Educational Attainment in the Skelton Township, Carlton County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Carlton County and the Skelton Township
Skelton Township
Carlton County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.479769%33.279287%29.479769%29.5%10265.895954%60.940413%65.895954%65.9%2284.624277%5.780300%4.624277%4.6%16
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 Carlton County at large.
Scope: population of Carlton County and the Skelton Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-11.417065%-11.417065%-11.4%29.480%29.5%33.279%33.3%8.131780%8.131780%+8.1%65.896%65.9%60.940%60.9%-19.999351%-19.999351%-20.0%4.624%4.62%5.780%5.78%
% percentage with given level in the Skelton Township
ref. percentage with given level in Carlton 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 Carlton County and the Skelton Township
Skelton Township
Carlton County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.510742%00.867052%0.660722%0.867052%0.9%34.335260%4.462910%4.335260%4.3%1515.028902%16.351844%15.028902%15.0%529.248555%11.293069%9.248555%9.2%3225.433526%24.183218%25.433526%25.4%8840.462428%36.757195%40.462428%40.5%1403.468208%4.073774%3.468208%3.5%121.156069%1.398460%1.156069%1.2%40.000000%0.000000%0.0%0.308066%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 Carlton County at large.
Scope: population of Carlton County and the Skelton Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.511%0.51%31.228058%31.228058%+31.2%0.867%0.87%0.661%0.66%-2.860248%-2.860248%-2.9%4.335%4.34%4.463%4.46%-8.090479%-8.090479%-8.1%15.029%15.0%16.352%16.4%-18.104146%-18.104146%-18.1%9.249%9.25%11.293%11.3%5.170145%5.170145%+5.2%25.434%25.4%24.183%24.2%10.080293%10.080293%+10.1%40.462%40.5%36.757%36.8%-14.864981%-14.864981%-14.9%3.468%3.47%4.074%4.07%-17.332663%-17.332663%-17.3%1.156%1.16%1.398%1.40%-100.000000%-100.000000%-100.0%0.000%0%0.308%0.31%
% percentage with given level in the Skelton Township
ref. percentage with given level in Carlton 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 Carlton County and the Skelton Township
More Females More Males
Carlton County
Skelton Township
50%0%50%100%150%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-56.846951%-17.652293%-56.846951%57%36.709%36.7%23.404%23.4%15.558511%6.874919%15.558511%16%60.759%60.8%70.213%70.2%152.127660%26.916227%152.127660%152%2.532%2.53%6.383%6.38%
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 Carlton County and the Skelton Township
More Females More Males
Carlton County
Skelton Township
0%500%1,000%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-38.150848%1,000.000000%1,000.000000%> 1000%0.000%0%1.596%1.60%-35.985533%-13.617493%-35.985533%36%5.063%5.06%3.723%3.72%-75.647981%-16.113061%-75.647981%76%19.620%19.6%11.170%11.2%-73.904576%-15.547633%-73.904576%74%12.025%12.0%6.915%6.91%-13.699015%-11.067888%-13.699015%14%27.215%27.2%23.936%23.9%37.956644%19.744775%37.956644%38%33.544%33.5%46.277%46.3%68.085106%17.085361%68.085106%68%2.532%2.53%4.255%4.26%1,000.000000%53.221038%1,000.000000%> 1000%0.000%0%2.128%2.13%
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 Carlton County and the Skelton Township
Skelton Township
Carlton County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-348.108108%14.714508%8.108108%8.1%67415.662651%14.449723%15.662651%15.7%2616625.373134%20.075338%25.373134%25.4%17677.692308%19.149436%7.692308%7.7%339
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 Carlton County at large.
Scope: population of Carlton County and the Skelton Township
40%20%0%20%%ref.65+45-6435-4425-34-44.897183%-44.897183%44.9%8.108%8.11%14.715%14.7%8.394124%8.394124%8.4%15.663%15.7%14.450%14.4%26.389575%26.389575%26.4%25.373%25.4%20.075%20.1%-59.830109%-59.830109%59.8%7.692%7.69%19.149%19.1%
% percentage in the Skelton Township with a Bachelor's degree
ref percentage in Carlton 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 Carlton County and the Skelton Township
More Females More Males
Carlton County
Skelton Township
200%100%0%100%FM65+45-6435-4425-34162.500000%23.070181%162.500000%162.5%4.762%4.76%12.500%12.5%-267.857143%-267.857143%267.9%11.359268%28.571%28.6%7.767%7.77%-23.015873%-70.101550%-23.015873%23.0%27.778%27.8%22.581%22.6%-88.714476%54.545455%54.545455%54.5%5.882%5.88%9.091%9.09%
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 Carlton County and the Skelton Township
Skelton Township
Carlton County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$31,250.000000$64,000.000000$31,250.000000$31.3k185.202%5.20%$55,625.000000$45,462.000000$55,625.000000$55.6k5215.029%15.0%$41,136.000000$33,993.000000$41,136.000000$41.1k12034.682%34.7%$36,875.000000$29,676.000000$36,875.000000$36.9k14040.462%40.5%$40,000.000000$35,839.000000$40,000.000000$40.0k346100.000%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 Carlton County and the Skelton Township
Female Male
Carlton County
Skelton Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeH.S. Diploma2Total$-32,083.000000$-27,680.000000$-32,083.000000$32.1k$32,083.000000$17,084.000000$27,680.000000$15,853.000000$49,167.000000$49.2k6258$-21,250.000000$-24,488.000000$-21,250.000000$21.3k$21,250.000000$23,125.000000$24,488.000000$10,679.000000$44,375.000000$44.4k5387$-31,786.000000$-30,954.000000$-31,786.000000$31.8k$31,786.000000$11,785.000000$30,954.000000$10,541.000000$43,571.000000$43.6k158188
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 Carlton County and the Skelton Township
Skelton Township
Carlton County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma386.666667%82.984658%86.666667%86.7%5290.566038%77.700628%90.566038%90.6%9672.164948%67.486903%72.164948%72.2%7077.777778%50.830140%77.777778%77.8%7
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 Carlton County and the Skelton Township
Female Male
Carlton County
Skelton Township
Shaded bar tips show excess over facing bar.
0%20%40%60%80%100%MFWhite1Other1-2.547771%-4.480596%-2.547771%2.5%2.547771%2.828573%4.480596%1.013620%5.376344%5.4%104-0.000000%-10.095498%0.000000%0.0%0.000000%100.000000%10.095498%7.715911%100.000000%100.0%20
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 Carlton County and the Skelton Township
Female Male
Carlton County
Skelton Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1Other1-16.666667%-8.174098%-21.468630%-3.233724%-24.840764%24.8%16.666667%21.468630%16.666667%16.7%3139-0.000000%-10.477299%-2.073860%0.000000%0.0%0.000000%0.000000%10.477299%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Skelton Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
23.7%24.2%24.7%25.2%25.8%26.3%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
66.4%67.1%67.7%68.4%69.0%69.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.64%6.78%6.91%7.04%7.17%7.30%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.160%0.204%0.248%0.292%0.336%0.381%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.48%0.54%0.59%0.65%0.70%0.77%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.86%3.10%3.34%3.57%3.81%4.05%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.4%11.0%11.5%12.1%12.6%13.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.57%8.68%8.78%8.89%9.00%9.11%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
25.75%26.09%26.43%26.77%27.10%27.45%

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

Percentage of the population 25 years and older with given highest level of educational attainment
38.9%40.0%41.0%41.9%42.9%43.9%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
4.44%4.53%4.61%4.70%4.78%4.87%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.64%1.79%1.94%2.09%2.24%2.40%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.03%0.14%0.25%0.35%0.46%0.57%
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Educational Attainment by County Subdivision in the Duluth Area

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

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Skelton Township, selected other county subdivisions in the Duluth Area, and entities that contain the Skelton Township
0%5%10%Count#United States of AmericaUnited StatesBabbittHibbingTown of HawthorneHawthorneMidwestWhite TownshipWhiteMakinenEvelethTown of ParklandParklandMountain IronWest North CentralBarnum TownshipBarnumCarltonBrevator TownshipBrevatorTown of OaklandOaklandMoose LakeScanlonMinnesotaClinton TownshipClintonHoyt LakesPerch Lake TownshipPerch LkDuluthSand LakeDuluth Metro AreaDuluth AreaSuperiorVirginiaProctorTown of Solon SpringsSolon SpgsGnesen TownshipGnesenCloquetCarlton CountyCarltonGreenwood TownshipGreenwoodGrand Lake TownshipGrand LkHermantownLakewood TownshipLakewoodMoose Lake TownshipMoose LkElyBuhlTown of AmniconAmniconSkelton TownshipSkeltonLake NebagamonLk NebagamonTwin Lakes TownshipTwin LksChisholmRice LakeSolway TownshipSolwayMidway TownshipMidwayTown of SuperiorSuperiorBiwabikBlackhoof TownshipBlackhoofCanosia TownshipCanosiaFredenberg TownshipFredenbergTown of SummitSummitFayal TownshipFayalGilbertMorse TownshipMorseThomson TownshipThomsonDuluth TownshipDuluth13.020590%13.020590%13.0%27,818,38027.8M11.486486%11.486486%11.5%136110.569327%10.569327%10.6%1,164210.457516%10.457516%10.5%80310.244520%10.244520%10.2%4,641,8354.64M9.618644%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%56156.839187%6.839187%6.8%111166.736527%6.736527%6.7%45176.456536%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%442255.780300%5.780300%5.8%1,4265.519481%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%39334.624277%4.624277%4.6%164.529201%4.529201%4.5%38344.462475%4.462475%4.5%66354.375729%4.375729%4.4%150364.325956%4.325956%4.3%129374.216444%4.216444%4.2%60384.209542%4.209542%4.2%45394.113111%4.113111%4.1%64403.852327%3.852327%3.9%24413.795620%3.795620%3.8%26423.525836%3.525836%3.5%58433.399433%3.399433%3.4%36443.274216%3.274216%3.3%24453.232607%3.232607%3.2%46462.613374%2.613374%2.6%34471.979265%1.979265%2.0%21481.760970%1.760970%1.8%61491.720269%1.720269%1.7%2350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Skelton Township, selected other county subdivisions in the Duluth Area, and entities that contain the Skelton 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 SpgsDuluth Metro AreaDuluth AreaElyBlackhoof TownshipBlackhoofTwin Lakes TownshipTwin LksMidway TownshipMidwayCloquetBarnum TownshipBarnumGrand Lake TownshipGrand LkMoose Lake TownshipMoose LkEvelethTown of OaklandOaklandProctorSuperiorCarlton CountyCarltonMountain IronChisholmMakinenBiwabikSkelton TownshipSkeltonRice LakeTown of SuperiorSuperiorBrevator TownshipBrevatorPerch Lake TownshipPerch LkTown of ParklandParklandVirginiaSolway TownshipSolwayTown of SummitSummitTown 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%2201526.209545%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%4,0702721.986218%21.986218%22.0%5,42421.769384%21.769384%21.8%4382821.586931%21.586931%21.6%7402920.936170%20.936170%20.9%2463020.545746%20.545746%20.5%1283120.231214%20.231214%20.2%7019.986586%19.986586%20.0%5963219.922879%19.922879%19.9%3103319.706242%19.706242%19.7%1613419.610778%19.610778%19.6%1313519.186653%19.186653%19.2%1843618.904476%18.904476%18.9%1,1323718.341532%18.341532%18.3%2613818.144611%18.144611%18.1%1333917.777778%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#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Skelton Township, selected other county subdivisions in the Duluth Area, and entities that contain the Skelton Township
0%2%4%6%8%Count#Duluth TownshipDuluthGnesen TownshipGnesenLakewood TownshipLakewoodMorse TownshipMorseDuluthCanosia TownshipCanosiaFredenberg TownshipFredenbergHermantownMidway TownshipMidwayMinnesotaBarnum TownshipBarnumGrand Lake TownshipGrand LkUnited States of AmericaUnited StatesTown of OaklandOaklandFayal TownshipFayalWest North CentralMidwestLake NebagamonLk NebagamonDuluth Metro AreaDuluth AreaTown of Solon SpringsSolon SpgsBiwabikMoose Lake TownshipMoose LkGreenwood TownshipGreenwoodTown of ParklandParklandThomson TownshipThomsonPerch Lake TownshipPerch LkRice LakeSuperiorElySand LakeTown of HawthorneHawthorneProctorMountain IronCloquetCarlton CountyCarltonVirginiaHibbingHoyt LakesEvelethTwin Lakes TownshipTwin LksSolway TownshipSolwayTown of SuperiorSuperiorTown of AmniconAmniconBlackhoof TownshipBlackhoofSkelton TownshipSkeltonGilbertMakinenBrevator TownshipBrevatorWhite TownshipWhiteClinton TownshipClintonMoose LakeCarltonChisholmBabbittScanlonBuhlTown of SummitSummit8.526552%8.526552%8.5%11416.333073%6.333073%6.3%8125.787781%5.787781%5.8%9034.901037%4.901037%4.9%5244.278609%4.278609%4.3%2,27153.829787%3.829787%3.8%6363.682720%3.682720%3.7%3973.545682%3.545682%3.5%24183.461179%3.461179%3.5%3793.458748%3.458748%3.5%126,664127k3.453453%3.453453%3.5%23103.436754%3.436754%3.4%72113.336158%3.336158%3.3%7,127,6737.13M3.222222%3.222222%3.2%29123.092059%3.092059%3.1%44132.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.860548%2.860548%2.9%24142.399498%2.399498%2.4%4,5932.352941%2.352941%2.4%18152.086677%2.086677%2.1%13162.040816%2.040816%2.0%17171.948052%1.948052%1.9%18181.876955%1.876955%1.9%18191.876443%1.876443%1.9%65201.796407%1.796407%1.8%12211.542589%1.542589%1.5%46221.525582%1.525582%1.5%277231.508972%1.508972%1.5%37241.457726%1.457726%1.5%10251.437908%1.437908%1.4%11261.415929%1.415929%1.4%32271.391650%1.391650%1.4%28281.353482%1.353482%1.4%103291.171463%1.171463%1.2%2891.169005%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%6380.867052%0.867052%0.9%30.845503%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#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Skelton Township, selected other county subdivisions in the Duluth Area, and entities that contain the Skelton Township
Female
Male
10x5x0x5x10xFM#ThomsonSand LakeMidwayMorseFayalLk NebagamonMoose LakeSummitSkeltonDuluthSuperiorCanosiaFredenbergClintonVirginiaBarnumGnesenBabbittMoose LkMakinenHawthorneTwin LksSolwayRice LakeSuperiorCarltonProctorDuluthBiwabikGrand LkGreenwoodDuluth AreaWest North CentralMinnesotaMidwestUnited StatesCarltonCloquetOaklandBuhlHermantownEvelethSolon SpgsScanlonParklandBrevatorAmniconBlackhoofHibbingChisholmLakewoodWhiteElyMountain IronHoyt LakesPerch LkGilbert-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.559%3.56%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.139%11.1%2-1.000000x-1.000000x5.733275x5.733275x5.73x1.198%1.20%6.866%6.87%3-1.000000x-1.000000x5.090592x5.090592x5.09x0.616%0.62%3.136%3.14%4-1.000000x-1.000000x4.396482x4.396482x4.40x1.170%1.17%5.142%5.14%5-1.000000x-1.000000x2.727529x2.727529x2.73x2.415%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-1.000000x2.521277x2.521277x2.52x2.532%2.53%6.383%6.38%-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-1.000000x1.269162x1.269162x1.27x5.075%5.08%6.441%6.44%-1.000000x-1.000000x1.249189x1.249189x1.25x5.506%5.51%6.878%6.88%25-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%26-1.000000x-1.000000x1.235045x1.235045x1.24x3.425%3.42%4.230%4.23%27-1.000000x-1.000000x1.226087x1.226087x1.23x4.891%4.89%5.996%6.00%28-1.000000x-1.000000x1.214043x1.214043x1.21x4.966%4.97%6.029%6.03%29-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%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-1.000000x1.036649x1.036649x1.04x8.333%8.33%8.639%8.64%30-1.000000x-1.000000x1.018960x1.018960x1.02x5.756%5.76%5.865%5.86%31-1.064220x-1.064220x1.06x1.000000x1.000000x8.028%8.03%7.543%7.54%32-1.078040x-1.078040x1.08x1.000000x1.000000x5.172%5.17%4.798%4.80%33-1.078221x-1.078221x1.08x1.000000x1.000000x5.625%5.63%5.217%5.22%34-1.124637x-1.124637x1.12x1.000000x1.000000x10.054%10.1%8.940%8.94%35-1.144565x-1.144565x1.14x1.000000x1.000000x6.522%6.52%5.698%5.70%36-1.173618x-1.173618x1.17x1.000000x1.000000x8.277%8.28%7.053%7.05%37-1.203743x-1.203743x1.20x1.000000x1.000000x10.381%10.4%8.624%8.62%38-1.269034x-1.269034x1.27x1.000000x1.000000x8.911%8.91%7.022%7.02%39-1.322183x-1.322183x1.32x1.000000x1.000000x5.301%5.30%4.009%4.01%40-1.338558x-1.338558x1.34x1.000000x1.000000x4.389%4.39%3.279%3.28%41-1.391439x-1.391439x1.39x1.000000x1.000000x12.219%12.2%8.781%8.78%42-1.569548x-1.569548x1.57x1.000000x1.000000x5.290%5.29%3.370%3.37%43-1.602475x-1.602475x1.60x1.000000x1.000000x6.436%6.44%4.016%4.02%44-1.634583x-1.634583x1.63x1.000000x1.000000x12.039%12.0%7.365%7.36%45-1.970142x-1.970142x1.97x1.000000x1.000000x6.641%6.64%3.371%3.37%46-2.054244x-2.054244x2.05x1.000000x1.000000x12.488%12.5%6.079%6.08%47-2.254260x-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#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Skelton Township, selected other county subdivisions in the Duluth Area, and entities that contain the Skelton Township
Female
Male
10x5x0x5x10xFM#SkeltonChisholmMountain IronHoyt LakesMakinenCarltonBlackhoofSand LakeLk NebagamonMoose LkHibbingFayalVirginiaFredenbergEvelethParklandDuluthGreenwoodGnesenMorseAmniconMidwestSolwayWest North CentralUnited StatesSuperiorMinnesotaSolon SpgsDuluthRice LakeDuluth AreaMidwayBarnumElyHermantownBiwabikOaklandLakewoodPerch LkGrand LkBrevatorTwin LksSuperiorCanosiaGilbertCarltonWhiteHawthorneCloquetThomsonProctorMoose LakeClinton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.596%1.60%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.061%0.06%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.837%2.84%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.093%2.09%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.382%1.38%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.524%0.52%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.639%1.64%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.532%2.53%7-1.000000x-1.000000x6.818824x6.818824x6.82x0.725%0.72%4.941%4.94%8-1.000000x-1.000000x5.149832x5.149832x5.15x0.686%0.69%3.535%3.54%9-1.000000x-1.000000x4.562744x4.562744x4.56x0.419%0.42%1.911%1.91%10-1.000000x-1.000000x3.599459x3.599459x3.60x1.316%1.32%4.736%4.74%11-1.000000x-1.000000x3.064378x3.064378x3.06x0.595%0.60%1.824%1.82%12-1.000000x-1.000000x2.795139x2.795139x2.80x1.863%1.86%5.208%5.21%13-1.000000x-1.000000x2.569457x2.569457x2.57x0.614%0.61%1.578%1.58%14-1.000000x-1.000000x2.519918x2.519918x2.52x1.059%1.06%2.669%2.67%15-1.000000x-1.000000x2.077970x2.077970x2.08x5.539%5.54%11.510%11.5%16-1.000000x-1.000000x1.841996x1.841996x1.84x1.354%1.35%2.495%2.49%17-1.000000x-1.000000x1.790302x1.790302x1.79x4.538%4.54%8.125%8.13%18-1.000000x-1.000000x1.746772x1.746772x1.75x3.491%3.49%6.098%6.10%19-1.000000x-1.000000x1.631289x1.631289x1.63x0.723%0.72%1.179%1.18%20-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.588095x1.588095x1.59x0.750%0.75%1.190%1.19%21-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.516809x1.516809x1.52x1.222%1.22%1.853%1.85%22-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%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%39-1.954634x-1.954634x1.95x1.000000x1.000000x1.566%1.57%0.801%0.80%-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 Skelton Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Skelton Township. The least populous of the compared county subdivisions has a population of 22,226.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Skelton Township, selected other county subdivisions in Minnesota, and entities that contain the Skelton Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleDuluthDuluth Metro AreaDuluth AreaRochesterBurnsvilleHastingsMankatoCarlton CountyCarltonNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveSkelton TownshipSkeltonElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.174633%9.174633%9.2%1,278,0511.28M7.914094%7.914094%7.9%1,20597.910263%7.910263%7.9%2,172107.772967%7.772967%7.8%1,831117.542599%7.542599%7.5%1,837127.540581%7.540581%7.5%4,729137.521396%7.521396%7.5%2,285147.446682%7.446682%7.4%1,250157.376055%7.376055%7.4%270,121270k7.196882%7.196882%7.2%1,237167.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.456536%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%1,220235.780300%5.780300%5.8%1,4265.686185%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%1,123304.624277%4.624277%4.6%164.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Skelton Township, selected other county subdivisions in Minnesota, and entities that contain the Skelton 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. CloudMidwestRamseyHastingsOwatonnaFridleyDuluth Metro AreaDuluth AreaCoon RapidsCarlton CountyCarltonAustinBrooklyn CenterBrooklyn CtrSkelton TownshipSkeltonFaribault68.687093%68.687093%68.7%24,70424.7k162.175545%62.175545%62.2%26,99627.0k260.253514%60.253514%60.3%9,602358.886871%58.886871%58.9%22,69522.7k458.692207%58.692207%58.7%25,55425.6k557.488156%57.488156%57.5%30,94330.9k655.889276%55.889276%55.9%19,70619.7k754.601451%54.601451%54.6%10,46010.5k850.665018%50.665018%50.7%23,35123.4k950.398824%50.398824%50.4%22,62022.6k1048.278766%48.278766%48.3%18,34418.3k1147.670489%47.670489%47.7%127,663128k1247.267635%47.267635%47.3%7,2571346.445382%46.445382%46.4%11,44611.4k1445.472261%45.472261%45.5%7,4671544.248557%44.248557%44.2%7,1281644.076986%44.076986%44.1%6,5041743.718250%43.718250%43.7%32,70332.7k1843.384056%43.384056%43.4%14,79714.8k1943.102990%43.102990%43.1%8,1152040.791530%40.791530%40.8%25,58225.6k2139.969357%39.969357%40.0%74,08874.1k2238.511617%38.511617%38.5%15,91315.9k2337.561317%37.561317%37.6%5,8962437.153999%37.153999%37.2%8,7652536.544602%36.544602%36.5%9,2712636.468898%36.468898%36.5%8,8822736.144174%36.144174%36.1%7,5312835.764315%35.764315%35.8%4,9532935.389427%35.389427%35.4%18,78418.8k3034.649346%34.649346%34.6%8,1623134.244056%34.244056%34.2%5,2143234.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673333.633790%33.633790%33.6%5,8213433.485172%33.485172%33.5%13,82013.8k3531.447341%31.447341%31.4%5,9363630.760391%30.760391%30.8%4,8183730.616372%30.616372%30.6%6,9643830.400334%30.400334%30.4%5,1033930.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M30.016753%30.016753%30.0%8,2424029.516142%29.516142%29.5%14,55514.6k4129.150757%29.150757%29.2%8,8564228.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534328.059816%28.059816%28.1%4,3724427.682104%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%11,19111.2k4721.986218%21.986218%22.0%5,42421.410083%21.410083%21.4%3,4744820.631018%20.631018%20.6%4,0284920.231214%20.231214%20.2%7018.795256%18.795256%18.8%3,01150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Skelton Township, selected other county subdivisions in Minnesota, and entities that contain the Skelton Township
0%2%4%6%8%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvilleDuluth Metro AreaDuluth AreaPrior LakeRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalOwatonnaAndoverFaribaultFarmingtonElk RiverCoon RapidsCarlton CountyCarltonBrooklyn CenterBrooklyn CtrHastingsSkelton TownshipSkelton11.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968232.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,009242.893416%2.893416%2.9%1,311,0191.31M2.884260%2.884260%2.9%468252.874170%2.874170%2.9%463262.692552%2.692552%2.7%466272.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.500485%2.500485%2.5%1,032302.405615%2.405615%2.4%994312.399498%2.399498%2.4%4,5932.174045%2.174045%2.2%357322.134725%2.134725%2.1%315332.103612%2.103612%2.1%389342.003695%2.003695%2.0%488351.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.769443%1.769443%1.8%334381.727928%1.727928%1.7%283391.673021%1.673021%1.7%825401.653038%1.653038%1.7%376411.638270%1.638270%1.6%275421.605771%1.605771%1.6%276431.558854%1.558854%1.6%314441.510612%1.510612%1.5%242451.509134%1.509134%1.5%209461.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.171463%1.171463%1.2%2891.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.867052%0.867052%0.9%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Skelton Township, selected other county subdivisions in Minnesota, and entities that contain the Skelton Township
Female
Male
1x0x1x2xFM#SkeltonFarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCarltonCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultDuluth AreaWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x2.521277x2.521277x2.52x2.532%2.53%6.383%6.38%-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-1.000000x1.269162x1.269162x1.27x5.075%5.08%6.441%6.44%-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.151611x1.151611x1.15x15.625%15.6%17.994%18.0%18-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%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-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%22-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%23-1.000000x-1.000000x1.078552x1.078552x1.08x7.176%7.18%7.740%7.74%24-1.000000x-1.000000x1.037512x1.037512x1.04x4.848%4.85%5.030%5.03%25-1.000000x-1.000000x1.032815x1.032815x1.03x3.432%3.43%3.544%3.54%26-1.000159x-1.000159x1.00x1.000000x1.000000x3.565%3.56%3.564%3.56%27-1.021534x-1.021534x1.02x1.000000x1.000000x7.996%8.00%7.828%7.83%28-1.041504x-1.041504x1.04x1.000000x1.000000x6.423%6.42%6.167%6.17%29-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%30-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%31-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%32-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%33-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%34-1.106734x-1.106734x1.11x1.000000x1.000000x8.152%8.15%7.366%7.37%35-1.109043x-1.109043x1.11x1.000000x1.000000x6.154%6.15%5.549%5.55%36-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%37-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%38-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%39-1.137927x-1.137927x1.14x1.000000x1.000000x8.019%8.02%7.047%7.05%40-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%41-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%42-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%43-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%44-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%45-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%46-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%47-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%48-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%49-1.669127x-1.669127x1.67x1.000000x1.000000x7.046%7.05%4.221%4.22%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Skelton Township, selected other county subdivisions in Minnesota, and entities that contain the Skelton Township
Female
Male
0x5x10xFM#SkeltonWinonaWhite Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaDuluthSt. Louis PkFaribaultInver Grv HtsDuluth AreaEaganBrooklyn CtrSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenCarltonElk River-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.596%1.60%-1.000000x-1.000000x3.549966x3.549966x3.55x1.887%1.89%6.698%6.70%1-1.000000x-1.000000x2.892036x2.892036x2.89x1.445%1.45%4.179%4.18%2-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%3-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%4-1.000000x-1.000000x2.158302x2.158302x2.16x4.894%4.89%10.562%10.6%5-1.000000x-1.000000x2.044267x2.044267x2.04x2.469%2.47%5.048%5.05%6-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%7-1.000000x-1.000000x1.989459x1.989459x1.99x1.358%1.36%2.702%2.70%8-1.000000x-1.000000x1.952817x1.952817x1.95x7.877%7.88%15.382%15.4%9-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%10-1.000000x-1.000000x1.843636x1.843636x1.84x4.554%4.55%8.396%8.40%11-1.000000x-1.000000x1.842122x1.842122x1.84x1.143%1.14%2.106%2.11%12-1.000000x-1.000000x1.831940x1.831940x1.83x2.992%2.99%5.480%5.48%13-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%14-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%15-1.000000x-1.000000x1.816195x1.816195x1.82x2.593%2.59%4.709%4.71%16-1.000000x-1.000000x1.778120x1.778120x1.78x5.399%5.40%9.600%9.60%17-1.000000x-1.000000x1.712068x1.712068x1.71x3.517%3.52%6.021%6.02%18-1.000000x-1.000000x1.656189x1.656189x1.66x6.670%6.67%11.046%11.0%19-1.000000x-1.000000x1.655114x1.655114x1.66x1.942%1.94%3.214%3.21%20-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%5.63%8.987%8.99%21-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.583257x1.583257x1.58x4.465%4.46%7.069%7.07%22-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.559618x1.559618x1.56x5.912%5.91%9.220%9.22%23-1.000000x-1.000000x1.551084x1.551084x1.55x1.481%1.48%2.298%2.30%24-1.000000x-1.000000x1.548982x1.548982x1.55x2.267%2.27%3.511%3.51%25-1.000000x-1.000000x1.544665x1.544665x1.54x2.633%2.63%4.067%4.07%26-1.000000x-1.000000x1.544387x1.544387x1.54x2.283%2.28%3.525%3.53%27-1.000000x-1.000000x1.532997x1.532997x1.53x1.305%1.30%2.000%2.00%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.506415x1.506415x1.51x1.028%1.03%1.548%1.55%29-1.000000x-1.000000x1.492523x1.492523x1.49x1.332%1.33%1.989%1.99%30-1.000000x-1.000000x1.481015x1.481015x1.48x2.798%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%49-1.954634x-1.954634x1.95x1.000000x1.000000x1.566%1.57%0.801%0.80%-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 Skelton Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Skelton Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Skelton Township, selected other county subdivisions in the Midwest, and entities that contain the Skelton Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaLincolnWashington TownshipWashingtonOlatheDuluth Metro AreaDuluth AreaFargoCedar RapidsCarlton CountyCarltonYork TownshipMilton TownshipMiltonMadisonSkelton TownshipSkeltonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.376055%7.376055%7.4%270,121270k7.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%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%5,099435.780300%5.780300%5.8%1,4265.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.624277%4.624277%4.6%164.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Skelton Township, selected other county subdivisions in the Midwest, and entities that contain the Skelton 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 CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoDuluth Metro AreaDuluth AreaWorth TownshipWorthMilwaukeeCarlton CountyCarltonRockford TownshipRockfordSkelton TownshipSkeltonAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2334.240609%34.240609%34.2%1,253,9371.25M33.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%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%85,81285.8k3621.986218%21.986218%22.0%5,42421.592552%21.592552%21.6%25,23525.2k3720.231214%20.231214%20.2%7020.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Skelton Township, selected other county subdivisions in the Midwest, and entities that contain the Skelton Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaDuluth Metro AreaDuluth AreaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneCarlton CountyCarltonWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonSkelton TownshipSkelton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.458748%3.458748%3.5%126,664127k3.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.399498%2.399498%2.4%4,5932.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.171463%1.171463%1.2%2891.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.867052%0.867052%0.9%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Skelton Township, selected other county subdivisions in the Midwest, and entities that contain the Skelton Township
Female
Male
1x0x1x2xFM#SkeltonCarltonCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipDuluth AreaWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.521277x2.521277x2.52x2.532%2.53%6.383%6.38%-1.000000x-1.000000x1.269162x1.269162x1.27x5.075%5.08%6.441%6.44%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.145804x1.145804x1.15x5.958%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-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Skelton Township, selected other county subdivisions in the Midwest, and entities that contain the Skelton Township
Female
Male
0x5x10xFM#SkeltonRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsPalatineSchaumburgColumbusDuluth AreaMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonCarlton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.596%1.60%-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-1.000000x1.481288x1.481288x1.48x2.641%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%50-1.954634x-1.954634x1.95x1.000000x1.000000x1.566%1.57%0.801%0.80%
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 Skelton Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Skelton Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Skelton Township, selected other county subdivisions in the United States, and entities that contain the Skelton Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleNortheast TarrantNE TarrantMinnesotaDuluth Metro AreaDuluth AreaCarlton CountyCarltonPlanoSeattle EastSkelton TownshipSkelton28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.376055%7.376055%7.4%270,121270k6.391349%6.391349%6.4%12,23412.2k5.780300%5.780300%5.8%1,4265.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.624277%4.624277%4.6%16
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Skelton Township, selected other county subdivisions in the United States, and entities that contain the Skelton 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…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaDuluth Metro AreaDuluth AreaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoCarlton CountyCarltonLas VegasEl PasoSkelton TownshipSkeltonBronxSan 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%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.209545%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%94,05694.1k4421.986218%21.986218%22.0%5,42421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4620.231214%20.231214%20.2%7019.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#45

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Skelton Township, selected other county subdivisions in the United States, and entities that contain the Skelton Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…MinnesotaBrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyDuluth Metro AreaDuluth AreaOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitCarlton CountyCarltonSkelton TownshipSkelton12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.458748%3.458748%3.5%126,664127k3.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.399498%2.399498%2.4%4,5932.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693501.171463%1.171463%1.2%2890.867052%0.867052%0.9%3
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Skelton Township, selected other county subdivisions in the United States, and entities that contain the Skelton Township
Female
Male
1x0x1x2xFM#Skelton1, CharlotteCarltonDetroitBaltimoreTulsaSW DallasDuluth AreaWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.521277x2.521277x2.52x2.532%2.53%6.383%6.38%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.269162x1.269162x1.27x5.075%5.08%6.441%6.44%-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-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Skelton Township, selected other county subdivisions in the United States, and entities that contain the Skelton Township
Female
Male
0x5x10xFM#SkeltonEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantMinnesotaTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusDuluth AreaMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitCarlton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.596%1.60%-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-1.000000x1.484269x1.484269x1.48x2.293%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%50-1.954634x-1.954634x1.95x1.000000x1.000000x1.566%1.57%0.801%0.80%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
Minnesota
County:
Carlton
Metro Area:
Duluth Area
ZIP Codes:
55707, 55757
Unified School Districts:
Barnum, Cromwell-Wright
Congressional District:
MN-8
State Senate District:
MN-11
State House District:
MN-11A
Neighboring Cities:
Barnum
Neighboring Townships:
Barnum, Kalevala, Mahtowa, Moose Lake, Silver
Neighboring Unincorporated Places:
Mahtowa
Neighboring Unorganized Territories:
North Carlton
Nearby Townships:
Atkinson, Automba, Eagle, Lakeview, Split Rock, Windemere