Educational Attainment in Montgomery County, Illinois (County)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Illinois and Montgomery County
Montgomery County
Illinois
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma223.164273%40.688958%23.164273%23.2%4,85562.865595%47.607923%62.865595%62.9%13,17613.2k13.970132%11.703119%13.970132%14.0%2,928
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 Illinois at large.
Scope: population of Illinois and Montgomery County
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-43.069879%-43.069879%-43.1%23.164%23.2%40.689%40.7%32.048598%32.048598%+32.0%62.866%62.9%47.608%47.6%19.371021%19.371021%+19.4%13.970%14.0%11.703%11.7%
% percentage with given level in Montgomery County
ref. percentage with given level in Illinois
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 Illinois and Montgomery County
Montgomery County
Illinois
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.691827%1.238042%0.691827%0.7%1450.415096%2.128463%0.415096%0.4%874.212987%9.288090%4.212987%4.2%8838.550026%20.239064%8.550026%8.6%1,7929.294337%7.795299%9.294337%9.3%1,94822.467675%21.069856%22.467675%22.5%4,70940.397920%26.538067%40.397920%40.4%8,4679.337278%6.426465%9.337278%9.3%1,9573.931485%4.082135%3.931485%3.9%8240.701369%1.194519%0.701369%0.7%147
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 Illinois at large.
Scope: population of Illinois and Montgomery County
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-44.119283%-44.119283%-44.1%0.692%0.69%1.238%1.24%-80.497847%-80.497847%-80.5%0.415%0.42%2.128%2.13%-54.640974%-54.640974%-54.6%4.213%4.21%9.288%9.29%-57.754833%-57.754833%-57.8%8.550%8.55%20.239%20.2%19.230021%19.230021%+19.2%9.294%9.29%7.795%7.80%6.634214%6.634214%+6.6%22.468%22.5%21.070%21.1%52.226307%52.226307%+52.2%40.398%40.4%26.538%26.5%45.294149%45.294149%+45.3%9.337%9.34%6.426%6.43%-3.690467%-3.690467%-3.7%3.931%3.93%4.082%4.08%-41.284349%-41.284349%-41.3%0.701%0.70%1.195%1.19%
% percentage with given level in Montgomery County
ref. percentage with given level in Illinois
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 Illinois and Montgomery County
More Females More Males
Illinois
Montgomery County
0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-43.758653%-5.360756%-43.758653%44%27.488%27.5%19.121%19.1%1.625167%1.821620%1.625167%2%62.342%62.3%63.355%63.4%72.311443%11.379562%72.311443%72%10.170%10.2%17.524%17.5%
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 Illinois and Montgomery County
More Females More Males
Illinois
Montgomery County
100%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None44.365345%46.757927%44.365345%44%0.563%0.56%0.812%0.81%32.471609%51.574975%32.471609%32%0.355%0.36%0.471%0.47%-135.193044%-20.561358%-135.193044%135%5.993%5.99%2.548%2.55%-62.592668%-1.621153%-62.592668%63%10.673%10.7%6.564%6.56%-13.504737%-20.160866%-13.504737%14%9.903%9.90%8.725%8.72%-1.467526%4.929398%4.929398%5%21.910%21.9%22.990%23.0%-0.165604%-0.165604%0%4.490891%40.432%40.4%40.366%40.4%82.089785%15.957707%82.089785%82%6.556%6.56%11.938%11.9%90.814326%5.538880%90.814326%91%2.676%2.68%5.106%5.11%-95.373261%-95.373261%95%7.819234%0.938%0.94%0.480%0.48%
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 Illinois and Montgomery County
Montgomery County
Illinois
0%5%10%15%20%25%B.X.Total65+45-6435-4425-346.678933%12.965887%6.678933%6.7%3635,4358.139816%19.105869%8.139816%8.1%6738,26811.534091%22.670157%11.534091%11.5%4063,5209.368308%27.396549%9.368308%9.4%3503,736
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 Illinois at large.
Scope: population of Illinois and Montgomery County
60%50%40%30%20%10%0%%ref.65+45-6435-4425-34-48.488423%-48.488423%48.5%6.679%6.68%12.966%13.0%-57.396254%-57.396254%57.4%8.140%8.14%19.106%19.1%-49.122140%-49.122140%49.1%11.534%11.5%22.670%22.7%-65.804786%-65.804786%65.8%9.368%9.37%27.397%27.4%
% percentage in Montgomery County with a Bachelor's degree
ref percentage in Illinois 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 Illinois and Montgomery County
More Females More Males
Illinois
Montgomery County
150%100%50%0%50%FM65+45-6435-4425-3455.422297%29.499401%55.422297%55.4%5.380%5.38%8.361%8.36%-88.304107%-4.991755%-88.304107%88.3%10.756%10.8%5.712%5.71%-178.239845%-9.232053%-178.239845%178.2%18.218%18.2%6.548%6.55%-115.188623%-13.555054%-115.188623%115.2%13.561%13.6%6.302%6.30%
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 Illinois and Montgomery County
Montgomery County
Illinois
$0k$20k$40k$60kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$47,426.000000$70,220.000000$47,426.000000$47.4k1,1155.320%5.32%$44,653.000000$52,862.000000$44,653.000000$44.7k1,7928.550%8.55%$30,665.000000$35,496.000000$30,665.000000$30.7k6,65731.762%31.8%$25,559.000000$29,619.000000$25,559.000000$25.6k8,46740.398%40.4%$16,857.000000$21,827.000000$16,857.000000$16.9k2,92813.970%14.0%$29,296.000000$39,672.000000$29,296.000000$29.3k20,95921.0k100.000%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 Illinois and Montgomery County
Female Male
Illinois
Montgomery County
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-46,930.000000$-59,501.000000$-46,930.000000$46.9k$46,930.000000$2,555.000000$59,501.000000$28,082.000000$49,485.000000$49.5k700415$-41,194.000000$-43,652.000000$-41,194.000000$41.2k$41,194.000000$20,577.000000$43,652.000000$22,176.000000$61,771.000000$61.8k1,081711$-27,896.000000$-28,859.000000$-27,896.000000$27.9k$27,896.000000$6,885.000000$28,859.000000$15,039.000000$34,781.000000$34.8k3,2223,435$-20,696.000000$-22,757.000000$-20,696.000000$20.7k$20,696.000000$10,957.000000$22,757.000000$12,942.000000$31,653.000000$31.7k4,0954,372$-16,786.000000$-17,085.000000$-16,786.000000$16.8k$16,786.000000$120.000000$17,085.000000$8,768.000000$16,906.000000$16.9k1,0301,898$-26,492.000000$-32,007.000000$-26,492.000000$26.5k$26,492.000000$5,957.000000$32,007.000000$14,700.000000$32,449.000000$32.4k10,12810.1k10,83110.8k
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 Illinois and Montgomery County
Montgomery County
Illinois
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma380.686499%83.912975%80.686499%80.7%1,76354.438831%75.091230%54.438831%54.4%3,01750.964574%67.304135%50.964574%51.0%2,90619.379475%54.294691%19.379475%19.4%406
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 Illinois and Montgomery County
Female Male
Illinois
Montgomery County
Shaded bar tips show excess over facing bar.
40%20%0%20%MFWhite1BlackAsianHispanic2Other1-9.968371%-6.327657%-9.968371%10.0%9.968371%3.588987%6.327657%0.379849%13.557358%13.6%1,170977-36.501080%-4.408011%-13.097801%-40.909091%40.9%36.501080%13.097801%3.593723%36.501080%36.5%67618-0.000000%-30.357143%-7.169332%-3.828972%-30.357143%30.4%0.000000%7.169332%0.000000%0.0%017-11.382114%-34.433592%-11.382114%11.4%11.382114%7.575232%34.433592%2.695441%18.957346%19.0%4014-3.478261%-33.326278%-3.478261%3.5%3.478261%16.900886%33.326278%3.143695%20.379147%20.4%434
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 Illinois and Montgomery County
Female Male
Illinois
Montgomery County
Shaded bar tips show excess over facing bar.
60%40%20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-12.433372%-5.401543%-36.408839%-17.834915%17.8%12.433372%36.408839%0.694466%12.433372%12.4%1,0731,748-0.000000%-17.123012%-5.975929%0.000000%0.0%0.000000%1.835853%17.123012%1.835853%1.8%340-39.285714%-61.139244%-39.285714%39.3%39.285714%17.236025%61.139244%5.034000%56.521739%56.5%1322-2.843602%-1.221439%-11.945838%-3.365490%-4.065041%4.1%2.843602%11.945838%2.843602%2.8%65-0.000000%-9.565217%-13.510193%-3.566229%-9.565217%9.6%0.000000%13.510193%0.000000%0.0%011
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County Subdivision in Montgomery County

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#15

Percentage of the population 25 years and older with given highest level of educational attainment
11%18%24%30%37%43%

Coarse: High School Diploma Educational Attainment by County Subdivision#16

Percentage of the population 25 years and older with given highest level of educational attainment
38%47%55%64%72%81%

Coarse: No High School Diploma Educational Attainment by County Subdivision#17

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.8%9.7%14.5%19.4%24.3%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.1%3.2%4.2%5.4%

Detailed: Professional Degree Educational Attainment by County Subdivision#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.26%0.51%0.77%1.02%1.28%

Detailed: Master's Degree Educational Attainment by County Subdivision#20

Percentage of the population 25 years and older with given highest level of educational attainment
0%5%10%16%21%26%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#21

Percentage of the population 25 years and older with given highest level of educational attainment
0.8%5.6%10.3%15.1%19.8%24.6%

Detailed: Associate's Degree Educational Attainment by County Subdivision#22

Percentage of the population 25 years and older with given highest level of educational attainment
2.2%5.9%9.5%13.1%16.7%20.3%

Detailed: Some College Educational Attainment by County Subdivision#23

Percentage of the population 25 years and older with given highest level of educational attainment
9.7%13.6%17.4%21.3%25.1%29.0%

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

Percentage of the population 25 years and older with given highest level of educational attainment
21%30%39%48%57%66%

Detailed: Some High School Educational Attainment by County Subdivision#25

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.6%7.1%10.7%14.2%17.9%

Detailed: Less than High School Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.4%2.7%4.1%5.5%6.9%

Detailed: None Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.5%1.0%1.5%2.0%2.5%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Map of Educational Attainment by Tract in Montgomery County

Coarse: Post-Secondary Degree Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
11%16%22%27%33%39%

Coarse: High School Diploma Educational Attainment by Tract#29

Percentage of the population 25 years and older with given highest level of educational attainment
56.4%58.7%60.9%63.1%65.3%67.6%

Coarse: No High School Diploma Educational Attainment by Tract#30

Percentage of the population 25 years and older with given highest level of educational attainment
3.8%8.3%12.8%17.2%21.7%26.1%

Detailed: Doctorate Degree Educational Attainment by Tract#31

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.1%1.7%2.2%2.9%

Detailed: Professional Degree Educational Attainment by Tract#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.35%0.71%1.06%1.41%1.77%

Detailed: Master's Degree Educational Attainment by Tract#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%2.5%4.3%6.1%7.9%9.8%

Detailed: Bachelor's Degree Educational Attainment by Tract#34

Percentage of the population 25 years and older with given highest level of educational attainment
3.3%5.9%8.3%10.8%13.3%15.8%

Detailed: Associate's Degree Educational Attainment by Tract#35

Percentage of the population 25 years and older with given highest level of educational attainment
5.6%7.1%8.7%10.2%11.8%13.4%

Detailed: Some College Educational Attainment by Tract#36

Percentage of the population 25 years and older with given highest level of educational attainment
16.0%18.2%20.4%22.5%24.6%26.8%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#37

Percentage of the population 25 years and older with given highest level of educational attainment
34.5%37.6%40.7%43.7%46.8%49.9%

Detailed: Some High School Educational Attainment by Tract#38

Percentage of the population 25 years and older with given highest level of educational attainment
1.6%4.7%7.6%10.6%13.6%16.7%

Detailed: Less than High School Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
1.8%2.8%3.7%4.7%5.6%6.6%

Detailed: None Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.7%1.4%2.1%2.8%3.5%
Road Data ©OpenStreetMap

Loading...

Failed to load :-(

Educational Attainment by Place in Montgomery County

There are 20 places that are fully or partially contained within Montgomery County (17 fully and 3 partially). This section compares all 20 of those to each other, Montgomery County, and other entities that contain or substantially overlap with Montgomery County.

No H.S. Diploma by Place#41

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Montgomery County, selected places in Montgomery County, and entities that contain Montgomery County
0%5%10%15%20%Count#DonnellsonHillsboroWalshvilleWaggonerIrvingLitchfieldCoaltonTaylor SpringsTaylor SpgsSchram CityMontgomery CountyMontgomeryCoffeenUnited States of AmericaUnited StatesFillmoreWittIllinoisNokomisEast North CentralMidwestPanamaRaymondHarvelOhlmanWenonahFarmersvilleButler21.917808%21.917808%21.9%32121.878335%21.878335%21.9%1,230221.428571%21.428571%21.4%6320.588235%20.588235%20.6%21420.000000%20.000000%20.0%58516.171044%16.171044%16.2%745614.492754%14.492754%14.5%30714.364641%14.364641%14.4%52814.231499%14.231499%14.2%75913.970132%13.970132%14.0%2,92813.098237%13.098237%13.1%521013.020590%13.020590%13.0%27,818,38027.8M12.244898%12.244898%12.2%301111.774461%11.774461%11.8%711211.703119%11.703119%11.7%1,008,6081.01M11.572498%11.572498%11.6%1701310.719464%10.719464%10.7%3,363,7843.36M10.244520%10.244520%10.2%4,641,8354.64M9.139785%9.139785%9.1%17148.750000%8.750000%8.8%56158.333333%8.333333%8.3%12168.333333%8.333333%8.3%7176.896552%6.896552%6.9%2185.077263%5.077263%5.1%23192.173913%2.173913%2.2%220
Count number of people in category
# rank of place out of 20 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#42

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Montgomery County, selected places in Montgomery County, and entities that contain Montgomery County
0%10%20%30%Count#IllinoisUnited States of AmericaUnited StatesMidwestEast North CentralLitchfieldOhlmanNokomisMontgomery CountyMontgomeryFarmersvilleRaymondWittCoaltonHarvelHillsboroButlerDonnellsonSchram CityFillmoreWaggonerTaylor SpringsTaylor SpgsIrvingCoffeenWenonahPanamaWalshville32.893660%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%8,931,6868.93M16.865639%16.865639%16.9%777115.476190%15.476190%15.5%13215.316542%15.316542%15.3%225313.869937%13.869937%13.9%2,90712.582781%12.582781%12.6%57411.718750%11.718750%11.7%75511.608624%11.608624%11.6%70611.111111%11.111111%11.1%23710.416667%10.416667%10.4%15810.067592%10.067592%10.1%56699.782609%9.782609%9.8%9107.534247%7.534247%7.5%11117.210626%7.210626%7.2%38126.938776%6.938776%6.9%17136.862745%6.862745%6.9%7146.629834%6.629834%6.6%24156.206897%6.206897%6.2%18164.030227%4.030227%4.0%16173.448276%3.448276%3.4%1182.688172%2.688172%2.7%5190.000000%0.000000%0.0%020
Count number of people in category
# rank of place out of 20 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#43

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Montgomery County, selected places in Montgomery County, and entities that contain Montgomery County
0%1%2%3%4%Count#OhlmanIllinoisUnited States of AmericaUnited StatesMidwestEast North CentralButlerLitchfieldWittMontgomery CountyMontgomeryNokomisHillsboroHarvelRaymondFarmersvilleIrvingSchram CityCoffeenTaylor SpringsTaylor SpgsFillmorePanamaCoaltonWaggonerDonnellsonWenonahWalshville4.761905%4.761905%4.8%413.366505%3.366505%3.4%290,135290k3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.173913%2.173913%2.2%221.931843%1.931843%1.9%8931.160862%1.160862%1.2%741.106923%1.106923%1.1%2320.953029%0.953029%1.0%1450.764852%0.764852%0.8%4360.694444%0.694444%0.7%170.468750%0.468750%0.5%380.441501%0.441501%0.4%290.344828%0.344828%0.3%1100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%020
Count number of people in category
# rank of place out of 20 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 Place#44

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 Montgomery County, selected places in Montgomery County, and entities that contain Montgomery County
Female
Male
2x0x2xFM#HillsboroTaylor SpgsFillmoreWenonahMontgomeryWaggonerRaymondWalshvilleFarmersvilleButlerPanamaSchram CityLitchfieldMidwestEast North CentralIllinoisUnited StatesIrvingCoaltonDonnellsonWittNokomisOhlmanCoffeenHarvel-1.000000x-1.000000x3.804465x3.804465x3.80x6.760%6.76%25.719%25.7%1-1.000000x-1.000000x2.478873x2.478873x2.48x9.091%9.09%22.535%22.5%2-1.000000x-1.000000x2.303030x2.303030x2.30x7.857%7.86%18.095%18.1%3-1.000000x-1.000000x1.900000x1.900000x1.90x5.263%5.26%10.000%10.0%4-1.000000x-1.000000x1.723114x1.723114x1.72x10.170%10.2%17.524%17.5%-1.000000x-1.000000x1.666667x1.666667x1.67x16.667%16.7%27.778%27.8%5-1.000000x-1.000000x1.529742x1.529742x1.53x7.181%7.18%10.985%11.0%6-1.000000x-1.000000x1.500000x1.500000x1.50x16.667%16.7%25.000%25.0%7-1.000000x-1.000000x1.442708x1.442708x1.44x4.332%4.33%6.250%6.25%8-1.000000x-1.000000x1.421053x1.421053x1.42x1.852%1.85%2.632%2.63%9-1.000000x-1.000000x1.336765x1.336765x1.34x7.921%7.92%10.588%10.6%10-1.000000x-1.000000x1.300118x1.300118x1.30x12.698%12.7%16.509%16.5%11-1.000000x-1.000000x1.147534x1.147534x1.15x15.300%15.3%17.558%17.6%12-1.000000x-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-1.000000x1.042522x1.042522x1.04x19.620%19.6%20.455%20.5%13-1.004032x-1.004032x1.00x1.000000x1.000000x14.516%14.5%14.458%14.5%14-1.007326x-1.007326x1.01x1.000000x1.000000x21.978%22.0%21.818%21.8%15-1.158621x-1.158621x1.16x1.000000x1.000000x12.537%12.5%10.821%10.8%16-1.226857x-1.226857x1.23x1.000000x1.000000x12.406%12.4%10.112%10.1%17-1.398374x-1.398374x1.40x1.000000x1.000000x9.756%9.76%6.977%6.98%18-1.531055x-1.531055x1.53x1.000000x1.000000x15.640%15.6%10.215%10.2%19-2.760000x-2.760000x2.76x1.000000x1.000000x12.000%12.0%4.348%4.35%20
F percentage of females in category
M percentage of males in category
# rank of place out of 20 by male-to-female sex ratio

Over-Education Sex Ratio by Place#45

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 Montgomery County, selected places in Montgomery County, and entities that contain Montgomery County
Female
Male
10x5x0x5x10xFM#HillsboroWittRaymondFarmersvilleIrvingHarvelNokomisLitchfieldEast North CentralMidwestUnited StatesIllinoisMontgomeryButlerOhlman-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.959%0.96%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.612%2.61%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.136%1.14%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.136%1.14%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.758%0.76%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.449%1.45%6-1.000000x-1.000000x3.151685x3.151685x3.15x0.535%0.53%1.685%1.69%7-1.000000x-1.000000x2.457111x2.457111x2.46x1.237%1.24%3.039%3.04%8-1.000000x-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-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.397613x1.397613x1.40x0.918%0.92%1.283%1.28%-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.704%3.70%0.000%0%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x9.756%9.76%0.000%0%10
F percentage of females in category
M percentage of males in category
# rank of place out of 10 by male-to-female sex ratio

Educational Attainment by County Subdivision in Montgomery County

There are 19 county subdivisions in Montgomery County. This section compares all 19 of those to each other, Montgomery County, and other entities that contain or substantially overlap with Montgomery County.

No H.S. Diploma by County Subdivision#46

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Montgomery County, selected county subdivisions in Montgomery County, and entities that contain Montgomery County
0%5%10%15%20%Count#South Litchfield TownshipS LitchfieldHillsboro TownshipHillsboroPitman TownshipPitmanEast Fork TownshipE ForkMontgomery CountyMontgomeryUnited States of AmericaUnited StatesFillmore TownshipFillmoreIllinoisEast North CentralWitt TownshipNokomis TownshipNokomisMidwestIrving TownshipIrvingNorth Litchfield TownshipN LitchfieldGrisham TownshipGrishamHarvel TownshipHarvelWalshville TownshipWalshvilleRountree TownshipRountreeRaymond TownshipRaymondAudubon TownshipAudubonBois D'Arc TownshipBois D'ArcZanesville TownshipZanesvilleButler Grove TownshipButler GrvSouth Fillmore TownshipS Fillmore24.210015%24.210015%24.2%498120.273868%20.273868%20.3%1,066218.939394%18.939394%18.9%50318.460230%18.460230%18.5%434413.970132%13.970132%14.0%2,92813.020590%13.020590%13.0%27,818,38027.8M11.711712%11.711712%11.7%52511.703119%11.703119%11.7%1,008,6081.01M10.719464%10.719464%10.7%3,363,7843.36M10.695187%10.695187%10.7%80610.498960%10.498960%10.5%202710.244520%10.244520%10.2%4,641,8354.64M9.943182%9.943182%9.9%7088.328497%8.328497%8.3%28797.964602%7.964602%8.0%36107.500000%7.500000%7.5%9117.303371%7.303371%7.3%13127.299270%7.299270%7.3%10137.238606%7.238606%7.2%54147.161125%7.161125%7.2%28156.140351%6.140351%6.1%35160.561798%0.561798%0.6%2170.289436%0.289436%0.3%2180.000000%0.000000%0.0%019
Count number of people in category
# rank of county subdivision out of 19 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#47

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Montgomery County, selected county subdivisions in Montgomery County, and entities that contain Montgomery County
0%10%20%30%Count#Walshville TownshipWalshvilleIllinoisSouth Fillmore TownshipS FillmoreUnited States of AmericaUnited StatesMidwestEast North CentralPitman TownshipPitmanNorth Litchfield TownshipN LitchfieldButler Grove TownshipButler GrvIrving TownshipIrvingZanesville TownshipZanesvilleNokomis TownshipNokomisMontgomery CountyMontgomeryRountree TownshipRountreeBois D'Arc TownshipBois D'ArcRaymond TownshipRaymondGrisham TownshipGrishamWitt TownshipEast Fork TownshipE ForkHillsboro TownshipHillsboroAudubon TownshipAudubonSouth Litchfield TownshipS LitchfieldFillmore TownshipFillmoreHarvel TownshipHarvel33.146067%33.146067%33.1%59132.893660%32.893660%32.9%2,834,8692.83M31.147541%31.147541%31.1%38230.315023%30.315023%30.3%64,767,78764.8M28.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M28.409091%28.409091%28.4%75327.307023%27.307023%27.3%941425.036179%25.036179%25.0%173521.306818%21.306818%21.3%150617.696629%17.696629%17.7%63714.760915%14.760915%14.8%284813.869937%13.869937%13.9%2,90713.138686%13.138686%13.1%18912.982456%12.982456%13.0%741011.662198%11.662198%11.7%871111.504425%11.504425%11.5%521210.695187%10.695187%10.7%80139.017439%9.017439%9.0%212148.729555%8.729555%8.7%459158.439898%8.439898%8.4%33164.278075%4.278075%4.3%88173.828829%3.828829%3.8%17183.333333%3.333333%3.3%419
Count number of people in category
# rank of county subdivision out of 19 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#48

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Montgomery County, selected county subdivisions in Montgomery County, and entities that contain Montgomery County
0%1%2%3%4%5%Count#Pitman TownshipPitmanNorth Litchfield TownshipN LitchfieldIllinoisUnited States of AmericaUnited StatesMidwestEast North CentralButler Grove TownshipButler GrvMontgomery CountyMontgomeryAudubon TownshipAudubonWitt TownshipNokomis TownshipNokomisEast Fork TownshipE ForkHillsboro TownshipHillsboroRaymond TownshipRaymondBois D'Arc TownshipBois D'ArcIrving TownshipIrvingSouth Litchfield TownshipS LitchfieldFillmore TownshipFillmoreGrisham TownshipGrishamZanesville TownshipZanesvilleWalshville TownshipWalshvilleRountree TownshipRountreeHarvel TownshipHarvelSouth Fillmore TownshipS Fillmore5.303030%5.303030%5.3%1413.975624%3.975624%4.0%13723.366505%3.366505%3.4%290,135290k3.336158%3.336158%3.3%7,127,6737.13M2.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k1.591896%1.591896%1.6%1131.106923%1.106923%1.1%2321.023018%1.023018%1.0%440.935829%0.935829%0.9%750.727651%0.727651%0.7%1460.723097%0.723097%0.7%1770.418410%0.418410%0.4%2280.402145%0.402145%0.4%390.350877%0.350877%0.4%2100.142045%0.142045%0.1%1110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%019
Count number of people in category
# rank of county subdivision out of 19 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#49

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 Montgomery County, selected county subdivisions in Montgomery County, and entities that contain Montgomery County
Female
Male
0x5x10xFM#ZanesvilleRountreeWalshvilleFillmoreHillsboroE ForkMontgomeryIrvingN LitchfieldRaymondButler GrvAudubonMidwestEast North CentralWitt TownshipIllinoisUnited StatesS LitchfieldNokomisBois D'ArcHarvelGrishamPitman-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.351%1.35%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%18.182%18.2%2-1.000000x-1.000000x5.500000x5.500000x5.50x2.247%2.25%12.360%12.4%3-1.000000x-1.000000x4.005947x4.005947x4.01x4.783%4.78%19.159%19.2%4-1.000000x-1.000000x3.153556x3.153556x3.15x7.806%7.81%24.615%24.6%5-1.000000x-1.000000x1.779013x1.779013x1.78x12.500%12.5%22.238%22.2%6-1.000000x-1.000000x1.723114x1.723114x1.72x10.170%10.2%17.524%17.5%-1.000000x-1.000000x1.562564x1.562564x1.56x7.949%7.95%12.420%12.4%7-1.000000x-1.000000x1.437855x1.437855x1.44x7.047%7.05%10.133%10.1%8-1.000000x-1.000000x1.429967x1.429967x1.43x6.150%6.15%8.795%8.79%9-1.000000x-1.000000x1.258170x1.258170x1.26x0.260%0.26%0.327%0.33%10-1.000000x-1.000000x1.196629x1.196629x1.20x6.573%6.57%7.865%7.87%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-1.000000x1.121471x1.121471x1.12x10.145%10.1%11.377%11.4%12-1.000000x-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-1.000000x1.032801x1.032801x1.03x23.920%23.9%24.704%24.7%13-1.212982x-1.212982x1.21x1.000000x1.000000x11.241%11.2%9.267%9.27%14-1.454545x-1.454545x1.45x1.000000x1.000000x7.018%7.02%4.825%4.82%15-1.870968x-1.870968x1.87x1.000000x1.000000x9.677%9.68%5.172%5.17%16-1.954733x-1.954733x1.95x1.000000x1.000000x10.288%10.3%5.263%5.26%17-2.812903x-2.812903x2.81x1.000000x1.000000x25.806%25.8%9.174%9.17%18
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 18 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#50

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 Montgomery County, selected county subdivisions in Montgomery County, and entities that contain Montgomery County
Female
Male
10x5x0x5x10xFM#E ForkWitt TownshipRaymondIrvingBois D'ArcButler GrvNokomisN LitchfieldEast North CentralMidwestUnited StatesIllinoisMontgomeryHillsboroAudubonPitman-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.181%1.18%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.096%2.10%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.977%0.98%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.318%0.32%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.877%0.88%5-1.000000x-1.000000x5.661765x5.661765x5.66x0.519%0.52%2.941%2.94%6-1.000000x-1.000000x2.990041x2.990041x2.99x0.416%0.42%1.245%1.24%7-1.000000x-1.000000x1.653966x1.653966x1.65x3.127%3.13%5.171%5.17%8-1.000000x-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-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.397613x1.397613x1.40x0.918%0.92%1.283%1.28%-1.000000x-1.000000x1.183897x1.183897x1.18x0.368%0.37%0.436%0.44%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.878%1.88%0.000%0%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x9.032%9.03%0.000%0%11
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 11 by male-to-female sex ratio

Educational Attainment by County in Illinois

There are 102 counties in Illinois. This section compares Montgomery County to the 50 most populous counties in Illinois and to those entities that contain or substantially overlap with Montgomery County. The least populous of the compared counties has a population of 29,301.

No H.S. Diploma by County#51

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Montgomery County, selected other counties in Illinois, and entities that contain Montgomery County
0%5%10%15%Count#Kane CountyKaneRandolph CountyRandolphCook CountyCookJefferson CountyJeffersonMontgomery CountyMontgomeryBoone CountyBooneUnited States of AmericaUnited StatesVermilion CountyVermilionKankakee CountyKankakeeLogan CountyLoganWinnebago CountyWinnebagoFulton CountyFultonFranklin CountyFranklinChristian CountyChristianKnox CountyKnoxOgle CountyOgleLivingston CountyLivingstonLee CountyLeeIllinoisLaSalle CountyLaSalleMarion CountyMarionRock Island CountyRock IslandWhiteside CountyWhitesideHenry CountyHenryEast North CentralClinton CountyClintonMacon CountyMaconMidwestLake CountyLakeMacoupin CountyMacoupinColes CountyColesWilliamson CountyWilliamsonPeoria CountyPeoriaSt. Clair CountySt. ClairStephenson CountyStephensonBureau CountyBureauMorgan CountyMorganWill CountyWillEffingham CountyEffinghamAdams CountyAdamsSangamon CountySangamonJackson CountyJacksonDuPage CountyDuPageMadison CountyMadisonMcHenry CountyMcHenryDeKalb CountyDeKalbMcDonough CountyMcDonoughTazewell CountyTazewellGrundy CountyGrundyKendall CountyKendallWoodford CountyWoodfordChampaign CountyChampaignMonroe CountyMonroeMcLean CountyMcLean16.875440%16.875440%16.9%56,86556.9k115.526085%15.526085%15.5%3,723214.189351%14.189351%14.2%503,252503k314.146614%14.146614%14.1%3,792413.970132%13.970132%14.0%2,928513.894342%13.894342%13.9%4,813613.020590%13.020590%13.0%27,818,38027.8M12.772459%12.772459%12.8%6,897712.657776%12.657776%12.7%9,226812.610936%12.610936%12.6%2,643912.584582%12.584582%12.6%24,53124.5k1012.413980%12.413980%12.4%3,2111112.287983%12.287983%12.3%3,4051212.029699%12.029699%12.0%2,8841312.002219%12.002219%12.0%4,3281411.743891%11.743891%11.7%4,2151511.729508%11.729508%11.7%3,0581611.724471%11.724471%11.7%2,9141711.703119%11.703119%11.7%1,008,6081.01M11.556782%11.556782%11.6%9,0011811.533826%11.533826%11.5%3,0621911.371707%11.371707%11.4%11,43311.4k2011.289754%11.289754%11.3%4,4872111.098840%11.098840%11.1%3,8192210.719464%10.719464%10.7%3,363,7843.36M10.580742%10.580742%10.6%2,8242310.384402%10.384402%10.4%7,6912410.244520%10.244520%10.2%4,641,8354.64M10.194843%10.194843%10.2%46,16546.2k2510.044336%10.044336%10.0%3,285269.785942%9.785942%9.8%3,191279.770492%9.770492%9.8%4,619289.742508%9.742508%9.7%12,10012.1k299.457389%9.457389%9.5%16,78816.8k309.279838%9.279838%9.3%3,023319.274363%9.274363%9.3%2,206329.181421%9.181421%9.2%2,204339.176975%9.176975%9.2%40,40240.4k348.866104%8.866104%8.9%2,058358.328998%8.328998%8.3%3,842367.766812%7.766812%7.8%10,57710.6k377.744271%7.744271%7.7%2,717387.562669%7.562669%7.6%47,59847.6k397.440742%7.440742%7.4%13,67413.7k407.387894%7.387894%7.4%15,06015.1k417.356957%7.356957%7.4%4,472427.213795%7.213795%7.2%1,322437.197831%7.197831%7.2%6,771447.057438%7.057438%7.1%2,337456.828339%6.828339%6.8%5,195466.035280%6.035280%6.0%1,567475.345649%5.345649%5.3%6,337484.606827%4.606827%4.6%1,085494.364428%4.364428%4.4%4,54950
Count number of people in category
# rank of county 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#52

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Montgomery County, selected other counties in Illinois, and entities that contain Montgomery County
0%10%20%30%40%Count#DuPage CountyDuPageMcLean CountyMcLeanChampaign CountyChampaignLake CountyLakeCook CountyCookJackson CountyJacksonSangamon CountySangamonKendall CountyKendallMcDonough CountyMcDonoughWill CountyWillMcHenry CountyMcHenryIllinoisKane CountyKaneDeKalb CountyDeKalbWoodford CountyWoodfordUnited States of AmericaUnited StatesPeoria CountyPeoriaMonroe CountyMonroeMidwestEast North CentralSt. Clair CountySt. ClairMadison CountyMadisonColes CountyColesTazewell CountyTazewellMacon CountyMaconAdams CountyAdamsEffingham CountyEffinghamWinnebago CountyWinnebagoWilliamson CountyWilliamsonRock Island CountyRock IslandGrundy CountyGrundyBoone CountyBooneHenry CountyHenryClinton CountyClintonMorgan CountyMorganOgle CountyOgleKankakee CountyKankakeeBureau CountyBureauLogan CountyLoganMacoupin CountyMacoupinKnox CountyKnoxStephenson CountyStephensonLee CountyLeeWhiteside CountyWhitesideLaSalle CountyLaSalleFulton CountyFultonJefferson CountyJeffersonFranklin CountyFranklinLivingston CountyLivingstonChristian CountyChristianMarion CountyMarionVermilion CountyVermilionMontgomery CountyMontgomeryRandolph CountyRandolph47.312042%47.312042%47.3%297,773298k144.529833%44.529833%44.5%46,41346.4k243.926779%43.926779%43.9%52,07352.1k343.696158%43.696158%43.7%197,868198k436.471153%36.471153%36.5%1,293,5181.29M535.905256%35.905256%35.9%12,59712.6k634.319514%34.319514%34.3%46,73746.7k734.271819%34.271819%34.3%26,07426.1k833.542508%33.542508%33.5%6,147933.454551%33.454551%33.5%147,285147k1033.246504%33.246504%33.2%67,77267.8k1132.893660%32.893660%32.9%2,834,8692.83M32.104140%32.104140%32.1%108,181108k1230.826177%30.826177%30.8%18,73818.7k1330.442151%30.442151%30.4%7,9041430.315023%30.315023%30.3%64,767,78764.8M29.797581%29.797581%29.8%37,00837.0k1529.780910%29.780910%29.8%7,0141628.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M26.144711%26.144711%26.1%46,41046.4k1725.664410%25.664410%25.7%47,16447.2k1825.325074%25.325074%25.3%8,2581925.011162%25.011162%25.0%23,52823.5k2022.806260%22.806260%22.8%16,89116.9k2122.600156%22.600156%22.6%10,42510.4k2222.479752%22.479752%22.5%5,2182322.409185%22.409185%22.4%43,68243.7k2422.075093%22.075093%22.1%10,43610.4k2522.041198%22.041198%22.0%22,16022.2k2621.773268%21.773268%21.8%7,2102721.509815%21.509815%21.5%7,4512821.270598%21.270598%21.3%7,3192921.157737%21.157737%21.2%5,6473020.637367%20.637367%20.6%4,9543119.837842%19.837842%19.8%7,1203218.957853%18.957853%19.0%13,81813.8k3318.805180%18.805180%18.8%4,4733418.374845%18.374845%18.4%3,8513518.247974%18.247974%18.2%5,9683618.069884%18.069884%18.1%6,5163717.862844%17.862844%17.9%5,8193817.711435%17.711435%17.7%4,4023917.268015%17.268015%17.3%6,8634016.963472%16.963472%17.0%13,21213.2k4116.434702%16.434702%16.4%4,2514216.429771%16.429771%16.4%4,4044315.272465%15.272465%15.3%4,2324415.212305%15.212305%15.2%3,9664515.078835%15.078835%15.1%3,6154615.029381%15.029381%15.0%3,9904713.959518%13.959518%14.0%7,5384813.869937%13.869937%13.9%2,9074912.994704%12.994704%13.0%3,11650
Count number of people in category
# rank of county 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#53

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Montgomery County, selected other counties in Illinois, and entities that contain Montgomery County
0%2%4%6%Count#Champaign CountyChampaignJackson CountyJacksonMcDonough CountyMcDonoughLake CountyLakeDuPage CountyDuPageCook CountyCookMcLean CountyMcLeanSangamon CountySangamonIllinoisUnited States of AmericaUnited StatesColes CountyColesMidwestPeoria CountyPeoriaEast North CentralDeKalb CountyDeKalbWill CountyWillBoone CountyBooneMadison CountyMadisonKane CountyKaneMorgan CountyMorganWilliamson CountyWilliamsonMcHenry CountyMcHenryMacon CountyMaconMonroe CountyMonroeJefferson CountyJeffersonWoodford CountyWoodfordSt. Clair CountySt. ClairWinnebago CountyWinnebagoKendall CountyKendallBureau CountyBureauRock Island CountyRock IslandLaSalle CountyLaSalleAdams CountyAdamsKnox CountyKnoxLivingston CountyLivingstonStephenson CountyStephensonTazewell CountyTazewellHenry CountyHenryMacoupin CountyMacoupinLee CountyLeeEffingham CountyEffinghamKankakee CountyKankakeeOgle CountyOgleWhiteside CountyWhitesideRandolph CountyRandolphLogan CountyLoganMontgomery CountyMontgomeryChristian CountyChristianFulton CountyFultonClinton CountyClintonGrundy CountyGrundyFranklin CountyFranklinMarion CountyMarionVermilion CountyVermilion7.952254%7.952254%8.0%9,42716.051191%6.051191%6.1%2,12325.140238%5.140238%5.1%94234.931243%4.931243%4.9%22,33022.3k44.837928%4.837928%4.8%30,44930.4k54.239617%4.239617%4.2%150,366150k64.108262%4.108262%4.1%4,28273.539381%3.539381%3.5%4,82083.366505%3.366505%3.4%290,135290k3.336158%3.336158%3.3%7,127,6737.13M3.164868%3.164868%3.2%1,03292.893416%2.893416%2.9%1,311,0191.31M2.892156%2.892156%2.9%3,592102.855432%2.855432%2.9%896,039896k2.709505%2.709505%2.7%1,647112.419967%2.419967%2.4%10,65410.7k122.358545%2.358545%2.4%817132.238099%2.238099%2.2%4,113142.229285%2.229285%2.2%7,512152.203708%2.203708%2.2%529162.168165%2.168165%2.2%1,025172.165350%2.165350%2.2%4,414182.091463%2.091463%2.1%1,549192.042289%2.042289%2.0%481201.962320%1.962320%2.0%526211.960407%1.960407%2.0%509221.882126%1.882126%1.9%3,341231.862730%1.862730%1.9%3,631241.790221%1.790221%1.8%1,362251.774153%1.774153%1.8%422261.728682%1.728682%1.7%1,738271.703794%1.703794%1.7%1,327281.697451%1.697451%1.7%783291.638935%1.638935%1.6%591301.633999%1.633999%1.6%426311.565570%1.565570%1.6%510321.501010%1.501010%1.5%1,412331.447296%1.447296%1.4%498341.421801%1.421801%1.4%465351.331778%1.331778%1.3%331361.313976%1.313976%1.3%305371.308857%1.308857%1.3%954381.217575%1.217575%1.2%437391.205213%1.205213%1.2%479401.188540%1.188540%1.2%285411.173776%1.173776%1.2%246421.106923%1.106923%1.1%232431.080337%1.080337%1.1%259441.063172%1.063172%1.1%275450.992881%0.992881%1.0%265460.942200%0.942200%0.9%312470.837243%0.837243%0.8%232480.809854%0.809854%0.8%215490.716680%0.716680%0.7%38750
Count number of people in category
# rank of county 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#54

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 Montgomery County, selected other counties in Illinois, and entities that contain Montgomery County
Female
Male
1x0x1x2xFM#RandolphMorganMontgomeryClintonBureauLeeFultonLivingstonKnoxGrundyChristianAdamsBooneKankakeeLoganStephensonHenryWillWhitesideMarionWilliamsonEffinghamMcDonoughJeffersonWinnebagoMcHenryDeKalbMidwestEast North CentralLaSalleVermilionKendallKaneIllinoisUnited StatesColesMacoupinSangamonChampaignMcLeanPeoriaSt. ClairRock IslandCookMaconFranklinLakeDuPageWoodfordMadisonMonroeJacksonTazewellOgle-1.000000x-1.000000x2.108341x2.108341x2.11x9.638%9.64%20.319%20.3%1-1.000000x-1.000000x1.731413x1.731413x1.73x6.758%6.76%11.701%11.7%2-1.000000x-1.000000x1.723114x1.723114x1.72x10.170%10.2%17.524%17.5%3-1.000000x-1.000000x1.631321x1.631321x1.63x7.987%7.99%13.029%13.0%4-1.000000x-1.000000x1.531504x1.531504x1.53x7.373%7.37%11.292%11.3%5-1.000000x-1.000000x1.481946x1.481946x1.48x9.338%9.34%13.838%13.8%6-1.000000x-1.000000x1.426661x1.426661x1.43x10.176%10.2%14.517%14.5%7-1.000000x-1.000000x1.366923x1.366923x1.37x9.910%9.91%13.546%13.5%8-1.000000x-1.000000x1.342654x1.342654x1.34x10.251%10.3%13.763%13.8%9-1.000000x-1.000000x1.337181x1.337181x1.34x6.053%6.05%8.094%8.09%10-1.000000x-1.000000x1.336885x1.336885x1.34x10.287%10.3%13.752%13.8%11-1.000000x-1.000000x1.320824x1.320824x1.32x7.219%7.22%9.535%9.54%12-1.000000x-1.000000x1.294059x1.294059x1.29x12.138%12.1%15.707%15.7%13-1.000000x-1.000000x1.292047x1.292047x1.29x11.097%11.1%14.338%14.3%14-1.000000x-1.000000x1.251547x1.251547x1.25x11.198%11.2%14.015%14.0%15-1.000000x-1.000000x1.248046x1.248046x1.25x8.304%8.30%10.363%10.4%16-1.000000x-1.000000x1.240815x1.240815x1.24x9.931%9.93%12.323%12.3%17-1.000000x-1.000000x1.226303x1.226303x1.23x8.266%8.27%10.137%10.1%18-1.000000x-1.000000x1.223253x1.223253x1.22x10.186%10.2%12.460%12.5%19-1.000000x-1.000000x1.221125x1.221125x1.22x10.427%10.4%12.732%12.7%20-1.000000x-1.000000x1.213457x1.213457x1.21x8.843%8.84%10.730%10.7%21-1.000000x-1.000000x1.209578x1.209578x1.21x8.045%8.05%9.731%9.73%22-1.000000x-1.000000x1.209118x1.209118x1.21x6.558%6.56%7.929%7.93%23-1.000000x-1.000000x1.188824x1.188824x1.19x12.906%12.9%15.343%15.3%24-1.000000x-1.000000x1.178189x1.178189x1.18x11.594%11.6%13.660%13.7%25-1.000000x-1.000000x1.158108x1.158108x1.16x6.857%6.86%7.941%7.94%26-1.000000x-1.000000x1.128876x1.128876x1.13x6.917%6.92%7.808%7.81%27-1.000000x-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-1.000000x1.123428x1.123428x1.12x10.888%10.9%12.232%12.2%28-1.000000x-1.000000x1.118440x1.118440x1.12x12.071%12.1%13.501%13.5%29-1.000000x-1.000000x1.116824x1.116824x1.12x6.462%6.46%7.217%7.22%30-1.000000x-1.000000x1.116173x1.116173x1.12x15.967%16.0%17.822%17.8%31-1.000000x-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-1.000000x1.107339x1.107339x1.11x9.308%9.31%10.307%10.3%32-1.000000x-1.000000x1.101402x1.101402x1.10x9.575%9.58%10.546%10.5%33-1.000000x-1.000000x1.099818x1.099818x1.10x7.420%7.42%8.160%8.16%34-1.000000x-1.000000x1.094966x1.094966x1.09x5.110%5.11%5.596%5.60%35-1.000000x-1.000000x1.091645x1.091645x1.09x4.179%4.18%4.563%4.56%36-1.000000x-1.000000x1.090992x1.090992x1.09x9.339%9.34%10.189%10.2%37-1.000000x-1.000000x1.088751x1.088751x1.09x9.080%9.08%9.886%9.89%38-1.000000x-1.000000x1.088640x1.088640x1.09x10.903%10.9%11.869%11.9%39-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%40-1.000000x-1.000000x1.075897x1.075897x1.08x10.028%10.0%10.789%10.8%41-1.000000x-1.000000x1.073801x1.073801x1.07x11.870%11.9%12.746%12.7%42-1.000000x-1.000000x1.072897x1.072897x1.07x9.846%9.85%10.564%10.6%43-1.000000x-1.000000x1.019988x1.019988x1.02x7.491%7.49%7.640%7.64%44-1.000000x-1.000000x1.000226x1.000226x1.00x6.035%6.03%6.036%6.04%45-1.015586x-1.015586x1.02x1.000000x1.000000x7.496%7.50%7.381%7.38%46-1.054460x-1.054460x1.05x1.000000x1.000000x4.724%4.72%4.480%4.48%47-1.066065x-1.066065x1.07x1.000000x1.000000x7.990%7.99%7.495%7.49%48-1.068008x-1.068008x1.07x1.000000x1.000000x7.428%7.43%6.955%6.95%49-1.133258x-1.133258x1.13x1.000000x1.000000x12.463%12.5%10.998%11.0%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#55

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 Montgomery County, selected other counties in Illinois, and entities that contain Montgomery County
Female
Male
1x0x1x2x3xFM#FranklinLivingstonOgleMarionAdamsWhitesideBooneBureauKankakeeVermilionWinnebagoSangamonColesChristianMonroePeoriaTazewellMcDonoughMcLeanLakeJeffersonMorganChampaignMacoupinWilliamsonDuPageKaneHenryEast North CentralMidwestMaconStephensonRock IslandUnited StatesIllinoisRandolphKnoxMontgomeryFultonCookLoganSt. ClairDeKalbJacksonWillMadisonMcHenryLeeWoodfordLaSalleKendallEffinghamClintonGrundy-1.000000x-1.000000x3.880969x3.880969x3.88x0.352%0.35%1.367%1.37%1-1.000000x-1.000000x3.676521x3.676521x3.68x0.699%0.70%2.568%2.57%2-1.000000x-1.000000x3.240541x3.240541x3.24x0.580%0.58%1.879%1.88%3-1.000000x-1.000000x3.074055x3.074055x3.07x0.406%0.41%1.247%1.25%4-1.000000x-1.000000x2.815889x2.815889x2.82x0.908%0.91%2.556%2.56%5-1.000000x-1.000000x2.592598x2.592598x2.59x0.680%0.68%1.762%1.76%6-1.000000x-1.000000x2.570361x2.570361x2.57x1.330%1.33%3.419%3.42%7-1.000000x-1.000000x2.410679x2.410679x2.41x1.053%1.05%2.539%2.54%8-1.000000x-1.000000x2.205362x2.205362x2.21x0.828%0.83%1.826%1.83%9-1.000000x-1.000000x2.201740x2.201740x2.20x0.451%0.45%0.993%0.99%10-1.000000x-1.000000x2.098816x2.098816x2.10x1.220%1.22%2.561%2.56%11-1.000000x-1.000000x2.059134x2.059134x2.06x2.365%2.37%4.871%4.87%12-1.000000x-1.000000x2.026239x2.026239x2.03x2.123%2.12%4.301%4.30%13-1.000000x-1.000000x2.023627x2.023627x2.02x0.713%0.71%1.443%1.44%14-1.000000x-1.000000x1.914640x1.914640x1.91x1.420%1.42%2.718%2.72%15-1.000000x-1.000000x1.911969x1.911969x1.91x2.018%2.02%3.858%3.86%16-1.000000x-1.000000x1.867821x1.867821x1.87x1.056%1.06%1.971%1.97%17-1.000000x-1.000000x1.853449x1.853449x1.85x3.650%3.65%6.766%6.77%18-1.000000x-1.000000x1.848519x1.848519x1.85x2.914%2.91%5.387%5.39%19-1.000000x-1.000000x1.846889x1.846889x1.85x3.494%3.49%6.454%6.45%20-1.000000x-1.000000x1.793701x1.793701x1.79x1.398%1.40%2.507%2.51%21-1.000000x-1.000000x1.781083x1.781083x1.78x1.594%1.59%2.838%2.84%22-1.000000x-1.000000x1.748866x1.748866x1.75x5.834%5.83%10.203%10.2%23-1.000000x-1.000000x1.725756x1.725756x1.73x1.053%1.05%1.817%1.82%24-1.000000x-1.000000x1.705984x1.705984x1.71x1.610%1.61%2.746%2.75%25-1.000000x-1.000000x1.693272x1.693272x1.69x3.629%3.63%6.145%6.14%26-1.000000x-1.000000x1.664337x1.664337x1.66x1.682%1.68%2.800%2.80%27-1.000000x-1.000000x1.642851x1.642851x1.64x1.102%1.10%1.810%1.81%28-1.000000x-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-1.000000x1.584643x1.584643x1.58x1.642%1.64%2.601%2.60%29-1.000000x-1.000000x1.560257x1.560257x1.56x1.237%1.24%1.930%1.93%30-1.000000x-1.000000x1.545607x1.545607x1.55x1.367%1.37%2.112%2.11%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.460376x1.460376x1.46x0.948%0.95%1.384%1.38%32-1.000000x-1.000000x1.399992x1.399992x1.40x1.366%1.37%1.913%1.91%33-1.000000x-1.000000x1.397613x1.397613x1.40x0.918%0.92%1.283%1.28%34-1.000000x-1.000000x1.388182x1.388182x1.39x0.886%0.89%1.230%1.23%35-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%36-1.000000x-1.000000x1.357330x1.357330x1.36x0.995%1.00%1.351%1.35%37-1.000000x-1.000000x1.350107x1.350107x1.35x1.617%1.62%2.183%2.18%38-1.000000x-1.000000x1.349170x1.349170x1.35x2.311%2.31%3.118%3.12%39-1.000000x-1.000000x1.341920x1.341920x1.34x5.174%5.17%6.943%6.94%40-1.000000x-1.000000x1.321469x1.321469x1.32x2.092%2.09%2.765%2.77%41-1.000000x-1.000000x1.261210x1.261210x1.26x1.989%1.99%2.509%2.51%42-1.000000x-1.000000x1.243444x1.243444x1.24x1.935%1.93%2.406%2.41%43-1.000000x-1.000000x1.223265x1.223265x1.22x1.191%1.19%1.457%1.46%44-1.000000x-1.000000x1.086353x1.086353x1.09x1.881%1.88%2.044%2.04%45-1.000000x-1.000000x1.036573x1.036573x1.04x1.673%1.67%1.735%1.73%46-1.115347x-1.115347x1.12x1.000000x1.000000x1.885%1.88%1.690%1.69%47-1.133670x-1.133670x1.13x1.000000x1.000000x1.394%1.39%1.230%1.23%48-1.168893x-1.168893x1.17x1.000000x1.000000x1.073%1.07%0.918%0.92%49-1.287128x-1.287128x1.29x1.000000x1.000000x1.058%1.06%0.822%0.82%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County in the United States

There are 3,142 counties in the United States. This section compares Montgomery County to the 50 most populous counties in the United States and to those entities that contain or substantially overlap with Montgomery County. The least populous of the compared counties has a population of 941,618.

No H.S. Diploma by County#56

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Montgomery County, selected other counties in the United States, and entities that contain Montgomery County
0%10%20%Count#Bronx CountyBronxFresno CountyFresnoLos Angeles CountyLos AngelesDallas CountyDallasSan Bernardino CountySan BernardinoKings CountyKingsHarris CountyHarrisRiverside CountyRiversideMiami-Dade CountyMiami-DadeQueens CountyQueensPhiladelphia CountyPhiladelphiaBexar CountyBexarOrange CountyOrangeClark CountyClarkWayne CountyWayneTarrant CountyTarrantCook CountyCookMontgomery CountyMontgomerySan Diego CountySan DiegoSacramento CountySacramentoMilwaukee CountyMilwaukeeMaricopa CountyMaricopaUnited States of AmericaUnited StatesNew York CountyNew YorkSanta Clara CountySanta ClaraAlameda CountyAlamedaWestchester CountyWestchesterOrange CountyOrangePima CountyPimaHillsborough CountyHillsboroughPalm Beach CountyPalm BeachTravis CountyTravisIllinoisBroward CountyBrowardCuyahoga CountyCuyahogaContra Costa CountyContra CostaEast North CentralMecklenburg CountyMecklenburgMidwestSalt Lake CountySalt LakeFairfield CountyFairfieldSuffolk CountySuffolkFranklin CountyFranklinNassau CountyNassauHonolulu CountyHonoluluMontgomery CountyMontgomeryFulton CountyFultonFairfax CountyFairfaxWake CountyWakeKing CountyKingMiddlesex CountyMiddlesexHennepin CountyHennepinSt. Louis CountySt. LouisOakland CountyOaklandAllegheny CountyAllegheny28.837398%28.837398%28.8%261,022261k126.224410%26.224410%26.2%151,875152k222.282470%22.282470%22.3%1,495,6171.50M321.975765%21.975765%22.0%349,434349k421.207718%21.207718%21.2%274,381274k520.017506%20.017506%20.0%351,046351k619.839074%19.839074%19.8%554,024554k719.521191%19.521191%19.5%286,746287k819.375775%19.375775%19.4%362,252362k919.344706%19.344706%19.3%315,505316k1017.390838%17.390838%17.4%180,039180k1116.576437%16.576437%16.6%194,124194k1215.490423%15.490423%15.5%325,372325k1315.108430%15.108430%15.1%210,261210k1414.881687%14.881687%14.9%173,869174k1514.774230%14.774230%14.8%182,543183k1614.189351%14.189351%14.2%503,252503k1713.970132%13.970132%14.0%2,92813.598133%13.598133%13.6%293,959294k1813.220947%13.220947%13.2%129,386129k1913.092854%13.092854%13.1%81,52281.5k2013.051927%13.051927%13.1%348,801349k2113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k2212.928824%12.928824%12.9%166,105166k2312.700590%12.700590%12.7%141,393141k2412.397264%12.397264%12.4%81,98182.0k2512.319191%12.319191%12.3%101,664102k2612.252238%12.252238%12.3%81,21881.2k2712.196236%12.196236%12.2%108,416108k2812.054893%12.054893%12.1%122,162122k2911.841956%11.841956%11.8%90,92190.9k3011.703119%11.703119%11.7%1,008,6081.01M11.688725%11.688725%11.7%152,462152k3111.473065%11.473065%11.5%100,034100k3210.940787%10.940787%10.9%82,37182.4k3310.719464%10.719464%10.7%3,363,7843.36M10.377895%10.377895%10.4%69,51069.5k3410.244520%10.244520%10.2%4,641,8354.64M10.238253%10.238253%10.2%69,21169.2k3510.103521%10.103521%10.1%64,29864.3k369.992975%9.992975%10.0%102,414102k379.640656%9.640656%9.6%78,29978.3k389.121758%9.121758%9.1%85,26785.3k398.945780%8.945780%8.9%60,28460.3k408.836226%8.836226%8.8%62,20562.2k418.677323%8.677323%8.7%57,57157.6k428.282040%8.282040%8.3%63,67163.7k437.696387%7.696387%7.7%50,50850.5k447.543133%7.543133%7.5%110,490110k457.360151%7.360151%7.4%80,37880.4k467.173605%7.173605%7.2%59,66059.7k477.049887%7.049887%7.0%48,46648.5k486.540987%6.540987%6.5%56,30256.3k496.132273%6.132273%6.1%53,97454.0k50
Count number of people in category
# rank of county 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#57

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Montgomery County, selected other counties in the United States, and entities that contain Montgomery County
0%20%40%60%Count#New York CountyNew YorkFairfax CountyFairfaxMontgomery CountyMontgomeryMiddlesex CountyMiddlesexWake CountyWakeFulton CountyFultonSanta Clara CountySanta ClaraKing CountyKingHennepin CountyHennepinWestchester CountyWestchesterTravis CountyTravisFairfield CountyFairfieldOakland CountyOaklandAlameda CountyAlamedaNassau CountyNassauMecklenburg CountyMecklenburgSt. Louis CountySt. LouisContra Costa CountyContra CostaAllegheny CountyAlleghenyOrange CountyOrangeFranklin CountyFranklinSan Diego CountySan DiegoCook CountyCookSuffolk CountySuffolkPalm Beach CountyPalm BeachKings CountyKingsHonolulu CountyHonoluluIllinoisSalt Lake CountySalt LakeOrange CountyOrangeHillsborough CountyHillsboroughBroward CountyBrowardMaricopa CountyMaricopaCuyahoga CountyCuyahogaPima CountyPimaLos Angeles CountyLos AngelesTarrant CountyTarrantQueens CountyQueensUnited States of AmericaUnited StatesHarris CountyHarrisMilwaukee CountyMilwaukeeDallas CountyDallasSacramento CountySacramentoMidwestEast North CentralMiami-Dade CountyMiami-DadeBexar CountyBexarPhiladelphia CountyPhiladelphiaClark CountyClarkWayne CountyWayneRiverside CountyRiversideFresno CountyFresnoSan Bernardino CountySan BernardinoBronx CountyBronxMontgomery CountyMontgomery60.434640%60.434640%60.4%747,953748k160.260099%60.260099%60.3%463,270463k258.105449%58.105449%58.1%409,049409k353.004569%53.004569%53.0%578,847579k450.070856%50.070856%50.1%328,593329k549.806094%49.806094%49.8%330,446330k649.103299%49.103299%49.1%630,862631k749.055555%49.055555%49.1%718,554719k847.581343%47.581343%47.6%395,715396k947.303651%47.303651%47.3%312,811313k1046.446606%46.446606%46.4%356,611357k1146.362462%46.362462%46.4%295,047295k1245.020952%45.020952%45.0%387,521388k1343.887830%43.887830%43.9%488,594489k1443.543885%43.543885%43.5%407,033407k1543.097901%43.097901%43.1%288,665289k1642.382090%42.382090%42.4%291,365291k1740.269631%40.269631%40.3%303,182303k1839.069581%39.069581%39.1%343,876344k1938.447168%38.447168%38.4%807,572808k2038.352941%38.352941%38.4%311,493311k2136.494430%36.494430%36.5%788,922789k2236.471153%36.471153%36.5%1,293,5181.29M2334.384794%34.384794%34.4%352,396352k2434.188819%34.188819%34.2%346,463346k2534.081468%34.081468%34.1%597,685598k2633.350646%33.350646%33.4%224,744225k2732.893660%32.893660%32.9%2,834,8692.83M32.800693%32.800693%32.8%221,734222k2831.922850%31.922850%31.9%263,443263k2931.433296%31.433296%31.4%279,420279k3031.015731%31.015731%31.0%404,554405k3130.968863%30.968863%31.0%827,615828k3230.891280%30.891280%30.9%269,342269k3330.800609%30.800609%30.8%204,172204k3430.764105%30.764105%30.8%2,064,9112.06M3530.734653%30.734653%30.7%379,742380k3630.595789%30.595789%30.6%499,006499k3730.315023%30.315023%30.3%64,767,78764.8M30.076273%30.076273%30.1%839,907840k3829.748251%29.748251%29.7%185,226185k3929.683200%29.683200%29.7%471,989472k4029.283682%29.283682%29.3%286,583287k4128.952816%28.952816%29.0%13,118,64213.1M28.462853%28.462853%28.5%8,931,6868.93M27.281635%27.281635%27.3%510,061510k4226.926164%26.926164%26.9%315,328315k4326.349720%26.349720%26.3%272,786273k4422.823853%22.823853%22.8%317,635318k4522.338065%22.338065%22.3%260,985261k4621.189043%21.189043%21.2%311,245311k4719.731980%19.731980%19.7%114,275114k4819.317210%19.317210%19.3%249,922250k4919.131504%19.131504%19.1%173,169173k5013.869937%13.869937%13.9%2,907
Count number of people in category
# rank of county 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#58

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Montgomery County, selected other counties in the United States, and entities that contain Montgomery County
0%5%10%Count#Montgomery CountyMontgomeryNew York CountyNew YorkMiddlesex CountyMiddlesexFairfax CountyFairfaxWestchester CountyWestchesterSanta Clara CountySanta ClaraNassau CountyNassauAlameda CountyAlamedaFulton CountyFultonKing CountyKingFairfield CountyFairfieldSt. Louis CountySt. LouisOakland CountyOaklandHennepin CountyHennepinTravis CountyTravisAllegheny CountyAlleghenyContra Costa CountyContra CostaWake CountyWakeSan Diego CountySan DiegoPalm Beach CountyPalm BeachOrange CountyOrangeFranklin CountyFranklinCook CountyCookCuyahoga CountyCuyahogaPima CountyPimaHonolulu CountyHonoluluSuffolk CountySuffolkMiami-Dade CountyMiami-DadeSalt Lake CountySalt LakePhiladelphia CountyPhiladelphiaLos Angeles CountyLos AngelesMecklenburg CountyMecklenburgBroward CountyBrowardHillsborough CountyHillsboroughKings CountyKingsIllinoisHarris CountyHarrisUnited States of AmericaUnited StatesSacramento CountySacramentoMaricopa CountyMaricopaDallas CountyDallasOrange CountyOrangeMilwaukee CountyMilwaukeeMidwestEast North CentralBexar CountyBexarQueens CountyQueensFresno CountyFresnoTarrant CountyTarrantClark CountyClarkRiverside CountyRiversideWayne CountyWayneSan Bernardino CountySan BernardinoBronx CountyBronxMontgomery CountyMontgomery12.399695%12.399695%12.4%87,29187.3k110.788423%10.788423%10.8%133,520134k28.541485%8.541485%8.5%93,27993.3k37.784891%7.784891%7.8%59,84959.8k47.604460%7.604460%7.6%50,28750.3k56.177550%6.177550%6.2%79,36779.4k65.833659%5.833659%5.8%54,53154.5k75.762347%5.762347%5.8%64,15164.2k85.719518%5.719518%5.7%37,94737.9k95.673632%5.673632%5.7%83,10683.1k105.463614%5.463614%5.5%34,77034.8k115.244723%5.244723%5.2%36,05636.1k125.214131%5.214131%5.2%44,88144.9k135.193709%5.193709%5.2%43,19443.2k145.061951%5.061951%5.1%38,86538.9k155.039180%5.039180%5.0%44,35344.4k164.956168%4.956168%5.0%37,31437.3k174.892146%4.892146%4.9%32,10532.1k184.749001%4.749001%4.7%102,662103k194.475020%4.475020%4.5%45,34945.3k204.348784%4.348784%4.3%91,34591.3k214.335519%4.335519%4.3%35,21235.2k224.239617%4.239617%4.2%150,366150k234.184410%4.184410%4.2%36,48436.5k244.139192%4.139192%4.1%27,43827.4k253.970725%3.970725%4.0%26,75826.8k263.962200%3.962200%4.0%40,60740.6k273.784527%3.784527%3.8%70,75670.8k283.768025%3.768025%3.8%25,47225.5k293.720350%3.720350%3.7%38,51538.5k303.604427%3.604427%3.6%241,932242k313.598297%3.598297%3.6%24,10124.1k323.517075%3.517075%3.5%45,87545.9k333.474402%3.474402%3.5%30,88530.9k343.384967%3.384967%3.4%59,36259.4k353.366505%3.366505%3.4%290,135290k3.344637%3.344637%3.3%93,40293.4k363.336158%3.336158%3.3%7,127,6737.13M3.266254%3.266254%3.3%31,96532.0k373.113482%3.113482%3.1%83,20583.2k383.037379%3.037379%3.0%48,29748.3k392.990491%2.990491%3.0%24,67924.7k402.985811%2.985811%3.0%18,59118.6k412.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.818073%2.818073%2.8%33,00233.0k422.756960%2.756960%2.8%44,96545.0k432.392530%2.392530%2.4%13,85613.9k442.368743%2.368743%2.4%29,26729.3k452.315475%2.315475%2.3%32,22432.2k462.260473%2.260473%2.3%33,20433.2k472.178386%2.178386%2.2%25,45125.5k481.852789%1.852789%1.9%23,97124.0k491.664253%1.664253%1.7%15,06415.1k501.106923%1.106923%1.1%232
Count number of people in category
# rank of county 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#59

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 Montgomery County, selected other counties in the United States, and entities that contain Montgomery County
Female
Male
1x0x1xFM#MontgomeryMecklenburgPalm BeachWakeWestchesterFairfieldContra CostaHillsboroughFresnoMidwestEast North CentralDallasSuffolkIllinoisMilwaukeeWayneUnited StatesOrangeHarrisFultonPhiladelphiaSan BernardinoTarrantCookMaricopaCuyahogaTravisBrowardRiversideOaklandNassauSalt LakeFranklinSacramentoMontgomeryBronxMiddlesexKingsFairfaxBexarPimaKingLos AngelesClarkOrangeSt. LouisHennepinMiami-DadeQueensAlamedaAlleghenyNew YorkSan DiegoSanta ClaraHonolulu-1.000000x-1.000000x1.723114x1.723114x1.72x10.170%10.2%17.524%17.5%-1.000000x-1.000000x1.282326x1.282326x1.28x9.163%9.16%11.750%11.7%1-1.000000x-1.000000x1.244689x1.244689x1.24x10.804%10.8%13.447%13.4%2-1.000000x-1.000000x1.180227x1.180227x1.18x7.089%7.09%8.367%8.37%3-1.000000x-1.000000x1.161379x1.161379x1.16x11.523%11.5%13.383%13.4%4-1.000000x-1.000000x1.158198x1.158198x1.16x9.397%9.40%10.884%10.9%5-1.000000x-1.000000x1.145263x1.145263x1.15x10.231%10.2%11.718%11.7%6-1.000000x-1.000000x1.132218x1.132218x1.13x11.472%11.5%12.989%13.0%7-1.000000x-1.000000x1.130389x1.130389x1.13x24.647%24.6%27.860%27.9%8-1.000000x-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-1.000000x1.120951x1.120951x1.12x20.762%20.8%23.273%23.3%9-1.000000x-1.000000x1.117209x1.117209x1.12x9.458%9.46%10.567%10.6%10-1.000000x-1.000000x1.113796x1.113796x1.11x11.095%11.1%12.358%12.4%-1.000000x-1.000000x1.111013x1.111013x1.11x12.441%12.4%13.822%13.8%11-1.000000x-1.000000x1.109962x1.109962x1.11x14.154%14.2%15.710%15.7%12-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.101852x1.101852x1.10x11.740%11.7%12.936%12.9%13-1.000000x-1.000000x1.098530x1.098530x1.10x18.925%18.9%20.790%20.8%14-1.000000x-1.000000x1.090368x1.090368x1.09x8.321%8.32%9.073%9.07%15-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%16-1.000000x-1.000000x1.084622x1.084622x1.08x20.369%20.4%22.092%22.1%17-1.000000x-1.000000x1.079174x1.079174x1.08x14.234%14.2%15.361%15.4%18-1.000000x-1.000000x1.079067x1.079067x1.08x13.676%13.7%14.757%14.8%19-1.000000x-1.000000x1.072566x1.072566x1.07x12.608%12.6%13.523%13.5%20-1.000000x-1.000000x1.068330x1.068330x1.07x11.121%11.1%11.881%11.9%21-1.000000x-1.000000x1.066137x1.066137x1.07x11.462%11.5%12.220%12.2%22-1.000000x-1.000000x1.065180x1.065180x1.07x11.337%11.3%12.076%12.1%23-1.000000x-1.000000x1.064463x1.064463x1.06x18.923%18.9%20.143%20.1%24-1.000000x-1.000000x1.062700x1.062700x1.06x6.352%6.35%6.750%6.75%25-1.000000x-1.000000x1.061865x1.061865x1.06x8.863%8.86%9.411%9.41%26-1.000000x-1.000000x1.061606x1.061606x1.06x9.934%9.93%10.546%10.5%27-1.000000x-1.000000x1.059046x1.059046x1.06x9.376%9.38%9.930%9.93%28-1.000000x-1.000000x1.056584x1.056584x1.06x12.873%12.9%13.601%13.6%29-1.000000x-1.000000x1.048432x1.048432x1.05x8.640%8.64%9.059%9.06%30-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%31-1.000000x-1.000000x1.025105x1.025105x1.03x7.273%7.27%7.455%7.46%32-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%33-1.000000x-1.000000x1.016052x1.016052x1.02x8.218%8.22%8.350%8.35%34-1.000000x-1.000000x1.009187x1.009187x1.01x16.504%16.5%16.655%16.7%35-1.000000x-1.000000x1.001235x1.001235x1.00x12.245%12.2%12.260%12.3%36-1.004399x-1.004399x1.00x1.000000x1.000000x7.560%7.56%7.526%7.53%37-1.004399x-1.004399x1.00x1.000000x1.000000x22.330%22.3%22.232%22.2%38-1.008231x-1.008231x1.01x1.000000x1.000000x15.170%15.2%15.046%15.0%39-1.015422x-1.015422x1.02x1.000000x1.000000x15.605%15.6%15.368%15.4%40-1.015859x-1.015859x1.02x1.000000x1.000000x7.101%7.10%6.990%6.99%41-1.016401x-1.016401x1.02x1.000000x1.000000x7.230%7.23%7.114%7.11%42-1.022059x-1.022059x1.02x1.000000x1.000000x19.576%19.6%19.154%19.2%43-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%44-1.029280x-1.029280x1.03x1.000000x1.000000x12.877%12.9%12.511%12.5%45-1.033862x-1.033862x1.03x1.000000x1.000000x6.229%6.23%6.025%6.02%46-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%47-1.097207x-1.097207x1.10x1.000000x1.000000x14.217%14.2%12.958%13.0%48-1.110312x-1.110312x1.11x1.000000x1.000000x13.602%13.6%12.250%12.3%49-1.156494x-1.156494x1.16x1.000000x1.000000x9.584%9.58%8.287%8.29%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#60

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 Montgomery County, selected other counties in the United States, and entities that contain Montgomery County
Female
Male
1x0x1x2xFM#Palm BeachSalt LakeSt. LouisOaklandMaricopaCuyahogaOrangeBexarMontgomeryPimaSuffolkRiversideDallasWestchesterTarrantFairfieldEast North CentralAlleghenyMidwestNassauBrowardClarkFranklinMecklenburgFairfaxWayneUnited StatesSanta ClaraFultonIllinoisContra CostaMilwaukeeSan DiegoOrangeFresnoHillsboroughHarrisMiami-DadeHennepinTravisMontgomeryLos AngelesCookWakeAlamedaMiddlesexKingPhiladelphiaSan BernardinoHonoluluQueensSacramentoKingsNew YorkBronx-1.000000x-1.000000x2.101230x2.101230x2.10x2.942%2.94%6.181%6.18%1-1.000000x-1.000000x2.085261x2.085261x2.09x2.448%2.45%5.105%5.11%2-1.000000x-1.000000x1.898944x1.898944x1.90x3.714%3.71%7.052%7.05%3-1.000000x-1.000000x1.827444x1.827444x1.83x3.743%3.74%6.840%6.84%4-1.000000x-1.000000x1.685640x1.685640x1.69x2.336%2.34%3.937%3.94%5-1.000000x-1.000000x1.683297x1.683297x1.68x3.179%3.18%5.351%5.35%6-1.000000x-1.000000x1.678378x1.678378x1.68x2.251%2.25%3.778%3.78%7-1.000000x-1.000000x1.660749x1.660749x1.66x2.139%2.14%3.552%3.55%8-1.000000x-1.000000x1.654377x1.654377x1.65x9.490%9.49%15.700%15.7%9-1.000000x-1.000000x1.652714x1.652714x1.65x3.148%3.15%5.202%5.20%10-1.000000x-1.000000x1.626700x1.626700x1.63x3.043%3.04%4.950%4.95%11-1.000000x-1.000000x1.619416x1.619416x1.62x1.734%1.73%2.808%2.81%12-1.000000x-1.000000x1.609547x1.609547x1.61x2.346%2.35%3.776%3.78%13-1.000000x-1.000000x1.607280x1.607280x1.61x5.915%5.92%9.508%9.51%14-1.000000x-1.000000x1.602206x1.602206x1.60x1.838%1.84%2.945%2.95%15-1.000000x-1.000000x1.600562x1.600562x1.60x4.251%4.25%6.804%6.80%16-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596070x1.596070x1.60x3.932%3.93%6.276%6.28%17-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.577713x1.577713x1.58x4.582%4.58%7.229%7.23%18-1.000000x-1.000000x1.575810x1.575810x1.58x2.760%2.76%4.350%4.35%19-1.000000x-1.000000x1.574188x1.574188x1.57x1.803%1.80%2.838%2.84%20-1.000000x-1.000000x1.567965x1.567965x1.57x3.409%3.41%5.346%5.35%21-1.000000x-1.000000x1.566566x1.566566x1.57x2.842%2.84%4.452%4.45%22-1.000000x-1.000000x1.562801x1.562801x1.56x6.111%6.11%9.551%9.55%23-1.000000x-1.000000x1.545600x1.545600x1.55x1.736%1.74%2.683%2.68%24-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.513974x1.513974x1.51x4.919%4.92%7.447%7.45%25-1.000000x-1.000000x1.510882x1.510882x1.51x4.604%4.60%6.956%6.96%26-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.494007x1.494007x1.49x4.011%4.01%5.992%5.99%27-1.000000x-1.000000x1.492516x1.492516x1.49x2.423%2.42%3.616%3.62%28-1.000000x-1.000000x1.488172x1.488172x1.49x3.830%3.83%5.700%5.70%29-1.000000x-1.000000x1.475755x1.475755x1.48x3.533%3.53%5.214%5.21%30-1.000000x-1.000000x1.471877x1.471877x1.47x1.943%1.94%2.859%2.86%31-1.000000x-1.000000x1.467166x1.467166x1.47x2.841%2.84%4.168%4.17%32-1.000000x-1.000000x1.442161x1.442161x1.44x2.749%2.75%3.965%3.96%33-1.000000x-1.000000x1.414670x1.414670x1.41x3.162%3.16%4.473%4.47%34-1.000000x-1.000000x1.413446x1.413446x1.41x4.324%4.32%6.112%6.11%35-1.000000x-1.000000x1.407975x1.407975x1.41x4.203%4.20%5.918%5.92%36-1.000000x-1.000000x1.397613x1.397613x1.40x0.918%0.92%1.283%1.28%-1.000000x-1.000000x1.390984x1.390984x1.39x3.031%3.03%4.216%4.22%37-1.000000x-1.000000x1.383306x1.383306x1.38x3.586%3.59%4.961%4.96%38-1.000000x-1.000000x1.367936x1.367936x1.37x4.164%4.16%5.696%5.70%39-1.000000x-1.000000x1.362517x1.362517x1.36x4.905%4.91%6.683%6.68%40-1.000000x-1.000000x1.361790x1.361790x1.36x7.280%7.28%9.914%9.91%41-1.000000x-1.000000x1.345994x1.345994x1.35x4.845%4.84%6.521%6.52%42-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%43-1.000000x-1.000000x1.317072x1.317072x1.32x1.605%1.61%2.114%2.11%44-1.000000x-1.000000x1.300801x1.300801x1.30x3.459%3.46%4.499%4.50%45-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%46-1.000000x-1.000000x1.281324x1.281324x1.28x2.879%2.88%3.689%3.69%47-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%48-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%49-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

Cities:
Coffeen, Hillsboro, Litchfield, Nokomis, Witt
Townships:
Audubon, Bois D'Arc, Butler Grove, East Fork, Fillmore, Grisham, Harvel, Hillsboro, Irving, Nokomis, North Litchfield, Pitman, Raymond, Rountree, South Fillmore, South Litchfield, Walshville, Witt, Zanesville
Villages:
Butler, Coalton, Donnellson, Farmersville, Fillmore, Harvel, Irving, Ohlman, Panama, Raymond, Schram City, Taylor Springs, Waggoner, Walshville, Wenonah
ZIP Codes:
62015, 62017, 62019, 62032, 62049, 62051, 62056, 62069, 62074, 62075, 62076, 62077, 62080, 62083, 62086, 62089, 62091, 62094, 62533, 62538, 62546, 62553, 62557, 62558, 62560, 62572, 62640, 62690
Unified School Districts:
Auburn 10, Bond County 2, Highland 5, Hillsboro 3, Litchfield 12, Morrisonville 1, Mount Olive 5, Nokomis 22, North Mac 34, Pana 8, Panhandle 2, Pawnee 11, Ramsey 204, Vandalia 203
Congressional District:
IL-13
State Senate District:
IL-48
State House District:
IL-95
Neighboring Counties:
Bond, Christian, Fayette, Macoupin, Madison, Sangamon, Shelby
Nearby Cities:
St. Louis
Nearby Counties:
Clinton, Effingham, Jersey, Macon, Marion, Menard, Morgan, Moultrie, St. Clair