Educational Attainment in the Monroe Precinct 35, Monroe County, Illinois (Precinct)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Monroe County and the Monroe Precinct 35
Monroe Precinct 35
Monroe County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma255.412371%38.238791%55.412371%55.4%43041.752577%57.154382%41.752577%41.8%3242.835052%4.606827%2.835052%2.8%22
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 Monroe County at large.
Scope: population of Monroe County and the Monroe Precinct 35
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma244.911411%44.911411%+44.9%55.412%55.4%38.239%38.2%-26.947723%-26.947723%-26.9%41.753%41.8%57.154%57.2%-38.459784%-38.459784%-38.5%2.835%2.84%4.607%4.61%
% percentage with given level in the Monroe Precinct 35
ref. percentage with given level in Monroe 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 Monroe County and the Monroe Precinct 35
Monroe Precinct 35
Monroe County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.785496%02.190722%1.256793%2.190722%2.2%1714.819588%8.054518%14.819588%14.8%11533.118557%19.684103%33.118557%33.1%2575.283505%8.457880%5.283505%5.3%4120.618557%24.881114%20.618557%20.6%16021.134021%32.273268%21.134021%21.1%1640.000000%0.000000%0.0%3.231148%02.835052%1.188859%2.835052%2.8%220.000000%0.000000%0.0%0.186821%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 Monroe County at large.
Scope: population of Monroe County and the Monroe Precinct 35
-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%0.785%0.79%74.310393%74.310393%+74.3%2.191%2.19%1.257%1.26%83.991000%83.991000%+84.0%14.820%14.8%8.055%8.05%68.250269%68.250269%+68.3%33.119%33.1%19.684%19.7%-37.531570%-37.531570%-37.5%5.284%5.28%8.458%8.46%-17.131698%-17.131698%-17.1%20.619%20.6%24.881%24.9%-34.515399%-34.515399%-34.5%21.134%21.1%32.273%32.3%-100.000000%-100.000000%-100.0%0.000%0%3.231%3.23%138.468336%138.468336%+138.5%2.835%2.84%1.189%1.19%-100.000000%-100.000000%-100.0%0.000%0%0.187%0.19%
% percentage with given level in the Monroe Precinct 35
ref. percentage with given level in Monroe 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 Monroe County and the Monroe Precinct 35
More Females More Males
Monroe County
Monroe Precinct 35
1,000%500%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma24.432737%1.204950%4.432737%4%54.220%54.2%56.623%56.6%-0.375398%8.027132%8.027132%8%40.153%40.2%43.377%43.4%-1,000.000000%-5.445997%-1,000.000000%> 1000%5.627%5.63%0.000%0%
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 Monroe County and the Monroe Precinct 35
More Females More Males
Monroe County
Monroe Precinct 35
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Less than H.S.31,000.000000%160.690368%1,000.000000%> 1000%0.000%0%4.416%4.42%-84.622762%-13.267202%-84.622762%0k%19.182%19.2%10.390%10.4%-19.445407%31.481911%31.481911%0k%28.645%28.6%37.662%37.7%-53.852302%-53.852302%0k%54.139032%6.394%6.39%4.156%4.16%-20.346689%-7.777248%-20.346689%0k%22.506%22.5%18.701%18.7%39.826840%5.226943%39.826840%0k%17.647%17.6%24.675%24.7%-1,000.000000%-36.188387%-1,000.000000%> 1000%5.627%5.63%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Monroe County and the Monroe Precinct 35
Monroe Precinct 35
Monroe County
0%10%20%30%40%50%B.X.Total65+45-6435-4425-3416.528926%7.280474%16.528926%16.5%2012133.898305%18.944310%33.898305%33.9%14041355.384615%29.087902%55.384615%55.4%7213022.321429%29.357798%22.321429%22.3%25112
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 Monroe County at large.
Scope: population of Monroe County and the Monroe Precinct 35
0%50%100%%ref.65+45-6435-4425-34127.030892%127.030892%127.0%16.529%16.5%7.280%7.28%78.936605%78.936605%78.9%33.898%33.9%18.944%18.9%90.404299%90.404299%90.4%55.385%55.4%29.088%29.1%-23.967634%-23.967634%24.0%22.321%22.3%29.358%29.4%
% percentage in the Monroe Precinct 35 with a Bachelor's degree
ref percentage in Monroe 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 Monroe County and the Monroe Precinct 35
More Females More Males
Monroe County
Monroe Precinct 35
1,000%500%0%FM65+45-6435-4425-34-1,000.000000%-19.066720%-1,000.000000%> 1000%24.096%24.1%0.000%0%-26.637719%130.938834%130.938834%130.9%19.895%19.9%45.946%45.9%-4.479578%-1.299650%-4.479578%4.5%56.522%56.5%54.098%54.1%-100.000000%-48.456604%-100.000000%100.0%31.250%31.3%15.625%15.6%
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 Monroe County and the Monroe Precinct 35
Monroe Precinct 35
Monroe County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$86,630.000000$72,695.000000$86,630.000000$86.6k13217.010%17.0%$91,250.000000$57,312.000000$91,250.000000$91.3k25733.119%33.1%$55,417.000000$42,125.000000$55,417.000000$55.4k20125.902%25.9%$36,719.000000$34,301.000000$36,719.000000$36.7k16421.134%21.1%$70,774.000000$46,124.000000$70,774.000000$70.8k776100.000%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 Monroe County and the Monroe Precinct 35
Female Male
Monroe County
Monroe Precinct 35
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Some CollegeH.S. Diploma2Total$-85,144.000000$-56,078.000000$-85,144.000000$85.1k$85,144.000000$16,106.000000$56,078.000000$51,714.000000$101,250.000000$101.3k7557$-32,468.000000$-30,607.000000$-32,468.000000$32.5k$32,468.000000$24,811.000000$30,607.000000$24,986.000000$57,279.000000$57.3k11388$-15,855.000000$-29,132.000000$-15,855.000000$15.9k$15,855.000000$23,714.000000$29,132.000000$12,040.000000$39,569.000000$39.6k6995$-31,603.000000$-35,690.000000$-31,603.000000$31.6k$31,603.000000$55,460.000000$35,690.000000$18,928.000000$87,063.000000$87.1k391385
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 Monroe County and the Monroe Precinct 35
Monroe Precinct 35
Monroe County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma380.216802%88.427394%80.216802%80.2%29692.810458%80.925035%92.810458%92.8%14287.969925%74.332935%87.969925%88.0%1170.000000%0.000000%0.0%48.031496%0
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Monroe County and the Monroe Precinct 35
Female Male
Monroe County
Monroe Precinct 35
Shaded bar tips show excess over facing bar.
5%4%3%2%1%0%1%2%3%MFWhite1-0.000000%-5.626598%-3.939066%-0.863242%-5.626598%5.6%0.000000%3.939066%0.000000%0.0%022
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 Monroe County and the Monroe Precinct 35
Female Male
Monroe County
Monroe Precinct 35
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1-47.826087%-28.285560%-2.420363%-47.826087%47.8%47.826087%4.641446%28.285560%52.467532%52.5%202187
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the St. Louis Area

There are 238 county subdivisions in the St. Louis Area. This section compares the Monroe Precinct 35 to the 50 most populous county subdivisions in the St. Louis Area and to those entities that contain or substantially overlap with the Monroe Precinct 35. The least populous of the compared county subdivisions has a population of 24,170.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the St. Louis Area, and entities that contain the Monroe Precinct 35
0%5%10%15%Count#East St. Louis TownshipE St. LouisCentreville TownshipCentrevilleNormandy TownshipNormandySt. LouisNorwood TownshipNorwoodAirport TownshipAirportLemay TownshipLemayMidland TownshipMidlandSt. Ferdinand TownshipSt. FerdinandUnited States of AmericaUnited StatesRock TownshipIllinoisGranite City TownshipGranite CityEast North CentralUniversity TownshipUnivWood River TownshipWood RivFlorissant TownshipFlorissantMidwestAlton TownshipAltonFerguson TownshipFergusonSt. Louis Metro AreaSt. LouisImperial TownshipImperialConcord TownshipConcordCaseyville TownshipCaseyvilleNorthwest TownshipNWSpanish Lake TownshipSpanish LkO'Fallon TownshipO'FallonWentzville TownshipWentzvilleBelleville TownshipBellevilleGravois TownshipGravoisLewis and Clark TownshipLewis and ClarkWeldon Spring TownshipWeldon SpgTesson Ferry TownshipTesson FerryCollinsville TownshipCollinsvilleFrontier TownshipFrontierSt. Clair TownshipSt. Clair600101Tract 600101Lake St. Louis TownshipLk St. LouisQueeny TownshipQueenyMonroe CountyMonroeColumbiaOakville TownshipOakvilleBoone TownshipBooneZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4Bonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsMeramec TownshipMeramecDardenne TownshipDardenneLafayette TownshipLafayetteCreve Coeur TownshipCreve CoeurWildhorse TownshipWildhorseHadley TownshipHadleyClayton TownshipClaytonEdwardsville TownshipEdwardsvilleO'Fallon TownshipO'FallonMonroe Precinct 3535Missouri River TownshipMissouri RivCottleville TownshipCottlevilleJefferson TownshipJeffersonChesterfield TownshipChesterfield18.677369%18.677369%18.7%3,118116.955795%16.955795%17.0%2,639215.494437%15.494437%15.5%3,245315.466266%15.466266%15.5%33,80433.8k414.895461%14.895461%14.9%2,921514.777735%14.777735%14.8%3,454614.236246%14.236246%14.2%3,659714.013093%14.013093%14.0%3,275813.139625%13.139625%13.1%2,555913.020590%13.020590%13.0%27,818,38027.8M11.722399%11.722399%11.7%2,5101011.703119%11.703119%11.7%1,008,6081.01M11.606623%11.606623%11.6%2,1941110.719464%10.719464%10.7%3,363,7843.36M10.592623%10.592623%10.6%2,3291210.500522%10.500522%10.5%2,3141310.324033%10.324033%10.3%2,4311410.244520%10.244520%10.2%4,641,8354.64M9.903058%9.903058%9.9%1,849159.870005%9.870005%9.9%2,255169.047519%9.047519%9.0%173,200173k8.945606%8.945606%8.9%1,416178.571846%8.571846%8.6%2,348188.461853%8.461853%8.5%1,860198.206995%8.206995%8.2%1,781207.944951%7.944951%7.9%1,882217.329682%7.329682%7.3%1,432227.272790%7.272790%7.3%2,099237.172909%7.172909%7.2%2,097246.620459%6.620459%6.6%1,662256.354134%6.354134%6.4%1,617266.264086%6.264086%6.3%1,084276.080066%6.080066%6.1%1,780285.742836%5.742836%5.7%1,477295.489044%5.489044%5.5%972305.481446%5.481446%5.5%1,356315.165099%5.165099%5.2%2805.138009%5.138009%5.1%981324.988602%4.988602%5.0%1,313334.606827%4.606827%4.6%1,0854.529761%4.529761%4.5%3284.457702%4.457702%4.5%1,203344.187380%4.187380%4.2%1,314354.084224%4.084224%4.1%3863.932342%3.932342%3.9%3653.898356%3.898356%3.9%1,034363.830437%3.830437%3.8%1,003373.829155%3.829155%3.8%979383.716275%3.716275%3.7%646393.532710%3.532710%3.5%857403.513806%3.513806%3.5%943413.420021%3.420021%3.4%864423.328937%3.328937%3.3%732433.226913%3.226913%3.2%847443.024616%3.024616%3.0%693452.930805%2.930805%2.9%507462.835052%2.835052%2.8%222.130671%2.130671%2.1%542471.871267%1.871267%1.9%307481.842560%1.842560%1.8%459491.802981%1.802981%1.8%49650
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the St. Louis Area, and entities that contain the Monroe Precinct 35
0%20%40%60%Count#Missouri River TownshipMissouri RivClayton TownshipClaytonChesterfield TownshipChesterfieldJefferson TownshipJeffersonHadley TownshipHadleyCreve Coeur TownshipCreve CoeurLafayette TownshipLafayetteBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsWildhorse TownshipWildhorseQueeny TownshipQueenyMonroe Precinct 3535Meramec TownshipMeramecEdwardsville TownshipEdwardsvilleCottleville TownshipCottlevilleO'Fallon TownshipO'FallonBoone TownshipBooneGravois TownshipGravoisFrontier TownshipFrontierTesson Ferry TownshipTesson FerryColumbiaWeldon Spring TownshipWeldon SpgDardenne TownshipDardenneOakville TownshipOakvilleZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4Lake St. Louis TownshipLk St. Louis600101Tract 600101University TownshipUnivSt. Clair TownshipSt. ClairConcord TownshipConcordSt. LouisIllinoisSt. Louis Metro AreaSt. LouisCollinsville TownshipCollinsvilleCaseyville TownshipCaseyvilleUnited States of AmericaUnited StatesMonroe CountyMonroeMidwestWentzville TownshipWentzvilleEast North CentralNorthwest TownshipNWSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkO'Fallon TownshipO'FallonFlorissant TownshipFlorissantRock TownshipImperial TownshipImperialBelleville TownshipBellevilleLemay TownshipLemayFerguson TownshipFergusonAirport TownshipAirportNormandy TownshipNormandyAlton TownshipAltonMidland TownshipMidlandWood River TownshipWood RivSt. Ferdinand TownshipSt. FerdinandGranite City TownshipGranite CityNorwood TownshipNorwoodCentreville TownshipCentrevilleEast St. Louis TownshipE St. Louis71.743062%71.743062%71.7%18,25018.3k170.432033%70.432033%70.4%18,48718.5k268.124318%68.124318%68.1%18,74118.7k367.676930%67.676930%67.7%16,85916.9k466.683342%66.683342%66.7%14,66314.7k561.702128%61.702128%61.7%16,55916.6k659.413001%59.413001%59.4%14,41314.4k758.403710%58.403710%58.4%15,49115.5k857.956846%57.956846%58.0%15,17615.2k952.990540%52.990540%53.0%13,38713.4k1052.545593%52.545593%52.5%13,83013.8k1150.128866%50.128866%50.1%38950.041069%50.041069%50.0%12,79412.8k1248.996159%48.996159%49.0%11,22611.2k1348.445691%48.445691%48.4%7,9481445.927510%45.927510%45.9%7,9451540.924156%40.924156%40.9%12,84212.8k1640.714627%40.714627%40.7%10,22110.2k1740.219110%40.219110%40.2%7,1221840.193332%40.193332%40.2%11,76711.8k1940.174009%40.174009%40.2%2,90939.560821%39.560821%39.6%6,8462039.389058%39.389058%39.4%6,8472138.348094%38.348094%38.3%10,34910.3k2237.212993%37.212993%37.2%3,51737.104072%37.104072%37.1%3,44436.495051%36.495051%36.5%6,9682335.731415%35.731415%35.7%1,93734.593169%34.593169%34.6%7,6062433.490986%33.490986%33.5%8,2852533.458674%33.458674%33.5%9,1652633.007421%33.007421%33.0%72,14372.1k2732.893660%32.893660%32.9%2,834,8692.83M32.608574%32.608574%32.6%624,238624k31.202613%31.202613%31.2%8,0252830.426277%30.426277%30.4%6,6882930.315023%30.315023%30.3%64,767,78764.8M29.780910%29.780910%29.8%7,01428.952816%28.952816%29.0%13,118,64213.1M28.661516%28.661516%28.7%8,2723028.462853%28.462853%28.5%8,931,6868.93M27.883508%27.883508%27.9%6,0513127.803107%27.803107%27.8%6,5863227.746778%27.746778%27.7%7,0613327.588678%27.588678%27.6%5,3903426.084002%26.084002%26.1%6,1423523.617598%23.617598%23.6%5,0573623.387453%23.387453%23.4%3,7023723.085343%23.085343%23.1%6,7493821.247374%21.247374%21.2%5,4613920.860507%20.860507%20.9%4,7664018.927823%18.927823%18.9%4,4244118.583775%18.583775%18.6%3,8924217.535215%17.535215%17.5%3,2744317.401908%17.401908%17.4%4,0674416.190952%16.190952%16.2%3,5684514.080741%14.080741%14.1%2,7384613.442311%13.442311%13.4%2,5414712.335543%12.335543%12.3%2,419489.894629%9.894629%9.9%1,540499.847850%9.847850%9.8%1,64450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the St. Louis Area, and entities that contain the Monroe Precinct 35
0%5%10%15%Count#Clayton TownshipClaytonHadley TownshipHadleyMissouri River TownshipMissouri RivJefferson TownshipJeffersonCreve Coeur TownshipCreve CoeurChesterfield TownshipChesterfieldUniversity TownshipUnivBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsLafayette TownshipLafayetteEdwardsville TownshipEdwardsvilleQueeny TownshipQueenySt. LouisWildhorse TownshipWildhorseGravois TownshipGravoisCottleville TownshipCottlevilleO'Fallon TownshipO'FallonMeramec TownshipMeramecTesson Ferry TownshipTesson FerryIllinoisSt. Louis Metro AreaSt. LouisUnited States of AmericaUnited StatesZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4ColumbiaMidwestEast North CentralSt. Clair TownshipSt. ClairCollinsville TownshipCollinsvilleConcord TownshipConcordCaseyville TownshipCaseyvilleDardenne TownshipDardenneOakville TownshipOakvilleMonroe Precinct 3535Boone TownshipBooneLake St. Louis TownshipLk St. LouisWeldon Spring TownshipWeldon SpgMonroe CountyMonroe600101Tract 600101Spanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkRock TownshipFrontier TownshipFrontierNorthwest TownshipNWWentzville TownshipWentzvilleFerguson TownshipFergusonAlton TownshipAltonBelleville TownshipBellevilleO'Fallon TownshipO'FallonFlorissant TownshipFlorissantNormandy TownshipNormandyGranite City TownshipGranite CityAirport TownshipAirportMidland TownshipMidlandWood River TownshipWood RivSt. Ferdinand TownshipSt. FerdinandLemay TownshipLemayNorwood TownshipNorwoodImperial TownshipImperialCentreville TownshipCentrevilleEast St. Louis TownshipE St. Louis15.361170%15.361170%15.4%4,032114.975670%14.975670%15.0%3,293214.647378%14.647378%14.6%3,726310.621814%10.621814%10.6%2,646410.451988%10.451988%10.5%2,80559.712832%9.712832%9.7%2,67267.995634%7.995634%8.0%1,75877.329211%7.329211%7.3%1,94487.103303%7.103303%7.1%1,86096.694423%6.694423%6.7%1,624105.665154%5.665154%5.7%1,298115.334347%5.334347%5.3%1,404124.880448%4.880448%4.9%10,66710.7k134.298777%4.298777%4.3%1,086144.174634%4.174634%4.2%1,048153.852249%3.852249%3.9%632163.751662%3.751662%3.8%649173.739195%3.739195%3.7%956183.415767%3.415767%3.4%1,000193.366505%3.366505%3.4%290,135290k3.340948%3.340948%3.3%63,95764.0k3.336158%3.336158%3.3%7,127,6737.13M3.216591%3.216591%3.2%3043.070459%3.070459%3.1%2853.065875%3.065875%3.1%2222.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.785189%2.785189%2.8%689202.496209%2.496209%2.5%642212.288989%2.288989%2.3%627222.265593%2.265593%2.3%498232.255077%2.255077%2.3%392242.204765%2.204765%2.2%595252.190722%2.190722%2.2%172.160612%2.160612%2.2%678262.121196%2.121196%2.1%405272.057209%2.057209%2.1%356282.042289%2.042289%2.0%4812.010699%2.010699%2.0%1091.802600%1.802600%1.8%427291.760453%1.760453%1.8%448301.732673%1.732673%1.7%371311.632031%1.632031%1.6%289321.525275%1.525275%1.5%331331.472575%1.472575%1.5%425341.444391%1.444391%1.4%330351.413957%1.413957%1.4%264361.316915%1.316915%1.3%385371.310334%1.310334%1.3%256381.227333%1.227333%1.2%289391.098219%1.098219%1.1%230401.084484%1.084484%1.1%205411.052496%1.052496%1.1%246420.919944%0.919944%0.9%215430.798657%0.798657%0.8%176440.791977%0.791977%0.8%154450.700335%0.700335%0.7%180460.662927%0.662927%0.7%130470.657022%0.657022%0.7%104480.456181%0.456181%0.5%71490.341440%0.341440%0.3%5750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the St. Louis Area, and entities that contain the Monroe Precinct 35
Female
Male
10x5x0xFM#ImperialTract 600101ClaytonBellevilleColumbiaLafayetteColumbia 4NorwoodFlorissantZIP 62236E St. LouisJeffersonGravoisWood RivWentzvilleFergusonMidlandLewis and ClarkO'FallonDardenneCollinsvilleMidwestEast North CentralIllinoisUnited StatesRock TownshipAirportNormandySt. LouisWeldon SpgSt. LouisUnivCaseyvilleBonhommeBooneCentrevilleAltonOakvilleMonroeNWSt. FerdinandEdwardsvilleCreve CoeurMeramecConcordQueenyLemayHadleyGranite CityMissouri RivMaryland HtsTesson FerrySpanish LkWildhorseO'FallonLk St. LouisSt. ClairFrontierCottlevilleChesterfield35-1.000000x-1.000000x2.050912x2.050912x2.05x5.838%5.84%11.973%12.0%1-1.000000x-1.000000x1.926953x1.926953x1.93x3.639%3.64%7.012%7.01%-1.000000x-1.000000x1.661979x1.661979x1.66x2.451%2.45%4.074%4.07%2-1.000000x-1.000000x1.610400x1.610400x1.61x5.616%5.62%9.044%9.04%3-1.000000x-1.000000x1.495360x1.495360x1.50x3.697%3.70%5.529%5.53%-1.000000x-1.000000x1.413151x1.413151x1.41x2.955%2.96%4.176%4.18%4-1.000000x-1.000000x1.405313x1.405313x1.41x3.308%3.31%4.648%4.65%-1.000000x-1.000000x1.394530x1.394530x1.39x12.860%12.9%17.933%17.9%5-1.000000x-1.000000x1.355904x1.355904x1.36x8.918%8.92%12.092%12.1%6-1.000000x-1.000000x1.349169x1.349169x1.35x3.512%3.51%4.738%4.74%-1.000000x-1.000000x1.300492x1.300492x1.30x16.580%16.6%21.563%21.6%7-1.000000x-1.000000x1.293811x1.293811x1.29x1.626%1.63%2.103%2.10%8-1.000000x-1.000000x1.249430x1.249430x1.25x5.921%5.92%7.397%7.40%9-1.000000x-1.000000x1.246132x1.246132x1.25x9.393%9.39%11.705%11.7%10-1.000000x-1.000000x1.225539x1.225539x1.23x6.552%6.55%8.029%8.03%11-1.000000x-1.000000x1.206282x1.206282x1.21x9.055%9.05%10.923%10.9%12-1.000000x-1.000000x1.200898x1.200898x1.20x12.806%12.8%15.379%15.4%13-1.000000x-1.000000x1.197697x1.197697x1.20x5.834%5.83%6.987%6.99%14-1.000000x-1.000000x1.185236x1.185236x1.19x6.756%6.76%8.008%8.01%15-1.000000x-1.000000x1.177158x1.177158x1.18x3.426%3.43%4.033%4.03%16-1.000000x-1.000000x1.136543x1.136543x1.14x5.384%5.38%6.119%6.12%17-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107062x1.107062x1.11x11.143%11.1%12.336%12.3%18-1.000000x-1.000000x1.070831x1.070831x1.07x14.307%14.3%15.321%15.3%19-1.000000x-1.000000x1.059691x1.059691x1.06x15.107%15.1%16.009%16.0%20-1.000000x-1.000000x1.044797x1.044797x1.04x8.860%8.86%9.257%9.26%-1.000000x-1.000000x1.033791x1.033791x1.03x6.163%6.16%6.371%6.37%21-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%22-1.000000x-1.000000x1.015157x1.015157x1.02x10.525%10.5%10.684%10.7%23-1.000000x-1.000000x1.011839x1.011839x1.01x8.414%8.41%8.513%8.51%24-1.024143x-1.024143x1.02x1.000000x1.000000x3.941%3.94%3.848%3.85%25-1.033385x-1.033385x1.03x1.000000x1.000000x4.254%4.25%4.116%4.12%26-1.039164x-1.039164x1.04x1.000000x1.000000x17.244%17.2%16.594%16.6%27-1.041537x-1.041537x1.04x1.000000x1.000000x10.088%10.1%9.686%9.69%28-1.042683x-1.042683x1.04x1.000000x1.000000x4.547%4.55%4.361%4.36%29-1.054460x-1.054460x1.05x1.000000x1.000000x4.724%4.72%4.480%4.48%-1.055391x-1.055391x1.06x1.000000x1.000000x8.409%8.41%7.968%7.97%30-1.067453x-1.067453x1.07x1.000000x1.000000x13.492%13.5%12.640%12.6%31-1.069254x-1.069254x1.07x1.000000x1.000000x3.121%3.12%2.919%2.92%32-1.129885x-1.129885x1.13x1.000000x1.000000x3.705%3.71%3.280%3.28%33-1.132648x-1.132648x1.13x1.000000x1.000000x4.061%4.06%3.585%3.59%34-1.149013x-1.149013x1.15x1.000000x1.000000x9.114%9.11%7.932%7.93%35-1.160196x-1.160196x1.16x1.000000x1.000000x5.326%5.33%4.591%4.59%36-1.168832x-1.168832x1.17x1.000000x1.000000x15.310%15.3%13.098%13.1%37-1.176084x-1.176084x1.18x1.000000x1.000000x3.588%3.59%3.051%3.05%38-1.229283x-1.229283x1.23x1.000000x1.000000x12.718%12.7%10.346%10.3%39-1.248040x-1.248040x1.25x1.000000x1.000000x2.350%2.35%1.883%1.88%40-1.327312x-1.327312x1.33x1.000000x1.000000x4.358%4.36%3.283%3.28%41-1.366415x-1.366415x1.37x1.000000x1.000000x6.917%6.92%5.062%5.06%42-1.379042x-1.379042x1.38x1.000000x1.000000x8.979%8.98%6.511%6.51%43-1.482681x-1.482681x1.48x1.000000x1.000000x4.031%4.03%2.719%2.72%44-1.514693x-1.514693x1.51x1.000000x1.000000x3.484%3.48%2.300%2.30%45-1.560365x-1.560365x1.56x1.000000x1.000000x6.247%6.25%4.004%4.00%46-1.634109x-1.634109x1.63x1.000000x1.000000x6.732%6.73%4.120%4.12%47-1.985151x-1.985151x1.99x1.000000x1.000000x7.097%7.10%3.575%3.57%48-3.480494x-3.480494x3.48x1.000000x1.000000x2.884%2.88%0.829%0.83%49-3.568132x-3.568132x3.57x1.000000x1.000000x2.737%2.74%0.767%0.77%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.627%5.63%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the St. Louis Area, and entities that contain the Monroe Precinct 35
Female
Male
0x5x10xFM#35ImperialTract 600101AirportColumbiaMidlandZIP 62236Missouri RivLafayetteColumbia 4OakvilleChesterfieldGravoisWood RivClaytonUnivCottlevilleMeramecMonroeConcordCreve CoeurBonhommeFrontierNormandyTesson FerryWeldon SpgSt. FerdinandEast North CentralNWMidwestSt. LouisGranite CityUnited StatesHadleyCaseyvilleLk St. LouisIllinoisEdwardsvilleJeffersonRock TownshipQueenyO'FallonSt. ClairMaryland HtsSt. LouisBellevilleSpanish LkDardenneWildhorseWentzvilleAltonLemayCollinsvilleFlorissantBooneCentrevilleO'FallonLewis and ClarkE St. LouisNorwoodFerguson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.416%4.42%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.297%1.30%1-1.000000x-1.000000x8.210355x8.210355x8.21x0.472%0.47%3.873%3.87%-1.000000x-1.000000x4.105211x4.105211x4.11x0.431%0.43%1.770%1.77%2-1.000000x-1.000000x4.022103x4.022103x4.02x1.291%1.29%5.194%5.19%-1.000000x-1.000000x3.374462x3.374462x3.37x0.435%0.44%1.469%1.47%3-1.000000x-1.000000x3.042339x3.042339x3.04x1.647%1.65%5.010%5.01%-1.000000x-1.000000x2.978747x2.978747x2.98x7.591%7.59%22.613%22.6%4-1.000000x-1.000000x2.891573x2.891573x2.89x3.534%3.53%10.219%10.2%5-1.000000x-1.000000x2.790578x2.790578x2.79x1.674%1.67%4.672%4.67%-1.000000x-1.000000x2.616560x2.616560x2.62x1.243%1.24%3.253%3.25%6-1.000000x-1.000000x2.233412x2.233412x2.23x6.130%6.13%13.690%13.7%7-1.000000x-1.000000x2.233340x2.233340x2.23x2.635%2.63%5.884%5.88%8-1.000000x-1.000000x2.211151x2.211151x2.21x0.505%0.51%1.117%1.12%9-1.000000x-1.000000x2.130456x2.130456x2.13x9.974%9.97%21.249%21.2%10-1.000000x-1.000000x2.074667x2.074667x2.07x5.484%5.48%11.378%11.4%11-1.000000x-1.000000x2.053502x2.053502x2.05x2.536%2.54%5.207%5.21%12-1.000000x-1.000000x1.947853x1.947853x1.95x2.557%2.56%4.981%4.98%13-1.000000x-1.000000x1.914640x1.914640x1.91x1.420%1.42%2.718%2.72%-1.000000x-1.000000x1.901670x1.901670x1.90x1.619%1.62%3.079%3.08%14-1.000000x-1.000000x1.897752x1.897752x1.90x7.445%7.44%14.128%14.1%15-1.000000x-1.000000x1.839704x1.839704x1.84x5.292%5.29%9.735%9.74%16-1.000000x-1.000000x1.801278x1.801278x1.80x1.195%1.19%2.152%2.15%17-1.000000x-1.000000x1.757641x1.757641x1.76x0.829%0.83%1.456%1.46%18-1.000000x-1.000000x1.741722x1.741722x1.74x2.559%2.56%4.457%4.46%19-1.000000x-1.000000x1.669652x1.669652x1.67x1.552%1.55%2.591%2.59%20-1.000000x-1.000000x1.656176x1.656176x1.66x0.623%0.62%1.032%1.03%21-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.594382x1.594382x1.59x1.199%1.20%1.911%1.91%22-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582808x1.582808x1.58x2.619%2.62%4.146%4.15%-1.000000x-1.000000x1.539381x1.539381x1.54x0.866%0.87%1.333%1.33%23-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523750x1.523750x1.52x11.953%12.0%18.213%18.2%24-1.000000x-1.000000x1.523301x1.523301x1.52x1.809%1.81%2.756%2.76%25-1.000000x-1.000000x1.517844x1.517844x1.52x1.689%1.69%2.563%2.56%26-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.487262x1.487262x1.49x4.594%4.59%6.833%6.83%27-1.000000x-1.000000x1.465462x1.465462x1.47x8.768%8.77%12.849%12.8%28-1.000000x-1.000000x1.461492x1.461492x1.46x1.416%1.42%2.069%2.07%29-1.000000x-1.000000x1.429705x1.429705x1.43x4.455%4.46%6.369%6.37%30-1.000000x-1.000000x1.375778x1.375778x1.38x3.191%3.19%4.390%4.39%31-1.000000x-1.000000x1.362374x1.362374x1.36x2.373%2.37%3.233%3.23%32-1.000000x-1.000000x1.284414x1.284414x1.28x6.233%6.23%8.006%8.01%33-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%34-1.000000x-1.000000x1.272103x1.272103x1.27x1.172%1.17%1.491%1.49%35-1.000000x-1.000000x1.233946x1.233946x1.23x1.642%1.64%2.026%2.03%36-1.000000x-1.000000x1.198016x1.198016x1.20x2.060%2.06%2.468%2.47%37-1.000000x-1.000000x1.189595x1.189595x1.19x3.950%3.95%4.699%4.70%38-1.000000x-1.000000x1.180028x1.180028x1.18x1.354%1.35%1.597%1.60%39-1.000000x-1.000000x1.153437x1.153437x1.15x1.321%1.32%1.523%1.52%40-1.000000x-1.000000x1.108475x1.108475x1.11x0.665%0.67%0.737%0.74%41-1.000000x-1.000000x1.039888x1.039888x1.04x2.448%2.45%2.546%2.55%42-1.000000x-1.000000x1.014307x1.014307x1.01x1.220%1.22%1.237%1.24%43-1.112780x-1.112780x1.11x1.000000x1.000000x2.272%2.27%2.042%2.04%44-1.155208x-1.155208x1.16x1.000000x1.000000x0.485%0.49%0.420%0.42%45-1.256789x-1.256789x1.26x1.000000x1.000000x1.446%1.45%1.150%1.15%46-1.257957x-1.257957x1.26x1.000000x1.000000x1.940%1.94%1.542%1.54%47-1.344446x-1.344446x1.34x1.000000x1.000000x0.383%0.38%0.285%0.28%48-1.563504x-1.563504x1.56x1.000000x1.000000x0.775%0.77%0.496%0.50%49-1.780772x-1.780772x1.78x1.000000x1.000000x1.786%1.79%1.003%1.00%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 Illinois

There are 1,710 county subdivisions in Illinois. This section compares the Monroe Precinct 35 to the 50 most populous county subdivisions in Illinois and to those entities that contain or substantially overlap with the Monroe Precinct 35. The least populous of the compared county subdivisions has a population of 54,812.

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 Precinct 35, selected other county subdivisions in Illinois, and entities that contain the Monroe Precinct 35
0%10%20%30%40%Count#Cicero TownshipCiceroAurora TownshipAuroraWaukegan TownshipWaukeganJoliet TownshipJolietBerwyn TownshipBerwynElgin TownshipElginDundee TownshipDundeeAvon TownshipAddison TownshipAddisonChicagoLeyden TownshipLeydenHanover TownshipHanoverProviso TownshipProvisoRockford TownshipRockfordBloom TownshipBloomUnited States of AmericaUnited StatesThornton TownshipThorntonLockport TownshipLockportBloomingdale TownshipBloomingdalePeoria City TownshipPeoria CityDu Page TownshipDu PageLyons TownshipLyonsIllinoisElk Grove TownshipElk GrvMaine TownshipMaineEast North CentralWorth TownshipWorthBremen TownshipBremenMidwestNiles TownshipNilesSt. Louis Metro AreaSt. LouisCapital TownshipCapitalPalos TownshipPalosWayne TownshipWayneWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgPlainfield TownshipPlainfieldWarren TownshipWarrenRich TownshipEvanston TownshipEvanstonOrland TownshipOrlandAlgonquin TownshipAlgonquinYork TownshipMilton TownshipMilton600101Tract 600101Monroe CountyMonroeBloomington City TownshipBloomington CityColumbiaChampaign City TownshipChampaign CityFrankfort TownshipFrankfortNaperville TownshipNapervilleZIP Code 62236ZIP 62236Downers Grove TownshipDowners GrvColumbia Community Unit School District 4Columbia 4Northfield TownshipNorthfieldLisle TownshipLisleVernon TownshipVernonWheatland TownshipWheatlandMonroe Precinct 3535New Trier TownshipNew Trier40.114442%40.114442%40.1%18,78818.8k133.464284%33.464284%33.5%29,81429.8k231.446858%31.446858%31.4%16,85316.9k322.775172%22.775172%22.8%12,38412.4k421.373918%21.373918%21.4%7,682519.506942%19.506942%19.5%12,77112.8k618.075020%18.075020%18.1%7,416717.697067%17.697067%17.7%7,036816.909837%16.909837%16.9%10,25710.3k916.905373%16.905373%16.9%309,770310k1016.634243%16.634243%16.6%10,68810.7k1116.021941%16.021941%16.0%10,63210.6k1215.636222%15.636222%15.6%16,11016.1k1315.608074%15.608074%15.6%18,24118.2k1413.167693%13.167693%13.2%7,7801513.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k1612.907551%12.907551%12.9%5,1981712.171847%12.171847%12.2%9,3751812.155791%12.155791%12.2%8,0961911.879050%11.879050%11.9%6,7102011.873376%11.873376%11.9%8,9082111.703119%11.703119%11.7%1,008,6081.01M11.515152%11.515152%11.5%7,5432211.132206%11.132206%11.1%10,96511.0k2310.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k2410.610291%10.610291%10.6%7,8672510.244520%10.244520%10.2%4,641,8354.64M9.916103%9.916103%9.9%7,659269.047519%9.047519%9.0%173,200173k8.623103%8.623103%8.6%6,837278.476562%8.476562%8.5%3,329288.450611%8.450611%8.5%3,825298.424707%8.424707%8.4%9,343308.392669%8.392669%8.4%6,695317.739434%7.739434%7.7%7,226327.080707%7.080707%7.1%3,426337.009572%7.009572%7.0%2,900346.047812%6.047812%6.0%3,223356.014252%6.014252%6.0%2,878365.916957%5.916957%5.9%4,154375.784297%5.784297%5.8%3,411385.461095%5.461095%5.5%4,715395.266517%5.266517%5.3%4,126405.165099%5.165099%5.2%2804.606827%4.606827%4.6%1,0854.581501%4.581501%4.6%2,334414.529761%4.529761%4.5%3284.499493%4.499493%4.5%2,087424.232189%4.232189%4.2%1,639434.145125%4.145125%4.1%2,742444.084224%4.084224%4.1%3864.020265%4.020265%4.0%4,166453.932342%3.932342%3.9%3653.621021%3.621021%3.6%2,240463.522812%3.522812%3.5%2,870473.190124%3.190124%3.2%1,491482.939840%2.939840%2.9%1,488492.835052%2.835052%2.8%221.433130%1.433130%1.4%52150
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 Precinct 35, selected other county subdivisions in Illinois, and entities that contain the Monroe Precinct 35
0%20%40%60%80%Count#New Trier TownshipNew TrierVernon TownshipVernonEvanston TownshipEvanstonNorthfield TownshipNorthfieldWheatland TownshipWheatlandNaperville TownshipNapervilleMilton TownshipMiltonLisle TownshipLisleDowners Grove TownshipDowners GrvChampaign City TownshipChampaign CityMonroe Precinct 3535Palatine TownshipPalatineYork TownshipBloomington City TownshipBloomington CityWheeling TownshipWheelingNiles TownshipNilesWarren TownshipWarrenFrankfort TownshipFrankfortSchaumburg TownshipSchaumburgWayne TownshipWayneColumbiaMaine TownshipMaineAlgonquin TownshipAlgonquinOrland TownshipOrlandZIP Code 62236ZIP 62236Rich TownshipColumbia Community Unit School District 4Columbia 4Lyons TownshipLyonsChicagoCapital TownshipCapitalDu Page TownshipDu Page600101Tract 600101Elk Grove TownshipElk GrvPlainfield TownshipPlainfieldIllinoisBloomingdale TownshipBloomingdaleSt. Louis Metro AreaSt. LouisHanover TownshipHanoverUnited States of AmericaUnited StatesMonroe CountyMonroePalos TownshipPalosPeoria City TownshipPeoria CityAvon TownshipMidwestDundee TownshipDundeeEast North CentralProviso TownshipProvisoWorth TownshipWorthElgin TownshipElginAddison TownshipAddisonBremen TownshipBremenLockport TownshipLockportBloom TownshipBloomRockford TownshipRockfordBerwyn TownshipBerwynLeyden TownshipLeydenThornton TownshipThorntonAurora TownshipAuroraJoliet TownshipJolietWaukegan TownshipWaukeganCicero TownshipCicero82.981240%82.981240%83.0%30,16730.2k167.578844%67.578844%67.6%31,58531.6k265.899735%65.899735%65.9%31,53531.5k364.724140%64.724140%64.7%40,03940.0k464.115381%64.115381%64.1%32,45232.5k558.586546%58.586546%58.6%38,75538.8k657.681507%57.681507%57.7%45,19045.2k756.900171%56.900171%56.9%46,35646.4k853.762123%53.762123%53.8%55,71155.7k952.247591%52.247591%52.2%24,23424.2k1050.128866%50.128866%50.1%38949.860853%49.860853%49.9%39,77539.8k1149.728972%49.728972%49.7%42,93542.9k1247.014369%47.014369%47.0%23,95124.0k1346.409378%46.409378%46.4%51,46851.5k1446.325643%46.325643%46.3%35,78135.8k1545.538045%45.538045%45.5%18,84018.8k1642.794433%42.794433%42.8%16,57316.6k1741.792515%41.792515%41.8%39,02039.0k1840.377350%40.377350%40.4%18,27618.3k1940.174009%40.174009%40.2%2,90939.511462%39.511462%39.5%38,91838.9k2039.087672%39.087672%39.1%23,05023.1k2138.394701%38.394701%38.4%26,95527.0k2237.212993%37.212993%37.2%3,51737.195076%37.195076%37.2%19,82219.8k2337.104072%37.104072%37.1%3,44436.653116%36.653116%36.7%27,49927.5k2436.546320%36.546320%36.5%669,666670k2536.298510%36.298510%36.3%28,78028.8k2636.139928%36.139928%36.1%20,41420.4k2735.731415%35.731415%35.7%1,93735.212579%35.212579%35.2%23,06623.1k2833.479384%33.479384%33.5%16,19916.2k2932.893660%32.893660%32.9%2,834,8692.83M32.623147%32.623147%32.6%25,12725.1k3032.608574%32.608574%32.6%624,238624k30.758450%30.758450%30.8%20,41120.4k3130.315023%30.315023%30.3%64,767,78764.8M29.780910%29.780910%29.8%7,01429.633591%29.633591%29.6%11,63811.6k3229.457073%29.457073%29.5%19,61919.6k3329.196640%29.196640%29.2%11,60811.6k3428.952816%28.952816%29.0%13,118,64213.1M28.660216%28.660216%28.7%11,75911.8k3528.462853%28.462853%28.5%8,931,6868.93M26.237989%26.237989%26.2%27,03327.0k3625.217641%25.217641%25.2%26,38926.4k3724.981289%24.981289%25.0%16,35516.4k3824.653379%24.653379%24.7%14,95415.0k3922.955021%22.955021%23.0%17,02017.0k4022.241812%22.241812%22.2%8,9574122.102430%22.102430%22.1%13,05913.1k4221.592552%21.592552%21.6%25,23525.2k4321.245931%21.245931%21.2%7,6364420.075327%20.075327%20.1%12,89912.9k4518.971090%18.971090%19.0%21,01221.0k4615.929601%15.929601%15.9%14,19214.2k4714.331954%14.331954%14.3%7,7934812.345126%12.345126%12.3%6,616497.338372%7.338372%7.3%3,43750
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 Precinct 35, selected other county subdivisions in Illinois, and entities that contain the Monroe Precinct 35
0%5%10%15%Count#New Trier TownshipNew TrierEvanston TownshipEvanstonNorthfield TownshipNorthfieldChampaign City TownshipChampaign CityVernon TownshipVernonDowners Grove TownshipDowners GrvYork TownshipWheatland TownshipWheatlandLisle TownshipLisleMilton TownshipMiltonNiles TownshipNilesLyons TownshipLyonsNaperville TownshipNapervilleChicagoBloomington City TownshipBloomington CityCapital TownshipCapitalWarren TownshipWarrenMaine TownshipMaineRich TownshipFrankfort TownshipFrankfortOrland TownshipOrlandPalatine TownshipPalatineWheeling TownshipWheelingIllinoisSt. Louis Metro AreaSt. LouisUnited States of AmericaUnited StatesPeoria City TownshipPeoria CityZIP Code 62236ZIP 62236Palos TownshipPalosColumbia Community Unit School District 4Columbia 4ColumbiaMidwestDu Page TownshipDu PageEast North CentralSchaumburg TownshipSchaumburgElk Grove TownshipElk GrvWayne TownshipWayneAlgonquin TownshipAlgonquinAvon TownshipProviso TownshipProvisoMonroe Precinct 3535Bloomingdale TownshipBloomingdaleRockford TownshipRockfordMonroe CountyMonroe600101Tract 600101Worth TownshipWorthHanover TownshipHanoverBremen TownshipBremenBloom TownshipBloomBerwyn TownshipBerwynPlainfield TownshipPlainfieldDundee TownshipDundeeAddison TownshipAddisonElgin TownshipElginLeyden TownshipLeydenLockport TownshipLockportAurora TownshipAuroraThornton TownshipThorntonJoliet TownshipJolietWaukegan TownshipWaukeganCicero TownshipCicero19.288111%19.288111%19.3%7,012113.179947%13.179947%13.2%6,307210.526826%10.526826%10.5%6,512310.324904%10.324904%10.3%4,78947.745304%7.745304%7.7%3,62057.658384%7.658384%7.7%7,93666.197734%6.197734%6.2%5,35176.195792%6.195792%6.2%3,13685.933545%5.933545%5.9%4,83495.800061%5.800061%5.8%4,544105.751055%5.751055%5.8%4,442114.805065%4.805065%4.8%3,605124.772487%4.772487%4.8%3,157134.485379%4.485379%4.5%82,18982.2k144.406800%4.406800%4.4%2,245154.233985%4.233985%4.2%3,357164.113893%4.113893%4.1%1,702174.030539%4.030539%4.0%3,970184.004353%4.004353%4.0%2,134193.702843%3.702843%3.7%1,434203.647888%3.647888%3.6%2,561213.487439%3.487439%3.5%2,782223.407574%3.407574%3.4%3,779233.366505%3.366505%3.4%290,135290k3.340948%3.340948%3.3%63,95764.0k3.336158%3.336158%3.3%7,127,6737.13M3.226630%3.226630%3.2%2,149243.216591%3.216591%3.2%3043.195580%3.195580%3.2%1,255253.070459%3.070459%3.1%2853.065875%3.065875%3.1%2222.893416%2.893416%2.9%1,311,0191.31M2.860886%2.860886%2.9%1,616262.855432%2.855432%2.9%896,039896k2.551250%2.551250%2.6%2,382272.549424%2.549424%2.5%1,670282.359543%2.359543%2.4%1,068292.348652%2.348652%2.3%1,385302.303939%2.303939%2.3%916312.213918%2.213918%2.2%2,281322.190722%2.190722%2.2%172.113682%2.113682%2.1%1,628332.067272%2.067272%2.1%2,416342.042289%2.042289%2.0%4812.010699%2.010699%2.0%1091.958049%1.958049%2.0%2,049351.949999%1.949999%1.9%1,294361.700722%1.700722%1.7%1,261371.656963%1.656963%1.7%979381.588715%1.588715%1.6%571391.564534%1.564534%1.6%757401.545248%1.545248%1.5%634411.506834%1.506834%1.5%914421.412882%1.412882%1.4%925431.408495%1.408495%1.4%905441.122396%1.122396%1.1%452450.936111%0.936111%0.9%834460.876686%0.876686%0.9%971470.823908%0.823908%0.8%448480.630691%0.630691%0.6%338490.217781%0.217781%0.2%10250
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 Precinct 35, selected other county subdivisions in Illinois, and entities that contain the Monroe Precinct 35
Female
Male
10x5x0xFM#Tract 600101PlainfieldLockportColumbiaColumbia 4NapervilleZIP 62236BremenBloomAvon TownshipRich TownshipDu PageThorntonJolietProvisoRockfordBerwynPalosElginElk GrvMidwestEast North CentralWarrenPeoria CityIllinoisUnited StatesWorthAuroraWheelingHanoverSchaumburgBloomington CityLeydenAddisonChicagoCiceroSt. LouisPalatineCapitalLyonsYork TownshipBloomingdaleFrankfortDundeeWaukeganAlgonquinNilesMonroeLisleWayneChampaign CityDowners GrvEvanstonMiltonMaineNew TrierOrlandNorthfieldVernonWheatland35-1.000000x-1.000000x1.926953x1.926953x1.93x3.639%3.64%7.012%7.01%-1.000000x-1.000000x1.601881x1.601881x1.60x5.490%5.49%8.794%8.79%1-1.000000x-1.000000x1.541329x1.541329x1.54x10.148%10.1%15.642%15.6%2-1.000000x-1.000000x1.495360x1.495360x1.50x3.697%3.70%5.529%5.53%-1.000000x-1.000000x1.405313x1.405313x1.41x3.308%3.31%4.648%4.65%-1.000000x-1.000000x1.372139x1.372139x1.37x3.520%3.52%4.830%4.83%3-1.000000x-1.000000x1.349169x1.349169x1.35x3.512%3.51%4.738%4.74%-1.000000x-1.000000x1.316841x1.316841x1.32x9.241%9.24%12.169%12.2%4-1.000000x-1.000000x1.294039x1.294039x1.29x11.596%11.6%15.006%15.0%5-1.000000x-1.000000x1.262010x1.262010x1.26x15.673%15.7%19.780%19.8%6-1.000000x-1.000000x1.248955x1.248955x1.25x5.461%5.46%6.821%6.82%7-1.000000x-1.000000x1.204737x1.204737x1.20x10.806%10.8%13.018%13.0%8-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%9-1.000000x-1.000000x1.181052x1.181052x1.18x20.931%20.9%24.720%24.7%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-1.000000x1.164237x1.164237x1.16x19.784%19.8%23.034%23.0%13-1.000000x-1.000000x1.145379x1.145379x1.15x7.947%7.95%9.103%9.10%14-1.000000x-1.000000x1.143910x1.143910x1.14x18.203%18.2%20.822%20.8%15-1.000000x-1.000000x1.131549x1.131549x1.13x10.819%10.8%12.243%12.2%16-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123118x1.123118x1.12x6.617%6.62%7.432%7.43%17-1.000000x-1.000000x1.116331x1.116331x1.12x11.528%11.5%12.869%12.9%18-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%19-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%20-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%21-1.000000x-1.000000x1.077424x1.077424x1.08x15.427%15.4%16.621%16.6%22-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%23-1.000000x-1.000000x1.076360x1.076360x1.08x4.417%4.42%4.754%4.75%24-1.000000x-1.000000x1.072818x1.072818x1.07x16.068%16.1%17.238%17.2%25-1.000000x-1.000000x1.069683x1.069683x1.07x16.346%16.3%17.486%17.5%26-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%27-1.000000x-1.000000x1.061493x1.061493x1.06x38.904%38.9%41.296%41.3%28-1.000000x-1.000000x1.044797x1.044797x1.04x8.860%8.86%9.257%9.26%-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%29-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%30-1.000000x-1.000000x1.033283x1.033283x1.03x11.690%11.7%12.079%12.1%31-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%32-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%33-1.000000x-1.000000x1.006988x1.006988x1.01x4.218%4.22%4.247%4.25%34-1.000216x-1.000216x1.00x1.000000x1.000000x18.077%18.1%18.073%18.1%35-1.016910x-1.016910x1.02x1.000000x1.000000x31.709%31.7%31.182%31.2%36-1.033600x-1.033600x1.03x1.000000x1.000000x5.877%5.88%5.686%5.69%37-1.039395x-1.039395x1.04x1.000000x1.000000x10.093%10.1%9.710%9.71%38-1.054460x-1.054460x1.05x1.000000x1.000000x4.724%4.72%4.480%4.48%-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%39-1.092808x-1.092808x1.09x1.000000x1.000000x8.818%8.82%8.069%8.07%40-1.130542x-1.130542x1.13x1.000000x1.000000x4.771%4.77%4.220%4.22%41-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%42-1.167196x-1.167196x1.17x1.000000x1.000000x6.439%6.44%5.517%5.52%43-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%44-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%45-1.232317x-1.232317x1.23x1.000000x1.000000x1.576%1.58%1.279%1.28%46-1.318481x-1.318481x1.32x1.000000x1.000000x6.676%6.68%5.064%5.06%47-1.338170x-1.338170x1.34x1.000000x1.000000x4.105%4.10%3.067%3.07%48-1.368874x-1.368874x1.37x1.000000x1.000000x3.662%3.66%2.675%2.68%49-1.422071x-1.422071x1.42x1.000000x1.000000x3.439%3.44%2.419%2.42%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.627%5.63%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Precinct 35, selected other county subdivisions in Illinois, and entities that contain the Monroe Precinct 35
Female
Male
0x5x10xFM#35Tract 600101ColumbiaZIP 62236Columbia 4OrlandNorthfieldRockfordBloomington CityElginPeoria CityMonroeCapitalNew TrierDowners GrvVernonNilesLisleYork TownshipFrankfortMaineAvon TownshipBloomWheelingLyonsMiltonLeydenPalosEast North CentralEvanstonMidwestBloomingdaleSt. LouisWheatlandChampaign CityAuroraNapervilleUnited StatesIllinoisPalatineSchaumburgPlainfieldWayneAddisonWarrenDundeeBremenChicagoJolietHanoverWaukeganLockportWorthElk GrvDu PageProvisoRich TownshipAlgonquinBerwynCiceroThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.416%4.42%-1.000000x-1.000000x8.210355x8.210355x8.21x0.472%0.47%3.873%3.87%-1.000000x-1.000000x4.022103x4.022103x4.02x1.291%1.29%5.194%5.19%-1.000000x-1.000000x3.042339x3.042339x3.04x1.647%1.65%5.010%5.01%-1.000000x-1.000000x2.790578x2.790578x2.79x1.674%1.67%4.672%4.67%-1.000000x-1.000000x2.168832x2.168832x2.17x2.353%2.35%5.103%5.10%1-1.000000x-1.000000x2.130893x2.130893x2.13x6.892%6.89%14.686%14.7%2-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%3-1.000000x-1.000000x2.083932x2.083932x2.08x2.880%2.88%6.003%6.00%4-1.000000x-1.000000x2.059619x2.059619x2.06x0.925%0.92%1.905%1.90%5-1.000000x-1.000000x1.948954x1.948954x1.95x2.235%2.23%4.355%4.36%6-1.000000x-1.000000x1.914640x1.914640x1.91x1.420%1.42%2.718%2.72%-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%7-1.000000x-1.000000x1.852567x1.852567x1.85x13.689%13.7%25.360%25.4%8-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%9-1.000000x-1.000000x1.847396x1.847396x1.85x5.512%5.51%10.182%10.2%10-1.000000x-1.000000x1.821878x1.821878x1.82x4.168%4.17%7.593%7.59%11-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%12-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%13-1.000000x-1.000000x1.789153x1.789153x1.79x2.682%2.68%4.799%4.80%14-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%15-1.000000x-1.000000x1.784422x1.784422x1.78x1.662%1.66%2.965%2.96%16-1.000000x-1.000000x1.774387x1.774387x1.77x1.221%1.22%2.167%2.17%17-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%18-1.000000x-1.000000x1.707372x1.707372x1.71x3.605%3.60%6.154%6.15%19-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%20-1.000000x-1.000000x1.688497x1.688497x1.69x1.056%1.06%1.784%1.78%21-1.000000x-1.000000x1.633427x1.633427x1.63x2.477%2.48%4.046%4.05%22-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.595092x1.595092x1.60x10.344%10.3%16.500%16.5%23-1.000000x-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%24-1.000000x-1.000000x1.582808x1.582808x1.58x2.619%2.62%4.146%4.15%-1.000000x-1.000000x1.580953x1.580953x1.58x4.824%4.82%7.627%7.63%25-1.000000x-1.000000x1.565420x1.565420x1.57x8.076%8.08%12.642%12.6%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.527866x1.527866x1.53x3.812%3.81%5.824%5.82%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%29-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%30-1.000000x-1.000000x1.423252x1.423252x1.42x1.300%1.30%1.850%1.85%31-1.000000x-1.000000x1.420248x1.420248x1.42x1.956%1.96%2.778%2.78%32-1.000000x-1.000000x1.378989x1.378989x1.38x1.269%1.27%1.750%1.75%33-1.000000x-1.000000x1.364046x1.364046x1.36x3.500%3.50%4.774%4.77%34-1.000000x-1.000000x1.303912x1.303912x1.30x1.342%1.34%1.750%1.75%35-1.000000x-1.000000x1.261737x1.261737x1.26x1.515%1.52%1.912%1.91%36-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%37-1.000000x-1.000000x1.227910x1.227910x1.23x0.742%0.74%0.911%0.91%38-1.000000x-1.000000x1.201846x1.201846x1.20x1.772%1.77%2.129%2.13%39-1.000000x-1.000000x1.151981x1.151981x1.15x0.586%0.59%0.675%0.68%40-1.000000x-1.000000x1.141842x1.141842x1.14x1.048%1.05%1.196%1.20%41-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%42-1.000000x-1.000000x1.076314x1.076314x1.08x2.458%2.46%2.645%2.65%43-1.000000x-1.000000x1.056291x1.056291x1.06x2.785%2.78%2.942%2.94%44-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%45-1.000000x-1.000000x1.035849x1.035849x1.04x3.943%3.94%4.085%4.08%46-1.000000x-1.000000x1.032695x1.032695x1.03x2.312%2.31%2.388%2.39%47-1.023718x-1.023718x1.02x1.000000x1.000000x1.607%1.61%1.570%1.57%48-1.655047x-1.655047x1.66x1.000000x1.000000x0.272%0.27%0.165%0.16%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 Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Monroe Precinct 35 to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Monroe Precinct 35. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the Midwest, and entities that contain the Monroe Precinct 35
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 TownshipBloomingdaleIllinoisColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsSt. Louis Metro AreaSt. LouisCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMilton600101Tract 600101MadisonMonroe CountyMonroeColumbiaZIP Code 62236ZIP 62236Downers Grove TownshipDowners GrvColumbia Community Unit School District 4Columbia 4Lisle TownshipLisleOverland ParkAnn ArborMonroe Precinct 353533.464284%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%9,3752611.703119%11.703119%11.7%1,008,6081.01M11.376979%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%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%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%9,123349.047519%9.047519%9.0%173,200173k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%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%4,126455.165099%5.165099%5.2%2804.836248%4.836248%4.8%7,351464.606827%4.606827%4.6%1,0854.529761%4.529761%4.5%3284.084224%4.084224%4.1%3864.020265%4.020265%4.0%4,166473.932342%3.932342%3.9%3653.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,057502.835052%2.835052%2.8%22
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the Midwest, and entities that contain the Monroe Precinct 35
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMonroe Precinct 3535Palatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipColumbiaSt. PaulMaine TownshipMaineFargoZIP Code 62236ZIP 62236LincolnColumbia Community Unit School District 4Columbia 4Lawrence TownshipLawrenceChicagoCapital TownshipCapital600101Tract 600101ColumbusOmahaCincinnatiSt. LouisGrand RapidsIllinoisBloomingdale TownshipBloomingdaleSt. Louis Metro AreaSt. LouisCedar RapidsUnited States of AmericaUnited StatesSioux FallsMonroe CountyMonroeMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k750.128866%50.128866%50.1%38949.860853%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%50,61950.6k1440.174009%40.174009%40.2%2,90939.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.212993%37.212993%37.2%3,51737.146608%37.146608%37.1%62,25462.3k1837.104072%37.104072%37.1%3,44436.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2135.731415%35.731415%35.7%1,93734.685843%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%39,86339.9k2632.893660%32.893660%32.9%2,834,8692.83M32.623147%32.623147%32.6%25,12725.1k2732.608574%32.608574%32.6%624,238624k31.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2929.780910%29.780910%29.8%7,01428.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%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%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the Midwest, and entities that contain the Monroe Precinct 35
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingIllinoisColumbusSt. Louis Metro AreaSt. LouisUnited States of AmericaUnited StatesTopekaZIP Code 62236ZIP 62236Grand RapidsLawrence TownshipLawrenceColumbia Community Unit School District 4Columbia 4ColumbiaSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoMonroe Precinct 3535AkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeMonroe CountyMonroe600101Tract 600101Worth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.366505%3.366505%3.4%290,135290k3.357865%3.357865%3.4%17,95418.0k223.340948%3.340948%3.3%63,95764.0k3.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.216591%3.216591%3.2%3043.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472253.070459%3.070459%3.1%2853.065875%3.065875%3.1%2222.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.190722%2.190722%2.2%172.163955%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%7,455372.042289%2.042289%2.0%4812.010699%2.010699%2.0%1091.958049%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%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the Midwest, and entities that contain the Monroe Precinct 35
Female
Male
10x5x0xFM#Tract 600101ColumbiaColumbia 4ZIP 62236Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonIllinoisSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandSt. LouisPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborMonroeSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine35-1.000000x-1.000000x1.926953x1.926953x1.93x3.639%3.64%7.012%7.01%-1.000000x-1.000000x1.495360x1.495360x1.50x3.697%3.70%5.529%5.53%-1.000000x-1.000000x1.405313x1.405313x1.41x3.308%3.31%4.648%4.65%-1.000000x-1.000000x1.349169x1.349169x1.35x3.512%3.51%4.738%4.74%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%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-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-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-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-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-1.000000x1.044797x1.044797x1.04x8.860%8.86%9.257%9.26%-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%43-1.054460x-1.054460x1.05x1.000000x1.000000x4.724%4.72%4.480%4.48%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.627%5.63%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the Midwest, and entities that contain the Monroe Precinct 35
Female
Male
0x5x10xFM#35Tract 600101ColumbiaZIP 62236Columbia 4RockfordNDaytonSioux FallsMonroeCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleSt. LouisKansas CityAuroraUnited StatesAnn ArborIllinoisTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.416%4.42%-1.000000x-1.000000x8.210355x8.210355x8.21x0.472%0.47%3.873%3.87%-1.000000x-1.000000x4.022103x4.022103x4.02x1.291%1.29%5.194%5.19%-1.000000x-1.000000x3.042339x3.042339x3.04x1.647%1.65%5.010%5.01%-1.000000x-1.000000x2.790578x2.790578x2.79x1.674%1.67%4.672%4.67%-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-1.000000x1.914640x1.914640x1.91x1.420%1.42%2.718%2.72%-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-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-1.000000x1.582808x1.582808x1.58x2.619%2.62%4.146%4.15%-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-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-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 Monroe Precinct 35 to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Monroe Precinct 35. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the United States, and entities that contain the Monroe Precinct 35
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 FranciscoTucsonAlbuquerqueIllinoisTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSt. Louis Metro AreaSt. LouisSeattleNortheast TarrantNE TarrantPlano600101Tract 600101Seattle EastMonroe CountyMonroeColumbiaZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4Monroe Precinct 353528.998944%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%52,21752.2k3811.703119%11.703119%11.7%1,008,6081.01M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%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%37,37337.4k469.047519%9.047519%9.0%173,200173k8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k495.165099%5.165099%5.2%2804.913852%4.913852%4.9%20,32620.3k504.606827%4.606827%4.6%1,0854.529761%4.529761%4.5%3284.084224%4.084224%4.1%3863.932342%3.932342%3.9%3652.835052%2.835052%2.8%22
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the United States, and entities that contain the Monroe Precinct 35
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoMonroe Precinct 3535San JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteColumbiaTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4Northwest HarrisNW HarrisChicago600101Tract 600101ColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityIllinoisAlbuquerqueSt. Louis Metro AreaSt. LouisTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonMonroe CountyMonroeBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan 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%195,588196k550.128866%50.128866%50.1%38949.985845%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%223,068223k1240.174009%40.174009%40.2%2,90938.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1537.212993%37.212993%37.2%3,51737.104072%37.104072%37.1%3,44436.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1735.731415%35.731415%35.7%1,93734.685843%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%204,048204k2332.893660%32.893660%32.9%2,834,8692.83M32.636312%32.636312%32.6%140,967141k2432.608574%32.608574%32.6%624,238624k32.512191%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%627,520628k3029.780910%29.780910%29.8%7,01429.719611%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%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%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%59,72359.7k50
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#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the United States, and entities that contain the Monroe Precinct 35
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…BrooklynSacramentoIllinoisColumbusSt. Louis Metro AreaSt. LouisUnited States of AmericaUnited StatesZIP Code 62236ZIP 62236TulsaColumbia Community Unit School District 4Columbia 4ColumbiaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioMonroe Precinct 3535Fort WorthLas VegasMilwaukeeMonroe CountyMonroe600101Tract 600101San BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%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%25,05825.1k293.366505%3.366505%3.4%290,135290k3.357865%3.357865%3.4%17,95418.0k303.340948%3.340948%3.3%63,95764.0k3.336158%3.336158%3.3%7,127,6737.13M3.216591%3.216591%3.2%3043.140490%3.140490%3.1%12,13312.1k313.070459%3.070459%3.1%2853.065875%3.065875%3.1%2223.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.190722%2.190722%2.2%172.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455442.042289%2.042289%2.0%4812.010699%2.010699%2.0%1091.807306%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%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the United States, and entities that contain the Monroe Precinct 35
Female
Male
10x5x0xFM#Tract 600101ColumbiaColumbia 4ZIP 622361, CharlotteDetroitBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeIllinoisUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverSt. LouisNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleMonroeLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso35-1.000000x-1.000000x1.926953x1.926953x1.93x3.639%3.64%7.012%7.01%-1.000000x-1.000000x1.495360x1.495360x1.50x3.697%3.70%5.529%5.53%-1.000000x-1.000000x1.405313x1.405313x1.41x3.308%3.31%4.648%4.65%-1.000000x-1.000000x1.349169x1.349169x1.35x3.512%3.51%4.738%4.74%-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-1.000000x1.179669x1.179669x1.18x15.289%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-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-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-1.000000x1.044797x1.044797x1.04x8.860%8.86%9.257%9.26%-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%44-1.054460x-1.054460x1.05x1.000000x1.000000x4.724%4.72%4.480%4.48%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.627%5.63%0.000%0%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Precinct 35, selected other county subdivisions in the United States, and entities that contain the Monroe Precinct 35
Female
Male
0x5x10xFM#35Tract 600101ColumbiaZIP 62236Columbia 4El PasoSalt Lk CityMonroePlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestSt. LouisNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseIllinoisHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.416%4.42%-1.000000x-1.000000x8.210355x8.210355x8.21x0.472%0.47%3.873%3.87%-1.000000x-1.000000x4.022103x4.022103x4.02x1.291%1.29%5.194%5.19%-1.000000x-1.000000x3.042339x3.042339x3.04x1.647%1.65%5.010%5.01%-1.000000x-1.000000x2.790578x2.790578x2.79x1.674%1.67%4.672%4.67%-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-1.000000x1.914640x1.914640x1.91x1.420%1.42%2.718%2.72%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582808x1.582808x1.58x2.619%2.62%4.146%4.15%-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-1.000000x1.557664x1.557664x1.56x4.733%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-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Illinois
County:
Monroe
Metro Area:
St. Louis Area
City:
Columbia
ZIP Code:
62236
Unified School District:
Columbia 4
Congressional District:
IL-12
State Senate District:
IL-58
State House District:
IL-116
Neighboring Precincts:
4, 5, 10, 34, 36, 37
Neighboring Townships:
Sugar Loaf
Nearby Precincts:
2, 3, 11, 14, 21, 24, 25, 30
Nearby Townships:
Lemay, Oakville