Educational Attainment in the French 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 French Township
French Township
St. Louis County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma244.819820%39.901496%44.819820%44.8%19951.351351%53.604587%51.351351%51.4%2283.828829%6.493917%3.828829%3.8%17
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than St. Louis County at large.
Scope: population of St. Louis County and the French Township
-40%-20%-0%+20%+40%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma212.326164%12.326164%+12.3%44.820%44.8%39.901%39.9%-4.203438%-4.203438%-4.2%51.351%51.4%53.605%53.6%-41.039763%-41.039763%-41.0%3.829%3.83%6.494%6.49%
% percentage with given level in the French 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 French Township
French Township
St. Louis County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.450450%1.157055%0.450450%0.5%24.054054%1.656927%4.054054%4.1%187.657658%6.352042%7.657658%7.7%3416.216216%18.584188%16.216216%16.2%7216.441441%12.151285%16.441441%16.4%7330.855856%24.435623%30.855856%30.9%13720.495495%29.168964%20.495495%20.5%913.378378%4.951667%3.378378%3.4%150.450450%0.986511%0.450450%0.5%20.000000%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 French Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-61.069233%-61.069233%-61.1%0.450%0.45%1.157%1.16%144.673134%144.673134%+144.7%4.054%4.05%1.657%1.66%20.554271%20.554271%+20.6%7.658%7.66%6.352%6.35%-12.741863%-12.741863%-12.7%16.216%16.2%18.584%18.6%35.306200%35.306200%+35.3%16.441%16.4%12.151%12.2%26.274070%26.274070%+26.3%30.856%30.9%24.436%24.4%-29.735264%-29.735264%-29.7%20.495%20.5%29.169%29.2%-31.772906%-31.772906%-31.8%3.378%3.38%4.952%4.95%-54.339026%-54.339026%-54.3%0.450%0.45%0.987%0.99%-100.000000%-100.000000%-100.0%0.000%0%0.556%0.56%
% percentage with given level in the French 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 French Township
More Females More Males
St. Louis County
French Township
50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-2.208173%-11.254983%-2.208173%2%45.327%45.3%44.348%44.3%7.087777%7.135139%7.087777%7%49.533%49.5%53.043%53.0%-97.040498%-97.040498%97%8.958316%5.140%5.14%2.609%2.61%
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 French Township
More Females More Males
St. Louis County
French Township
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.31,000.000000%35.885465%1,000.000000%> 1000%0.000%0%0.870%0.87%644.347826%58.541193%644.347826%1k%0.935%0.93%6.957%6.96%-97.040498%-39.738854%-97.040498%0k%10.280%10.3%5.217%5.22%-7.354777%30.260870%30.260870%0k%14.019%14.0%18.261%18.3%-54.049844%-17.277862%-54.049844%0k%20.093%20.1%13.043%13.0%6.127717%8.687414%6.127717%0k%29.907%29.9%31.739%31.7%8.550725%5.852341%8.550725%0k%19.626%19.6%21.304%21.3%-61.214953%-61.214953%0k%11.045763%4.206%4.21%2.609%2.61%-1,000.000000%-5.750094%-1,000.000000%> 1000%0.935%0.93%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of St. Louis County and the French Township
French Township
St. Louis County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3418.248175%14.058983%18.248175%18.2%2513713.740458%18.724156%13.740458%13.7%3626213.636364%19.979359%13.636364%13.6%32234.782609%23.660220%34.782609%34.8%823
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 French Township
20%0%20%40%%ref.65+45-6435-4425-3429.797262%29.797262%29.8%18.248%18.2%14.059%14.1%-26.616410%-26.616410%26.6%13.740%13.7%18.724%18.7%-31.747743%-31.747743%31.7%13.636%13.6%19.979%20.0%47.008815%47.008815%47.0%34.783%34.8%23.660%23.7%
% percentage in the French 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 French Township
More Females More Males
St. Louis County
French Township
0%500%1,000%FM65+45-6435-4425-3443.571429%19.454255%43.571429%43.6%14.925%14.9%21.429%21.4%-13.717867%36.938776%36.938776%36.9%11.475%11.5%15.714%15.7%-25.786689%1,000.000000%1,000.000000%> 1000%0.000%0%33.333%33.3%-175.000000%-15.703421%-175.000000%175.0%50.000%50.0%18.182%18.2%
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 French Township
French Township
St. Louis County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$79,583.000000$62,808.000000$79,583.000000$79.6k5412.162%12.2%$66,000.000000$45,691.000000$66,000.000000$66.0k7216.216%16.2%$41,719.000000$31,991.000000$41,719.000000$41.7k21047.297%47.3%$26,875.000000$27,191.000000$26,875.000000$26.9k9120.495%20.5%$49,250.000000$35,517.000000$49,250.000000$49.3k444100.000%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 French Township
Female Male
St. Louis County
French Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Some CollegeH.S. Diploma2Total$-61,875.000000$-57,796.000000$-61,875.000000$61.9k$61,875.000000$64,375.000000$57,796.000000$14,470.000000$126,250.000000$126.3k2430$-30,313.000000$-26,341.000000$-30,313.000000$30.3k$30,313.000000$31,093.000000$26,341.000000$15,098.000000$61,406.000000$61.4k107103$-21,250.000000$-20,661.000000$-21,250.000000$21.3k$21,250.000000$74,167.000000$20,661.000000$13,310.000000$95,417.000000$95.4k4249$-27,708.000000$-29,297.000000$-27,708.000000$27.7k$27,708.000000$39,792.000000$29,297.000000$13,580.000000$67,500.000000$67.5k214230
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 French Township
French Township
St. Louis County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma354.878049%84.310954%54.878049%54.9%4562.576687%74.229910%62.576687%62.6%10251.785714%63.877127%51.785714%51.8%290.000000%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 French Township
Female Male
St. Louis County
French Township
Shaded bar tips show excess over facing bar.
4%2%0%2%4%6%MFWhite1-2.608696%-0.724638%-5.555469%-3.333333%3.3%2.608696%5.555469%0.462648%2.608696%2.6%67
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 French Township
Female Male
St. Louis County
French Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%MFWhite1-25.714286%-27.084679%-2.389267%-25.714286%25.7%25.714286%5.590062%27.084679%31.304348%31.3%7254
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 French Township to the 50 most populous county subdivisions in the Duluth Area and to those entities that contain or substantially overlap with the French 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 French Township, selected other county subdivisions in the Duluth Area, and entities that contain the French Township
0%5%10%Count#United States of AmericaUnited StatesBabbittHibbingTown of HawthorneHawthorneHibbing Public School DistrictHibbingMidwestWhite TownshipWhiteMakinenEvelethTown of ParklandParklandMountain IronWest North CentralBarnum TownshipBarnumCarltonBrevator TownshipBrevatorTown of OaklandOaklandMoose LakeScanlonMinnesotaClinton TownshipClinton015100Tract 015100Hoyt 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 SuperiorSuperiorBiwabikFrench TownshipFrenchBlackhoof 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%80310.339967%10.339967%10.3%1,24710.244520%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%56157.185629%7.185629%7.2%1566.839187%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%24413.828829%3.828829%3.8%173.795620%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 French Township, selected other county subdivisions in the Duluth Area, and entities that contain the French 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 SpgsFrench TownshipFrenchSt. 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 ParklandParklandVirginia015100Tract 015100Solway TownshipSolwayTown of SummitSummitHibbing Public School DistrictHibbingTown 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%13,118,64213.1M28.758170%28.758170%28.8%2201528.378378%28.378378%28.4%12627.750211%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%1,1323718.839245%18.839245%18.8%40918.341532%18.341532%18.3%2613818.144611%18.144611%18.1%1333918.026534%18.026534%18.0%2,17417.777778%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 French Township, selected other county subdivisions in the Duluth Area, and entities that contain the French Township
0%2%4%6%8%Count#Duluth TownshipDuluthGnesen TownshipGnesenLakewood TownshipLakewoodMorse TownshipMorseFrench TownshipFrenchDuluthCanosia 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 TownshipThomson015100Tract 015100Perch Lake TownshipPerch LkRice LakeSuperiorElySand LakeTown of HawthorneHawthorneProctorMountain IronCloquetHibbing Public School DistrictHibbingVirginiaHibbingHoyt LakesEvelethTwin Lakes TownshipTwin LksSolway 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%5244.504505%4.504505%4.5%204.278609%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%65201.842469%1.842469%1.8%401.796407%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%103291.210614%1.210614%1.2%1461.169005%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%15340.983837%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 French Township, selected other county subdivisions in the Duluth Area, and entities that contain the French Township
Female
Male
10x5x0x5x10xFM#ThomsonSand LakeMidwayMorseFayalLk NebagamonMoose LakeSummitDuluthSuperiorCanosiaFredenbergClintonVirginiaBarnumGnesenBabbittMoose LkMakinenHawthorneTwin LksSolwayRice LakeSuperiorProctorTract 015100DuluthBiwabikGrand LkGreenwoodDuluth AreaWest North CentralMinnesotaMidwestUnited StatesSt. LouisCarltonCloquetOaklandBuhlHermantownEvelethSolon SpgsScanlonParklandBrevatorAmniconBlackhoofHibbingHibbingChisholmLakewoodWhiteElyFrenchMountain 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-1.000000x2.727529x2.727529x2.73x2.415%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-1.000000x1.323413x1.323413x1.32x3.598%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-1.000000x1.242398x1.242398x1.24x6.377%6.38%7.923%7.92%-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-1.000000x1.145804x1.145804x1.15x5.958%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%41-1.363149x-1.363149x1.36x1.000000x1.000000x11.861%11.9%8.701%8.70%-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%46-1.970405x-1.970405x1.97x1.000000x1.000000x5.140%5.14%2.609%2.61%-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 French Township, selected other county subdivisions in the Duluth Area, and entities that contain the French Township
Female
Male
10x5x0x5x10xFM#ChisholmMountain IronHoyt LakesMakinenCarltonBlackhoofSand LakeFrenchLk NebagamonMoose LkHibbingHibbingFayalVirginiaFredenbergTract 015100EvelethParklandDuluthGreenwoodGnesenMorseAmniconMidwestSolwayWest North CentralUnited StatesSuperiorSt. LouisMinnesotaSolon SpgsDuluthRice LakeDuluth AreaMidwayBarnumElyHermantownBiwabikOaklandLakewoodPerch LkGrand LkBrevatorTwin LksSuperiorCanosiaGilbertWhiteHawthorneCloquetThomsonProctorMoose 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-1.000000x8.373913x8.373913x8.37x0.935%0.93%7.826%7.83%-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-1.000000x4.974818x4.974818x4.97x0.416%0.42%2.068%2.07%-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-1.000000x2.733275x2.733275x2.73x0.966%0.97%2.641%2.64%-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-1.000000x1.187931x1.187931x1.19x3.145%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> 10.0x1.000000x1.000000x1.096%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 French Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the French 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 French Township, selected other county subdivisions in Minnesota, and entities that contain the French Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisHibbing Public School DistrictHibbingMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonna015100Tract 015100Coon RapidsRosevilleSt. Louis CountySt. LouisDuluthDuluth Metro AreaDuluth AreaRochesterBurnsvilleHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverFrench TownshipFrenchRamseyEaganWhite 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%29,34729.3k610.339967%10.339967%10.3%1,24710.244520%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%1,237167.185629%7.185629%7.2%1567.021578%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%812353.828829%3.828829%3.8%173.724508%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 French Township, selected other county subdivisions in Minnesota, and entities that contain the French 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. CloudMidwestRamseyFrench TownshipFrenchHastingsSt. Louis CountySt. LouisOwatonnaFridleyDuluth Metro AreaDuluth AreaCoon RapidsAustinBrooklyn CenterBrooklyn Ctr015100Tract 015100FaribaultHibbing Public School DistrictHibbing68.687093%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%4,6534328.378378%28.378378%28.4%12628.059816%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%4,0284918.839245%18.839245%18.8%40918.795256%18.795256%18.8%3,0115018.026534%18.026534%18.0%2,174
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 French Township, selected other county subdivisions in Minnesota, and entities that contain the French Township
0%5%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonFrench TownshipFrenchEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaSt. Louis CountySt. LouisWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvilleDuluth Metro AreaDuluth AreaPrior LakeRosemountFridleyShakopeeRichfieldSavage015100Tract 015100OakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonElk RiverCoon RapidsHibbing Public School DistrictHibbingBrooklyn CenterBrooklyn CtrHastings11.352388%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%725124.504505%4.504505%4.5%204.400428%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%350371.842469%1.842469%1.8%401.769443%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%548481.210614%1.210614%1.2%1461.126818%1.126818%1.1%220491.123163%1.123163%1.1%17550
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 French Township, selected other county subdivisions in Minnesota, and entities that contain the French Township
Female
Male
1x0x1x2xFM#FarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsTract 015100DuluthBrooklyn CtrRichfieldFaribaultDuluth AreaWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinSt. LouisBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageHibbingNew BrightonFrench-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-1.000000x1.317049x1.317049x1.32x2.784%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-1.000000x1.242398x1.242398x1.24x6.377%6.38%7.923%7.92%-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-1.000000x1.145804x1.145804x1.15x5.958%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%49-1.363149x-1.363149x1.36x1.000000x1.000000x11.861%11.9%8.701%8.70%-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%50-1.970405x-1.970405x1.97x1.000000x1.000000x5.140%5.14%2.609%2.61%
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 French Township, selected other county subdivisions in Minnesota, and entities that contain the French Township
Female
Male
2x0x2x4x6x8xFM#FrenchHibbingWinonaWhite Bear LkTract 015100RosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveSt. LouisMinnesotaDuluthSt. Louis PkFaribaultInver Grv HtsDuluth AreaEaganBrooklyn CtrSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk River-1.000000x-1.000000x8.373913x8.373913x8.37x0.935%0.93%7.826%7.83%-1.000000x-1.000000x4.974818x4.974818x4.97x0.416%0.42%2.068%2.07%-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-1.000000x2.733275x2.733275x2.73x0.966%0.97%2.641%2.64%-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-1.000000x1.248780x1.248780x1.25x1.936%1.94%2.418%2.42%38-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%39-1.000000x-1.000000x1.240291x1.240291x1.24x1.659%1.66%2.058%2.06%40-1.000000x-1.000000x1.220015x1.220015x1.22x1.515%1.52%1.848%1.85%41-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%42-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%43-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%44-1.000000x-1.000000x1.068161x1.068161x1.07x3.397%3.40%3.629%3.63%45-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%46-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%47-1.000000x-1.000000x1.018945x1.018945x1.02x3.110%3.11%3.169%3.17%48-1.019385x-1.019385x1.02x1.000000x1.000000x3.889%3.89%3.815%3.81%49-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the French Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the French 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 French Township, selected other county subdivisions in the Midwest, and entities that contain the French 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 TownshipWorthHibbing Public School DistrictHibbingMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesota015100Tract 015100LincolnWashington TownshipWashingtonSt. Louis CountySt. LouisOlatheDuluth Metro AreaDuluth AreaFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvFrench TownshipFrenchLisle 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%11,17511.2k3210.339967%10.339967%10.3%1,24710.244520%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%270,121270k7.185629%7.185629%7.2%1567.092309%7.092309%7.1%11,88611.9k396.804680%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%4,166473.828829%3.828829%3.8%173.522812%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 French Township, selected other county subdivisions in the Midwest, and entities that contain the French 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 CentralMidwestWichitaFrench TownshipFrenchSt. Louis CountySt. LouisSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoDuluth Metro AreaDuluth AreaWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThornton015100Tract 015100ToledoHibbing Public School DistrictHibbingDaytonWarrenWayne 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%71,75771.8k3028.378378%28.378378%28.4%12627.750211%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%21,01221.0k4118.839245%18.839245%18.8%40918.048021%18.048021%18.0%33,17133.2k4218.026534%18.026534%18.0%2,17417.635555%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 French Township, selected other county subdivisions in the Midwest, and entities that contain the French Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnFrench TownshipFrenchChicagoFargoCapital 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 TownshipWorthCleveland015100Tract 015100ToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonHibbing Public School DistrictHibbingWayne TownshipWayneWarrenBlue 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%7,656144.504505%4.504505%4.5%204.485379%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%4,911391.842469%1.842469%1.8%401.642065%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%1,106451.210614%1.210614%1.2%1461.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%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 French Township, selected other county subdivisions in the Midwest, and entities that contain the French Township
Female
Male
1x0x1xFM#Cedar RapidsTract 015100LincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipDuluth AreaWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkSt. LouisAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineHibbingFrench-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.242398x1.242398x1.24x6.377%6.38%7.923%7.92%-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-1.000000x1.145804x1.145804x1.15x5.958%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%50-1.363149x-1.363149x1.36x1.000000x1.000000x11.861%11.9%8.701%8.70%-1.970405x-1.970405x1.97x1.000000x1.000000x5.140%5.14%2.609%2.61%
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 French Township, selected other county subdivisions in the Midwest, and entities that contain the French Township
Female
Male
0x2x4x6x8xFM#FrenchHibbingTract 015100RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborSt. LouisTopekaMinnesotaSterling HtsPalatineSchaumburgColumbusDuluth AreaMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x8.373913x8.373913x8.37x0.935%0.93%7.826%7.83%-1.000000x-1.000000x4.974818x4.974818x4.97x0.416%0.42%2.068%2.07%-1.000000x-1.000000x2.733275x2.733275x2.73x0.966%0.97%2.641%2.64%-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-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the French Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the French 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 French Township, selected other county subdivisions in the United States, and entities that contain the French 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 HempsteadHempsteadHibbing Public School DistrictHibbingMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleNortheast TarrantNE TarrantMinnesota015100Tract 015100St. Louis CountySt. LouisDuluth Metro AreaDuluth AreaPlanoSeattle EastFrench TownshipFrench28.998944%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%54,23054.2k4310.339967%10.339967%10.3%1,24710.244520%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%270,121270k7.185629%7.185629%7.2%1566.493917%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%20,32620.3k503.828829%3.828829%3.8%17
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 French Township, selected other county subdivisions in the United States, and entities that contain the French 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…French TownshipFrenchSacramentoSt. Louis CountySt. LouisEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaDuluth Metro AreaDuluth AreaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronx015100Tract 015100Hibbing Public School DistrictHibbingSan 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%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.378378%28.378378%28.4%12628.231204%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%173,169173k4718.839245%18.839245%18.8%40918.026534%18.026534%18.0%2,17416.375473%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 French Township, selected other county subdivisions in the United States, and entities that contain the French Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoFrench TownshipFrenchChicagoTucsonTown 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 VegasMilwaukee015100Tract 015100San BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitHibbing Public School DistrictHibbing12.461852%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%16,67916.7k154.504505%4.504505%4.5%204.485379%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%7,455441.842469%1.842469%1.8%401.807306%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%5,693501.210614%1.210614%1.2%146
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 French Township, selected other county subdivisions in the United States, and entities that contain the French Township
Female
Male
1x0x1xFM#1, CharlotteTract 015100DetroitBaltimoreTulsaSW 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 PasoHibbingFrench-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.242398x1.242398x1.24x6.377%6.38%7.923%7.92%-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-1.000000x1.145804x1.145804x1.15x5.958%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%50-1.363149x-1.363149x1.36x1.000000x1.000000x11.861%11.9%8.701%8.70%-1.970405x-1.970405x1.97x1.000000x1.000000x5.140%5.14%2.609%2.61%
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 French Township, selected other county subdivisions in the United States, and entities that contain the French Township
Female
Male
0x2x4x6x8xFM#FrenchHibbingTract 015100El 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 DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x8.373913x8.373913x8.37x0.935%0.93%7.826%7.83%-1.000000x-1.000000x4.974818x4.974818x4.97x0.416%0.42%2.068%2.07%-1.000000x-1.000000x2.733275x2.733275x2.73x0.966%0.97%2.641%2.64%-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-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Minnesota
County:
St. Louis
Metro Area:
Duluth Area
ZIP Codes:
55703, 55781
Unified School District:
Hibbing
Congressional District:
MN-8
State Senate District:
MN-6
State House District:
MN-6A
Neighboring Townships:
Balkan, Bearville, Morcom, Sturgeon
Neighboring Unorganized Territories:
McCormack, Northeast Itasca, Sand Lake
Nearby Townships:
Alango, Angora, Carpenter, Field, Great Scott, Linden Grove, Willow Valley