Educational Attainment in the Lake 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 Lake Township
Lake Township
Wabasha County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma243.442623%32.416268%43.442623%43.4%15953.005464%60.772196%53.005464%53.0%1943.551913%6.811536%3.551913%3.6%13
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 Lake Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma234.014881%34.014881%+34.0%43.443%43.4%32.416%32.4%-12.780073%-12.780073%-12.8%53.005%53.0%60.772%60.8%-47.854458%-47.854458%-47.9%3.552%3.55%6.812%6.81%
% percentage with given level in the Lake 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 Lake Township
Lake Township
Wabasha County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.744285%00.819672%1.030037%0.819672%0.8%310.382514%4.817916%10.382514%10.4%3822.677596%14.646465%22.677596%22.7%839.562842%11.177565%9.562842%9.6%3521.038251%23.637693%21.038251%21.0%7731.967213%37.134503%31.967213%32.0%1173.005464%4.525518%3.005464%3.0%110.546448%1.847422%0.546448%0.5%20.000000%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 Lake 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%-20.423057%-20.423057%-20.4%0.820%0.82%1.030%1.03%115.498021%115.498021%+115.5%10.383%10.4%4.818%4.82%54.833239%54.833239%+54.8%22.678%22.7%14.646%14.6%-14.446112%-14.446112%-14.4%9.563%9.56%11.178%11.2%-10.997018%-10.997018%-11.0%21.038%21.0%23.638%23.6%-13.915064%-13.915064%-13.9%31.967%32.0%37.135%37.1%-33.588503%-33.588503%-33.6%3.005%3.01%4.526%4.53%-70.421040%-70.421040%-70.4%0.546%0.55%1.847%1.85%-100.000000%-100.000000%-100.0%0.000%0%0.439%0.44%
% percentage with given level in the Lake 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 Lake Township
More Females More Males
Wabasha County
Lake Township
0%500%1,000%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-29.506641%-21.750148%-29.506641%30%48.925%48.9%37.778%37.8%9.929078%6.952576%9.929078%10%50.538%50.5%55.556%55.6%1,000.000000%39.883859%1,000.000000%> 1000%0.538%0.54%6.667%6.67%
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 Lake Township
More Females More Males
Wabasha County
Lake Township
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%165.427688%1,000.000000%> 1000%0.000%0%1.667%1.67%-86.104218%-38.230126%-86.104218%86%13.441%13.4%7.222%7.22%-9.181141%-27.160577%-9.181141%9%23.656%23.7%21.667%21.7%-63.771712%-21.943314%-63.771712%64%11.828%11.8%7.222%7.22%-14.964676%11.711712%11.711712%12%19.892%19.9%22.222%22.2%8.771930%22.021847%8.771930%9%30.645%30.6%33.333%33.3%933.333333%10.970466%933.333333%933%0.538%0.54%5.556%5.56%1,000.000000%106.025878%1,000.000000%> 1000%0.000%0%1.111%1.11%
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 Lake Township
Lake Township
Wabasha County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3418.811881%12.640239%18.811881%18.8%1910123.295455%14.590859%23.295455%23.3%4117631.818182%17.776853%31.818182%31.8%21668.695652%15.035273%8.695652%8.7%223
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 Lake Township
40%20%0%20%40%60%%ref.65+45-6435-4425-3448.825356%48.825356%48.8%18.812%18.8%12.640%12.6%59.657868%59.657868%59.7%23.295%23.3%14.591%14.6%78.986587%78.986587%79.0%31.818%31.8%17.777%17.8%-42.164988%-42.164988%42.2%8.696%8.70%15.035%15.0%
% percentage in the Lake 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 Lake Township
More Females More Males
Wabasha County
Lake Township
1,000%500%0%FM65+45-6435-4425-34-32.850242%-32.850242%32.9%19.769168%21.739%21.7%16.364%16.4%-56.250000%-39.467073%-56.250000%56.3%28.409%28.4%18.182%18.2%-77.837385%155.172414%155.172414%155.2%18.919%18.9%48.276%48.3%-1,000.000000%-27.226043%-1,000.000000%> 1000%13.333%13.3%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 Lake Township
Lake Township
Wabasha County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$55,417.000000$54,492.000000$55,417.000000$55.4k4111.202%11.2%$73,125.000000$51,649.000000$73,125.000000$73.1k8322.678%22.7%$42,500.000000$38,272.000000$42,500.000000$42.5k11230.601%30.6%$28,125.000000$31,770.000000$28,125.000000$28.1k11731.967%32.0%$35,000.000000$22,639.000000$35,000.000000$35.0k133.552%3.55%$48,929.000000$37,953.000000$48,929.000000$48.9k366100.000%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 Lake Township
Female Male
Wabasha County
Lake Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-60,000.000000$-48,625.000000$-60,000.000000$60.0k$60,000.000000$80,625.000000$48,625.000000$8,607.000000$140,625.000000$140.6k4439$-31,875.000000$-32,356.000000$-31,875.000000$31.9k$31,875.000000$15,625.000000$32,356.000000$13,649.000000$47,500.000000$47.5k5953$-26,250.000000$-25,332.000000$-26,250.000000$26.3k$26,250.000000$2,188.000000$25,332.000000$13,145.000000$28,438.000000$28.4k5760$-42,344.000000$-32,016.000000$-42,344.000000$42.3k$42,344.000000$9,114.000000$32,016.000000$10,882.000000$51,458.000000$51.5k186180
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 Lake Township
Lake Township
Wabasha County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma364.356436%89.619520%64.356436%64.4%6591.566265%85.166240%91.566265%91.6%7684.210526%80.214043%84.210526%84.2%64100.000000%59.958932%100.000000%100.0%5
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 Lake Township
Female Male
Wabasha County
Lake Township
Shaded bar tips show excess over facing bar.
4%2%0%2%4%6%MFWhite1-0.564972%-5.639201%-0.564972%0.6%0.564972%6.101695%5.639201%2.142141%6.666667%6.7%121
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 Lake Township
Female Male
Wabasha County
Lake Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1-30.555556%-3.342750%-18.895552%-4.605680%-33.898305%33.9%30.555556%18.895552%30.555556%30.6%5560
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Lake Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
28.2%29.5%30.8%32.1%33.4%34.7%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
56.4%58.0%59.5%61.0%62.5%64.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
5.8%6.5%7.1%7.7%8.3%8.9%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.26%0.44%0.62%0.81%0.99%1.17%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.33%0.48%0.63%0.77%0.92%1.07%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.42%3.69%3.96%4.23%4.50%4.77%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.8%12.9%13.9%14.9%16.0%17.1%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.0%9.5%10.8%12.2%13.6%15.0%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
22.0%22.7%23.4%24.1%24.8%25.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
34.4%35.5%36.6%37.7%38.8%39.9%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
4.07%4.32%4.56%4.81%5.06%5.31%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.00%1.40%1.80%2.20%2.60%3.01%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.19%0.38%0.57%0.76%0.95%
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Educational Attainment by County Subdivision in the Rochester Area

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

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Lake Township, selected other county subdivisions in the Rochester Area, and entities that contain the Lake 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 TownshipConcordWasioja TownshipWasiojaMantorvilleEyotaStewartvilleGillford TownshipGillfordPleasant Grove TownshipPleasant GrvMilton TownshipMiltonZumbro TownshipZumbroDoverKalmar TownshipKalmarHayfieldCascade TownshipCascadeElgin TownshipElginLanesboroMarion TownshipMarionHigh Forest TownshipHigh FrstPlainviewLake TownshipVernon TownshipVernonGreenfield TownshipGreenfieldOronoco TownshipOronocoChatfieldKassonHaverhill 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%26205.722892%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%82373.551913%3.551913%3.6%133.516484%3.516484%3.5%16383.378378%3.378378%3.4%35393.324468%3.324468%3.3%50403.070761%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Lake Township, selected other county subdivisions in the Rochester Area, and entities that contain the Lake Township
0%20%40%60%Count#Rochester TownshipRochesterPine IslandHaverhill TownshipHaverhillCascade TownshipCascadeOronoco TownshipOronocoOronocoRochesterMantorville TownshipMantorvilleByronCanisteo TownshipCanisteoRochester Metro AreaRochesterLanesboroMinnesotaSalem TownshipSalemLake TownshipNew Haven TownshipNew HvnKalmar TownshipKalmarMarion TownshipMarionUnited States of AmericaUnited StatesWest North CentralMidwestGillford TownshipGillfordChatfieldZumbro TownshipZumbroChatfieldHigh Forest TownshipHigh FrstMazeppa TownshipMazeppaStewartvilleVernon TownshipVernonPrestonRushford VillageRushford VlgEyotaKassonMantorvilleElgin TownshipElginWabashaOrion TownshipOrionMilton TownshipMiltonWasioja TownshipWasiojaPleasant Grove TownshipPleasant GrvElginWabasha CountyWabashaConcord TownshipConcordHarmonyPlainviewLake CityRock Dell TownshipRock DellDoverMazeppaHayfieldDodge CenterGreenfield 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%2891233.879781%33.879781%33.9%12432.878412%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%9462724.898512%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%2724416.119691%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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Lake Township, selected other county subdivisions in the Rochester Area, and entities that contain the Lake 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 CityConcord TownshipConcordEyotaVernon TownshipVernonLake TownshipMantorvilleChatfieldStewartvilleWest ConcordRushfordDodge CenterHayfieldMabelGillford TownshipGillfordPlainviewClaremont27.114428%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%33360.936768%0.936768%0.9%4370.913938%0.913938%0.9%12380.879121%0.879121%0.9%4390.819672%0.819672%0.8%30.811908%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%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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Lake Township, selected other county subdivisions in the Rochester Area, and entities that contain the Lake Township
Female
Male
0x5x10xFM#MantorvilleOronocoPine IslandLake TownshipHaverhillElginByronGillfordRock DellZumbroCanisteoLanesboroPrestonSalemStewartvilleEyotaPleasant GrvCascadeOronocoDodge CenterConcordGreenfieldMiltonMazeppaWasiojaElginKassonLake CityRushford VlgMantorvilleWabashaSpring 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-1.000000x10.000000x10.000000x> 10.0x0.538%0.54%6.667%6.67%-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-1.000000x1.545455x1.545455x1.55x4.044%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-1.000000x1.390301x1.390301x1.39x7.949%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

Over-Education Sex Ratio by County Subdivision#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Lake Township, selected other county subdivisions in the Rochester Area, and entities that contain the Lake Township
Female
Male
10x5x0x5x10xFM#Lake TownshipPlainviewChatfieldDoverWest ConcordMabelGillfordSalemRushford VlgKalmarLake CitySpring ValleyLanesboroByronWabashaMiltonNew HvnMarionCanisteoElginRochesterCascadeHarmonyPrestonHaverhillWabashaRochesterRochesterMantorvilleMidwestWest North CentralUnited StatesMinnesotaOronocoRock DellOronocoMazeppaKassonMantorvilleConcordZumbroElginHigh FrstWasiojaPleasant GrvChatfieldEyotaGreenfieldOrionStewartvilleDodge CenterRushfordHayfieldMazeppaPine IslandVernon-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.667%1.67%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.199%0.20%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.739%1.74%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.065%3.07%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.784%0.78%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.862%0.86%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.488%0.49%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.704%0.70%7.363%7.36%7-1.000000x-1.000000x4.414557x4.414557x4.41x0.645%0.65%2.848%2.85%8-1.000000x-1.000000x3.798246x3.798246x3.80x0.693%0.69%2.632%2.63%9-1.000000x-1.000000x3.294246x3.294246x3.29x0.489%0.49%1.612%1.61%10-1.000000x-1.000000x3.120639x3.120639x3.12x1.152%1.15%3.595%3.60%11-1.000000x-1.000000x2.952381x2.952381x2.95x2.258%2.26%6.667%6.67%12-1.000000x-1.000000x2.934378x2.934378x2.93x2.409%2.41%7.069%7.07%13-1.000000x-1.000000x2.701734x2.701734x2.70x2.812%2.81%7.596%7.60%14-1.000000x-1.000000x2.656250x2.656250x2.66x0.735%0.74%1.953%1.95%15-1.000000x-1.000000x2.558621x2.558621x2.56x1.348%1.35%3.448%3.45%16-1.000000x-1.000000x2.461133x2.461133x2.46x1.224%1.22%3.012%3.01%17-1.000000x-1.000000x2.320000x2.320000x2.32x2.155%2.16%5.000%5.00%18-1.000000x-1.000000x2.316327x2.316327x2.32x0.881%0.88%2.041%2.04%19-1.000000x-1.000000x2.198578x2.198578x2.20x16.944%16.9%37.252%37.3%20-1.000000x-1.000000x2.118540x2.118540x2.12x7.551%7.55%15.996%16.0%21-1.000000x-1.000000x2.079386x2.079386x2.08x1.392%1.39%2.895%2.89%22-1.000000x-1.000000x1.786458x1.786458x1.79x0.816%0.82%1.458%1.46%23-1.000000x-1.000000x1.683140x1.683140x1.68x12.090%12.1%20.349%20.3%24-1.000000x-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%-1.000000x-1.000000x1.656189x1.656189x1.66x6.670%6.67%11.046%11.0%25-1.000000x-1.000000x1.652184x1.652184x1.65x4.500%4.50%7.434%7.43%-1.000000x-1.000000x1.644320x1.644320x1.64x3.548%3.55%5.835%5.83%26-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.411765x1.411765x1.41x3.564%3.56%5.031%5.03%27-1.000000x-1.000000x1.387665x1.387665x1.39x1.905%1.90%2.643%2.64%28-1.000000x-1.000000x1.217994x1.217994x1.22x6.533%6.53%7.958%7.96%29-1.000000x-1.000000x1.173913x1.173913x1.17x1.852%1.85%2.174%2.17%30-1.026751x-1.026751x1.03x1.000000x1.000000x1.179%1.18%1.148%1.15%31-1.070028x-1.070028x1.07x1.000000x1.000000x0.840%0.84%0.785%0.79%32-1.113861x-1.113861x1.11x1.000000x1.000000x0.990%0.99%0.889%0.89%33-1.166667x-1.166667x1.17x1.000000x1.000000x7.778%7.78%6.667%6.67%34-1.197892x-1.197892x1.20x1.000000x1.000000x2.459%2.46%2.053%2.05%35-1.262225x-1.262225x1.26x1.000000x1.000000x1.222%1.22%0.969%0.97%36-1.382413x-1.382413x1.38x1.000000x1.000000x1.227%1.23%0.888%0.89%37-1.633075x-1.633075x1.63x1.000000x1.000000x1.550%1.55%0.949%0.95%38-1.691814x-1.691814x1.69x1.000000x1.000000x1.605%1.61%0.949%0.95%39-1.805797x-1.805797x1.81x1.000000x1.000000x1.159%1.16%0.642%0.64%40-2.793149x-2.793149x2.79x1.000000x1.000000x1.581%1.58%0.566%0.57%41-5.904000x-5.904000x5.90x1.000000x1.000000x4.800%4.80%0.813%0.81%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.464%1.46%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.709%0.71%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.712%0.71%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.647%0.65%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.906%3.91%0.000%0%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.075%6.07%0.000%0%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.826%1.83%0.000%0%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 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 Lake Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Lake Township. The least populous of the compared county subdivisions has a population of 22,226.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Lake Township, selected other county subdivisions in Minnesota, and entities that contain the Lake 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 AreaRochesterHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLake TownshipLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple 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%952225.855251%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%526403.551913%3.551913%3.6%133.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Lake Township, selected other county subdivisions in Minnesota, and entities that contain the Lake Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoRochester Metro AreaRochesterFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverLake TownshipWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyCoon RapidsAustinWabasha CountyWabashaBrooklyn CenterBrooklyn CtrFaribault68.687093%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%6,8673333.879781%33.879781%33.9%12433.633790%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%11,19111.2k4721.410083%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%3,01150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Lake Township, selected other county subdivisions in Minnesota, and entities that contain the Lake 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 CtrHastingsLake Township11.352388%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%175500.819672%0.819672%0.8%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Lake Township, selected other county subdivisions in Minnesota, and entities that contain the Lake Township
Female
Male
0x5x10xFM#Lake TownshipFarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverWabashaSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestRochesterPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.538%0.54%6.667%6.67%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-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-1.000000x1.317049x1.317049x1.32x2.784%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

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Lake Township, selected other county subdivisions in Minnesota, and entities that contain the Lake Township
Female
Male
0x5x10xFM#Lake TownshipWinonaWhite Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonWabashaRochesterMoorheadRochesterWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaDuluthSt. Louis PkFaribaultInver Grv HtsEaganBrooklyn CtrSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk River-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.667%1.67%-1.000000x-1.000000x3.549966x3.549966x3.55x1.887%1.89%6.698%6.70%1-1.000000x-1.000000x2.892036x2.892036x2.89x1.445%1.45%4.179%4.18%2-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%3-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%4-1.000000x-1.000000x2.158302x2.158302x2.16x4.894%4.89%10.562%10.6%5-1.000000x-1.000000x2.044267x2.044267x2.04x2.469%2.47%5.048%5.05%6-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%7-1.000000x-1.000000x1.989459x1.989459x1.99x1.358%1.36%2.702%2.70%8-1.000000x-1.000000x1.952817x1.952817x1.95x7.877%7.88%15.382%15.4%9-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%10-1.000000x-1.000000x1.843636x1.843636x1.84x4.554%4.55%8.396%8.40%11-1.000000x-1.000000x1.842122x1.842122x1.84x1.143%1.14%2.106%2.11%12-1.000000x-1.000000x1.831940x1.831940x1.83x2.992%2.99%5.480%5.48%13-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%14-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%15-1.000000x-1.000000x1.816195x1.816195x1.82x2.593%2.59%4.709%4.71%16-1.000000x-1.000000x1.778120x1.778120x1.78x5.399%5.40%9.600%9.60%17-1.000000x-1.000000x1.712068x1.712068x1.71x3.517%3.52%6.021%6.02%18-1.000000x-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%-1.000000x-1.000000x1.656189x1.656189x1.66x6.670%6.67%11.046%11.0%19-1.000000x-1.000000x1.655114x1.655114x1.66x1.942%1.94%3.214%3.21%20-1.000000x-1.000000x1.652184x1.652184x1.65x4.500%4.50%7.434%7.43%-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%5.63%8.987%8.99%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583257x1.583257x1.58x4.465%4.46%7.069%7.07%22-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.559618x1.559618x1.56x5.912%5.91%9.220%9.22%23-1.000000x-1.000000x1.551084x1.551084x1.55x1.481%1.48%2.298%2.30%24-1.000000x-1.000000x1.548982x1.548982x1.55x2.267%2.27%3.511%3.51%25-1.000000x-1.000000x1.544665x1.544665x1.54x2.633%2.63%4.067%4.07%26-1.000000x-1.000000x1.544387x1.544387x1.54x2.283%2.28%3.525%3.53%27-1.000000x-1.000000x1.532997x1.532997x1.53x1.305%1.30%2.000%2.00%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.506415x1.506415x1.51x1.028%1.03%1.548%1.55%29-1.000000x-1.000000x1.492523x1.492523x1.49x1.332%1.33%1.989%1.99%30-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.465286x1.465286x1.47x3.496%3.50%5.123%5.12%31-1.000000x-1.000000x1.442441x1.442441x1.44x4.342%4.34%6.262%6.26%32-1.000000x-1.000000x1.419491x1.419491x1.42x1.234%1.23%1.752%1.75%33-1.000000x-1.000000x1.410631x1.410631x1.41x2.190%2.19%3.089%3.09%34-1.000000x-1.000000x1.383309x1.383309x1.38x3.713%3.71%5.137%5.14%35-1.000000x-1.000000x1.367180x1.367180x1.37x0.959%0.96%1.311%1.31%36-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%37-1.000000x-1.000000x1.248780x1.248780x1.25x1.936%1.94%2.418%2.42%38-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%39-1.000000x-1.000000x1.240291x1.240291x1.24x1.659%1.66%2.058%2.06%40-1.000000x-1.000000x1.220015x1.220015x1.22x1.515%1.52%1.848%1.85%41-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%42-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%43-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%44-1.000000x-1.000000x1.068161x1.068161x1.07x3.397%3.40%3.629%3.63%45-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%46-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%47-1.000000x-1.000000x1.018945x1.018945x1.02x3.110%3.11%3.169%3.17%48-1.019385x-1.019385x1.02x1.000000x1.000000x3.889%3.89%3.815%3.81%49-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%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 Lake Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Lake Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Lake Township, selected other county subdivisions in the Midwest, and entities that contain the Lake 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 RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLake TownshipLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%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%5,099435.461095%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%4,166473.551913%3.551913%3.6%133.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Lake Township, selected other county subdivisions in the Midwest, and entities that contain the Lake 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 AreaRochesterColumbusOmahaMinnesotaLake TownshipCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordWabasha CountyWabashaAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2135.991908%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%1,253,9371.25M33.879781%33.879781%33.9%12433.783048%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%26,38926.4k3523.517740%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%14,78814.8k4516.167409%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#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Lake Township, selected other county subdivisions in the Midwest, and entities that contain the Lake 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 TownshipAurora TownshipAuroraThornton TownshipThorntonLake Township17.877867%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%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.819672%0.819672%0.8%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Lake Township, selected other county subdivisions in the Midwest, and entities that contain the Lake Township
Female
Male
0x5x10xFM#Lake TownshipWabashaCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestRochesterTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.538%0.54%6.667%6.67%-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%-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

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Lake Township, selected other county subdivisions in the Midwest, and entities that contain the Lake Township
Female
Male
0x5x10xFM#Lake TownshipRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheWabashaOmahaRochesterFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.667%1.67%-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-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.652184x1.652184x1.65x4.500%4.50%7.434%7.43%-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-1.000000x1.570028x1.570028x1.57x1.087%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-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Lake Township, selected other county subdivisions in the United States, and entities that contain the Lake 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 AreaRochesterPlanoSeattle EastLake Township28.998944%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%8,9015.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.551913%3.551913%3.6%13
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Lake Township, selected other county subdivisions in the United States, and entities that contain the Lake Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoRochester Metro AreaRochesterColumbusLos AngelesMinnesotaBrooklynLake TownshipSan 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 VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasWabasha CountyWabashaEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1735.991908%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%597,685598k2033.879781%33.879781%33.9%12433.231104%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%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.238703%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%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Lake Township, selected other county subdivisions in the United States, and entities that contain the Lake 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 DallasBronxDetroitLake Township12.461852%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%5,693500.819672%0.819672%0.8%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Lake Township, selected other county subdivisions in the United States, and entities that contain the Lake Township
Female
Male
0x5x10xFM#Lake TownshipWabasha1, 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-1.000000x10.000000x10.000000x> 10.0x0.538%0.54%6.667%6.67%-1.000000x-1.000000x1.398839x1.398839x1.40x5.688%5.69%7.957%7.96%-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

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Lake Township, selected other county subdivisions in the United States, and entities that contain the Lake Township
Female
Male
0x5x10xFM#Lake TownshipEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthWabashaOrlandoPhoenixRochesterTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantMinnesotaTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.667%1.67%-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-1.000000x1.674879x1.674879x1.67x1.330%1.33%2.227%2.23%-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-1.000000x1.652184x1.652184x1.65x4.500%4.50%7.434%7.43%-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-1.000000x1.557664x1.557664x1.56x4.733%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-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Minnesota
County:
Wabasha
Metro Area:
Rochester Area
ZIP Codes:
55041, 55981
Unified School Districts:
Lake City, Wabasha-Kellogg
Congressional District:
MN-2
State Senate District:
MN-21
State House District:
MN-21A
Neighboring Cities:
Lake City
Neighboring Towns:
Pepin, Stockholm
Neighboring Townships:
Florence, Gillford, Glasgow, Mount Pleasant, Pepin, West Albany
Nearby Townships:
Belvidere, Chester, Highland, Hyde Park, Oakwood