Educational Attainment in the Watopa Township, Wabasha County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wabasha County and the Watopa Township
Watopa Township
Wabasha County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma233.974359%32.416268%33.974359%34.0%5362.820513%60.772196%62.820513%62.8%983.205128%6.811536%3.205128%3.2%5
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 Wabasha County at large.
Scope: population of Wabasha County and the Watopa Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma24.806510%4.806510%+4.8%33.974%34.0%32.416%32.4%3.370484%3.370484%+3.4%62.821%62.8%60.772%60.8%-52.945591%-52.945591%-52.9%3.205%3.21%6.812%6.81%
% percentage with given level in the Watopa Township
ref. percentage with given level in Wabasha 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 Wabasha County and the Watopa Township
Watopa Township
Wabasha County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.744285%00.000000%0.000000%0.0%1.030037%01.923077%4.817916%1.923077%1.9%323.076923%14.646465%23.076923%23.1%368.974359%11.177565%8.974359%9.0%1419.230769%23.637693%19.230769%19.2%3043.589744%37.134503%43.589744%43.6%683.205128%4.525518%3.205128%3.2%50.000000%0.000000%0.0%1.847422%00.000000%0.000000%0.0%0.438596%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 Wabasha County at large.
Scope: population of Wabasha County and the Watopa 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%0.744%0.74%-100.000000%-100.000000%-100.0%0.000%0%1.030%1.03%-60.084881%-60.084881%-60.1%1.923%1.92%4.818%4.82%57.559682%57.559682%+57.6%23.077%23.1%14.646%14.6%-19.710967%-19.710967%-19.7%8.974%8.97%11.178%11.2%-18.643628%-18.643628%-18.6%19.231%19.2%23.638%23.6%17.383404%17.383404%+17.4%43.590%43.6%37.135%37.1%-29.176550%-29.176550%-29.2%3.205%3.21%4.526%4.53%-100.000000%-100.000000%-100.0%0.000%0%1.847%1.85%-100.000000%-100.000000%-100.0%0.000%0%0.439%0.44%
% percentage with given level in the Watopa Township
ref. percentage with given level in Wabasha 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 Wabasha County and the Watopa Township
More Females More Males
Wabasha County
Watopa Township
0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-44.761905%-21.750148%-44.761905%45%40.000%40.0%27.632%27.6%18.993135%6.952576%18.993135%19%57.500%57.5%68.421%68.4%57.894737%39.883859%57.894737%58%2.500%2.50%3.947%3.95%
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 Wabasha County and the Watopa Township
More Females More Males
Wabasha County
Watopa Township
1,000%500%0%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3-1,000.000000%-38.230126%-1,000.000000%> 1000%3.750%3.75%0.000%0%-115.909091%-27.160577%-115.909091%116%31.250%31.3%14.474%14.5%-21.943314%163.157895%163.157895%163%5.000%5.00%13.158%13.2%-8.571429%-14.964676%-8.571429%9%20.000%20.0%18.421%18.4%33.333333%22.021847%33.333333%33%37.500%37.5%50.000%50.0%57.894737%10.970466%57.894737%58%2.500%2.50%3.947%3.95%
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 Wabasha County and the Watopa Township
Watopa Township
Wabasha County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-344.761905%12.640239%4.761905%4.8%24232.558140%14.590859%32.558140%32.6%288618.181818%17.776853%18.181818%18.2%42233.333333%15.035273%33.333333%33.3%26
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 Wabasha County at large.
Scope: population of Wabasha County and the Watopa Township
50%0%50%100%%ref.65+45-6435-4425-34-62.327416%-62.327416%62.3%4.762%4.76%12.640%12.6%123.140661%123.140661%123.1%32.558%32.6%14.591%14.6%2.278050%2.278050%2.3%18.182%18.2%17.777%17.8%121.700880%121.700880%121.7%33.333%33.3%15.035%15.0%
% percentage in the Watopa Township with a Bachelor's degree
ref percentage in Wabasha 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 Wabasha County and the Watopa Township
More Females More Males
Wabasha County
Watopa Township
1,000%500%0%FM65+45-6435-4425-34-33.333333%-33.333333%33.3%19.769168%5.556%5.56%4.167%4.17%-67.129630%-39.467073%-67.129630%67.1%39.583%39.6%23.684%23.7%-260.000000%-77.837385%-260.000000%260.0%30.000%30.0%8.333%8.33%-1,000.000000%-27.226043%-1,000.000000%> 1000%50.000%50.0%0.000%0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Wabasha County and the Watopa Township
Watopa Township
Wabasha County
$0k$20k$40k$60kCount%Bachelor's DegreeSome CollegeH.S. Diploma2Total$60,313.000000$51,649.000000$60,313.000000$60.3k3623.077%23.1%$36,250.000000$38,272.000000$36,250.000000$36.3k4428.205%28.2%$26,458.000000$31,770.000000$26,458.000000$26.5k6843.590%43.6%$40,500.000000$37,953.000000$40,500.000000$40.5k156100.000%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 Wabasha County and the Watopa Township
Female Male
Wabasha County
Watopa Township
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40kFMSome CollegeH.S. Diploma2Total$-21,250.000000$-32,356.000000$-21,250.000000$21.3k$21,250.000000$35,000.000000$32,356.000000$13,649.000000$56,250.000000$56.3k2024$-25,750.000000$-25,332.000000$-25,750.000000$25.8k$25,750.000000$1,214.000000$25,332.000000$13,145.000000$26,964.000000$27.0k3038$-40,000.000000$-1,250.000000$-32,016.000000$-41,250.000000$41.3k$40,000.000000$32,016.000000$10,882.000000$40,000.000000$40.0k8076
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 Wabasha County and the Watopa Township
Watopa Township
Wabasha County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.486486%89.619520%86.486486%86.5%3290.625000%85.166240%90.625000%90.6%2973.809524%80.214043%73.809524%73.8%3133.333333%59.958932%33.333333%33.3%1
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 Wabasha County and the Watopa Township
Female Male
Wabasha County
Watopa Township
Shaded bar tips show excess over facing bar.
4%2%0%2%4%6%MFWhite1-2.500000%-5.639201%-2.500000%2.5%2.500000%1.447368%5.639201%2.142141%3.947368%3.9%32
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 Wabasha County and the Watopa Township
Female Male
Wabasha County
Watopa Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%MFWhite1-14.473684%-20.526316%-18.895552%-4.605680%-35.000000%35.0%14.473684%18.895552%14.473684%14.5%1128
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 the Rochester Area

There are 110 county subdivisions in the Rochester Area. This section compares the Watopa Township to the 50 most populous county subdivisions in the Rochester Area and to those entities that contain or substantially overlap with the Watopa Township. The least populous of the compared county subdivisions has a population of 564.

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 Watopa Township, selected other county subdivisions in the Rochester Area, and entities that contain the Watopa Township
0%5%10%15%Count#ClaremontWest ConcordUnited States of AmericaUnited StatesMabelDodge CenterMazeppaMidwestChatfieldHarmonySpring ValleyWest North CentralRushfordRock Dell TownshipRock DellSalem TownshipSalemOrion TownshipOrionLake CityWabashaMinnesotaElginWabasha CountyWabashaMazeppa TownshipMazeppaPrestonRochesterRushford VillageRushford VlgRochester Metro AreaRochesterConcord TownshipConcord490200Tract 490200Wasioja TownshipWasiojaMantorvilleEyotaStewartvilleGillford TownshipGillfordPleasant Grove TownshipPleasant GrvMilton TownshipMiltonZumbro TownshipZumbroDoverKalmar TownshipKalmarHayfieldCascade TownshipCascadeElgin TownshipElginLanesboroMarion TownshipMarionHigh Forest TownshipHigh FrstPlainviewVernon TownshipVernonGreenfield TownshipGreenfieldOronoco TownshipOronocoWatopa TownshipWatopaChatfieldKassonHaverhill TownshipHaverhillPine IslandOronocoRochester TownshipRochesterCanisteo TownshipCanisteoByronNew Haven TownshipNew HvnMantorville TownshipMantorville18.316832%18.316832%18.3%74113.939394%13.939394%13.9%69213.020590%13.020590%13.0%27,818,38027.8M12.307692%12.307692%12.3%72311.764706%11.764706%11.8%190411.028037%11.028037%11.0%59510.244520%10.244520%10.2%4,641,8354.64M9.739130%9.739130%9.7%11269.494451%9.494451%9.5%7779.388511%9.388511%9.4%15289.174633%9.174633%9.2%1,278,0511.28M8.491281%8.491281%8.5%11298.466819%8.466819%8.5%37108.264463%8.264463%8.3%70117.862903%7.862903%7.9%39127.784055%7.784055%7.8%248137.642998%7.642998%7.6%155147.376055%7.376055%7.4%270,121270k7.355021%7.355021%7.4%52156.811536%6.811536%6.8%1,0256.776557%6.776557%6.8%37166.494845%6.494845%6.5%63176.300465%6.300465%6.3%4,713186.230032%6.230032%6.2%39196.187739%6.187739%6.2%8,9016.088993%6.088993%6.1%26205.889724%5.889724%5.9%1415.722892%5.722892%5.7%38215.412720%5.412720%5.4%40225.407464%5.407464%5.4%71235.383443%5.383443%5.4%212245.263158%5.263158%5.3%20255.226481%5.226481%5.2%30265.113636%5.113636%5.1%27275.098039%5.098039%5.1%26284.990020%4.990020%5.0%25294.949381%4.949381%4.9%44304.855491%4.855491%4.9%42314.724771%4.724771%4.7%103324.661017%4.661017%4.7%22334.424779%4.424779%4.4%25344.410701%4.410701%4.4%122354.257908%4.257908%4.3%35363.976722%3.976722%4.0%82373.516484%3.516484%3.5%16383.378378%3.378378%3.4%35393.324468%3.324468%3.3%50403.205128%3.205128%3.2%53.070761%3.070761%3.1%23412.830688%2.830688%2.8%107422.283105%2.283105%2.3%25432.257336%2.257336%2.3%10441.991614%1.991614%2.0%19451.907131%1.907131%1.9%23461.694915%1.694915%1.7%8471.534944%1.534944%1.5%47481.240695%1.240695%1.2%10490.485044%0.485044%0.5%650
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 Watopa Township, selected other county subdivisions in the Rochester Area, and entities that contain the Watopa Township
0%20%40%60%Count#Rochester TownshipRochesterPine IslandHaverhill TownshipHaverhillCascade TownshipCascadeOronoco TownshipOronocoOronocoRochesterMantorville TownshipMantorvilleByronCanisteo TownshipCanisteoRochester Metro AreaRochesterLanesboroMinnesotaSalem TownshipSalemNew Haven TownshipNew HvnKalmar TownshipKalmarMarion TownshipMarionUnited States of AmericaUnited StatesWest North CentralMidwestGillford TownshipGillfordChatfieldZumbro TownshipZumbroChatfieldHigh Forest TownshipHigh FrstMazeppa TownshipMazeppaStewartvilleVernon TownshipVernonPrestonRushford VillageRushford VlgEyotaKassonWatopa TownshipWatopaMantorvilleElgin TownshipElginWabashaOrion TownshipOrionMilton TownshipMiltonWasioja TownshipWasiojaPleasant Grove TownshipPleasant GrvElginWabasha CountyWabashaConcord TownshipConcordHarmonyPlainviewLake CityRock Dell TownshipRock DellDoverMazeppaHayfieldDodge Center490200Tract 490200Greenfield TownshipGreenfieldRushfordMabelWest ConcordSpring ValleyClaremont66.749585%66.749585%66.7%805160.948081%60.948081%60.9%270258.082192%58.082192%58.1%636357.981651%57.981651%58.0%1,264447.007979%47.007979%47.0%707546.331237%46.331237%46.3%442643.718250%43.718250%43.7%32,70332.7k741.632983%41.632983%41.6%515839.712606%39.712606%39.7%1,216938.771186%38.771186%38.8%1831035.991908%35.991908%36.0%51,77451.8k34.867257%34.867257%34.9%1971134.240609%34.240609%34.2%1,253,9371.25M34.120425%34.120425%34.1%2891232.878412%32.878412%32.9%2651332.733408%32.733408%32.7%2911431.742589%31.742589%31.7%8781530.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.947368%28.947368%28.9%1101628.782609%28.782609%28.8%3311728.431373%28.431373%28.4%1451828.037383%28.037383%28.0%2101927.980535%27.980535%28.0%2302027.472527%27.472527%27.5%1502127.323514%27.323514%27.3%1,0762227.252747%27.252747%27.3%1242326.804124%26.804124%26.8%2602426.677316%26.677316%26.7%1672525.894897%25.894897%25.9%3402625.026455%25.026455%25.0%9462725.000000%25.000000%25.0%3924.898512%24.898512%24.9%1842824.152542%24.152542%24.2%1142924.112426%24.112426%24.1%4893023.991935%23.991935%24.0%1193123.106061%23.106061%23.1%1223222.439759%22.439759%22.4%1493322.125436%22.125436%22.1%1273421.357850%21.357850%21.4%1513521.238703%21.238703%21.2%3,19621.077283%21.077283%21.1%903620.961776%20.961776%21.0%1703720.659554%20.659554%20.7%4263820.087884%20.087884%20.1%6403919.221968%19.221968%19.2%844018.962076%18.962076%19.0%954118.317757%18.317757%18.3%984217.109827%17.109827%17.1%1484316.842105%16.842105%16.8%2724416.248956%16.248956%16.2%38916.119691%16.119691%16.1%1674515.466262%15.466262%15.5%2044615.213675%15.213675%15.2%894714.545455%14.545455%14.5%724813.773935%13.773935%13.8%223491.732673%1.732673%1.7%750
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 Watopa Township, selected other county subdivisions in the Rochester Area, and entities that contain the Watopa Township
0%10%20%Count#Rochester TownshipRochesterHaverhill TownshipHaverhillCascade TownshipCascadeRochesterZumbro TownshipZumbroOronoco TownshipOronocoRochester Metro AreaRochesterWabashaMantorville TownshipMantorvilleByronOronocoLanesboroSalem TownshipSalemCanisteo TownshipCanisteoMinnesotaUnited States of AmericaUnited StatesWest North CentralPine IslandMidwestOrion TownshipOrionNew Haven TownshipNew HvnRock Dell TownshipRock DellSpring ValleyElginHarmonyMarion TownshipMarionMazeppa TownshipMazeppaMazeppaWabasha CountyWabashaRushford VillageRushford VlgKalmar TownshipKalmarDoverElgin TownshipElginMilton TownshipMiltonChatfieldPleasant Grove TownshipPleasant GrvKassonPrestonHigh Forest TownshipHigh FrstGreenfield TownshipGreenfieldWasioja TownshipWasiojaLake City490200Tract 490200Concord TownshipConcordEyotaVernon TownshipVernonMantorvilleChatfieldStewartvilleWest ConcordRushfordDodge CenterHayfieldMabelGillford TownshipGillfordPlainviewWatopa TownshipWatopaClaremont27.114428%27.114428%27.1%327115.981735%15.981735%16.0%175211.788991%11.788991%11.8%25738.768248%8.768248%8.8%6,55947.254902%7.254902%7.3%3757.247340%7.247340%7.2%10965.925658%5.925658%5.9%8,5245.078895%5.078895%5.1%10374.688763%4.688763%4.7%5884.604833%4.604833%4.6%14194.297694%4.297694%4.3%41104.247788%4.247788%4.2%24114.014168%4.014168%4.0%34123.601695%3.601695%3.6%17133.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.934537%2.934537%2.9%13142.893416%2.893416%2.9%1,311,0191.31M2.822581%2.822581%2.8%14152.481390%2.481390%2.5%20162.288330%2.288330%2.3%10172.285361%2.285361%2.3%37182.263083%2.263083%2.3%16192.096178%2.096178%2.1%17202.060738%2.060738%2.1%57212.014652%2.014652%2.0%11221.869159%1.869159%1.9%10231.774322%1.774322%1.8%2671.757188%1.757188%1.8%11241.687289%1.687289%1.7%15251.596806%1.596806%1.6%8261.483051%1.483051%1.5%7271.325758%1.325758%1.3%7281.304348%1.304348%1.3%15291.219512%1.219512%1.2%7301.164021%1.164021%1.2%44311.134021%1.134021%1.1%11321.094891%1.094891%1.1%9331.061776%1.061776%1.1%11341.054217%1.054217%1.1%7351.035782%1.035782%1.0%33360.960735%0.960735%1.0%230.936768%0.936768%0.9%4370.913938%0.913938%0.9%12380.879121%0.879121%0.9%4390.811908%0.811908%0.8%6400.801068%0.801068%0.8%6410.787202%0.787202%0.8%31420.404040%0.404040%0.4%2430.379075%0.379075%0.4%5440.371517%0.371517%0.4%6450.346821%0.346821%0.3%3460.341880%0.341880%0.3%2470.263158%0.263158%0.3%1480.096993%0.096993%0.1%2490.000000%0.000000%0.0%00.000000%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#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 Watopa Township, selected other county subdivisions in the Rochester Area, and entities that contain the Watopa Township
Female
Male
0x5x10xFM#MantorvilleOronocoPine IslandHaverhillElginByronGillfordRock DellZumbroCanisteoLanesboroPrestonSalemStewartvilleEyotaPleasant GrvCascadeOronocoDodge CenterConcordGreenfieldWatopaMiltonMazeppaWasiojaElginKassonLake CityRushford VlgMantorvilleWabashaTract 490200Spring ValleyNew HvnChatfieldWabashaWest North CentralMinnesotaMidwestRochesterUnited StatesRochesterDoverChatfieldMabelOrionRochesterHigh FrstVernonHarmonyKalmarClaremontRushfordMazeppaWest ConcordPlainviewMarionHayfield-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.972%0.97%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.983%3.98%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.367%4.37%3-1.000000x-1.000000x5.890988x5.890988x5.89x0.691%0.69%4.070%4.07%4-1.000000x-1.000000x5.868027x5.868027x5.87x1.322%1.32%7.755%7.76%5-1.000000x-1.000000x5.469595x5.469595x5.47x0.494%0.49%2.703%2.70%6-1.000000x-1.000000x4.837398x4.837398x4.84x1.714%1.71%8.293%8.29%7-1.000000x-1.000000x3.353524x3.353524x3.35x3.810%3.81%12.775%12.8%8-1.000000x-1.000000x3.053571x3.053571x3.05x2.593%2.59%7.917%7.92%9-1.000000x-1.000000x2.900000x2.900000x2.90x0.862%0.86%2.500%2.50%10-1.000000x-1.000000x2.583333x2.583333x2.58x2.581%2.58%6.667%6.67%11-1.000000x-1.000000x2.364035x2.364035x2.36x3.878%3.88%9.167%9.17%12-1.000000x-1.000000x2.361045x2.361045x2.36x4.930%4.93%11.639%11.6%13-1.000000x-1.000000x2.260510x2.260510x2.26x3.401%3.40%7.688%7.69%14-1.000000x-1.000000x1.916903x1.916903x1.92x3.768%3.77%7.223%7.22%15-1.000000x-1.000000x1.905063x1.905063x1.91x3.488%3.49%6.646%6.65%16-1.000000x-1.000000x1.770740x1.770740x1.77x3.407%3.41%6.033%6.03%17-1.000000x-1.000000x1.768347x1.768347x1.77x2.400%2.40%4.244%4.24%18-1.000000x-1.000000x1.724528x1.724528x1.72x8.747%8.75%15.085%15.1%19-1.000000x-1.000000x1.695802x1.695802x1.70x4.455%4.46%7.556%7.56%20-1.000000x-1.000000x1.615675x1.615675x1.62x2.569%2.57%4.151%4.15%21-1.000000x-1.000000x1.578947x1.578947x1.58x2.500%2.50%3.947%3.95%-1.000000x-1.000000x1.545455x1.545455x1.55x4.044%4.04%6.250%6.25%22-1.000000x-1.000000x1.543174x1.543174x1.54x8.594%8.59%13.262%13.3%23-1.000000x-1.000000x1.478895x1.478895x1.48x4.601%4.60%6.805%6.80%24-1.000000x-1.000000x1.463610x1.463610x1.46x6.011%6.01%8.798%8.80%25-1.000000x-1.000000x1.414541x1.414541x1.41x2.358%2.36%3.335%3.34%26-1.000000x-1.000000x1.412175x1.412175x1.41x6.483%6.48%9.155%9.16%27-1.000000x-1.000000x1.410206x1.410206x1.41x5.161%5.16%7.278%7.28%28-1.000000x-1.000000x1.401832x1.401832x1.40x4.482%4.48%6.283%6.28%29-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%-1.000000x-1.000000x1.396942x1.396942x1.40x4.893%4.89%6.835%6.83%-1.000000x-1.000000x1.390301x1.390301x1.39x7.949%7.95%11.052%11.1%30-1.000000x-1.000000x1.279310x1.279310x1.28x1.078%1.08%1.379%1.38%31-1.000000x-1.000000x1.277470x1.277470x1.28x2.723%2.72%3.478%3.48%32-1.000000x-1.000000x1.247188x1.247188x1.25x6.842%6.84%8.533%8.53%33-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127663x1.127663x1.13x5.826%5.83%6.570%6.57%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.087297x1.087297x1.09x1.827%1.83%1.987%1.99%34-1.003846x-1.003846x1.00x1.000000x1.000000x5.000%5.00%4.981%4.98%35-1.011771x-1.011771x1.01x1.000000x1.000000x9.791%9.79%9.677%9.68%36-1.032780x-1.032780x1.03x1.000000x1.000000x12.465%12.5%12.069%12.1%37-1.035789x-1.035789x1.04x1.000000x1.000000x8.000%8.00%7.724%7.72%38-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%39-1.069179x-1.069179x1.07x1.000000x1.000000x4.401%4.40%4.116%4.12%40-1.077626x-1.077626x1.08x1.000000x1.000000x3.653%3.65%3.390%3.39%41-1.239849x-1.239849x1.24x1.000000x1.000000x10.441%10.4%8.421%8.42%42-1.263741x-1.263741x1.26x1.000000x1.000000x5.543%5.54%4.386%4.39%43-1.395275x-1.395275x1.40x1.000000x1.000000x21.839%21.8%15.652%15.7%44-1.464862x-1.464862x1.46x1.000000x1.000000x9.972%9.97%6.807%6.81%45-1.679365x-1.679365x1.68x1.000000x1.000000x8.519%8.52%5.072%5.07%46-1.757212x-1.757212x1.76x1.000000x1.000000x17.917%17.9%10.196%10.2%47-1.840826x-1.840826x1.84x1.000000x1.000000x5.118%5.12%2.781%2.78%48-2.022434x-2.022434x2.02x1.000000x1.000000x5.778%5.78%2.857%2.86%49-3.672953x-3.672953x3.67x1.000000x1.000000x7.328%7.33%1.995%2.00%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares the Watopa Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Watopa Township. The least populous of the compared county subdivisions has a population of 22,226.

No H.S. Diploma by County Subdivision#19

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Watopa Township, selected other county subdivisions in Minnesota, and entities that contain the Watopa Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleWabasha CountyWabashaDuluthRochesterBurnsvilleRochester Metro AreaRochesterHastings490200Tract 490200MankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieWatopa TownshipWatopaShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.174633%9.174633%9.2%1,278,0511.28M7.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.811536%6.811536%6.8%1,0256.456536%6.456536%6.5%3,427196.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.187739%6.187739%6.2%8,9016.110006%6.110006%6.1%952225.889724%5.889724%5.9%1415.855251%5.855251%5.9%1,220235.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.205128%3.205128%3.2%53.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
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#20

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Watopa Township, selected other county subdivisions in Minnesota, and entities that contain the Watopa Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoRochester Metro AreaRochesterFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyCoon RapidsWatopa TownshipWatopaAustinWabasha CountyWabashaBrooklyn CenterBrooklyn CtrFaribault490200Tract 49020068.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k754.601451%54.601451%54.6%10,46010.5k850.665018%50.665018%50.7%23,35123.4k950.398824%50.398824%50.4%22,62022.6k1048.278766%48.278766%48.3%18,34418.3k1147.670489%47.670489%47.7%127,663128k1247.267635%47.267635%47.3%7,2571346.445382%46.445382%46.4%11,44611.4k1445.472261%45.472261%45.5%7,4671544.248557%44.248557%44.2%7,1281644.076986%44.076986%44.1%6,5041743.718250%43.718250%43.7%32,70332.7k1843.384056%43.384056%43.4%14,79714.8k1943.102990%43.102990%43.1%8,1152040.791530%40.791530%40.8%25,58225.6k2139.969357%39.969357%40.0%74,08874.1k2238.511617%38.511617%38.5%15,91315.9k2337.561317%37.561317%37.6%5,8962437.153999%37.153999%37.2%8,7652536.544602%36.544602%36.5%9,2712636.468898%36.468898%36.5%8,8822736.144174%36.144174%36.1%7,5312835.991908%35.991908%36.0%51,77451.8k35.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4129.150757%29.150757%29.2%8,8564228.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534328.059816%28.059816%28.1%4,3724427.682104%27.682104%27.7%4,7584527.190136%27.190136%27.2%5,0284625.993543%25.993543%26.0%11,19111.2k4725.000000%25.000000%25.0%3921.410083%21.410083%21.4%3,4744821.238703%21.238703%21.2%3,19620.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,0115016.248956%16.248956%16.2%389
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#21

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 Watopa Township, selected other county subdivisions in Minnesota, and entities that contain the Watopa Township
0%2%4%6%8%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisRochester Metro AreaRochesterSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvillePrior LakeRosemountFridleyShakopeeRichfieldSavageWabasha CountyWabashaOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonElk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastings490200Tract 490200Watopa TownshipWatopa11.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.925658%5.925658%5.9%8,5245.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968232.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,009242.893416%2.893416%2.9%1,311,0191.31M2.884260%2.884260%2.9%468252.874170%2.874170%2.9%463262.692552%2.692552%2.7%466272.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.500485%2.500485%2.5%1,032302.405615%2.405615%2.4%994312.174045%2.174045%2.2%357322.134725%2.134725%2.1%315332.103612%2.103612%2.1%389342.003695%2.003695%2.0%488351.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.774322%1.774322%1.8%2671.769443%1.769443%1.8%334381.727928%1.727928%1.7%283391.673021%1.673021%1.7%825401.653038%1.653038%1.7%376411.638270%1.638270%1.6%275421.605771%1.605771%1.6%276431.558854%1.558854%1.6%314441.510612%1.510612%1.5%242451.509134%1.509134%1.5%209461.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.960735%0.960735%1.0%230.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#22

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 Watopa Township, selected other county subdivisions in Minnesota, and entities that contain the Watopa Township
Female
Male
1x0x1x2xFM#FarmingtonWatopaRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverWabashaSt. Louis PkTract 490200ShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestRochesterPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.578947x1.578947x1.58x2.500%2.50%3.947%3.95%-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.396942x1.396942x1.40x4.893%4.89%6.835%6.83%-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.151611x1.151611x1.15x15.625%15.6%17.994%18.0%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127663x1.127663x1.13x5.826%5.83%6.570%6.57%-1.000000x-1.000000x1.126917x1.126917x1.13x3.416%3.42%3.849%3.85%19-1.000000x-1.000000x1.122496x1.122496x1.12x2.180%2.18%2.448%2.45%20-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101837x1.101837x1.10x2.962%2.96%3.263%3.26%21-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%22-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%23-1.000000x-1.000000x1.078552x1.078552x1.08x7.176%7.18%7.740%7.74%24-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%25-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%26-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%27-1.021534x-1.021534x1.02x1.000000x1.000000x7.996%8.00%7.828%7.83%28-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%29-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%30-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%31-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%32-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%33-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%36-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%37-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%38-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%41-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%42-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%43-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%44-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%45-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%46-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%47-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%48-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%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 Watopa Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Watopa Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#23

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Watopa Township, selected other county subdivisions in the Midwest, and entities that contain the Watopa Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaLincolnWabasha CountyWabashaWashington TownshipWashingtonOlatheRochester Metro AreaRochesterFargoCedar Rapids490200Tract 490200York TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkWatopa TownshipWatopaAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%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%6,695377.739434%7.739434%7.7%7,226387.376055%7.376055%7.4%270,121270k7.092309%7.092309%7.1%11,88611.9k396.811536%6.811536%6.8%1,0256.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.187739%6.187739%6.2%8,9016.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.889724%5.889724%5.9%1415.461095%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%4,282493.205128%3.205128%3.2%53.157717%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#24

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Watopa Township, selected other county subdivisions in the Midwest, and entities that contain the Watopa Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalRochester Metro AreaRochesterColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthWatopa TownshipWatopaMilwaukeeRockford TownshipRockfordWabasha CountyWabashaAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayne490200Tract 490200Kansas 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%28,78028.8k2135.991908%35.991908%36.0%51,77451.8k34.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%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%26,38926.4k3525.000000%25.000000%25.0%3923.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3721.238703%21.238703%21.2%3,19620.213821%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%14,78814.8k4516.248956%16.248956%16.2%38916.167409%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#25

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 Watopa Township, selected other county subdivisions in the Midwest, and entities that contain the Watopa Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleRochester Metro AreaRochesterSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandWabasha CountyWabashaToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue Township490200Tract 490200Aurora TownshipAuroraThornton TownshipThorntonWatopa TownshipWatopa17.877867%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%4,83485.925658%5.925658%5.9%8,5245.920847%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%2,782203.458748%3.458748%3.5%126,664127k3.407574%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%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%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%4,911391.774322%1.774322%1.8%2671.642065%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%1,069480.960735%0.960735%1.0%230.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#26

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 Watopa Township, selected other county subdivisions in the Midwest, and entities that contain the Watopa Township
Female
Male
1x0x1xFM#WatopaWabashaTract 490200Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestRochesterTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.578947x1.578947x1.58x2.500%2.50%3.947%3.95%-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%-1.000000x-1.000000x1.396942x1.396942x1.40x4.893%4.89%6.835%6.83%-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-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-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-1.000000x1.127663x1.127663x1.13x5.826%5.83%6.570%6.57%-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-1.000000x1.099747x1.099747x1.10x10.199%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

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#27

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Watopa Township, selected other county subdivisions in the United States, and entities that contain the Watopa Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleNortheast TarrantNE TarrantMinnesotaWabasha CountyWabashaRochester Metro AreaRochester490200Tract 490200PlanoSeattle EastWatopa TownshipWatopa28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%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%31,44331.4k487.376055%7.376055%7.4%270,121270k6.811536%6.811536%6.8%1,0256.187739%6.187739%6.2%8,9015.889724%5.889724%5.9%1415.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.205128%3.205128%3.2%5
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#28

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Watopa Township, selected other county subdivisions in the United States, and entities that contain the Watopa Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoRochester Metro AreaRochesterColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiWatopa TownshipWatopaFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasWabasha CountyWabashaEl PasoBronxSan Bernardino490200Tract 490200San 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%669,666670k1735.991908%35.991908%36.0%51,77451.8k34.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.240609%34.240609%34.2%1,253,9371.25M34.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%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%178,455178k4025.000000%25.000000%25.0%3924.665414%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%271,037271k4521.238703%21.238703%21.2%3,19621.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4816.248956%16.248956%16.2%38914.929012%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#29

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 Watopa Township, selected other county subdivisions in the United States, and entities that contain the Watopa Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastRochester Metro AreaRochesterDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlWabasha CountyWabashaEl PasoSouthwest DallasSW DallasBronxDetroit490200Tract 490200Watopa TownshipWatopa12.461852%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%24,96825.0k85.925658%5.925658%5.9%8,5245.725842%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%15,21115.2k273.458748%3.458748%3.5%126,664127k3.384967%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%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.774322%1.774322%1.8%2671.745764%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%5,693500.960735%0.960735%1.0%230.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#30

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 Watopa Township, selected other county subdivisions in the United States, and entities that contain the Watopa Township
Female
Male
1x0x1xFM#WatopaWabashaTract 4902001, CharlotteDetroitBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestRochesterFresnoMilwaukeeUnited 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-1.000000x1.578947x1.578947x1.58x2.500%2.50%3.947%3.95%-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%-1.000000x-1.000000x1.396942x1.396942x1.40x4.893%4.89%6.835%6.83%-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-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127663x1.127663x1.13x5.826%5.83%6.570%6.57%-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-1.000000x1.099797x1.099797x1.10x19.814%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

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Minnesota
County:
Wabasha
Metro Area:
Rochester Area
ZIP Codes:
55910, 55945
Unified School Districts:
Plainview-Elgin-Millville, Wabasha-Kellogg
Congressional District:
MN-2
State Senate District:
MN-21
State House District:
MN-21B
Neighboring Townships:
Glasgow, Greenfield, Highland, Minneiska, Mount Vernon, Whitewater
Nearby Towns:
Belvidere
Nearby Townships:
Plainview