Educational Attainment in the Kabetogama 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 Kabetogama Township
Kabetogama Township
St. Louis County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma243.269231%39.901496%43.269231%43.3%4553.846154%53.604587%53.846154%53.8%562.884615%6.493917%2.884615%2.9%3
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 Kabetogama Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma28.440122%8.440122%+8.4%43.269%43.3%39.901%39.9%0.450646%0.450646%+0.5%53.846%53.8%53.605%53.6%-55.579731%-55.579731%-55.6%2.885%2.88%6.494%6.49%
% percentage with given level in the Kabetogama 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 Kabetogama Township
Kabetogama Township
St. Louis County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.923077%1.157055%1.923077%1.9%20.000000%0.000000%0.0%1.656927%07.692308%6.352042%7.692308%7.7%819.230769%18.584188%19.230769%19.2%2014.423077%12.151285%14.423077%14.4%1525.000000%24.435623%25.000000%25.0%2628.846154%29.168964%28.846154%28.8%302.884615%4.951667%2.884615%2.9%30.000000%0.000000%0.0%0.986511%00.000000%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 Kabetogama Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None66.204428%66.204428%+66.2%1.923%1.92%1.157%1.16%-100.000000%-100.000000%-100.0%0.000%0%1.657%1.66%21.099766%21.099766%+21.1%7.692%7.69%6.352%6.35%3.479201%3.479201%+3.5%19.231%19.2%18.584%18.6%18.695903%18.695903%+18.7%14.423%14.4%12.151%12.2%2.309648%2.309648%+2.3%25.000%25.0%24.436%24.4%-1.106690%-1.106690%-1.1%28.846%28.8%29.169%29.2%-41.744559%-41.744559%-41.7%2.885%2.88%4.952%4.95%-100.000000%-100.000000%-100.0%0.000%0%0.987%0.99%-100.000000%-100.000000%-100.0%0.000%0%0.556%0.56%
% percentage with given level in the Kabetogama 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 Kabetogama Township
More Females More Males
St. Louis County
Kabetogama Township
100%50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-11.254983%9.973046%9.973046%10%41.176%41.2%45.283%45.3%-3.921569%-3.921569%4%7.135139%54.902%54.9%52.830%52.8%-107.843137%-107.843137%108%8.958316%3.922%3.92%1.887%1.89%
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 Kabetogama Township
More Females More Males
St. Louis County
Kabetogama Township
1,000%500%0%FMDoctorate1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3-1,000.000000%-1,000.000000%> 1000%35.885465%3.922%3.92%0.000%0%-39.738854%188.679245%188.679245%189%3.922%3.92%11.321%11.3%-7.354777%78.706199%78.706199%79%13.725%13.7%24.528%24.5%-107.843137%-17.277862%-107.843137%108%19.608%19.6%9.434%9.43%-21.241830%-21.241830%21%8.687414%27.451%27.5%22.642%22.6%9.973046%5.852341%9.973046%10%27.451%27.5%30.189%30.2%-107.843137%-107.843137%108%11.045763%3.922%3.92%1.887%1.89%
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 Kabetogama Township
Kabetogama Township
St. Louis County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3410.526316%14.058983%10.526316%10.5%65733.333333%18.724156%33.333333%33.3%123628.571429%19.979359%28.571429%28.6%270.000000%0.000000%0.0%23.660220%04
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 Kabetogama Township
100%50%0%50%%ref.65+45-6435-4425-34-25.127474%-25.127474%25.1%10.526%10.5%14.059%14.1%78.023153%78.023153%78.0%33.333%33.3%18.724%18.7%43.004729%43.004729%43.0%28.571%28.6%19.979%20.0%-100.000000%-100.000000%100.0%0.000%0%23.660%23.7%
% percentage in the Kabetogama 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 Kabetogama Township
More Females More Males
St. Louis County
Kabetogama Township
0%500%1,000%FM65+45-6435-44540.000000%19.454255%540.000000%540.0%3.125%3.13%20.000%20.0%-76.923077%-13.717867%-76.923077%76.9%46.154%46.2%26.087%26.1%-25.786689%1,000.000000%1,000.000000%> 1000%0.000%0%50.000%50.0%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of St. Louis County and the Kabetogama Township
Kabetogama Township
St. Louis County
$0k$10k$20k$30kCount%Some CollegeTotal$31,500.000000$31,991.000000$31,500.000000$31.5k4139.423%39.4%$23,750.000000$35,517.000000$23,750.000000$23.8k104100.000%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 Kabetogama Township
Female Male
St. Louis County
Kabetogama Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome College$-30,250.000000$-26,341.000000$-30,250.000000$30.3k$30,250.000000$20,063.000000$26,341.000000$15,098.000000$50,313.000000$50.3k2417
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 Kabetogama Township
Kabetogama Township
St. Louis County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma373.333333%84.310954%73.333333%73.3%1183.333333%74.229910%83.333333%83.3%2042.857143%63.877127%42.857143%42.9%30.000000%0.000000%0.0%46.043324%0
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 Kabetogama Township
Female Male
St. Louis County
Kabetogama Township
Shaded bar tips show excess over facing bar.
4%2%0%2%4%6%MFWhite1-1.886792%-2.279874%-5.555469%-4.166667%4.2%1.886792%5.555469%0.462648%1.886792%1.9%12
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 Kabetogama Township
Female Male
St. Louis County
Kabetogama Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%MFWhite1-20.833333%-27.084679%-2.389267%-20.833333%20.8%20.833333%15.015723%27.084679%35.849057%35.8%1910
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 Kabetogama Township to the 50 most populous county subdivisions in the Duluth Area and to those entities that contain or substantially overlap with the Kabetogama 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 Kabetogama Township, selected other county subdivisions in the Duluth Area, and entities that contain the Kabetogama Township
0%5%10%Count#United States of AmericaUnited StatesBabbittHibbingTown of HawthorneHawthorneMidwestWhite TownshipWhiteMakinenEvelethTown of ParklandParklandMountain IronWest North CentralBarnum TownshipBarnumCarltonBrevator 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 TownshipLakewood015500Tract 015500Moose Lake TownshipMoose LkElyBuhlTown of AmniconAmniconLake NebagamonLk NebagamonTwin Lakes TownshipTwin LksChisholmRice LakeSolway TownshipSolwayMidway TownshipMidwayTown of SuperiorSuperiorBiwabikBlackhoof TownshipBlackhoofCanosia TownshipCanosiaFredenberg TownshipFredenbergTown of SummitSummitFayal TownshipFayalKabetogama TownshipKabetogamaGilbertMorse 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%4,641,8354.64M9.618644%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%1,278,0511.28M8.558559%8.558559%8.6%5798.483290%8.483290%8.5%66107.955936%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%82295.191348%5.191348%5.2%1565.162065%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%46462.884615%2.884615%2.9%32.613374%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 Kabetogama Township, selected other county subdivisions in the Duluth Area, and entities that contain the Kabetogama 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 CentralMidwestKabetogama TownshipKabetogamaTown of Solon SpringsSolon SpgsSt. Louis CountySt. LouisDuluth Metro AreaDuluth AreaElyBlackhoof TownshipBlackhoofTwin Lakes TownshipTwin LksMidway TownshipMidwayCloquetBarnum TownshipBarnumGrand Lake TownshipGrand LkMoose Lake TownshipMoose LkEvelethTown of OaklandOakland015500Tract 015500ProctorSuperiorMountain IronChisholmMakinenBiwabikRice LakeTown of SuperiorSuperiorBrevator TownshipBrevatorPerch Lake TownshipPerch LkTown of ParklandParklandVirginiaSolway TownshipSolwayTown of SummitSummitSt. Louis County School DistrictSt. Louis CoTown of HawthorneHawthorneHibbingClinton TownshipClintonScanlonCarltonHoyt LakesGilbertWhite TownshipWhiteBuhlMoose 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%13,118,64213.1M28.846154%28.846154%28.8%3028.758170%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%2172523.760399%23.760399%23.8%71422.699115%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%2504514.066103%14.066103%14.1%1834613.855932%13.855932%13.9%3274712.967581%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 Kabetogama Township, selected other county subdivisions in the Duluth Area, and entities that contain the Kabetogama 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 TownshipGreenwoodKabetogama TownshipKabetogamaTown of ParklandParklandThomson TownshipThomsonPerch Lake TownshipPerch LkRice LakeSuperiorElySand LakeTown of HawthorneHawthorneProctorMountain IronCloquet015500Tract 015500VirginiaHibbingHoyt LakesEvelethTwin Lakes TownshipTwin LksSt. Louis County School DistrictSt. Louis CoSolway TownshipSolwayTown of SuperiorSuperiorTown of AmniconAmniconBlackhoof TownshipBlackhoofGilbertMakinenBrevator TownshipBrevatorWhite TownshipWhiteClinton TownshipClintonMoose LakeCarltonChisholmBabbittScanlonBuhlTown 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%18181.923077%1.923077%1.9%21.876955%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%103291.297837%1.297837%1.3%391.169005%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%8370.875912%0.875912%0.9%6380.845503%0.845503%0.8%11390.680851%0.680851%0.7%8400.611995%0.611995%0.6%5410.423729%0.423729%0.4%10420.388098%0.388098%0.4%3430.338696%0.338696%0.3%8440.257069%0.257069%0.3%2450.029172%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 Kabetogama Township, selected other county subdivisions in the Duluth Area, and entities that contain the Kabetogama Township
Female
Male
10x5x0x5x10xFM#ThomsonSand LakeMidwayMorseFayalLk NebagamonMoose LakeSummitDuluthSuperiorCanosiaFredenbergClintonVirginiaBarnumGnesenBabbittMoose LkMakinenHawthorneTwin LksSt. Louis CoSolwayRice LakeSuperiorProctorDuluthBiwabikGrand LkGreenwoodTract 015500Duluth AreaWest North CentralMinnesotaMidwestUnited StatesSt. LouisCarltonCloquetOaklandBuhlHermantownEvelethSolon SpgsScanlonParklandBrevatorAmniconBlackhoofHibbingChisholmLakewoodWhiteElyMountain IronKabetogamaHoyt 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-1.000000x2.727529x2.727529x2.73x2.415%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-1.000000x1.213183x1.213183x1.21x4.677%4.68%5.674%5.67%-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%35-1.144565x-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%47-2.078431x-2.078431x2.08x1.000000x1.000000x3.922%3.92%1.887%1.89%-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 Kabetogama Township, selected other county subdivisions in the Duluth Area, and entities that contain the Kabetogama Township
Female
Male
10x5x0x5x10xFM#ChisholmMountain IronHoyt LakesMakinenCarltonBlackhoofSand LakeLk NebagamonMoose LkHibbingFayalVirginiaFredenbergEvelethParklandTract 015500DuluthGreenwoodGnesenMorseAmniconMidwestSolwayWest North CentralUnited StatesSuperiorSt. LouisMinnesotaSolon SpgsDuluthRice LakeDuluth AreaMidwaySt. Louis CoBarnumElyHermantownBiwabikOaklandLakewoodPerch LkGrand LkBrevatorTwin LksSuperiorCanosiaGilbertWhiteHawthorneCloquetThomsonProctorKabetogamaMoose LakeClinton-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-1.000000x2.109284x2.109284x2.11x0.825%0.83%1.741%1.74%-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-1.000000x1.187931x1.187931x1.19x3.145%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%43-4.364121x-4.364121x4.36x1.000000x1.000000x2.309%2.31%0.529%0.53%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.922%3.92%0.000%0%-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 Kabetogama Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Kabetogama 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 Kabetogama Township, selected other county subdivisions in Minnesota, and entities that contain the Kabetogama Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaSt. Louis County School DistrictSt. Louis CoCoon RapidsRosevilleSt. Louis CountySt. LouisDuluthDuluth Metro AreaDuluth AreaRochesterBurnsvilleHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaine015500Tract 015500Apple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewChamplinWoodburyKabetogama TownshipKabetogamaPlymouthMinnetonkaChanhassenMaple GroveEdina16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.174633%9.174633%9.2%1,278,0511.28M7.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.031533%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%2,154285.191348%5.191348%5.2%1564.998974%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%1,317452.884615%2.884615%2.9%32.612169%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 Kabetogama Township, selected other county subdivisions in Minnesota, and entities that contain the Kabetogama 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. CloudMidwestKabetogama TownshipKabetogamaRamseyHastingsSt. Louis CountySt. LouisOwatonnaFridleyDuluth Metro AreaDuluth AreaCoon Rapids015500Tract 015500AustinBrooklyn CenterBrooklyn CtrFaribaultSt. Louis County School DistrictSt. Louis Co68.687093%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%13,118,64213.1M28.846154%28.846154%28.8%3028.410062%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%11,19111.2k4723.760399%23.760399%23.8%71421.410083%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%2,492
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 Kabetogama Township, selected other county subdivisions in Minnesota, and entities that contain the Kabetogama 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 LakeRosemountFridleyShakopeeKabetogama TownshipKabetogamaRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmington015500Tract 015500Elk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastingsSt. Louis County School DistrictSt. Louis Co11.352388%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%488351.923077%1.923077%1.9%21.876306%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%209461.297837%1.297837%1.3%391.283279%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%139
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 Kabetogama Township, selected other county subdivisions in Minnesota, and entities that contain the Kabetogama Township
Female
Male
2x1x0x1x2xFM#FarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkSt. Louis CoShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthTract 015500Brooklyn CtrRichfieldFaribaultDuluth AreaWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinSt. LouisBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew BrightonKabetogama-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-1.000000x1.213183x1.213183x1.21x4.677%4.68%5.674%5.67%-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-1.000000x1.145804x1.145804x1.15x5.958%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%40-1.150185x-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%50-2.078431x-2.078431x2.08x1.000000x1.000000x3.922%3.92%1.887%1.89%
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 Kabetogama Township, selected other county subdivisions in Minnesota, and entities that contain the Kabetogama Township
Female
Male
10x5x0xFM#WinonaWhite Bear LkRosemountAndoverShoreviewTract 015500Maple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveSt. LouisMinnesotaDuluthSt. Louis PkFaribaultInver Grv HtsDuluth AreaEaganBrooklyn CtrSt. PaulSt. Louis CoPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk RiverKabetogama-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-1.000000x2.109284x2.109284x2.11x0.825%0.83%1.741%1.74%-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-1.000000x1.179960x1.179960x1.18x3.234%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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.922%3.92%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Kabetogama Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Kabetogama 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 Kabetogama Township, selected other county subdivisions in the Midwest, and entities that contain the Kabetogama Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaLincolnSt. Louis County School DistrictSt. Louis CoWashington TownshipWashingtonSt. Louis CountySt. LouisOlatheDuluth Metro AreaDuluth AreaFargoCedar RapidsYork TownshipMilton TownshipMilton015500Tract 015500MadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborKabetogama TownshipKabetogama33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.376055%7.376055%7.4%270,121270k7.092309%7.092309%7.1%11,88611.9k397.031533%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%4,126455.191348%5.191348%5.2%1564.836248%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%2,057502.884615%2.884615%2.9%3
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 Kabetogama Township, selected other county subdivisions in the Midwest, and entities that contain the Kabetogama 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 CentralMidwestWichitaKabetogama TownshipKabetogamaSt. Louis CountySt. LouisSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoDuluth Metro AreaDuluth AreaWorth TownshipWorth015500Tract 015500MilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonSt. Louis County School DistrictSt. Louis CoToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%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%71,75771.8k3028.846154%28.846154%28.8%3027.750211%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%26,38926.4k3523.760399%23.760399%23.8%71423.517740%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%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Kabetogama Township, selected other county subdivisions in the Midwest, and entities that contain the Kabetogama 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 TownshipWorthClevelandKabetogama TownshipKabetogamaToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroit015500Tract 015500DaytonWayne TownshipWayneWarrenSt. Louis County School DistrictSt. Louis CoBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.458748%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%4,911391.923077%1.923077%1.9%21.642065%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%5,693441.297837%1.297837%1.3%391.257490%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%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Kabetogama Township, selected other county subdivisions in the Midwest, and entities that contain the Kabetogama Township
Female
Male
2x1x0x1xFM#St. Louis CoCedar RapidsLincolnDetroitOmahaToledoTract 015500ThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipDuluth AreaWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkSt. LouisAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineKabetogama-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-1.000000x1.213183x1.213183x1.21x4.677%4.68%5.674%5.67%-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-1.000000x1.145804x1.145804x1.15x5.958%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%47-1.140051x-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%50-2.078431x-2.078431x2.08x1.000000x1.000000x3.922%3.92%1.887%1.89%
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 Kabetogama Township, selected other county subdivisions in the Midwest, and entities that contain the Kabetogama Township
Female
Male
10x5x0xFM#RockfordNTract 015500DaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborSt. LouisTopekaMinnesotaSterling HtsPalatineSchaumburgColumbusDuluth AreaMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisSt. Louis CoChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonKabetogama-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-1.000000x2.109284x2.109284x2.11x0.825%0.83%1.741%1.74%-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-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.922%3.92%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Kabetogama Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Kabetogama 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 Kabetogama Township, selected other county subdivisions in the United States, and entities that contain the Kabetogama Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleNortheast TarrantNE TarrantMinnesotaSt. Louis County School DistrictSt. Louis CoSt. Louis CountySt. LouisDuluth Metro AreaDuluth AreaPlano015500Tract 015500Seattle EastKabetogama TownshipKabetogama28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.376055%7.376055%7.4%270,121270k7.031533%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%20,64420.6k495.191348%5.191348%5.2%1564.913852%4.913852%4.9%20,32620.3k502.884615%2.884615%2.9%3
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 Kabetogama Township, selected other county subdivisions in the United States, and entities that contain the Kabetogama 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-LakewoodMidwestKabetogama TownshipKabetogamaPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoSt. Louis CountySt. LouisEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaDuluth Metro AreaDuluth AreaMiamiFort WorthSouthwest DallasSW Dallas015500Tract 015500MilwaukeeFresnoLas VegasEl PasoBronxSt. Louis County School DistrictSt. Louis CoSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.240609%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%13,118,64213.1M28.846154%28.846154%28.8%3028.760152%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%140,625141k4223.760399%23.760399%23.8%71423.517740%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%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Kabetogama Township, selected other county subdivisions in the United States, and entities that contain the Kabetogama 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 VegasMilwaukeeKabetogama TownshipKabetogamaSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit015500Tract 015500St. Louis County School DistrictSt. Louis Co12.461852%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%7,455441.923077%1.923077%1.9%21.807306%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%5,693501.297837%1.297837%1.3%391.007611%1.007611%1.0%139
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 Kabetogama Township, selected other county subdivisions in the United States, and entities that contain the Kabetogama Township
Female
Male
2x1x0x1xFM#St. Louis Co1, CharlotteDetroitTract 015500BaltimoreTulsaSW DallasDuluth 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 JoseSan DiegoSan FranciscoEl PasoKabetogama-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-1.000000x1.213183x1.213183x1.21x4.677%4.68%5.674%5.67%-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-1.000000x1.145804x1.145804x1.15x5.958%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%47-1.168454x-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%50-2.078431x-2.078431x2.08x1.000000x1.000000x3.922%3.92%1.887%1.89%
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 Kabetogama Township, selected other county subdivisions in the United States, and entities that contain the Kabetogama Township
Female
Male
10x5x0xFM#El PasoTract 015500Salt 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 CoManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitKabetogama-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.109284x2.109284x2.11x0.825%0.83%1.741%1.74%-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-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.922%3.92%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

Income

Education

More Maps to Explore

State:
Minnesota
County:
St. Louis
Metro Area:
Duluth Area
ZIP Codes:
56649, 56669
Unified School District:
St. Louis County
Congressional District:
MN-8
State Senate District:
MN-3
State House District:
MN-3A
Neighboring Unorganized Territories:
Northwest St. Louis, Rainy Lake
Nearby Townships:
Camp 5, Crane Lake, Leiding, Portage
Nearby Unorganized Territories:
East Koochiching, Nett Lake, Nett Lake