Educational Attainment in the Montgomery Township, Hickory County, Missouri (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Hickory County and the Montgomery Township
Montgomery Township
Hickory County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma223.109244%17.633120%23.109244%23.1%5567.226891%64.134374%67.226891%67.2%1609.663866%18.232506%9.663866%9.7%23
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 Hickory County at large.
Scope: population of Hickory County and the Montgomery Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma231.055901%31.055901%+31.1%23.109%23.1%17.633%17.6%4.821933%4.821933%+4.8%67.227%67.2%64.134%64.1%-46.996505%-46.996505%-47.0%9.664%9.66%18.233%18.2%
% percentage with given level in the Montgomery Township
ref. percentage with given level in Hickory 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 Hickory County and the Montgomery Township
Montgomery Township
Hickory County
0%10%20%30%40%50%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.362420%03.781513%0.515751%3.781513%3.8%90.000000%0.000000%0.0%2.411486%010.084034%6.523557%10.084034%10.1%249.243697%7.819905%9.243697%9.2%2214.705882%21.577920%14.705882%14.7%3552.521008%42.556454%52.521008%52.5%1259.663866%13.005297%9.663866%9.7%230.000000%0.000000%0.0%4.683580%00.000000%0.000000%0.0%0.543630%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 Hickory County at large.
Scope: population of Hickory County and the Montgomery Township
-500%0%+500%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%0.362%0.36%633.204633%633.204633%+633.2%3.782%3.78%0.516%0.52%-100.000000%-100.000000%-100.0%0.000%0%2.411%2.41%54.578755%54.578755%+54.6%10.084%10.1%6.524%6.52%18.207283%18.207283%+18.2%9.244%9.24%7.820%7.82%-31.847545%-31.847545%-31.8%14.706%14.7%21.578%21.6%23.414908%23.414908%+23.4%52.521%52.5%42.556%42.6%-25.692849%-25.692849%-25.7%9.664%9.66%13.005%13.0%-100.000000%-100.000000%-100.0%0.000%0%4.684%4.68%-100.000000%-100.000000%-100.0%0.000%0%0.544%0.54%
% percentage with given level in the Montgomery Township
ref. percentage with given level in Hickory 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 Hickory County and the Montgomery Township
More Females More Males
Hickory County
Montgomery Township
0%500%1,000%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-100.225225%-82.528582%-100.225225%100%31.532%31.5%15.748%15.7%-3.517804%-3.517804%4%4.689236%68.468%68.5%66.142%66.1%1,000.000000%49.410665%1,000.000000%> 1000%0.000%0%18.110%18.1%
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 Hickory County and the Montgomery Township
More Females More Males
Hickory County
Montgomery Township
1k%0k%1k%FMProfessional1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.31,000.000000%121.638857%1,000.000000%> 1000%0.000%0%7.087%7.09%-35.217035%-144.391563%-35.217035%0k%11.712%11.7%8.661%8.66%-1,000.000000%-60.748074%-1,000.000000%> 1000%19.820%19.8%0.000%0%249.606299%16.463871%249.606299%0k%6.306%6.31%22.047%22.0%-40.974903%-0.824761%-40.974903%0k%62.162%62.2%44.094%44.1%1,000.000000%37.492331%1,000.000000%> 1000%0.000%0%18.110%18.1%
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 Hickory County and the Montgomery Township
Montgomery Township
Hickory County
0%10%20%30%40%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%6.176569%0750.000000%0.000000%0.0%5.026930%09227.659574%11.695138%27.659574%27.7%134745.833333%8.474576%45.833333%45.8%1124
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 Hickory County at large.
Scope: population of Hickory County and the Montgomery Township
100%0%100%200%300%400%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%6.177%6.18%-100.000000%-100.000000%100.0%0.000%0%5.027%5.03%136.504901%136.504901%136.5%27.660%27.7%11.695%11.7%440.833333%440.833333%440.8%45.833%45.8%8.475%8.47%
% percentage in the Montgomery Township with a Bachelor's degree
ref percentage in Hickory 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 Hickory County and the Montgomery Township
More Females More Males
Hickory County
Montgomery Township
1,000%500%0%500%1,000%FM35-4425-34-1,000.000000%-127.414392%-1,000.000000%> 1000%38.235%38.2%0.000%0%-257.692308%1,000.000000%1,000.000000%> 1000%0.000%0%57.895%57.9%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Hickory County and the Montgomery Township
Montgomery Township
Hickory County
$0k$10k$20k$30kCount%H.S. Diploma2Total$30,987.000000$20,634.000000$30,987.000000$31.0k12552.521%52.5%$32,100.000000$21,900.000000$32,100.000000$32.1k238100.000%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 Hickory County and the Montgomery Township
Female Male
Hickory County
Montgomery Township
Shaded bar tips show excess over facing bar.
$30k$20k$10k$0k$10k$20k$30kFMH.S. Diploma2$-30,962.000000$-80.000000$-12,309.000000$-31,042.000000$31.0k$30,962.000000$12,309.000000$18,756.000000$30,962.000000$31.0k6956
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 Hickory County and the Montgomery Township
Montgomery Township
Hickory County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%67.076167%100.000000%100.0%3357.407407%60.270078%57.407407%57.4%3171.830986%55.875576%71.830986%71.8%51100.000000%26.201550%100.000000%100.0%5
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 Hickory County and the Montgomery Township
Female Male
Hickory County
Montgomery Township
Shaded bar tips show excess over facing bar.
10%5%0%5%10%15%20%MFWhite1-0.000000%-14.120631%0.000000%0.0%0.000000%18.110236%14.120631%7.269743%18.110236%18.1%230
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 Hickory County and the Montgomery Township
Female Male
Hickory County
Montgomery Township
Shaded bar tips show excess over facing bar.
10%5%0%5%10%15%MFWhite1-11.711712%-6.625074%-6.678195%-11.711712%11.7%11.711712%4.036320%6.625074%15.748031%15.7%2013
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 Missouri

There are 1,395 county subdivisions in Missouri. This section compares the Montgomery Township to the 50 most populous county subdivisions in Missouri and to those entities that contain or substantially overlap with the Montgomery Township. The least populous of the compared county subdivisions has a population of 30,106.

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 Montgomery Township, selected other county subdivisions in Missouri, and entities that contain the Montgomery Township
0%5%10%15%Count#Hickory CountyHickorySt. Francois TownshipSt. Francois470100Tract 470100Normandy TownshipNormandySt. LouisNorwood TownshipNorwoodAirport TownshipAirportBlue TownshipLemay TownshipLemayMidland TownshipMidlandWashington TownshipWashingtonSt. Ferdinand TownshipSt. FerdinandUnited States of AmericaUnited StatesKaw TownshipRock TownshipMissouriSpringfield TownshipSpringfieldWashington TownshipWashingtonUniversity TownshipUnivFlorissant TownshipFlorissantMidwestJoplin TownshipJoplinBrooking TownshipBrookingFerguson TownshipFergusonCape Girardeau TownshipCape GirardeauMontgomery TownshipMontgomeryWest North CentralConcord TownshipConcordColumbia TownshipColumbiaGallatin TownshipGallatinChouteau TownshipChouteauNorthwest TownshipNWSpanish Lake TownshipSpanish LkWentzville TownshipWentzvilleCullen TownshipCullenJefferson TownshipJeffersonGravois TownshipGravoisLewis and Clark TownshipLewis and ClarkTesson Ferry TownshipTesson FerrySni-A-Bar TownshipSni-A-BarLiberty TownshipLibertyQueeny TownshipQueenyMissouri TownshipMissouriOakville TownshipOakvilleBoone TownshipBooneBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsMeramec TownshipMeramecPrairie TownshipPrairieLafayette TownshipLafayetteCreve Coeur TownshipCreve CoeurWildhorse TownshipWildhorseHadley TownshipHadleyClayton TownshipClaytonMissouri River TownshipMissouri RivJefferson TownshipJeffersonChesterfield TownshipChesterfield18.232506%18.232506%18.2%1,30816.564192%16.564192%16.6%3,610116.033138%16.033138%16.0%32915.494437%15.494437%15.5%3,245215.466266%15.466266%15.5%33,80433.8k314.895461%14.895461%14.9%2,921414.777735%14.777735%14.8%3,454514.241047%14.241047%14.2%15,25815.3k614.236246%14.236246%14.2%3,659714.013093%14.013093%14.0%3,275813.448887%13.448887%13.4%7,053913.139625%13.139625%13.1%2,5551013.020590%13.020590%13.0%27,818,38027.8M12.455744%12.455744%12.5%15,16315.2k1111.722399%11.722399%11.7%2,5101211.167196%11.167196%11.2%454,882455k10.767091%10.767091%10.8%11,14911.1k1310.634663%10.634663%10.6%4,9801410.592623%10.592623%10.6%2,3291510.324033%10.324033%10.3%2,4311610.244520%10.244520%10.2%4,641,8354.64M10.161348%10.161348%10.2%2,834179.955155%9.955155%10.0%5,128189.870005%9.870005%9.9%2,255199.775704%9.775704%9.8%2,493209.663866%9.663866%9.7%239.174633%9.174633%9.2%1,278,0511.28M8.571846%8.571846%8.6%2,348218.563121%8.563121%8.6%2,739228.543044%8.543044%8.5%4,162238.223020%8.223020%8.2%2,932248.206995%8.206995%8.2%1,781257.944951%7.944951%7.9%1,882267.272790%7.272790%7.3%2,099276.911877%6.911877%6.9%1,353286.682723%6.682723%6.7%2,414296.620459%6.620459%6.6%1,662306.354134%6.354134%6.4%1,617316.080066%6.080066%6.1%1,780325.681479%5.681479%5.7%3,048335.095688%5.095688%5.1%1,989344.988602%4.988602%5.0%1,313354.550513%4.550513%4.6%1,799364.457702%4.457702%4.5%1,203374.187380%4.187380%4.2%1,314383.898356%3.898356%3.9%1,034393.830437%3.830437%3.8%1,003403.829155%3.829155%3.8%979413.691019%3.691019%3.7%2,511423.532710%3.532710%3.5%857433.513806%3.513806%3.5%943443.420021%3.420021%3.4%864453.328937%3.328937%3.3%732463.226913%3.226913%3.2%847472.130671%2.130671%2.1%542481.842560%1.842560%1.8%459491.802981%1.802981%1.8%49650
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#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Montgomery Township, selected other county subdivisions in Missouri, and entities that contain the Montgomery Township
0%20%40%60%Count#Missouri River TownshipMissouri RivClayton TownshipClaytonChesterfield TownshipChesterfieldJefferson TownshipJeffersonHadley TownshipHadleyCreve Coeur TownshipCreve CoeurLafayette TownshipLafayetteBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsMissouri TownshipMissouriWildhorse TownshipWildhorseQueeny TownshipQueenyMeramec TownshipMeramecColumbia TownshipColumbiaPrairie TownshipPrairieKaw TownshipBoone TownshipBooneGravois TownshipGravoisLiberty TownshipLibertyTesson Ferry TownshipTesson FerryOakville TownshipOakvilleJefferson TownshipJeffersonUniversity TownshipUnivCape Girardeau TownshipCape GirardeauConcord TownshipConcordSt. LouisChouteau TownshipChouteauSni-A-Bar TownshipSni-A-BarUnited States of AmericaUnited StatesWest North CentralCullen TownshipCullenMidwestWentzville TownshipWentzvilleNorthwest TownshipNWSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkMissouriGallatin TownshipGallatinSpringfield TownshipSpringfieldFlorissant TownshipFlorissantRock TownshipJoplin TownshipJoplinLemay TownshipLemayFerguson TownshipFergusonWashington TownshipWashingtonWashington TownshipWashingtonBrooking TownshipBrookingAirport TownshipAirportNormandy TownshipNormandyMidland TownshipMidlandSt. Francois TownshipSt. FrancoisBlue TownshipSt. Ferdinand TownshipSt. FerdinandMontgomery TownshipMontgomeryNorwood TownshipNorwood470100Tract 470100Hickory CountyHickory71.743062%71.743062%71.7%18,25018.3k170.432033%70.432033%70.4%18,48718.5k268.124318%68.124318%68.1%18,74118.7k367.676930%67.676930%67.7%16,85916.9k466.683342%66.683342%66.7%14,66314.7k561.702128%61.702128%61.7%16,55916.6k659.413001%59.413001%59.4%14,41314.4k758.403710%58.403710%58.4%15,49115.5k857.956846%57.956846%58.0%15,17615.2k956.895331%56.895331%56.9%22,49322.5k1052.990540%52.990540%53.0%13,38713.4k1152.545593%52.545593%52.5%13,83013.8k1250.041069%50.041069%50.0%12,79412.8k1344.097418%44.097418%44.1%14,10514.1k1443.179480%43.179480%43.2%29,37529.4k1541.581304%41.581304%41.6%50,61950.6k1640.924156%40.924156%40.9%12,84212.8k1740.714627%40.714627%40.7%10,22110.2k1840.532370%40.532370%40.5%15,82115.8k1940.193332%40.193332%40.2%11,76711.8k2038.348094%38.348094%38.3%10,34910.3k2136.633170%36.633170%36.6%13,23313.2k2234.593169%34.593169%34.6%7,6062333.907145%33.907145%33.9%8,6472433.458674%33.458674%33.5%9,1652533.007421%33.007421%33.0%72,14372.1k2632.000224%32.000224%32.0%11,41011.4k2730.703847%30.703847%30.7%16,47216.5k2830.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.343550%29.343550%29.3%5,7442928.952816%28.952816%29.0%13,118,64213.1M28.661516%28.661516%28.7%8,2723027.883508%27.883508%27.9%6,0513127.803107%27.803107%27.8%6,5863227.746778%27.746778%27.7%7,0613327.634687%27.634687%27.6%1,125,6651.13M27.533971%27.533971%27.5%13,41413.4k3426.964567%26.964567%27.0%27,92127.9k3526.084002%26.084002%26.1%6,1423623.617598%23.617598%23.6%5,0573722.273216%22.273216%22.3%6,2123821.247374%21.247374%21.2%5,4613920.860507%20.860507%20.9%4,7664020.553744%20.553744%20.6%10,77910.8k4119.744597%19.744597%19.7%9,2464219.100775%19.100775%19.1%9,8394318.927823%18.927823%18.9%4,4244418.583775%18.583775%18.6%3,8924517.401908%17.401908%17.4%4,0674616.325594%16.325594%16.3%3,5584715.821208%15.821208%15.8%16,95117.0k4814.080741%14.080741%14.1%2,7384913.865546%13.865546%13.9%3312.335543%12.335543%12.3%2,4195010.380117%10.380117%10.4%2139.813214%9.813214%9.8%704
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#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 Montgomery Township, selected other county subdivisions in Missouri, and entities that contain the Montgomery Township
0%5%10%15%Count#Clayton TownshipClaytonHadley TownshipHadleyMissouri River TownshipMissouri RivMissouri TownshipMissouriJefferson TownshipJeffersonCreve Coeur TownshipCreve CoeurChesterfield TownshipChesterfieldUniversity TownshipUnivBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsLafayette TownshipLafayetteColumbia TownshipColumbiaKaw TownshipQueeny TownshipQueenySt. LouisWildhorse TownshipWildhorsePrairie TownshipPrairieGravois TownshipGravoisMontgomery TownshipMontgomeryMeramec TownshipMeramecCape Girardeau TownshipCape GirardeauTesson Ferry TownshipTesson FerryUnited States of AmericaUnited StatesJefferson TownshipJeffersonWest North CentralSpringfield TownshipSpringfieldMidwestMissouriGallatin TownshipGallatinChouteau TownshipChouteauSni-A-Bar TownshipSni-A-BarConcord TownshipConcordLiberty TownshipLibertyOakville TownshipOakvilleBoone TownshipBooneWashington TownshipWashingtonSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkRock TownshipSt. Francois TownshipSt. FrancoisBrooking TownshipBrookingNorthwest TownshipNWWentzville TownshipWentzvilleFerguson TownshipFergusonCullen TownshipCullenFlorissant TownshipFlorissantJoplin TownshipJoplinNormandy TownshipNormandy470100Tract 470100Airport TownshipAirportWashington TownshipWashingtonBlue TownshipMidland TownshipMidlandHickory CountyHickorySt. Ferdinand TownshipSt. FerdinandLemay TownshipLemayNorwood TownshipNorwood15.361170%15.361170%15.4%4,032114.975670%14.975670%15.0%3,293214.647378%14.647378%14.6%3,726311.880913%11.880913%11.9%4,697410.621814%10.621814%10.6%2,646510.451988%10.451988%10.5%2,80569.712832%9.712832%9.7%2,67277.995634%7.995634%8.0%1,75887.329211%7.329211%7.3%1,94497.103303%7.103303%7.1%1,860106.694423%6.694423%6.7%1,624116.380917%6.380917%6.4%2,041125.896414%5.896414%5.9%7,178135.334347%5.334347%5.3%1,404144.880448%4.880448%4.9%10,66710.7k154.298777%4.298777%4.3%1,086164.176099%4.176099%4.2%2,841174.174634%4.174634%4.2%1,048183.781513%3.781513%3.8%93.739195%3.739195%3.7%956193.701670%3.701670%3.7%944203.415767%3.415767%3.4%1,000213.336158%3.336158%3.3%7,127,6737.13M3.189104%3.189104%3.2%1,152222.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015232.893416%2.893416%2.9%1,311,0191.31M2.822400%2.822400%2.8%114,967115k2.500103%2.500103%2.5%1,218242.414741%2.414741%2.4%861252.369147%2.369147%2.4%1,271262.288989%2.288989%2.3%627272.264750%2.264750%2.3%884282.204765%2.204765%2.2%595292.160612%2.160612%2.2%678302.116584%2.116584%2.1%1,110311.802600%1.802600%1.8%427321.760453%1.760453%1.8%448331.732673%1.732673%1.7%371341.711480%1.711480%1.7%373351.566656%1.566656%1.6%807361.525275%1.525275%1.5%331371.472575%1.472575%1.5%425381.444391%1.444391%1.4%330391.297573%1.297573%1.3%254401.227333%1.227333%1.2%289411.211904%1.211904%1.2%338421.098219%1.098219%1.1%230431.072125%1.072125%1.1%221.052496%1.052496%1.1%246441.018621%1.018621%1.0%477450.997751%0.997751%1.0%1,069460.919944%0.919944%0.9%215470.878171%0.878171%0.9%630.791977%0.791977%0.8%154480.700335%0.700335%0.7%180490.662927%0.662927%0.7%13050
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#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 Montgomery Township, selected other county subdivisions in Missouri, and entities that contain the Montgomery Township
Female
Male
0x5x10xFM#MontgomeryClaytonHickoryLafayetteNorwoodFlorissantCullenJeffersonJoplinGravoisBrookingWentzvilleFergusonMidlandLewis and ClarkTract 470100St. FrancoisBlue TownshipWashingtonWest North CentralWashingtonMidwestKaw TownshipUnited StatesRock TownshipMissouriGallatinAirportNormandyLibertySpringfieldSni-A-BarSt. LouisUnivBonhommeBoonePrairieOakvilleNWSt. FerdinandChouteauCape GirardeauCreve CoeurMeramecConcordColumbiaQueenyLemayHadleyMissouri RivJeffersonMaryland HtsTesson FerrySpanish LkMissouriWildhorseChesterfield-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%18.110%18.1%-1.000000x-1.000000x1.661979x1.661979x1.66x2.451%2.45%4.074%4.07%1-1.000000x-1.000000x1.494107x1.494107x1.49x14.711%14.7%21.979%22.0%-1.000000x-1.000000x1.413151x1.413151x1.41x2.955%2.96%4.176%4.18%2-1.000000x-1.000000x1.394530x1.394530x1.39x12.860%12.9%17.933%17.9%3-1.000000x-1.000000x1.355904x1.355904x1.36x8.918%8.92%12.092%12.1%4-1.000000x-1.000000x1.327941x1.327941x1.33x5.887%5.89%7.818%7.82%5-1.000000x-1.000000x1.293811x1.293811x1.29x1.626%1.63%2.103%2.10%6-1.000000x-1.000000x1.292613x1.292613x1.29x8.917%8.92%11.526%11.5%7-1.000000x-1.000000x1.249430x1.249430x1.25x5.921%5.92%7.397%7.40%8-1.000000x-1.000000x1.233432x1.233432x1.23x9.009%9.01%11.113%11.1%9-1.000000x-1.000000x1.225539x1.225539x1.23x6.552%6.55%8.029%8.03%10-1.000000x-1.000000x1.206282x1.206282x1.21x9.055%9.05%10.923%10.9%11-1.000000x-1.000000x1.200898x1.200898x1.20x12.806%12.8%15.379%15.4%12-1.000000x-1.000000x1.197697x1.197697x1.20x5.834%5.83%6.987%6.99%13-1.000000x-1.000000x1.197308x1.197308x1.20x14.668%14.7%17.562%17.6%-1.000000x-1.000000x1.168095x1.168095x1.17x15.162%15.2%17.710%17.7%14-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%15-1.000000x-1.000000x1.153736x1.153736x1.15x9.932%9.93%11.459%11.5%16-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.129340x1.129340x1.13x12.639%12.6%14.274%14.3%17-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%18-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107062x1.107062x1.11x11.143%11.1%12.336%12.3%19-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.081405x1.081405x1.08x8.224%8.22%8.894%8.89%20-1.000000x-1.000000x1.070831x1.070831x1.07x14.307%14.3%15.321%15.3%21-1.000000x-1.000000x1.059691x1.059691x1.06x15.107%15.1%16.009%16.0%22-1.000000x-1.000000x1.031907x1.031907x1.03x5.018%5.02%5.178%5.18%23-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%24-1.000000x-1.000000x1.026158x1.026158x1.03x5.612%5.61%5.758%5.76%25-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%26-1.000000x-1.000000x1.015157x1.015157x1.02x10.525%10.5%10.684%10.7%27-1.024143x-1.024143x1.02x1.000000x1.000000x3.941%3.94%3.848%3.85%28-1.033385x-1.033385x1.03x1.000000x1.000000x4.254%4.25%4.116%4.12%29-1.041840x-1.041840x1.04x1.000000x1.000000x3.762%3.76%3.611%3.61%30-1.042683x-1.042683x1.04x1.000000x1.000000x4.547%4.55%4.361%4.36%31-1.055391x-1.055391x1.06x1.000000x1.000000x8.409%8.41%7.968%7.97%32-1.067453x-1.067453x1.07x1.000000x1.000000x13.492%13.5%12.640%12.6%33-1.102472x-1.102472x1.10x1.000000x1.000000x8.610%8.61%7.809%7.81%34-1.111641x-1.111641x1.11x1.000000x1.000000x10.259%10.3%9.229%9.23%35-1.129885x-1.129885x1.13x1.000000x1.000000x3.705%3.71%3.280%3.28%36-1.132648x-1.132648x1.13x1.000000x1.000000x4.061%4.06%3.585%3.59%37-1.149013x-1.149013x1.15x1.000000x1.000000x9.114%9.11%7.932%7.93%38-1.154286x-1.154286x1.15x1.000000x1.000000x9.165%9.16%7.940%7.94%39-1.160196x-1.160196x1.16x1.000000x1.000000x5.326%5.33%4.591%4.59%40-1.168832x-1.168832x1.17x1.000000x1.000000x15.310%15.3%13.098%13.1%41-1.176084x-1.176084x1.18x1.000000x1.000000x3.588%3.59%3.051%3.05%42-1.248040x-1.248040x1.25x1.000000x1.000000x2.350%2.35%1.883%1.88%43-1.250242x-1.250242x1.25x1.000000x1.000000x7.369%7.37%5.894%5.89%44-1.327312x-1.327312x1.33x1.000000x1.000000x4.358%4.36%3.283%3.28%45-1.366415x-1.366415x1.37x1.000000x1.000000x6.917%6.92%5.062%5.06%46-1.379042x-1.379042x1.38x1.000000x1.000000x8.979%8.98%6.511%6.51%47-1.468110x-1.468110x1.47x1.000000x1.000000x5.354%5.35%3.647%3.65%48-1.482681x-1.482681x1.48x1.000000x1.000000x4.031%4.03%2.719%2.72%49-3.568132x-3.568132x3.57x1.000000x1.000000x2.737%2.74%0.767%0.77%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 Montgomery Township, selected other county subdivisions in Missouri, and entities that contain the Montgomery Township
Female
Male
0x5x10xFM#Tract 470100MontgomeryAirportMidlandHickoryMissouri RivLafayetteOakvilleCullenChesterfieldGravoisJoplinClaytonUnivSt. FrancoisMeramecConcordCreve CoeurBonhommeBlue TownshipNormandySpringfieldTesson FerryWashingtonPrairieBrookingChouteauJeffersonSt. FerdinandColumbiaNWMidwestMissouriWest North CentralLibertyMissouriCape GirardeauUnited StatesHadleyJeffersonRock TownshipQueenyKaw TownshipMaryland HtsSt. LouisGallatinSpanish LkSni-A-BarWildhorseWentzvilleLemayWashingtonFlorissantBooneLewis and ClarkNorwoodFerguson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.273%2.27%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.087%7.09%-1.000000x-1.000000x4.105211x4.105211x4.11x0.431%0.43%1.770%1.77%1-1.000000x-1.000000x3.374462x3.374462x3.37x0.435%0.44%1.469%1.47%2-1.000000x-1.000000x3.125108x3.125108x3.13x0.433%0.43%1.352%1.35%-1.000000x-1.000000x2.978747x2.978747x2.98x7.591%7.59%22.613%22.6%3-1.000000x-1.000000x2.891573x2.891573x2.89x3.534%3.53%10.219%10.2%4-1.000000x-1.000000x2.616560x2.616560x2.62x1.243%1.24%3.253%3.25%5-1.000000x-1.000000x2.236448x2.236448x2.24x0.784%0.78%1.752%1.75%6-1.000000x-1.000000x2.233412x2.233412x2.23x6.130%6.13%13.690%13.7%7-1.000000x-1.000000x2.233340x2.233340x2.23x2.635%2.63%5.884%5.88%8-1.000000x-1.000000x2.213574x2.213574x2.21x0.768%0.77%1.699%1.70%9-1.000000x-1.000000x2.130456x2.130456x2.13x9.974%9.97%21.249%21.2%10-1.000000x-1.000000x2.074667x2.074667x2.07x5.484%5.48%11.378%11.4%11-1.000000x-1.000000x1.979338x1.979338x1.98x1.112%1.11%2.201%2.20%12-1.000000x-1.000000x1.947853x1.947853x1.95x2.557%2.56%4.981%4.98%13-1.000000x-1.000000x1.901670x1.901670x1.90x1.619%1.62%3.079%3.08%14-1.000000x-1.000000x1.897752x1.897752x1.90x7.445%7.44%14.128%14.1%15-1.000000x-1.000000x1.839704x1.839704x1.84x5.292%5.29%9.735%9.74%16-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%17-1.000000x-1.000000x1.757641x1.757641x1.76x0.829%0.83%1.456%1.46%18-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%19-1.000000x-1.000000x1.741722x1.741722x1.74x2.559%2.56%4.457%4.46%20-1.000000x-1.000000x1.705183x1.705183x1.71x1.569%1.57%2.675%2.67%21-1.000000x-1.000000x1.677680x1.677680x1.68x3.170%3.17%5.319%5.32%22-1.000000x-1.000000x1.672473x1.672473x1.67x1.203%1.20%2.012%2.01%23-1.000000x-1.000000x1.664135x1.664135x1.66x1.828%1.83%3.042%3.04%24-1.000000x-1.000000x1.660593x1.660593x1.66x2.439%2.44%4.050%4.05%25-1.000000x-1.000000x1.656176x1.656176x1.66x0.623%0.62%1.032%1.03%26-1.000000x-1.000000x1.627926x1.627926x1.63x4.877%4.88%7.940%7.94%27-1.000000x-1.000000x1.594382x1.594382x1.59x1.199%1.20%1.911%1.91%28-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.564163x1.564163x1.56x1.779%1.78%2.782%2.78%29-1.000000x-1.000000x1.556641x1.556641x1.56x9.413%9.41%14.653%14.7%30-1.000000x-1.000000x1.530094x1.530094x1.53x2.964%2.96%4.535%4.54%31-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523750x1.523750x1.52x11.953%12.0%18.213%18.2%32-1.000000x-1.000000x1.465462x1.465462x1.47x8.768%8.77%12.849%12.8%33-1.000000x-1.000000x1.461492x1.461492x1.46x1.416%1.42%2.069%2.07%34-1.000000x-1.000000x1.429705x1.429705x1.43x4.455%4.46%6.369%6.37%35-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%36-1.000000x-1.000000x1.284414x1.284414x1.28x6.233%6.23%8.006%8.01%37-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%38-1.000000x-1.000000x1.271646x1.271646x1.27x2.214%2.21%2.815%2.82%39-1.000000x-1.000000x1.233946x1.233946x1.23x1.642%1.64%2.026%2.03%40-1.000000x-1.000000x1.228666x1.228666x1.23x2.136%2.14%2.625%2.62%41-1.000000x-1.000000x1.189595x1.189595x1.19x3.950%3.95%4.699%4.70%42-1.000000x-1.000000x1.180028x1.180028x1.18x1.354%1.35%1.597%1.60%43-1.000000x-1.000000x1.108475x1.108475x1.11x0.665%0.67%0.737%0.74%44-1.000000x-1.000000x1.066269x1.066269x1.07x0.988%0.99%1.054%1.05%45-1.000000x-1.000000x1.014307x1.014307x1.01x1.220%1.22%1.237%1.24%46-1.112780x-1.112780x1.11x1.000000x1.000000x2.272%2.27%2.042%2.04%47-1.257957x-1.257957x1.26x1.000000x1.000000x1.940%1.94%1.542%1.54%48-1.563504x-1.563504x1.56x1.000000x1.000000x0.775%0.77%0.496%0.50%49-1.780772x-1.780772x1.78x1.000000x1.000000x1.786%1.79%1.003%1.00%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 Montgomery Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Montgomery Township. The least populous of the compared county subdivisions has a population of 112,821.

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 Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitHickory CountyHickoryMilwaukeeNorth TownshipNDaytonChicago470100Tract 470100Proviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMissouriMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsMontgomery TownshipMontgomeryWest North CentralCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k618.232506%18.232506%18.2%1,30817.485105%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%309,770310k1016.033138%16.033138%16.0%32915.636222%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%9,3752611.376979%11.376979%11.4%60,83160.8k2711.167196%11.167196%11.2%454,882455k11.132206%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%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.663866%9.663866%9.7%239.174633%9.174633%9.2%1,278,0511.28M8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaMissouriSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipMontgomery TownshipMontgomeryDetroit470100Tract 470100Hickory CountyHickory72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%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%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.634687%27.634687%27.6%1,125,6651.13M27.532180%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%16,95117.0k4913.865546%13.865546%13.9%3313.833543%13.833543%13.8%59,72359.7k5010.380117%10.380117%10.4%2139.813214%9.813214%9.8%704
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 Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery Township
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMaineMontgomery TownshipMontgomeryPalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheMissouriCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayne470100Tract 470100WarrenBlue TownshipAurora TownshipAuroraHickory CountyHickoryThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.781513%3.781513%3.8%93.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%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%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.822400%2.822400%2.8%114,967115k2.602914%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%1,040461.072125%1.072125%1.1%221.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.878171%0.878171%0.9%630.876686%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#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 Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery Township
Female
Male
0x5x10xFM#MontgomeryHickoryCedar RapidsLincolnDetroitOmahaToledoThorntonTract 470100Kansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkMissouriAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%18.110%18.1%-1.000000x-1.000000x1.494107x1.494107x1.49x14.711%14.7%21.979%22.0%-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-1.000000x1.197308x1.197308x1.20x14.668%14.7%17.562%17.6%-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-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-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-1.000000x1.123984x1.123984x1.12x16.526%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-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 Montgomery Township, selected other county subdivisions in the Midwest, and entities that contain the Montgomery Township
Female
Male
0x5x10xFM#Tract 470100MontgomeryHickoryRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestMissouriBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.273%2.27%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.087%7.09%-1.000000x-1.000000x3.125108x3.125108x3.13x0.433%0.43%1.352%1.35%-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-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-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-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-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 Montgomery Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Montgomery Township. The least populous of the compared county subdivisions has a population of 547,300.

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 Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery 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 VlyHickory CountyHickoryMilwaukeePhiladelphiaOntarioChicagoBaltimore470100Tract 470100Oceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaMissouriSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonMontgomery TownshipMontgomeryAtlantaWest North CentralSeattleNortheast TarrantNE TarrantPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1818.232506%18.232506%18.2%1,30817.485105%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%69,83969.8k2316.033138%16.033138%16.0%32915.999398%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%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4111.167196%11.167196%11.2%454,882455k10.435356%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%46,51046.5k459.663866%9.663866%9.7%239.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoMissouriEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlMontgomery TownshipMontgomeryDetroit470100Tract 470100Hickory CountyHickory60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%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%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%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%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.634687%27.634687%27.6%1,125,6651.13M27.276345%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%65,34165.3k4913.865546%13.865546%13.9%3313.833543%13.833543%13.8%59,72359.7k5010.380117%10.380117%10.4%2139.813214%9.813214%9.8%704
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 Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityMontgomery TownshipMontgomeryHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoMissouriAnaheim-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 DallasBronxDetroit470100Tract 470100Hickory CountyHickory12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.781513%3.781513%3.8%93.737871%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%25,05825.1k293.357865%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%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.822400%2.822400%2.8%114,967115k2.763004%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%5,693501.072125%1.072125%1.1%220.878171%0.878171%0.9%63
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 Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
Female
Male
0x5x10xFM#MontgomeryHickory1, CharlotteDetroitTract 470100BaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioMissouriSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%18.110%18.1%-1.000000x-1.000000x1.494107x1.494107x1.49x14.711%14.7%21.979%22.0%-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-1.000000x1.197308x1.197308x1.20x14.668%14.7%17.562%17.6%-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-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-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-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#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 Montgomery Township, selected other county subdivisions in the United States, and entities that contain the Montgomery Township
Female
Male
0x5x10xFM#Tract 470100MontgomeryHickoryEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestMissouriNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.273%2.27%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.087%7.09%-1.000000x-1.000000x3.125108x3.125108x3.13x0.433%0.43%1.352%1.35%-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-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.589406x1.589406x1.59x2.200%2.20%3.496%3.50%-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-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
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:
Missouri
County:
Hickory
ZIP Codes:
64776, 65735, 65774, 65779
Unified School Districts:
Weaubleau R-III, Wheatland R-II
Congressional District:
MO-4
State Senate District:
MO-28
State House District:
MO-125
Neighboring Townships:
Alexander, Dallas, Polk, Weaubleau, Wheatland
Nearby Townships:
Center, Collins, Cross Timbers, Doyal, Fristoe, Green, Hermitage, Jackson, Osceola, Tyler