Educational Attainment in the Hanna Township, Henry County, Illinois (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Henry County and the Hanna Township
Hanna Township
Henry County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma239.901780%32.337470%39.901780%39.9%65054.511971%56.563690%54.511971%54.5%8885.586249%11.098840%5.586249%5.6%91
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 Henry County at large.
Scope: population of Henry County and the Hanna Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma223.391782%23.391782%+23.4%39.902%39.9%32.337%32.3%-3.627273%-3.627273%-3.6%54.512%54.5%56.564%56.6%-49.668172%-49.668172%-49.7%5.586%5.59%11.099%11.1%
% percentage with given level in the Hanna Township
ref. percentage with given level in Henry 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 Henry County and the Hanna Township
Hanna Township
Henry County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.675261%0.302247%0.675261%0.7%111.780233%1.145049%1.780233%1.8%297.734807%4.757476%7.734807%7.7%12618.845918%15.065826%18.845918%18.8%30710.865562%11.066872%10.865562%10.9%17725.782689%22.892267%25.782689%25.8%42028.729282%33.671423%28.729282%28.7%4685.033763%7.884565%5.033763%5.0%820.429711%2.853905%0.429711%0.4%70.122775%0.360371%0.122775%0.1%2
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Henry County at large.
Scope: population of Henry County and the Hanna Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None123.413963%123.413963%+123.4%0.675%0.68%0.302%0.30%55.472200%55.472200%+55.5%1.780%1.78%1.145%1.15%62.582139%62.582139%+62.6%7.735%7.73%4.757%4.76%25.090506%25.090506%+25.1%18.846%18.8%15.066%15.1%-1.819036%-1.819036%-1.8%10.866%10.9%11.067%11.1%12.626195%12.626195%+12.6%25.783%25.8%22.892%22.9%-14.677554%-14.677554%-14.7%28.729%28.7%33.671%33.7%-36.156744%-36.156744%-36.2%5.034%5.03%7.885%7.88%-84.943032%-84.943032%-84.9%0.430%0.43%2.854%2.85%-65.931009%-65.931009%-65.9%0.123%0.12%0.360%0.36%
% percentage with given level in the Hanna Township
ref. percentage with given level in Henry 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 Henry County and the Hanna Township
More Females More Males
Henry County
Hanna Township
0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-24.234685%-5.778857%-24.234685%24%44.305%44.3%35.663%35.7%-1.024639%7.752538%7.752538%8%52.441%52.4%56.506%56.5%140.662651%24.081483%140.662651%141%3.254%3.25%7.831%7.83%
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 Henry County and the Hanna Township
More Females More Males
Henry County
Hanna Township
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-1,000.000000%-30.068501%-1,000.000000%> 1000%1.377%1.38%0.000%0%113.922356%103.420628%113.922356%114%1.126%1.13%2.410%2.41%-80.660608%-30.256461%-80.660608%81%10.013%10.0%5.542%5.54%-45.269477%-45.269477%45%6.634786%22.403%22.4%15.422%15.4%-22.636015%30.920482%30.920482%31%9.387%9.39%12.289%12.3%-25.749292%-14.194218%-25.749292%26%28.786%28.8%22.892%22.9%42.105565%7.552976%42.105565%42%23.655%23.7%33.614%33.6%268.072289%39.516277%268.072289%268%2.128%2.13%7.831%7.83%-1,000.000000%-9.128797%-1,000.000000%> 1000%0.876%0.88%0.000%0%-1,000.000000%-1,000.000000%> 1000%8.277234%0.250%0.25%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 Henry County and the Hanna Township
Hanna Township
Henry County
0%10%20%30%40%50%B.X.Total65+45-6435-4425-347.088608%10.009771%7.088608%7.1%2839513.294118%14.812195%13.294118%13.3%11385036.401674%18.632685%36.401674%36.4%8723954.482759%20.669966%54.482759%54.5%79145
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 Henry County at large.
Scope: population of Henry County and the Hanna Township
0%50%100%150%%ref.65+45-6435-4425-34-29.183119%-29.183119%29.2%7.089%7.09%10.010%10.0%-10.248834%-10.248834%10.2%13.294%13.3%14.812%14.8%95.364620%95.364620%95.4%36.402%36.4%18.633%18.6%163.584175%163.584175%163.6%54.483%54.5%20.670%20.7%
% percentage in the Hanna Township with a Bachelor's degree
ref percentage in Henry 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 Henry County and the Hanna Township
More Females More Males
Henry County
Hanna Township
150%100%50%0%50%100%FM65+45-6435-4425-34105.069124%35.639387%105.069124%105.1%4.494%4.49%9.217%9.22%-68.572059%-68.572059%68.6%11.920297%17.005%17.0%10.088%10.1%-171.071429%-14.144354%-171.071429%171.1%49.286%49.3%18.182%18.2%-13.470768%88.571429%88.571429%88.6%40.230%40.2%75.862%75.9%
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 Henry County and the Hanna Township
Hanna Township
Henry County
$0k$20k$40k$60k$80kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$91,625.000000$59,375.000000$91,625.000000$91.6k16610.190%10.2%$56,146.000000$50,057.000000$56,146.000000$56.1k30718.846%18.8%$47,625.000000$35,604.000000$47,625.000000$47.6k59736.648%36.6%$52,361.000000$30,582.000000$52,361.000000$52.4k46828.729%28.7%$20,469.000000$21,265.000000$20,469.000000$20.5k915.586%5.59%$51,745.000000$36,339.000000$51,745.000000$51.7k1,629100.000%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 Henry County and the Hanna Township
Female Male
Henry County
Hanna Township
Shaded bar tips show excess over facing bar.
$50k$0k$50k$100kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-85,000.000000$-52,372.000000$-85,000.000000$85.0k$85,000.000000$21,806.000000$52,372.000000$28,196.000000$106,806.000000$106.8k10066$-41,250.000000$-36,830.000000$-41,250.000000$41.3k$41,250.000000$25,119.000000$36,830.000000$31,636.000000$66,369.000000$66.4k179128$-26,944.000000$-25,688.000000$-26,944.000000$26.9k$26,944.000000$44,569.000000$25,688.000000$25,439.000000$71,513.000000$71.5k305292$-33,250.000000$-18,125.000000$-33,250.000000$33.3k$33,250.000000$21,438.000000$18,125.000000$22,393.000000$54,688.000000$54.7k189279$-38,724.000000$-26,104.000000$-38,724.000000$38.7k$38,724.000000$26,042.000000$26,104.000000$22,783.000000$64,766.000000$64.8k799830
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 Henry County and the Hanna Township
Hanna Township
Henry County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma384.375000%85.284168%84.375000%84.4%35182.086168%77.614186%82.086168%82.1%36270.370370%72.270544%70.370370%70.4%22835.849057%56.277436%35.849057%35.8%19
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Henry County and the Hanna Township
Female Male
Henry County
Hanna Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1Hispanic2-2.454780%-8.514982%-2.454780%2.5%2.454780%5.690583%8.514982%1.502918%8.145363%8.1%6519-0.000000%-28.000000%-48.327138%-28.000000%28.0%0.000000%48.327138%1.139529%0.000000%0.0%07
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 Henry County and the Hanna Township
Female Male
Henry County
Hanna Township
Shaded bar tips show excess over facing bar.
60%40%20%0%20%MFWhite1Hispanic2-23.182957%-10.537973%-21.131328%-33.720930%33.7%23.182957%21.131328%1.455298%23.182957%23.2%185261-37.500000%-34.500000%-8.800000%-12.947212%-72.000000%72.0%37.500000%8.800000%37.500000%37.5%918
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Hanna Township

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

Percentage of the population 25 years and older with given highest level of educational attainment
21%27%32%38%43%49%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
47.4%50.1%52.8%55.5%58.2%60.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
4.2%7.0%9.7%12.4%15.1%17.8%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.21%0.41%0.62%0.83%1.04%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
1.57%1.64%1.71%1.77%1.84%1.91%

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

Percentage of the population 25 years and older with given highest level of educational attainment
1.3%2.8%4.3%5.7%7.2%8.7%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.4%13.6%16.8%20.0%23.1%26.3%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.6%8.3%8.9%9.5%10.1%10.8%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
19.8%21.4%22.9%24.5%26.0%27.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
27.6%28.7%29.9%31.0%32.1%33.3%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
3.7%5.9%7.9%10.0%12.1%14.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.50%0.96%1.41%1.87%2.33%2.79%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.16%0.33%0.49%0.66%0.83%
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Educational Attainment by County Subdivision in the Davenport Area

There are 71 county subdivisions in the Davenport Area. This section compares the Hanna Township to the 50 most populous county subdivisions in the Davenport Area and to those entities that contain or substantially overlap with the Hanna Township. The least populous of the compared county subdivisions has a population of 717.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Hanna Township, selected other county subdivisions in the Davenport Area, and entities that contain the Hanna Township
0%5%10%15%20%Count#Kewanee TownshipKewaneeAllens Grove TownshipAllens GrvMoline TownshipMolineRock Island TownshipRock IsCanoe Creek TownshipCanoe CrkColona TownshipColonaNew Boston TownshipNew BostonWethersfield TownshipWethersfieldHampton TownshipHamptonUnited States of AmericaUnited StatesLincoln TownshipLincolnIllinoisHenry CountyHenryAtkinson TownshipAtkinsonBuffalo TownshipBuffaloEast North CentralBowling TownshipBowlingMidwestPreemption TownshipPreemptionSouth Rock Island TownshipS Rock IsSouth Moline TownshipS MolineDavenport, Moline, and Rock Island Metro AreaDavenportCambridge TownshipCambridgeBlackhawk TownshipBlackhawkDavenportAnnawan TownshipAnnawanWinfield TownshipWinfieldGreene TownshipGrnGalva TownshipGalvaGeneseo Community Unit School District 228Geneseo 228Rivoli TownshipRivoliBlue Grass TownshipBlue GrassCoal Valley TownshipCoal VlyEdgington TownshipEdgingtonMercer TownshipMercerAndover TownshipAndoverPrinceton TownshipPrincetonGeneseo TownshipGeneseoHanna TownshipHannaOxford TownshipOxfordAndalusia TownshipAndalusiaBuffalo Prairie TownshipBuffalo PrairieRichland Grove TownshipRichland GrvPort Byron TownshipPort ByronCordova TownshipCordovaSheridan TownshipSheridanPhenix TownshipPhenixCoe TownshipEdford TownshipEdfordWestern TownshipWClover TownshipCloverRural TownshipRuralButler TownshipButlerPleasant Valley TownshipPleasant VlyLynn TownshipLe Claire TownshipLe ClaireDrury TownshipDrury23.126099%23.126099%23.1%1,447119.191919%19.191919%19.2%133215.844372%15.844372%15.8%2,476315.735933%15.735933%15.7%1,485415.478261%15.478261%15.5%89515.393110%15.393110%15.4%697615.341702%15.341702%15.3%110714.745763%14.745763%14.7%435814.473868%14.473868%14.5%2,077913.020590%13.020590%13.0%27,818,38027.8M12.312812%12.312812%12.3%741011.703119%11.703119%11.7%1,008,6081.01M11.098840%11.098840%11.1%3,81911.064718%11.064718%11.1%1061110.959583%10.959583%11.0%4421210.719464%10.719464%10.7%3,363,7843.36M10.692068%10.692068%10.7%2751310.244520%10.244520%10.2%4,641,8354.64M10.124611%10.124611%10.1%130149.721818%9.721818%9.7%1,335159.414439%9.414439%9.4%2,402169.275401%9.275401%9.3%24,25124.3k9.196035%9.196035%9.2%167178.880517%8.880517%8.9%660188.840661%8.840661%8.8%5,980198.449074%8.449074%8.4%73207.475944%7.475944%7.5%101217.329843%7.329843%7.3%70227.016658%7.016658%7.0%139236.944821%6.944821%6.9%7696.929638%6.929638%6.9%65246.759907%6.759907%6.8%174256.495828%6.495828%6.5%218266.336634%6.336634%6.3%64276.313219%6.313219%6.3%181286.231003%6.231003%6.2%41296.141249%6.141249%6.1%60305.779781%5.779781%5.8%295315.586249%5.586249%5.6%91325.528256%5.528256%5.5%45335.472038%5.472038%5.5%91345.335366%5.335366%5.3%35355.123457%5.123457%5.1%83364.928910%4.928910%4.9%52374.559748%4.559748%4.6%29384.423721%4.423721%4.4%185394.265403%4.265403%4.3%45404.163197%4.163197%4.2%50413.983229%3.983229%4.0%19423.944204%3.944204%3.9%82433.693931%3.693931%3.7%28443.518268%3.518268%3.5%26453.431570%3.431570%3.4%85462.709515%2.709515%2.7%688472.345059%2.345059%2.3%14482.245773%2.245773%2.2%89491.372213%1.372213%1.4%850
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Hanna Township, selected other county subdivisions in the Davenport Area, and entities that contain the Hanna Township
0%10%20%30%40%Count#Pleasant Valley TownshipPleasant VlyPhenix TownshipPhenixCoe TownshipLe Claire TownshipLe ClaireLynn TownshipWinfield TownshipWinfieldIllinoisDrury TownshipDrurySheridan TownshipSheridanGeneseo TownshipGeneseoButler TownshipButlerUnited States of AmericaUnited StatesCoal Valley TownshipCoal VlyGeneseo Community Unit School District 228Geneseo 228Hanna TownshipHannaMidwestEdford TownshipEdfordEast North CentralSouth Moline TownshipS MolineDavenportDavenport, Moline, and Rock Island Metro AreaDavenportAllens Grove TownshipAllens GrvRichland Grove TownshipRichland GrvBuffalo TownshipBuffaloAnnawan TownshipAnnawanSouth Rock Island TownshipS Rock IsPrinceton TownshipPrincetonCanoe Creek TownshipCanoe CrkRural TownshipRuralPort Byron TownshipPort ByronMercer TownshipMercerMoline TownshipMolineWestern TownshipWOxford TownshipOxfordGalva TownshipGalvaHenry CountyHenryWethersfield TownshipWethersfieldBlue Grass TownshipBlue GrassEdgington TownshipEdgingtonAndalusia TownshipAndalusiaBlackhawk TownshipBlackhawkColona TownshipColonaRivoli TownshipRivoliPreemption TownshipPreemptionRock Island TownshipRock IsBowling TownshipBowlingHampton TownshipHamptonCambridge TownshipCambridgeClover TownshipCloverBuffalo Prairie TownshipBuffalo PrairieAtkinson TownshipAtkinsonGreene TownshipGrnKewanee TownshipKewaneeAndover TownshipAndoverCordova TownshipCordovaNew Boston TownshipNew BostonLincoln TownshipLincoln48.570416%48.570416%48.6%12,33312.3k146.540284%46.540284%46.5%491238.384679%38.384679%38.4%461336.260409%36.260409%36.3%1,437435.845896%35.845896%35.8%214535.529238%35.529238%35.5%480632.893660%32.893660%32.9%2,834,8692.83M32.761578%32.761578%32.8%191732.759445%32.759445%32.8%1,370831.739812%31.739812%31.7%1,620931.408962%31.408962%31.4%7781030.315023%30.315023%30.3%64,767,78764.8M29.797378%29.797378%29.8%1,0001129.558385%29.558385%29.6%3,27329.036219%29.036219%29.0%4731228.952816%28.952816%29.0%13,118,64213.1M28.721174%28.721174%28.7%1371328.462853%28.462853%28.5%8,931,6868.93M26.753939%26.753939%26.8%6,8261426.697910%26.697910%26.7%18,05918.1k1526.094357%26.094357%26.1%68,22568.2k25.974026%25.974026%26.0%1801625.493827%25.493827%25.5%4131725.142574%25.142574%25.1%1,0141824.189815%24.189815%24.2%2091924.024177%24.024177%24.0%3,2992023.950870%23.950870%24.0%2342123.826087%23.826087%23.8%1372223.680650%23.680650%23.7%1752323.033175%23.033175%23.0%2432421.939309%21.939309%21.9%6292521.917195%21.917195%21.9%3,4252621.837422%21.837422%21.8%4542721.744472%21.744472%21.7%1772821.302373%21.302373%21.3%4222921.270598%21.270598%21.3%7,31920.203390%20.203390%20.2%5963020.007770%20.007770%20.0%5153118.910891%18.910891%18.9%1913218.460613%18.460613%18.5%3073318.339612%18.339612%18.3%1,3633418.330389%18.330389%18.3%8303517.697228%17.697228%17.7%1663617.523364%17.523364%17.5%2253717.357211%17.357211%17.4%1,6383816.757387%16.757387%16.8%4313916.048780%16.048780%16.0%2,3034015.859031%15.859031%15.9%2884115.171504%15.171504%15.2%1154213.567073%13.567073%13.6%894312.839248%12.839248%12.8%1234411.413613%11.413613%11.4%1094511.331309%11.331309%11.3%7094611.246201%11.246201%11.2%744711.006289%11.006289%11.0%704810.599721%10.599721%10.6%76499.151414%9.151414%9.2%5550
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Hanna Township, selected other county subdivisions in the Davenport Area, and entities that contain the Hanna Township
0%1%2%3%4%5%Count#Pleasant Valley TownshipPleasant VlyLe Claire TownshipLe ClaireCoe TownshipIllinoisUnited States of AmericaUnited StatesPhenix TownshipPhenixCoal Valley TownshipCoal VlyWethersfield TownshipWethersfieldMidwestWinfield TownshipWinfieldEast North CentralDrury TownshipDruryAllens Grove TownshipAllens GrvBuffalo Prairie TownshipBuffalo PrairieRural TownshipRuralPreemption TownshipPreemptionColona TownshipColonaHanna TownshipHannaDavenport, Moline, and Rock Island Metro AreaDavenportDavenportSouth Moline TownshipS MolineSouth Rock Island TownshipS Rock IsPort Byron TownshipPort ByronRock Island TownshipRock IsGalva TownshipGalvaEdgington TownshipEdgingtonMoline TownshipMolineGeneseo Community Unit School District 228Geneseo 228Buffalo TownshipBuffaloSheridan TownshipSheridanRichland Grove TownshipRichland GrvHenry CountyHenryWestern TownshipWAndover TownshipAndoverLynn TownshipGeneseo TownshipGeneseoBlue Grass TownshipBlue GrassHampton TownshipHamptonBowling TownshipBowlingMercer TownshipMercerAndalusia TownshipAndalusiaPrinceton TownshipPrincetonOxford TownshipOxfordButler TownshipButlerBlackhawk TownshipBlackhawkCordova TownshipCordovaAtkinson TownshipAtkinsonClover TownshipCloverKewanee TownshipKewaneeCambridge TownshipCambridgeRivoli TownshipRivoliAnnawan TownshipAnnawanGreene TownshipGrnCanoe Creek TownshipCanoe CrkNew Boston TownshipNew BostonLincoln TownshipLincolnEdford TownshipEdford5.533239%5.533239%5.5%1,40515.374716%5.374716%5.4%21324.329725%4.329725%4.3%5233.366505%3.366505%3.4%290,135290k3.336158%3.336158%3.3%7,127,6737.13M3.222749%3.222749%3.2%3443.218117%3.218117%3.2%10853.016949%3.016949%3.0%8962.893416%2.893416%2.9%1,311,0191.31M2.886751%2.886751%2.9%3972.855432%2.855432%2.9%896,039896k2.744425%2.744425%2.7%1682.741703%2.741703%2.7%1992.591463%2.591463%2.6%17102.571042%2.571042%2.6%19112.570093%2.570093%2.6%33122.473498%2.473498%2.5%112132.455494%2.455494%2.5%40142.156777%2.156777%2.2%5,6392.105201%2.105201%2.1%1,424152.049855%2.049855%2.0%523161.900670%1.900670%1.9%261171.895735%1.895735%1.9%20181.716647%1.716647%1.7%162191.716305%1.716305%1.7%34201.683168%1.683168%1.7%17211.618993%1.618993%1.6%253221.580421%1.580421%1.6%1751.537317%1.537317%1.5%62231.482544%1.482544%1.5%62241.481481%1.481481%1.5%24251.447296%1.447296%1.4%4981.443001%1.443001%1.4%30261.367781%1.367781%1.4%9271.340034%1.340034%1.3%8281.332288%1.332288%1.3%68291.282051%1.282051%1.3%33301.212544%1.212544%1.2%174311.205288%1.205288%1.2%31321.185909%1.185909%1.2%34331.142514%1.142514%1.1%19341.023541%1.023541%1.0%10350.859951%0.859951%0.9%7360.847800%0.847800%0.8%21370.834230%0.834230%0.8%62380.628931%0.628931%0.6%4390.313152%0.313152%0.3%3400.263852%0.263852%0.3%2410.239732%0.239732%0.2%15420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%0.000000%0.0%0480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#31

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Hanna Township, selected other county subdivisions in the Davenport Area, and entities that contain the Hanna Township
Female
Male
10x5x0x5x10xFM#DruryBuffalo PrairieButlerCambridgeEdgingtonLincolnSheridanWPhenixLe ClaireHannaWinfieldLynn TownshipPrincetonGalvaAnnawanNew BostonKewaneeCoal VlyS Rock IsHamptonMercerHenryCloverBlue GrassWethersfieldEdfordGeneseo 228BlackhawkRivoliMidwestDavenportEast North CentralIllinoisUnited StatesDavenportColonaCordovaS MolineMolineGrnAllens GrvRock IsPleasant VlyRichland GrvAndalusiaPreemptionAtkinsonBowlingCanoe CrkGeneseoRuralBuffaloPort ByronCoe TownshipOxfordAndover-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.089%3.09%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.642%9.64%2-1.000000x-1.000000x8.616639x8.616639x8.62x0.719%0.72%6.199%6.20%3-1.000000x-1.000000x5.564918x5.564918x5.56x2.737%2.74%15.229%15.2%4-1.000000x-1.000000x5.362495x5.362495x5.36x2.068%2.07%11.088%11.1%5-1.000000x-1.000000x4.720280x4.720280x4.72x4.444%4.44%20.979%21.0%6-1.000000x-1.000000x4.053070x4.053070x4.05x1.794%1.79%7.271%7.27%7-1.000000x-1.000000x3.886575x3.886575x3.89x1.622%1.62%6.305%6.30%8-1.000000x-1.000000x3.631103x3.631103x3.63x1.793%1.79%6.510%6.51%9-1.000000x-1.000000x2.586746x2.586746x2.59x1.240%1.24%3.207%3.21%10-1.000000x-1.000000x2.406627x2.406627x2.41x3.254%3.25%7.831%7.83%11-1.000000x-1.000000x2.380616x2.380616x2.38x4.299%4.30%10.235%10.2%12-1.000000x-1.000000x1.997173x1.997173x2.00x1.592%1.59%3.180%3.18%13-1.000000x-1.000000x1.922917x1.922917x1.92x4.225%4.23%8.125%8.13%14-1.000000x-1.000000x1.663974x1.663974x1.66x5.305%5.30%8.827%8.83%15-1.000000x-1.000000x1.494326x1.494326x1.49x6.803%6.80%10.165%10.2%16-1.000000x-1.000000x1.461572x1.461572x1.46x12.567%12.6%18.367%18.4%17-1.000000x-1.000000x1.401267x1.401267x1.40x19.346%19.3%27.109%27.1%18-1.000000x-1.000000x1.282763x1.282763x1.28x5.708%5.71%7.322%7.32%19-1.000000x-1.000000x1.279184x1.279184x1.28x8.617%8.62%11.023%11.0%20-1.000000x-1.000000x1.261825x1.261825x1.26x12.797%12.8%16.147%16.1%21-1.000000x-1.000000x1.241030x1.241030x1.24x5.663%5.66%7.028%7.03%22-1.000000x-1.000000x1.240815x1.240815x1.24x9.931%9.93%12.323%12.3%-1.000000x-1.000000x1.225316x1.225316x1.23x3.306%3.31%4.051%4.05%23-1.000000x-1.000000x1.197649x1.197649x1.20x6.170%6.17%7.390%7.39%24-1.000000x-1.000000x1.177419x1.177419x1.18x13.699%13.7%16.129%16.1%25-1.000000x-1.000000x1.177043x1.177043x1.18x3.636%3.64%4.280%4.28%26-1.000000x-1.000000x1.154491x1.154491x1.15x6.448%6.45%7.444%7.44%-1.000000x-1.000000x1.153443x1.153443x1.15x8.276%8.28%9.545%9.55%27-1.000000x-1.000000x1.130136x1.130136x1.13x6.488%6.49%7.332%7.33%28-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.126332x1.126332x1.13x8.740%8.74%9.844%9.84%-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-1.000000x1.096081x1.096081x1.10x8.447%8.45%9.259%9.26%29-1.000000x-1.000000x1.072059x1.072059x1.07x14.874%14.9%15.945%15.9%30-1.000000x-1.000000x1.064711x1.064711x1.06x4.416%4.42%4.702%4.70%31-1.001368x-1.001368x1.00x1.000000x1.000000x9.421%9.42%9.408%9.41%32-1.024106x-1.024106x1.02x1.000000x1.000000x16.035%16.0%15.657%15.7%33-1.027601x-1.027601x1.03x1.000000x1.000000x7.431%7.43%7.231%7.23%34-1.039378x-1.039378x1.04x1.000000x1.000000x19.578%19.6%18.837%18.8%35-1.046188x-1.046188x1.05x1.000000x1.000000x16.088%16.1%15.378%15.4%36-1.053887x-1.053887x1.05x1.000000x1.000000x2.776%2.78%2.634%2.63%37-1.073602x-1.073602x1.07x1.000000x1.000000x5.310%5.31%4.946%4.95%38-1.231294x-1.231294x1.23x1.000000x1.000000x6.028%6.03%4.896%4.90%39-1.250109x-1.250109x1.25x1.000000x1.000000x11.176%11.2%8.940%8.94%40-1.289296x-1.289296x1.29x1.000000x1.000000x12.424%12.4%9.636%9.64%41-1.293777x-1.293777x1.29x1.000000x1.000000x12.040%12.0%9.306%9.31%42-1.365651x-1.365651x1.37x1.000000x1.000000x17.895%17.9%13.103%13.1%43-1.639875x-1.639875x1.64x1.000000x1.000000x7.121%7.12%4.343%4.34%44-1.823582x-1.823582x1.82x1.000000x1.000000x4.521%4.52%2.479%2.48%45-1.939848x-1.939848x1.94x1.000000x1.000000x14.362%14.4%7.404%7.40%46-2.170391x-2.170391x2.17x1.000000x1.000000x6.704%6.70%3.089%3.09%47-2.209199x-2.209199x2.21x1.000000x1.000000x5.573%5.57%2.523%2.52%48-3.001101x-3.001101x3.00x1.000000x1.000000x8.232%8.23%2.743%2.74%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x12.202%12.2%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Hanna Township, selected other county subdivisions in the Davenport Area, and entities that contain the Hanna Township
Female
Male
10x5x0x5x10xFM#BlackhawkGalvaAtkinsonOxfordAndoverSheridanBlue GrassAndalusiaButlerBowlingMercerCoal VlyColonaS Rock IsMolineGeneseoCoe TownshipWethersfieldPleasant VlyHenryEast North CentralRichland GrvMidwestPrincetonDavenportUnited StatesIllinoisLe ClaireHamptonDavenportPort ByronEdgingtonDruryGeneseo 228CordovaHannaS MolineWinfieldBuffalo PrairiePreemptionBuffaloWRuralRock IsKewaneeAllens GrvPhenixCloverLynn Township-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.751%1.75%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.531%3.53%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.642%0.64%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.746%1.75%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.795%2.80%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.138%0.14%2.938%2.94%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.226%0.23%2.410%2.41%7-1.000000x-1.000000x8.801714x8.801714x8.80x0.236%0.24%2.081%2.08%8-1.000000x-1.000000x4.336664x4.336664x4.34x0.320%0.32%1.387%1.39%9-1.000000x-1.000000x4.284963x4.284963x4.28x0.460%0.46%1.972%1.97%10-1.000000x-1.000000x4.238339x4.238339x4.24x0.466%0.47%1.977%1.98%11-1.000000x-1.000000x4.095125x4.095125x4.10x1.281%1.28%5.247%5.25%12-1.000000x-1.000000x3.515647x3.515647x3.52x1.114%1.11%3.918%3.92%13-1.000000x-1.000000x2.665121x2.665121x2.67x1.077%1.08%2.871%2.87%14-1.000000x-1.000000x2.573453x2.573453x2.57x0.903%0.90%2.324%2.32%15-1.000000x-1.000000x2.240260x2.240260x2.24x0.833%0.83%1.867%1.87%16-1.000000x-1.000000x2.021622x2.021622x2.02x2.941%2.94%5.946%5.95%17-1.000000x-1.000000x1.944816x1.944816x1.94x2.144%2.14%4.170%4.17%18-1.000000x-1.000000x1.799036x1.799036x1.80x4.031%4.03%7.251%7.25%19-1.000000x-1.000000x1.642851x1.642851x1.64x1.102%1.10%1.810%1.81%-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.590269x1.590269x1.59x1.138%1.14%1.809%1.81%20-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.553125x1.553125x1.55x0.805%0.80%1.250%1.25%21-1.000000x-1.000000x1.539221x1.539221x1.54x1.710%1.71%2.632%2.63%-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-1.000000x1.495949x1.495949x1.50x4.287%4.29%6.413%6.41%22-1.000000x-1.000000x1.316693x1.316693x1.32x1.047%1.05%1.378%1.38%23-1.000000x-1.000000x1.295510x1.295510x1.30x1.841%1.84%2.386%2.39%24-1.000000x-1.000000x1.267053x1.267053x1.27x1.676%1.68%2.124%2.12%25-1.000000x-1.000000x1.252092x1.252092x1.25x1.504%1.50%1.883%1.88%26-1.000000x-1.000000x1.250965x1.250965x1.25x2.469%2.47%3.089%3.09%27-1.005847x-1.005847x1.01x1.000000x1.000000x1.585%1.59%1.576%1.58%-1.006309x-1.006309x1.01x1.000000x1.000000x0.631%0.63%0.627%0.63%28-1.038798x-1.038798x1.04x1.000000x1.000000x2.503%2.50%2.410%2.41%29-1.045781x-1.045781x1.05x1.000000x1.000000x2.093%2.09%2.002%2.00%30-1.093710x-1.093710x1.09x1.000000x1.000000x3.025%3.03%2.766%2.77%31-1.101251x-1.101251x1.10x1.000000x1.000000x2.730%2.73%2.479%2.48%32-1.205462x-1.205462x1.21x1.000000x1.000000x2.794%2.79%2.318%2.32%33-1.416089x-1.416089x1.42x1.000000x1.000000x1.795%1.80%1.268%1.27%34-1.475668x-1.475668x1.48x1.000000x1.000000x1.718%1.72%1.164%1.16%35-1.655015x-1.655015x1.66x1.000000x1.000000x3.191%3.19%1.928%1.93%36-1.863798x-1.863798x1.86x1.000000x1.000000x2.229%2.23%1.196%1.20%37-1.898442x-1.898442x1.90x1.000000x1.000000x0.312%0.31%0.164%0.16%38-3.044578x-3.044578x3.04x1.000000x1.000000x4.217%4.22%1.385%1.39%39-5.140770x-5.140770x5.14x1.000000x1.000000x5.578%5.58%1.085%1.08%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.551%0.55%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.548%2.55%0.000%0%42
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 42 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 Hanna Township to the 50 most populous county subdivisions in Illinois and to those entities that contain or substantially overlap with the Hanna Township. The least populous of the compared county subdivisions has a population of 54,812.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Hanna Township, selected other county subdivisions in Illinois, and entities that contain the Hanna Township
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 TownshipMaineHenry CountyHenryEast North CentralWorth TownshipWorthBremen TownshipBremenMidwestNiles TownshipNilesDavenport, Moline, and Rock Island Metro AreaDavenportCapital TownshipCapitalPalos TownshipPalosWayne TownshipWayneWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgPlainfield TownshipPlainfieldWarren TownshipWarrenGeneseo Community Unit School District 228Geneseo 228Rich TownshipEvanston TownshipEvanstonOrland TownshipOrlandAlgonquin TownshipAlgonquinHanna TownshipHannaYork TownshipMilton TownshipMiltonBloomington City TownshipBloomington CityChampaign City TownshipChampaign CityFrankfort TownshipFrankfortNaperville TownshipNapervilleDowners Grove TownshipDowners GrvNorthfield TownshipNorthfieldLisle TownshipLisleVernon TownshipVernonWheatland TownshipWheatlandNew 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%10,96511.0k2311.098840%11.098840%11.1%3,81910.719464%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%7,659269.275401%9.275401%9.3%24,25124.3k8.623103%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%2,900346.944821%6.944821%6.9%7696.047812%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%3,411385.586249%5.586249%5.6%915.461095%5.461095%5.5%4,715395.266517%5.266517%5.3%4,126404.581501%4.581501%4.6%2,334414.499493%4.499493%4.5%2,087424.232189%4.232189%4.2%1,639434.145125%4.145125%4.1%2,742444.020265%4.020265%4.0%4,166453.621021%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%1,488491.433130%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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Hanna Township, selected other county subdivisions in Illinois, and entities that contain the Hanna Township
0%20%40%60%80%Count#New Trier TownshipNew TrierVernon TownshipVernonEvanston TownshipEvanstonNorthfield TownshipNorthfieldWheatland TownshipWheatlandNaperville TownshipNapervilleMilton TownshipMiltonLisle TownshipLisleDowners Grove TownshipDowners GrvChampaign City TownshipChampaign CityPalatine TownshipPalatineYork TownshipBloomington City TownshipBloomington CityWheeling TownshipWheelingNiles TownshipNilesWarren TownshipWarrenFrankfort TownshipFrankfortSchaumburg TownshipSchaumburgWayne TownshipWayneMaine TownshipMaineAlgonquin TownshipAlgonquinOrland TownshipOrlandRich TownshipLyons TownshipLyonsChicagoCapital TownshipCapitalDu Page TownshipDu PageElk Grove TownshipElk GrvPlainfield TownshipPlainfieldIllinoisBloomingdale TownshipBloomingdaleHanover TownshipHanoverUnited States of AmericaUnited StatesPalos TownshipPalosGeneseo Community Unit School District 228Geneseo 228Peoria City TownshipPeoria CityAvon TownshipHanna TownshipHannaMidwestDundee TownshipDundeeEast North CentralProviso TownshipProvisoDavenport, Moline, and Rock Island Metro AreaDavenportWorth TownshipWorthElgin TownshipElginAddison TownshipAddisonBremen TownshipBremenLockport TownshipLockportBloom TownshipBloomRockford TownshipRockfordHenry CountyHenryBerwyn 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%24,23424.2k1049.860853%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%18,27618.3k1939.511462%39.511462%39.5%38,91838.9k2039.087672%39.087672%39.1%23,05023.1k2138.394701%38.394701%38.4%26,95527.0k2237.195076%37.195076%37.2%19,82219.8k2336.653116%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%20,41420.4k2735.212579%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%25,12725.1k3030.758450%30.758450%30.8%20,41120.4k3130.315023%30.315023%30.3%64,767,78764.8M29.633591%29.633591%29.6%11,63811.6k3229.558385%29.558385%29.6%3,27329.457073%29.457073%29.5%19,61919.6k3329.196640%29.196640%29.2%11,60811.6k3429.036219%29.036219%29.0%47328.952816%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%27,03327.0k3626.094357%26.094357%26.1%68,22568.2k25.217641%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%25,23525.2k4321.270598%21.270598%21.3%7,31921.245931%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#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Hanna Township, selected other county subdivisions in Illinois, and entities that contain the Hanna Township
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 TownshipWheelingIllinoisUnited States of AmericaUnited StatesPeoria City TownshipPeoria CityPalos TownshipPalosMidwestDu Page TownshipDu PageEast North CentralSchaumburg TownshipSchaumburgElk Grove TownshipElk GrvHanna TownshipHannaWayne TownshipWayneAlgonquin TownshipAlgonquinAvon TownshipProviso TownshipProvisoDavenport, Moline, and Rock Island Metro AreaDavenportBloomingdale TownshipBloomingdaleRockford TownshipRockfordWorth TownshipWorthHanover TownshipHanoverBremen TownshipBremenBloom TownshipBloomBerwyn TownshipBerwynGeneseo Community Unit School District 228Geneseo 228Plainfield TownshipPlainfieldDundee TownshipDundeeAddison TownshipAddisonHenry CountyHenryElgin 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%290,135290k3.336158%3.336158%3.3%7,127,6737.13M3.226630%3.226630%3.2%2,149243.195580%3.195580%3.2%1,255252.893416%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%1,670282.455494%2.455494%2.5%402.359543%2.359543%2.4%1,068292.348652%2.348652%2.3%1,385302.303939%2.303939%2.3%916312.213918%2.213918%2.2%2,281322.156777%2.156777%2.2%5,6392.113682%2.113682%2.1%1,628332.067272%2.067272%2.1%2,416341.958049%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%571391.580421%1.580421%1.6%1751.564534%1.564534%1.6%757401.545248%1.545248%1.5%634411.506834%1.506834%1.5%914421.447296%1.447296%1.4%4981.412882%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#36

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Hanna Township, selected other county subdivisions in Illinois, and entities that contain the Hanna Township
Female
Male
1x0x1x2xFM#HannaPlainfieldLockportNapervilleBremenBloomAvon TownshipRich TownshipHenryDu PageThorntonJolietProvisoRockfordBerwynGeneseo 228PalosElginElk GrvMidwestDavenportEast North CentralWarrenPeoria CityIllinoisUnited StatesWorthAuroraWheelingHanoverSchaumburgBloomington CityLeydenAddisonChicagoCiceroPalatineCapitalLyonsYork TownshipBloomingdaleFrankfortDundeeWaukeganAlgonquinNilesLisleWayneChampaign CityDowners GrvEvanstonMiltonMaineNew TrierOrlandNorthfieldVernonWheatland-1.000000x-1.000000x2.406627x2.406627x2.41x3.254%3.25%7.831%7.83%-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-1.000000x1.372139x1.372139x1.37x3.520%3.52%4.830%4.83%3-1.000000x-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-1.000000x1.240815x1.240815x1.24x9.931%9.93%12.323%12.3%-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-1.000000x1.154491x1.154491x1.15x6.448%6.45%7.444%7.44%-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-1.000000x1.126332x1.126332x1.13x8.740%8.74%9.844%9.84%-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-1.000000x1.039581x1.039581x1.04x8.233%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%38-1.073696x-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
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#37

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Hanna Township, selected other county subdivisions in Illinois, and entities that contain the Hanna Township
Female
Male
1x0x1x2xFM#OrlandNorthfieldRockfordBloomington CityElginPeoria CityCapitalNew TrierDowners GrvVernonNilesLisleYork TownshipFrankfortMaineAvon TownshipBloomWheelingLyonsMiltonLeydenHenryPalosEast North CentralEvanstonMidwestBloomingdaleWheatlandChampaign CityAuroraDavenportNapervilleUnited StatesIllinoisPalatineSchaumburgPlainfieldWayneAddisonWarrenDundeeBremenChicagoJolietHanoverWaukeganLockportWorthElk GrvDu PageProvisoRich TownshipAlgonquinGeneseo 228BerwynHannaCiceroThornton-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-1.000000x1.901348x1.901348x1.90x2.990%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-1.000000x1.642851x1.642851x1.64x1.102%1.10%1.810%1.81%-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-1.000000x1.580953x1.580953x1.58x4.824%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-1.000000x1.539221x1.539221x1.54x1.710%1.71%2.632%2.63%-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%47-1.005847x-1.005847x1.01x1.000000x1.000000x1.585%1.59%1.576%1.58%-1.023718x-1.023718x1.02x1.000000x1.000000x1.607%1.61%1.570%1.57%48-1.038798x-1.038798x1.04x1.000000x1.000000x2.503%2.50%2.410%2.41%-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 Hanna Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Hanna Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Hanna Township, selected other county subdivisions in the Midwest, and entities that contain the Hanna Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleIllinoisColumbusMaine TownshipMaineHenry CountyHenryTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsDavenport, Moline, and Rock Island Metro AreaDavenportCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnGeneseo Community Unit School District 228Geneseo 228Washington TownshipWashingtonOlatheFargoCedar RapidsHanna TownshipHannaYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.703119%11.703119%11.7%1,008,6081.01M11.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.098840%11.098840%11.1%3,81911.032803%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%9,123349.275401%9.275401%9.3%24,25124.3k8.623103%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%11,88611.9k396.944821%6.944821%6.9%7696.804680%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%5,099435.586249%5.586249%5.6%915.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Hanna Township, selected other county subdivisions in the Midwest, and entities that contain the Hanna Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsIllinoisBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsGeneseo Community Unit School District 228Geneseo 228Hanna TownshipHannaMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoDavenport, Moline, and Rock Island Metro AreaDavenportWorth TownshipWorthMilwaukeeRockford TownshipRockfordHenry CountyHenryAkronCenter 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%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.893660%32.893660%32.9%2,834,8692.83M32.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2929.558385%29.558385%29.6%3,27329.036219%29.036219%29.0%47328.952816%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%27,03327.0k3426.094357%26.094357%26.1%68,22568.2k25.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3721.270598%21.270598%21.3%7,31920.213821%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#40

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Hanna Township, selected other county subdivisions in the Midwest, and entities that contain the Hanna Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingIllinoisColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaHanna TownshipHannaProviso TownshipProvisoAkronDavenport, Moline, and Rock Island Metro AreaDavenportBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoGeneseo Community Unit School District 228Geneseo 228North TownshipNHenry CountyHenrySterling 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%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%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%6,260322.455494%2.455494%2.5%402.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.156777%2.156777%2.2%5,6392.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.580421%1.580421%1.6%1751.575684%1.575684%1.6%1,606411.447296%1.447296%1.4%4981.439893%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#41

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Hanna Township, selected other county subdivisions in the Midwest, and entities that contain the Hanna Township
Female
Male
1x0x1x2xFM#HannaCedar RapidsHenryLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipGeneseo 228WayneMidwestDavenportTopekaEast North CentralMilwaukeeKaw TownshipDaytonIllinoisSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.406627x2.406627x2.41x3.254%3.25%7.831%7.83%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.240815x1.240815x1.24x9.931%9.93%12.323%12.3%-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-1.000000x1.154491x1.154491x1.15x6.448%6.45%7.444%7.44%-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-1.000000x1.126332x1.126332x1.13x8.740%8.74%9.844%9.84%-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-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#42

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Hanna Township, selected other county subdivisions in the Midwest, and entities that contain the Hanna Township
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaHenryFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraDavenportUnited StatesAnn ArborIllinoisTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoGeneseo 228HannaThornton-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.642851x1.642851x1.64x1.102%1.10%1.810%1.81%-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-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.539221x1.539221x1.54x1.710%1.71%2.632%2.63%-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%49-1.005847x-1.005847x1.01x1.000000x1.000000x1.585%1.59%1.576%1.58%-1.038798x-1.038798x1.04x1.000000x1.000000x2.503%2.50%2.410%2.41%-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 Hanna Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Hanna Township. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Hanna Township, selected other county subdivisions in the United States, and entities that contain the Hanna Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueIllinoisTownship 1:Charlotte1, CharlotteColumbusTulsaHenry CountyHenryEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaDavenport, Moline, and Rock Island Metro AreaDavenportSeattleNortheast TarrantNE TarrantGeneseo Community Unit School District 228Geneseo 228PlanoHanna TownshipHannaSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.703119%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%43,65343.7k4111.098840%11.098840%11.1%3,81910.719464%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%37,37337.4k469.275401%9.275401%9.3%24,25124.3k8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k486.944821%6.944821%6.9%7695.714681%5.714681%5.7%20,64420.6k495.586249%5.586249%5.6%914.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Hanna Township, selected other county subdivisions in the United States, and entities that contain the Hanna Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityIllinoisAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonBaltimoreGeneseo Community Unit School District 228Geneseo 228Long Beach-LakewoodLong Bch-LakewoodHanna TownshipHannaMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaDavenport, Moline, and Rock Island Metro AreaDavenportMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasHenry CountyHenryEl 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%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.893660%32.893660%32.9%2,834,8692.83M32.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.719611%29.719611%29.7%125,423125k3129.558385%29.558385%29.6%3,27329.113198%29.113198%29.1%109,693110k3229.036219%29.036219%29.0%47328.952816%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%272,786273k3926.094357%26.094357%26.1%68,22568.2k26.011156%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%271,037271k4521.270598%21.270598%21.3%7,31921.071885%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#45

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 Hanna Township, selected other county subdivisions in the United States, and entities that contain the Hanna Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoIllinoisColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyHanna TownshipHannaOntarioFort WorthDavenport, Moline, and Rock Island Metro AreaDavenportLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxGeneseo Community Unit School District 228Geneseo 228Henry CountyHenryDetroit12.461852%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%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%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%15,54715.5k402.455494%2.455494%2.5%402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.156777%2.156777%2.2%5,6392.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.580421%1.580421%1.6%1751.447296%1.447296%1.4%4981.318660%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#46

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 Hanna Township, selected other county subdivisions in the United States, and entities that contain the Hanna Township
Female
Male
1x0x1x2xFM#Hanna1, CharlotteHenryDetroitBaltimoreTulsaSW DallasGeneseo 228MidwestFresnoDavenportEast North CentralMilwaukeeIllinoisUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x2.406627x2.406627x2.41x3.254%3.25%7.831%7.83%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.240815x1.240815x1.24x9.931%9.93%12.323%12.3%-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-1.000000x1.154491x1.154491x1.15x6.448%6.45%7.444%7.44%-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-1.000000x1.126332x1.126332x1.13x8.740%8.74%9.844%9.84%-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-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#47

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 Hanna Township, selected other county subdivisions in the United States, and entities that contain the Hanna Township
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixHenryTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlDavenportSan DiegoUnited StatesSan JoseIllinoisHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitGeneseo 228Hanna-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.642851x1.642851x1.64x1.102%1.10%1.810%1.81%-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-1.000000x1.579303x1.579303x1.58x2.100%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-1.000000x1.539221x1.539221x1.54x1.710%1.71%2.632%2.63%-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%50-1.005847x-1.005847x1.01x1.000000x1.000000x1.585%1.59%1.576%1.58%-1.038798x-1.038798x1.04x1.000000x1.000000x2.503%2.50%2.410%2.41%
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:
Henry
Metro Area:
Davenport Area
Village:
Cleveland
ZIP Codes:
61241, 61254
Unified School District:
Geneseo 228
Congressional District:
IL-17
State Senate Districts:
IL-36, IL-37
State House Districts:
IL-71, IL-74
Neighboring Townships:
Canoe Creek, Colona, Edford, Geneseo, Hampton, Phenix, Zuma
Nearby Townships:
Coal Valley, Coe, Erie, Le Claire, Munson, Osco, Pleasant Valley, Port Byron, South Moline, Western