Educational Attainment in the Monona Township, Clayton County, Iowa (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Clayton County and the Monona Township
Monona Township
Clayton County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma229.638411%24.861045%29.638411%29.6%50060.699467%66.102906%60.699467%60.7%1,0249.662122%9.036049%9.662122%9.7%163
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 Clayton County at large.
Scope: population of Clayton County and the Monona Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma219.216274%19.216274%+19.2%29.638%29.6%24.861%24.9%-8.174285%-8.174285%-8.2%60.699%60.7%66.103%66.1%6.928617%6.928617%+6.9%9.662%9.66%9.036%9.04%
% percentage with given level in the Monona Township
ref. percentage with given level in Clayton 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 Clayton County and the Monona Township
Monona Township
Clayton County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.293791%00.533491%0.738447%0.533491%0.5%92.371073%3.144354%2.371073%2.4%4016.301126%11.132285%16.301126%16.3%27510.432721%9.552168%10.432721%10.4%17619.324244%21.407019%19.324244%19.3%32641.375222%44.695887%41.375222%41.4%6984.623592%5.073845%4.623592%4.6%784.267931%3.072892%4.267931%4.3%720.770599%0.889312%0.770599%0.8%13
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 Clayton County at large.
Scope: population of Clayton County and the Monona 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%0.294%0.29%-27.754938%-27.754938%-27.8%0.533%0.53%0.738%0.74%-24.592696%-24.592696%-24.6%2.371%2.37%3.144%3.14%46.431087%46.431087%+46.4%16.301%16.3%11.132%11.1%9.218359%9.218359%+9.2%10.433%10.4%9.552%9.55%-9.729402%-9.729402%-9.7%19.324%19.3%21.407%21.4%-7.429464%-7.429464%-7.4%41.375%41.4%44.696%44.7%-8.873991%-8.873991%-8.9%4.624%4.62%5.074%5.07%38.889731%38.889731%+38.9%4.268%4.27%3.073%3.07%-13.348929%-13.348929%-13.3%0.771%0.77%0.889%0.89%
% percentage with given level in the Monona Township
ref. percentage with given level in Clayton 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 Clayton County and the Monona Township
More Females More Males
Clayton County
Monona Township
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-16.403710%21.420486%21.420486%21%26.961%27.0%32.737%32.7%-16.533022%-16.533022%17%2.703464%64.972%65.0%55.754%55.8%42.679466%24.902552%42.679466%43%8.066%8.07%11.509%11.5%
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 Clayton County and the Monona Township
More Females More Males
Clayton County
Monona Township
0%200%400%600%800%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None825.831202%148.831206%825.831202%826%0.110%0.11%1.023%1.02%-5.610804%-59.391246%-5.610804%6%2.431%2.43%2.302%2.30%-24.985554%23.560179%23.560179%24%14.696%14.7%18.159%18.2%-7.291947%15.728900%15.728900%16%9.724%9.72%11.253%11.3%-1.386372%-13.980171%-1.386372%1%19.448%19.4%19.182%19.2%-24.477070%-24.477070%24%10.743144%45.525%45.5%36.573%36.6%-11.823204%-11.823204%12%4.049528%4.862%4.86%4.348%4.35%117.570332%18.286444%117.570332%118%2.762%2.76%6.010%6.01%160.390026%510.767505%160.390026%160%0.442%0.44%1.151%1.15%
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 Clayton County and the Monona Township
Monona Township
Clayton County
0%5%10%15%20%25%30%B.X.Total65+45-6435-4425-3410.629067%8.519215%10.629067%10.6%4946113.445378%10.259765%13.445378%13.4%9671418.303571%14.547474%18.303571%18.3%4122430.902778%15.920976%30.902778%30.9%89288
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 Clayton County at large.
Scope: population of Clayton County and the Monona Township
0%20%40%60%80%%ref.65+45-6435-4425-3424.765802%24.765802%24.8%10.629%10.6%8.519%8.52%31.049578%31.049578%31.0%13.445%13.4%10.260%10.3%25.819588%25.819588%25.8%18.304%18.3%14.547%14.5%94.101024%94.101024%94.1%30.903%30.9%15.921%15.9%
% percentage in the Monona Township with a Bachelor's degree
ref percentage in Clayton 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 Clayton County and the Monona Township
More Females More Males
Clayton County
Monona Township
100%50%0%50%FM65+45-6435-4425-34-2.515376%16.022099%16.022099%16.0%10.000%10.0%11.602%11.6%-32.718119%53.489060%53.489060%53.5%10.615%10.6%16.292%16.3%-114.690027%-54.328860%-114.690027%114.7%25.472%25.5%11.864%11.9%-21.108402%55.295276%55.295276%55.3%24.845%24.8%38.583%38.6%
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 Clayton County and the Monona Township
Monona Township
Clayton County
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$63,438.000000$56,731.000000$63,438.000000$63.4k492.905%2.90%$41,172.000000$36,298.000000$41,172.000000$41.2k27516.301%16.3%$30,729.000000$34,233.000000$30,729.000000$30.7k50229.757%29.8%$26,417.000000$27,913.000000$26,417.000000$26.4k69841.375%41.4%$25,455.000000$25,500.000000$25,455.000000$25.5k1639.662%9.66%$31,875.000000$32,006.000000$31,875.000000$31.9k1,687100.000%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 Clayton County and the Monona Township
Female Male
Clayton County
Monona Township
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-49,583.000000$-51,910.000000$-49,583.000000$49.6k$49,583.000000$15,261.000000$51,910.000000$12,722.000000$64,844.000000$64.8k2326$-28,690.000000$-26,328.000000$-28,690.000000$28.7k$28,690.000000$38,671.000000$26,328.000000$25,471.000000$67,361.000000$67.4k133142$-26,900.000000$-27,199.000000$-26,900.000000$26.9k$26,900.000000$12,683.000000$27,199.000000$14,452.000000$39,583.000000$39.6k264238$-20,586.000000$-20,177.000000$-20,586.000000$20.6k$20,586.000000$22,093.000000$20,177.000000$17,717.000000$42,679.000000$42.7k412286$-21,250.000000$-16,111.000000$-21,250.000000$21.3k$21,250.000000$5,114.000000$16,111.000000$14,771.000000$26,364.000000$26.4k7390$-25,091.000000$-24,305.000000$-25,091.000000$25.1k$25,091.000000$20,521.000000$24,305.000000$16,493.000000$45,612.000000$45.6k905782
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 Clayton County and the Monona Township
Monona Township
Clayton County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.360595%82.775120%87.360595%87.4%23589.018692%83.916513%89.018692%89.0%38187.089716%79.637761%87.089716%87.1%39865.277778%70.472441%65.277778%65.3%47
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 Clayton County and the Monona Township
Female Male
Clayton County
Monona Township
Shaded bar tips show excess over facing bar.
20%10%0%10%20%30%40%50%MFWhite1AsianOther1-8.352403%-7.692308%-8.352403%8.4%8.352403%3.260500%7.692308%1.323816%11.612903%11.6%9073-0.000000%-0.000000%-20.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.0%00-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%51.219512%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 Clayton County and the Monona Township
Female Male
Clayton County
Monona Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1AsianOther1-17.276888%-13.836788%-3.268048%-17.276888%17.3%17.276888%4.400531%13.836788%21.677419%21.7%168151-0.000000%-50.000000%-40.000000%-50.000000%50.0%0.000000%40.000000%21.538462%0.000000%0.0%05-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Monona Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
27.2%27.8%28.4%28.9%29.5%30.1%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
59.7%60.4%61.0%61.7%62.3%63.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
9.79%9.87%9.96%10.04%10.12%10.20%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.12%0.23%0.35%0.46%0.58%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.465%0.497%0.529%0.561%0.592%0.625%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.42%3.61%3.78%3.96%4.14%4.33%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.9%9.3%10.6%11.9%13.2%14.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
11.68%12.09%12.50%12.91%13.32%13.74%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
20.6%21.5%22.4%23.3%24.2%25.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
37.87%38.11%38.35%38.59%38.82%39.07%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
4.48%4.88%5.28%5.68%6.08%6.49%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%2.3%3.0%3.7%4.3%5.0%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.71%0.90%1.08%1.27%1.45%1.64%
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Educational Attainment by County Subdivision in Iowa

There are 1,662 county subdivisions in Iowa. This section compares the Monona Township to the 50 most populous county subdivisions in Iowa and to those entities that contain or substantially overlap with the Monona Township. The least populous of the compared county subdivisions has a population of 9,112.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monona Township, selected other county subdivisions in Iowa, and entities that contain the Monona Township
0%10%20%30%Count#Storm LakeTaylor TownshipTaylorLee TownshipSioux CityCenter TownshipCtrBloomington TownshipBloomingtonUnited States of AmericaUnited StatesKane TownshipBloomfield TownshipBloomfieldWaterlooTimber Creek TownshipTimber CrkKeokukDes Moines TownshipDes MoinesMidwestClintonFort DodgeMonona TownshipMononaAmerica TownshipAmericaBurlingtonLewis TownshipLewisWest North CentralClayton CountyClaytonDavenportOskaloosaDubuqueFour 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 TownshipJefferson34.354812%34.354812%34.4%2,074123.659118%23.659118%23.7%2,779218.284948%18.284948%18.3%7,495316.196427%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%9081010.639768%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%1,602149.662122%9.662122%9.7%1639.280545%9.280545%9.3%654159.207132%9.207132%9.2%1,606169.196439%9.196439%9.2%816179.174633%9.174633%9.2%1,278,0511.28M9.036049%9.036049%9.0%1,1388.840661%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#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monona Township, selected other county subdivisions in Iowa, and entities that contain the Monona 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 TownshipAmericaMonona TownshipMononaBurlingtonKnoxville TownshipKnoxvilleBloomfield TownshipBloomfieldKane TownshipCenter TownshipCtrStorm LakeClayton CountyClaytonNewton TownshipNewtonKeokukTaylor TownshipTaylorLee TownshipMadison TownshipMadison63.758166%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%1,3713919.205691%19.205691%19.2%32419.050622%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%9274515.308877%15.308877%15.3%1,92815.223570%15.223570%15.2%1,6074615.089125%15.089125%15.1%1,0924714.864635%14.864635%14.9%1,7464812.527446%12.527446%12.5%5,1354911.524365%11.524365%11.5%84950
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monona Township, selected other county subdivisions in Iowa, and entities that contain the Monona 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 TownshipBloomingtonClayton CountyClaytonTaylor TownshipTaylorBloomfield TownshipBloomfieldKnoxville TownshipKnoxvilleKane TownshipMadison TownshipMadisonLee TownshipNewton TownshipNewtonMonona TownshipMononaAmerica TownshipAmerica14.115089%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%199421.032238%1.032238%1.0%1301.021624%1.021624%1.0%120431.021044%1.021044%1.0%213441.008093%1.008093%1.0%71450.873778%0.873778%0.9%312460.828017%0.828017%0.8%61470.727007%0.727007%0.7%298480.663130%0.663130%0.7%70490.533491%0.533491%0.5%90.255428%0.255428%0.3%1850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monona Township, selected other county subdivisions in Iowa, and entities that contain the Monona Township
Female
Male
2x1x0x1x2xFM#WaverlyIndianolaWalnutCrockerKnoxvilleGrinnellPenn TownshipMonroeKane TownshipMononaFort DodgeMadisonSpencerTimber CrkMason CityJeffersonClaytonCtrCedar RapidsTaylorIowaWaterlooSioux CityBloomfieldDecorahClintonWest North CentralMidwestOskaloosaKeokukLee TownshipUnited StatesDavenportStorm LakeCarrollWalnutFour MileDes MoinesBooneDubuqueBurlingtonIowa CityLewisBloomingtonPleasant VlyNewtonCedar FallsWashingtonMarionDes MoinesClay TownshipWebsterAmericaLk 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-1.000000x1.426795x1.426795x1.43x8.066%8.07%11.509%11.5%-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-1.000000x1.249026x1.249026x1.25x8.043%8.04%10.046%10.0%-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-1.000000x1.164071x1.164071x1.16x9.372%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-1.000000x1.096081x1.096081x1.10x8.447%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-1.000000x1.040208x1.040208x1.04x1.531%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%40-1.147614x-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%45-1.305779x-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

Over-Education Sex Ratio by County Subdivision#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monona Township, selected other county subdivisions in Iowa, and entities that contain the Monona Township
Female
Male
0x5x10xFM#AmericaFort DodgeBurlingtonMononaLewisClintonTimber CrkTaylorDes MoinesBloomingtonGrinnellStorm LakeIndianolaBooneClaytonWebsterFranklinSpencerSioux CityMadisonNewtonWalnutOskaloosaWalnutMason CityMarionPleasant VlyKeokukKane TownshipDecorahBloomfieldWaterlooIowaMidwestClay TownshipWest North CentralDes MoinesMonroeUnited StatesPenn TownshipWaverlyIowa CityWashingtonDubuqueCtrCedar RapidsCedar FallsDavenportLk PrairieFairfieldLee TownshipCarrollJeffersonCrockerKnoxvilleFour Mile-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.534%0.53%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.258%0.26%3.234%3.23%2-1.000000x-1.000000x9.563497x9.563497x9.56x0.296%0.30%2.828%2.83%3-1.000000x-1.000000x9.258312x9.258312x9.26x0.110%0.11%1.023%1.02%-1.000000x-1.000000x4.823738x4.823738x4.82x0.850%0.85%4.100%4.10%4-1.000000x-1.000000x4.108012x4.108012x4.11x0.650%0.65%2.671%2.67%5-1.000000x-1.000000x3.650057x3.650057x3.65x1.260%1.26%4.599%4.60%6-1.000000x-1.000000x2.782408x2.782408x2.78x0.536%0.54%1.492%1.49%7-1.000000x-1.000000x2.616355x2.616355x2.62x0.840%0.84%2.197%2.20%8-1.000000x-1.000000x2.597604x2.597604x2.60x0.704%0.70%1.830%1.83%9-1.000000x-1.000000x2.367724x2.367724x2.37x4.394%4.39%10.405%10.4%10-1.000000x-1.000000x2.351158x2.351158x2.35x1.702%1.70%4.001%4.00%11-1.000000x-1.000000x2.346752x2.346752x2.35x2.665%2.66%6.253%6.25%12-1.000000x-1.000000x2.318950x2.318950x2.32x4.478%4.48%10.385%10.4%13-1.000000x-1.000000x2.290378x2.290378x2.29x0.630%0.63%1.442%1.44%-1.000000x-1.000000x2.249430x2.249430x2.25x2.870%2.87%6.456%6.46%14-1.000000x-1.000000x2.234393x2.234393x2.23x8.142%8.14%18.192%18.2%15-1.000000x-1.000000x2.214049x2.214049x2.21x0.945%0.94%2.091%2.09%16-1.000000x-1.000000x2.074278x2.074278x2.07x1.543%1.54%3.200%3.20%17-1.000000x-1.000000x2.065983x2.065983x2.07x0.534%0.53%1.103%1.10%18-1.000000x-1.000000x2.020024x2.020024x2.02x0.448%0.45%0.905%0.90%19-1.000000x-1.000000x1.983135x1.983135x1.98x3.184%3.18%6.315%6.32%20-1.000000x-1.000000x1.955040x1.955040x1.96x1.519%1.52%2.970%2.97%21-1.000000x-1.000000x1.939091x1.939091x1.94x3.765%3.76%7.300%7.30%22-1.000000x-1.000000x1.842379x1.842379x1.84x1.361%1.36%2.507%2.51%23-1.000000x-1.000000x1.837904x1.837904x1.84x1.572%1.57%2.888%2.89%24-1.000000x-1.000000x1.799036x1.799036x1.80x4.031%4.03%7.251%7.25%25-1.000000x-1.000000x1.794393x1.794393x1.79x0.916%0.92%1.644%1.64%26-1.000000x-1.000000x1.752742x1.752742x1.75x0.642%0.64%1.125%1.12%27-1.000000x-1.000000x1.740876x1.740876x1.74x5.127%5.13%8.926%8.93%28-1.000000x-1.000000x1.736126x1.736126x1.74x0.757%0.76%1.314%1.31%29-1.000000x-1.000000x1.716319x1.716319x1.72x1.488%1.49%2.554%2.55%30-1.000000x-1.000000x1.647686x1.647686x1.65x2.033%2.03%3.349%3.35%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.573124x1.573124x1.57x2.357%2.36%3.708%3.71%31-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.558261x1.558261x1.56x3.201%3.20%4.989%4.99%32-1.000000x-1.000000x1.537000x1.537000x1.54x2.039%2.04%3.133%3.13%33-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.525582x1.525582x1.53x10.140%10.1%15.469%15.5%34-1.000000x-1.000000x1.511258x1.511258x1.51x2.418%2.42%3.654%3.65%35-1.000000x-1.000000x1.498643x1.498643x1.50x11.280%11.3%16.905%16.9%36-1.000000x-1.000000x1.456682x1.456682x1.46x8.590%8.59%12.513%12.5%37-1.000000x-1.000000x1.434870x1.434870x1.43x2.273%2.27%3.261%3.26%38-1.000000x-1.000000x1.361707x1.361707x1.36x1.502%1.50%2.046%2.05%39-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%40-1.000000x-1.000000x1.302438x1.302438x1.30x5.640%5.64%7.346%7.35%41-1.000000x-1.000000x1.295510x1.295510x1.30x1.841%1.84%2.386%2.39%42-1.000000x-1.000000x1.253677x1.253677x1.25x3.681%3.68%4.615%4.61%43-1.000000x-1.000000x1.220504x1.220504x1.22x4.562%4.56%5.568%5.57%44-1.000000x-1.000000x1.067448x1.067448x1.07x0.704%0.70%0.752%0.75%45-1.150911x-1.150911x1.15x1.000000x1.000000x4.273%4.27%3.713%3.71%46-1.205077x-1.205077x1.21x1.000000x1.000000x2.761%2.76%2.291%2.29%47-1.268545x-1.268545x1.27x1.000000x1.000000x4.690%4.69%3.697%3.70%48-1.351671x-1.351671x1.35x1.000000x1.000000x1.153%1.15%0.853%0.85%49-1.402982x-1.402982x1.40x1.000000x1.000000x1.555%1.55%1.108%1.11%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 Monona Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Monona Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monona Township, selected other county subdivisions in the Midwest, and entities that contain the Monona 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 FallsMonona TownshipMononaWest North CentralClayton CountyClaytonCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineIowaSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.662122%9.662122%9.7%1639.174633%9.174633%9.2%1,278,0511.28M9.036049%9.036049%9.0%1,1388.623103%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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monona Township, selected other county subdivisions in the Midwest, and entities that contain the Monona 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 TownshipNMonona TownshipMononaThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipClayton CountyClaytonDetroit72.810169%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%20,02920.0k4019.205691%19.205691%19.2%32418.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4915.308877%15.308877%15.3%1,92813.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monona Township, selected other county subdivisions in the Midwest, and entities that contain the Monona 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 TownshipWayneWarrenClayton CountyClaytonBlue TownshipAurora TownshipAuroraThornton TownshipThorntonMonona TownshipMonona17.877867%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%963471.032238%1.032238%1.0%1300.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.533491%0.533491%0.5%9
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monona Township, selected other county subdivisions in the Midwest, and entities that contain the Monona Township
Female
Male
1x0x1xFM#MononaClaytonCedar RapidsLincolnDetroitOmahaToledoIowaThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.426795x1.426795x1.43x8.066%8.07%11.509%11.5%-1.000000x-1.000000x1.249026x1.249026x1.25x8.043%8.04%10.046%10.0%-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-1.000000x1.189752x1.189752x1.19x20.748%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-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monona Township, selected other county subdivisions in the Midwest, and entities that contain the Monona Township
Female
Male
0x2x4x6x8xFM#MononaClaytonRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaIowaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x9.258312x9.258312x9.26x0.110%0.11%1.023%1.02%-1.000000x-1.000000x2.290378x2.290378x2.29x0.630%0.63%1.442%1.44%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.647686x1.647686x1.65x2.033%2.03%3.349%3.35%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monona Township, selected other county subdivisions in the United States, and entities that contain the Monona 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 HarrisWashingtonMonona TownshipMononaAtlantaWest North CentralClayton CountyClaytonSeattleNortheast TarrantNE TarrantIowaPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.662122%9.662122%9.7%1639.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M9.036049%9.036049%9.0%1,1388.833573%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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monona Township, selected other county subdivisions in the United States, and entities that contain the Monona 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 PasoMonona TownshipMononaBronxSan BernardinoClayton CountyClaytonSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%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%72,12072.1k4619.205691%19.205691%19.2%32419.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4815.308877%15.308877%15.3%1,92814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monona Township, selected other county subdivisions in the United States, and entities that contain the Monona 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 DallasBronxDetroitClayton CountyClaytonMonona TownshipMonona12.461852%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%5,693501.032238%1.032238%1.0%1300.533491%0.533491%0.5%9
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monona Township, selected other county subdivisions in the United States, and entities that contain the Monona Township
Female
Male
1x0x1xFM#Monona1, CharlotteClaytonDetroitIowaBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.426795x1.426795x1.43x8.066%8.07%11.509%11.5%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.249026x1.249026x1.25x8.043%8.04%10.046%10.0%-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-1.000000x1.179669x1.179669x1.18x15.289%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-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monona Township, selected other county subdivisions in the United States, and entities that contain the Monona Township
Female
Male
0x2x4x6x8xFM#MononaClaytonEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixIowaTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x9.258312x9.258312x9.26x0.110%0.11%1.023%1.02%-1.000000x-1.000000x2.290378x2.290378x2.29x0.630%0.63%1.442%1.44%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.647686x1.647686x1.65x2.033%2.03%3.349%3.35%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

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More Maps to Explore

State:
Iowa
County:
Clayton
Cities:
Luana, Monona
ZIP Codes:
52156, 52159
Unified School Districts:
MFL MarMac, Postville
Congressional District:
IA-1
State Senate District:
IA-28
State House District:
IA-56
Neighboring Townships:
Farmersburg, Franklin, Giard, Grand Meadow, Linton, Marion, Post, Wagner
Nearby Townships:
Boardman, Clermont, Fairview, Jefferson, Ludlow, Mendon, Paint Creek, Pleasant Valley, Read