Educational Attainment in the Maryland Township, Ogle County, Illinois (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Ogle County and the Maryland Township
Maryland Township
Ogle County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma225.625000%29.734474%25.625000%25.6%8262.187500%58.521635%62.187500%62.2%19912.187500%11.743891%12.187500%12.2%39
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 Ogle County at large.
Scope: population of Ogle County and the Maryland Township
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-13.820570%-13.820570%-13.8%25.625%25.6%29.734%29.7%6.264119%6.264119%+6.3%62.188%62.2%58.522%58.5%3.777358%3.777358%+3.8%12.188%12.2%11.744%11.7%
% percentage with given level in the Maryland Township
ref. percentage with given level in Ogle 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 Ogle County and the Maryland Township
Maryland Township
Ogle County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.359422%00.000000%0.000000%0.0%0.858154%00.312500%5.424758%0.312500%0.3%16.250000%13.195509%6.250000%6.3%2019.062500%9.896631%19.062500%19.1%6133.125000%24.738792%33.125000%33.1%10629.062500%33.782842%29.062500%29.1%9311.562500%7.584074%11.562500%11.6%370.625000%3.346243%0.625000%0.6%20.000000%0.000000%0.0%0.813574%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Ogle County at large.
Scope: population of Ogle County and the Maryland Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.359%0.36%-100.000000%-100.000000%-100.0%0.000%0%0.858%0.86%-94.239375%-94.239375%-94.2%0.313%0.31%5.425%5.42%-52.635399%-52.635399%-52.6%6.250%6.25%13.196%13.2%92.616044%92.616044%+92.6%19.063%19.1%9.897%9.90%33.899017%33.899017%+33.9%33.125%33.1%24.739%24.7%-13.972603%-13.972603%-14.0%29.063%29.1%33.783%33.8%52.457637%52.457637%+52.5%11.563%11.6%7.584%7.58%-81.322336%-81.322336%-81.3%0.625%0.63%3.346%3.35%-100.000000%-100.000000%-100.0%0.000%0%0.814%0.81%
% percentage with given level in the Maryland Township
ref. percentage with given level in Ogle 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 Ogle County and the Maryland Township
More Females More Males
Ogle County
Maryland Township
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-17.009190%-12.444864%-17.009190%17%27.485%27.5%23.490%23.5%-1.341215%-1.341215%1%8.816121%62.573%62.6%61.745%61.7%-13.325792%48.519542%48.519542%49%9.942%9.94%14.765%14.8%
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 Ogle County and the Maryland Township
More Females More Males
Ogle County
Maryland Township
1,000%500%0%FMMaster's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3-1,000.000000%-33.842327%-1,000.000000%> 1000%0.585%0.58%0.000%0%-393.762183%-15.018166%-393.762183%394%9.942%9.94%2.013%2.01%-14.920305%26.637352%26.637352%27%16.959%17.0%21.477%21.5%-142.731830%-142.731830%143%4.644134%45.614%45.6%18.792%18.8%153.274705%11.978734%153.274705%153%16.959%17.0%42.953%43.0%-8.878217%68.322148%68.322148%68%8.772%8.77%14.765%14.8%-1,000.000000%-9.198569%-1,000.000000%> 1000%1.170%1.17%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Ogle County and the Maryland Township
Maryland Township
Ogle County
0%5%10%15%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%7.772896%09813.846154%13.083117%13.846154%13.8%181300.000000%0.000000%0.0%16.406250%0667.692308%18.435654%7.692308%7.7%226
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 Ogle County at large.
Scope: population of Ogle County and the Maryland Township
100%80%60%40%20%0%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%7.773%7.77%5.832225%5.832225%5.8%13.846%13.8%13.083%13.1%-100.000000%-100.000000%100.0%0.000%0%16.406%16.4%-58.274832%-58.274832%58.3%7.692%7.69%18.436%18.4%
% percentage in the Maryland Township with a Bachelor's degree
ref percentage in Ogle 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 Ogle County and the Maryland Township
More Females More Males
Ogle County
Maryland Township
500%0%500%1,000%FM45-6425-34-928.395062%-17.994986%-928.395062%928.4%20.988%21.0%2.041%2.04%-79.625557%1,000.000000%1,000.000000%> 1000%0.000%0%15.385%15.4%
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 Ogle County and the Maryland Township
Maryland Township
Ogle County
$0k$10k$20k$30k$40kCount%Some CollegeTotal$43,250.000000$36,277.000000$43,250.000000$43.3k16752.188%52.2%$42,823.000000$36,901.000000$42,823.000000$42.8k320100.000%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 Ogle County and the Maryland Township
Female Male
Ogle County
Maryland Township
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMSome CollegeTotal$-39,107.000000$-26,755.000000$-39,107.000000$39.1k$39,107.000000$7,612.000000$26,755.000000$22,035.000000$46,719.000000$46.7k10760$-34,688.000000$-27,566.000000$-34,688.000000$34.7k$34,688.000000$9,241.000000$27,566.000000$19,558.000000$43,929.000000$43.9k171149
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 Ogle County and the Maryland Township
Maryland Township
Ogle County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma361.904762%81.761849%61.904762%61.9%1375.000000%78.018942%75.000000%75.0%9980.327869%72.231385%80.327869%80.3%4975.000000%61.306325%75.000000%75.0%6
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 Ogle County and the Maryland Township
Female Male
Ogle County
Maryland Township
Shaded bar tips show excess over facing bar.
10%5%0%5%10%MFWhite1-9.941520%-8.466444%-1.615984%-9.941520%9.9%9.941520%4.247669%8.466444%14.189189%14.2%2117
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 Ogle County and the Maryland Township
Female Male
Ogle County
Maryland Township
Shaded bar tips show excess over facing bar.
20%15%10%5%0%5%10%15%MFWhite1-2.027027%-8.499289%-19.635078%-1.610890%-10.526316%10.5%2.027027%19.635078%2.027027%2.0%318
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Rochelle Area

There are 24 county subdivisions in the Rochelle Area. This section compares the Maryland Township to all of the county subdivisions in the Rochelle Area and to those entities that contain or substantially overlap with the Maryland Township.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Maryland Township, selected other county subdivisions in the Rochelle Area, and entities that contain the Maryland Township
0%5%10%15%Count#Flagg TownshipFlaggLafayette TownshipLafayetteMount Morris TownshipMt MorrisBuffalo TownshipBuffaloUnited States of AmericaUnited StatesDement TownshipDementMaryland TownshipMarylandRochelle Metro AreaRochelle AreaOgle CountyOgleIllinoisPine Creek TownshipPne CrkEast North CentralOregon-Nashua TownshipOregon-NashuaMidwestRockvale TownshipRockvaleScott TownshipScottLeaf River TownshipLeaf RivWhite Rock TownshipWhite RockEagle Point TownshipEagle PtMonroe TownshipMonroeForrestville Valley Community Unit School District 221Forrestville Vly 221Forreston TownshipForrestonByron TownshipByronPine Rock TownshipPne Rock960800Tract 960800Lincoln TownshipLincolnMarion TownshipMarionWoosung TownshipWoosungLynnville TownshipLynnvilleGrand Detour TownshipGrand DetourTaylor TownshipTaylorBrookville TownshipBrookville19.247102%19.247102%19.2%1,677116.883117%16.883117%16.9%13216.641902%16.641902%16.6%448313.277778%13.277778%13.3%239413.020590%13.020590%13.0%27,818,38027.8M12.658228%12.658228%12.7%90512.187500%12.187500%12.2%39611.743891%11.743891%11.7%4,21511.743891%11.743891%11.7%4,21511.703119%11.703119%11.7%1,008,6081.01M11.083744%11.083744%11.1%45710.719464%10.719464%10.7%3,363,7843.36M10.457334%10.457334%10.5%375810.244520%10.244520%10.2%4,641,8354.64M9.580838%9.580838%9.6%12899.430980%9.430980%9.4%179109.302326%9.302326%9.3%84119.241706%9.241706%9.2%39129.230769%9.230769%9.2%12138.874657%8.874657%8.9%97148.756245%8.756245%8.8%3338.679928%8.679928%8.7%144158.371771%8.371771%8.4%363168.359621%8.359621%8.4%53178.317792%8.317792%8.3%2237.196970%7.196970%7.2%19185.494100%5.494100%5.5%149193.930131%3.930131%3.9%9203.087886%3.087886%3.1%13210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%024
Count number of people in category
# rank of county subdivision out of 24 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Maryland Township, selected other county subdivisions in the Rochelle Area, and entities that contain the Maryland Township
0%10%20%30%Count#Grand Detour TownshipGrand DetourEagle Point TownshipEagle PtIllinoisBrookville TownshipBrookvilleUnited States of AmericaUnited StatesMidwestEast North CentralByron TownshipByronTaylor TownshipTaylorRockvale TownshipRockvalePine Rock TownshipPne RockLynnville TownshipLynnvilleMount Morris TownshipMt MorrisMarion TownshipMarionRochelle Metro AreaRochelle AreaOgle CountyOgleScott TownshipScottBuffalo TownshipBuffaloWhite Rock TownshipWhite RockMonroe TownshipMonroeOregon-Nashua TownshipOregon-NashuaFlagg TownshipFlaggPine Creek TownshipPne Crk960800Tract 960800Leaf River TownshipLeaf RivDement TownshipDementForreston TownshipForrestonForrestville Valley Community Unit School District 221Forrestville Vly 221Lincoln TownshipLincolnWoosung TownshipWoosungMaryland TownshipMarylandLafayette TownshipLafayette34.384858%34.384858%34.4%218133.846154%33.846154%33.8%44232.893660%32.893660%32.9%2,834,8692.83M30.817610%30.817610%30.8%49330.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.136531%28.136531%28.1%1,220427.248677%27.248677%27.2%206527.170659%27.170659%27.2%363623.028391%23.028391%23.0%146722.802850%22.802850%22.8%96821.916790%21.916790%21.9%590921.423304%21.423304%21.4%5811019.837842%19.837842%19.8%7,12019.837842%19.837842%19.8%7,12019.020021%19.020021%19.0%3611118.111111%18.111111%18.1%3261217.772512%17.772512%17.8%751317.657823%17.657823%17.7%1931417.540435%17.540435%17.5%6291516.572937%16.572937%16.6%1,4441616.256158%16.256158%16.3%661714.994405%14.994405%15.0%40213.621262%13.621262%13.6%1231813.502110%13.502110%13.5%961913.080169%13.080169%13.1%2172012.910860%12.910860%12.9%49112.500000%12.500000%12.5%332110.043668%10.043668%10.0%23226.562500%6.562500%6.6%21230.000000%0.000000%0.0%024
Count number of people in category
# rank of county subdivision out of 24 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Maryland Township, selected other county subdivisions in the Rochelle Area, and entities that contain the Maryland Township
0%2%4%6%8%Count#Grand Detour TownshipGrand DetourTaylor TownshipTaylorPine Rock TownshipPne RockLincoln TownshipLincolnIllinoisUnited States of AmericaUnited StatesMidwestForreston TownshipForrestonEast North CentralPine Creek TownshipPne CrkLynnville TownshipLynnville960800Tract 960800Forrestville Valley Community Unit School District 221Forrestville Vly 221Dement TownshipDementBuffalo TownshipBuffaloRochelle Metro AreaRochelle AreaOgle CountyOgleLeaf River TownshipLeaf RivMonroe TownshipMonroeMarion TownshipMarionOregon-Nashua TownshipOregon-NashuaFlagg TownshipFlaggByron TownshipByronRockvale TownshipRockvaleMount Morris TownshipMt MorrisScott TownshipScottWhite Rock TownshipWhite RockMaryland TownshipMarylandWoosung TownshipWoosungBrookville TownshipBrookvilleEagle Point TownshipEagle PtLafayette TownshipLafayette8.359621%8.359621%8.4%5317.275132%7.275132%7.3%5524.258675%4.258675%4.3%2733.409091%3.409091%3.4%943.366505%3.366505%3.4%290,135290k3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.893309%2.893309%2.9%4852.855432%2.855432%2.9%896,039896k2.709360%2.709360%2.7%1162.137767%2.137767%2.1%972.126072%2.126072%2.1%571.630292%1.630292%1.6%621.547117%1.547117%1.5%1181.222222%1.222222%1.2%2291.217575%1.217575%1.2%4371.217575%1.217575%1.2%4371.107420%1.107420%1.1%10101.006404%1.006404%1.0%11110.958702%0.958702%1.0%26120.892359%0.892359%0.9%32130.734535%0.734535%0.7%64140.530443%0.530443%0.5%23150.523952%0.523952%0.5%7160.445765%0.445765%0.4%12170.316122%0.316122%0.3%6180.236967%0.236967%0.2%1190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%024
Count number of people in category
# rank of county subdivision out of 24 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#18

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Maryland Township, selected other county subdivisions in the Rochelle Area, and entities that contain the Maryland Township
Female
Male
10x5x0x5x10xFM#WoosungEagle PtPne RockPne CrkBuffaloMarionLincolnMonroeMarylandScottTract 960800MidwestEast North CentralForrestville Vly 221IllinoisUnited StatesForrestonFlaggRochelle AreaOgleLeaf RivMt MorrisDementRockvaleByronLynnvilleOregon-NashuaWhite RockLafayette-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.377%7.38%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%16.901%16.9%2-1.000000x-1.000000x2.973206x2.973206x2.97x4.068%4.07%12.094%12.1%3-1.000000x-1.000000x2.592105x2.592105x2.59x6.091%6.09%15.789%15.8%4-1.000000x-1.000000x1.879439x1.879439x1.88x9.404%9.40%17.675%17.7%5-1.000000x-1.000000x1.692865x1.692865x1.69x4.091%4.09%6.925%6.92%6-1.000000x-1.000000x1.650000x1.650000x1.65x5.556%5.56%9.167%9.17%7-1.000000x-1.000000x1.643336x1.643336x1.64x6.654%6.65%10.935%10.9%8-1.000000x-1.000000x1.485195x1.485195x1.49x9.942%9.94%14.765%14.8%9-1.000000x-1.000000x1.249917x1.249917x1.25x8.378%8.38%10.471%10.5%10-1.000000x-1.000000x1.151727x1.151727x1.15x7.743%7.74%8.918%8.92%-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-1.000000x1.115843x1.115843x1.12x8.281%8.28%9.241%9.24%-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-1.000000x1.071255x1.071255x1.07x8.383%8.38%8.981%8.98%11-1.049801x-1.049801x1.05x1.000000x1.000000x19.721%19.7%18.785%18.8%12-1.133258x-1.133258x1.13x1.000000x1.000000x12.463%12.5%10.998%11.0%-1.133258x-1.133258x1.13x1.000000x1.000000x12.463%12.5%10.998%11.0%-1.272727x-1.272727x1.27x1.000000x1.000000x10.390%10.4%8.163%8.16%13-1.276026x-1.276026x1.28x1.000000x1.000000x18.262%18.3%14.312%14.3%14-1.582370x-1.582370x1.58x1.000000x1.000000x15.607%15.6%9.863%9.86%15-2.017903x-2.017903x2.02x1.000000x1.000000x13.009%13.0%6.447%6.45%16-2.102849x-2.102849x2.10x1.000000x1.000000x11.195%11.2%5.324%5.32%17-2.218160x-2.218160x2.22x1.000000x1.000000x4.245%4.25%1.914%1.91%18-2.335575x-2.335575x2.34x1.000000x1.000000x14.219%14.2%6.088%6.09%19-2.746082x-2.746082x2.75x1.000000x1.000000x13.793%13.8%5.023%5.02%20-10.000000x-10.000000x> 10.0x1.000000x1.000000x35.135%35.1%0.000%0%21
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 21 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 Maryland Township to the 50 most populous county subdivisions in Illinois and to those entities that contain or substantially overlap with the Maryland Township. The least populous of the compared county subdivisions has a population of 54,812.

No H.S. Diploma by County Subdivision#19

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Maryland Township, selected other county subdivisions in Illinois, and entities that contain the Maryland 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 TownshipLockportMaryland TownshipMarylandBloomingdale TownshipBloomingdalePeoria City TownshipPeoria CityDu Page TownshipDu PageLyons TownshipLyonsRochelle Metro AreaRochelle AreaOgle CountyOgleIllinoisElk Grove TownshipElk GrvMaine TownshipMaineEast North CentralWorth TownshipWorthBremen TownshipBremenMidwestNiles TownshipNilesForrestville Valley Community Unit School District 221Forrestville Vly 221Capital TownshipCapitalPalos TownshipPalosWayne TownshipWayneWheeling TownshipWheelingPalatine TownshipPalatine960800Tract 960800Schaumburg TownshipSchaumburgPlainfield TownshipPlainfieldWarren TownshipWarrenRich 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%5,1981712.187500%12.187500%12.2%3912.171847%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%8,9082111.743891%11.743891%11.7%4,21511.743891%11.743891%11.7%4,21511.703119%11.703119%11.7%1,008,6081.01M11.515152%11.515152%11.5%7,5432211.132206%11.132206%11.1%10,96511.0k2310.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k2410.610291%10.610291%10.6%7,8672510.244520%10.244520%10.2%4,641,8354.64M9.916103%9.916103%9.9%7,659268.756245%8.756245%8.8%3338.623103%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%6,695318.317792%8.317792%8.3%2237.739434%7.739434%7.7%7,226327.080707%7.080707%7.1%3,426337.009572%7.009572%7.0%2,900346.047812%6.047812%6.0%3,223356.014252%6.014252%6.0%2,878365.916957%5.916957%5.9%4,154375.784297%5.784297%5.8%3,411385.461095%5.461095%5.5%4,715395.266517%5.266517%5.3%4,126404.581501%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#20

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Maryland Township, selected other county subdivisions in Illinois, and entities that contain the Maryland 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 TownshipProvisoWorth TownshipWorthElgin TownshipElginAddison TownshipAddisonBremen TownshipBremenLockport TownshipLockportBloom TownshipBloomRockford TownshipRockfordBerwyn TownshipBerwynLeyden TownshipLeydenRochelle Metro AreaRochelle AreaOgle CountyOgleThornton TownshipThorntonAurora TownshipAurora960800Tract 960800Joliet TownshipJolietForrestville Valley Community Unit School District 221Forrestville Vly 221Waukegan TownshipWaukeganCicero TownshipCiceroMaryland TownshipMaryland82.981240%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%27,03327.0k3625.217641%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%12,89912.9k4519.837842%19.837842%19.8%7,12019.837842%19.837842%19.8%7,12018.971090%18.971090%19.0%21,01221.0k4615.929601%15.929601%15.9%14,19214.2k4714.994405%14.994405%15.0%40214.331954%14.331954%14.3%7,7934812.910860%12.910860%12.9%49112.345126%12.345126%12.3%6,616497.338372%7.338372%7.3%3,437506.562500%6.562500%6.6%21
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#21

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 Maryland Township, selected other county subdivisions in Illinois, and entities that contain the Maryland Township
0%5%10%15%Count#New Trier TownshipNew TrierEvanston TownshipEvanstonNorthfield TownshipNorthfieldChampaign City TownshipChampaign CityVernon TownshipVernonDowners Grove TownshipDowners GrvYork TownshipWheatland TownshipWheatlandLisle TownshipLisleMilton TownshipMiltonNiles TownshipNilesLyons TownshipLyonsNaperville TownshipNapervilleChicagoBloomington City TownshipBloomington CityCapital TownshipCapitalWarren TownshipWarrenMaine TownshipMaineRich TownshipFrankfort TownshipFrankfortOrland TownshipOrlandPalatine TownshipPalatineWheeling TownshipWheelingIllinoisUnited States of AmericaUnited StatesPeoria City TownshipPeoria CityPalos TownshipPalosMidwestDu Page TownshipDu PageEast North CentralSchaumburg TownshipSchaumburgElk Grove TownshipElk GrvWayne TownshipWayneAlgonquin TownshipAlgonquinAvon TownshipProviso TownshipProviso960800Tract 960800Bloomingdale TownshipBloomingdaleRockford TownshipRockfordWorth TownshipWorthHanover TownshipHanoverBremen TownshipBremenBloom TownshipBloomForrestville Valley Community Unit School District 221Forrestville Vly 221Berwyn TownshipBerwynPlainfield TownshipPlainfieldDundee TownshipDundeeAddison TownshipAddisonElgin TownshipElginLeyden TownshipLeydenRochelle Metro AreaRochelle AreaOgle CountyOgleLockport TownshipLockportAurora TownshipAuroraThornton TownshipThorntonJoliet TownshipJolietWaukegan TownshipWaukeganCicero TownshipCiceroMaryland TownshipMaryland19.288111%19.288111%19.3%7,012113.179947%13.179947%13.2%6,307210.526826%10.526826%10.5%6,512310.324904%10.324904%10.3%4,78947.745304%7.745304%7.7%3,62057.658384%7.658384%7.7%7,93666.197734%6.197734%6.2%5,35176.195792%6.195792%6.2%3,13685.933545%5.933545%5.9%4,83495.800061%5.800061%5.8%4,544105.751055%5.751055%5.8%4,442114.805065%4.805065%4.8%3,605124.772487%4.772487%4.8%3,157134.485379%4.485379%4.5%82,18982.2k144.406800%4.406800%4.4%2,245154.233985%4.233985%4.2%3,357164.113893%4.113893%4.1%1,702174.030539%4.030539%4.0%3,970184.004353%4.004353%4.0%2,134193.702843%3.702843%3.7%1,434203.647888%3.647888%3.6%2,561213.487439%3.487439%3.5%2,782223.407574%3.407574%3.4%3,779233.366505%3.366505%3.4%290,135290k3.336158%3.336158%3.3%7,127,6737.13M3.226630%3.226630%3.2%2,149243.195580%3.195580%3.2%1,255252.893416%2.893416%2.9%1,311,0191.31M2.860886%2.860886%2.9%1,616262.855432%2.855432%2.9%896,039896k2.551250%2.551250%2.6%2,382272.549424%2.549424%2.5%1,670282.359543%2.359543%2.4%1,068292.348652%2.348652%2.3%1,385302.303939%2.303939%2.3%916312.213918%2.213918%2.2%2,281322.126072%2.126072%2.1%572.113682%2.113682%2.1%1,628332.067272%2.067272%2.1%2,416341.958049%1.958049%2.0%2,049351.949999%1.949999%1.9%1,294361.700722%1.700722%1.7%1,261371.656963%1.656963%1.7%979381.630292%1.630292%1.6%621.588715%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%905441.217575%1.217575%1.2%4371.217575%1.217575%1.2%4371.122396%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%102500.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#22

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 Maryland Township, selected other county subdivisions in Illinois, and entities that contain the Maryland Township
Female
Male
1x0x1xFM#PlainfieldLockportMarylandNapervilleBremenBloomAvon TownshipRich TownshipDu PageThorntonJolietProvisoRockfordBerwynTract 960800PalosElginElk GrvMidwestEast North CentralWarrenPeoria CityForrestville Vly 221IllinoisUnited StatesWorthAuroraWheelingHanoverSchaumburgBloomington CityLeydenAddisonChicagoCiceroPalatineCapitalLyonsYork TownshipBloomingdaleFrankfortDundeeWaukeganAlgonquinNilesLisleWayneChampaign CityRochelle AreaOgleDowners 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-1.000000x1.485195x1.485195x1.49x9.942%9.94%14.765%14.8%-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-1.000000x1.204737x1.204737x1.20x10.806%10.8%13.018%13.0%8-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%9-1.000000x-1.000000x1.181052x1.181052x1.18x20.931%20.9%24.720%24.7%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.164237x1.164237x1.16x19.784%19.8%23.034%23.0%13-1.000000x-1.000000x1.151727x1.151727x1.15x7.743%7.74%8.918%8.92%-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-1.000000x1.115843x1.115843x1.12x8.281%8.28%9.241%9.24%-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%41-1.133258x-1.133258x1.13x1.000000x1.000000x12.463%12.5%10.998%11.0%-1.133258x-1.133258x1.13x1.000000x1.000000x12.463%12.5%10.998%11.0%-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

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#23

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Maryland Township, selected other county subdivisions in the Midwest, and entities that contain the Maryland 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 TownshipOmahaMaryland TownshipMarylandBloomingdale TownshipBloomingdaleRochelle Metro AreaRochelle AreaOgle CountyOgleIllinoisColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsForrestville Valley Community Unit School District 221Forrestville Vly 221Capital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatine960800Tract 960800Schaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.187500%12.187500%12.2%3912.171847%12.171847%12.2%9,3752611.743891%11.743891%11.7%4,21511.743891%11.743891%11.7%4,21511.703119%11.703119%11.7%1,008,6081.01M11.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.756245%8.756245%8.8%3338.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695378.317792%8.317792%8.3%2237.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#24

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Maryland Township, selected other county subdivisions in the Midwest, and entities that contain the Maryland 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 TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrRochelle Metro AreaRochelle AreaOgle CountyOgleNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue Township960800Tract 960800DetroitForrestville Valley Community Unit School District 221Forrestville Vly 221Maryland TownshipMaryland72.810169%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%27,03327.0k3425.217641%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%19,93119.9k3919.837842%19.837842%19.8%7,12019.837842%19.837842%19.8%7,12019.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4914.994405%14.994405%15.0%40213.833543%13.833543%13.8%59,72359.7k5012.910860%12.910860%12.9%4916.562500%6.562500%6.6%21
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#25

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 Maryland Township, selected other county subdivisions in the Midwest, and entities that contain the Maryland Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingIllinoisColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkron960800Tract 960800Bloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoForrestville Valley Community Unit School District 221Forrestville Vly 221North TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonRochelle Metro AreaRochelle AreaOgle CountyOgleWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonMaryland TownshipMaryland17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.366505%3.366505%3.4%290,135290k3.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.126072%2.126072%2.1%572.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.630292%1.630292%1.6%621.575684%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%1,106451.217575%1.217575%1.2%4371.217575%1.217575%1.2%4371.183365%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%971500.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#26

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 Maryland Township, selected other county subdivisions in the Midwest, and entities that contain the Maryland Township
Female
Male
1x0x1xFM#MarylandCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipTract 960800WayneMidwestTopekaEast North CentralMilwaukeeForrestville Vly 221Kaw TownshipDaytonIllinoisSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsRochelle AreaOgleDowners GrvMiltonMaine-1.000000x-1.000000x1.485195x1.485195x1.49x9.942%9.94%14.765%14.8%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.151727x1.151727x1.15x7.743%7.74%8.918%8.92%-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-1.000000x1.115843x1.115843x1.12x8.281%8.28%9.241%9.24%-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%47-1.133258x-1.133258x1.13x1.000000x1.000000x12.463%12.5%10.998%11.0%-1.133258x-1.133258x1.13x1.000000x1.000000x12.463%12.5%10.998%11.0%-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

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#27

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Maryland Township, selected other county subdivisions in the United States, and entities that contain the Maryland 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 FranciscoTucsonMaryland TownshipMarylandAlbuquerqueRochelle Metro AreaRochelle AreaOgle CountyOgleIllinoisTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSeattleForrestville Valley Community Unit School District 221Forrestville Vly 221Northeast TarrantNE Tarrant960800Tract 960800PlanoSeattle 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%70,40970.4k3712.187500%12.187500%12.2%3912.089143%12.089143%12.1%52,21752.2k3811.743891%11.743891%11.7%4,21511.743891%11.743891%11.7%4,21511.703119%11.703119%11.7%1,008,6081.01M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.833573%8.833573%8.8%66,22066.2k478.756245%8.756245%8.8%3338.418271%8.418271%8.4%31,44331.4k488.317792%8.317792%8.3%2235.714681%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#28

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Maryland Township, selected other county subdivisions in the United States, and entities that contain the Maryland 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 VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoRochelle Metro AreaRochelle AreaOgle CountyOgleBronxSan Bernardino960800Tract 960800San Antonio CentralSan Antonio CntrlDetroitForrestville Valley Community Unit School District 221Forrestville Vly 221Maryland TownshipMaryland60.434640%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%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.837842%19.837842%19.8%7,12019.837842%19.837842%19.8%7,12019.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.994405%14.994405%15.0%40214.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5012.910860%12.910860%12.9%4916.562500%6.562500%6.6%21
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#29

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 Maryland Township, selected other county subdivisions in the United States, and entities that contain the Maryland Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoIllinoisColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas Vegas960800Tract 960800MilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxForrestville Valley Community Unit School District 221Forrestville Vly 221DetroitRochelle Metro AreaRochelle AreaOgle CountyOgleMaryland TownshipMaryland12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.366505%3.366505%3.4%290,135290k3.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.126072%2.126072%2.1%572.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.630292%1.630292%1.6%621.318660%1.318660%1.3%5,693501.217575%1.217575%1.2%4371.217575%1.217575%1.2%4370.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#30

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 Maryland Township, selected other county subdivisions in the United States, and entities that contain the Maryland Township
Female
Male
1x0x1xFM#Maryland1, CharlotteDetroitBaltimoreTulsaSW DallasTract 960800MidwestFresnoEast North CentralMilwaukeeForrestville Vly 221IllinoisUnited 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 JoseRochelle AreaOgleSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.485195x1.485195x1.49x9.942%9.94%14.765%14.8%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.151727x1.151727x1.15x7.743%7.74%8.918%8.92%-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-1.000000x1.115843x1.115843x1.12x8.281%8.28%9.241%9.24%-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%47-1.133258x-1.133258x1.13x1.000000x1.000000x12.463%12.5%10.998%11.0%-1.133258x-1.133258x1.13x1.000000x1.000000x12.463%12.5%10.998%11.0%-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

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

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More Maps to Explore

State:
Illinois
County:
Ogle
Metro Area:
Rochelle Area
Villages:
Adeline, Forreston
ZIP Codes:
61007, 61030, 61039, 61047
Unified School District:
Forrestville Valley 221
Congressional District:
IL-16
State Senate District:
IL-45
State House District:
IL-89
Neighboring Townships:
Forreston, Leaf River, Lincoln, Mount Morris, Ridott, Silver Creek
Nearby Townships:
Brookville, Buffalo, Byron, Cherry Grove-Shannon, Florence, Freeport, Lancaster, Pine Creek, Rockvale, Seward