Educational Attainment in the Monroe Township, Wayne County, Iowa (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Wayne County and the Monroe Township
Monroe Township
Wayne County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma27.058824%23.733455%7.058824%7.1%629.411765%65.495208%29.411765%29.4%2563.529412%10.771337%63.529412%63.5%54
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 Wayne County at large.
Scope: population of Wayne County and the Monroe Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-70.257919%-70.257919%-70.3%7.059%7.06%23.733%23.7%-55.093257%-55.093257%-55.1%29.412%29.4%65.495%65.5%489.800598%489.800598%+489.8%63.529%63.5%10.771%10.8%
% percentage with given level in the Monroe Township
ref. percentage with given level in Wayne 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 Wayne County and the Monroe Township
Monroe Township
Wayne County
0%10%20%30%40%50%60%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.091283%00.000000%0.000000%0.0%0.867184%00.000000%0.000000%0.0%3.057964%00.000000%0.000000%0.0%9.036969%07.058824%10.680055%7.058824%7.1%67.058824%19.785486%7.058824%7.1%622.352941%45.709722%22.352941%22.4%190.000000%0.000000%0.0%5.089000%063.529412%4.997718%63.529412%63.5%540.000000%0.000000%0.0%0.684619%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 Wayne County at large.
Scope: population of Wayne County and the Monroe Township
-1k%0k%+1k%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-0.1k%0.000%0%0.091%0.09%-100.000000%-100.000000%-0.1k%0.000%0%0.867%0.87%-100.000000%-100.000000%-0.1k%0.000%0%3.058%3.06%-100.000000%-100.000000%-0.1k%0.000%0%9.037%9.04%-33.906486%-33.906486%-0.0k%7.059%7.06%10.680%10.7%-64.323224%-64.323224%-0.1k%7.059%7.06%19.785%19.8%-51.098059%-51.098059%-0.1k%22.353%22.4%45.710%45.7%-100.000000%-100.000000%-0.1k%0.000%0%5.089%5.09%1,171.168413%1,171.168413%+1.2k%63.529%63.5%4.998%5.00%-100.000000%-100.000000%-0.1k%0.000%0%0.685%0.68%
% percentage with given level in the Monroe Township
ref. percentage with given level in Wayne 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 Wayne County and the Monroe Township
More Females More Males
Wayne County
Monroe Township
0%500%1,000%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-29.922217%1,000.000000%1,000.000000%> 1000%0.000%0%15.789%15.8%-2.901354%-2.901354%3%6.728101%29.787%29.8%28.947%28.9%-27.051672%-27.051672%27%19.205584%70.213%70.2%55.263%55.3%
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 Wayne County and the Monroe Township
More Females More Males
Wayne County
Monroe Township
1k%0k%1k%FMAssociate's1Some CollegeHigh School2Less than H.S.3-44.451153%1,000.000000%1,000.000000%> 1000%0.000%0%15.789%15.8%-1,000.000000%-26.778937%-1,000.000000%> 1000%12.766%12.8%0.000%0%70.065789%21.583780%70.065789%0k%17.021%17.0%28.947%28.9%-27.051672%-41.831753%-27.051672%0k%70.213%70.2%55.263%55.3%
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 Wayne County and the Monroe Township
Monroe Township
Wayne County
0%2%4%6%8%10%12%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%7.112971%0150.000000%0.000000%0.0%9.176471%0530.000000%0.000000%0.0%9.747899%0130.000000%0.000000%0.0%12.251149%04
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 Wayne County at large.
Scope: population of Wayne 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%7.113%7.11%-100.000000%-100.000000%100.0%0.000%0%9.176%9.18%-100.000000%-100.000000%100.0%0.000%0%9.748%9.75%-100.000000%-100.000000%100.0%0.000%0%12.251%12.3%
% percentage in the Monroe Township with a Bachelor's degree
ref percentage in Wayne County with a Bachelor's degree

Employment by Educational Attainment#9

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Wayne County and the Monroe Township
Monroe Township
Wayne County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%88.697789%050.000000%79.906103%50.000000%50.0%6100.000000%66.277129%100.000000%100.0%435.185185%55.755396%35.185185%35.2%19
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#10

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Wayne County and the Monroe Township
Female Male
Wayne County
Monroe Township
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%MFWhite1-55.263158%-14.949608%-10.068337%-70.212766%70.2%55.263158%10.068337%1.772507%55.263158%55.3%2133
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#11

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Wayne County and the Monroe Township
Female Male
Wayne County
Monroe Township
Shaded bar tips show excess over facing bar.
10%5%0%5%10%MFWhite1-0.000000%-11.936721%-2.231844%0.000000%0.0%0.000000%0.000000%11.936721%0.000000%0.0%00
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 Iowa

There are 1,662 county subdivisions in Iowa. This section compares the Monroe Township to the 50 most populous county subdivisions in Iowa 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 9,112.

No H.S. Diploma by County Subdivision#12

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 Iowa, and entities that contain the Monroe Township
0%20%40%60%Count#Monroe TownshipMonroeStorm LakeTaylor TownshipTaylorSeymour Community School DistrictSeymourZIP Code 52590ZIP 52590Lee Township070300Tract 070300Sioux CityCenter TownshipCtrBloomington TownshipBloomingtonUnited States of AmericaUnited StatesKane TownshipBloomfield TownshipBloomfieldWaterlooTimber Creek TownshipTimber CrkWayne CountyWayneKeokukDes Moines TownshipDes MoinesMidwestClintonFort DodgeAmerica TownshipAmericaBurlingtonLewis TownshipLewisWest North CentralDavenportOskaloosaDubuqueFour Mile TownshipFour MileIowaCarrollLake Prairie TownshipLk PrairieNewton TownshipNewtonMadison TownshipMadisonMason CityKnoxville TownshipKnoxvilleSpencerGrinnellCedar RapidsClay TownshipWalnut TownshipWalnutIndianolaIowa CityMonroe TownshipMonroeDecorah TownshipDecorahFairfieldWaverlyCedar FallsDes Moines TownshipDes MoinesWebster TownshipWebsterMarion TownshipMarionWashington TownshipWashingtonPleasant Valley TownshipPleasant VlyPenn TownshipFranklin TownshipFranklinCrocker TownshipCrockerBoone TownshipBooneWalnut TownshipWalnutJefferson TownshipJefferson63.529412%63.529412%63.5%5434.354812%34.354812%34.4%2,074123.659118%23.659118%23.7%2,779221.397059%21.397059%21.4%29120.326409%20.326409%20.3%13718.284948%18.284948%18.3%7,495316.788856%16.788856%16.8%22916.196427%16.196427%16.2%8,450415.715486%15.715486%15.7%2,806513.713927%13.713927%13.7%2,186613.020590%13.020590%13.0%27,818,38027.8M12.980648%12.980648%13.0%4,635712.645607%12.645607%12.6%2,638812.467653%12.467653%12.5%5,637911.757089%11.757089%11.8%9081010.771337%10.771337%10.8%47210.639768%10.639768%10.6%7701110.617515%10.617515%10.6%7,1631210.244520%10.244520%10.2%4,641,8354.64M10.089266%10.089266%10.1%1,831139.928726%9.928726%9.9%1,602149.280545%9.280545%9.3%654159.207132%9.207132%9.2%1,606169.196439%9.196439%9.2%816179.174633%9.174633%9.2%1,278,0511.28M8.840661%8.840661%8.8%5,980188.796236%8.796236%8.8%673198.612735%8.612735%8.6%3,360208.413143%8.413143%8.4%571218.255425%8.255425%8.3%169,966170k8.126181%8.126181%8.1%559227.744017%7.744017%7.7%576237.720728%7.720728%7.7%815247.710058%7.710058%7.7%568257.497647%7.497647%7.5%1,434267.269629%7.269629%7.3%512276.644476%6.644476%6.6%519286.612686%6.612686%6.6%343295.981653%5.981653%6.0%5,099305.396318%5.396318%5.4%642315.380715%5.380715%5.4%2,515325.145610%5.145610%5.1%470335.094424%5.094424%5.1%1,945344.730545%4.730545%4.7%431354.663900%4.663900%4.7%281364.532206%4.532206%4.5%311374.398977%4.398977%4.4%258384.395197%4.395197%4.4%948394.280822%4.280822%4.3%400403.720990%3.720990%3.7%1,459413.688334%3.688334%3.7%1,031423.238213%3.238213%3.2%522432.709515%2.709515%2.7%688442.466837%2.466837%2.5%424452.463319%2.463319%2.5%366462.118938%2.118938%2.1%703471.559792%1.559792%1.6%234481.285362%1.285362%1.3%214491.127989%1.127989%1.1%7550
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#13

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 Iowa, and entities that contain the Monroe Township
0%20%40%60%Count#Boone TownshipBooneFranklin TownshipFranklinWashington TownshipWashingtonIowa CityPenn TownshipWalnut TownshipWalnutJefferson TownshipJeffersonWalnut TownshipWalnutPleasant Valley TownshipPleasant VlyWebster TownshipWebsterCrocker TownshipCrockerCedar FallsLake Prairie TownshipLk PrairieDecorah TownshipDecorahFairfieldWaverlyMarion TownshipMarionDes Moines TownshipDes MoinesMonroe TownshipMonroeClay TownshipCedar RapidsGrinnellFour Mile TownshipFour MileUnited States of AmericaUnited StatesWest North CentralDubuqueMidwestIndianolaTimber Creek TownshipTimber CrkIowaDavenportCarrollLewis TownshipLewisOskaloosaFort DodgeWaterlooSpencerMason CitySioux CityBloomington TownshipBloomingtonDes Moines TownshipDes MoinesClintonAmerica TownshipAmericaBurlingtonKnoxville TownshipKnoxvilleBloomfield TownshipBloomfieldKane TownshipCenter TownshipCtrStorm LakeNewton TownshipNewtonKeokukTaylor TownshipTaylorWayne CountyWayneLee TownshipMadison TownshipMadisonSeymour Community School DistrictSeymour070300Tract 070300ZIP Code 52590ZIP 52590Monroe TownshipMonroe63.758166%63.758166%63.8%9,565163.736707%63.736707%63.7%9,470260.347395%60.347395%60.3%9,728359.902040%59.902040%59.9%22,87022.9k458.116128%58.116128%58.1%9,989557.907382%57.907382%57.9%9,641650.774553%50.774553%50.8%3,376750.379752%50.379752%50.4%23,54823.5k848.570416%48.570416%48.6%12,33312.3k947.839837%47.839837%47.8%18,75818.8k1045.953522%45.953522%46.0%15,24615.2k1143.409523%43.409523%43.4%9,3631239.499866%39.499866%39.5%2,9381338.240664%38.240664%38.2%2,3041438.122996%38.122996%38.1%2,6161537.016198%37.016198%37.0%2,1711636.278754%36.278754%36.3%10,14110.1k1734.579924%34.579924%34.6%23,32923.3k1833.958951%33.958951%34.0%3,0941932.655291%32.655291%32.7%3,8852031.793440%31.793440%31.8%27,10227.1k2131.116252%31.116252%31.1%1,6142230.381612%30.381612%30.4%2,0622330.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.724187%29.724187%29.7%11,59611.6k2428.952816%28.952816%29.0%13,118,64213.1M28.399387%28.399387%28.4%2,5942527.282144%27.282144%27.3%2,1072627.172145%27.172145%27.2%559,431559k26.697910%26.697910%26.7%18,05918.1k2725.090856%25.090856%25.1%1,7262825.008453%25.008453%25.0%2,2192924.911776%24.911776%24.9%1,9063022.776573%22.776573%22.8%3,6753122.015792%22.015792%22.0%9,9543221.482525%21.482525%21.5%1,6783321.358360%21.358360%21.4%4,0853420.857931%20.857931%20.9%10,88210.9k3520.658720%20.658720%20.7%3,2933619.798801%19.798801%19.8%1,8503719.610976%19.610976%19.6%3,5593819.455087%19.455087%19.5%1,3713919.050622%19.050622%19.1%3,3234017.265370%17.265370%17.3%1,2164116.830449%16.830449%16.8%3,5114216.198504%16.198504%16.2%5,7844316.169140%16.169140%16.2%2,8874415.355309%15.355309%15.4%9274515.223570%15.223570%15.2%1,6074615.089125%15.089125%15.1%1,0924714.864635%14.864635%14.9%1,7464813.053400%13.053400%13.1%57212.527446%12.527446%12.5%5,1354911.524365%11.524365%11.5%8495010.955882%10.955882%11.0%1497.991202%7.991202%8.0%1097.863501%7.863501%7.9%530.000000%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 bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#14

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 Iowa, and entities that contain the Monroe Township
0%5%10%Count#Iowa CityFranklin TownshipFranklinPenn TownshipWashington TownshipWashingtonBoone TownshipBooneGrinnellDecorah TownshipDecorahCedar FallsPleasant Valley TownshipPleasant VlyWalnut TownshipWalnutFairfieldWalnut TownshipWalnutWebster TownshipWebsterIndianolaCrocker TownshipCrockerLake Prairie TownshipLk PrairieDes Moines TownshipDes MoinesCarrollUnited States of AmericaUnited StatesWaverlyWest North CentralClay TownshipCedar RapidsMidwestStorm LakeTimber Creek TownshipTimber CrkDubuqueIowaMonroe TownshipMonroeJefferson TownshipJeffersonSioux CityLewis TownshipLewisMarion TownshipMarionOskaloosaDavenportWaterlooMason CityCenter TownshipCtrFort DodgeClintonBurlingtonDes Moines TownshipDes MoinesSpencerFour Mile TownshipFour MileKeokukBloomington TownshipBloomingtonTaylor TownshipTaylorBloomfield TownshipBloomfieldKnoxville TownshipKnoxvilleWayne CountyWayneKane TownshipMadison TownshipMadisonLee TownshipNewton TownshipNewtonZIP Code 52590ZIP 52590Seymour Community School DistrictSeymour070300Tract 070300America TownshipAmericaMonroe TownshipMonroe14.115089%14.115089%14.1%5,389112.982905%12.982905%13.0%1,929212.613451%12.613451%12.6%2,168310.688586%10.688586%10.7%1,72347.272364%7.272364%7.3%1,09157.056102%7.056102%7.1%36666.970954%6.970954%7.0%42076.472252%6.472252%6.5%1,39685.533239%5.533239%5.5%1,40595.496245%5.496245%5.5%2,569105.085981%5.085981%5.1%349114.714998%4.714998%4.7%785124.598317%4.598317%4.6%1,803134.247865%4.247865%4.2%388144.198692%4.198692%4.2%1,393154.140898%4.140898%4.1%308164.058461%4.058461%4.1%2,738174.012211%4.012211%4.0%276183.336158%3.336158%3.3%7,127,6737.13M3.017903%3.017903%3.0%177192.978981%2.978981%3.0%414,980415k2.975540%2.975540%3.0%354202.905776%2.905776%2.9%2,477212.893416%2.893416%2.9%1,311,0191.31M2.882226%2.882226%2.9%174222.848634%2.848634%2.8%220232.740183%2.740183%2.7%1,069242.675779%2.675779%2.7%55,09055.1k2.579300%2.579300%2.6%235252.526696%2.526696%2.5%168262.348003%2.348003%2.3%1,225272.332920%2.332920%2.3%207282.210854%2.210854%2.2%618292.208862%2.208862%2.2%169302.105201%2.105201%2.1%1,424311.999425%1.999425%2.0%904321.908397%1.908397%1.9%365331.764212%1.764212%1.8%315341.735358%1.735358%1.7%280351.592462%1.592462%1.6%289361.502035%1.502035%1.5%262371.487586%1.487586%1.5%139381.485085%1.485085%1.5%116391.340799%1.340799%1.3%91401.271245%1.271245%1.3%92411.248432%1.248432%1.2%199421.021624%1.021624%1.0%120431.021044%1.021044%1.0%213441.008093%1.008093%1.0%71450.958466%0.958466%1.0%420.873778%0.873778%0.9%312460.828017%0.828017%0.8%61470.727007%0.727007%0.7%298480.663130%0.663130%0.7%70490.593472%0.593472%0.6%40.294118%0.294118%0.3%40.293255%0.293255%0.3%40.255428%0.255428%0.3%18500.000000%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).

Under-Education Sex Ratio by County Subdivision#15

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 Monroe Township, selected other county subdivisions in Iowa, and entities that contain the Monroe Township
Female
Male
2x1x0x1x2xFM#WaverlyIndianolaWalnutCrockerKnoxvilleGrinnellPenn TownshipMonroeKane TownshipFort DodgeMadisonSpencerTimber CrkMason CityJeffersonCtrCedar RapidsTaylorIowaWaterlooSioux CityBloomfieldDecorahWayneClintonWest North CentralMidwestOskaloosaKeokukLee TownshipUnited StatesTract 070300DavenportStorm LakeCarrollWalnutFour MileDes MoinesSeymourBooneDubuqueBurlingtonIowa CityLewisBloomingtonPleasant VlyNewtonZIP 52590Cedar FallsWashingtonMarionDes MoinesClay TownshipMonroeWebsterAmericaLk PrairieFairfieldFranklin-1.000000x-1.000000x2.540306x2.540306x2.54x2.517%2.52%6.395%6.39%1-1.000000x-1.000000x2.477245x2.477245x2.48x3.115%3.12%7.717%7.72%2-1.000000x-1.000000x2.344641x2.344641x2.34x0.776%0.78%1.818%1.82%3-1.000000x-1.000000x1.956829x1.956829x1.96x1.438%1.44%2.814%2.81%4-1.000000x-1.000000x1.942776x1.942776x1.94x4.996%5.00%9.706%9.71%5-1.000000x-1.000000x1.869010x1.869010x1.87x4.775%4.78%8.925%8.92%6-1.000000x-1.000000x1.708408x1.708408x1.71x1.856%1.86%3.172%3.17%7-1.000000x-1.000000x1.542957x1.542957x1.54x3.730%3.73%5.756%5.76%8-1.000000x-1.000000x1.432627x1.432627x1.43x10.746%10.7%15.395%15.4%9-1.000000x-1.000000x1.418629x1.418629x1.42x8.221%8.22%11.662%11.7%10-1.000000x-1.000000x1.414323x1.414323x1.41x6.350%6.35%8.981%8.98%11-1.000000x-1.000000x1.376484x1.376484x1.38x5.643%5.64%7.768%7.77%12-1.000000x-1.000000x1.361949x1.361949x1.36x10.030%10.0%13.660%13.7%13-1.000000x-1.000000x1.301303x1.301303x1.30x6.555%6.55%8.530%8.53%14-1.000000x-1.000000x1.278483x1.278483x1.28x0.990%0.99%1.266%1.27%15-1.000000x-1.000000x1.245854x1.245854x1.25x14.051%14.1%17.506%17.5%16-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%17-1.000000x-1.000000x1.224069x1.224069x1.22x21.242%21.2%26.002%26.0%18-1.000000x-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%-1.000000x-1.000000x1.210088x1.210088x1.21x11.326%11.3%13.706%13.7%19-1.000000x-1.000000x1.209764x1.209764x1.21x14.699%14.7%17.782%17.8%20-1.000000x-1.000000x1.199435x1.199435x1.20x11.553%11.6%13.857%13.9%21-1.000000x-1.000000x1.197117x1.197117x1.20x4.257%4.26%5.096%5.10%22-1.000000x-1.000000x1.192056x1.192056x1.19x9.848%9.85%11.740%11.7%-1.000000x-1.000000x1.164071x1.164071x1.16x9.372%9.37%10.910%10.9%23-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127448x1.127448x1.13x8.294%8.29%9.351%9.35%24-1.000000x-1.000000x1.113761x1.113761x1.11x10.081%10.1%11.228%11.2%25-1.000000x-1.000000x1.113211x1.113211x1.11x17.342%17.3%19.305%19.3%26-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101280x1.101280x1.10x16.000%16.0%17.620%17.6%-1.000000x-1.000000x1.096081x1.096081x1.10x8.447%8.45%9.259%9.26%27-1.000000x-1.000000x1.095872x1.095872x1.10x32.743%32.7%35.883%35.9%28-1.000000x-1.000000x1.086421x1.086421x1.09x7.812%7.81%8.487%8.49%29-1.000000x-1.000000x1.083485x1.083485x1.08x5.169%5.17%5.601%5.60%30-1.000000x-1.000000x1.077568x1.077568x1.08x8.112%8.11%8.741%8.74%31-1.000000x-1.000000x1.065665x1.065665x1.07x10.293%10.3%10.969%11.0%32-1.000000x-1.000000x1.049229x1.049229x1.05x20.893%20.9%21.922%21.9%-1.000000x-1.000000x1.040208x1.040208x1.04x1.531%1.53%1.592%1.59%33-1.000000x-1.000000x1.031402x1.031402x1.03x8.487%8.49%8.753%8.75%34-1.000000x-1.000000x1.017101x1.017101x1.02x9.133%9.13%9.289%9.29%35-1.000000x-1.000000x1.001400x1.001400x1.00x5.091%5.09%5.098%5.10%36-1.016767x-1.016767x1.02x1.000000x1.000000x9.266%9.27%9.113%9.11%37-1.029373x-1.029373x1.03x1.000000x1.000000x13.906%13.9%13.509%13.5%38-1.053887x-1.053887x1.05x1.000000x1.000000x2.776%2.78%2.634%2.63%39-1.120636x-1.120636x1.12x1.000000x1.000000x8.133%8.13%7.258%7.26%40-1.146251x-1.146251x1.15x1.000000x1.000000x21.607%21.6%18.850%18.8%-1.147614x-1.147614x1.15x1.000000x1.000000x4.689%4.69%4.086%4.09%41-1.176942x-1.176942x1.18x1.000000x1.000000x3.521%3.52%2.992%2.99%42-1.218480x-1.218480x1.22x1.000000x1.000000x4.040%4.04%3.316%3.32%43-1.223446x-1.223446x1.22x1.000000x1.000000x4.690%4.69%3.833%3.83%44-1.225257x-1.225257x1.23x1.000000x1.000000x5.892%5.89%4.809%4.81%45-1.270517x-1.270517x1.27x1.000000x1.000000x70.213%70.2%55.263%55.3%-1.305779x-1.305779x1.31x1.000000x1.000000x4.194%4.19%3.212%3.21%46-1.811108x-1.811108x1.81x1.000000x1.000000x11.813%11.8%6.522%6.52%47-1.837277x-1.837277x1.84x1.000000x1.000000x9.984%9.98%5.434%5.43%48-1.904625x-1.904625x1.90x1.000000x1.000000x6.022%6.02%3.162%3.16%49-2.935932x-2.935932x2.94x1.000000x1.000000x3.610%3.61%1.230%1.23%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the 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#16

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%20%40%60%Count#Monroe TownshipMonroeAurora TownshipAuroraCenter TownshipCtrKansas CityClevelandSeymour Community School DistrictSeymourWayne TownshipWayneDetroitZIP Code 52590ZIP 52590MilwaukeeNorth TownshipNDaytonChicago070300Tract 070300Proviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisWayne CountyWayneSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineIowaSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor63.529412%63.529412%63.5%5433.464284%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%54,98155.0k421.397059%21.397059%21.4%29121.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k620.326409%20.326409%20.3%13717.485105%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%309,770310k1016.788856%16.788856%16.8%22915.636222%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%29,34729.3k3010.771337%10.771337%10.8%47210.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695378.255425%8.255425%8.3%169,966170k7.739434%7.739434%7.7%7,226387.092309%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%2,05750
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#17

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 TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsIowaTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroitWayne CountyWayneSeymour Community School DistrictSeymour070300Tract 070300ZIP Code 52590ZIP 52590Monroe 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%25,12725.1k2731.793440%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%25,60325.6k3127.172145%27.172145%27.2%559,431559k27.007248%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%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%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%59,72359.7k5013.053400%13.053400%13.1%57210.955882%10.955882%11.0%1497.991202%7.991202%8.0%1097.863501%7.863501%7.9%530.000000%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 bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#18

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 CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheIowaCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipWayne CountyWayneAurora TownshipAuroraThornton TownshipThorntonZIP Code 52590ZIP 52590Seymour Community School DistrictSeymour070300Tract 070300Monroe 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%414,980415k2.911721%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%2,349292.675779%2.675779%2.7%55,09055.1k2.602914%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%3,018401.575684%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%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.958466%0.958466%1.0%420.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.593472%0.593472%0.6%40.294118%0.294118%0.3%40.293255%0.293255%0.3%40.000000%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).

Under-Education Sex Ratio by County Subdivision#19

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 Monroe Township, selected other county subdivisions in the Midwest, and entities that contain the Monroe Township
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoIowaThorntonWayneKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheTract 070300WorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusSeymourClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvZIP 52590MiltonMaineMonroe-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-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.192056x1.192056x1.19x9.848%9.85%11.740%11.7%-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-1.000000x1.132245x1.132245x1.13x19.779%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-1.000000x1.101280x1.101280x1.10x16.000%16.0%17.620%17.6%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.049229x1.049229x1.05x20.893%20.9%21.922%21.9%-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%48-1.146251x-1.146251x1.15x1.000000x1.000000x21.607%21.6%18.850%18.8%-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%50-1.270517x-1.270517x1.27x1.000000x1.000000x70.213%70.2%55.263%55.3%
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 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#20

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%20%40%60%Count#Monroe TownshipMonroeSan Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiSeymour Community School DistrictSeymourDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyZIP Code 52590ZIP 52590Fort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicago070300Tract 070300BaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaWayne CountyWayneSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleNortheast TarrantNE TarrantIowaPlanoSeattle East63.529412%63.529412%63.5%5428.998944%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%149,688150k1021.397059%21.397059%21.4%29121.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.326409%20.326409%20.3%13720.041576%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%309,770310k2216.788856%16.788856%16.8%22916.548703%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%43,65343.7k4110.771337%10.771337%10.8%47210.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k488.255425%8.255425%8.3%169,966170k5.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

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 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 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 VlyIowaOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitWayne CountyWayneSeymour Community School DistrictSeymour070300Tract 070300ZIP Code 52590ZIP 52590Monroe 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%184,237184k2631.198303%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%170,682171k3727.172145%27.172145%27.2%559,431559k26.758411%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%271,037271k4521.071885%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%59,72359.7k5013.053400%13.053400%13.1%57210.955882%10.955882%11.0%1497.991202%7.991202%8.0%1097.863501%7.863501%7.9%530.000000%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 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 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 CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisIowaNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitWayne CountyWayneZIP Code 52590ZIP 52590Seymour Community School DistrictSeymour070300Tract 070300Monroe 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%414,980415k2.893416%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%12,62112.6k382.675779%2.675779%2.7%55,09055.1k2.630994%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%15,06415.1k491.318660%1.318660%1.3%5,693500.958466%0.958466%1.0%420.593472%0.593472%0.6%40.294118%0.294118%0.3%40.293255%0.293255%0.3%40.000000%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).

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 Monroe Township, selected other county subdivisions in the United States, and entities that contain the Monroe Township
Female
Male
1x0x1xFM#1, CharlotteDetroitIowaWayneBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesTract 070300NE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverSeymourNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseZIP 52590San DiegoSan FranciscoMonroeEl Paso-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-1.000000x1.220410x1.220410x1.22x7.453%7.45%9.096%9.10%-1.000000x-1.000000x1.192056x1.192056x1.19x9.848%9.85%11.740%11.7%-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-1.000000x1.127915x1.127915x1.13x9.647%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-1.000000x1.101280x1.101280x1.10x16.000%16.0%17.620%17.6%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.049229x1.049229x1.05x20.893%20.9%21.922%21.9%-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%47-1.146251x-1.146251x1.15x1.000000x1.000000x21.607%21.6%18.850%18.8%-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%49-1.270517x-1.270517x1.27x1.000000x1.000000x70.213%70.2%55.263%55.3%-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

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:
Iowa
County:
Wayne
ZIP Code:
52590
Unified School District:
Seymour
Congressional District:
IA-2
State Senate District:
IA-14
State House District:
IA-27
Neighboring Townships:
Franklin, Howard, Jackson, Sherman, Walnut, York
Nearby Townships:
Clinton, Corydon, Jackson, Johns, Lincoln, Lincoln, Pleasant, South Fork, Union, Warren