Educational Attainment in the Princeton Township, Bureau County, Illinois (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Bureau County and the Princeton Township
Princeton Township
Bureau County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma234.534257%28.621878%34.534257%34.5%2,24358.737490%62.103759%58.737490%58.7%3,8156.728253%9.274363%6.728253%6.7%437
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 Bureau County at large.
Scope: population of Bureau County and the Princeton Township
-20%0%+20%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma220.656851%20.656851%+20.7%34.534%34.5%28.622%28.6%-5.420394%-5.420394%-5.4%58.737%58.7%62.104%62.1%-27.453212%-27.453212%-27.5%6.728%6.73%9.274%9.27%
% percentage with given level in the Princeton Township
ref. percentage with given level in Bureau 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 Bureau County and the Princeton Township
Princeton Township
Bureau County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.062356%0.609602%1.062356%1.1%691.955350%1.164551%1.955350%2.0%1278.344881%4.750694%8.344881%8.3%54214.441878%12.280333%14.441878%14.4%9388.729792%9.816699%8.729792%8.7%56722.540416%23.072396%22.540416%22.5%1,46436.197075%39.031363%36.197075%36.2%2,3515.650500%6.697217%5.650500%5.7%3670.600462%1.917094%0.600462%0.6%390.477290%0.660052%0.477290%0.5%31
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 Bureau County at large.
Scope: population of Bureau County and the Princeton Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None74.270287%74.270287%+74.3%1.062%1.06%0.610%0.61%67.905998%67.905998%+67.9%1.955%1.96%1.165%1.16%75.656046%75.656046%+75.7%8.345%8.34%4.751%4.75%17.601684%17.601684%+17.6%14.442%14.4%12.280%12.3%-11.072019%-11.072019%-11.1%8.730%8.73%9.817%9.82%-2.305698%-2.305698%-2.3%22.540%22.5%23.072%23.1%-7.261566%-7.261566%-7.3%36.197%36.2%39.031%39.0%-15.629126%-15.629126%-15.6%5.651%5.65%6.697%6.70%-68.678538%-68.678538%-68.7%0.600%0.60%1.917%1.92%-27.689011%-27.689011%-27.7%0.477%0.48%0.660%0.66%
% percentage with given level in the Princeton Township
ref. percentage with given level in Bureau 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 Bureau County and the Princeton Township
More Females More Males
Bureau County
Princeton Township
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-16.916588%-15.197560%-16.916588%17%36.902%36.9%31.563%31.6%6.823650%0.185745%6.823650%7%57.012%57.0%60.903%60.9%23.809186%53.150426%23.809186%24%6.086%6.09%7.535%7.53%
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 Bureau County and the Princeton Township
More Females More Males
Bureau County
Princeton Township
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None63.177083%73.676622%63.177083%63%0.830%0.83%1.354%1.35%387.600160%191.156079%387.600160%388%0.719%0.72%3.507%3.51%-40.638496%-57.477134%-40.638496%41%9.571%9.57%6.806%6.81%-18.551130%-13.332800%-18.551130%19%15.519%15.5%13.090%13.1%-50.800237%-21.257352%-50.800237%51%10.263%10.3%6.806%6.81%-14.278520%3.039490%3.039490%3%22.241%22.2%22.917%22.9%9.244067%8.493771%9.244067%9%34.772%34.8%37.986%38.0%15.663176%57.219725%15.663176%16%5.284%5.28%6.111%6.11%-79.253112%-79.253112%79%15.872935%0.747%0.75%0.417%0.42%1,000.000000%181.383055%1,000.000000%> 1000%0.055%0.06%1.007%1.01%
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 Bureau County and the Princeton Township
Princeton Township
Bureau County
0%5%10%15%20%B.X.Total65+45-6435-4425-3413.054067%10.255652%13.054067%13.1%2682,05313.540825%12.210394%13.540825%13.5%3352,47412.886049%10.221993%12.886049%12.9%12193920.796890%18.551782%20.796890%20.8%2141,029
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 Bureau County at large.
Scope: population of Bureau County and the Princeton Township
0%5%10%15%20%25%%ref.65+45-6435-4425-3427.286560%27.286560%27.3%13.054%13.1%10.256%10.3%10.895881%10.895881%10.9%13.541%13.5%12.210%12.2%26.062004%26.062004%26.1%12.886%12.9%10.222%10.2%12.101845%12.101845%12.1%20.797%20.8%18.552%18.6%
% percentage in the Princeton Township with a Bachelor's degree
ref percentage in Bureau 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 Bureau County and the Princeton Township
More Females More Males
Bureau County
Princeton Township
60%40%20%0%FM65+45-6435-4425-34-31.413669%-6.019228%-31.413669%31.4%14.462%14.5%11.005%11.0%-22.516560%-6.990283%-22.516560%22.5%14.742%14.7%12.033%12.0%-26.670379%-76.913589%-26.670379%26.7%14.477%14.5%11.429%11.4%-12.001266%3.768539%3.768539%3.8%20.455%20.5%21.225%21.2%
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 Bureau County and the Princeton Township
Princeton Township
Bureau County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$45,972.000000$53,571.000000$45,972.000000$46.0k73811.363%11.4%$35,260.000000$42,227.000000$35,260.000000$35.3k93814.442%14.4%$34,050.000000$33,519.000000$34,050.000000$34.1k2,03131.270%31.3%$22,540.000000$30,763.000000$22,540.000000$22.5k2,35136.197%36.2%$31,180.000000$34,180.000000$31,180.000000$31.2k6,495100.000%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 Bureau County and the Princeton Township
Female Male
Bureau County
Princeton Township
Shaded bar tips show excess over facing bar.
$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-42,093.000000$-44,485.000000$-42,093.000000$42.1k$42,093.000000$18,589.000000$44,485.000000$16,440.000000$60,682.000000$60.7k402336$-27,604.000000$-30,639.000000$-27,604.000000$27.6k$27,604.000000$30,999.000000$30,639.000000$30,611.000000$58,603.000000$58.6k561377$-27,167.000000$-25,890.000000$-27,167.000000$27.2k$27,167.000000$21,708.000000$25,890.000000$21,689.000000$48,875.000000$48.9k1,175856$-14,906.000000$-19,782.000000$-14,906.000000$14.9k$14,906.000000$21,982.000000$19,782.000000$20,497.000000$36,888.000000$36.9k1,2571,094$-2,499.000000$-11,012.000000$-2,499.000000$2.5k$2,499.000000$19,660.000000$11,012.000000$18,725.000000$22,159.000000$22.2k220217$-22,923.000000$-25,064.000000$-22,923.000000$22.9k$22,923.000000$18,961.000000$25,064.000000$18,437.000000$41,884.000000$41.9k3,6152,880
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 Bureau County and the Princeton Township
Princeton Township
Bureau County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.284281%81.984643%85.284281%85.3%1,02081.393820%80.343821%81.393820%81.4%1,23876.664469%75.544914%76.664469%76.7%1,16348.076923%58.469171%48.076923%48.1%100
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 Bureau County and the Princeton Township
Female Male
Bureau County
Princeton Township
Shaded bar tips show excess over facing bar.
20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-5.957570%-6.166550%-5.957570%6.0%5.957570%0.752860%6.166550%2.630099%6.710430%6.7%184205-0.000000%-8.333333%-14.285714%-8.333333%8.3%0.000000%14.285714%46.218487%0.000000%0.0%01-0.000000%-16.000000%-5.797101%-2.653603%-16.000000%16.0%0.000000%5.797101%0.000000%0.0%08-6.521739%-29.079160%-6.521739%6.5%6.521739%27.853261%29.079160%11.742758%34.375000%34.4%336-9.090909%-28.215768%-9.090909%9.1%9.090909%24.755245%28.215768%3.629470%33.846154%33.8%222
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 Bureau County and the Princeton Township
Female Male
Bureau County
Princeton Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-25.565281%-2.042973%-18.364433%-1.848146%-27.608253%27.6%25.565281%18.364433%25.565281%25.6%701950-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-0.000000%-14.000000%-51.408451%-14.000000%14.0%0.000000%51.408451%19.606042%0.000000%0.0%07-0.000000%-6.946688%0.000000%0.0%0.000000%12.500000%6.946688%0.724545%12.500000%12.5%120-0.000000%-27.272727%-4.166667%-8.281466%-27.272727%27.3%0.000000%4.166667%0.000000%0.0%06
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 Princeton 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
20.8%24.0%27.1%30.2%33.4%36.5%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
57.1%58.6%60.0%61.5%62.9%64.4%

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
5.9%8.6%11.4%14.1%16.8%19.6%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.21%0.54%0.86%1.18%1.50%1.82%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%0.7%1.2%1.7%2.3%2.9%

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

Percentage of the population 25 years and older with given highest level of educational attainment
2.3%3.9%5.3%6.8%8.3%9.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
8.6%10.5%12.3%14.1%15.9%17.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
7.1%8.1%9.0%9.9%10.8%11.8%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
19.5%20.3%21.1%21.8%22.6%23.4%

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
34.2%36.0%37.7%39.5%41.2%43.0%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
4.4%5.6%6.8%7.9%9.1%10.3%

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
0.0%1.2%2.5%3.7%4.9%6.2%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.1%0.7%1.3%1.9%2.5%3.2%
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Educational Attainment by County Subdivision in the Ottawa Area

There are 66 county subdivisions in the Ottawa Area. This section compares the Princeton Township to the 50 most populous county subdivisions in the Ottawa Area and to those entities that contain or substantially overlap with the Princeton Township. The least populous of the compared county subdivisions has a population of 498.

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 Princeton Township, selected other county subdivisions in the Ottawa Area, and entities that contain the Princeton Township
0%5%10%15%20%25%Count#Selby TownshipSelbyMission TownshipMissionMendota TownshipMendotaOhio TownshipOphir TownshipOphirBrookfield TownshipBrookfieldBruce TownshipBruceConcord TownshipConcordEagle TownshipEagleLaSalle TownshipLaSalleEarl TownshipUnited States of AmericaUnited StatesMeriden TownshipMeridenDayton TownshipDaytonOttawa TownshipOttawaGroveland TownshipGrovelandMiller TownshipMillerSenachwine TownshipSenachwineIllinoisFall River TownshipFall RivAdams TownshipAdamsTroy Grove TownshipTroy GrvOttawa and Peru Metro AreaOttawa AreaEast North CentralRutland TownshipRutlandDimmick TownshipDimmickMidwestManlius TownshipManliusHope TownshipManlius TownshipManliusOtter Creek TownshipOtter CrkBureau CountyBureauGranville TownshipGranvilleWyanet TownshipWyanetHall TownshipSouth Ottawa TownshipS OttawaArispie TownshipArispieMagnolia TownshipMagnoliaPeru TownshipWalnut TownshipWalnutBerlin TownshipBerlinEden TownshipWestfield TownshipWestfieldUtica TownshipUticaPrinceton TownshipPrincetonAllen TownshipAllenIndiantown TownshipIndiantownNeponset TownshipNeponsetLa Moille TownshipLa MoilleHennepin TownshipHennepinNorthville TownshipNorthvilleSerena TownshipSerenaFreedom TownshipFreedomFarm Ridge TownshipFarm RdgDover TownshipDoverWaltham TownshipWaltham26.308540%26.308540%26.3%382123.093547%23.093547%23.1%748217.493366%17.493366%17.5%857316.633267%16.633267%16.6%83415.277778%15.277778%15.3%66515.191987%15.191987%15.2%91615.107489%15.107489%15.1%1,279713.827655%13.827655%13.8%138813.547904%13.547904%13.5%181913.410759%13.410759%13.4%1,2241013.143549%13.143549%13.1%2171113.020590%13.020590%13.0%27,818,38027.8M12.990937%12.990937%13.0%431212.946429%12.946429%12.9%2031312.625047%12.625047%12.6%9971412.589074%12.589074%12.6%531512.000000%12.000000%12.0%421611.711712%11.711712%11.7%521711.703119%11.703119%11.7%1,008,6081.01M11.601307%11.601307%11.6%711811.111111%11.111111%11.1%1291910.964912%10.964912%11.0%1002010.919242%10.919242%10.9%11,55911.6k10.719464%10.719464%10.7%3,363,7843.36M10.695825%10.695825%10.7%2692110.600707%10.600707%10.6%602210.244520%10.244520%10.2%4,641,8354.64M10.221205%10.221205%10.2%402239.976798%9.976798%10.0%43249.803922%9.803922%9.8%40259.782609%9.782609%9.8%198269.274363%9.274363%9.3%2,2069.140586%9.140586%9.1%184278.967675%8.967675%9.0%86288.536585%8.536585%8.5%490298.383983%8.383983%8.4%469308.259587%8.259587%8.3%56318.144192%8.144192%8.1%61327.756840%7.756840%7.8%601337.244212%7.244212%7.2%97347.048458%7.048458%7.0%32357.022472%7.022472%7.0%75366.973059%6.973059%7.0%44376.819630%6.819630%6.8%107386.728253%6.728253%6.7%437396.075949%6.075949%6.1%24406.075534%6.075534%6.1%37415.976096%5.976096%6.0%30425.853659%5.853659%5.9%48435.600815%5.600815%5.6%55445.245023%5.245023%5.2%274455.243446%5.243446%5.2%42463.594080%3.594080%3.6%17472.716469%2.716469%2.7%16482.439024%2.439024%2.4%11490.000000%0.000000%0.0%050
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Princeton Township, selected other county subdivisions in the Ottawa Area, and entities that contain the Princeton Township
0%10%20%30%Count#Freedom TownshipFreedomIllinoisUnited States of AmericaUnited StatesMidwestEast North CentralPrinceton TownshipPrincetonUtica TownshipUticaNorthville TownshipNorthvillePeru TownshipWalnut TownshipWalnutDover TownshipDoverSouth Ottawa TownshipS OttawaMiller TownshipMillerGroveland TownshipGrovelandDayton TownshipDaytonOphir TownshipOphirHope TownshipFarm Ridge TownshipFarm RdgSenachwine TownshipSenachwineDimmick TownshipDimmickBureau CountyBureauMeriden TownshipMeridenHall TownshipMagnolia TownshipMagnoliaBrookfield TownshipBrookfieldOttawa and Peru Metro AreaOttawa AreaAdams TownshipAdamsOttawa TownshipOttawaConcord TownshipConcordLaSalle TownshipLaSalleOtter Creek TownshipOtter CrkMendota TownshipMendotaRutland TownshipRutlandWestfield TownshipWestfieldBruce TownshipBruceFall River TownshipFall RivIndiantown TownshipIndiantownOhio TownshipTroy Grove TownshipTroy GrvManlius TownshipManliusEarl TownshipLa Moille TownshipLa MoilleGranville TownshipGranvilleSelby TownshipSelbyEagle TownshipEagleNeponset TownshipNeponsetArispie TownshipArispieHennepin TownshipHennepinEden TownshipSerena TownshipSerenaWaltham TownshipWalthamManlius TownshipManliusWyanet TownshipWyanetBerlin TownshipBerlinMission TownshipMissionAllen TownshipAllen39.323467%39.323467%39.3%186132.893660%32.893660%32.9%2,834,8692.83M30.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M25.804465%25.804465%25.8%1,676223.454430%23.454430%23.5%368323.066616%23.066616%23.1%1,205422.728446%22.728446%22.7%1,761522.404780%22.404780%22.4%300621.507761%21.507761%21.5%97721.380050%21.380050%21.4%1,196821.142857%21.142857%21.1%74921.140143%21.140143%21.1%891020.982143%20.982143%21.0%3291120.601852%20.601852%20.6%891220.185615%20.185615%20.2%871319.864177%19.864177%19.9%1171419.594595%19.594595%19.6%871519.081272%19.081272%19.1%1081618.805180%18.805180%18.8%4,47318.731118%18.731118%18.7%621718.693380%18.693380%18.7%1,0731818.024032%18.024032%18.0%1351917.362270%17.362270%17.4%1042017.275810%17.275810%17.3%18,28818.3k17.054264%17.054264%17.1%1982116.006078%16.006078%16.0%1,2642215.831663%15.831663%15.8%1582315.470582%15.470582%15.5%1,4122415.365613%15.365613%15.4%3112515.227597%15.227597%15.2%7462615.069583%15.069583%15.1%3792715.055468%15.055468%15.1%952814.753130%14.753130%14.8%1,2492914.705882%14.705882%14.7%903014.614122%14.614122%14.6%893114.428858%14.428858%14.4%723214.254386%14.254386%14.3%1303313.970588%13.970588%14.0%573413.809812%13.809812%13.8%2283513.780488%13.780488%13.8%1133613.065077%13.065077%13.1%2633712.603306%12.603306%12.6%1833812.574850%12.574850%12.6%1683912.350598%12.350598%12.4%624012.241888%12.241888%12.2%834112.016293%12.016293%12.0%1184211.142322%11.142322%11.1%1194310.486891%10.486891%10.5%844410.422535%10.422535%10.4%374510.272057%10.272057%10.3%4044610.010428%10.010428%10.0%96479.251101%9.251101%9.3%42488.768138%8.768138%8.8%284497.594937%7.594937%7.6%3050
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 Princeton Township, selected other county subdivisions in the Ottawa Area, and entities that contain the Princeton Township
0%2%4%6%8%10%Count#Meriden TownshipMeridenMiller TownshipMillerTroy Grove TownshipTroy GrvUtica TownshipUticaBrookfield TownshipBrookfieldIndiantown TownshipIndiantownIllinoisUnited States of AmericaUnited StatesPrinceton TownshipPrincetonSerena TownshipSerenaPeru TownshipMidwestEast North CentralWalnut TownshipWalnutOttawa TownshipOttawaSouth Ottawa TownshipS OttawaWestfield TownshipWestfieldDover TownshipDoverFreedom TownshipFreedomSenachwine TownshipSenachwineBureau CountyBureauOttawa and Peru Metro AreaOttawa AreaBruce TownshipBruceHall TownshipNorthville TownshipNorthvilleMagnolia TownshipMagnoliaDimmick TownshipDimmickDayton TownshipDaytonEarl TownshipGranville TownshipGranvilleBerlin TownshipBerlinManlius TownshipManliusNeponset TownshipNeponsetArispie TownshipArispieMendota TownshipMendotaRutland TownshipRutlandManlius TownshipManliusOtter Creek TownshipOtter CrkLaSalle TownshipLaSalleLa Moille TownshipLa MoilleHennepin TownshipHennepinFarm Ridge TownshipFarm RdgConcord TownshipConcordSelby TownshipSelbyHope TownshipOhio TownshipEagle TownshipEagleAllen TownshipAllenEden TownshipAdams TownshipAdamsMission TownshipMissionWyanet TownshipWyanetFall River TownshipFall RivOphir TownshipOphirWaltham TownshipWalthamGroveland TownshipGroveland10.876133%10.876133%10.9%3616.571429%6.571429%6.6%2325.153509%5.153509%5.2%4734.907584%4.907584%4.9%7743.839733%3.839733%3.8%2353.448276%3.448276%3.4%2163.366505%3.366505%3.4%290,135290k3.336158%3.336158%3.3%7,127,6737.13M3.017706%3.017706%3.0%19672.996255%2.996255%3.0%2482.929788%2.929788%2.9%22792.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.837939%2.837939%2.8%38102.760542%2.760542%2.8%218112.234537%2.234537%2.2%125122.218700%2.218700%2.2%14132.217295%2.217295%2.2%10142.114165%2.114165%2.1%10151.801802%1.801802%1.8%8161.774153%1.774153%1.8%4221.701320%1.701320%1.7%1,8011.665485%1.665485%1.7%141171.602787%1.602787%1.6%92181.588821%1.588821%1.6%83191.468625%1.468625%1.5%11201.413428%1.413428%1.4%8211.403061%1.403061%1.4%22221.393095%1.393095%1.4%23231.341282%1.341282%1.3%27241.321586%1.321586%1.3%6251.225490%1.225490%1.2%5261.195219%1.195219%1.2%6271.179941%1.179941%1.2%8281.061441%1.061441%1.1%52290.994036%0.994036%1.0%25300.889906%0.889906%0.9%35310.790514%0.790514%0.8%16320.777912%0.777912%0.8%71330.731707%0.731707%0.7%6340.610998%0.610998%0.6%6350.509338%0.509338%0.5%3360.501002%0.501002%0.5%5370.482094%0.482094%0.5%7380.464037%0.464037%0.5%2390.400802%0.400802%0.4%2400.374251%0.374251%0.4%5410.253165%0.253165%0.3%1420.187266%0.187266%0.2%2430.086133%0.086133%0.1%1440.061747%0.061747%0.1%2450.000000%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 Princeton Township, selected other county subdivisions in the Ottawa Area, and entities that contain the Princeton Township
Female
Male
0x5x10xFM#DimmickManliusSerenaOhio TownshipMagnoliaMissionAdamsWalnutHall TownshipConcordDaytonLa MoilleBureauTroy GrvFall RivEarl TownshipArispieHope TownshipManliusPrincetonWyanetOttawa AreaMendotaOtter CrkSelbyMidwestOttawaEast North CentralAllenIllinoisUnited StatesS OttawaLaSalleIndiantownWestfieldGrovelandRutlandBrucePeru TownshipBerlinUticaOphirGranvilleFreedomHennepinBrookfieldEden TownshipNorthvilleFarm RdgNeponsetSenachwineMillerEagleDoverMeriden-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.722%0.72%20.069%20.1%1-1.000000x-1.000000x4.111111x4.111111x4.11x4.054%4.05%16.667%16.7%2-1.000000x-1.000000x3.407080x3.407080x3.41x2.597%2.60%8.850%8.85%3-1.000000x-1.000000x3.239634x3.239634x3.24x7.905%7.91%25.610%25.6%4-1.000000x-1.000000x2.651330x2.651330x2.65x4.569%4.57%12.113%12.1%5-1.000000x-1.000000x2.189078x2.189078x2.19x12.830%12.8%28.086%28.1%6-1.000000x-1.000000x2.116555x2.116555x2.12x7.067%7.07%14.958%15.0%7-1.000000x-1.000000x2.046395x2.046395x2.05x4.647%4.65%9.510%9.51%8-1.000000x-1.000000x1.903226x1.903226x1.90x5.932%5.93%11.290%11.3%9-1.000000x-1.000000x1.773166x1.773166x1.77x9.939%9.94%17.624%17.6%10-1.000000x-1.000000x1.632783x1.632783x1.63x9.733%9.73%15.892%15.9%11-1.000000x-1.000000x1.548817x1.548817x1.55x4.600%4.60%7.125%7.13%12-1.000000x-1.000000x1.531504x1.531504x1.53x7.373%7.37%11.292%11.3%-1.000000x-1.000000x1.505637x1.505637x1.51x8.866%8.87%13.349%13.3%13-1.000000x-1.000000x1.438517x1.438517x1.44x9.459%9.46%13.608%13.6%14-1.000000x-1.000000x1.430041x1.430041x1.43x10.830%10.8%15.488%15.5%15-1.000000x-1.000000x1.379065x1.379065x1.38x7.003%7.00%9.657%9.66%16-1.000000x-1.000000x1.330394x1.330394x1.33x8.421%8.42%11.203%11.2%17-1.000000x-1.000000x1.328460x1.328460x1.33x8.788%8.79%11.674%11.7%18-1.000000x-1.000000x1.238092x1.238092x1.24x6.086%6.09%7.535%7.53%19-1.000000x-1.000000x1.236277x1.236277x1.24x8.071%8.07%9.978%9.98%20-1.000000x-1.000000x1.182367x1.182367x1.18x10.016%10.0%11.842%11.8%-1.000000x-1.000000x1.163680x1.163680x1.16x16.158%16.2%18.803%18.8%21-1.000000x-1.000000x1.156507x1.156507x1.16x9.147%9.15%10.579%10.6%22-1.000000x-1.000000x1.128998x1.128998x1.13x24.585%24.6%27.757%27.8%23-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127215x1.127215x1.13x11.908%11.9%13.422%13.4%24-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.117779x1.117779x1.12x5.729%5.73%6.404%6.40%25-1.000000x-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-1.000000x1.081648x1.081648x1.08x8.063%8.06%8.721%8.72%26-1.000000x-1.000000x1.068483x1.068483x1.07x12.953%13.0%13.840%13.8%27-1.000000x-1.000000x1.045354x1.045354x1.05x5.926%5.93%6.195%6.19%28-1.000000x-1.000000x1.037772x1.037772x1.04x6.840%6.84%7.099%7.10%29-1.044004x-1.044004x1.04x1.000000x1.000000x12.871%12.9%12.329%12.3%30-1.052932x-1.052932x1.05x1.000000x1.000000x10.959%11.0%10.408%10.4%31-1.071948x-1.071948x1.07x1.000000x1.000000x15.601%15.6%14.554%14.6%32-1.104556x-1.104556x1.10x1.000000x1.000000x8.104%8.10%7.337%7.34%33-1.141509x-1.141509x1.14x1.000000x1.000000x7.547%7.55%6.612%6.61%34-1.170171x-1.170171x1.17x1.000000x1.000000x7.351%7.35%6.282%6.28%35-1.205152x-1.205152x1.21x1.000000x1.000000x16.940%16.9%14.056%14.1%36-1.292969x-1.292969x1.29x1.000000x1.000000x10.247%10.2%7.925%7.92%37-1.385024x-1.385024x1.39x1.000000x1.000000x4.245%4.25%3.065%3.07%38-1.401325x-1.401325x1.40x1.000000x1.000000x6.623%6.62%4.726%4.73%39-1.503985x-1.503985x1.50x1.000000x1.000000x18.305%18.3%12.171%12.2%40-1.598133x-1.598133x1.60x1.000000x1.000000x8.647%8.65%5.410%5.41%41-1.636867x-1.636867x1.64x1.000000x1.000000x6.525%6.53%3.986%3.99%42-2.591772x-2.591772x2.59x1.000000x1.000000x3.797%3.80%1.465%1.47%43-2.609001x-2.609001x2.61x1.000000x1.000000x8.861%8.86%3.396%3.40%44-2.917223x-2.917223x2.92x1.000000x1.000000x17.757%17.8%6.087%6.09%45-3.037975x-3.037975x3.04x1.000000x1.000000x18.987%19.0%6.250%6.25%46-3.908964x-3.908964x3.91x1.000000x1.000000x21.386%21.4%5.471%5.47%47-4.362445x-4.362445x4.36x1.000000x1.000000x3.930%3.93%0.901%0.90%48-4.584490x-4.584490x4.58x1.000000x1.000000x20.571%20.6%4.487%4.49%49
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 49 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 Princeton Township, selected other county subdivisions in the Ottawa Area, and entities that contain the Princeton Township
Female
Male
10x5x0x5x10xFM#MissionOtter CrkSelbyArispieFarm RdgOhio TownshipHope TownshipManliusDoverMillerAllenSenachwineWalnutPrincetonHall TownshipGranvilleDaytonBureauPeru TownshipLa MoilleLaSalleS OttawaEast North CentralMidwestEarl TownshipNorthvilleUnited StatesIllinoisOttawa AreaUticaBruceWestfieldMagnoliaHennepinOttawaMendotaConcordIndiantownTroy GrvRutlandBerlinBrookfieldMeridenManliusEagleAdamsEden TownshipSerenaDimmickNeponsetFreedom-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.092%0.09%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.782%1.78%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.887%0.89%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.492%2.49%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.099%1.10%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.813%0.81%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.830%0.83%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.688%2.69%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.505%4.50%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%11.979%12.0%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.493%0.49%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.478%3.48%12-1.000000x-1.000000x3.864935x3.864935x3.86x1.122%1.12%4.336%4.34%13-1.000000x-1.000000x3.138021x3.138021x3.14x1.549%1.55%4.861%4.86%14-1.000000x-1.000000x2.684036x2.684036x2.68x0.881%0.88%2.366%2.37%15-1.000000x-1.000000x2.610271x2.610271x2.61x0.759%0.76%1.981%1.98%16-1.000000x-1.000000x2.444988x2.444988x2.44x0.800%0.80%1.956%1.96%17-1.000000x-1.000000x2.410679x2.410679x2.41x1.053%1.05%2.539%2.54%-1.000000x-1.000000x2.226716x2.226716x2.23x1.885%1.88%4.196%4.20%18-1.000000x-1.000000x2.029484x2.029484x2.03x0.484%0.48%0.983%0.98%19-1.000000x-1.000000x1.835704x1.835704x1.84x0.543%0.54%0.998%1.00%20-1.000000x-1.000000x1.684110x1.684110x1.68x1.675%1.68%2.822%2.82%21-1.000000x-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-1.000000x1.576423x1.576423x1.58x1.083%1.08%1.707%1.71%22-1.000000x-1.000000x1.567127x1.567127x1.57x1.236%1.24%1.936%1.94%23-1.000000x-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-1.000000x1.275886x1.275886x1.28x1.497%1.50%1.910%1.91%-1.000000x-1.000000x1.213846x1.213846x1.21x4.436%4.44%5.385%5.38%24-1.000000x-1.000000x1.104956x1.104956x1.10x1.587%1.59%1.754%1.75%25-1.055375x-1.055375x1.06x1.000000x1.000000x2.280%2.28%2.160%2.16%26-1.081218x-1.081218x1.08x1.000000x1.000000x1.523%1.52%1.408%1.41%27-1.167770x-1.167770x1.17x1.000000x1.000000x0.662%0.66%0.567%0.57%28-1.279555x-1.279555x1.28x1.000000x1.000000x3.079%3.08%2.406%2.41%29-1.285297x-1.285297x1.29x1.000000x1.000000x1.195%1.20%0.930%0.93%30-1.536511x-1.536511x1.54x1.000000x1.000000x0.609%0.61%0.396%0.40%31-1.674074x-1.674074x1.67x1.000000x1.000000x4.444%4.44%2.655%2.65%32-1.705799x-1.705799x1.71x1.000000x1.000000x6.392%6.39%3.747%3.75%33-1.942256x-1.942256x1.94x1.000000x1.000000x1.294%1.29%0.666%0.67%34-2.283019x-2.283019x2.28x1.000000x1.000000x1.887%1.89%0.826%0.83%35-2.919774x-2.919774x2.92x1.000000x1.000000x5.763%5.76%1.974%1.97%36-4.457143x-4.457143x4.46x1.000000x1.000000x17.143%17.1%3.846%3.85%37-7.644318x-7.644318x7.64x1.000000x1.000000x1.566%1.57%0.205%0.20%38-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.737%0.74%0.000%0%39-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.177%0.18%0.000%0%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.376%0.38%0.000%0%41-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.195%5.19%0.000%0%42-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.888%2.89%0.000%0%43-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.532%2.53%0.000%0%44-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.717%4.72%0.000%0%45
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 45 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 Princeton Township to the 50 most populous county subdivisions in Illinois and to those entities that contain or substantially overlap with the Princeton 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 Princeton Township, selected other county subdivisions in Illinois, and entities that contain the Princeton 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 TownshipMaineOttawa and Peru Metro AreaOttawa AreaEast North CentralWorth TownshipWorthBremen TownshipBremenMidwestNiles TownshipNilesBureau CountyBureauCapital TownshipCapitalPalos TownshipPalosWayne TownshipWayneWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgPlainfield TownshipPlainfieldWarren TownshipWarrenPrinceton TownshipPrincetonRich TownshipEvanston TownshipEvanstonOrland TownshipOrlandAlgonquin TownshipAlgonquinYork 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%10,96511.0k2310.919242%10.919242%10.9%11,55911.6k10.719464%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%7,659269.274363%9.274363%9.3%2,2068.623103%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%2,900346.728253%6.728253%6.7%4376.047812%6.047812%6.0%3,223356.014252%6.014252%6.0%2,878365.916957%5.916957%5.9%4,154375.784297%5.784297%5.8%3,411385.461095%5.461095%5.5%4,715395.266517%5.266517%5.3%4,126404.581501%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 Princeton Township, selected other county subdivisions in Illinois, and entities that contain the Princeton 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 TownshipPalosPeoria City TownshipPeoria CityAvon TownshipMidwestDundee TownshipDundeeEast North CentralProviso TownshipProvisoPrinceton TownshipPrincetonWorth TownshipWorthElgin TownshipElginAddison TownshipAddisonBremen TownshipBremenLockport TownshipLockportBloom TownshipBloomRockford TownshipRockfordBerwyn TownshipBerwynLeyden TownshipLeydenThornton TownshipThorntonBureau CountyBureauOttawa and Peru Metro AreaOttawa AreaAurora 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%11,63811.6k3229.457073%29.457073%29.5%19,61919.6k3329.196640%29.196640%29.2%11,60811.6k3428.952816%28.952816%29.0%13,118,64213.1M28.660216%28.660216%28.7%11,75911.8k3528.462853%28.462853%28.5%8,931,6868.93M26.237989%26.237989%26.2%27,03327.0k3625.804465%25.804465%25.8%1,67625.217641%25.217641%25.2%26,38926.4k3724.981289%24.981289%25.0%16,35516.4k3824.653379%24.653379%24.7%14,95415.0k3922.955021%22.955021%23.0%17,02017.0k4022.241812%22.241812%22.2%8,9574122.102430%22.102430%22.1%13,05913.1k4221.592552%21.592552%21.6%25,23525.2k4321.245931%21.245931%21.2%7,6364420.075327%20.075327%20.1%12,89912.9k4518.971090%18.971090%19.0%21,01221.0k4618.805180%18.805180%18.8%4,47317.275810%17.275810%17.3%18,28818.3k15.929601%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 Princeton Township, selected other county subdivisions in Illinois, and entities that contain the Princeton 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 TownshipPalosPrinceton TownshipPrincetonMidwestDu Page TownshipDu PageEast North CentralSchaumburg TownshipSchaumburgElk Grove TownshipElk GrvWayne TownshipWayneAlgonquin TownshipAlgonquinAvon TownshipProviso TownshipProvisoBloomingdale TownshipBloomingdaleRockford TownshipRockfordWorth TownshipWorthHanover TownshipHanoverBureau CountyBureauOttawa and Peru Metro AreaOttawa AreaBremen TownshipBremenBloom TownshipBloomBerwyn TownshipBerwynPlainfield TownshipPlainfieldDundee TownshipDundeeAddison TownshipAddisonElgin TownshipElginLeyden TownshipLeydenLockport TownshipLockportAurora TownshipAuroraThornton TownshipThorntonJoliet TownshipJolietWaukegan TownshipWaukeganCicero TownshipCicero19.288111%19.288111%19.3%7,012113.179947%13.179947%13.2%6,307210.526826%10.526826%10.5%6,512310.324904%10.324904%10.3%4,78947.745304%7.745304%7.7%3,62057.658384%7.658384%7.7%7,93666.197734%6.197734%6.2%5,35176.195792%6.195792%6.2%3,13685.933545%5.933545%5.9%4,83495.800061%5.800061%5.8%4,544105.751055%5.751055%5.8%4,442114.805065%4.805065%4.8%3,605124.772487%4.772487%4.8%3,157134.485379%4.485379%4.5%82,18982.2k144.406800%4.406800%4.4%2,245154.233985%4.233985%4.2%3,357164.113893%4.113893%4.1%1,702174.030539%4.030539%4.0%3,970184.004353%4.004353%4.0%2,134193.702843%3.702843%3.7%1,434203.647888%3.647888%3.6%2,561213.487439%3.487439%3.5%2,782223.407574%3.407574%3.4%3,779233.366505%3.366505%3.4%290,135290k3.336158%3.336158%3.3%7,127,6737.13M3.226630%3.226630%3.2%2,149243.195580%3.195580%3.2%1,255253.017706%3.017706%3.0%1962.893416%2.893416%2.9%1,311,0191.31M2.860886%2.860886%2.9%1,616262.855432%2.855432%2.9%896,039896k2.551250%2.551250%2.6%2,382272.549424%2.549424%2.5%1,670282.359543%2.359543%2.4%1,068292.348652%2.348652%2.3%1,385302.303939%2.303939%2.3%916312.213918%2.213918%2.2%2,281322.113682%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%1,294361.774153%1.774153%1.8%4221.701320%1.701320%1.7%1,8011.700722%1.700722%1.7%1,261371.656963%1.656963%1.7%979381.588715%1.588715%1.6%571391.564534%1.564534%1.6%757401.545248%1.545248%1.5%634411.506834%1.506834%1.5%914421.412882%1.412882%1.4%925431.408495%1.408495%1.4%905441.122396%1.122396%1.1%452450.936111%0.936111%0.9%834460.876686%0.876686%0.9%971470.823908%0.823908%0.8%448480.630691%0.630691%0.6%338490.217781%0.217781%0.2%10250
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Princeton Township, selected other county subdivisions in Illinois, and entities that contain the Princeton Township
Female
Male
1x0x1xFM#PlainfieldLockportBureauNapervilleBremenBloomAvon TownshipRich TownshipPrincetonDu PageThorntonOttawa AreaJolietProvisoRockfordBerwynPalosElginElk GrvMidwestEast North CentralWarrenPeoria CityIllinoisUnited StatesWorthAuroraWheelingHanoverSchaumburgBloomington CityLeydenAddisonChicagoCiceroPalatineCapitalLyonsYork TownshipBloomingdaleFrankfortDundeeWaukeganAlgonquinNilesLisleWayneChampaign CityDowners GrvEvanstonMiltonMaineNew TrierOrlandNorthfieldVernonWheatland-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-1.000000x1.531504x1.531504x1.53x7.373%7.37%11.292%11.3%-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-1.000000x1.238092x1.238092x1.24x6.086%6.09%7.535%7.53%-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-1.000000x1.182367x1.182367x1.18x10.016%10.0%11.842%11.8%-1.000000x-1.000000x1.181052x1.181052x1.18x20.931%20.9%24.720%24.7%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.164237x1.164237x1.16x19.784%19.8%23.034%23.0%13-1.000000x-1.000000x1.145379x1.145379x1.15x7.947%7.95%9.103%9.10%14-1.000000x-1.000000x1.143910x1.143910x1.14x18.203%18.2%20.822%20.8%15-1.000000x-1.000000x1.131549x1.131549x1.13x10.819%10.8%12.243%12.2%16-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123118x1.123118x1.12x6.617%6.62%7.432%7.43%17-1.000000x-1.000000x1.116331x1.116331x1.12x11.528%11.5%12.869%12.9%18-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%19-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%20-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%21-1.000000x-1.000000x1.077424x1.077424x1.08x15.427%15.4%16.621%16.6%22-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%23-1.000000x-1.000000x1.076360x1.076360x1.08x4.417%4.42%4.754%4.75%24-1.000000x-1.000000x1.072818x1.072818x1.07x16.068%16.1%17.238%17.2%25-1.000000x-1.000000x1.069683x1.069683x1.07x16.346%16.3%17.486%17.5%26-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%27-1.000000x-1.000000x1.061493x1.061493x1.06x38.904%38.9%41.296%41.3%28-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%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 Princeton Township, selected other county subdivisions in Illinois, and entities that contain the Princeton Township
Female
Male
1x0x1x2x3xFM#PrincetonBureauOrlandNorthfieldRockfordBloomington CityElginPeoria CityCapitalNew TrierDowners GrvVernonNilesLisleYork TownshipFrankfortMaineAvon TownshipBloomWheelingLyonsMiltonLeydenPalosEast North CentralEvanstonMidwestBloomingdaleWheatlandChampaign CityAuroraNapervilleUnited StatesIllinoisPalatineSchaumburgPlainfieldWayneAddisonWarrenDundeeOttawa AreaBremenChicagoJolietHanoverWaukeganLockportWorthElk GrvDu PageProvisoRich TownshipAlgonquinBerwynCiceroThornton-1.000000x-1.000000x3.138021x3.138021x3.14x1.549%1.55%4.861%4.86%-1.000000x-1.000000x2.410679x2.410679x2.41x1.053%1.05%2.539%2.54%-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-1.000000x1.633427x1.633427x1.63x2.477%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-1.000000x1.527866x1.527866x1.53x3.812%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-1.000000x1.275886x1.275886x1.28x1.497%1.50%1.910%1.91%-1.000000x-1.000000x1.261737x1.261737x1.26x1.515%1.52%1.912%1.91%36-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%37-1.000000x-1.000000x1.227910x1.227910x1.23x0.742%0.74%0.911%0.91%38-1.000000x-1.000000x1.201846x1.201846x1.20x1.772%1.77%2.129%2.13%39-1.000000x-1.000000x1.151981x1.151981x1.15x0.586%0.59%0.675%0.68%40-1.000000x-1.000000x1.141842x1.141842x1.14x1.048%1.05%1.196%1.20%41-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%42-1.000000x-1.000000x1.076314x1.076314x1.08x2.458%2.46%2.645%2.65%43-1.000000x-1.000000x1.056291x1.056291x1.06x2.785%2.78%2.942%2.94%44-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%45-1.000000x-1.000000x1.035849x1.035849x1.04x3.943%3.94%4.085%4.08%46-1.000000x-1.000000x1.032695x1.032695x1.03x2.312%2.31%2.388%2.39%47-1.023718x-1.023718x1.02x1.000000x1.000000x1.607%1.61%1.570%1.57%48-1.655047x-1.655047x1.66x1.000000x1.000000x0.272%0.27%0.165%0.16%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Princeton Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Princeton 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 Princeton Township, selected other county subdivisions in the Midwest, and entities that contain the Princeton 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 TownshipMaineTopekaMinneapolisOttawa and Peru Metro AreaOttawa AreaSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsBureau CountyBureauCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonPrinceton TownshipPrincetonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.703119%11.703119%11.7%1,008,6081.01M11.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.919242%10.919242%10.9%11,55911.6k10.767091%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%9,123349.274363%9.274363%9.3%2,2068.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.728253%6.728253%6.7%4376.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Princeton Township, selected other county subdivisions in the Midwest, and entities that contain the Princeton 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 FallsMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoPrinceton TownshipPrincetonWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonBureau CountyBureauToledoDaytonWarrenOttawa and Peru Metro AreaOttawa AreaWayne 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%28,45328.5k2928.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.804465%25.804465%25.8%1,67625.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.805180%18.805180%18.8%4,47318.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4417.275810%17.275810%17.3%18,28818.3k16.826535%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 Princeton Township, selected other county subdivisions in the Midwest, and entities that contain the Princeton 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 TownshipLawrencePrinceton TownshipPrincetonSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandBureau CountyBureauOttawa and Peru Metro AreaOttawa AreaToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.366505%3.366505%3.4%290,135290k3.357865%3.357865%3.4%17,95418.0k223.336158%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%2,472253.017706%3.017706%3.0%1962.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.774153%1.774153%1.8%4221.701320%1.701320%1.7%1,8011.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Princeton Township, selected other county subdivisions in the Midwest, and entities that contain the Princeton Township
Female
Male
1x0x1xFM#BureauCedar RapidsLincolnPrincetonDetroitOmahaToledoThorntonKansas CityMadisonOttawa AreaLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonIllinoisSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.531504x1.531504x1.53x7.373%7.37%11.292%11.3%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.238092x1.238092x1.24x6.086%6.09%7.535%7.53%-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-1.000000x1.182367x1.182367x1.18x10.016%10.0%11.842%11.8%-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%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 Princeton Township, selected other county subdivisions in the Midwest, and entities that contain the Princeton Township
Female
Male
1x0x1x2x3xFM#PrincetonBureauRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborIllinoisTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiOttawa AreaSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x3.138021x3.138021x3.14x1.549%1.55%4.861%4.86%-1.000000x-1.000000x2.410679x2.410679x2.41x1.053%1.05%2.539%2.54%-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-1.000000x1.627456x1.627456x1.63x3.304%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-1.000000x1.526215x1.526215x1.53x2.660%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-1.000000x1.275886x1.275886x1.28x1.497%1.50%1.910%1.91%-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Princeton Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Princeton 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 Princeton Township, selected other county subdivisions in the United States, and entities that contain the Princeton 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, CharlotteColumbusTulsaOttawa and Peru Metro AreaOttawa AreaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaBureau CountyBureauSeattleNortheast TarrantNE TarrantPrinceton TownshipPrincetonPlanoSeattle 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%43,65343.7k4110.919242%10.919242%10.9%11,55911.6k10.719464%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%37,37337.4k469.274363%9.274363%9.3%2,2068.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k486.728253%6.728253%6.7%4375.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Princeton Township, selected other county subdivisions in the United States, and entities that contain the Princeton 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 StatesHoustonBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiPrinceton TownshipPrincetonFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxBureau CountyBureauOttawa and Peru Metro AreaOttawa AreaSan 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%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4025.804465%25.804465%25.8%1,67624.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4718.805180%18.805180%18.8%4,47317.275810%17.275810%17.3%18,28818.3k16.375473%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 Princeton Township, selected other county subdivisions in the United States, and entities that contain the Princeton 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 StatesTulsaPrinceton TownshipPrincetonPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlBureau CountyBureauEl PasoSouthwest DallasSW DallasOttawa and Peru Metro AreaOttawa AreaBronxDetroit12.461852%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%12,13312.1k313.017706%3.017706%3.0%1963.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.774153%1.774153%1.8%4221.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.701320%1.701320%1.7%1,8011.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Princeton Township, selected other county subdivisions in the United States, and entities that contain the Princeton Township
Female
Male
1x0x1xFM#Bureau1, CharlottePrincetonDetroitOttawa AreaBaltimoreTulsaSW DallasMidwestFresnoEast 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-1.000000x1.531504x1.531504x1.53x7.373%7.37%11.292%11.3%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.238092x1.238092x1.24x6.086%6.09%7.535%7.53%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.182367x1.182367x1.18x10.016%10.0%11.842%11.8%-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%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 Princeton Township, selected other county subdivisions in the United States, and entities that contain the Princeton Township
Female
Male
1x0x1x2x3xFM#PrincetonBureauEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseIllinoisHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensOttawa AreaSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x3.138021x3.138021x3.14x1.549%1.55%4.861%4.86%-1.000000x-1.000000x2.410679x2.410679x2.41x1.053%1.05%2.539%2.54%-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-1.000000x1.621815x1.621815x1.62x3.429%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-1.000000x1.529565x1.529565x1.53x4.164%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-1.000000x1.275886x1.275886x1.28x1.497%1.50%1.910%1.91%-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Illinois
County:
Bureau
Metro Area:
Ottawa Area
City:
Princeton
ZIP Codes:
61356, 61368
Unified School District:
Bureau Valley 340
Elementary School District:
Princeton 115
Secondary School District:
Princeton 500
Congressional District:
IL-16
State Senate District:
IL-37
State House Districts:
IL-73, IL-74
Neighboring Townships:
Arispie, Berlin, Bureau, Dover, Indiantown, Leepertown, Selby, Wyanet
Nearby Townships:
Concord, Hall, Hennepin, La Moille, Macon, Manlius, Ohio, Senachwine, Westfield, Wheatland