Educational Attainment in the Makanda Township, Jackson County, Illinois (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Jackson County and the Makanda Township
Makanda Township
Jackson County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma264.410855%44.735492%64.410855%64.4%1,87534.386809%47.520237%34.386809%34.4%1,0011.202336%7.744271%1.202336%1.2%35
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 Jackson County at large.
Scope: population of Jackson County and the Makanda Township
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma243.981551%43.981551%+44.0%64.411%64.4%44.735%44.7%-27.637548%-27.637548%-27.6%34.387%34.4%47.520%47.5%-84.474510%-84.474510%-84.5%1.202%1.20%7.744%7.74%
% percentage with given level in the Makanda Township
ref. percentage with given level in Jackson 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 Jackson County and the Makanda Township
Makanda Township
Jackson County
0%5%10%15%20%25%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None6.561319%3.845058%6.561319%6.6%1915.358983%2.206134%5.358983%5.4%15616.798351%12.262000%16.798351%16.8%48926.760563%17.592065%26.760563%26.8%7798.931639%8.830236%8.931639%8.9%26019.306080%22.765363%19.306080%19.3%56215.080728%24.754874%15.080728%15.1%4391.202336%4.466423%1.202336%1.2%350.000000%0.000000%0.0%2.619428%00.000000%0.000000%0.0%0.658420%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 Jackson County at large.
Scope: population of Jackson County and the Makanda Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None70.642936%70.642936%+70.6%6.561%6.56%3.845%3.85%142.912875%142.912875%+142.9%5.359%5.36%2.206%2.21%36.995200%36.995200%+37.0%16.798%16.8%12.262%12.3%52.117240%52.117240%+52.1%26.761%26.8%17.592%17.6%1.148357%1.148357%+1.1%8.932%8.93%8.830%8.83%-15.195377%-15.195377%-15.2%19.306%19.3%22.765%22.8%-39.079762%-39.079762%-39.1%15.081%15.1%24.755%24.8%-73.080565%-73.080565%-73.1%1.202%1.20%4.466%4.47%-100.000000%-100.000000%-100.0%0.000%0%2.619%2.62%-100.000000%-100.000000%-100.0%0.000%0%0.658%0.66%
% percentage with given level in the Makanda Township
ref. percentage with given level in Jackson 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 Jackson County and the Makanda Township
More Females More Males
Jackson County
Makanda Township
100%50%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-8.222586%-9.579238%-8.222586%8%67.046%67.0%61.952%62.0%19.432672%10.128906%19.432672%19%31.246%31.2%37.317%37.3%-133.866063%-6.606527%-133.866063%134%1.708%1.71%0.730%0.73%
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 Jackson County and the Makanda Township
More Females More Males
Jackson County
Makanda Township
100%0%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3149.380682%33.953219%149.380682%149%3.701%3.70%9.230%9.23%-12.830118%-12.830118%13%34.609321%5.694%5.69%5.046%5.05%-87.278980%-21.826789%-87.278980%87%22.135%22.1%11.819%11.8%-7.464161%-5.450256%-7.464161%7%27.758%27.8%25.830%25.8%-33.220492%29.241444%29.241444%29%7.758%7.76%10.027%10.0%-6.428409%-6.428409%6%8.729073%19.929%19.9%18.725%18.7%64.290427%11.432782%64.290427%64%11.317%11.3%18.592%18.6%-133.866063%-14.847983%-133.866063%134%1.708%1.71%0.730%0.73%
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 Jackson County and the Makanda Township
Makanda Township
Jackson County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-3423.747981%13.231126%23.747981%23.7%14761926.888218%14.850083%26.888218%26.9%3561,32428.868360%19.192588%28.868360%28.9%12543328.224299%24.477891%28.224299%28.2%151535
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 Jackson County at large.
Scope: population of Jackson County and the Makanda Township
0%20%40%60%80%%ref.65+45-6435-4425-3479.485711%79.485711%79.5%23.748%23.7%13.231%13.2%81.064430%81.064430%81.1%26.888%26.9%14.850%14.9%50.414112%50.414112%50.4%28.868%28.9%19.193%19.2%15.305275%15.305275%15.3%28.224%28.2%24.478%24.5%
% percentage in the Makanda Township with a Bachelor's degree
ref percentage in Jackson 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 Jackson County and the Makanda Township
More Females More Males
Jackson County
Makanda Township
150%100%50%0%FM65+45-6435-4425-34-23.922668%-23.922668%23.9%21.517028%26.299%26.3%21.222%21.2%-8.987252%13.778323%13.778323%13.8%25.041%25.0%28.491%28.5%-156.060606%-156.060606%156.1%3.456405%37.879%37.9%14.793%14.8%-34.169341%20.034414%20.034414%20.0%25.229%25.2%30.284%30.3%
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 Jackson County and the Makanda Township
Makanda Township
Jackson County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$50,278.000000$41,301.000000$50,278.000000$50.3k83628.719%28.7%$40,250.000000$31,313.000000$40,250.000000$40.3k77926.761%26.8%$21,875.000000$27,446.000000$21,875.000000$21.9k82228.238%28.2%$35,278.000000$24,264.000000$35,278.000000$35.3k43915.081%15.1%$34,464.000000$28,788.000000$34,464.000000$34.5k2,911100.000%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 Jackson County and the Makanda Township
Female Male
Jackson County
Makanda Township
Shaded bar tips show excess over facing bar.
$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-46,042.000000$-40,932.000000$-510.000000$-46,042.000000$46.0k$46,042.000000$15,521.000000$40,932.000000$61,563.000000$61.6k443393$-29,000.000000$-28,983.000000$-29,000.000000$29.0k$29,000.000000$23,083.000000$28,983.000000$8,406.000000$52,083.000000$52.1k390389$-19,853.000000$-22,978.000000$-19,853.000000$19.9k$19,853.000000$10,633.000000$22,978.000000$8,990.000000$30,486.000000$30.5k389433$-34,896.000000$-506.000000$-22,640.000000$-35,402.000000$35.4k$34,896.000000$22,640.000000$3,158.000000$34,896.000000$34.9k159280$-28,173.000000$-26,403.000000$-28,173.000000$28.2k$28,173.000000$14,977.000000$26,403.000000$5,239.000000$43,150.000000$43.2k1,4051,506
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 Jackson County and the Makanda Township
Makanda Township
Jackson County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma373.789393%75.806452%73.789393%73.8%96074.735250%69.090136%74.735250%74.7%49480.921053%62.884900%80.921053%80.9%24626.923077%29.360646%26.923077%26.9%7
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 Jackson County and the Makanda Township
Female Male
Jackson County
Makanda Township
Shaded bar tips show excess over facing bar.
15%10%5%0%5%10%MFWhite1BlackAsianHispanic2Other1-0.423729%-7.252451%-0.832954%-0.423729%0.4%0.423729%0.408974%7.252451%0.832702%0.8%115-0.000000%-19.191919%-11.805556%-19.191919%19.2%0.000000%11.805556%0.147959%0.000000%0.0%019-0.000000%-0.951087%-0.876589%0.000000%0.0%0.000000%0.000000%0.951087%0.000000%0.0%00-0.000000%-5.837563%0.000000%0.0%0.000000%0.000000%5.837563%3.498536%0.000000%0.0%00-0.000000%-3.361345%0.000000%0.0%0.000000%0.000000%3.361345%4.158981%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Jackson County and the Makanda Township
Female Male
Jackson County
Makanda Township
Shaded bar tips show excess over facing bar.
100%50%0%50%100%MFWhite1BlackAsianHispanic2Other1-52.611658%-3.829020%-35.736610%-0.014177%-56.440678%56.4%52.611658%35.736610%52.611658%52.6%695666-26.666667%-31.919192%-23.242944%-2.398082%-58.585859%58.6%26.666667%23.242944%26.666667%26.7%2458-90.322581%-62.092391%-17.933718%-90.322581%90.3%90.322581%9.677419%62.092391%100.000000%100.0%4984-17.857143%-28.809524%-24.066390%-12.735640%-46.666667%46.7%17.857143%24.066390%17.857143%17.9%57-50.000000%-50.000000%-18.902439%-11.139578%-100.000000%100.0%50.000000%18.902439%50.000000%50.0%918
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 Carbondale Area

There are 28 county subdivisions in the Carbondale Area. This section compares the Makanda Township to all of the county subdivisions in the Carbondale Area and to those entities that contain or substantially overlap with the Makanda 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 Makanda Township, selected other county subdivisions in the Carbondale Area, and entities that contain the Makanda Township
0%5%10%15%Count#Grand Tower TownshipGrand TowerCorinth PrecinctCorinthKinkaid TownshipKinkaidElk TownshipBradley TownshipBradleyUnited States of AmericaUnited StatesStonefort PrecinctStonefortLake Creek PrecinctLk CrkIllinoisCreal Springs PrecinctCreal SpgsMurphysboro TownshipMurphysboroBlairsville PrecinctBlairsvilleWest Marion PrecinctW MarionDe Soto TownshipDe SotoEast North CentralHerrin PrecinctHerrinPomona TownshipPomonaMidwestSouthern PrecinctSCrab Orchard PrecinctCrab OrchCarbondale and Marion Metro AreaCarbondaleSomerset TownshipSomersetJackson CountyJacksonDegognia TownshipDegogniaGrassy PrecinctGrassyCarterville PrecinctCartervilleEast Marion PrecinctE MarionLevan TownshipLevanSand Ridge TownshipSand RdgCarbondale TownshipCarbondaleVergennes TownshipVergennesOra TownshipMakanda TownshipMakandaFountain Bluff TownshipFountain Bluff19.545455%19.545455%19.5%86118.075423%18.075423%18.1%139214.914425%14.914425%14.9%61313.888889%13.888889%13.9%200413.259259%13.259259%13.3%179513.020590%13.020590%13.0%27,818,38027.8M12.429379%12.429379%12.4%88611.959198%11.959198%12.0%340711.703119%11.703119%11.7%1,008,6081.01M11.423335%11.423335%11.4%187811.328513%11.328513%11.3%799911.072493%11.072493%11.1%4461011.049058%11.049058%11.0%1,0091110.967742%10.967742%11.0%1871210.719464%10.719464%10.7%3,363,7843.36M10.469964%10.469964%10.5%1,1051310.251799%10.251799%10.3%571410.244520%10.244520%10.2%4,641,8354.64M9.763206%9.763206%9.8%268159.408341%9.408341%9.4%97168.907345%8.907345%8.9%7,3367.968000%7.968000%8.0%249177.744271%7.744271%7.7%2,7177.142857%7.142857%7.1%9186.830601%6.830601%6.8%25196.798867%6.798867%6.8%408206.795336%6.795336%6.8%507216.000000%6.000000%6.0%30225.535714%5.535714%5.5%31235.493409%5.493409%5.5%771243.376623%3.376623%3.4%13252.673797%2.673797%2.7%10261.202336%1.202336%1.2%35270.000000%0.000000%0.0%028
Count number of people in category
# rank of county subdivision out of 28 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 Makanda Township, selected other county subdivisions in the Carbondale Area, and entities that contain the Makanda Township
0%20%40%Count#Makanda TownshipMakandaCarbondale TownshipCarbondaleGrassy PrecinctGrassyJackson CountyJacksonCarterville PrecinctCartervilleIllinoisUnited States of AmericaUnited StatesMidwestEast North CentralCarbondale and Marion Metro AreaCarbondaleMurphysboro TownshipMurphysboroDe Soto TownshipDe SotoWest Marion PrecinctW MarionEast Marion PrecinctE MarionSomerset TownshipSomersetBradley TownshipBradleyLevan TownshipLevanPomona TownshipPomonaCreal Springs PrecinctCreal SpgsOra TownshipVergennes TownshipVergennesHerrin PrecinctHerrinBlairsville PrecinctBlairsvilleSouthern PrecinctSCrab Orchard PrecinctCrab OrchDegognia TownshipDegogniaElk TownshipLake Creek PrecinctLk CrkSand Ridge TownshipSand RdgStonefort PrecinctStonefortGrand Tower TownshipGrand TowerKinkaid TownshipKinkaidFountain Bluff TownshipFountain BluffCorinth PrecinctCorinth55.479217%55.479217%55.5%1,615149.091557%49.091557%49.1%6,890238.797814%38.797814%38.8%142335.905256%35.905256%35.9%12,59712.6k35.194134%35.194134%35.2%2,112432.893660%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%8,931,6868.93M27.966585%27.966585%28.0%23,03323.0k27.789593%27.789593%27.8%1,960525.747801%25.747801%25.7%439625.624179%25.624179%25.6%2,340722.557298%22.557298%22.6%1,683822.528000%22.528000%22.5%704922.222222%22.222222%22.2%3001021.200000%21.200000%21.2%1061120.863309%20.863309%20.9%1161219.914478%19.914478%19.9%3261319.786096%19.786096%19.8%741419.220779%19.220779%19.2%741518.893311%18.893311%18.9%1,9941618.619662%18.619662%18.6%7501718.105647%18.105647%18.1%4971814.354995%14.354995%14.4%1481913.492063%13.492063%13.5%172012.291667%12.291667%12.3%1772111.924024%11.924024%11.9%3392211.428571%11.428571%11.4%642310.451977%10.451977%10.5%74247.272727%7.272727%7.3%32255.623472%5.623472%5.6%23265.217391%5.217391%5.2%6274.031209%4.031209%4.0%3128
Count number of people in category
# rank of county subdivision out of 28 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 Makanda Township, selected other county subdivisions in the Carbondale Area, and entities that contain the Makanda Township
0%5%10%Count#Makanda TownshipMakandaCarbondale TownshipCarbondaleJackson CountyJacksonGrassy PrecinctGrassyCarterville PrecinctCartervilleSouthern PrecinctSCarbondale and Marion Metro AreaCarbondaleSomerset TownshipSomersetMurphysboro TownshipMurphysboroIllinoisUnited States of AmericaUnited StatesDe Soto TownshipDe SotoCrab Orchard PrecinctCrab OrchKinkaid TownshipKinkaidMidwestEast North CentralWest Marion PrecinctW MarionVergennes TownshipVergennesSand Ridge TownshipSand RdgLake Creek PrecinctLk CrkBlairsville PrecinctBlairsvilleEast Marion PrecinctE MarionHerrin PrecinctHerrinPomona TownshipPomonaElk TownshipStonefort PrecinctStonefortCreal Springs PrecinctCreal SpgsBradley TownshipBradleyCorinth PrecinctCorinthOra TownshipLevan TownshipLevanGrand Tower TownshipGrand TowerDegognia TownshipDegogniaFountain Bluff TownshipFountain Bluff11.920302%11.920302%11.9%34719.326683%9.326683%9.3%1,30926.051191%6.051191%6.1%2,1236.010929%6.010929%6.0%2233.982670%3.982670%4.0%23943.970856%3.970856%4.0%10953.822290%3.822290%3.8%3,1483.712000%3.712000%3.7%11663.487877%3.487877%3.5%24673.366505%3.366505%3.4%290,135290k3.336158%3.336158%3.3%7,127,6737.13M3.049853%3.049853%3.0%5283.006790%3.006790%3.0%3192.933985%2.933985%2.9%12102.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.682873%2.682873%2.7%245112.337662%2.337662%2.3%9121.964286%1.964286%2.0%11131.864228%1.864228%1.9%53141.762661%1.762661%1.8%71151.527945%1.527945%1.5%114161.184385%1.184385%1.2%125171.079137%1.079137%1.1%6181.041667%1.041667%1.0%15190.988701%0.988701%1.0%7200.549786%0.549786%0.5%9210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%028
Count number of people in category
# rank of county subdivision out of 28 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 Makanda Township, selected other county subdivisions in the Carbondale Area, and entities that contain the Makanda Township
Female
Male
10x5x0x5x10xFM#DegogniaGrassySSand RdgCreal SpgsLk CrkLevanHerrinVergennesBlairsvilleSomersetMidwestEast North CentralIllinoisUnited StatesKinkaidCarbondaleDe SotoE MarionElk TownshipJacksonGrand TowerW MarionMurphysboroCorinthCrab OrchCarbondaleBradleyStonefortPomonaCartervilleMakandaOra Township-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.254%15.3%1-1.000000x-1.000000x5.484637x5.484637x5.48x2.139%2.14%11.732%11.7%2-1.000000x-1.000000x3.550695x3.550695x3.55x3.430%3.43%12.179%12.2%3-1.000000x-1.000000x3.344444x3.344444x3.34x2.907%2.91%9.722%9.72%4-1.000000x-1.000000x2.203554x2.203554x2.20x6.986%6.99%15.394%15.4%5-1.000000x-1.000000x2.026317x2.026317x2.03x7.986%7.99%16.183%16.2%6-1.000000x-1.000000x1.783444x1.783444x1.78x4.331%4.33%7.724%7.72%7-1.000000x-1.000000x1.556679x1.556679x1.56x8.342%8.34%12.986%13.0%8-1.000000x-1.000000x1.460039x1.460039x1.46x2.804%2.80%4.094%4.09%9-1.000000x-1.000000x1.326196x1.326196x1.33x9.583%9.58%12.708%12.7%10-1.000000x-1.000000x1.197301x1.197301x1.20x7.340%7.34%8.789%8.79%11-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.103296x1.103296x1.10x14.136%14.1%15.596%15.6%12-1.000000x-1.000000x1.101816x1.101816x1.10x8.481%8.48%9.345%9.34%-1.000000x-1.000000x1.062505x1.062505x1.06x10.623%10.6%11.287%11.3%13-1.000000x-1.000000x1.035809x1.035809x1.04x6.680%6.68%6.920%6.92%14-1.024191x-1.024191x1.02x1.000000x1.000000x14.052%14.1%13.720%13.7%15-1.066065x-1.066065x1.07x1.000000x1.000000x7.990%7.99%7.495%7.49%-1.071078x-1.071078x1.07x1.000000x1.000000x20.321%20.3%18.972%19.0%16-1.077238x-1.077238x1.08x1.000000x1.000000x11.445%11.4%10.624%10.6%17-1.099165x-1.099165x1.10x1.000000x1.000000x11.871%11.9%10.800%10.8%18-1.171089x-1.171089x1.17x1.000000x1.000000x19.410%19.4%16.575%16.6%19-1.185069x-1.185069x1.19x1.000000x1.000000x10.216%10.2%8.621%8.62%20-1.202686x-1.202686x1.20x1.000000x1.000000x5.999%6.00%4.988%4.99%21-1.283804x-1.283804x1.28x1.000000x1.000000x14.836%14.8%11.556%11.6%22-1.401940x-1.401940x1.40x1.000000x1.000000x14.530%14.5%10.364%10.4%23-1.489975x-1.489975x1.49x1.000000x1.000000x12.719%12.7%8.537%8.54%24-1.646057x-1.646057x1.65x1.000000x1.000000x8.349%8.35%5.072%5.07%25-2.338661x-2.338661x2.34x1.000000x1.000000x1.708%1.71%0.730%0.73%26-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.950%4.95%0.000%0%27
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 27 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Makanda Township, selected other county subdivisions in the Carbondale Area, and entities that contain the Makanda Township
Female
Male
10x5x0x5x10xFM#Creal SpgsStonefortPomonaCrab OrchGrassyLk CrkMurphysboroW MarionE MarionSEast North CentralMidwestCartervilleUnited StatesMakandaIllinoisCarbondaleJacksonCarbondaleBlairsvilleDe SotoSomersetElk TownshipHerrinSand RdgKinkaidVergennes-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.042%1.04%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.961%1.96%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.829%1.83%3-1.000000x-1.000000x5.070498x5.070498x5.07x0.982%0.98%4.981%4.98%4-1.000000x-1.000000x4.701117x4.701117x4.70x2.139%2.14%10.056%10.1%5-1.000000x-1.000000x4.059243x4.059243x4.06x0.751%0.75%3.048%3.05%6-1.000000x-1.000000x2.952173x2.952173x2.95x1.753%1.75%5.176%5.18%7-1.000000x-1.000000x2.479728x2.479728x2.48x1.565%1.57%3.882%3.88%8-1.000000x-1.000000x2.251214x2.251214x2.25x0.954%0.95%2.148%2.15%9-1.000000x-1.000000x2.217350x2.217350x2.22x2.111%2.11%4.680%4.68%10-1.000000x-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-1.000000x1.548144x1.548144x1.55x3.163%3.16%4.896%4.90%11-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.519553x1.519553x1.52x9.395%9.40%14.276%14.3%12-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.456028x1.456028x1.46x3.120%3.12%4.543%4.54%-1.000000x-1.000000x1.341920x1.341920x1.34x5.174%5.17%6.943%6.94%-1.000000x-1.000000x1.264886x1.264886x1.26x8.236%8.24%10.418%10.4%13-1.000000x-1.000000x1.008896x1.008896x1.01x1.755%1.76%1.771%1.77%14-1.001673x-1.001673x1.00x1.000000x1.000000x3.053%3.05%3.047%3.05%15-1.452626x-1.452626x1.45x1.000000x1.000000x4.291%4.29%2.954%2.95%16-2.652456x-2.652456x2.65x1.000000x1.000000x1.501%1.50%0.566%0.57%17-3.959649x-3.959649x3.96x1.000000x1.000000x1.801%1.80%0.455%0.45%18-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.198%3.20%0.000%0%19-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.283%6.28%0.000%0%20-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.206%4.21%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 Makanda Township to the 50 most populous county subdivisions in Illinois and to those entities that contain or substantially overlap with the Makanda Township. The least populous of the compared county subdivisions has a population of 54,812.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Makanda Township, selected other county subdivisions in Illinois, and entities that contain the Makanda 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 TownshipMaineEast North CentralWorth TownshipWorthBremen TownshipBremenMidwestNiles TownshipNilesCarbondale and Marion Metro AreaCarbondaleCapital TownshipCapitalPalos TownshipPalosWayne TownshipWayneWheeling TownshipWheelingPalatine TownshipPalatineJackson CountyJacksonSchaumburg 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 TrierMakanda TownshipMakanda40.114442%40.114442%40.1%18,78818.8k133.464284%33.464284%33.5%29,81429.8k231.446858%31.446858%31.4%16,85316.9k322.775172%22.775172%22.8%12,38412.4k421.373918%21.373918%21.4%7,682519.506942%19.506942%19.5%12,77112.8k618.075020%18.075020%18.1%7,416717.697067%17.697067%17.7%7,036816.909837%16.909837%16.9%10,25710.3k916.905373%16.905373%16.9%309,770310k1016.634243%16.634243%16.6%10,68810.7k1116.021941%16.021941%16.0%10,63210.6k1215.636222%15.636222%15.6%16,11016.1k1315.608074%15.608074%15.6%18,24118.2k1413.167693%13.167693%13.2%7,7801513.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k1612.907551%12.907551%12.9%5,1981712.171847%12.171847%12.2%9,3751812.155791%12.155791%12.2%8,0961911.879050%11.879050%11.9%6,7102011.873376%11.873376%11.9%8,9082111.703119%11.703119%11.7%1,008,6081.01M11.515152%11.515152%11.5%7,5432211.132206%11.132206%11.1%10,96511.0k2310.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k2410.610291%10.610291%10.6%7,8672510.244520%10.244520%10.2%4,641,8354.64M9.916103%9.916103%9.9%7,659268.907345%8.907345%8.9%7,3368.623103%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%6,695317.744271%7.744271%7.7%2,7177.739434%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%521501.202336%1.202336%1.2%35
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Makanda Township, selected other county subdivisions in Illinois, and entities that contain the Makanda Township
0%20%40%60%80%Count#New Trier TownshipNew TrierVernon TownshipVernonEvanston TownshipEvanstonNorthfield TownshipNorthfieldWheatland TownshipWheatlandNaperville TownshipNapervilleMilton TownshipMiltonLisle TownshipLisleMakanda TownshipMakandaDowners 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 PageJackson CountyJacksonElk Grove TownshipElk GrvPlainfield TownshipPlainfieldIllinoisBloomingdale TownshipBloomingdaleHanover TownshipHanoverUnited States of AmericaUnited StatesPalos TownshipPalosPeoria City TownshipPeoria CityAvon TownshipMidwestDundee TownshipDundeeEast North CentralCarbondale and Marion Metro AreaCarbondaleProviso TownshipProvisoWorth TownshipWorthElgin TownshipElginAddison TownshipAddisonBremen TownshipBremenLockport TownshipLockportBloom TownshipBloomRockford TownshipRockfordBerwyn TownshipBerwynLeyden TownshipLeydenThornton TownshipThorntonAurora TownshipAuroraJoliet TownshipJolietWaukegan TownshipWaukeganCicero TownshipCicero82.981240%82.981240%83.0%30,16730.2k167.578844%67.578844%67.6%31,58531.6k265.899735%65.899735%65.9%31,53531.5k364.724140%64.724140%64.7%40,03940.0k464.115381%64.115381%64.1%32,45232.5k558.586546%58.586546%58.6%38,75538.8k657.681507%57.681507%57.7%45,19045.2k756.900171%56.900171%56.9%46,35646.4k855.479217%55.479217%55.5%1,61553.762123%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%20,41420.4k2735.905256%35.905256%35.9%12,59712.6k35.212579%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%8,931,6868.93M27.966585%27.966585%28.0%23,03323.0k26.237989%26.237989%26.2%27,03327.0k3625.217641%25.217641%25.2%26,38926.4k3724.981289%24.981289%25.0%16,35516.4k3824.653379%24.653379%24.7%14,95415.0k3922.955021%22.955021%23.0%17,02017.0k4022.241812%22.241812%22.2%8,9574122.102430%22.102430%22.1%13,05913.1k4221.592552%21.592552%21.6%25,23525.2k4321.245931%21.245931%21.2%7,6364420.075327%20.075327%20.1%12,89912.9k4518.971090%18.971090%19.0%21,01221.0k4615.929601%15.929601%15.9%14,19214.2k4714.331954%14.331954%14.3%7,7934812.345126%12.345126%12.3%6,616497.338372%7.338372%7.3%3,43750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Makanda Township, selected other county subdivisions in Illinois, and entities that contain the Makanda Township
0%5%10%15%Count#New Trier TownshipNew TrierEvanston TownshipEvanstonMakanda TownshipMakandaNorthfield TownshipNorthfieldChampaign City TownshipChampaign CityVernon TownshipVernonDowners Grove TownshipDowners GrvYork TownshipWheatland TownshipWheatlandJackson CountyJacksonLisle TownshipLisleMilton TownshipMiltonNiles TownshipNilesLyons TownshipLyonsNaperville TownshipNapervilleChicagoBloomington City TownshipBloomington CityCapital TownshipCapitalWarren TownshipWarrenMaine TownshipMaineRich TownshipCarbondale and Marion Metro AreaCarbondaleFrankfort TownshipFrankfortOrland TownshipOrlandPalatine TownshipPalatineWheeling TownshipWheelingIllinoisUnited States of AmericaUnited StatesPeoria City TownshipPeoria CityPalos TownshipPalosMidwestDu Page TownshipDu PageEast North CentralSchaumburg TownshipSchaumburgElk Grove TownshipElk GrvWayne TownshipWayneAlgonquin TownshipAlgonquinAvon TownshipProviso TownshipProvisoBloomingdale TownshipBloomingdaleRockford TownshipRockfordWorth TownshipWorthHanover TownshipHanoverBremen TownshipBremenBloom TownshipBloomBerwyn TownshipBerwynPlainfield TownshipPlainfieldDundee TownshipDundeeAddison TownshipAddisonElgin TownshipElginLeyden TownshipLeydenLockport TownshipLockportAurora TownshipAuroraThornton TownshipThorntonJoliet TownshipJolietWaukegan TownshipWaukeganCicero TownshipCicero19.288111%19.288111%19.3%7,012113.179947%13.179947%13.2%6,307211.920302%11.920302%11.9%34710.526826%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%3,13686.051191%6.051191%6.1%2,1235.933545%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%2,134193.822290%3.822290%3.8%3,1483.702843%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%2,281322.113682%2.113682%2.1%1,628332.067272%2.067272%2.1%2,416341.958049%1.958049%2.0%2,049351.949999%1.949999%1.9%1,294361.700722%1.700722%1.7%1,261371.656963%1.656963%1.7%979381.588715%1.588715%1.6%571391.564534%1.564534%1.6%757401.545248%1.545248%1.5%634411.506834%1.506834%1.5%914421.412882%1.412882%1.4%925431.408495%1.408495%1.4%905441.122396%1.122396%1.1%452450.936111%0.936111%0.9%834460.876686%0.876686%0.9%971470.823908%0.823908%0.8%448480.630691%0.630691%0.6%338490.217781%0.217781%0.2%10250
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#23

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Makanda Township, selected other county subdivisions in Illinois, and entities that contain the Makanda Township
Female
Male
2x1x0x1xFM#PlainfieldLockportNapervilleBremenBloomAvon TownshipRich TownshipDu PageThorntonJolietProvisoRockfordBerwynPalosElginElk GrvMidwestEast North CentralWarrenPeoria CityIllinoisUnited StatesCarbondaleWorthAuroraWheelingHanoverSchaumburgBloomington CityLeydenAddisonChicagoCiceroPalatineCapitalLyonsYork TownshipBloomingdaleFrankfortDundeeWaukeganAlgonquinNilesJacksonLisleWayneChampaign CityDowners GrvEvanstonMiltonMaineNew TrierOrlandNorthfieldVernonWheatlandMakanda-1.000000x-1.000000x1.601881x1.601881x1.60x5.490%5.49%8.794%8.79%1-1.000000x-1.000000x1.541329x1.541329x1.54x10.148%10.1%15.642%15.6%2-1.000000x-1.000000x1.372139x1.372139x1.37x3.520%3.52%4.830%4.83%3-1.000000x-1.000000x1.316841x1.316841x1.32x9.241%9.24%12.169%12.2%4-1.000000x-1.000000x1.294039x1.294039x1.29x11.596%11.6%15.006%15.0%5-1.000000x-1.000000x1.262010x1.262010x1.26x15.673%15.7%19.780%19.8%6-1.000000x-1.000000x1.248955x1.248955x1.25x5.461%5.46%6.821%6.82%7-1.000000x-1.000000x1.204737x1.204737x1.20x10.806%10.8%13.018%13.0%8-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%9-1.000000x-1.000000x1.181052x1.181052x1.18x20.931%20.9%24.720%24.7%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.164237x1.164237x1.16x19.784%19.8%23.034%23.0%13-1.000000x-1.000000x1.145379x1.145379x1.15x7.947%7.95%9.103%9.10%14-1.000000x-1.000000x1.143910x1.143910x1.14x18.203%18.2%20.822%20.8%15-1.000000x-1.000000x1.131549x1.131549x1.13x10.819%10.8%12.243%12.2%16-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123118x1.123118x1.12x6.617%6.62%7.432%7.43%17-1.000000x-1.000000x1.116331x1.116331x1.12x11.528%11.5%12.869%12.9%18-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101816x1.101816x1.10x8.481%8.48%9.345%9.34%-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%38-1.066065x-1.066065x1.07x1.000000x1.000000x7.990%7.99%7.495%7.49%-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%50-2.338661x-2.338661x2.34x1.000000x1.000000x1.708%1.71%0.730%0.73%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#24

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Makanda Township, selected other county subdivisions in Illinois, and entities that contain the Makanda Township
Female
Male
1x0x1x2xFM#OrlandNorthfieldRockfordBloomington CityElginPeoria CityCapitalNew TrierDowners GrvVernonNilesLisleYork TownshipFrankfortMaineAvon TownshipBloomWheelingLyonsMiltonLeydenPalosEast North CentralEvanstonMidwestBloomingdaleWheatlandChampaign CityAuroraNapervilleUnited StatesMakandaIllinoisPalatineCarbondaleSchaumburgPlainfieldWayneAddisonWarrenJacksonDundeeBremenChicagoJolietHanoverWaukeganLockportWorthElk GrvDu PageProvisoRich TownshipAlgonquinBerwynCiceroThornton-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-1.000000x1.519553x1.519553x1.52x9.395%9.40%14.276%14.3%-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-1.000000x1.456028x1.456028x1.46x3.120%3.12%4.543%4.54%-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-1.000000x1.341920x1.341920x1.34x5.174%5.17%6.943%6.94%-1.000000x-1.000000x1.303912x1.303912x1.30x1.342%1.34%1.750%1.75%35-1.000000x-1.000000x1.261737x1.261737x1.26x1.515%1.52%1.912%1.91%36-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%37-1.000000x-1.000000x1.227910x1.227910x1.23x0.742%0.74%0.911%0.91%38-1.000000x-1.000000x1.201846x1.201846x1.20x1.772%1.77%2.129%2.13%39-1.000000x-1.000000x1.151981x1.151981x1.15x0.586%0.59%0.675%0.68%40-1.000000x-1.000000x1.141842x1.141842x1.14x1.048%1.05%1.196%1.20%41-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%42-1.000000x-1.000000x1.076314x1.076314x1.08x2.458%2.46%2.645%2.65%43-1.000000x-1.000000x1.056291x1.056291x1.06x2.785%2.78%2.942%2.94%44-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%45-1.000000x-1.000000x1.035849x1.035849x1.04x3.943%3.94%4.085%4.08%46-1.000000x-1.000000x1.032695x1.032695x1.03x2.312%2.31%2.388%2.39%47-1.023718x-1.023718x1.02x1.000000x1.000000x1.607%1.61%1.570%1.57%48-1.655047x-1.655047x1.66x1.000000x1.000000x0.272%0.27%0.165%0.16%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Makanda Township, selected other county subdivisions in the Midwest, and entities that contain the Makanda 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 TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsCarbondale and Marion Metro AreaCarbondaleCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineJackson CountyJacksonSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn ArborMakanda TownshipMakanda33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.703119%11.703119%11.7%1,008,6081.01M11.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123348.907345%8.907345%8.9%7,3368.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.744271%7.744271%7.7%2,7177.739434%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%2,057501.202336%1.202336%1.2%35
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Makanda Township, selected other county subdivisions in the Midwest, and entities that contain the Makanda Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonMakanda TownshipMakandaDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalJackson CountyJacksonColumbusOmahaCincinnatiSt. LouisGrand RapidsIllinoisBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsMidwestWichitaEast North CentralCarbondale and Marion Metro AreaCarbondaleSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k555.479217%55.479217%55.5%1,61553.762123%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%28,78028.8k2135.905256%35.905256%35.9%12,59712.6k34.685843%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%8,931,6868.93M27.966585%27.966585%28.0%23,03323.0k27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Makanda Township, selected other county subdivisions in the Midwest, and entities that contain the Makanda Township
0%5%10%15%Count#Ann ArborMakanda TownshipMakandaMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipJackson CountyJacksonOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineCarbondale and Marion Metro AreaCarbondalePalatine TownshipPalatineWheeling TownshipWheelingIllinoisColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k111.920302%11.920302%11.9%3479.171173%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%5,35166.051191%6.051191%6.1%2,1235.940071%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%3,970193.822290%3.822290%3.8%3,1483.487439%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%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#28

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Makanda Township, selected other county subdivisions in the Midwest, and entities that contain the Makanda Township
Female
Male
2x1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWayneMidwestTopekaEast North CentralMilwaukeeKaw TownshipDaytonIllinoisSioux FallsUnited StatesOlatheCarbondaleWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulJacksonLisleMinneapolisSterling HtsDowners GrvMiltonMaineMakanda-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.101816x1.101816x1.10x8.481%8.48%9.345%9.34%-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%44-1.066065x-1.066065x1.07x1.000000x1.000000x7.990%7.99%7.495%7.49%-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%50-2.338661x-2.338661x2.34x1.000000x1.000000x1.708%1.71%0.730%0.73%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#29

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Makanda Township, selected other county subdivisions in the Midwest, and entities that contain the Makanda Township
Female
Male
1x0x1x2xFM#RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleKansas CityAuroraUnited StatesAnn ArborMakandaIllinoisTopekaSterling HtsPalatineCarbondaleSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsJacksonClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-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-1.000000x1.519553x1.519553x1.52x9.395%9.40%14.276%14.3%-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-1.000000x1.456028x1.456028x1.46x3.120%3.12%4.543%4.54%-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-1.000000x1.341920x1.341920x1.34x5.174%5.17%6.943%6.94%-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Makanda Township, selected other county subdivisions in the United States, and entities that contain the Makanda 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, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaCarbondale and Marion Metro AreaCarbondaleSeattleNortheast TarrantNE TarrantJackson CountyJacksonPlanoSeattle EastMakanda TownshipMakanda28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.703119%11.703119%11.7%1,008,6081.01M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k468.907345%8.907345%8.9%7,3368.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k487.744271%7.744271%7.7%2,7175.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k501.202336%1.202336%1.2%35
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Makanda Township, selected other county subdivisions in the United States, and entities that contain the Makanda Township
0%20%40%60%Count#ManhattanSeattle EastMakanda TownshipMakandaWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoJackson CountyJacksonColumbusLos 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…SacramentoCarbondale and Marion Metro AreaCarbondaleEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.479217%55.479217%55.5%1,61555.360186%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%669,666670k1735.905256%35.905256%35.9%12,59712.6k34.685843%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%209,283209k3627.966585%27.966585%28.0%23,03323.0k27.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Makanda Township, selected other county subdivisions in the United States, and entities that contain the Makanda Township
0%5%10%Count#WashingtonMakanda TownshipMakandaManhattanSan FranciscoBostonAtlantaSeattleSan JoseJackson CountyJacksonSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasCarbondale and Marion Metro AreaCarbondaleSalt 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 VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k111.920302%11.920302%11.9%34710.788423%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%75,13475.1k76.051191%6.051191%6.1%2,1236.036065%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%38,21138.2k213.822290%3.822290%3.8%3,1483.792624%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%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#33

Percentage more likely men are than women to not have a high school diploma (or equivalent) among people aged 25 years and older.
Scope: population of the Makanda Township, selected other county subdivisions in the United States, and entities that contain the Makanda Township
Female
Male
2x1x0x1xFM#1, CharlotteDetroitBaltimoreTulsaSW DallasMidwestFresnoEast North CentralMilwaukeeIllinoisUnited StatesCarbondaleNE 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 EastJacksonSan JoseSan DiegoSan FranciscoEl PasoMakanda-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.125371x1.125371x1.13x10.108%10.1%11.375%11.4%-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101816x1.101816x1.10x8.481%8.48%9.345%9.34%-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%46-1.066065x-1.066065x1.07x1.000000x1.000000x7.990%7.99%7.495%7.49%-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%50-2.338661x-2.338661x2.34x1.000000x1.000000x1.708%1.71%0.730%0.73%
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#34

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Makanda Township, selected other county subdivisions in the United States, and entities that contain the Makanda Township
Female
Male
1x0x1x2xFM#El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesMakandaSan JoseIllinoisHempsteadFresnoNE TarrantTampaSan Fernando VlyCarbondaleE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaJacksonOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-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-1.000000x1.519553x1.519553x1.52x9.395%9.40%14.276%14.3%-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-1.000000x1.456028x1.456028x1.46x3.120%3.12%4.543%4.54%-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-1.000000x1.341920x1.341920x1.34x5.174%5.17%6.943%6.94%-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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Demographics

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More Maps to Explore

State:
Illinois
County:
Jackson
Metro Area:
Carbondale Area
City:
Carbondale
Village:
Makanda
ZIP Codes:
62902, 62903, 62958
Unified School District:
Cobden 17
Elementary School Districts:
Giant City 130, Unity Point 140
Secondary School District:
Carbondale 165
Congressional District:
IL-12
State Senate Districts:
IL-58, IL-59
State House Districts:
IL-115, IL-118
Neighboring Precincts:
Carterville, Cobden District 1, Cobden District 2, Grassy, Lick Creek
Neighboring Townships:
Carbondale, Murphysboro, Pomona
Nearby Precincts:
Alto Pass, Anna District 1, Anna District 4, Anna District 5, Anna District 6, Anna District 7, Goreville No. 1, Jonesboro District 3, Southern
Nearby Townships:
De Soto