Educational Attainment in the Monroe Township, Turner County, South Dakota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Turner County and the Monroe Township
Monroe Township
Turner County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma230.088496%35.910653%30.088496%30.1%3469.911504%56.288660%69.911504%69.9%790.000000%0.000000%0.0%7.800687%0
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 Turner County at large.
Scope: population of Turner County and the Monroe Township
-100%0%+100%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-16.212897%-16.212897%-16.2%30.088%30.1%35.911%35.9%24.201757%24.201757%+24.2%69.912%69.9%56.289%56.3%-100.000000%-100.000000%-100.0%0.000%0%7.801%7.80%
% percentage with given level in the Monroe Township
ref. percentage with given level in Turner 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 Turner County and the Monroe Township
Monroe Township
Turner County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.738832%00.000000%0.000000%0.0%0.807560%02.654867%4.243986%2.654867%2.7%32.654867%15.652921%2.654867%2.7%324.778761%14.467354%24.778761%24.8%2849.557522%20.945017%49.557522%49.6%5620.353982%35.343643%20.353982%20.4%230.000000%0.000000%0.0%4.329897%00.000000%0.000000%0.0%3.350515%00.000000%0.000000%0.0%0.120275%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Turner County at large.
Scope: population of Turner County and the Monroe 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%0.739%0.74%-100.000000%-100.000000%-100.0%0.000%0%0.808%0.81%-37.444018%-37.444018%-37.4%2.655%2.65%4.244%4.24%-83.039158%-83.039158%-83.0%2.655%2.65%15.653%15.7%71.273622%71.273622%+71.3%24.779%24.8%14.467%14.5%136.607694%136.607694%+136.6%49.558%49.6%20.945%20.9%-42.411193%-42.411193%-42.4%20.354%20.4%35.344%35.3%-100.000000%-100.000000%-100.0%0.000%0%4.330%4.33%-100.000000%-100.000000%-100.0%0.000%0%3.351%3.35%-100.000000%-100.000000%-100.0%0.000%0%0.120%0.12%
% percentage with given level in the Monroe Township
ref. percentage with given level in Turner 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 Turner County and the Monroe Township
More Females More Males
Turner County
Monroe Township
10%5%0%5%FMHigher Degree1H.S. Diploma2-10.987356%5.454545%5.454545%5%29.310%29.3%30.909%30.9%-2.313975%-2.313975%2%7.423474%70.690%70.7%69.091%69.1%
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 Turner County and the Monroe Township
More Females More Males
Turner County
Monroe Township
0%500%1,000%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School21,000.000000%13.709869%1,000.000000%> 1000%0.000%0%5.455%5.45%-39.407959%1,000.000000%1,000.000000%> 1000%0.000%0%5.455%5.45%-46.551724%-46.551724%47%0.212453%29.310%29.3%20.000%20.0%-26.436782%-27.823897%-26.436782%26%55.172%55.2%43.636%43.6%64.040404%29.698132%64.040404%64%15.517%15.5%25.455%25.5%
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 Turner County and the Monroe Township
Monroe Township
Turner County
0%5%10%15%20%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%14.574658%0100.000000%0.000000%0.0%12.185769%0417.317073%20.191286%7.317073%7.3%3410.000000%0.000000%0.0%22.326675%021
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 Turner County at large.
Scope: population of Turner County and the Monroe Township
100%80%60%40%20%0%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%14.575%14.6%-100.000000%-100.000000%100.0%0.000%0%12.186%12.2%-63.761232%-63.761232%63.8%7.317%7.32%20.191%20.2%-100.000000%-100.000000%100.0%0.000%0%22.327%22.3%
% percentage in the Monroe Township with a Bachelor's degree
ref percentage in Turner 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 Turner County and the Monroe Township
More Females More Males
Turner County
Monroe Township
0%500%1,000%FM35-44-144.336410%1,000.000000%1,000.000000%> 1000%0.000%0%18.750%18.8%
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 Turner County and the Monroe Township
Monroe Township
Turner County
$0k$10k$20k$30k$40kCount%Some CollegeH.S. Diploma2Total$42,813.000000$35,838.000000$42,813.000000$42.8k8474.336%74.3%$30,000.000000$31,523.000000$30,000.000000$30.0k2320.354%20.4%$40,833.000000$34,393.000000$40,833.000000$40.8k113100.000%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 Turner County and the Monroe Township
Female Male
Turner County
Monroe Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeTotal$-34,500.000000$-29,773.000000$-34,500.000000$34.5k$34,500.000000$16,807.000000$29,773.000000$17,638.000000$51,307.000000$51.3k4935$-34,000.000000$-29,151.000000$-34,000.000000$34.0k$34,000.000000$17,250.000000$29,151.000000$12,404.000000$51,250.000000$51.3k5855
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 Turner County and the Monroe Township
Monroe Township
Turner County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%88.864143%100.000000%100.0%388.750000%85.895884%88.750000%88.8%7195.000000%80.059524%95.000000%95.0%190.000000%0.000000%0.0%48.571429%0
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Turner County and the Monroe Township
Female Male
Turner County
Monroe Township
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%6%MFWhite1-0.000000%-6.971755%-0.271072%0.000000%0.0%0.000000%0.000000%6.971755%0.000000%0.0%00
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 Turner County and the Monroe Township
Female Male
Turner County
Monroe Township
Shaded bar tips show excess over facing bar.
20%10%0%10%MFWhite1-0.000000%-19.878441%-3.844442%0.000000%0.0%0.000000%10.909091%19.878441%10.909091%10.9%60
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 Sioux Falls Area

There are 108 county subdivisions in the Sioux Falls Area. This section compares the Monroe Township to the 50 most populous county subdivisions in the Sioux Falls Area and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 340.

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 Monroe Township, selected other county subdivisions in the Sioux Falls Area, and entities that contain the Monroe Township
0%5%10%15%20%Count#CanistotaHighland TownshipHighlandBridgewaterBeresfordGrant TownshipGrantViborgUnited States of AmericaUnited StatesSalemMidwestTaopi TownshipTaopiSioux FallsDayton TownshipDaytonCantonWest North CentralMarionSouth DakotaBenton TownshipBentonLennoxMapleton TownshipMapletonWayne TownshipWayneSioux Falls Metro AreaSioux FallsTurner CountyTurnerLyons TownshipLyonsLa Valley TownshipLa VlyBaltic965100Tract 965100Grand Meadow TownshipGrand MdwMontroseValley SpringsVly SpgsParkerCentervilleTown of HumboldtHumboldtColtonCanton TownshipCantonHartford TownshipHartfordCrooksDelapre TownshipDelapreHartfordWorthingDell RapidsSplit Rock TownshipSplit RockHurleySioux FallsGarretsonPerry TownshipPerryEdison TownshipEdisonLynn TownshipWall Lake TownshipWall LkHarrisburgBrandonSpringdale TownshipSpringdaleSverdrup TownshipSverdrupTeaDell Rapids TownshipDell RapidsBrandon TownshipBrandonMonroe TownshipMonroeHumboldt TownshipHumboldtMiddleton TownshipMiddleton23.157895%23.157895%23.2%88122.996516%22.996516%23.0%66222.857143%22.857143%22.9%72317.177914%17.177914%17.2%56414.718615%14.718615%14.7%34513.509317%13.509317%13.5%87613.020590%13.020590%13.0%27,818,38027.8M10.666667%10.666667%10.7%104710.244520%10.244520%10.2%4,641,8354.64M9.797297%9.797297%9.8%2989.702326%9.702326%9.7%9,12399.652510%9.652510%9.7%50109.388840%9.388840%9.4%212119.174633%9.174633%9.2%1,278,0511.28M8.976378%8.976378%9.0%57128.813537%8.813537%8.8%49,05549.1k8.483755%8.483755%8.5%47137.997266%7.997266%8.0%117147.950066%7.950066%8.0%121157.857143%7.857143%7.9%66167.847835%7.847835%7.8%12,67712.7k7.800687%7.800687%7.8%4547.551020%7.551020%7.6%37177.455013%7.455013%7.5%29187.342144%7.342144%7.3%50197.214016%7.214016%7.2%2107.031250%7.031250%7.0%18207.017544%7.017544%7.0%20216.958250%6.958250%7.0%35226.933333%6.933333%6.9%52236.712565%6.712565%6.7%39246.589147%6.589147%6.6%34256.170213%6.170213%6.2%29265.917160%5.917160%5.9%20275.882353%5.882353%5.9%18285.826397%5.826397%5.8%49295.537975%5.537975%5.5%70305.492639%5.492639%5.5%97315.349183%5.349183%5.3%36325.117271%5.117271%5.1%120334.757548%4.757548%4.8%104343.759398%3.759398%3.8%10353.667391%3.667391%3.7%591363.638645%3.638645%3.6%29373.061224%3.061224%3.1%18382.801120%2.801120%2.8%10392.723735%2.723735%2.7%7402.702703%2.702703%2.7%24412.122642%2.122642%2.1%63421.887113%1.887113%1.9%111431.596114%1.596114%1.6%23441.535836%1.535836%1.5%9451.520000%1.520000%1.5%38461.442308%1.442308%1.4%6470.931677%0.931677%0.9%6480.000000%0.000000%0.0%00.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older 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 Monroe Township, selected other county subdivisions in the Sioux Falls Area, and entities that contain the Monroe Township
0%10%20%30%40%50%Count#Sioux FallsHarrisburgSplit Rock TownshipSplit RockSpringdale TownshipSpringdaleHartford TownshipHartfordTeaCanton TownshipCantonHartfordHumboldt TownshipHumboldtWayne TownshipWayneBrandonSioux Falls Metro AreaSioux FallsBrandon TownshipBrandonDelapre TownshipDelapreEdison TownshipEdisonLyons TownshipLyonsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestGrand Meadow TownshipGrand MdwLa Valley TownshipLa VlyBalticSouth DakotaPerry TownshipPerryTaopi TownshipTaopiDell RapidsDayton TownshipDaytonCrooksSverdrup TownshipSverdrupMontroseWall Lake TownshipWall LkGarretsonTown of HumboldtHumboldtBenton TownshipBenton965100Tract 965100Turner CountyTurnerSalemMapleton TownshipMapletonCantonGrant TownshipGrantLynn TownshipParkerDell Rapids TownshipDell RapidsValley SpringsVly SpgsWorthingColtonLennoxHighland TownshipHighlandViborgCentervilleBridgewaterMarionHurleyCanistotaMiddleton TownshipMiddletonBeresfordMonroe TownshipMonroe52.057090%52.057090%52.1%8,389147.843666%47.843666%47.8%1,420245.059469%45.059469%45.1%985341.498959%41.498959%41.5%598438.562092%38.562092%38.6%118537.040000%37.040000%37.0%926635.207101%35.207101%35.2%119734.767837%34.767837%34.8%614834.296029%34.296029%34.3%95934.166667%34.166667%34.2%2871033.764026%33.764026%33.8%1,9861131.999257%31.999257%32.0%51,69051.7k31.366460%31.366460%31.4%2021231.170886%31.170886%31.2%3941331.092437%31.092437%31.1%1111430.408163%30.408163%30.4%1491530.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k1630.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.906250%28.906250%28.9%741728.277635%28.277635%28.3%1101827.753304%27.753304%27.8%1891927.450336%27.450336%27.5%152,785153k27.380952%27.380952%27.4%1612027.364865%27.364865%27.4%812126.652452%26.652452%26.7%6252226.640927%26.640927%26.6%1382326.634958%26.634958%26.6%2242425.426621%25.426621%25.4%1492524.912281%24.912281%24.9%712624.324324%24.324324%24.3%2162723.713927%23.713927%23.7%1892822.674419%22.674419%22.7%1172922.202166%22.202166%22.2%1233021.951220%21.951220%22.0%63921.443299%21.443299%21.4%1,24821.333333%21.333333%21.3%2083121.222076%21.222076%21.2%3233220.992028%20.992028%21.0%4743320.779221%20.779221%20.8%483420.622568%20.622568%20.6%533520.400000%20.400000%20.4%1533619.951923%19.951923%20.0%833719.284294%19.284294%19.3%973819.019316%19.019316%19.0%1283918.297872%18.297872%18.3%864018.250171%18.250171%18.3%2674118.118467%18.118467%18.1%524218.012422%18.012422%18.0%1164317.728055%17.728055%17.7%1034417.142857%17.142857%17.1%544517.007874%17.007874%17.0%1084615.789474%15.789474%15.8%424713.947368%13.947368%13.9%53488.994709%8.994709%9.0%17498.282209%8.282209%8.3%27505.309735%5.309735%5.3%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 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 Monroe Township, selected other county subdivisions in the Sioux Falls Area, and entities that contain the Monroe Township
0%1%2%3%4%5%6%Count#La Valley TownshipLa VlySplit Rock TownshipSplit RockSpringdale TownshipSpringdaleSioux FallsDayton TownshipDaytonDell Rapids TownshipDell RapidsEdison TownshipEdisonPerry TownshipPerryValley SpringsVly SpgsHarrisburgTeaMapleton TownshipMapletonUnited States of AmericaUnited StatesWest North CentralSioux Falls Metro AreaSioux FallsMidwestWayne TownshipWayneSioux FallsSouth DakotaHurleyHartfordBrandonCrooksDelapre TownshipDelapreCentervilleParkerTurner CountyTurnerSverdrup TownshipSverdrupLyons TownshipLyonsBrandon TownshipBrandonWall Lake TownshipWall Lk965100Tract 965100SalemCantonBenton TownshipBentonGarretsonTown of HumboldtHumboldtBalticDell RapidsViborgCanistotaMarionWorthingLennoxMonroe TownshipMonroeColtonLynn TownshipCanton TownshipCantonMontroseHartford TownshipHartfordBeresfordBridgewaterHighland TownshipHighlandTaopi TownshipTaopiGrand Meadow TownshipGrand MdwHumboldt TownshipHumboldtMiddleton TownshipMiddletonGrant TownshipGrant6.683805%6.683805%6.7%2616.129918%6.129918%6.1%13425.968078%5.968078%6.0%8635.963388%5.963388%6.0%96145.019305%5.019305%5.0%2654.086538%4.086538%4.1%1763.921569%3.921569%3.9%1473.741497%3.741497%3.7%2283.578529%3.578529%3.6%1893.537736%3.537736%3.5%105103.400000%3.400000%3.4%85113.350854%3.350854%3.4%51123.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.941158%2.941158%2.9%4,7512.893416%2.893416%2.9%1,311,0191.31M2.857143%2.857143%2.9%24132.841677%2.841677%2.8%2,672142.514252%2.514252%2.5%13,99414.0k2.255639%2.255639%2.3%6152.151755%2.151755%2.2%38162.006120%2.006120%2.0%118171.902497%1.902497%1.9%16181.819620%1.819620%1.8%23191.721170%1.721170%1.7%10201.600000%1.600000%1.6%12211.546392%1.546392%1.5%901.535836%1.535836%1.5%9221.428571%1.428571%1.4%7231.397516%1.397516%1.4%9241.351351%1.351351%1.4%12251.339746%1.339746%1.3%391.333333%1.333333%1.3%13261.284322%1.284322%1.3%29271.263538%1.263538%1.3%7281.003764%1.003764%1.0%8290.968992%0.968992%1.0%5300.881057%0.881057%0.9%6310.724947%0.724947%0.7%17320.621118%0.621118%0.6%4330.526316%0.526316%0.5%2340.472441%0.472441%0.5%3350.445765%0.445765%0.4%3360.341763%0.341763%0.3%5370.000000%0.000000%0.0%00.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Educational Attainment by County Subdivision in South Dakota

There are 1,335 county subdivisions in South Dakota. This section compares the Monroe Township to the 50 most populous county subdivisions in South Dakota and to those entities that contain or substantially overlap with the Monroe Township. The least populous of the compared county subdivisions has a population of 2,278.

No H.S. Diploma by County Subdivision#18

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in South Dakota, and entities that contain the Monroe Township
0%5%10%15%20%25%Count#West ToddEast Oglala LakotaE Oglala LakotaEast CorsonWest Oglala LakotaW Oglala LakotaHuronSissetonEast ToddWinnerMobridgeNorth DeweyUnited States of AmericaUnited StatesNorth Sioux CityN Sioux CityMidwestLeadMilbankFort PierreMitchellPierreSioux FallsCantonSturgisWest North CentralWest ButteYanktonSouth DakotaBox ElderAberdeenWatertownRapid CitySioux Falls Metro AreaSioux FallsTurner CountyTurnerHot SpringsWest CusterChamberlainBelle Fourche965100Tract 965100MadisonSouthwest MeadeSW MeadeWest YanktonRedfieldHartfordCentral PenningtonCntrl PenningtonSpearfishDell RapidsVermillionSplit Rock TownshipSplit RockBig Sioux TownshipBig SiouxMount RushmoreMt RushmoreBrookingsBox ElderSioux FallsWest HughesNorth LawrenceN LawrenceHarrisburgBrandonSpringdale TownshipSpringdaleTeaMonroe TownshipMonroe26.419857%26.419857%26.4%628123.352855%23.352855%23.4%638221.846154%21.846154%21.8%284321.305273%21.305273%21.3%901419.339458%19.339458%19.3%1,663517.559524%17.559524%17.6%295614.750151%14.750151%14.8%245714.250125%14.250125%14.3%286813.656041%13.656041%13.7%347913.483764%13.483764%13.5%2451013.020590%13.020590%13.0%27,818,38027.8M12.222888%12.222888%12.2%2041110.244520%10.244520%10.2%4,641,8354.64M10.186389%10.186389%10.2%2351210.160920%10.160920%10.2%2211310.089400%10.089400%10.1%158149.976200%9.976200%10.0%1,006159.786495%9.786495%9.8%958169.702326%9.702326%9.7%9,123179.388840%9.388840%9.4%212189.364909%9.364909%9.4%435199.174633%9.174633%9.2%1,278,0511.28M8.965929%8.965929%9.0%150208.859746%8.859746%8.9%885218.813537%8.813537%8.8%49,05549.1k8.696917%8.696917%8.7%299228.481745%8.481745%8.5%1,524238.084058%8.084058%8.1%1,181247.926704%7.926704%7.9%3,850257.847835%7.847835%7.8%12,67712.7k7.800687%7.800687%7.8%4547.445632%7.445632%7.4%202267.441592%7.441592%7.4%258277.435159%7.435159%7.4%129287.221350%7.221350%7.2%276297.214016%7.214016%7.2%2106.674392%6.674392%6.7%288306.256121%6.256121%6.3%511316.090226%6.090226%6.1%162325.858171%5.858171%5.9%114335.492639%5.492639%5.5%97345.278205%5.278205%5.3%480355.231536%5.231536%5.2%357365.117271%5.117271%5.1%120374.908504%4.908504%4.9%228384.757548%4.757548%4.8%104394.303279%4.303279%4.3%105404.091154%4.091154%4.1%228413.850760%3.850760%3.9%418423.776824%3.776824%3.8%44433.667391%3.667391%3.7%591443.335250%3.335250%3.3%58453.233720%3.233720%3.2%145462.122642%2.122642%2.1%63471.887113%1.887113%1.9%111481.596114%1.596114%1.6%23491.520000%1.520000%1.5%38500.000000%0.000000%0.0%0
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#19

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in South Dakota, and entities that contain the Monroe Township
0%10%20%30%40%50%Count#VermillionSioux FallsHarrisburgBig Sioux TownshipBig SiouxBrookingsSplit Rock TownshipSplit RockWest HughesMount RushmoreMt RushmoreSpringdale TownshipSpringdaleNorth LawrenceN LawrenceTeaHartfordBrandonMadisonSpearfishPierreSioux Falls Metro AreaSioux FallsRapid CityUnited States of AmericaUnited StatesSioux FallsWest North CentralYanktonWest CusterChamberlainMidwestAberdeenLeadSouth DakotaSouthwest MeadeSW MeadeFort PierreMitchellDell RapidsWest YanktonWest ButteWinnerHot SpringsMobridge965100Tract 965100East ToddNorth Sioux CityN Sioux CityTurner CountyTurnerCantonWatertownBox ElderHuronSturgisCentral PenningtonCntrl PenningtonSissetonBelle FourcheRedfieldBox ElderNorth DeweyEast CorsonMilbankEast Oglala LakotaE Oglala LakotaWest ToddWest Oglala LakotaW Oglala LakotaMonroe TownshipMonroe55.026911%55.026911%55.0%2,556152.057090%52.057090%52.1%8,389247.843666%47.843666%47.8%1,420347.745902%47.745902%47.7%1,165447.250115%47.250115%47.3%5,129545.059469%45.059469%45.1%985642.955722%42.955722%43.0%747742.436749%42.436749%42.4%2,365841.498959%41.498959%41.5%598938.157895%38.157895%38.2%1,7111037.040000%37.040000%37.0%9261134.767837%34.767837%34.8%6141233.764026%33.764026%33.8%1,9861333.534183%33.534183%33.5%1,4471433.015826%33.015826%33.0%2,2531532.516089%32.516089%32.5%3,1831631.999257%31.999257%32.0%51,69051.7k30.533251%30.533251%30.5%14,83014.8k1730.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k1830.056536%30.056536%30.1%4,186,9564.19M29.842827%29.842827%29.8%2,9811929.622152%29.622152%29.6%1,0272029.452450%29.452450%29.5%5112128.952816%28.952816%29.0%13,118,64213.1M28.317008%28.317008%28.3%5,0882227.568270%27.568270%27.6%6362327.450336%27.450336%27.5%152,785153k27.215965%27.215965%27.2%2,2232427.075351%27.075351%27.1%4242526.824673%26.824673%26.8%2,7052626.652452%26.652452%26.7%6252726.578947%26.578947%26.6%7072825.582785%25.582785%25.6%4282924.065770%24.065770%24.1%4833022.889790%22.889790%22.9%6213122.077922%22.077922%22.1%5613221.951220%21.951220%22.0%63921.733895%21.733895%21.7%3613321.569802%21.569802%21.6%3603421.443299%21.443299%21.4%1,24820.992028%20.992028%21.0%4743520.898077%20.898077%20.9%3,0533620.600858%20.600858%20.6%2403720.002326%20.002326%20.0%1,7203819.763186%19.763186%19.8%9183918.803607%18.803607%18.8%1,7104018.452381%18.452381%18.5%3104118.158032%18.158032%18.2%6944218.088386%18.088386%18.1%3524317.626527%17.626527%17.6%6064413.538800%13.538800%13.5%2464513.076923%13.076923%13.1%1704612.413793%12.413793%12.4%2704711.713031%11.713031%11.7%3204810.769878%10.769878%10.8%2564910.711752%10.711752%10.7%453505.309735%5.309735%5.3%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 bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#20

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 Monroe Township, selected other county subdivisions in South Dakota, and entities that contain the Monroe Township
0%5%10%Count#VermillionBig Sioux TownshipBig SiouxBrookingsMount RushmoreMt RushmoreSplit Rock TownshipSplit RockSpringdale TownshipSpringdaleSioux FallsWest HughesFort PierreWinnerSpearfishMadisonMobridgeHarrisburgTeaWest YanktonUnited States of AmericaUnited StatesHot SpringsPierreYanktonWest North CentralSioux Falls Metro AreaSioux FallsChamberlainRapid CityMidwestSioux FallsNorth LawrenceN LawrenceRedfieldWest CusterSouth DakotaAberdeenSouthwest MeadeSW MeadeHartfordBrandonCentral PenningtonCntrl PenningtonSissetonBox ElderTurner CountyTurnerNorth Sioux CityN Sioux CityMitchell965100Tract 965100CantonLeadSturgisWest ToddWatertownDell RapidsBelle FourcheMilbankNorth DeweyHuronEast ToddWest Oglala LakotaW Oglala LakotaBox ElderMonroe TownshipMonroeEast Oglala LakotaE Oglala LakotaEast CorsonWest Butte13.842842%13.842842%13.8%643110.737705%10.737705%10.7%26226.927683%6.927683%6.9%75236.352055%6.352055%6.4%35446.129918%6.129918%6.1%13455.968078%5.968078%6.0%8665.963388%5.963388%6.0%96174.715354%4.715354%4.7%8284.150702%4.150702%4.2%6593.986049%3.986049%4.0%80103.898007%3.898007%3.9%266113.777520%3.777520%3.8%163123.541913%3.541913%3.5%90133.537736%3.537736%3.5%105143.400000%3.400000%3.4%85153.345865%3.345865%3.3%89163.336158%3.336158%3.3%7,127,6737.13M3.243642%3.243642%3.2%88173.197467%3.197467%3.2%313183.003304%3.003304%3.0%300192.978981%2.978981%3.0%414,980415k2.941158%2.941158%2.9%4,7512.939481%2.939481%2.9%51202.927733%2.927733%2.9%1,422212.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672222.720785%2.720785%2.7%122232.569373%2.569373%2.6%50242.567061%2.567061%2.6%89252.514252%2.514252%2.5%13,99414.0k2.254007%2.254007%2.3%405262.252693%2.252693%2.3%184272.151755%2.151755%2.2%38282.006120%2.006120%2.0%118291.792391%1.792391%1.8%163301.785714%1.785714%1.8%30311.774287%1.774287%1.8%61321.546392%1.546392%1.5%901.437987%1.437987%1.4%24331.388338%1.388338%1.4%140341.339746%1.339746%1.3%391.284322%1.284322%1.3%29351.257044%1.257044%1.3%29361.227126%1.227126%1.2%57371.177955%1.177955%1.2%28380.937778%0.937778%0.9%137390.724947%0.724947%0.7%17400.627943%0.627943%0.6%24410.459770%0.459770%0.5%10420.440286%0.440286%0.4%8430.430283%0.430283%0.4%37440.421433%0.421433%0.4%7450.401986%0.401986%0.4%17460.257511%0.257511%0.3%3470.000000%0.000000%0.0%00.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#21

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralSouth DakotaCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSioux Falls Metro AreaSioux FallsTurner CountyTurnerSchaumburg TownshipSchaumburg965100Tract 965100LincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborMonroe TownshipMonroe33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.847835%7.847835%7.8%12,67712.7k7.800687%7.800687%7.8%4547.739434%7.739434%7.7%7,226387.214016%7.214016%7.2%2107.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%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%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,057500.000000%0.000000%0.0%0
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#22

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleSioux Falls Metro AreaSioux FallsCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsSouth DakotaTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukee965100Tract 965100Rockford TownshipRockfordTurner CountyTurnerAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroitMonroe TownshipMonroe72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%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%25,12725.1k2731.999257%31.999257%32.0%51,69051.7k31.793440%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%25,60325.6k3127.450336%27.450336%27.5%152,785153k27.007248%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%85,81285.8k3621.951220%21.951220%22.0%63921.592552%21.592552%21.6%25,23525.2k3721.443299%21.443299%21.4%1,24820.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k505.309735%5.309735%5.3%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 bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#23

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 Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSioux Falls Metro AreaSioux FallsSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaSouth DakotaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNTurner CountyTurnerSterling HeightsSterling HtsKansas City965100Tract 965100DetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonMonroe TownshipMonroe17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%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%414,980415k2.941158%2.941158%2.9%4,7512.911721%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%6,260322.514252%2.514252%2.5%13,99414.0k2.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.546392%1.546392%1.5%901.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.339746%1.339746%1.3%391.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.000000%0.000000%0.0%0
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).

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#24

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleSouth DakotaNortheast TarrantNE TarrantSioux Falls Metro AreaSioux FallsTurner CountyTurner965100Tract 965100PlanoSeattle EastMonroe TownshipMonroe28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.813537%8.813537%8.8%49,05549.1k8.418271%8.418271%8.4%31,44331.4k487.847835%7.847835%7.8%12,67712.7k7.800687%7.800687%7.8%4547.214016%7.214016%7.2%2105.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k500.000000%0.000000%0.0%0
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#25

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonSioux Falls Metro AreaSioux FallsOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoSouth DakotaEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresno965100Tract 965100Las VegasTurner CountyTurnerEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitMonroe TownshipMonroe60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%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%184,237184k2631.999257%31.999257%32.0%51,69051.7k31.198303%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%209,283209k3627.450336%27.450336%27.5%152,785153k27.276345%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%94,05694.1k4421.951220%21.951220%22.0%63921.702666%21.702666%21.7%271,037271k4521.443299%21.443299%21.4%1,24821.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k505.309735%5.309735%5.3%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 bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#26

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 Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralSioux Falls Metro AreaSioux FallsMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantSouth DakotaEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxTurner CountyTurner965100Tract 965100DetroitMonroe TownshipMonroe12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%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%414,980415k2.941158%2.941158%2.9%4,7512.893416%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%9,827392.514252%2.514252%2.5%13,99414.0k2.484535%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%15,06415.1k491.546392%1.546392%1.5%901.339746%1.339746%1.3%391.318660%1.318660%1.3%5,693500.000000%0.000000%0.0%0
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).

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
South Dakota
County:
Turner
Metro Area:
Sioux Falls Area
ZIP Codes:
57043, 57047, 57053
Unified School Districts:
Marion 60-3, Parker 60-4
Congressional District:
SD-At Large
State Senate District:
SD-17
State House District:
SD-17
Neighboring Cities:
Marion
Neighboring Towns:
Monroe
Neighboring Townships:
Brothersfield, Dolton, Grant, Marion, Parker, Rosefield, Spring Valley
Nearby Townships:
Greenland, Home, Hurley, Norway, Silver Lake, Union, Wellington