFranklin TownshipFranklinFairfax TownshipFairfaxWilliamsport TownshipWilliamsportDouglas TownshipDouglasJefferson TownshipJeffersonOskaloosa TownshipOskaloosaKaw TownshipMaple Hill TownshipMaple HlElk TownshipRidgeway TownshipRidgewayMelvern TownshipMelvernDelaware TownshipDelawareKentucky TownshipKentuckyBurlingame TownshipBurlingameRock Creek TownshipRock CrkNorton TownshipNortonWilmington TownshipWilmingtonUnion TownshipUnionNewbury TownshipNewburyGarfield TownshipGarfieldScranton TownshipScrantonCedar TownshipCedarAgency TownshipAgency50.000000%50.000000%50.0%208149.556344%49.556344%49.6%3,351249.333333%49.333333%49.3%148344.245524%44.245524%44.2%173440.889276%40.889276%40.9%469537.223975%37.223975%37.2%118633.739130%33.739130%33.7%776732.771084%32.771084%32.8%3,400832.432432%32.432432%32.4%372931.610465%31.610465%31.6%593,801594k30.366934%30.366934%30.4%7201030.325815%30.325815%30.3%1211130.315023%30.315023%30.3%64,767,78764.8M30.242826%30.242826%30.2%4111230.056536%30.056536%30.1%4,186,9564.19M29.876797%29.876797%29.9%2911329.670330%29.670330%29.7%2971429.549344%29.549344%29.5%1,5541529.250849%29.250849%29.3%35,05135.1k28.952816%28.952816%29.0%13,118,64213.1M27.379400%27.379400%27.4%2101627.207896%27.207896%27.2%42,92142.9k27.007248%27.007248%27.0%22,95423.0k27.007248%27.007248%27.0%22,95423.0k1725.465570%25.465570%25.5%5881825.280899%25.280899%25.3%901925.000000%25.000000%25.0%912024.785659%24.785659%24.8%3182124.217311%24.217311%24.2%2632223.857868%23.857868%23.9%942323.365890%23.365890%23.4%3112423.011016%23.011016%23.0%1882522.905028%22.905028%22.9%4512622.836538%22.836538%22.8%1902722.734761%22.734761%22.7%1382822.252011%22.252011%22.3%832921.919054%21.919054%21.9%4823021.121495%21.121495%21.1%3393120.710660%20.710660%20.7%2043220.535714%20.535714%20.5%3223319.977038%19.977038%20.0%1743418.618989%18.618989%18.6%1513518.325434%18.325434%18.3%2323617.577354%17.577354%17.6%2673717.217391%17.217391%17.2%993816.965620%16.965620%17.0%2273916.792453%16.792453%16.8%1784016.743756%16.743756%16.7%1814116.143498%16.143498%16.1%3244215.355805%15.355805%15.4%824315.009381%15.009381%15.0%804414.593698%14.593698%14.6%1764514.367816%14.367816%14.4%1004613.363029%13.363029%13.4%604712.014134%12.014134%12.0%1024810.432034%10.432034%10.4%99498.253968%8.253968%8.3%2650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#49

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Topeka, selected other county subdivisions in the Topeka Area, and entities that contain Topeka
0%2%4%6%Count#Mission TownshipMissionJunction TownshipJctTopeka TownshipTopekaLiberty TownshipLibertySarcoxie TownshipSarcoxieSilver Lake TownshipSilver LkOskaloosa TownshipOskaloosaUnited States of AmericaUnited StatesRural TownshipRuralTopekaTopekaShawnee CountyShawneeKansasMonmouth TownshipMonmouthWabaunsee TownshipWabaunseeWest North CentralDover TownshipDoverFairfax TownshipFairfaxMidwestTopeka Metro AreaTopeka AreaPlumb TownshipPlumbOzawkie TownshipOzawkieMaple Hill TownshipMaple HlKentucky TownshipKentuckyAuburn TownshipAuburnSoldier TownshipSoldierMission Creek TownshipMission CrkOsage CityFairview TownshipFairviewTecumseh TownshipTecumsehDouglas TownshipDouglasLincoln TownshipLincolnFranklin TownshipFranklinMenoken TownshipMenokenRossville TownshipRossvilleDelaware TownshipDelawareNewbury TownshipNewburyElk TownshipValley Brook TownshipVly BrkMelvern TownshipMelvernAlma TownshipWilliamsport TownshipWilliamsportWilmington TownshipWilmingtonRidgeway TownshipRidgewayJefferson TownshipJeffersonGarfield TownshipGarfieldUnion TownshipUnionHoltonRock Creek TownshipRock CrkBurlingame TownshipBurlingameCedar TownshipCedarScranton TownshipScrantonKaw TownshipNorton TownshipNortonGrove TownshipGrvJefferson TownshipJeffersonAgency TownshipAgency7.068915%7.068915%7.1%47814.696133%4.696133%4.7%5124.567308%4.567308%4.6%1934.395604%4.395604%4.4%1644.302477%4.302477%4.3%3353.752759%3.752759%3.8%5163.635204%3.635204%3.6%5773.336158%3.336158%3.3%7,127,6737.13M3.258145%3.258145%3.3%1383.233245%3.233245%3.2%2,7483.233245%3.233245%3.2%2,74893.173689%3.173689%3.2%3,8033.019438%3.019438%3.0%56,72056.7k3.000000%3.000000%3.0%69103.000000%3.000000%3.0%9112.978981%2.978981%3.0%414,980415k2.964255%2.964255%3.0%34122.949062%2.949062%2.9%11132.893416%2.893416%2.9%1,311,0191.31M2.744181%2.744181%2.7%4,3292.538071%2.538071%2.5%10142.416212%2.416212%2.4%31152.219482%2.219482%2.2%18162.169811%2.169811%2.2%23172.108815%2.108815%2.1%50182.053012%2.053012%2.1%213192.046036%2.046036%2.0%8201.980701%1.980701%2.0%39211.918047%1.918047%1.9%22221.768397%1.768397%1.8%93231.619938%1.619938%1.6%26241.322115%1.322115%1.3%11251.317957%1.317957%1.3%8261.298701%1.298701%1.3%13271.277235%1.277235%1.3%17281.195815%1.195815%1.2%16291.149425%1.149425%1.1%8300.947867%0.947867%0.9%12310.924025%0.924025%0.9%9320.869565%0.869565%0.9%5330.856793%0.856793%0.9%7340.818554%0.818554%0.8%18350.750469%0.750469%0.8%4360.724161%0.724161%0.7%11370.507614%0.507614%0.5%5380.445434%0.445434%0.4%2390.414594%0.414594%0.4%5400.389779%0.389779%0.4%9410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#50

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Topeka, selected other county subdivisions in the Topeka Area, and entities that contain Topeka
Female
Male
10x5x0x5x10xFM#Kaw TownshipGrvSoldierPlumbJeffersonJctKentuckySarcoxieOskaloosaGarfieldMonmouthNewburyWilmingtonWilliamsportOsage CitySilver LkMaple HlRuralScrantonRidgewayBurlingameWest North CentralKansasMidwestMissionTopekaTopekaTopeka AreaShawneeUnited StatesAlma TownshipCedarFairviewAgencyJeffersonDouglasOzawkieMelvernNortonRock CrkDelawareLincolnElk TownshipTecumsehRossvilleTopekaHoltonMenokenWabaunseeUnionFranklinDoverVly BrkAuburnFairfax-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.205%6.21%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.446%11.4%2-1.000000x-1.000000x6.409381x6.409381x6.41x0.652%0.65%4.177%4.18%3-1.000000x-1.000000x5.606103x5.606103x5.61x3.723%3.72%20.874%20.9%4-1.000000x-1.000000x5.325377x5.325377x5.33x2.548%2.55%13.568%13.6%5-1.000000x-1.000000x4.749053x4.749053x4.75x2.157%2.16%10.243%10.2%6-1.000000x-1.000000x2.966327x2.966327x2.97x3.509%3.51%10.408%10.4%7-1.000000x-1.000000x2.101355x2.101355x2.10x7.181%7.18%15.090%15.1%8-1.000000x-1.000000x2.004477x2.004477x2.00x7.995%7.99%16.026%16.0%9-1.000000x-1.000000x1.986264x1.986264x1.99x5.809%5.81%11.538%11.5%10-1.000000x-1.000000x1.955288x1.955288x1.96x0.704%0.70%1.376%1.38%11-1.000000x-1.000000x1.952597x1.952597x1.95x5.155%5.15%10.065%10.1%12-1.000000x-1.000000x1.670875x1.670875x1.67x9.594%9.59%16.031%16.0%13-1.000000x-1.000000x1.474223x1.474223x1.47x5.951%5.95%8.773%8.77%14-1.000000x-1.000000x1.467255x1.467255x1.47x7.951%7.95%11.667%11.7%15-1.000000x-1.000000x1.395597x1.395597x1.40x1.527%1.53%2.131%2.13%16-1.000000x-1.000000x1.369104x1.369104x1.37x0.517%0.52%0.708%0.71%17-1.000000x-1.000000x1.269231x1.269231x1.27x6.220%6.22%7.895%7.89%18-1.000000x-1.000000x1.243504x1.243504x1.24x12.000%12.0%14.922%14.9%19-1.000000x-1.000000x1.216777x1.216777x1.22x7.065%7.06%8.596%8.60%20-1.000000x-1.000000x1.164034x1.164034x1.16x8.269%8.27%9.626%9.63%21-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127040x1.127040x1.13x2.776%2.78%3.129%3.13%22-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%23-1.000000x-1.000000x1.122508x1.122508x1.12x8.025%8.02%9.008%9.01%-1.000000x-1.000000x1.119297x1.119297x1.12x8.416%8.42%9.420%9.42%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.091817x1.091817x1.09x4.680%4.68%5.109%5.11%24-1.000000x-1.000000x1.090429x1.090429x1.09x3.118%3.12%3.400%3.40%25-1.000000x-1.000000x1.076480x1.076480x1.08x2.597%2.60%2.796%2.80%26-1.000000x-1.000000x1.042644x1.042644x1.04x19.863%19.9%20.710%20.7%27-1.000000x-1.000000x1.014315x1.014315x1.01x6.250%6.25%6.339%6.34%28-1.017199x-1.017199x1.02x1.000000x1.000000x2.703%2.70%2.657%2.66%29-1.037946x-1.037946x1.04x1.000000x1.000000x12.932%12.9%12.460%12.5%30-1.056159x-1.056159x1.06x1.000000x1.000000x17.667%17.7%16.727%16.7%31-1.072675x-1.072675x1.07x1.000000x1.000000x9.489%9.49%8.846%8.85%32-1.074830x-1.074830x1.07x1.000000x1.000000x4.438%4.44%4.129%4.13%33-1.077416x-1.077416x1.08x1.000000x1.000000x9.459%9.46%8.780%8.78%34-1.094990x-1.094990x1.09x1.000000x1.000000x7.783%7.78%7.108%7.11%35-1.159790x-1.159790x1.16x1.000000x1.000000x9.936%9.94%8.567%8.57%36-1.248115x-1.248115x1.25x1.000000x1.000000x4.950%4.95%3.966%3.97%37-1.299517x-1.299517x1.30x1.000000x1.000000x12.845%12.8%9.885%9.88%38-1.352941x-1.352941x1.35x1.000000x1.000000x11.058%11.1%8.173%8.17%39-1.400388x-1.400388x1.40x1.000000x1.000000x7.233%7.23%5.165%5.17%40-1.412399x-1.412399x1.41x1.000000x1.000000x3.774%3.77%2.672%2.67%41-1.431818x-1.431818x1.43x1.000000x1.000000x6.818%6.82%4.762%4.76%42-1.990236x-1.990236x1.99x1.000000x1.000000x11.248%11.2%5.651%5.65%43-2.220793x-2.220793x2.22x1.000000x1.000000x4.502%4.50%2.027%2.03%44-2.428826x-2.428826x2.43x1.000000x1.000000x6.228%6.23%2.564%2.56%45-2.575265x-2.575265x2.58x1.000000x1.000000x9.056%9.06%3.516%3.52%46-3.032425x-3.032425x3.03x1.000000x1.000000x5.766%5.77%1.901%1.90%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x10.870%10.9%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#51

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Topeka, selected other county subdivisions in the Topeka Area, and entities that contain Topeka
Female
Male
10x5x0x5x10xFM#WilliamsportHoltonMonmouthFairviewVly BrkAlma TownshipWilmingtonGarfieldRuralTopekaRidgewayOzawkieSoldierRossvilleMissionDouglasDelawareShawneeMidwestWest North CentralKansasUnited StatesTopeka AreaTopekaTopekaMaple HlElk TownshipAuburnNewburyLincolnOskaloosaTecumsehKentuckyUnionOsage CitySilver LkDoverLibertyMelvernSarcoxieJctJeffersonMenokenFranklinFairfaxMission CrkPlumbWabaunsee-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.533%1.53%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.930%0.93%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.933%5.93%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.618%3.62%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.978%1.98%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.703%1.70%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.527%1.53%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.962%0.96%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.842%6.84%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.135%9.13%10-1.000000x-1.000000x5.292980x5.292980x5.29x0.244%0.24%1.289%1.29%11-1.000000x-1.000000x4.483549x4.483549x4.48x0.902%0.90%4.045%4.05%12-1.000000x-1.000000x4.007141x4.007141x4.01x0.838%0.84%3.357%3.36%13-1.000000x-1.000000x3.876442x3.876442x3.88x0.552%0.55%2.142%2.14%14-1.000000x-1.000000x2.537230x2.537230x2.54x4.094%4.09%10.388%10.4%15-1.000000x-1.000000x2.111413x2.111413x2.11x1.030%1.03%2.174%2.17%16-1.000000x-1.000000x1.651786x1.651786x1.65x0.901%0.90%1.488%1.49%17-1.000000x-1.000000x1.642202x1.642202x1.64x2.435%2.43%3.998%4.00%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.508702x1.508702x1.51x2.207%2.21%3.330%3.33%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%18-1.000000x-1.000000x1.434299x1.434299x1.43x1.809%1.81%2.594%2.59%19-1.000000x-1.000000x1.360748x1.360748x1.36x0.801%0.80%1.090%1.09%20-1.000000x-1.000000x1.335429x1.335429x1.34x1.812%1.81%2.420%2.42%21-1.000000x-1.000000x1.259740x1.259740x1.26x1.031%1.03%1.299%1.30%22-1.000000x-1.000000x1.247059x1.247059x1.25x1.179%1.18%1.471%1.47%23-1.000000x-1.000000x1.046337x1.046337x1.05x3.553%3.55%3.718%3.72%24-1.268292x-1.268292x1.27x1.000000x1.000000x1.972%1.97%1.555%1.56%25-1.611842x-1.611842x1.61x1.000000x1.000000x2.632%2.63%1.633%1.63%26-1.679262x-1.679262x1.68x1.000000x1.000000x0.527%0.53%0.314%0.31%27-1.683817x-1.683817x1.68x1.000000x1.000000x2.432%2.43%1.444%1.44%28-1.810205x-1.810205x1.81x1.000000x1.000000x4.885%4.89%2.699%2.70%29-2.498221x-2.498221x2.50x1.000000x1.000000x4.270%4.27%1.709%1.71%30-3.348837x-3.348837x3.35x1.000000x1.000000x6.977%6.98%2.083%2.08%31-3.666667x-3.666667x3.67x1.000000x1.000000x1.333%1.33%0.364%0.36%32-3.862462x-3.862462x3.86x1.000000x1.000000x6.915%6.91%1.790%1.79%33-4.106952x-4.106952x4.11x1.000000x1.000000x7.843%7.84%1.910%1.91%34-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.008%1.01%0.000%0%35-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.725%2.73%0.000%0%36-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.572%2.57%0.000%0%37-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.978%5.98%0.000%0%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.082%4.08%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.319%5.32%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.818%6.82%0.000%0%41
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 41 by male-to-female sex ratio

Educational Attainment by County Subdivision in Kansas

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

No H.S. Diploma by County Subdivision#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Topeka, selected other county subdivisions in Kansas, and entities that contain Topeka
0%10%20%30%Count#LiberalDodge CityGarden CityKansas CityGreat BendCoffeyvilleArkansas CityParsonsHutchinsonEmporiaUnited States of AmericaUnited StatesWichitaChanutePittsburgSalinaTopekaTopekaNewtonFort ScottLansingRiverside TownshipRiversideIndependenceMidwestJunction CityAugustaOttawaWinfieldKansasWellingtonWest North CentralShawnee CountyShawneeLeavenworthSalem TownshipSalemKechi TownshipKechiTopeka Metro AreaTopeka AreaEl DoradoAtchisonOlatheMerriamHaysShawneeGardnerFairmount TownshipFairmountMcPhersonLawrenceTecumseh TownshipTecumsehLenexaManhattanBruno TownshipBrunoMissionRockford TownshipRockfordOverland ParkMission TownshipMissionMadison TownshipMadisonSoldier TownshipSoldierPrairie VillagePrairie VlgLeawood34.641303%34.641303%34.6%4,061132.097762%32.097762%32.1%5,135228.082803%28.082803%28.1%4,409322.659362%22.659362%22.7%21,21821.2k415.641026%15.641026%15.6%1,586515.171442%15.171442%15.2%969614.949801%14.949801%14.9%1,087714.551455%14.551455%14.6%970813.823602%13.823602%13.8%3,923913.704420%13.704420%13.7%1,9131013.020590%13.020590%13.0%27,818,38027.8M12.568464%12.568464%12.6%31,23131.2k1111.381977%11.381977%11.4%6771211.295872%11.295872%11.3%1,1821311.048593%11.048593%11.0%3,4561411.032803%11.032803%11.0%9,37711.032803%11.032803%11.0%9,3771510.761381%10.761381%10.8%1,3711610.586383%10.586383%10.6%5381710.514597%10.514597%10.5%8501810.505186%10.505186%10.5%9421910.428082%10.428082%10.4%6092010.244520%10.244520%10.2%4,641,8354.64M10.182349%10.182349%10.2%1,3962110.146444%10.146444%10.1%5822210.071134%10.071134%10.1%807239.929435%9.929435%9.9%788249.691216%9.691216%9.7%182,049182k9.444135%9.444135%9.4%508259.174633%9.174633%9.2%1,278,0511.28M8.891003%8.891003%8.9%10,65410.7k8.617355%8.617355%8.6%2,005268.603845%8.603845%8.6%546278.502773%8.502773%8.5%506288.494979%8.494979%8.5%13,40113.4k8.221457%8.221457%8.2%692297.664294%7.664294%7.7%463306.424130%6.424130%6.4%5,331316.386839%6.386839%6.4%528326.015657%6.015657%6.0%730335.113489%5.113489%5.1%2,174345.078221%5.078221%5.1%620354.979317%4.979317%5.0%325364.929499%4.929499%4.9%444374.814682%4.814682%4.8%2,411384.468530%4.468530%4.5%235394.370740%4.370740%4.4%1,526404.012073%4.012073%4.0%1,090413.841537%3.841537%3.8%352423.518712%3.518712%3.5%236433.398651%3.398651%3.4%529443.377424%3.377424%3.4%4,282452.942916%2.942916%2.9%199462.354874%2.354874%2.4%86472.351807%2.351807%2.4%244481.096310%1.096310%1.1%172490.675882%0.675882%0.7%15550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Topeka, selected other county subdivisions in Kansas, and entities that contain Topeka
0%20%40%60%Count#LeawoodPrairie VillagePrairie VlgOverland ParkLenexaLawrenceMissionManhattanMission TownshipMissionOlatheShawneeBruno TownshipBrunoRockford TownshipRockfordFairmount TownshipFairmountHaysMerriamGardnerPittsburgSoldier TownshipSoldierKansasLeavenworthUnited States of AmericaUnited StatesWest North CentralTecumseh TownshipTecumsehShawnee CountyShawneeMcPhersonMidwestWichitaLansingEmporiaTopeka Metro AreaTopeka AreaKechi TownshipKechiTopekaTopekaNewtonAtchisonSalinaAugustaEl DoradoWinfieldFort ScottJunction CityIndependenceOttawaRiverside TownshipRiversideParsonsGarden CityWellingtonHutchinsonGreat BendMadison TownshipMadisonDodge CityArkansas CityKansas CityChanuteCoffeyvilleSalem TownshipSalemLiberal74.085379%74.085379%74.1%16,99017.0k170.080948%70.080948%70.1%10,99511.0k258.823344%58.823344%58.8%74,57874.6k355.353153%55.353153%55.4%19,32619.3k453.552600%53.552600%53.6%26,81726.8k552.273744%52.273744%52.3%3,506652.149588%52.149588%52.1%14,16814.2k749.556344%49.556344%49.6%3,351846.512581%46.512581%46.5%38,59838.6k946.174291%46.174291%46.2%19,63119.6k1043.599258%43.599258%43.6%3,9951141.336332%41.336332%41.3%6,4341237.521066%37.521066%37.5%2,4491337.354759%37.354759%37.4%4,5331434.135720%34.135720%34.1%2,8221533.729216%33.729216%33.7%4,1181633.581804%33.581804%33.6%3,5141732.771084%32.771084%32.8%3,4001831.610465%31.610465%31.6%593,801594k31.370611%31.370611%31.4%7,2991930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.549344%29.549344%29.5%1,5542029.250849%29.250849%29.3%35,05135.1k29.121794%29.121794%29.1%2,6232128.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k2228.871846%28.871846%28.9%2,3342327.380185%27.380185%27.4%3,8222427.207896%27.207896%27.2%42,92142.9k27.188708%27.188708%27.2%1,6182527.007248%27.007248%27.0%22,95423.0k27.007248%27.007248%27.0%22,95423.0k2624.513344%24.513344%24.5%3,1232723.671578%23.671578%23.7%1,4302823.516624%23.516624%23.5%7,3562922.960251%22.960251%23.0%1,3173021.527860%21.527860%21.5%1,8123121.509577%21.509577%21.5%1,7073221.507281%21.507281%21.5%1,0933321.356674%21.356674%21.4%2,9283420.856164%20.856164%20.9%1,2183520.566579%20.566579%20.6%1,6483619.348723%19.348723%19.3%1,7353718.871887%18.871887%18.9%1,2583818.611465%18.611465%18.6%2,9223918.293363%18.293363%18.3%9844018.171888%18.171888%18.2%5,1574116.982249%16.982249%17.0%1,7224216.730559%16.730559%16.7%6114316.327041%16.327041%16.3%2,6124416.187595%16.187595%16.2%1,1774516.167409%16.167409%16.2%15,13915.1k4616.055817%16.055817%16.1%9554714.044152%14.044152%14.0%8974813.063347%13.063347%13.1%8294911.362279%11.362279%11.4%1,33250
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Topeka, selected other county subdivisions in Kansas, and entities that contain Topeka
0%5%10%Count#LeawoodManhattanPrairie VillagePrairie VlgLawrenceMission TownshipMissionOverland ParkLenexaShawneeHaysMissionPittsburgBruno TownshipBrunoUnited States of AmericaUnited StatesTopekaTopekaShawnee CountyShawneeParsonsKansasAtchisonWest North CentralMidwestFairmount TownshipFairmountOlatheTopeka Metro AreaTopeka AreaSalinaFort ScottWichitaEmporiaMerriamWellingtonKechi TownshipKechiSoldier TownshipSoldierMcPhersonLansingWinfieldTecumseh TownshipTecumsehGreat BendNewtonRockford TownshipRockfordJunction CityOttawaIndependenceLeavenworthChanuteKansas CityGarden CityDodge CityHutchinsonMadison TownshipMadisonRiverside TownshipRiversideGardnerEl DoradoLiberalArkansas CitySalem TownshipSalemCoffeyvilleAugusta14.267649%14.267649%14.3%3,272110.228946%10.228946%10.2%2,779210.198228%10.198228%10.2%1,60039.509545%9.509545%9.5%4,76247.068915%7.068915%7.1%47855.940071%5.940071%5.9%7,53165.358882%5.358882%5.4%1,87173.958603%3.958603%4.0%1,68383.765966%3.765966%3.8%45793.503802%3.503802%3.5%235103.373471%3.373471%3.4%353113.350431%3.350431%3.4%307123.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,7483.233245%3.233245%3.2%2,748133.173689%3.173689%3.2%3,8033.090309%3.090309%3.1%206143.019438%3.019438%3.0%56,72056.7k3.012746%3.012746%3.0%182152.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.849701%2.849701%2.8%186162.830666%2.830666%2.8%2,349172.744181%2.744181%2.7%4,3292.608696%2.608696%2.6%816182.597403%2.597403%2.6%132192.519246%2.519246%2.5%6,260202.399885%2.399885%2.4%335212.237813%2.237813%2.2%185222.212307%2.212307%2.2%119232.150899%2.150899%2.2%128242.053012%2.053012%2.1%213251.942933%1.942933%1.9%175261.830777%1.830777%1.8%148271.814516%1.814516%1.8%144281.768397%1.768397%1.8%93291.715976%1.715976%1.7%174301.711146%1.711146%1.7%218311.612592%1.612592%1.6%251321.611962%1.611962%1.6%221331.584924%1.584924%1.6%127341.575342%1.575342%1.6%92351.439807%1.439807%1.4%335361.429052%1.429052%1.4%85371.388310%1.388310%1.4%1,300381.375796%1.375796%1.4%216391.343918%1.343918%1.3%215401.018359%1.018359%1.0%289410.985761%0.985761%1.0%36420.970224%0.970224%1.0%87430.933737%0.933737%0.9%114440.796008%0.796008%0.8%67450.639768%0.639768%0.6%75460.577637%0.577637%0.6%42470.378191%0.378191%0.4%24480.266166%0.266166%0.3%17490.261506%0.261506%0.3%1550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#55

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Topeka, selected other county subdivisions in Kansas, and entities that contain Topeka
Female
Male
2x0x2x4x6xFM#SoldierPrairie VlgLansingKechiSalemEl DoradoWinfieldCoffeyvillePittsburgHutchinsonGreat BendLawrenceGardnerIndependenceNewtonKansas CityChanuteFairmountWest North CentralKansasMidwestMissionTopekaTopekaTopeka AreaShawneeDodge CityArkansas CityUnited StatesOlatheFort ScottOverland ParkOttawaLiberalEmporiaWichitaHaysLeavenworthParsonsBrunoGarden CityLenexaSalinaRiversideShawneeMerriamTecumsehRockfordWellingtonAugustaManhattanJunction CityMadisonMcPhersonMissionAtchisonLeawood-1.000000x-1.000000x6.409381x6.409381x6.41x0.652%0.65%4.177%4.18%1-1.000000x-1.000000x2.955512x2.955512x2.96x0.582%0.58%1.720%1.72%2-1.000000x-1.000000x2.364703x2.364703x2.36x5.753%5.75%13.604%13.6%3-1.000000x-1.000000x1.701345x1.701345x1.70x6.355%6.36%10.813%10.8%4-1.000000x-1.000000x1.576560x1.576560x1.58x6.708%6.71%10.575%10.6%5-1.000000x-1.000000x1.411259x1.411259x1.41x6.927%6.93%9.775%9.78%6-1.000000x-1.000000x1.312419x1.312419x1.31x8.574%8.57%11.252%11.3%7-1.000000x-1.000000x1.305222x1.305222x1.31x13.337%13.3%17.408%17.4%8-1.000000x-1.000000x1.290383x1.290383x1.29x9.952%9.95%12.842%12.8%9-1.000000x-1.000000x1.285110x1.285110x1.29x12.110%12.1%15.563%15.6%10-1.000000x-1.000000x1.276094x1.276094x1.28x13.844%13.8%17.667%17.7%11-1.000000x-1.000000x1.232644x1.232644x1.23x4.323%4.32%5.329%5.33%12-1.000000x-1.000000x1.223779x1.223779x1.22x4.572%4.57%5.595%5.60%13-1.000000x-1.000000x1.221651x1.221651x1.22x9.421%9.42%11.510%11.5%14-1.000000x-1.000000x1.212719x1.212719x1.21x9.765%9.76%11.842%11.8%15-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%16-1.000000x-1.000000x1.181812x1.181812x1.18x10.500%10.5%12.409%12.4%17-1.000000x-1.000000x1.141862x1.141862x1.14x4.642%4.64%5.301%5.30%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127040x1.127040x1.13x2.776%2.78%3.129%3.13%19-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%20-1.000000x-1.000000x1.122508x1.122508x1.12x8.025%8.02%9.008%9.01%-1.000000x-1.000000x1.119297x1.119297x1.12x8.416%8.42%9.420%9.42%-1.000000x-1.000000x1.117097x1.117097x1.12x30.255%30.3%33.798%33.8%21-1.000000x-1.000000x1.113954x1.113954x1.11x14.168%14.2%15.782%15.8%22-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%23-1.000000x-1.000000x1.106385x1.106385x1.11x10.110%10.1%11.185%11.2%24-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%25-1.000000x-1.000000x1.080037x1.080037x1.08x9.713%9.71%10.491%10.5%26-1.000000x-1.000000x1.076705x1.076705x1.08x33.351%33.4%35.909%35.9%27-1.000000x-1.000000x1.064594x1.064594x1.06x13.284%13.3%14.142%14.1%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.056897x1.056897x1.06x5.851%5.85%6.184%6.18%30-1.000000x-1.000000x1.023913x1.023913x1.02x8.507%8.51%8.710%8.71%31-1.000000x-1.000000x1.002176x1.002176x1.00x14.537%14.5%14.568%14.6%32-1.021682x-1.021682x1.02x1.000000x1.000000x3.880%3.88%3.798%3.80%33-1.028302x-1.028302x1.03x1.000000x1.000000x28.471%28.5%27.687%27.7%34-1.036696x-1.036696x1.04x1.000000x1.000000x4.445%4.45%4.288%4.29%35-1.067382x-1.067382x1.07x1.000000x1.000000x11.394%11.4%10.675%10.7%36-1.114198x-1.114198x1.11x1.000000x1.000000x11.058%11.1%9.925%9.92%37-1.120654x-1.120654x1.12x1.000000x1.000000x5.393%5.39%4.812%4.81%38-1.159410x-1.159410x1.16x1.000000x1.000000x6.844%6.84%5.903%5.90%39-1.248115x-1.248115x1.25x1.000000x1.000000x4.950%4.95%3.966%3.97%40-1.345784x-1.345784x1.35x1.000000x1.000000x3.874%3.87%2.879%2.88%41-1.374204x-1.374204x1.37x1.000000x1.000000x10.926%10.9%7.951%7.95%42-1.534357x-1.534357x1.53x1.000000x1.000000x12.019%12.0%7.833%7.83%43-1.571770x-1.571770x1.57x1.000000x1.000000x4.938%4.94%3.142%3.14%44-1.599843x-1.599843x1.60x1.000000x1.000000x12.475%12.5%7.798%7.80%45-1.716758x-1.716758x1.72x1.000000x1.000000x3.140%3.14%1.829%1.83%46-1.760420x-1.760420x1.76x1.000000x1.000000x6.213%6.21%3.529%3.53%47-1.814184x-1.814184x1.81x1.000000x1.000000x4.429%4.43%2.441%2.44%48-2.476800x-2.476800x2.48x1.000000x1.000000x10.476%10.5%4.229%4.23%49-2.686567x-2.686567x2.69x1.000000x1.000000x0.970%0.97%0.361%0.36%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#56

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Topeka, selected other county subdivisions in Kansas, and entities that contain Topeka
Female
Male
10x5x0x5x10xFM#AugustaChanuteWinfieldRockfordSoldierEmporiaArkansas CityHutchinsonMerriamMissionKechiGardnerEl DoradoFort ScottLeawoodGarden CityMadisonParsonsPittsburgWichitaSalinaJunction CityOverland ParkOlatheShawneeRiversideMcPhersonPrairie VlgMidwestOttawaWest North CentralKansasKansas CityLenexaUnited StatesTopeka AreaTopekaTopekaLeavenworthIndependenceManhattanDodge CityShawneeWellingtonLawrenceAtchisonBrunoHaysCoffeyvilleNewtonLiberalGreat BendMissionTecumsehLansingFairmountSalem-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.585%0.58%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.063%0.06%3.020%3.02%2-1.000000x-1.000000x7.288333x7.288333x7.29x0.434%0.43%3.162%3.16%3-1.000000x-1.000000x4.747377x4.747377x4.75x0.578%0.58%2.744%2.74%4-1.000000x-1.000000x4.007141x4.007141x4.01x0.838%0.84%3.357%3.36%5-1.000000x-1.000000x3.312765x3.312765x3.31x1.125%1.12%3.725%3.73%6-1.000000x-1.000000x2.998168x2.998168x3.00x0.293%0.29%0.880%0.88%7-1.000000x-1.000000x2.794101x2.794101x2.79x0.539%0.54%1.505%1.51%8-1.000000x-1.000000x2.782546x2.782546x2.78x1.199%1.20%3.337%3.34%9-1.000000x-1.000000x2.537230x2.537230x2.54x4.094%4.09%10.388%10.4%10-1.000000x-1.000000x2.366516x2.366516x2.37x1.297%1.30%3.069%3.07%11-1.000000x-1.000000x2.304595x2.304595x2.30x0.567%0.57%1.308%1.31%12-1.000000x-1.000000x2.295552x2.295552x2.30x0.501%0.50%1.150%1.15%13-1.000000x-1.000000x2.270873x2.270873x2.27x1.661%1.66%3.773%3.77%14-1.000000x-1.000000x2.087205x2.087205x2.09x9.355%9.35%19.525%19.5%15-1.000000x-1.000000x2.084839x2.084839x2.08x0.895%0.90%1.866%1.87%16-1.000000x-1.000000x2.009602x2.009602x2.01x0.614%0.61%1.235%1.23%17-1.000000x-1.000000x1.908318x1.908318x1.91x2.176%2.18%4.153%4.15%18-1.000000x-1.000000x1.879461x1.879461x1.88x2.394%2.39%4.500%4.50%19-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%20-1.000000x-1.000000x1.784144x1.784144x1.78x1.895%1.89%3.381%3.38%21-1.000000x-1.000000x1.763230x1.763230x1.76x1.173%1.17%2.068%2.07%22-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%23-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%24-1.000000x-1.000000x1.642202x1.642202x1.64x2.435%2.43%3.998%4.00%-1.000000x-1.000000x1.637602x1.637602x1.64x0.740%0.74%1.212%1.21%25-1.000000x-1.000000x1.636870x1.636870x1.64x1.489%1.49%2.438%2.44%26-1.000000x-1.000000x1.609745x1.609745x1.61x7.994%7.99%12.868%12.9%27-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.584551x1.584551x1.58x1.249%1.25%1.979%1.98%28-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%29-1.000000x-1.000000x1.562944x1.562944x1.56x4.233%4.23%6.617%6.62%30-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.508702x1.508702x1.51x2.207%2.21%3.330%3.33%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%31-1.000000x-1.000000x1.473714x1.473714x1.47x1.146%1.15%1.688%1.69%32-1.000000x-1.000000x1.336698x1.336698x1.34x1.355%1.36%1.812%1.81%33-1.000000x-1.000000x1.323486x1.323486x1.32x8.767%8.77%11.603%11.6%34-1.000000x-1.000000x1.281717x1.281717x1.28x1.172%1.17%1.502%1.50%35-1.000000x-1.000000x1.271087x1.271087x1.27x3.502%3.50%4.451%4.45%36-1.000000x-1.000000x1.255044x1.255044x1.26x1.963%1.96%2.464%2.46%37-1.000000x-1.000000x1.209380x1.209380x1.21x8.627%8.63%10.433%10.4%38-1.000000x-1.000000x1.195212x1.195212x1.20x2.769%2.77%3.310%3.31%39-1.000000x-1.000000x1.187864x1.187864x1.19x3.079%3.08%3.658%3.66%40-1.000000x-1.000000x1.095717x1.095717x1.10x3.595%3.60%3.939%3.94%41-1.000000x-1.000000x1.083777x1.083777x1.08x0.256%0.26%0.278%0.28%42-1.000000x-1.000000x1.083742x1.083742x1.08x1.645%1.65%1.783%1.78%43-1.000000x-1.000000x1.063736x1.063736x1.06x0.620%0.62%0.659%0.66%44-1.000000x-1.000000x1.052399x1.052399x1.05x1.675%1.67%1.762%1.76%45-1.121244x-1.121244x1.12x1.000000x1.000000x3.686%3.69%3.288%3.29%46-1.268292x-1.268292x1.27x1.000000x1.000000x1.972%1.97%1.555%1.56%47-1.421235x-1.421235x1.42x1.000000x1.000000x2.232%2.23%1.570%1.57%48-2.772437x-2.772437x2.77x1.000000x1.000000x4.235%4.23%1.527%1.53%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.742%0.74%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Topeka, selected other county subdivisions in the Midwest, and entities that contain Topeka
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsKansasWest North CentralShawnee CountyShawneeCapital TownshipCapitalTopeka Metro AreaTopeka AreaWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,37711.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.691216%9.691216%9.7%182,049182k9.174633%9.174633%9.2%1,278,0511.28M8.891003%8.891003%8.9%10,65410.7k8.623103%8.623103%8.6%6,837358.494979%8.494979%8.5%13,40113.4k8.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Topeka, selected other county subdivisions in the Midwest, and entities that contain Topeka
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsKansasUnited States of AmericaUnited StatesSioux FallsWest North CentralShawnee CountyShawneeMidwestWichitaSterling HeightsSterling HtsTopeka Metro AreaTopeka AreaTopekaTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2831.610465%31.610465%31.6%593,801594k30.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M29.250849%29.250849%29.3%35,05135.1k28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.207896%27.207896%27.2%42,92142.9k27.007248%27.007248%27.0%22,95423.0k27.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Topeka, selected other county subdivisions in the Midwest, and entities that contain Topeka
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 StatesTopekaTopekaGrand RapidsShawnee CountyShawneeLawrence TownshipLawrenceKansasWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheTopeka Metro AreaTopeka AreaCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,7483.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.173689%3.173689%3.2%3,8033.083448%3.083448%3.1%2,472253.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.744181%2.744181%2.7%4,3292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#60

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Topeka, selected other county subdivisions in the Midwest, and entities that contain Topeka
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralKansasWayneMidwestTopekaTopekaMilwaukeeTopeka AreaShawneeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%-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-1.000000x1.122508x1.122508x1.12x8.025%8.02%9.008%9.01%-1.000000x-1.000000x1.119297x1.119297x1.12x8.416%8.42%9.420%9.42%-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#61

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Topeka, selected other county subdivisions in the Midwest, and entities that contain Topeka
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaShawneeFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansasKansas CityAuroraUnited StatesAnn ArborTopeka AreaTopekaTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.642202x1.642202x1.64x2.435%2.43%3.998%4.00%-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-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-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-1.000000x1.508702x1.508702x1.51x2.207%2.21%3.330%3.33%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%-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
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 Topeka to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Topeka. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Topeka, selected other county subdivisions in the United States, and entities that contain Topeka
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaTopekaTopekaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonKansasAtlantaWest North CentralShawnee CountyShawneeSeattleTopeka Metro AreaTopeka AreaNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%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%43,65343.7k4111.032803%11.032803%11.0%9,37711.032803%11.032803%11.0%9,37710.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.691216%9.691216%9.7%182,049182k9.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.891003%8.891003%8.9%10,65410.7k8.833573%8.833573%8.8%66,22066.2k478.494979%8.494979%8.5%13,40113.4k8.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Topeka, selected other county subdivisions in the United States, and entities that contain Topeka
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonKansasOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreShawnee CountyShawneeLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyTopeka Metro AreaTopeka AreaTopekaTopekaOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%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%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.610465%31.610465%31.6%593,801594k31.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.250849%29.250849%29.3%35,05135.1k29.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3727.207896%27.207896%27.2%42,92142.9k27.007248%27.007248%27.0%22,95423.0k27.007248%27.007248%27.0%22,95423.0k26.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Topeka, selected other county subdivisions in the United States, and entities that contain Topeka
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 StatesTopekaTopekaShawnee CountyShawneeTulsaKansasPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensTopeka Metro AreaTopeka AreaNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%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%7,127,6737.13M3.233245%3.233245%3.2%2,7483.233245%3.233245%3.2%2,7483.173689%3.173689%3.2%3,8033.140490%3.140490%3.1%12,13312.1k313.019438%3.019438%3.0%56,72056.7k3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.744181%2.744181%2.7%4,3292.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#65

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of Topeka, selected other county subdivisions in the United States, and entities that contain Topeka
Female
Male
1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralKansasMidwestFresnoTopekaTopekaMilwaukeeTopeka AreaShawneeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.122508x1.122508x1.12x8.025%8.02%9.008%9.01%-1.000000x-1.000000x1.119297x1.119297x1.12x8.416%8.42%9.420%9.42%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#66

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of Topeka, selected other county subdivisions in the United States, and entities that contain Topeka
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixShawneeTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralKansasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseTopeka AreaHempsteadFresnoNE TarrantTopekaTopekaTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.642202x1.642202x1.64x2.435%2.43%3.998%4.00%-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-1.000000x1.579303x1.579303x1.58x2.100%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-1.000000x1.571500x1.571500x1.57x2.361%2.36%3.710%3.71%-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-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.508702x1.508702x1.51x2.207%2.21%3.330%3.33%-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-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%-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
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

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Education

More Maps to Explore

State:
Kansas
County:
Shawnee
Metro Area:
Topeka Area
City:
Topeka
ZIP Codes:
66409, 66546, 66603, 66604, 66605, 66606, 66607, 66608, 66609, 66610, 66611, 66612, 66614, 66615, 66616, 66617, 66618, 66619, 66621, 66622
Unified School Districts:
Auburn-Washburn 437, Seaman 345, Shawnee Heights 450, Topeka 501
Neighborhoods:
Central Highland Park, Central Park, Chesney Park, College Hill, Downtown, East End, Ellenwand, Elmhurst, Greater Aubrundale, Highland Crest, Historic Holiday Park, Jefferson Square, Kenwood, Likins Foster, McAlister Parkway, Monroe, Norton, Oakland, Oldtown, Potwin, Quinton Heights, Randolph, Tennessee Town, Ward Meade, Westboro
Congressional District:
KS-2
State Senate Districts:
KS-18, KS-19, KS-20
State House Districts:
KS-50, KS-52, KS-53, KS-54, KS-55, KS-56, KS-57, KS-58
Neighboring Townships:
Menoken, Mission, Monmouth, Soldier, Tecumseh, Topeka, Williamsport
Nearby Townships:
Auburn, Dover, Grove, Kanwaka, Kaw, Kentucky, Lecompton, Ridgeway, Rock Creek, Silver Lake