Educational Attainment in the Cokato Township, Wright County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wright County and the Cokato Township
Cokato Township
Wright County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma235.228849%40.146407%35.228849%35.2%25458.252427%54.085079%58.252427%58.3%4206.518724%5.768514%6.518724%6.5%47
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 Wright County at large.
Scope: population of Wright County and the Cokato Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-12.249061%-12.249061%-12.2%35.229%35.2%40.146%40.1%7.705171%7.705171%+7.7%58.252%58.3%54.085%54.1%13.005252%13.005252%+13.0%6.519%6.52%5.769%5.77%
% percentage with given level in the Cokato Township
ref. percentage with given level in Wright 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 Wright County and the Cokato Township
Cokato Township
Wright County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.277393%0.754871%0.277393%0.3%21.803051%1.097448%1.803051%1.8%134.438280%5.056916%4.438280%4.4%3216.920943%19.851430%16.920943%16.9%12211.789182%13.385742%11.789182%11.8%8521.497920%25.305014%21.497920%21.5%15536.754508%28.780066%36.754508%36.8%2654.160888%4.055630%4.160888%4.2%301.386963%1.247701%1.386963%1.4%100.970874%0.465183%0.970874%1.0%7
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 Wright County at large.
Scope: population of Wright County and the Cokato Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-63.253001%-63.253001%-63.3%0.277%0.28%0.755%0.75%64.294905%64.294905%+64.3%1.803%1.80%1.097%1.10%-12.233458%-12.233458%-12.2%4.438%4.44%5.057%5.06%-14.762094%-14.762094%-14.8%16.921%16.9%19.851%19.9%-11.927317%-11.927317%-11.9%11.789%11.8%13.386%13.4%-15.044821%-15.044821%-15.0%21.498%21.5%25.305%25.3%27.708213%27.708213%+27.7%36.755%36.8%28.780%28.8%2.595355%2.595355%+2.6%4.161%4.16%4.056%4.06%11.161441%11.161441%+11.2%1.387%1.39%1.248%1.25%108.707759%108.707759%+108.7%0.971%0.97%0.465%0.47%
% percentage with given level in the Cokato Township
ref. percentage with given level in Wright 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 Wright County and the Cokato Township
More Females More Males
Wright County
Cokato Township
0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-16.290265%-13.705220%-16.290265%16%38.053%38.1%32.723%32.7%0.455790%6.767869%0.455790%0%58.112%58.1%58.377%58.4%132.098268%32.330282%132.098268%132%3.835%3.83%8.901%8.90%
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 Wright County and the Cokato Township
More Females More Males
Wright County
Cokato Township
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-1,000.000000%-1,000.000000%> 1000%75.932076%0.590%0.59%0.000%0%1,000.000000%45.520701%1,000.000000%> 1000%0.000%0%3.403%3.40%-76.158200%14.098728%14.098728%0k%4.130%4.13%4.712%4.71%-41.898831%-8.788415%-41.898831%0k%20.059%20.1%14.136%14.1%-26.769912%-11.998050%-26.769912%0k%13.274%13.3%10.471%10.5%-29.900033%-29.900033%0k%0.820180%24.484%24.5%18.848%18.8%17.546156%12.294770%17.546156%0k%33.628%33.6%39.529%39.5%191.585639%44.830745%191.585639%0k%2.065%2.06%6.021%6.02%-9.905626%254.973822%254.973822%0k%0.590%0.59%2.094%2.09%-50.245821%-50.245821%0k%68.521369%1.180%1.18%0.785%0.79%
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 Wright County and the Cokato Township
Cokato Township
Wright County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3410.000000%12.513774%10.000000%10.0%1313015.428571%18.445552%15.428571%15.4%5435017.197452%24.968112%17.197452%17.2%2715733.333333%23.298508%33.333333%33.3%2884
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 Wright County at large.
Scope: population of Wright County and the Cokato Township
20%0%20%40%%ref.65+45-6435-4425-34-20.088057%-20.088057%20.1%10.000%10.0%12.514%12.5%-16.356143%-16.356143%16.4%15.429%15.4%18.446%18.4%-31.122337%-31.122337%31.1%17.197%17.2%24.968%25.0%43.070676%43.070676%43.1%33.333%33.3%23.299%23.3%
% percentage in the Cokato Township with a Bachelor's degree
ref percentage in Wright 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 Wright County and the Cokato Township
More Females More Males
Wright County
Cokato Township
100%0%100%200%300%FM65+45-6435-4425-34303.333333%6.540774%303.333333%303.3%3.636%3.64%14.667%14.7%-32.352941%-32.352941%32.4%12.911107%17.647%17.6%13.333%13.3%-159.666667%-26.821616%-159.666667%159.7%25.333%25.3%9.756%9.76%-78.321678%-39.683565%-78.321678%78.3%43.590%43.6%24.444%24.4%
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 Wright County and the Cokato Township
Cokato Township
Wright County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$47,273.000000$70,052.000000$47,273.000000$47.3k476.519%6.52%$42,500.000000$59,121.000000$42,500.000000$42.5k12216.921%16.9%$40,500.000000$41,665.000000$40,500.000000$40.5k24033.287%33.3%$45,179.000000$35,401.000000$45,179.000000$45.2k26536.755%36.8%$29,583.000000$27,467.000000$29,583.000000$29.6k476.519%6.52%$43,077.000000$43,805.000000$43,077.000000$43.1k721100.000%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 Wright County and the Cokato Township
Female Male
Wright County
Cokato Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-46,591.000000$-7,159.000000$-64,864.000000$-53,750.000000$53.8k$46,591.000000$64,864.000000$15,382.000000$46,591.000000$46.6k1631$-17,188.000000$-41,966.000000$-17,188.000000$17.2k$17,188.000000$69,895.000000$41,966.000000$31,677.000000$87,083.000000$87.1k6854$-29,375.000000$-32,507.000000$-29,375.000000$29.4k$29,375.000000$35,375.000000$32,507.000000$20,399.000000$64,750.000000$64.8k128112$-23,750.000000$-24,912.000000$-23,750.000000$23.8k$23,750.000000$26,705.000000$24,912.000000$18,655.000000$50,455.000000$50.5k114151$-25,000.000000$-34,023.000000$-25,000.000000$25.0k$25,000.000000$35,139.000000$34,023.000000$18,552.000000$60,139.000000$60.1k339382
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 Wright County and the Cokato Township
Cokato Township
Wright County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.064935%89.742928%85.064935%85.1%13179.523810%84.855895%79.523810%79.5%16779.381443%78.356319%79.381443%79.4%15475.757576%68.670560%75.757576%75.8%25
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 Wright County and the Cokato Township
Female Male
Wright County
Cokato Township
Shaded bar tips show excess over facing bar.
4%2%0%2%4%6%8%MFWhite1-2.686567%-4.486420%-2.686567%2.7%2.686567%6.332000%4.486420%1.759119%9.018568%9.0%349
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 Wright County and the Cokato Township
Female Male
Wright County
Cokato Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1-22.546419%-2.528208%-25.025492%-3.731475%-25.074627%25.1%22.546419%25.025492%22.546419%22.5%8584
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Minneapolis Area

There are 415 county subdivisions in the Minneapolis Area. This section compares the Cokato Township to the 50 most populous county subdivisions in the Minneapolis Area and to those entities that contain or substantially overlap with the Cokato Township. The least populous of the compared county subdivisions has a population of 18,077.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Cokato Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Cokato Township
0%5%10%15%Count#Brooklyn CenterBrooklyn CtrColumbia HeightsColumbia HtsSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisWest St. PaulMidwestBrooklyn ParkSouth St. PaulS St. PaulFridleyNew HopeWest North CentralMaplewoodHopkinsInver Grove HeightsInver Grv HtsShakopeeBloomingtonCrystalMinnesotaCoon RapidsRosevilleMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisZIP Code 55321ZIP 55321Cokato TownshipCokatoDassel-Cokato Public School DistrictDassel-CokatoBurnsvilleHastings101300Tract 101300Wright CountyWrightNew BrightonOakdaleChaskaBlaineApple ValleyCottage GroveElk RiverSavageForest LakeFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleGolden ValleyLino LakesEden PrairieShoreviewChamplinWoodburyStillwaterPlymouthMinnetonkaChanhassenMaple GroveEdina16.036673%16.036673%16.0%3,131113.892638%13.892638%13.9%1,853213.278342%13.278342%13.3%24,61324.6k313.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795410.958428%10.958428%11.0%29,34729.3k510.442611%10.442611%10.4%1,392610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.989540%9.989540%10.0%1,33789.793424%9.793424%9.8%1,81199.672290%9.672290%9.7%1,399109.174633%9.174633%9.2%1,278,0511.28M7.910263%7.910263%7.9%2,172117.780654%7.780654%7.8%962127.772967%7.772967%7.8%1,831137.542599%7.542599%7.5%1,837147.540581%7.540581%7.5%4,729157.446682%7.446682%7.4%1,250167.376055%7.376055%7.4%270,121270k7.021578%7.021578%7.0%3,023176.821133%6.821133%6.8%1,681186.766618%6.766618%6.8%158,334158k6.628329%6.628329%6.6%2196.518724%6.518724%6.5%476.339341%6.339341%6.3%4086.224589%6.224589%6.2%2,572196.110006%6.110006%6.1%952206.094808%6.094808%6.1%1895.768514%5.768514%5.8%4,7995.686185%5.686185%5.7%873215.387794%5.387794%5.4%1,017225.326215%5.326215%5.3%858235.219035%5.219035%5.2%2,154244.998974%4.998974%5.0%1,705254.937132%4.937132%4.9%1,123264.603205%4.603205%4.6%721274.312955%4.312955%4.3%812284.235165%4.235165%4.2%541294.216911%4.216911%4.2%584304.052866%4.052866%4.1%1,429314.031177%4.031177%4.0%812323.724508%3.724508%3.7%610333.667395%3.667395%3.7%1,646343.645924%3.645924%3.6%631353.629499%3.629499%3.6%596363.564652%3.564652%3.6%526373.487209%3.487209%3.5%1,325383.364544%3.364544%3.4%539393.260146%3.260146%3.3%441403.205970%3.205970%3.2%1,392413.194655%3.194655%3.2%612423.108874%3.108874%3.1%488433.024874%3.024874%3.0%1,317442.851829%2.851829%2.9%368452.612169%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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Cokato Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Cokato Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkGolden ValleyShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonStillwaterRosevillePrior LakeChaskaRosemountApple ValleySavageHopkinsLino LakesBloomingtonMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisSt. PaulBurnsvilleChamplinRichfieldShakopeeFarmingtonInver Grove HeightsInver Grv HtsMinnesotaAndoverNew HopeWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkMidwestRamseyWest St. PaulHastingsFridleyForest LakeWright CountyWrightCoon RapidsSouth St. PaulS St. PaulCokato TownshipCokatoColumbia HeightsColumbia HtsDassel-Cokato Public School DistrictDassel-CokatoBrooklyn CenterBrooklyn CtrZIP Code 55321ZIP 55321101300Tract 10130068.687093%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%19,70619.7k755.574282%55.574282%55.6%8,903854.601451%54.601451%54.6%10,46010.5k950.665018%50.665018%50.7%23,35123.4k1050.398824%50.398824%50.4%22,62022.6k1148.278766%48.278766%48.3%18,34418.3k1247.670489%47.670489%47.7%127,663128k1347.267635%47.267635%47.3%7,2571447.233416%47.233416%47.2%6,0951546.445382%46.445382%46.4%11,44611.4k1645.472261%45.472261%45.5%7,4671744.248557%44.248557%44.2%7,1281844.076986%44.076986%44.1%6,5041943.384056%43.384056%43.4%14,79714.8k2043.102990%43.102990%43.1%8,1152141.531867%41.531867%41.5%5,1352241.043838%41.043838%41.0%5,5522340.791530%40.791530%40.8%25,58225.6k2439.983752%39.983752%40.0%935,591936k39.969357%39.969357%40.0%74,08874.1k2538.511617%38.511617%38.5%15,91315.9k2637.561317%37.561317%37.6%5,8962736.544602%36.544602%36.5%9,2712836.468898%36.468898%36.5%8,8822935.764315%35.764315%35.8%4,9533034.649346%34.649346%34.6%8,1623134.240609%34.240609%34.2%1,253,9371.25M34.091248%34.091248%34.1%6,8673234.050055%34.050055%34.1%4,9253333.633790%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%14,55514.6k4128.952816%28.952816%29.0%13,118,64213.1M28.410062%28.410062%28.4%4,6534228.372093%28.372093%28.4%3,7824328.059816%28.059816%28.1%4,3724427.190136%27.190136%27.2%5,0284527.007985%27.007985%27.0%3,4504626.760665%26.760665%26.8%22,26322.3k25.993543%25.993543%26.0%11,19111.2k4724.043634%24.043634%24.0%3,2184823.439667%23.439667%23.4%16921.704903%21.704903%21.7%2,8954921.208825%21.208825%21.2%1,36520.631018%20.631018%20.6%4,0285018.825666%18.825666%18.8%62218.219929%18.219929%18.2%565
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Cokato Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Cokato Township
0%5%10%Count#EdinaGolden ValleyShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkStillwaterNew BrightonEaganMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaUnited States of AmericaUnited StatesBloomingtonWest North CentralLino LakesApple ValleyMidwestChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsWest St. PaulBlaineBurnsvilleForest LakePrior LakeRosemountHopkinsFridleyCokato TownshipCokatoNew HopeShakopeeRichfieldSavageWright CountyWrightOakdaleRamseySouth St. PaulS St. PaulBrooklyn ParkCottage GroveCrystalDassel-Cokato Public School DistrictDassel-CokatoAndoverZIP Code 55321ZIP 55321Farmington101300Tract 101300Elk RiverColumbia HeightsColumbia HtsCoon RapidsBrooklyn CenterBrooklyn CtrHastings11.352388%11.352388%11.4%4,08319.737828%9.737828%9.7%1,56027.532495%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%1,851115.184439%5.184439%5.2%669124.722204%4.722204%4.7%725134.400428%4.400428%4.4%1,975143.980678%3.980678%4.0%93,14593.1k3.852912%3.852912%3.9%614153.692855%3.692855%3.7%1,702163.590939%3.590939%3.6%986173.521423%3.521423%3.5%1,338183.510225%3.510225%3.5%551193.458748%3.458748%3.5%126,664127k3.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968202.978981%2.978981%3.0%414,980415k2.971834%2.971834%3.0%402212.958337%2.958337%3.0%1,009222.893416%2.893416%2.9%1,311,0191.31M2.874170%2.874170%2.9%463232.692552%2.692552%2.7%466242.623535%2.623535%2.6%618252.505626%2.505626%2.5%334262.500485%2.500485%2.5%1,032272.405615%2.405615%2.4%994282.403319%2.403319%2.4%307292.174045%2.174045%2.2%357302.134725%2.134725%2.1%315312.127143%2.127143%2.1%263322.103612%2.103612%2.1%389332.080444%2.080444%2.1%152.046460%2.046460%2.0%296342.003695%2.003695%2.0%488351.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.852319%1.852319%1.9%1,5411.769443%1.769443%1.8%334381.727928%1.727928%1.7%283391.703527%1.703527%1.7%228401.673021%1.673021%1.7%825411.653038%1.653038%1.7%376421.638270%1.638270%1.6%275431.631448%1.631448%1.6%1051.558854%1.558854%1.6%314441.543584%1.543584%1.5%511.509134%1.509134%1.5%209451.483392%1.483392%1.5%461.283279%1.283279%1.3%201461.274554%1.274554%1.3%170471.272850%1.272850%1.3%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%17550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Cokato Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Cokato Township
Female
Male
1x0x1x2xFM#Golden ValleyCokatoFarmingtonStillwaterTract 101300RamseyLino LakesZIP 55321Eden PrairieMaplewoodElk RiverSt. Louis PkDassel-CokatoWrightShoreviewShakopeeHastingsFridleyCoon RapidsForest LakeBrooklyn CtrRichfieldWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalS St. PaulMinneapolisCottage GroveLakevilleRosemountBloomingtonColumbia HtsSt. PaulBurnsvilleEaganWest St. PaulMinneapolisInver Grv HtsApple ValleyMaple GroveChaskaWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew HopeHopkinsNew Brighton-1.000000x-1.000000x2.896921x2.896921x2.90x1.803%1.80%5.224%5.22%1-1.000000x-1.000000x2.320983x2.320983x2.32x3.835%3.83%8.901%8.90%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%2-1.000000x-1.000000x1.880234x1.880234x1.88x1.988%1.99%3.739%3.74%3-1.000000x-1.000000x1.616955x1.616955x1.62x4.668%4.67%7.547%7.55%-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%4-1.000000x-1.000000x1.537358x1.537358x1.54x2.534%2.53%3.896%3.90%5-1.000000x-1.000000x1.528303x1.528303x1.53x5.247%5.25%8.019%8.02%-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%6-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%7-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%8-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%9-1.000000x-1.000000x1.377219x1.377219x1.38x5.335%5.33%7.347%7.35%-1.000000x-1.000000x1.323303x1.323303x1.32x4.969%4.97%6.576%6.58%-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%10-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.181826x1.181826x1.18x3.887%3.89%4.594%4.59%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-1.000000x1.137506x1.137506x1.14x8.598%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%18-1.000000x-1.000000x1.122496x1.122496x1.12x2.180%2.18%2.448%2.45%19-1.000000x-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%20-1.000000x-1.000000x1.079970x1.079970x1.08x5.025%5.03%5.427%5.43%21-1.000000x-1.000000x1.079583x1.079583x1.08x3.877%3.88%4.185%4.19%22-1.000000x-1.000000x1.078552x1.078552x1.08x7.176%7.18%7.740%7.74%23-1.000000x-1.000000x1.075155x1.075155x1.08x9.653%9.65%10.378%10.4%24-1.000000x-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-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%27-1.052680x-1.052680x1.05x1.000000x1.000000x7.724%7.72%7.337%7.34%28-1.054236x-1.054236x1.05x1.000000x1.000000x14.252%14.3%13.519%13.5%29-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%30-1.063523x-1.063523x1.06x1.000000x1.000000x6.407%6.41%6.024%6.02%31-1.064491x-1.064491x1.06x1.000000x1.000000x3.778%3.78%3.549%3.55%32-1.087869x-1.087869x1.09x1.000000x1.000000x10.851%10.9%9.974%9.97%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%35-1.118002x-1.118002x1.12x1.000000x1.000000x5.261%5.26%4.705%4.71%36-1.121003x-1.121003x1.12x1.000000x1.000000x2.209%2.21%1.971%1.97%37-1.127409x-1.127409x1.13x1.000000x1.000000x5.637%5.64%5.000%5.00%38-1.150185x-1.150185x1.15x1.000000x1.000000x3.224%3.22%2.803%2.80%39-1.159893x-1.159893x1.16x1.000000x1.000000x7.291%7.29%6.286%6.29%40-1.170896x-1.170896x1.17x1.000000x1.000000x5.763%5.76%4.922%4.92%41-1.209052x-1.209052x1.21x1.000000x1.000000x11.076%11.1%9.161%9.16%42-1.212019x-1.212019x1.21x1.000000x1.000000x2.263%2.26%1.867%1.87%43-1.236671x-1.236671x1.24x1.000000x1.000000x2.877%2.88%2.327%2.33%44-1.242432x-1.242432x1.24x1.000000x1.000000x2.550%2.55%2.053%2.05%45-1.253553x-1.253553x1.25x1.000000x1.000000x4.017%4.02%3.204%3.20%46-1.284305x-1.284305x1.28x1.000000x1.000000x4.851%4.85%3.777%3.78%47-1.373920x-1.373920x1.37x1.000000x1.000000x11.110%11.1%8.086%8.09%48-1.599387x-1.599387x1.60x1.000000x1.000000x9.458%9.46%5.914%5.91%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#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Cokato Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Cokato Township
Female
Male
2x0x2x4xFM#CokatoNew HopeDassel-CokatoHopkinsWhite Bear LkZIP 55321RosemountForest LakeAndoverTract 101300ShoreviewWest St. PaulMaple GroveOakdaleShakopeeStillwaterEdinaFridleyEden PrairieHastingsRamseyMaplewoodMinnetonkaNew BrightonLino LakesWoodburyMidwestPlymouthWest North CentralWrightRosevilleGolden ValleyRichfieldChaskaCrystalUnited StatesCoon RapidsCottage GroveMinnesotaSt. Louis PkMinneapolisInver Grv HtsEaganBrooklyn CtrColumbia HtsSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisS St. PaulChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk River-1.000000x-1.000000x5.768325x5.768325x5.77x0.590%0.59%3.403%3.40%-1.000000x-1.000000x3.921842x3.921842x3.92x0.857%0.86%3.360%3.36%1-1.000000x-1.000000x3.578537x3.578537x3.58x0.713%0.71%2.553%2.55%-1.000000x-1.000000x2.952921x2.952921x2.95x1.105%1.11%3.264%3.26%2-1.000000x-1.000000x2.892036x2.892036x2.89x1.445%1.45%4.179%4.18%3-1.000000x-1.000000x2.662125x2.662125x2.66x0.844%0.84%2.248%2.25%-1.000000x-1.000000x2.517561x2.517561x2.52x1.236%1.24%3.112%3.11%4-1.000000x-1.000000x2.484698x2.484698x2.48x1.388%1.39%3.449%3.45%5-1.000000x-1.000000x2.444960x2.444960x2.44x0.905%0.90%2.212%2.21%6-1.000000x-1.000000x2.325867x2.325867x2.33x0.895%0.90%2.082%2.08%-1.000000x-1.000000x2.158302x2.158302x2.16x4.894%4.89%10.562%10.6%7-1.000000x-1.000000x2.129051x2.129051x2.13x1.642%1.64%3.497%3.50%8-1.000000x-1.000000x2.044267x2.044267x2.04x2.469%2.47%5.048%5.05%9-1.000000x-1.000000x2.027520x2.027520x2.03x1.214%1.21%2.461%2.46%10-1.000000x-1.000000x1.989459x1.989459x1.99x1.358%1.36%2.702%2.70%11-1.000000x-1.000000x1.960266x1.960266x1.96x3.518%3.52%6.896%6.90%12-1.000000x-1.000000x1.952817x1.952817x1.95x7.877%7.88%15.382%15.4%13-1.000000x-1.000000x1.877228x1.877228x1.88x1.459%1.46%2.739%2.74%14-1.000000x-1.000000x1.843636x1.843636x1.84x4.554%4.55%8.396%8.40%15-1.000000x-1.000000x1.824245x1.824245x1.82x0.798%0.80%1.456%1.46%16-1.000000x-1.000000x1.818953x1.818953x1.82x1.219%1.22%2.218%2.22%17-1.000000x-1.000000x1.816195x1.816195x1.82x2.593%2.59%4.709%4.71%18-1.000000x-1.000000x1.778120x1.778120x1.78x5.399%5.40%9.600%9.60%19-1.000000x-1.000000x1.712068x1.712068x1.71x3.517%3.52%6.021%6.02%20-1.000000x-1.000000x1.674609x1.674609x1.67x2.186%2.19%3.660%3.66%21-1.000000x-1.000000x1.596470x1.596470x1.60x5.629%5.63%8.987%8.99%22-1.000000x-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%23-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570700x1.570700x1.57x1.443%1.44%2.266%2.27%-1.000000x-1.000000x1.559618x1.559618x1.56x5.912%5.91%9.220%9.22%24-1.000000x-1.000000x1.552905x1.552905x1.55x7.775%7.78%12.074%12.1%25-1.000000x-1.000000x1.551084x1.551084x1.55x1.481%1.48%2.298%2.30%26-1.000000x-1.000000x1.548982x1.548982x1.55x2.267%2.27%3.511%3.51%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-1.000000x1.442441x1.442441x1.44x4.342%4.34%6.262%6.26%31-1.000000x-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.410631x1.410631x1.41x2.190%2.19%3.089%3.09%32-1.000000x-1.000000x1.383309x1.383309x1.38x3.713%3.71%5.137%5.14%33-1.000000x-1.000000x1.367180x1.367180x1.37x0.959%0.96%1.311%1.31%34-1.000000x-1.000000x1.286021x1.286021x1.29x1.118%1.12%1.438%1.44%35-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%36-1.000000x-1.000000x1.248780x1.248780x1.25x1.936%1.94%2.418%2.42%37-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%38-1.000000x-1.000000x1.240291x1.240291x1.24x1.659%1.66%2.058%2.06%39-1.000000x-1.000000x1.220015x1.220015x1.22x1.515%1.52%1.848%1.85%40-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%41-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%42-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%43-1.000000x-1.000000x1.113724x1.113724x1.11x1.618%1.62%1.802%1.80%44-1.000000x-1.000000x1.068161x1.068161x1.07x3.397%3.40%3.629%3.63%45-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%46-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%47-1.000000x-1.000000x1.018945x1.018945x1.02x3.110%3.11%3.169%3.17%48-1.019385x-1.019385x1.02x1.000000x1.000000x3.889%3.89%3.815%3.81%49-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares the Cokato Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Cokato Township. The least populous of the compared county subdivisions has a population of 22,226.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Cokato Township, selected other county subdivisions in Minnesota, and entities that contain the Cokato Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited StatesRichfieldMinneapolisMidwestBrooklyn ParkFridleyWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisZIP Code 55321ZIP 55321Cokato TownshipCokatoDuluthDassel-Cokato Public School DistrictDassel-CokatoRochesterBurnsvilleHastings101300Tract 101300MankatoWright CountyWrightNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountLakevilleEden PrairieShoreviewChamplinWoodburyPlymouthMinnetonkaChanhassenMaple GroveEdina16.891386%16.891386%16.9%2,706116.529027%16.529027%16.5%2,682216.036673%16.036673%16.0%3,131313.278342%13.278342%13.3%24,61324.6k413.020590%13.020590%13.0%27,818,38027.8M11.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.174633%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%1,681186.766618%6.766618%6.8%158,334158k6.628329%6.628329%6.6%2196.518724%6.518724%6.5%476.456536%6.456536%6.5%3,427196.339341%6.339341%6.3%4086.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952226.094808%6.094808%6.1%1895.855251%5.855251%5.9%1,220235.768514%5.768514%5.8%4,7995.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.487209%3.487209%3.5%1,325413.205970%3.205970%3.2%1,392423.194655%3.194655%3.2%612433.108874%3.108874%3.1%488443.024874%3.024874%3.0%1,317452.612169%2.612169%2.6%1,406462.317073%2.317073%2.3%893472.309237%2.309237%2.3%368482.095945%2.095945%2.1%966492.079742%2.079742%2.1%74850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Cokato Township, selected other county subdivisions in Minnesota, and entities that contain the Cokato Township
0%20%40%60%Count#EdinaEden PrairieChanhassenMinnetonkaWoodburyPlymouthSt. Louis ParkSt. Louis PkShoreviewMaple GroveEaganLakevilleMinneapolisNew BrightonRosevillePrior LakeChaskaRosemountRochesterApple ValleySavageBloomingtonMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisSt. PaulBurnsvilleChamplinMoorheadRichfieldShakopeeMankatoFarmingtonDuluthInver Grove HeightsInver Grv HtsWinonaMinnesotaAndoverWhite Bear LakeWhite Bear LkBlaineOakdaleElk RiverCottage GroveCrystalUnited States of AmericaUnited StatesWest North CentralMaplewoodBrooklyn ParkSt. CloudMidwestRamseyHastingsOwatonnaFridleyWright CountyWrightCoon RapidsCokato TownshipCokatoAustinDassel-Cokato Public School DistrictDassel-CokatoBrooklyn CenterBrooklyn CtrZIP Code 55321ZIP 55321Faribault101300Tract 10130068.687093%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%25,58225.6k2139.983752%39.983752%40.0%935,591936k39.969357%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%5,0284626.760665%26.760665%26.8%22,26322.3k25.993543%25.993543%26.0%11,19111.2k4723.439667%23.439667%23.4%16921.410083%21.410083%21.4%3,4744821.208825%21.208825%21.2%1,36520.631018%20.631018%20.6%4,0284918.825666%18.825666%18.8%62218.795256%18.795256%18.8%3,0115018.219929%18.219929%18.2%565
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Cokato Township, selected other county subdivisions in Minnesota, and entities that contain the Cokato Township
0%5%10%Count#EdinaRochesterShoreviewRosevilleMinnetonkaWoodburyEden PrairieMinneapolisSt. PaulPlymouthSt. Louis ParkSt. Louis PkNew BrightonEaganDuluthWinonaMankatoMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisChanhassenMaple GroveMaplewoodLakevilleChamplinMinnesotaSt. CloudUnited States of AmericaUnited StatesBloomingtonWest North CentralApple ValleyMidwestAustinChaskaWhite Bear LakeWhite Bear LkInver Grove HeightsInver Grv HtsMoorheadBlaineBurnsvillePrior LakeRosemountFridleyCokato TownshipCokatoShakopeeRichfieldSavageWright CountyWrightOakdaleRamseyBrooklyn ParkCottage GroveCrystalDassel-Cokato Public School DistrictDassel-CokatoOwatonnaAndoverZIP Code 55321ZIP 55321FaribaultFarmington101300Tract 101300Elk RiverCoon RapidsBrooklyn CenterBrooklyn CtrHastings11.352388%11.352388%11.4%4,08318.768248%8.768248%8.8%6,55927.532495%7.532495%7.5%1,44337.458205%7.458205%7.5%1,83847.368967%7.368967%7.4%2,84057.214222%7.214222%7.2%3,14166.425758%6.425758%6.4%2,79076.241155%6.241155%6.2%16,71416.7k85.920847%5.920847%5.9%10,97511.0k95.718532%5.718532%5.7%3,078105.249723%5.249723%5.2%1,851114.722204%4.722204%4.7%725124.400428%4.400428%4.4%1,975134.278609%4.278609%4.3%2,271144.236175%4.236175%4.2%645154.218660%4.218660%4.2%879163.980678%3.980678%4.0%93,14593.1k3.852912%3.852912%3.9%614173.692855%3.692855%3.7%1,702183.590939%3.590939%3.6%986193.521423%3.521423%3.5%1,338203.510225%3.510225%3.5%551213.458748%3.458748%3.5%126,664127k3.367347%3.367347%3.4%1,023223.336158%3.336158%3.3%7,127,6737.13M3.138055%3.138055%3.1%1,968232.978981%2.978981%3.0%414,980415k2.958337%2.958337%3.0%1,009242.893416%2.893416%2.9%1,311,0191.31M2.884260%2.884260%2.9%468252.874170%2.874170%2.9%463262.692552%2.692552%2.7%466272.623535%2.623535%2.6%618282.564537%2.564537%2.6%605292.500485%2.500485%2.5%1,032302.405615%2.405615%2.4%994312.174045%2.174045%2.2%357322.134725%2.134725%2.1%315332.103612%2.103612%2.1%389342.080444%2.080444%2.1%152.003695%2.003695%2.0%488351.876306%1.876306%1.9%476361.859032%1.859032%1.9%350371.852319%1.852319%1.9%1,5411.769443%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%275421.631448%1.631448%1.6%1051.605771%1.605771%1.6%276431.558854%1.558854%1.6%314441.543584%1.543584%1.5%511.510612%1.510612%1.5%242451.509134%1.509134%1.5%209461.483392%1.483392%1.5%461.283279%1.283279%1.3%201471.272850%1.272850%1.3%548481.126818%1.126818%1.1%220491.123163%1.123163%1.1%17550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Cokato Township, selected other county subdivisions in Minnesota, and entities that contain the Cokato Township
Female
Male
1x0x1x2xFM#CokatoFarmingtonTract 101300RamseyZIP 55321Eden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkDassel-CokatoWrightShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinBlaineAndoverCrystalMinneapolisCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew Brighton-1.000000x-1.000000x2.320983x2.320983x2.32x3.835%3.83%8.901%8.90%-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.616955x1.616955x1.62x4.668%4.67%7.547%7.55%-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.528303x1.528303x1.53x5.247%5.25%8.019%8.02%-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-1.000000x1.377219x1.377219x1.38x5.335%5.33%7.347%7.35%-1.000000x-1.000000x1.323303x1.323303x1.32x4.969%4.97%6.576%6.58%-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.171442x1.171442x1.17x14.825%14.8%17.367%17.4%16-1.000000x-1.000000x1.163628x1.163628x1.16x10.209%10.2%11.880%11.9%17-1.000000x-1.000000x1.151611x1.151611x1.15x15.625%15.6%17.994%18.0%18-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126917x1.126917x1.13x3.416%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-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-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#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Cokato Township, selected other county subdivisions in Minnesota, and entities that contain the Cokato Township
Female
Male
2x0x2x4xFM#CokatoDassel-CokatoWinonaWhite Bear LkZIP 55321RosemountAndoverTract 101300ShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralWrightRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaDuluthSt. Louis PkMinneapolisFaribaultInver Grv HtsEaganBrooklyn CtrSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisChamplinApple ValleyBurnsvilleBloomingtonChanhassenElk River-1.000000x-1.000000x5.768325x5.768325x5.77x0.590%0.59%3.403%3.40%-1.000000x-1.000000x3.578537x3.578537x3.58x0.713%0.71%2.553%2.55%-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-1.000000x2.662125x2.662125x2.66x0.844%0.84%2.248%2.25%-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-1.000000x2.325867x2.325867x2.33x0.895%0.90%2.082%2.08%-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-1.000000x1.570700x1.570700x1.57x1.443%1.44%2.266%2.27%-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-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.419491x1.419491x1.42x1.234%1.23%1.752%1.75%33-1.000000x-1.000000x1.410631x1.410631x1.41x2.190%2.19%3.089%3.09%34-1.000000x-1.000000x1.383309x1.383309x1.38x3.713%3.71%5.137%5.14%35-1.000000x-1.000000x1.367180x1.367180x1.37x0.959%0.96%1.311%1.31%36-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%37-1.000000x-1.000000x1.248780x1.248780x1.25x1.936%1.94%2.418%2.42%38-1.000000x-1.000000x1.247281x1.247281x1.25x1.347%1.35%1.681%1.68%39-1.000000x-1.000000x1.240291x1.240291x1.24x1.659%1.66%2.058%2.06%40-1.000000x-1.000000x1.220015x1.220015x1.22x1.515%1.52%1.848%1.85%41-1.000000x-1.000000x1.179960x1.179960x1.18x3.234%3.23%3.816%3.82%42-1.000000x-1.000000x1.160580x1.160580x1.16x2.321%2.32%2.693%2.69%43-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%44-1.000000x-1.000000x1.068161x1.068161x1.07x3.397%3.40%3.629%3.63%45-1.000000x-1.000000x1.031011x1.031011x1.03x2.916%2.92%3.006%3.01%46-1.000000x-1.000000x1.023622x1.023622x1.02x2.379%2.38%2.435%2.44%47-1.000000x-1.000000x1.018945x1.018945x1.02x3.110%3.11%3.169%3.17%48-1.019385x-1.019385x1.02x1.000000x1.000000x3.889%3.89%3.815%3.81%49-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Cokato Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Cokato Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Cokato Township, selected other county subdivisions in the Midwest, and entities that contain the Cokato 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 TownshipWashingtonMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisZIP Code 55321ZIP 55321Cokato TownshipCokatoOlatheDassel-Cokato Public School DistrictDassel-Cokato101300Tract 101300FargoCedar RapidsWright CountyWrightYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%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%6,403406.766618%6.766618%6.8%158,334158k6.628329%6.628329%6.6%2196.518724%6.518724%6.5%476.424130%6.424130%6.4%5,331416.339341%6.339341%6.3%4086.094808%6.094808%6.1%1896.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.768514%5.768514%5.8%4,7995.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Cokato Township, selected other county subdivisions in the Midwest, and entities that contain the Cokato Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaMinnesotaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldWright CountyWrightProviso TownshipProvisoWorth TownshipWorthMilwaukeeCokato TownshipCokatoRockford TownshipRockfordDassel-Cokato Public School DistrictDassel-CokatoAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonZIP Code 55321ZIP 55321101300Tract 101300ToledoDaytonWarrenWayne 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%50,61950.6k1439.983752%39.983752%40.0%935,591936k39.969357%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%27,92127.9k3326.760665%26.760665%26.8%22,26322.3k26.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3623.439667%23.439667%23.4%16921.592552%21.592552%21.6%25,23525.2k3721.208825%21.208825%21.2%1,36520.213821%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%21,01221.0k4118.825666%18.825666%18.8%62218.219929%18.219929%18.2%56518.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Cokato Township, selected other county subdivisions in the Midwest, and entities that contain the Cokato Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisPalatine TownshipPalatineMinnesotaWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleCokato TownshipCokatoRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandWright CountyWrightToledoDassel-Cokato Public School DistrictDassel-CokatoNorth TownshipNZIP Code 55321ZIP 55321101300Tract 101300Sterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%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%3,970193.980678%3.980678%4.0%93,14593.1k3.487439%3.487439%3.5%2,782203.458748%3.458748%3.5%126,664127k3.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.080444%2.080444%2.1%152.067272%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%4,911391.852319%1.852319%1.9%1,5411.642065%1.642065%1.6%3,018401.631448%1.631448%1.6%1051.575684%1.575684%1.6%1,606411.543584%1.543584%1.5%511.483392%1.483392%1.5%461.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Cokato Township, selected other county subdivisions in the Midwest, and entities that contain the Cokato Township
Female
Male
1x0x1x2xFM#CokatoTract 101300ZIP 55321Dassel-CokatoWrightCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoMinneapolisWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.320983x2.320983x2.32x3.835%3.83%8.901%8.90%-1.000000x-1.000000x1.616955x1.616955x1.62x4.668%4.67%7.547%7.55%-1.000000x-1.000000x1.528303x1.528303x1.53x5.247%5.25%8.019%8.02%-1.000000x-1.000000x1.377219x1.377219x1.38x5.335%5.33%7.347%7.35%-1.000000x-1.000000x1.323303x1.323303x1.32x4.969%4.97%6.576%6.58%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.136388x1.136388x1.14x6.913%6.91%7.856%7.86%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%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-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-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#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Cokato Township, selected other county subdivisions in the Midwest, and entities that contain the Cokato Township
Female
Male
0x2x4xFM#CokatoDassel-CokatoZIP 55321Tract 101300RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralWrightKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsPalatineMinneapolisSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x5.768325x5.768325x5.77x0.590%0.59%3.403%3.40%-1.000000x-1.000000x3.578537x3.578537x3.58x0.713%0.71%2.553%2.55%-1.000000x-1.000000x2.662125x2.662125x2.66x0.844%0.84%2.248%2.25%-1.000000x-1.000000x2.325867x2.325867x2.33x0.895%0.90%2.082%2.08%-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-1.000000x1.570700x1.570700x1.57x1.443%1.44%2.266%2.27%-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-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Cokato Township, selected other county subdivisions in the United States, and entities that contain the Cokato 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 TarrantMinnesotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisZIP Code 55321ZIP 55321Cokato TownshipCokatoDassel-Cokato Public School DistrictDassel-Cokato101300Tract 101300Wright CountyWrightPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%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%270,121270k6.766618%6.766618%6.8%158,334158k6.628329%6.628329%6.6%2196.518724%6.518724%6.5%476.339341%6.339341%6.3%4086.094808%6.094808%6.1%1895.768514%5.768514%5.8%4,7995.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).