Educational Attainment in the Victoria Township, Rice County, Kansas (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Rice County and the Victoria Township
Victoria Township
Rice County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma214.622642%31.300940%14.622642%14.6%3177.358491%57.413793%77.358491%77.4%1648.018868%11.285266%8.018868%8.0%17
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 Rice County at large.
Scope: population of Rice County and the Victoria Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-53.283699%-53.283699%-53.3%14.623%14.6%31.301%31.3%34.738512%34.738512%+34.7%77.358%77.4%57.414%57.4%-28.943920%-28.943920%-28.9%8.019%8.02%11.285%11.3%
% percentage with given level in the Victoria Township
ref. percentage with given level in Rice 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 Rice County and the Victoria Township
Victoria Township
Rice County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.442006%00.943396%0.485893%0.943396%0.9%22.358491%5.376176%2.358491%2.4%55.188679%15.078370%5.188679%5.2%116.132075%8.918495%6.132075%6.1%1332.547170%28.275862%32.547170%32.5%6944.811321%29.137931%44.811321%44.8%957.075472%7.178683%7.075472%7.1%150.943396%3.009404%0.943396%0.9%20.000000%0.000000%0.0%1.097179%0
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 Rice County at large.
Scope: population of Rice County and the Victoria Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%1.442%1.44%94.157030%94.157030%+94.2%0.943%0.94%0.486%0.49%-56.130700%-56.130700%-56.1%2.358%2.36%5.376%5.38%-65.588593%-65.588593%-65.6%5.189%5.19%15.078%15.1%-31.243161%-31.243161%-31.2%6.132%6.13%8.918%8.92%15.105844%15.105844%+15.1%32.547%32.5%28.276%28.3%53.790332%53.790332%+53.8%44.811%44.8%29.138%29.1%-1.437752%-1.437752%-1.4%7.075%7.08%7.179%7.18%-68.651730%-68.651730%-68.7%0.943%0.94%3.009%3.01%-100.000000%-100.000000%-100.0%0.000%0%1.097%1.10%
% percentage with given level in the Victoria Township
ref. percentage with given level in Rice 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 Rice County and the Victoria Township
More Females More Males
Rice County
Victoria Township
200%0%200%400%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-234.438776%-3.655144%-234.438776%234%23.469%23.5%7.018%7.02%-2.664863%7.161740%7.161740%7%74.490%74.5%79.825%79.8%544.736842%26.352141%544.736842%545%2.041%2.04%13.158%13.2%
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 Rice County and the Victoria Township
More Females More Males
Rice County
Victoria Township
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-1,000.000000%-1,000.000000%> 1000%197.214696%2.041%2.04%0.000%0%-365.306122%-365.306122%0k%5.203360%4.082%4.08%0.877%0.88%-103.571429%-2.105389%-103.571429%0k%7.143%7.14%3.509%3.51%-287.755102%-43.618704%-287.755102%0k%10.204%10.2%2.632%2.63%25.877193%10.247276%25.877193%0k%28.571%28.6%35.965%36.0%-4.693878%-15.826158%-4.693878%0k%45.918%45.9%43.860%43.9%1,000.000000%36.964088%1,000.000000%> 1000%0.000%0%13.158%13.2%-1,000.000000%-1,000.000000%> 1000%5.555425%2.041%2.04%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Rice County and the Victoria Township
Victoria Township
Rice County
0%5%10%15%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%18.778539%0487.142857%12.987505%7.142857%7.1%91264.545455%13.296703%4.545455%4.5%1226.250000%15.691736%6.250000%6.3%116
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 Rice County at large.
Scope: population of Rice County and the Victoria Township
100%80%60%40%20%0%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%18.779%18.8%-45.002082%-45.002082%45.0%7.143%7.14%12.988%13.0%-65.815177%-65.815177%65.8%4.545%4.55%13.297%13.3%-60.170118%-60.170118%60.2%6.250%6.25%15.692%15.7%
% percentage in the Victoria Township with a Bachelor's degree
ref percentage in Rice 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 Rice County and the Victoria Township
More Females More Males
Rice County
Victoria Township
0%500%1,000%FM45-6435-4425-34-239.062500%-7.193238%-239.062500%239.1%10.938%10.9%3.226%3.23%-3.016224%1,000.000000%1,000.000000%> 1000%0.000%0%5.882%5.88%-52.984192%1,000.000000%1,000.000000%> 1000%0.000%0%8.333%8.33%
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 Rice County and the Victoria Township
Victoria Township
Rice County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$38,125.000000$44,697.000000$38,125.000000$38.1k73.302%3.30%$70,625.000000$35,393.000000$70,625.000000$70.6k115.189%5.19%$43,125.000000$34,357.000000$43,125.000000$43.1k8238.679%38.7%$32,273.000000$28,704.000000$32,273.000000$32.3k9544.811%44.8%$36,339.000000$32,077.000000$36,339.000000$36.3k212100.000%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 Rice County and the Victoria Township
Female Male
Rice County
Victoria Township
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40kFMSome CollegeH.S. Diploma2Total$-41,250.000000$-5,000.000000$-25,637.000000$-46,250.000000$46.3k$41,250.000000$25,637.000000$18,786.000000$41,250.000000$41.3k3844$-22,500.000000$-22,174.000000$-22,500.000000$22.5k$22,500.000000$20,227.000000$22,174.000000$15,882.000000$42,727.000000$42.7k4550$-30,729.000000$-25,697.000000$-30,729.000000$30.7k$30,729.000000$9,896.000000$25,697.000000$15,560.000000$40,625.000000$40.6k98114
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Rice County and the Victoria Township
Victoria Township
Rice County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma391.666667%88.663968%91.666667%91.7%1170.000000%80.882353%70.000000%70.0%4984.507042%73.083067%84.507042%84.5%60100.000000%63.842975%100.000000%100.0%11
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Rice County and the Victoria Township
Female Male
Rice County
Victoria Township
Shaded bar tips show excess over facing bar.
10%0%10%20%MFWhite1Hispanic2-2.061856%-8.215882%-2.061856%2.1%2.061856%11.827033%8.215882%3.624807%13.888889%13.9%152-0.000000%-17.180617%0.000000%0.0%0.000000%0.000000%17.180617%5.330206%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Rice County and the Victoria Township
Female Male
Rice County
Victoria Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Hispanic2-4.629630%-8.772432%-22.894465%-13.402062%13.4%4.629630%22.894465%1.827458%4.629630%4.6%513-0.000000%-5.286344%0.000000%0.0%0.000000%0.000000%5.286344%5.536167%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in Kansas

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

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Victoria Township, selected other county subdivisions in Kansas, and entities that contain the Victoria Township
0%10%20%30%Count#LiberalDodge CityGarden CityKansas CityGreat BendCoffeyvilleArkansas CityParsonsHutchinsonEmporiaUnited States of AmericaUnited StatesWichitaChanute967100Tract 967100PittsburgRice CountyRiceSalinaTopekaNewtonFort ScottLansingRiverside TownshipRiversideIndependenceMidwestJunction CityAugustaOttawaWinfieldKansasWellingtonWest North CentralLeavenworthSalem TownshipSalemKechi TownshipKechiEl DoradoVictoria TownshipVictoriaAtchisonOlatheMerriamHaysShawneeGardnerFairmount 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%6771211.303828%11.303828%11.3%18911.295872%11.295872%11.3%1,1821311.285266%11.285266%11.3%72011.048593%11.048593%11.0%3,4561411.032803%11.032803%11.0%9,3771510.761381%10.761381%10.8%1,3711610.586383%10.586383%10.6%5381710.514597%10.514597%10.5%8501810.505186%10.505186%10.5%9421910.428082%10.428082%10.4%6092010.244520%10.244520%10.2%4,641,8354.64M10.182349%10.182349%10.2%1,3962110.146444%10.146444%10.1%5822210.071134%10.071134%10.1%807239.929435%9.929435%9.9%788249.691216%9.691216%9.7%182,049182k9.444135%9.444135%9.4%508259.174633%9.174633%9.2%1,278,0511.28M8.617355%8.617355%8.6%2,005268.603845%8.603845%8.6%546278.502773%8.502773%8.5%506288.221457%8.221457%8.2%692298.018868%8.018868%8.0%177.664294%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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Victoria Township, selected other county subdivisions in Kansas, and entities that contain the Victoria Township
0%20%40%60%Count#LeawoodPrairie VillagePrairie VlgOverland ParkLenexaLawrenceMissionManhattanMission TownshipMissionOlatheShawneeBruno TownshipBrunoRockford TownshipRockfordFairmount TownshipFairmountHaysMerriamGardnerPittsburgSoldier TownshipSoldierKansasLeavenworthUnited States of AmericaUnited StatesWest North CentralTecumseh TownshipTecumsehMcPhersonMidwestWichitaLansingEmporiaKechi TownshipKechiTopekaNewtonAtchisonSalinaAugustaRice CountyRiceEl DoradoWinfieldFort ScottJunction CityIndependenceOttawaRiverside TownshipRiversideParsonsGarden CityWellingtonHutchinsonGreat BendMadison TownshipMadison967100Tract 967100Dodge CityArkansas CityKansas CityChanuteCoffeyvilleSalem TownshipSalemLiberalVictoria TownshipVictoria74.085379%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%1,5542029.121794%29.121794%29.1%2,6232128.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k2228.871846%28.871846%28.9%2,3342327.380185%27.380185%27.4%3,8222427.188708%27.188708%27.2%1,6182527.007248%27.007248%27.0%22,95423.0k2624.513344%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%1,3173022.382445%22.382445%22.4%1,42821.527860%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%6114316.626794%16.626794%16.6%27816.327041%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%1,332508.490566%8.490566%8.5%18
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#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Victoria Township, selected other county subdivisions in Kansas, and entities that contain the Victoria Township
0%5%10%Count#LeawoodManhattanPrairie VillagePrairie VlgLawrenceMission TownshipMissionOverland ParkLenexaShawneeHaysMissionPittsburgBruno TownshipBrunoUnited States of AmericaUnited StatesTopekaParsonsKansasAtchisonWest North CentralMidwestFairmount TownshipFairmountOlatheSalinaFort ScottWichitaEmporiaMerriamWellingtonKechi TownshipKechiSoldier TownshipSoldierMcPhersonRice CountyRiceLansingWinfieldTecumseh TownshipTecumsehGreat BendNewtonRockford TownshipRockfordJunction CityOttawaIndependenceLeavenworthChanuteKansas CityGarden CityDodge CityHutchinsonMadison TownshipMadisonRiverside TownshipRiversideVictoria TownshipVictoriaGardnerEl DoradoLiberalArkansas City967100Tract 967100Salem 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%2,748133.090309%3.090309%3.1%206143.019438%3.019438%3.0%56,72056.7k3.012746%3.012746%3.0%182152.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.849701%2.849701%2.8%186162.830666%2.830666%2.8%2,349172.608696%2.608696%2.6%816182.597403%2.597403%2.6%132192.519246%2.519246%2.5%6,260202.399885%2.399885%2.4%335212.237813%2.237813%2.2%185222.212307%2.212307%2.2%119232.150899%2.150899%2.2%128242.053012%2.053012%2.1%213251.942933%1.942933%1.9%175261.927900%1.927900%1.9%1231.830777%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%87430.943396%0.943396%0.9%20.933737%0.933737%0.9%114440.796008%0.796008%0.8%67450.639768%0.639768%0.6%75460.577637%0.577637%0.6%42470.418660%0.418660%0.4%70.378191%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#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Victoria Township, selected other county subdivisions in Kansas, and entities that contain the Victoria Township
Female
Male
2x0x2x4x6xFM#VictoriaSoldierPrairie VlgLansingKechiSalemEl DoradoWinfieldCoffeyvillePittsburgHutchinsonGreat BendRiceLawrenceGardnerIndependenceNewtonKansas CityChanuteFairmountWest North CentralKansasMidwestMissionTopekaDodge CityArkansas CityUnited StatesOlatheFort ScottTract 967100Overland ParkOttawaLiberalEmporiaWichitaHaysLeavenworthParsonsBrunoGarden CityLenexaSalinaRiversideShawneeMerriamTecumsehRockfordWellingtonAugustaManhattanJunction CityMadisonMcPhersonMissionAtchisonLeawood-1.000000x-1.000000x6.447368x6.447368x6.45x2.041%2.04%13.158%13.2%-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-1.000000x1.263521x1.263521x1.26x9.991%9.99%12.624%12.6%-1.000000x-1.000000x1.232644x1.232644x1.23x4.323%4.32%5.329%5.33%12-1.000000x-1.000000x1.223779x1.223779x1.22x4.572%4.57%5.595%5.60%13-1.000000x-1.000000x1.221651x1.221651x1.22x9.421%9.42%11.510%11.5%14-1.000000x-1.000000x1.212719x1.212719x1.21x9.765%9.76%11.842%11.8%15-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%16-1.000000x-1.000000x1.181812x1.181812x1.18x10.500%10.5%12.409%12.4%17-1.000000x-1.000000x1.141862x1.141862x1.14x4.642%4.64%5.301%5.30%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127040x1.127040x1.13x2.776%2.78%3.129%3.13%19-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%20-1.000000x-1.000000x1.117097x1.117097x1.12x30.255%30.3%33.798%33.8%21-1.000000x-1.000000x1.113954x1.113954x1.11x14.168%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-1.000000x1.100363x1.100363x1.10x10.769%10.8%11.850%11.9%-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#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Victoria Township, selected other county subdivisions in Kansas, and entities that contain the Victoria Township
Female
Male
10x5x0x5x10xFM#AugustaChanuteWinfieldRockfordSoldierRiceEmporiaArkansas CityHutchinsonMerriamMissionKechiGardnerEl DoradoFort ScottLeawoodGarden CityMadisonParsonsPittsburgWichitaSalinaJunction CityOverland ParkOlatheRiversideMcPhersonPrairie VlgMidwestOttawaWest North CentralKansasKansas CityLenexaUnited StatesTopekaLeavenworthIndependenceManhattanDodge CityShawneeWellingtonLawrenceAtchisonBrunoHaysCoffeyvilleNewtonLiberalGreat BendMissionTecumsehLansingFairmountTract 967100VictoriaSalem-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-1.000000x3.350906x3.350906x3.35x0.894%0.89%2.996%3.00%-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-1.000000x1.637602x1.637602x1.64x0.740%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-1.000000x1.481288x1.481288x1.48x2.641%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> 10.0x1.000000x1.000000x0.828%0.83%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.041%2.04%0.000%0%-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 the Victoria Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Victoria Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Victoria Township, selected other county subdivisions in the Midwest, and entities that contain the Victoria Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbus967100Tract 967100Rice CountyRiceMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsKansasWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineVictoria TownshipVictoriaSchaumburg 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%60,83160.8k2711.303828%11.303828%11.3%18911.285266%11.285266%11.3%72011.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.691216%9.691216%9.7%182,049182k9.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695378.018868%8.018868%8.0%177.739434%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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Victoria Township, selected other county subdivisions in the Midwest, and entities that contain the Victoria Township
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 CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRice CountyRiceRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayne967100Tract 967100Kansas CityClevelandAurora TownshipAuroraBlue TownshipDetroitVictoria TownshipVictoria72.810169%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%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3622.382445%22.382445%22.4%1,42821.592552%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%14,78814.8k4516.626794%16.626794%16.6%27816.167409%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%59,72359.7k508.490566%8.490566%8.5%18
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#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Victoria Township, selected other county subdivisions in the Midwest, and entities that contain the Victoria Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceKansasWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthRice CountyRiceClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipVictoria TownshipVictoriaAurora TownshipAuroraThornton TownshipThornton967100Tract 96710017.877867%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%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472253.019438%3.019438%3.0%56,72056.7k2.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927900%1.927900%1.9%1231.927780%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%1,069480.943396%0.943396%0.9%20.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.418660%0.418660%0.4%7
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#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Victoria Township, selected other county subdivisions in the Midwest, and entities that contain the Victoria Township
Female
Male
0x2x4x6xFM#VictoriaRiceCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralKansasWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheTract 967100WorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x6.447368x6.447368x6.45x2.041%2.04%13.158%13.2%-1.000000x-1.000000x1.263521x1.263521x1.26x9.991%9.99%12.624%12.6%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%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-1.000000x1.100363x1.100363x1.10x10.769%10.8%11.850%11.9%-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#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Victoria Township, selected other county subdivisions in the Midwest, and entities that contain the Victoria Township
Female
Male
10x5x0xFM#RiceRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansasKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonTract 967100Victoria-1.000000x-1.000000x3.350906x3.350906x3.35x0.894%0.89%2.996%3.00%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%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-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.828%0.83%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.041%2.04%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Victoria Township, selected other county subdivisions in the United States, and entities that contain the Victoria Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbus967100Tract 967100TulsaRice CountyRiceSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonKansasAtlantaWest North CentralSeattleNortheast TarrantNE TarrantVictoria TownshipVictoriaPlanoSeattle 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%60,83160.8k4011.303828%11.303828%11.3%18911.299086%11.299086%11.3%43,65343.7k4111.285266%11.285266%11.3%72010.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.691216%9.691216%9.7%182,049182k9.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k488.018868%8.018868%8.0%175.714681%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#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Victoria Township, selected other county subdivisions in the United States, and entities that contain the Victoria Township
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 CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoRice CountyRiceLas VegasEl PasoBronx967100Tract 967100San BernardinoSan Antonio CentralSan Antonio CntrlDetroitVictoria TownshipVictoria60.434640%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%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%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%94,05694.1k4422.382445%22.382445%22.4%1,42821.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.626794%16.626794%16.6%27816.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k508.490566%8.490566%8.5%18
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#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Victoria Township, selected other county subdivisions in the United States, and entities that contain the Victoria Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaKansasPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeRice CountyRiceSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitVictoria TownshipVictoria967100Tract 96710012.461852%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%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.019438%3.019438%3.0%56,72056.7k3.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.927900%1.927900%1.9%1231.807306%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%5,693500.943396%0.943396%0.9%20.418660%0.418660%0.4%7
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#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Victoria Township, selected other county subdivisions in the United States, and entities that contain the Victoria Township
Female
Male
0x2x4x6xFM#Victoria1, CharlotteRiceDetroitBaltimoreTulsaSW DallasWest North CentralKansasMidwestFresnoMilwaukeeUnited StatesTract 967100NE 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-1.000000x6.447368x6.447368x6.45x2.041%2.04%13.158%13.2%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.263521x1.263521x1.26x9.991%9.99%12.624%12.6%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136078x1.136078x1.14x9.088%9.09%10.324%10.3%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100363x1.100363x1.10x10.769%10.8%11.850%11.9%-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#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Victoria Township, selected other county subdivisions in the United States, and entities that contain the Victoria Township
Female
Male
10x5x0xFM#RiceEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralKansasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTract 967100Victoria-1.000000x-1.000000x3.350906x3.350906x3.35x0.894%0.89%2.996%3.00%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%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-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.828%0.83%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.041%2.04%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Kansas
County:
Rice
City:
Geneseo
ZIP Codes:
67444, 67554
Unified School Districts:
Ellsworth 327, Little River 444, Lyons 405
Congressional District:
KS-1
State Senate District:
KS-35
State House District:
KS-108
Neighboring Townships:
Eureka, Galt, Green Garden, Harrison, Lincoln, Mitchell, Thomas, Trivoli
Nearby Townships:
Ash Creek, Atlanta, Farmer, Langley, Lincoln, Odessa, Union, Valley, Wilson