Educational Attainment in the Montgomery Township, Le Sueur County, Minnesota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Le Sueur County and the Montgomery Township
Montgomery Township
Le Sueur County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma226.550388%33.177892%26.550388%26.6%13769.961240%57.585714%69.961240%70.0%3613.488372%9.236394%3.488372%3.5%18
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 Le Sueur County at large.
Scope: population of Le Sueur County and the Montgomery Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-19.975665%-19.975665%-20.0%26.550%26.6%33.178%33.2%21.490620%21.490620%+21.5%69.961%70.0%57.586%57.6%-62.232318%-62.232318%-62.2%3.488%3.49%9.236%9.24%
% percentage with given level in the Montgomery Township
ref. percentage with given level in Le Sueur 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 Le Sueur County and the Montgomery Township
Montgomery Township
Le Sueur County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.916751%01.162791%0.710084%1.162791%1.2%62.325581%4.525462%2.325581%2.3%1211.627907%15.213820%11.627907%11.6%6011.434109%11.811775%11.434109%11.4%5920.930233%21.615177%20.930233%20.9%10849.031008%35.970537%49.031008%49.0%2532.325581%6.464946%2.325581%2.3%120.775194%2.416406%0.775194%0.8%40.387597%0.355042%0.387597%0.4%2
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 Le Sueur County at large.
Scope: population of Le Sueur County and the Montgomery 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%0.917%0.92%63.753905%63.753905%+63.8%1.163%1.16%0.710%0.71%-48.611187%-48.611187%-48.6%2.326%2.33%4.525%4.53%-23.570104%-23.570104%-23.6%11.628%11.6%15.214%15.2%-3.197370%-3.197370%-3.2%11.434%11.4%11.812%11.8%-3.168811%-3.168811%-3.2%20.930%20.9%21.615%21.6%36.308802%36.308802%+36.3%49.031%49.0%35.971%36.0%-64.027831%-64.027831%-64.0%2.326%2.33%6.465%6.46%-67.919557%-67.919557%-67.9%0.775%0.78%2.416%2.42%9.169270%9.169270%+9.2%0.388%0.39%0.355%0.36%
% percentage with given level in the Montgomery Township
ref. percentage with given level in Le Sueur 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 Le Sueur County and the Montgomery Township
More Females More Males
Le Sueur County
Montgomery Township
100%50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-104.813599%-22.839824%-104.813599%105%36.910%36.9%18.021%18.0%36.211287%9.451949%36.211287%36%58.369%58.4%79.505%79.5%-90.864500%-90.864500%91%19.164091%4.721%4.72%2.473%2.47%
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 Le Sueur County and the Montgomery Township
More Females More Males
Le Sueur County
Montgomery Township
1,000%500%0%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-1,000.000000%-1,000.000000%> 1000%24.412858%2.575%2.58%0.000%0%-1,000.000000%-84.855804%-1,000.000000%> 1000%5.150%5.15%0.000%0%-109.793211%-14.155523%-109.793211%110%16.309%16.3%7.774%7.77%-25.647477%-21.326361%-25.647477%26%12.876%12.9%10.247%10.2%-9.384136%39.964664%39.964664%40%17.167%17.2%24.028%24.0%34.647379%22.039637%34.647379%35%41.202%41.2%55.477%55.5%-70.042918%-70.042918%70%35.794240%3.004%3.00%1.767%1.77%-21.459227%-21.823853%-21.459227%21%0.858%0.86%0.707%0.71%-1,000.000000%-1,000.000000%> 1000%44.994738%0.858%0.86%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Le Sueur County and the Montgomery Township
Montgomery Township
Le Sueur County
0%5%10%15%B.X.Total65+45-6435-4425-345.343511%10.975057%5.343511%5.3%713113.011152%15.287413%13.011152%13.0%3526912.962963%18.469815%12.962963%13.0%75417.741935%17.581334%17.741935%17.7%1162
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 Le Sueur County at large.
Scope: population of Le Sueur County and the Montgomery Township
50%40%30%20%10%0%%ref.65+45-6435-4425-34-51.312220%-51.312220%51.3%5.344%5.34%10.975%11.0%-14.889771%-14.889771%14.9%13.011%13.0%15.287%15.3%-29.815414%-29.815414%29.8%12.963%13.0%18.470%18.5%0.913476%0.913476%0.9%17.742%17.7%17.581%17.6%
% percentage in the Montgomery Township with a Bachelor's degree
ref percentage in Le Sueur 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 Le Sueur County and the Montgomery Township
More Females More Males
Le Sueur County
Montgomery Township
600%400%200%0%FM65+45-6435-4425-34178.225806%30.087333%178.225806%178.2%2.899%2.90%8.065%8.06%-620.524691%-29.553419%-620.524691%620.5%26.852%26.9%3.727%3.73%-14.034188%126.666667%126.666667%126.7%8.824%8.82%20.000%20.0%-3.896104%-30.794979%-3.896104%3.9%18.182%18.2%17.500%17.5%
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 Le Sueur County and the Montgomery Township
Montgomery Township
Le Sueur County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$58,750.000000$57,452.000000$58,750.000000$58.8k183.488%3.49%$68,750.000000$48,361.000000$68,750.000000$68.8k6011.628%11.6%$48,068.000000$37,459.000000$48,068.000000$48.1k16732.364%32.4%$28,750.000000$33,659.000000$28,750.000000$28.8k25349.031%49.0%$41,583.000000$38,615.000000$41,583.000000$41.6k516100.000%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 Le Sueur County and the Montgomery Township
Female Male
Le Sueur County
Montgomery Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMBachelor's DegreeSome CollegeH.S. Diploma2Total$-64,750.000000$-4,625.000000$-40,030.000000$-69,375.000000$69.4k$64,750.000000$40,030.000000$22,418.000000$64,750.000000$64.8k3822$-36,667.000000$-30,514.000000$-36,667.000000$36.7k$36,667.000000$24,427.000000$30,514.000000$15,707.000000$61,094.000000$61.1k7097$-20,625.000000$-24,608.000000$-20,625.000000$20.6k$20,625.000000$15,069.000000$24,608.000000$16,269.000000$35,694.000000$35.7k96157$-37,813.000000$-31,213.000000$-37,813.000000$37.8k$37,813.000000$10,937.000000$31,213.000000$13,122.000000$48,750.000000$48.8k233283
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 Le Sueur County and the Montgomery Township
Montgomery Township
Le Sueur County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.507042%91.020159%84.507042%84.5%6088.281250%87.826087%88.281250%88.3%11384.090909%79.138139%84.090909%84.1%14880.000000%64.913958%80.000000%80.0%8
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 Le Sueur County and the Montgomery Township
Female Male
Le Sueur County
Montgomery Township
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%6%8%MFWhite1-2.142857%-2.578173%-6.781000%-4.721030%4.7%2.142857%6.781000%1.736034%2.142857%2.1%611
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 Le Sueur County and the Montgomery Township
Female Male
Le Sueur County
Montgomery Township
Shaded bar tips show excess over facing bar.
20%10%0%10%MFWhite1-7.142857%-16.891478%-19.906480%-4.295258%-24.034335%24.0%7.142857%19.906480%7.142857%7.1%2056
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 Montgomery Township to the 50 most populous county subdivisions in the Minneapolis Area and to those entities that contain or substantially overlap with the Montgomery 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 Montgomery Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Montgomery Township
0%5%10%15%Count#Brooklyn CenterBrooklyn CtrColumbia HeightsColumbia HtsSt. PaulUnited States of AmericaUnited States950300Tract 950300RichfieldMinneapolisWest St. PaulTri-City United School DistrictTri-City UnitedMidwestBrooklyn ParkSouth St. PaulS St. PaulFridleyNew HopeLe Sueur CountyLe SueurWest North CentralMaplewoodHopkinsInver Grove HeightsInver Grv HtsShakopeeBloomingtonCrystalMinnesotaCoon RapidsRosevilleMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisBurnsvilleHastingsNew BrightonOakdaleChaskaBlaineApple ValleyCottage GroveElk RiverSavageForest LakeFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountMontgomery TownshipMontgomeryLakevilleGolden 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%27,818,38027.8M11.965812%11.965812%12.0%36411.017383%11.017383%11.0%2,795410.958428%10.958428%11.0%29,34729.3k510.442611%10.442611%10.4%1,392610.370010%10.370010%10.4%85210.244520%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%1,399109.236394%9.236394%9.2%1,7439.174633%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%158,334158k6.224589%6.224589%6.2%2,572196.110006%6.110006%6.1%952205.686185%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%526373.488372%3.488372%3.5%183.487209%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 Montgomery Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Montgomery 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 LakeCoon RapidsSouth St. PaulS St. PaulColumbia HeightsColumbia HtsLe Sueur CountyLe SueurBrooklyn CenterBrooklyn CtrTri-City United School DistrictTri-City UnitedMontgomery TownshipMontgomery950300Tract 95030068.687093%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%3,4504625.993543%25.993543%26.0%11,19111.2k4724.043634%24.043634%24.0%3,2184821.704903%21.704903%21.7%2,8954921.366117%21.366117%21.4%4,03220.631018%20.631018%20.6%4,0285015.116845%15.116845%15.1%1,24215.116279%15.116279%15.1%7812.557528%12.557528%12.6%382
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 Montgomery Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Montgomery 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 LakeRosemountHopkinsFridleyNew HopeShakopeeRichfieldSavageOakdaleRamseySouth St. PaulS St. PaulBrooklyn ParkCottage GroveCrystalLe Sueur CountyLe SueurAndoverFarmingtonElk RiverColumbia HeightsColumbia HtsCoon RapidsMontgomery TownshipMontgomeryBrooklyn CenterBrooklyn CtrHastingsTri-City United School DistrictTri-City United950300Tract 95030011.352388%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%389332.046460%2.046460%2.0%296342.003695%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%283391.703527%1.703527%1.7%228401.673021%1.673021%1.7%825411.653038%1.653038%1.7%376421.638270%1.638270%1.6%275431.626835%1.626835%1.6%3071.558854%1.558854%1.6%314441.509134%1.509134%1.5%209451.283279%1.283279%1.3%201461.274554%1.274554%1.3%170471.272850%1.272850%1.3%548481.162791%1.162791%1.2%61.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.632911%0.632911%0.6%520.197239%0.197239%0.2%6
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 Montgomery Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Montgomery Township
Female
Male
1x0x1x2xFM#Golden ValleyFarmingtonStillwaterRamseyLino LakesEden PrairieMaplewoodElk RiverSt. Louis PkShoreviewShakopeeHastingsFridleyCoon RapidsLe SueurForest LakeBrooklyn CtrRichfieldWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinTract 950300BlaineAndoverCrystalS St. PaulMinneapolisTri-City UnitedCottage GroveLakevilleRosemountBloomingtonColumbia HtsSt. PaulBurnsvilleEaganWest St. PaulMinneapolisInver Grv HtsApple ValleyMaple GroveChaskaWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew HopeHopkinsNew BrightonMontgomery-1.000000x-1.000000x2.896921x2.896921x2.90x1.803%1.80%5.224%5.22%1-1.000000x-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-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%4-1.000000x-1.000000x1.537358x1.537358x1.54x2.534%2.53%3.896%3.90%5-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%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-1.000000x1.317049x1.317049x1.32x2.784%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-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%-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-1.000000x1.088528x1.088528x1.09x11.420%11.4%12.431%12.4%-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-1.000000x1.048679x1.048679x1.05x10.114%10.1%10.606%10.6%-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%50-1.908645x-1.908645x1.91x1.000000x1.000000x4.721%4.72%2.473%2.47%
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 Montgomery Township, selected other county subdivisions in the Minneapolis Area, and entities that contain the Montgomery Township
Female
Male
10x5x0xFM#New HopeHopkinsWhite Bear LkRosemountForest LakeAndoverShoreviewWest St. PaulMaple GroveOakdaleShakopeeStillwaterEdinaFridleyEden PrairieHastingsRamseyMaplewoodMinnetonkaNew BrightonLino LakesWoodburyMidwestPlymouthWest North CentralRosevilleGolden ValleyRichfieldChaskaCrystalUnited StatesCoon RapidsCottage GroveMinnesotaSt. Louis PkMinneapolisInver Grv HtsEaganBrooklyn CtrColumbia HtsSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisLe SueurS St. PaulChamplinApple ValleyBurnsvilleBloomingtonChanhassenTri-City UnitedElk RiverTract 950300Montgomery-1.000000x-1.000000x3.921842x3.921842x3.92x0.857%0.86%3.360%3.36%1-1.000000x-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-1.000000x2.517561x2.517561x2.52x1.236%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-1.000000x2.158302x2.158302x2.16x4.894%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-1.000000x1.559618x1.559618x1.56x5.912%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-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%-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%49-1.732218x-1.732218x1.73x1.000000x1.000000x0.811%0.81%0.468%0.47%-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.428%0.43%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.575%2.58%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Minnesota

There are 2,761 county subdivisions in Minnesota. This section compares the Montgomery Township to the 50 most populous county subdivisions in Minnesota and to those entities that contain or substantially overlap with the Montgomery 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 Montgomery Township, selected other county subdivisions in Minnesota, and entities that contain the Montgomery Township
0%5%10%15%Count#FaribaultAustinBrooklyn CenterBrooklyn CtrSt. PaulUnited States of AmericaUnited States950300Tract 950300RichfieldMinneapolisTri-City United School DistrictTri-City UnitedMidwestBrooklyn ParkFridleyLe Sueur CountyLe SueurWest North CentralWinonaMaplewoodInver Grove HeightsInver Grv HtsShakopeeBloomingtonSt. CloudCrystalMinnesotaOwatonnaCoon RapidsRosevilleMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisDuluthRochesterBurnsvilleHastingsMankatoNew BrightonOakdaleChaskaMoorheadBlaineApple ValleyCottage GroveElk RiverSavageFarmingtonSt. Louis ParkSt. Louis PkAndoverRamseyEaganWhite Bear LakeWhite Bear LkPrior LakeRosemountMontgomery TownshipMontgomeryLakevilleEden 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%27,818,38027.8M11.965812%11.965812%12.0%36411.017383%11.017383%11.0%2,795510.958428%10.958428%11.0%29,34729.3k610.370010%10.370010%10.4%85210.244520%10.244520%10.2%4,641,8354.64M10.167910%10.167910%10.2%5,01479.793424%9.793424%9.8%1,81189.236394%9.236394%9.2%1,7439.174633%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%158,334158k6.456536%6.456536%6.5%3,427196.300465%6.300465%6.3%4,713206.224589%6.224589%6.2%2,572216.110006%6.110006%6.1%952225.855251%5.855251%5.9%1,220235.686185%5.686185%5.7%873245.387794%5.387794%5.4%1,017255.326215%5.326215%5.3%858265.311348%5.311348%5.3%1,253275.219035%5.219035%5.2%2,154284.998974%4.998974%5.0%1,705294.937132%4.937132%4.9%1,123304.603205%4.603205%4.6%721314.312955%4.312955%4.3%812324.216911%4.216911%4.2%584334.052866%4.052866%4.1%1,429344.031177%4.031177%4.0%812353.724508%3.724508%3.7%610363.667395%3.667395%3.7%1,646373.645924%3.645924%3.6%631383.629499%3.629499%3.6%596393.564652%3.564652%3.6%526403.488372%3.488372%3.5%183.487209%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 Montgomery Township, selected other county subdivisions in Minnesota, and entities that contain the Montgomery 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. CloudMidwestRamseyHastingsOwatonnaFridleyCoon RapidsAustinLe Sueur CountyLe SueurBrooklyn CenterBrooklyn CtrFaribaultTri-City United School DistrictTri-City UnitedMontgomery TownshipMontgomery950300Tract 95030068.687093%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%5,0284625.993543%25.993543%26.0%11,19111.2k4721.410083%21.410083%21.4%3,4744821.366117%21.366117%21.4%4,03220.631018%20.631018%20.6%4,0284918.795256%18.795256%18.8%3,0115015.116845%15.116845%15.1%1,24215.116279%15.116279%15.1%7812.557528%12.557528%12.6%382
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 Montgomery Township, selected other county subdivisions in Minnesota, and entities that contain the Montgomery 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 LakeRosemountFridleyShakopeeRichfieldSavageOakdaleRamseyBrooklyn ParkCottage GroveCrystalLe Sueur CountyLe SueurOwatonnaAndoverFaribaultFarmingtonElk RiverCoon RapidsMontgomery TownshipMontgomeryBrooklyn CenterBrooklyn CtrHastingsTri-City United School DistrictTri-City United950300Tract 95030011.352388%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%389342.003695%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%275421.626835%1.626835%1.6%3071.605771%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%548481.162791%1.162791%1.2%61.126818%1.126818%1.1%220491.123163%1.123163%1.1%175500.632911%0.632911%0.6%520.197239%0.197239%0.2%6
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 Montgomery Township, selected other county subdivisions in Minnesota, and entities that contain the Montgomery Township
Female
Male
1x0x1x2xFM#FarmingtonRamseyEden PrairieMoorheadOwatonnaMaplewoodElk RiverSt. Louis PkShoreviewShakopeeAustinHastingsFridleyCoon RapidsDuluthLe SueurBrooklyn CtrRichfieldFaribaultWest North CentralMinnesotaMidwestPrior LakeChanhassenUnited StatesChamplinTract 950300BlaineAndoverCrystalMinneapolisTri-City UnitedCottage GroveLakevilleRosemountWinonaRochesterBloomingtonSt. PaulBurnsvilleEaganMinneapolisInver Grv HtsMankatoApple ValleyMaple GroveChaskaSt. CloudWoodburyRosevilleOakdaleBrooklyn ParkEdinaPlymouthMinnetonkaWhite Bear LkSavageNew BrightonMontgomery-1.000000x-1.000000x2.003868x2.003868x2.00x2.835%2.84%5.681%5.68%1-1.000000x-1.000000x1.569928x1.569928x1.57x2.887%2.89%4.532%4.53%2-1.000000x-1.000000x1.513482x1.513482x1.51x2.564%2.56%3.881%3.88%3-1.000000x-1.000000x1.505859x1.505859x1.51x4.258%4.26%6.411%6.41%4-1.000000x-1.000000x1.416944x1.416944x1.42x5.995%6.00%8.495%8.49%5-1.000000x-1.000000x1.413357x1.413357x1.41x6.619%6.62%9.355%9.36%6-1.000000x-1.000000x1.411657x1.411657x1.41x3.821%3.82%5.394%5.39%7-1.000000x-1.000000x1.398134x1.398134x1.40x3.411%3.41%4.769%4.77%8-1.000000x-1.000000x1.317049x1.317049x1.32x2.784%2.78%3.666%3.67%9-1.000000x-1.000000x1.299444x1.299444x1.30x6.595%6.59%8.569%8.57%10-1.000000x-1.000000x1.289646x1.289646x1.29x14.496%14.5%18.694%18.7%11-1.000000x-1.000000x1.288751x1.288751x1.29x5.348%5.35%6.892%6.89%12-1.000000x-1.000000x1.269201x1.269201x1.27x8.625%8.62%10.946%10.9%13-1.000000x-1.000000x1.245609x1.245609x1.25x6.293%6.29%7.839%7.84%14-1.000000x-1.000000x1.237646x1.237646x1.24x5.794%5.79%7.171%7.17%15-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%-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-1.000000x1.088528x1.088528x1.09x11.420%11.4%12.431%12.4%-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-1.000000x1.048679x1.048679x1.05x10.114%10.1%10.606%10.6%-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%50-1.908645x-1.908645x1.91x1.000000x1.000000x4.721%4.72%2.473%2.47%
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 Montgomery Township, selected other county subdivisions in Minnesota, and entities that contain the Montgomery Township
Female
Male
10x5x0xFM#WinonaWhite Bear LkRosemountAndoverShoreviewMaple GroveOakdaleShakopeeEdinaFridleyEden PrairieOwatonnaMankatoHastingsRamseyMaplewoodMinnetonkaNew BrightonRochesterMoorheadWoodburyMidwestPlymouthWest North CentralRosevilleRichfieldChaskaSt. CloudAustinCrystalUnited StatesCoon RapidsCottage GroveMinnesotaDuluthSt. Louis PkMinneapolisFaribaultInver Grv HtsEaganBrooklyn CtrSt. PaulPrior LakeFarmingtonSavageBrooklyn ParkLakevilleBlaineMinneapolisLe SueurChamplinApple ValleyBurnsvilleBloomingtonChanhassenTri-City UnitedElk RiverTract 950300Montgomery-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-1.000000x1.437316x1.437316x1.44x3.281%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-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%-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%49-1.732218x-1.732218x1.73x1.000000x1.000000x0.811%0.81%0.468%0.47%-2.497130x-2.497130x2.50x1.000000x1.000000x1.828%1.83%0.732%0.73%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.428%0.43%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.575%2.58%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Montgomery Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Montgomery 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 Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery 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 TownshipBloomingdale950300Tract 950300ColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthTri-City United School DistrictTri-City UnitedMidwestLawrence TownshipLawrenceSioux FallsLe Sueur CountyLe SueurWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMinnesotaLincolnWashington TownshipWashingtonMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleMontgomery TownshipMontgomeryOverland 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%9,3752611.965812%11.965812%12.0%36411.376979%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%11,17511.2k3210.370010%10.370010%10.4%85210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.236394%9.236394%9.2%1,7439.174633%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%158,334158k6.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.488372%3.488372%3.5%183.377424%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 Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery 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 TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordLe Sueur CountyLe SueurAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipTri-City United School DistrictTri-City UnitedMontgomery TownshipMontgomeryDetroit950300Tract 95030072.810169%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%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3721.366117%21.366117%21.4%4,03220.213821%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%16,95117.0k4915.116845%15.116845%15.1%1,24215.116279%15.116279%15.1%7813.833543%13.833543%13.8%59,72359.7k5012.557528%12.557528%12.6%382
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 Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery 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 TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoLe Sueur CountyLe SueurNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneMontgomery TownshipMontgomeryWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonTri-City United School DistrictTri-City United950300Tract 95030017.877867%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%1,628352.067272%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%3,018401.626835%1.626835%1.6%3071.575684%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%1,040461.162791%1.162791%1.2%61.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.632911%0.632911%0.6%520.197239%0.197239%0.2%6
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 Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery Township
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonLe SueurKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralMinnesotaWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkTract 950300AuroraWheelingGrand RapidsSchaumburgChicagoMinneapolisWichitaColumbusTri-City UnitedClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaineMontgomery-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-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%-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-1.000000x1.088528x1.088528x1.09x11.420%11.4%12.431%12.4%-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-1.000000x1.048679x1.048679x1.05x10.114%10.1%10.606%10.6%-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50-1.908645x-1.908645x1.91x1.000000x1.000000x4.721%4.72%2.473%2.47%
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 Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery Township
Female
Male
10x5x0xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaMinnesotaSterling HtsPalatineMinneapolisSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisLe SueurWorthDetroitProvisoThorntonTri-City UnitedTract 950300Montgomery-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-1.000000x1.437316x1.437316x1.44x3.281%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-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%-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%50-1.732218x-1.732218x1.73x1.000000x1.000000x0.811%0.81%0.468%0.47%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.428%0.43%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.575%2.58%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Montgomery Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Montgomery 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 Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery 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 FranciscoTucsonAlbuquerque950300Tract 950300Township 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadTri-City United School DistrictTri-City UnitedMidwestNorthwest HarrisNW HarrisWashingtonAtlantaLe Sueur CountyLe SueurWest North CentralSeattleNortheast TarrantNE TarrantMinnesotaMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisPlanoSeattle EastMontgomery TownshipMontgomery28.998944%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%52,21752.2k3811.965812%11.965812%12.0%36411.553484%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%54,23054.2k4310.370010%10.370010%10.4%85210.244520%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%37,37337.4k469.236394%9.236394%9.2%1,7439.174633%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%158,334158k5.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k503.488372%3.488372%3.5%18
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisTown 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 VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasLe Sueur CountyLe SueurEl PasoBronxSan BernardinoTri-City United School DistrictTri-City UnitedMontgomery TownshipMontgomerySan Antonio CentralSan Antonio CntrlDetroit950300Tract 95030060.434640%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%223,068223k1239.983752%39.983752%40.0%935,591936k38.767308%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%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.366117%21.366117%21.4%4,03221.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.116845%15.116845%15.1%1,24215.116279%15.116279%15.1%7814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5012.557528%12.557528%12.6%382
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiMinneapolis, St. Paul, and Bloomington Metro AreaMinneapolisNortheast 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 VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxLe Sueur CountyLe SueurDetroitMontgomery TownshipMontgomeryTri-City United School DistrictTri-City United950300Tract 95030012.461852%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%27,61827.6k203.980678%3.980678%4.0%93,14593.1k3.827408%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%15,54715.5k402.324315%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%15,06415.1k491.626835%1.626835%1.6%3071.318660%1.318660%1.3%5,693501.162791%1.162791%1.2%60.632911%0.632911%0.6%520.197239%0.197239%0.2%6
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
Female
Male
1x0x1xFM#1, CharlotteDetroitLe SueurBaltimoreTulsaSW DallasWest North CentralMinnesotaMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaTract 950300OntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueMinneapolisWashingtonSacramentoColumbusSalt Lk CityDenverTri-City UnitedNE 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 PasoMontgomery-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.191641x1.191641x1.19x8.421%8.42%10.035%10.0%-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-1.000000x1.137506x1.137506x1.14x8.598%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-1.000000x1.088528x1.088528x1.09x11.420%11.4%12.431%12.4%-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-1.000000x1.065442x1.065442x1.07x6.557%6.56%6.987%6.99%-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-1.000000x1.048679x1.048679x1.05x10.114%10.1%10.606%10.6%-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50-1.908645x-1.908645x1.91x1.000000x1.000000x4.721%4.72%2.473%2.47%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
Female
Male
10x5x0xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantMinnesotaTampaSan Fernando VlyE San Gabriel VlyMinneapolisHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverLe SueurSan FranciscoDetroitTri-City UnitedTract 950300Montgomery-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-1.000000x1.437316x1.437316x1.44x3.281%3.28%4.716%4.72%-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-1.000000x1.395174x1.395174x1.40x3.384%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-1.000000x1.122442x1.122442x1.12x1.532%1.53%1.720%1.72%-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%50-1.732218x-1.732218x1.73x1.000000x1.000000x0.811%0.81%0.468%0.47%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.428%0.43%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.575%2.58%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Minnesota
County:
Le Sueur
Metro Area:
Minneapolis Area
ZIP Codes:
56057, 56069
Unified School District:
Tri-City United
Congressional District:
MN-1
State Senate District:
MN-20
State House District:
MN-20B
Neighboring Cities:
Montgomery
Neighboring Townships:
Cordova, Derrynane, Erin, Kilkenny, Lanesburgh, Lexington, Shieldsville, Wheatland
Nearby Townships:
Forest, Helena, Sharon, Waterville