Educational Attainment in the Waasa Township, St. Louis County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of St. Louis County and the Waasa Township
Waasa Township
St. Louis County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.441624%39.901496%29.441624%29.4%5860.913706%53.604587%60.913706%60.9%1209.644670%6.493917%9.644670%9.6%19
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 St. Louis County at large.
Scope: population of St. Louis County and the Waasa Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-26.214234%-26.214234%-26.2%29.442%29.4%39.901%39.9%13.635248%13.635248%+13.6%60.914%60.9%53.605%53.6%48.518530%48.518530%+48.5%9.645%9.64%6.494%6.49%
% percentage with given level in the Waasa Township
ref. percentage with given level in St. Louis 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 St. Louis County and the Waasa Township
Waasa Township
St. Louis County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.507614%1.157055%0.507614%0.5%10.000000%0.000000%0.0%1.656927%04.060914%6.352042%4.060914%4.1%89.137056%18.584188%9.137056%9.1%1815.736041%12.151285%15.736041%15.7%3121.319797%24.435623%21.319797%21.3%4239.593909%29.168964%39.593909%39.6%786.598985%4.951667%6.598985%6.6%133.045685%0.986511%3.045685%3.0%60.000000%0.000000%0.0%0.555739%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 St. Louis County at large.
Scope: population of St. Louis County and the Waasa Township
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-56.128781%-56.128781%-56.1%0.508%0.51%1.157%1.16%-100.000000%-100.000000%-100.0%0.000%0%1.657%1.66%-36.069159%-36.069159%-36.1%4.061%4.06%6.352%6.35%-50.834247%-50.834247%-50.8%9.137%9.14%18.584%18.6%29.501046%29.501046%+29.5%15.736%15.7%12.151%12.2%-12.751163%-12.751163%-12.8%21.320%21.3%24.436%24.4%35.739853%35.739853%+35.7%39.594%39.6%29.169%29.2%33.267947%33.267947%+33.3%6.599%6.60%4.952%4.95%208.733083%208.733083%+208.7%3.046%3.05%0.987%0.99%-100.000000%-100.000000%-100.0%0.000%0%0.556%0.56%
% percentage with given level in the Waasa Township
ref. percentage with given level in St. Louis 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 St. Louis County and the Waasa Township
More Females More Males
St. Louis County
Waasa Township
100%0%100%200%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-102.685950%-11.254983%-102.685950%103%40.909%40.9%20.183%20.2%21.100917%7.135139%21.100917%21%54.545%54.5%66.055%66.1%202.752294%8.958316%202.752294%203%4.545%4.55%13.761%13.8%
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 St. Louis County and the Waasa Township
More Females More Males
St. Louis County
Waasa Township
1k%0k%1k%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%35.885465%1,000.000000%> 1000%0.000%0%0.917%0.92%-1,000.000000%-39.738854%-1,000.000000%> 1000%9.091%9.09%0.000%0%-54.829545%-7.354777%-54.829545%0k%11.364%11.4%7.339%7.34%-71.503497%-17.277862%-71.503497%0k%20.455%20.5%11.927%11.9%-36.250000%-36.250000%0k%8.687414%25.000%25.0%18.349%18.3%61.467890%5.852341%61.467890%0k%29.545%29.5%47.706%47.7%81.651376%11.045763%81.651376%0k%4.545%4.55%8.257%8.26%-5.750094%1,000.000000%1,000.000000%> 1000%0.000%0%5.505%5.50%
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 St. Louis County and the Waasa Township
Waasa Township
St. Louis County
0%5%10%15%20%B.X.Total65+45-6435-4425-343.571429%14.058983%3.571429%3.6%25613.043478%18.724156%13.043478%13.0%129214.285714%19.979359%14.285714%14.3%4280.000000%0.000000%0.0%23.660220%021
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 St. Louis County at large.
Scope: population of St. Louis County and the Waasa Township
100%80%60%40%20%0%%ref.65+45-6435-4425-34-74.596821%-74.596821%74.6%3.571%3.57%14.059%14.1%-30.338766%-30.338766%30.3%13.043%13.0%18.724%18.7%-28.497635%-28.497635%28.5%14.286%14.3%19.979%20.0%-100.000000%-100.000000%100.0%0.000%0%23.660%23.7%
% percentage in the Waasa Township with a Bachelor's degree
ref percentage in St. Louis 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 St. Louis County and the Waasa Township
More Females More Males
St. Louis County
Waasa Township
1,000%500%0%FM65+45-6435-44-1,000.000000%-1,000.000000%> 1000%19.454255%9.091%9.09%0.000%0%-13.717867%22.857143%22.857143%22.9%11.628%11.6%14.286%14.3%-160.000000%-25.786689%-160.000000%160.0%20.000%20.0%7.692%7.69%
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 St. Louis County and the Waasa Township
Waasa Township
St. Louis County
$0k$10k$20k$30kCount%Some CollegeH.S. Diploma2No H.S. Diploma2Total$24,583.000000$31,991.000000$24,583.000000$24.6k7337.056%37.1%$16,500.000000$27,191.000000$16,500.000000$16.5k7839.594%39.6%$2,499.000000$19,615.000000$2,499.000000$2.5k199.645%9.64%$24,375.000000$35,517.000000$24,375.000000$24.4k197100.000%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 St. Louis County and the Waasa Township
Female Male
St. Louis County
Waasa Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeTotal$-23,125.000000$-26,341.000000$-23,125.000000$23.1k$23,125.000000$17,500.000000$26,341.000000$15,098.000000$40,625.000000$40.6k4033$-20,250.000000$-29,297.000000$-20,250.000000$20.3k$20,250.000000$20,583.000000$29,297.000000$13,580.000000$40,833.000000$40.8k88109
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 St. Louis County and the Waasa Township
Waasa Township
St. Louis County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma369.565217%84.310954%69.565217%69.6%1678.947368%74.229910%78.947368%78.9%4549.122807%63.877127%49.122807%49.1%2850.000000%46.043324%50.000000%50.0%2
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 St. Louis County and the Waasa Township
Female Male
St. Louis County
Waasa Township
Shaded bar tips show excess over facing bar.
5%0%5%10%MFWhite1-4.705882%-5.555469%-4.705882%4.7%4.705882%9.055586%5.555469%0.462648%13.761468%13.8%154
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 St. Louis County and the Waasa Township
Female Male
St. Louis County
Waasa Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1-8.256881%-10.566649%-27.084679%-2.389267%-18.823529%18.8%8.256881%27.084679%8.256881%8.3%916
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Duluth Area

There are 164 county subdivisions in the Duluth Area. This section compares the Waasa Township to the 50 most populous county subdivisions in the Duluth Area and to those entities that contain or substantially overlap with the Waasa Township. The least populous of the compared county subdivisions has a population of 887.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Waasa Township, selected other county subdivisions in the Duluth Area, and entities that contain the Waasa Township
0%5%10%Count#United States of AmericaUnited StatesBabbittHibbingTown of HawthorneHawthorneMidwestWaasa TownshipWaasaWhite TownshipWhiteMakinenEvelethTown of ParklandParklandMountain IronWest North Central013900Tract 013900Barnum TownshipBarnumCarltonZIP Code 55732ZIP 55732Brevator TownshipBrevatorTown of OaklandOaklandMoose LakeScanlonMinnesotaClinton TownshipClintonSt. Louis County School DistrictSt. Louis CoHoyt LakesPerch Lake TownshipPerch LkSt. Louis CountySt. LouisDuluthSand LakeDuluth Metro AreaDuluth AreaSuperiorVirginiaProctorTown of Solon SpringsSolon SpgsGnesen TownshipGnesenCloquetGreenwood TownshipGreenwoodGrand Lake TownshipGrand LkHermantownLakewood TownshipLakewoodMoose Lake TownshipMoose LkElyBuhlTown of AmniconAmniconLake NebagamonLk NebagamonTwin Lakes TownshipTwin LksChisholmRice LakeSolway TownshipSolwayMidway TownshipMidwayTown of SuperiorSuperiorBiwabikBlackhoof TownshipBlackhoofCanosia TownshipCanosiaFredenberg TownshipFredenbergTown of SummitSummitFayal TownshipFayalGilbertMorse TownshipMorseThomson TownshipThomsonDuluth TownshipDuluth13.020590%13.020590%13.0%27,818,38027.8M11.486486%11.486486%11.5%136110.569327%10.569327%10.6%1,164210.457516%10.457516%10.5%80310.244520%10.244520%10.2%4,641,8354.64M9.644670%9.644670%9.6%199.618644%9.618644%9.6%22749.617021%9.617021%9.6%11359.533552%9.533552%9.5%23369.489051%9.489051%9.5%9179.343936%9.343936%9.3%18889.174633%9.174633%9.2%1,278,0511.28M8.641273%8.641273%8.6%1528.558559%8.558559%8.6%5798.483290%8.483290%8.5%66108.256881%8.256881%8.3%907.955936%7.955936%8.0%65117.777778%7.777778%7.8%70127.705334%7.705334%7.7%182137.701422%7.701422%7.7%65147.376055%7.376055%7.4%270,121270k7.244502%7.244502%7.2%56157.031533%7.031533%7.0%9706.839187%6.839187%6.8%111166.736527%6.736527%6.7%45176.493917%6.493917%6.5%8,8346.456536%6.456536%6.5%3,427186.413994%6.413994%6.4%44196.391349%6.391349%6.4%12,23412.2k6.289585%6.289585%6.3%1,142206.262525%6.262525%6.3%375216.194690%6.194690%6.2%140226.143791%6.143791%6.1%47235.942142%5.942142%5.9%76245.808147%5.808147%5.8%442255.519481%5.519481%5.5%51265.489260%5.489260%5.5%115275.399441%5.399441%5.4%367285.273312%5.273312%5.3%82295.162065%5.162065%5.2%43305.097879%5.097879%5.1%125314.987531%4.987531%5.0%40324.648391%4.648391%4.6%39334.529201%4.529201%4.5%38344.462475%4.462475%4.5%66354.375729%4.375729%4.4%150364.325956%4.325956%4.3%129374.216444%4.216444%4.2%60384.209542%4.209542%4.2%45394.113111%4.113111%4.1%64403.852327%3.852327%3.9%24413.795620%3.795620%3.8%26423.525836%3.525836%3.5%58433.399433%3.399433%3.4%36443.274216%3.274216%3.3%24453.232607%3.232607%3.2%46462.613374%2.613374%2.6%34471.979265%1.979265%2.0%21481.760970%1.760970%1.8%61491.720269%1.720269%1.7%2350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Waasa Township, selected other county subdivisions in the Duluth Area, and entities that contain the Waasa Township
0%10%20%30%40%Count#Lakewood TownshipLakewoodMorse TownshipMorseLake NebagamonLk NebagamonDuluth TownshipDuluthGnesen TownshipGnesenDuluthSand LakeMinnesotaFredenberg TownshipFredenbergFayal TownshipFayalCanosia TownshipCanosiaHermantownTown of AmniconAmniconGreenwood TownshipGreenwoodThomson TownshipThomsonUnited States of AmericaUnited StatesWest North CentralMidwestTown of Solon SpringsSolon SpgsSt. Louis CountySt. LouisDuluth Metro AreaDuluth AreaElyBlackhoof TownshipBlackhoofTwin Lakes TownshipTwin LksMidway TownshipMidwayCloquetBarnum TownshipBarnumGrand Lake TownshipGrand LkMoose Lake TownshipMoose LkEvelethTown of OaklandOaklandProctorSuperiorMountain IronChisholmMakinenBiwabikRice LakeTown of SuperiorSuperiorBrevator TownshipBrevatorPerch Lake TownshipPerch LkTown of ParklandParklandVirginiaSolway TownshipSolwayTown of SummitSummitSt. Louis County School DistrictSt. Louis CoTown of HawthorneHawthorneHibbingClinton TownshipClintonScanlonCarltonHoyt LakesZIP Code 55732ZIP 55732GilbertWhite TownshipWhite013900Tract 013900Waasa TownshipWaasaBuhlMoose LakeBabbitt44.180064%44.180064%44.2%687142.978322%42.978322%43.0%456240.882002%40.882002%40.9%343340.014959%40.014959%40.0%535438.467553%38.467553%38.5%492535.389427%35.389427%35.4%18,78418.8k634.402332%34.402332%34.4%236734.240609%34.240609%34.2%1,253,9371.25M33.616619%33.616619%33.6%356833.099086%33.099086%33.1%471932.948328%32.948328%32.9%5421032.396646%32.396646%32.4%2,2021131.346841%31.346841%31.3%2631230.735931%30.735931%30.7%2841330.484988%30.484988%30.5%1,0561430.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.758170%28.758170%28.8%2201527.750211%27.750211%27.8%37,75037.8k26.209545%26.209545%26.2%50,16950.2k26.141925%26.141925%26.1%6411626.131387%26.131387%26.1%1791725.693036%25.693036%25.7%3801825.350795%25.350795%25.4%2711925.085414%25.085414%25.1%1,9092024.924925%24.924925%24.9%1662124.821002%24.821002%24.8%5202224.369748%24.369748%24.4%2032324.345336%24.345336%24.3%5952424.111111%24.111111%24.1%2172522.699115%22.699115%22.7%5132622.415597%22.415597%22.4%4,0702721.769384%21.769384%21.8%4382821.586931%21.586931%21.6%7402920.936170%20.936170%20.9%2463020.545746%20.545746%20.5%1283119.986586%19.986586%20.0%5963219.922879%19.922879%19.9%3103319.706242%19.706242%19.7%1613419.610778%19.610778%19.6%1313519.186653%19.186653%19.2%1843618.904476%18.904476%18.9%1,1323718.341532%18.341532%18.3%2613818.144611%18.144611%18.1%1333918.064516%18.064516%18.1%2,49217.777778%17.777778%17.8%1364017.697267%17.697267%17.7%1,9494117.464424%17.464424%17.5%1354217.180095%17.180095%17.2%1454316.709512%16.709512%16.7%1304415.403574%15.403574%15.4%2504514.770642%14.770642%14.8%16114.066103%14.066103%14.1%1834613.855932%13.855932%13.9%3274713.757817%13.757817%13.8%24213.705584%13.705584%13.7%2712.967581%12.967581%13.0%1044812.150720%12.150720%12.2%287499.628378%9.628378%9.6%11450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Waasa Township, selected other county subdivisions in the Duluth Area, and entities that contain the Waasa Township
0%2%4%6%8%Count#Duluth TownshipDuluthGnesen TownshipGnesenLakewood TownshipLakewoodMorse TownshipMorseDuluthCanosia TownshipCanosiaFredenberg TownshipFredenbergHermantownMidway TownshipMidwayMinnesotaBarnum TownshipBarnumGrand Lake TownshipGrand LkUnited States of AmericaUnited StatesTown of OaklandOaklandFayal TownshipFayalWest North CentralMidwestLake NebagamonLk NebagamonSt. Louis CountySt. LouisDuluth Metro AreaDuluth AreaTown of Solon SpringsSolon SpgsBiwabikMoose Lake TownshipMoose LkGreenwood TownshipGreenwoodTown of ParklandParklandThomson TownshipThomsonPerch Lake TownshipPerch LkRice LakeSuperiorElySand LakeTown of HawthorneHawthorneProctorMountain IronCloquetVirginiaHibbingHoyt LakesEvelethTwin Lakes TownshipTwin LksSt. Louis County School DistrictSt. Louis CoSolway TownshipSolwayTown of SuperiorSuperiorTown of AmniconAmniconZIP Code 55732ZIP 55732Blackhoof TownshipBlackhoofGilbertMakinenBrevator TownshipBrevatorWaasa TownshipWaasaWhite TownshipWhiteClinton TownshipClintonMoose LakeCarlton013900Tract 013900ChisholmBabbittScanlonBuhlTown of SummitSummit8.526552%8.526552%8.5%11416.333073%6.333073%6.3%8125.787781%5.787781%5.8%9034.901037%4.901037%4.9%5244.278609%4.278609%4.3%2,27153.829787%3.829787%3.8%6363.682720%3.682720%3.7%3973.545682%3.545682%3.5%24183.461179%3.461179%3.5%3793.458748%3.458748%3.5%126,664127k3.453453%3.453453%3.5%23103.436754%3.436754%3.4%72113.336158%3.336158%3.3%7,127,6737.13M3.222222%3.222222%3.2%29123.092059%3.092059%3.1%44132.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.860548%2.860548%2.9%24142.813982%2.813982%2.8%3,8282.399498%2.399498%2.4%4,5932.352941%2.352941%2.4%18152.086677%2.086677%2.1%13162.040816%2.040816%2.0%17171.948052%1.948052%1.9%18181.876955%1.876955%1.9%18191.876443%1.876443%1.9%65201.796407%1.796407%1.8%12211.542589%1.542589%1.5%46221.525582%1.525582%1.5%277231.508972%1.508972%1.5%37241.457726%1.457726%1.5%10251.437908%1.437908%1.4%11261.415929%1.415929%1.4%32271.391650%1.391650%1.4%28281.353482%1.353482%1.4%103291.169005%1.169005%1.2%70301.135022%1.135022%1.1%125311.109057%1.109057%1.1%18321.063830%1.063830%1.1%26331.014199%1.014199%1.0%15341.007611%1.007611%1.0%1390.983837%0.983837%1.0%14350.964010%0.964010%1.0%15360.953516%0.953516%1.0%8370.917431%0.917431%0.9%100.875912%0.875912%0.9%6380.845503%0.845503%0.8%11390.680851%0.680851%0.7%8400.611995%0.611995%0.6%5410.507614%0.507614%0.5%10.423729%0.423729%0.4%10420.388098%0.388098%0.4%3430.338696%0.338696%0.3%8440.257069%0.257069%0.3%2450.227402%0.227402%0.2%40.029172%0.029172%0.0%1460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Waasa Township, selected other county subdivisions in the Duluth Area, and entities that contain the Waasa Township
Female
Male
10x5x0x5x10xFM#ThomsonSand LakeMidwayMorseFayalWaasaLk NebagamonMoose LakeSummitDuluthSuperiorCanosiaFredenbergClintonVirginiaBarnumGnesenBabbittMoose LkMakinenHawthorneTwin LksSt. Louis CoSolwayRice LakeSuperiorProctorDuluthBiwabikGrand LkGreenwoodZIP 55732Duluth AreaWest North CentralMinnesotaMidwestUnited StatesSt. LouisCarltonCloquetOaklandBuhlHermantownEvelethTract 013900Solon SpgsScanlonParklandBrevatorAmniconBlackhoofHibbingChisholmLakewoodWhiteElyMountain IronHoyt LakesPerch LkGilbert-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.559%3.56%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.139%11.1%2-1.000000x-1.000000x5.733275x5.733275x5.73x1.198%1.20%6.866%6.87%3-1.000000x-1.000000x5.090592x5.090592x5.09x0.616%0.62%3.136%3.14%4-1.000000x-1.000000x4.396482x4.396482x4.40x1.170%1.17%5.142%5.14%5-1.000000x-1.000000x3.027523x3.027523x3.03x4.545%4.55%13.761%13.8%-1.000000x-1.000000x2.727529x2.727529x2.73x2.415%2.42%6.588%6.59%6-1.000000x-1.000000x2.683824x2.683824x2.68x3.562%3.56%9.559%9.56%7-1.000000x-1.000000x2.628653x2.628653x2.63x1.837%1.84%4.830%4.83%8-1.000000x-1.000000x2.282298x2.282298x2.28x1.048%1.05%2.392%2.39%9-1.000000x-1.000000x2.100503x2.100503x2.10x2.632%2.63%5.528%5.53%10-1.000000x-1.000000x1.989247x1.989247x1.99x2.317%2.32%4.608%4.61%11-1.000000x-1.000000x1.905777x1.905777x1.91x2.277%2.28%4.340%4.34%12-1.000000x-1.000000x1.593659x1.593659x1.59x5.510%5.51%8.780%8.78%13-1.000000x-1.000000x1.484821x1.484821x1.48x5.107%5.11%7.582%7.58%14-1.000000x-1.000000x1.453762x1.453762x1.45x6.918%6.92%10.057%10.1%15-1.000000x-1.000000x1.449345x1.449345x1.45x4.851%4.85%7.031%7.03%16-1.000000x-1.000000x1.428619x1.428619x1.43x9.434%9.43%13.478%13.5%17-1.000000x-1.000000x1.393939x1.393939x1.39x4.348%4.35%6.061%6.06%18-1.000000x-1.000000x1.393926x1.393926x1.39x8.054%8.05%11.226%11.2%19-1.000000x-1.000000x1.385154x1.385154x1.39x8.786%8.79%12.169%12.2%20-1.000000x-1.000000x1.385136x1.385136x1.39x3.729%3.73%5.166%5.17%21-1.000000x-1.000000x1.336718x1.336718x1.34x5.985%5.99%8.001%8.00%-1.000000x-1.000000x1.323413x1.323413x1.32x3.598%3.60%4.762%4.76%22-1.000000x-1.000000x1.288336x1.288336x1.29x3.763%3.76%4.848%4.85%23-1.000000x-1.000000x1.278895x1.278895x1.28x5.545%5.54%7.091%7.09%24-1.000000x-1.000000x1.249189x1.249189x1.25x5.506%5.51%6.878%6.88%25-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%26-1.000000x-1.000000x1.235045x1.235045x1.24x3.425%3.42%4.230%4.23%27-1.000000x-1.000000x1.226087x1.226087x1.23x4.891%4.89%5.996%6.00%28-1.000000x-1.000000x1.214043x1.214043x1.21x4.966%4.97%6.029%6.03%29-1.000000x-1.000000x1.148314x1.148314x1.15x7.629%7.63%8.760%8.76%-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%5.96%6.826%6.83%-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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.089583x1.089583x1.09x6.217%6.22%6.774%6.77%-1.000000x-1.000000x1.036649x1.036649x1.04x8.333%8.33%8.639%8.64%30-1.000000x-1.000000x1.018960x1.018960x1.02x5.756%5.76%5.865%5.86%31-1.064220x-1.064220x1.06x1.000000x1.000000x8.028%8.03%7.543%7.54%32-1.078040x-1.078040x1.08x1.000000x1.000000x5.172%5.17%4.798%4.80%33-1.078221x-1.078221x1.08x1.000000x1.000000x5.625%5.63%5.217%5.22%34-1.124637x-1.124637x1.12x1.000000x1.000000x10.054%10.1%8.940%8.94%35-1.138566x-1.138566x1.14x1.000000x1.000000x9.248%9.25%8.122%8.12%-1.144565x-1.144565x1.14x1.000000x1.000000x6.522%6.52%5.698%5.70%36-1.173618x-1.173618x1.17x1.000000x1.000000x8.277%8.28%7.053%7.05%37-1.203743x-1.203743x1.20x1.000000x1.000000x10.381%10.4%8.624%8.62%38-1.269034x-1.269034x1.27x1.000000x1.000000x8.911%8.91%7.022%7.02%39-1.322183x-1.322183x1.32x1.000000x1.000000x5.301%5.30%4.009%4.01%40-1.338558x-1.338558x1.34x1.000000x1.000000x4.389%4.39%3.279%3.28%41-1.391439x-1.391439x1.39x1.000000x1.000000x12.219%12.2%8.781%8.78%42-1.569548x-1.569548x1.57x1.000000x1.000000x5.290%5.29%3.370%3.37%43-1.602475x-1.602475x1.60x1.000000x1.000000x6.436%6.44%4.016%4.02%44-1.634583x-1.634583x1.63x1.000000x1.000000x12.039%12.0%7.365%7.36%45-1.970142x-1.970142x1.97x1.000000x1.000000x6.641%6.64%3.371%3.37%46-2.054244x-2.054244x2.05x1.000000x1.000000x12.488%12.5%6.079%6.08%47-2.254260x-2.254260x2.25x1.000000x1.000000x9.699%9.70%4.302%4.30%48-2.295820x-2.295820x2.30x1.000000x1.000000x9.646%9.65%4.202%4.20%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.699%4.70%0.323%0.32%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Waasa Township, selected other county subdivisions in the Duluth Area, and entities that contain the Waasa Township
Female
Male
10x5x0x5x10xFM#WaasaChisholmMountain IronHoyt LakesMakinenCarltonBlackhoofSand LakeLk NebagamonMoose LkHibbingFayalVirginiaFredenbergEvelethParklandDuluthGreenwoodGnesenMorseAmniconMidwestSolwayWest North CentralUnited StatesSuperiorSt. LouisMinnesotaSolon SpgsDuluthRice LakeDuluth AreaMidwaySt. Louis CoZIP 55732BarnumElyHermantownBiwabikOaklandLakewoodPerch LkGrand LkBrevatorTwin LksSuperiorCanosiaGilbertWhiteHawthorneCloquetThomsonTract 013900ProctorMoose LakeClinton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.917%0.92%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.061%0.06%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.837%2.84%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.093%2.09%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.382%1.38%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.524%0.52%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.639%1.64%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.532%2.53%7-1.000000x-1.000000x6.818824x6.818824x6.82x0.725%0.72%4.941%4.94%8-1.000000x-1.000000x5.149832x5.149832x5.15x0.686%0.69%3.535%3.54%9-1.000000x-1.000000x4.562744x4.562744x4.56x0.419%0.42%1.911%1.91%10-1.000000x-1.000000x3.599459x3.599459x3.60x1.316%1.32%4.736%4.74%11-1.000000x-1.000000x3.064378x3.064378x3.06x0.595%0.60%1.824%1.82%12-1.000000x-1.000000x2.795139x2.795139x2.80x1.863%1.86%5.208%5.21%13-1.000000x-1.000000x2.569457x2.569457x2.57x0.614%0.61%1.578%1.58%14-1.000000x-1.000000x2.519918x2.519918x2.52x1.059%1.06%2.669%2.67%15-1.000000x-1.000000x2.077970x2.077970x2.08x5.539%5.54%11.510%11.5%16-1.000000x-1.000000x1.841996x1.841996x1.84x1.354%1.35%2.495%2.49%17-1.000000x-1.000000x1.790302x1.790302x1.79x4.538%4.54%8.125%8.13%18-1.000000x-1.000000x1.746772x1.746772x1.75x3.491%3.49%6.098%6.10%19-1.000000x-1.000000x1.631289x1.631289x1.63x0.723%0.72%1.179%1.18%20-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.588095x1.588095x1.59x0.750%0.75%1.190%1.19%21-1.000000x-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-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%22-1.000000x-1.000000x1.487208x1.487208x1.49x2.265%2.26%3.368%3.37%-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%2.80%4.144%4.14%-1.000000x-1.000000x1.474359x1.474359x1.47x1.932%1.93%2.849%2.85%23-1.000000x-1.000000x1.465286x1.465286x1.47x3.496%3.50%5.123%5.12%24-1.000000x-1.000000x1.442936x1.442936x1.44x1.254%1.25%1.810%1.81%25-1.000000x-1.000000x1.401612x1.401612x1.40x1.999%2.00%2.801%2.80%-1.000000x-1.000000x1.293662x1.293662x1.29x2.994%2.99%3.873%3.87%26-1.000000x-1.000000x1.255780x1.255780x1.26x0.889%0.89%1.117%1.12%-1.000000x-1.000000x1.202479x1.202479x1.20x0.825%0.82%0.992%0.99%-1.000000x-1.000000x1.187931x1.187931x1.19x3.145%3.14%3.736%3.74%27-1.000000x-1.000000x1.181456x1.181456x1.18x1.390%1.39%1.642%1.64%28-1.000000x-1.000000x1.030529x1.030529x1.03x3.487%3.49%3.593%3.59%29-1.000000x-1.000000x1.029204x1.029204x1.03x2.055%2.05%2.115%2.11%30-1.000000x-1.000000x1.006773x1.006773x1.01x3.211%3.21%3.233%3.23%31-1.104896x-1.104896x1.10x1.000000x1.000000x6.064%6.06%5.489%5.49%32-1.147910x-1.147910x1.15x1.000000x1.000000x1.929%1.93%1.681%1.68%33-1.394570x-1.394570x1.39x1.000000x1.000000x4.058%4.06%2.910%2.91%34-1.533416x-1.533416x1.53x1.000000x1.000000x0.743%0.74%0.484%0.48%35-1.564227x-1.564227x1.56x1.000000x1.000000x1.243%1.24%0.795%0.79%36-1.571053x-1.571053x1.57x1.000000x1.000000x1.184%1.18%0.754%0.75%37-1.589744x-1.589744x1.59x1.000000x1.000000x4.762%4.76%2.995%3.00%38-1.593245x-1.593245x1.59x1.000000x1.000000x1.028%1.03%0.645%0.65%39-2.505565x-2.505565x2.51x1.000000x1.000000x0.615%0.62%0.245%0.25%40-2.604651x-2.604651x2.60x1.000000x1.000000x2.067%2.07%0.794%0.79%41-2.900081x-2.900081x2.90x1.000000x1.000000x1.978%1.98%0.682%0.68%42-3.264762x-3.264762x3.26x1.000000x1.000000x2.857%2.86%0.875%0.88%43-3.506782x-3.506782x3.51x1.000000x1.000000x0.370%0.37%0.105%0.11%-4.364121x-4.364121x4.36x1.000000x1.000000x2.309%2.31%0.529%0.53%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.096%1.10%0.000%0%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.826%0.83%0.000%0%46
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 46 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 Waasa Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Waasa Township. The least populous of the compared county subdivisions has a population of 22,226.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Waasa Township, selected other county subdivisions in Minnesota, and entities that contain the Waasa Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWaasa TownshipWaasaWest North Central013900Tract 013900ZIP Code 55732ZIP 55732WinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaSt. Louis County School DistrictSt. Louis CoCoon RapidsRosevilleSt. Louis CountySt. LouisDuluthDuluth Metro AreaDuluth AreaRochesterBurnsvilleHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden 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%1,81189.644670%9.644670%9.6%199.174633%9.174633%9.2%1,278,0511.28M8.641273%8.641273%8.6%1528.256881%8.256881%8.3%907.914094%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%1,237167.031533%7.031533%7.0%9707.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.493917%6.493917%6.5%8,8346.456536%6.456536%6.5%3,427196.391349%6.391349%6.4%12,23412.2k6.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%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%526403.487209%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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Waasa Township, selected other county subdivisions in Minnesota, and entities that contain the Waasa Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsSt. Louis CountySt. LouisOwatonnaFridleyDuluth Metro AreaDuluth AreaCoon RapidsAustinBrooklyn CenterBrooklyn CtrFaribaultSt. Louis County School DistrictSt. Louis CoZIP Code 55732ZIP 55732013900Tract 013900Waasa TownshipWaasa68.687093%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%7,5312835.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4129.150757%29.150757%29.2%8,8564228.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534328.059816%28.059816%28.1%4,3724427.750211%27.750211%27.8%37,75037.8k27.682104%27.682104%27.7%4,7584527.190136%27.190136%27.2%5,0284626.209545%26.209545%26.2%50,16950.2k25.993543%25.993543%26.0%11,19111.2k4721.410083%21.410083%21.4%3,4744820.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,0115018.064516%18.064516%18.1%2,49214.770642%14.770642%14.8%16113.757817%13.757817%13.8%24213.705584%13.705584%13.7%27
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Waasa Township, selected other county subdivisions in Minnesota, and entities that contain the Waasa Township
0%5%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaSt. Louis CountySt. LouisWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvilleDuluth Metro AreaDuluth AreaPrior LakeRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonElk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastingsSt. Louis County School DistrictSt. Louis CoZIP Code 55732ZIP 55732Waasa TownshipWaasa013900Tract 01390011.352388%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%16,71416.7k85.920847%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%463262.813982%2.813982%2.8%3,8282.692552%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%994312.399498%2.399498%2.4%4,5932.174045%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%350371.769443%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%175501.007611%1.007611%1.0%1390.917431%0.917431%0.9%100.507614%0.507614%0.5%10.227402%0.227402%0.2%4
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Waasa Township, selected other county subdivisions in Minnesota, and entities that contain the Waasa Township
Female
Male
1x0x1x2x3xFM#WaasaFarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkSt. Louis CoShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultZIP 55732Duluth AreaWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinSt. LouisBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudTract 013900WoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x3.027523x3.027523x3.03x4.545%4.55%13.761%13.8%-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-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.336718x1.336718x1.34x5.985%5.99%8.001%8.00%-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-1.000000x1.148314x1.148314x1.15x7.629%7.63%8.760%8.76%-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%5.96%6.826%6.83%-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-1.000000x1.126917x1.126917x1.13x3.416%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-1.000000x1.089583x1.089583x1.09x6.217%6.22%6.774%6.77%-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%40-1.138566x-1.138566x1.14x1.000000x1.000000x9.248%9.25%8.122%8.12%-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#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Waasa Township, selected other county subdivisions in Minnesota, and entities that contain the Waasa Township
Female
Male
0x5x10xFM#WaasaWinonaWhite Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveSt. LouisMinnesotaDuluthSt. Louis PkFaribaultInver Grv HtsDuluth AreaEaganBrooklyn CtrSt. PaulSt. Louis CoPrior LakeFarmingtonSavageBrooklyn ParkZIP 55732LakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk RiverTract 013900-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.917%0.92%-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-1.000000x1.656189x1.656189x1.66x6.670%6.67%11.046%11.0%19-1.000000x-1.000000x1.655114x1.655114x1.66x1.942%1.94%3.214%3.21%20-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%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-1.000000x1.487208x1.487208x1.49x2.265%2.26%3.368%3.37%-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-1.000000x1.401612x1.401612x1.40x1.999%2.00%2.801%2.80%-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-1.000000x1.255780x1.255780x1.26x0.889%0.89%1.117%1.12%-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-1.000000x1.202479x1.202479x1.20x0.825%0.82%0.992%0.99%-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%50-3.506782x-3.506782x3.51x1.000000x1.000000x0.370%0.37%0.105%0.11%
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 Waasa Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Waasa Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Waasa Township, selected other county subdivisions in the Midwest, and entities that contain the Waasa 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 FallsWaasa TownshipWaasaWest North Central013900Tract 013900Capital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineZIP Code 55732ZIP 55732Schaumburg TownshipSchaumburgMinnesotaLincolnSt. Louis County School DistrictSt. Louis CoWashington TownshipWashingtonSt. Louis CountySt. LouisOlatheDuluth Metro AreaDuluth AreaFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%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%9,123349.644670%9.644670%9.6%199.174633%9.174633%9.2%1,278,0511.28M8.641273%8.641273%8.6%1528.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695378.256881%8.256881%8.3%907.739434%7.739434%7.7%7,226387.376055%7.376055%7.4%270,121270k7.092309%7.092309%7.1%11,88611.9k397.031533%7.031533%7.0%9706.804680%6.804680%6.8%6,403406.493917%6.493917%6.5%8,8346.424130%6.424130%6.4%5,331416.391349%6.391349%6.4%12,23412.2k6.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Waasa Township, selected other county subdivisions in the Midwest, and entities that contain the Waasa Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSt. Louis CountySt. LouisSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoDuluth Metro AreaDuluth AreaWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonSt. Louis County School DistrictSt. Louis CoToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipZIP Code 55732ZIP 55732Detroit013900Tract 013900Waasa TownshipWaasa72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.750211%27.750211%27.8%37,75037.8k27.532180%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%27,03327.0k3426.209545%26.209545%26.2%50,16950.2k25.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.064516%18.064516%18.1%2,49218.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4914.770642%14.770642%14.8%16113.833543%13.833543%13.8%59,72359.7k5013.757817%13.757817%13.8%24213.705584%13.705584%13.7%27
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Waasa Township, selected other county subdivisions in the Midwest, and entities that contain the Waasa Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheSt. Louis CountySt. LouisCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaDuluth Metro AreaDuluth AreaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenSt. Louis County School DistrictSt. Louis CoBlue TownshipAurora TownshipAuroraZIP Code 55732ZIP 55732Thornton TownshipThorntonWaasa TownshipWaasa013900Tract 01390017.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.458748%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%2,349292.813982%2.813982%2.8%3,8282.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.399498%2.399498%2.4%4,5932.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963471.007611%1.007611%1.0%1390.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.917431%0.917431%0.9%100.876686%0.876686%0.9%971500.507614%0.507614%0.5%10.227402%0.227402%0.2%4
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Waasa Township, selected other county subdivisions in the Midwest, and entities that contain the Waasa Township
Female
Male
1x0x1x2x3xFM#WaasaSt. Louis CoCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipZIP 55732Duluth AreaWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkSt. LouisAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsTract 013900Downers GrvMiltonMaine-1.000000x-1.000000x3.027523x3.027523x3.03x4.545%4.55%13.761%13.8%-1.000000x-1.000000x1.336718x1.336718x1.34x5.985%5.99%8.001%8.00%-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-1.000000x1.148314x1.148314x1.15x7.629%7.63%8.760%8.76%-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%5.96%6.826%6.83%-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-1.000000x1.125507x1.125507x1.13x10.423%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-1.000000x1.089583x1.089583x1.09x6.217%6.22%6.774%6.77%-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%47-1.138566x-1.138566x1.14x1.000000x1.000000x9.248%9.25%8.122%8.12%-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#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Waasa Township, selected other county subdivisions in the Midwest, and entities that contain the Waasa Township
Female
Male
0x5x10xFM#WaasaRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborSt. LouisTopekaMinnesotaSterling HtsPalatineSchaumburgColumbusDuluth AreaMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisSt. Louis CoChicagoWayneCtrZIP 55732ToledoMinneapolisWorthDetroitProvisoThorntonTract 013900-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.917%0.92%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%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-1.000000x1.487208x1.487208x1.49x2.265%2.26%3.368%3.37%-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-1.000000x1.401612x1.401612x1.40x1.999%2.00%2.801%2.80%-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-1.000000x1.255780x1.255780x1.26x0.889%0.89%1.117%1.12%-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-1.000000x1.202479x1.202479x1.20x0.825%0.82%0.992%0.99%-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%50-3.506782x-3.506782x3.51x1.000000x1.000000x0.370%0.37%0.105%0.11%
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 Waasa Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Waasa Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Waasa Township, selected other county subdivisions in the United States, and entities that contain the Waasa 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 HarrisWashingtonWaasa TownshipWaasaAtlantaWest North CentralSeattle013900Tract 013900Northeast TarrantNE TarrantZIP Code 55732ZIP 55732MinnesotaSt. Louis County School DistrictSt. Louis CoSt. Louis CountySt. LouisDuluth Metro AreaDuluth AreaPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%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%46,51046.5k459.644670%9.644670%9.6%199.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.641273%8.641273%8.6%1528.418271%8.418271%8.4%31,44331.4k488.256881%8.256881%8.3%907.376055%7.376055%7.4%270,121270k7.031533%7.031533%7.0%9706.493917%6.493917%6.5%8,8346.391349%6.391349%6.4%12,23412.2k5.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Waasa Township, selected other county subdivisions in the United States, and entities that contain the Waasa Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesMinnesotaBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoSt. Louis CountySt. LouisEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaDuluth Metro AreaDuluth AreaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSt. Louis County School DistrictSt. Louis CoSan BernardinoSan Antonio CentralSan Antonio CntrlZIP Code 55732ZIP 55732Detroit013900Tract 013900Waasa TownshipWaasa60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.240609%34.240609%34.2%1,253,9371.25M34.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.750211%27.750211%27.8%37,75037.8k27.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.209545%26.209545%26.2%50,16950.2k26.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4718.064516%18.064516%18.1%2,49216.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4914.770642%14.770642%14.8%16113.833543%13.833543%13.8%59,72359.7k5013.757817%13.757817%13.8%24213.705584%13.705584%13.7%27
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#32

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 Waasa Township, selected other county subdivisions in the United States, and entities that contain the Waasa Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoSt. Louis CountySt. LouisAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyDuluth Metro AreaDuluth AreaOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitSt. Louis County School DistrictSt. Louis CoZIP Code 55732ZIP 55732Waasa TownshipWaasa013900Tract 01390012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.458748%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%11,83311.8k352.813982%2.813982%2.8%3,8282.763004%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%15,54715.5k402.399498%2.399498%2.4%4,5932.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.007611%1.007611%1.0%1390.917431%0.917431%0.9%100.507614%0.507614%0.5%10.227402%0.227402%0.2%4
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#33

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 Waasa Township, selected other county subdivisions in the United States, and entities that contain the Waasa Township
Female
Male
1x0x1x2x3xFM#WaasaSt. Louis Co1, CharlotteDetroitBaltimoreTulsaSW DallasZIP 55732Duluth AreaWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaSt. LouisOntarioSan 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 JoseTract 013900San DiegoSan FranciscoEl Paso-1.000000x-1.000000x3.027523x3.027523x3.03x4.545%4.55%13.761%13.8%-1.000000x-1.000000x1.336718x1.336718x1.34x5.985%5.99%8.001%8.00%-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-1.000000x1.148314x1.148314x1.15x7.629%7.63%8.760%8.76%-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%5.96%6.826%6.83%-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-1.000000x1.127206x1.127206x1.13x20.830%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-1.000000x1.089583x1.089583x1.09x6.217%6.22%6.774%6.77%-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%47-1.138566x-1.138566x1.14x1.000000x1.000000x9.248%9.25%8.122%8.12%-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#34

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 Waasa Township, selected other county subdivisions in the United States, and entities that contain the Waasa Township
Female
Male
0x5x10xFM#WaasaEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadSt. LouisFresnoNE TarrantMinnesotaTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusDuluth AreaMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynSt. Louis CoManhattanChicagoSeattleBostonZIP 55732BronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitTract 013900-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.917%0.92%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%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-1.000000x1.487208x1.487208x1.49x2.265%2.26%3.368%3.37%-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-1.000000x1.401612x1.401612x1.40x1.999%2.00%2.801%2.80%-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-1.000000x1.255780x1.255780x1.26x0.889%0.89%1.117%1.12%-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-1.000000x1.202479x1.202479x1.20x0.825%0.82%0.992%0.99%-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%50-3.506782x-3.506782x3.51x1.000000x1.000000x0.370%0.37%0.105%0.11%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Minnesota
County:
St. Louis
Metro Area:
Duluth Area
ZIP Code:
55732
Unified School District:
St. Louis County
Congressional District:
MN-8
State Senate District:
MN-6
State House District:
MN-6B
Neighboring Cities:
Babbitt, Hoyt Lakes
Neighboring Townships:
Embarrass, Kugler, White
Neighboring Unorganized Territories:
Birch Lake
Nearby Townships:
Bassett, Breitung, Eagles Nest, Greenwood, Morse, Pike, Vermilion Lake
Nearby Unorganized Territories:
Hay Lake