Educational Attainment in the Smith Township, Dade County, Missouri (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Dade County and the Smith Township
Smith Township
Dade County
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma248.437500%21.267631%48.437500%48.4%3140.625000%65.213409%40.625000%40.6%2610.937500%13.518960%10.937500%10.9%7
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 Dade County at large.
Scope: population of Dade County and the Smith Township
-100%0%+100%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2127.752207%127.752207%+127.8%48.438%48.4%21.268%21.3%-37.704529%-37.704529%-37.7%40.625%40.6%65.213%65.2%-19.095105%-19.095105%-19.1%10.938%10.9%13.519%13.5%
% percentage with given level in the Smith Township
ref. percentage with given level in Dade 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 Dade County and the Smith Township
Smith Township
Dade County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%0.421323%09.375000%0.934237%9.375000%9.4%67.812500%4.158271%7.812500%7.8%521.875000%9.415644%21.875000%21.9%149.375000%6.338157%9.375000%9.4%64.687500%21.780546%4.687500%4.7%335.937500%43.432863%35.937500%35.9%2310.937500%8.811138%10.937500%10.9%70.000000%0.000000%0.0%3.791903%00.000000%0.000000%0.0%0.915919%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 Dade County at large.
Scope: population of Dade County and the Smith 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%0.421%0.42%903.492647%903.492647%+903.5%9.375%9.38%0.934%0.93%87.878579%87.878579%+87.9%7.813%7.81%4.158%4.16%132.326119%132.326119%+132.3%21.875%21.9%9.416%9.42%47.913656%47.913656%+47.9%9.375%9.38%6.338%6.34%-78.478501%-78.478501%-78.5%4.688%4.69%21.781%21.8%-17.257354%-17.257354%-17.3%35.938%35.9%43.433%43.4%24.132666%24.132666%+24.1%10.938%10.9%8.811%8.81%-100.000000%-100.000000%-100.0%0.000%0%3.792%3.79%-100.000000%-100.000000%-100.0%0.000%0%0.916%0.92%
% percentage with given level in the Smith Township
ref. percentage with given level in Dade 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 Dade County and the Smith Township
More Females More Males
Dade County
Smith Township
1,000%500%0%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-60.427807%-3.035178%-60.427807%60%58.824%58.8%36.667%36.7%207.619048%3.552157%207.619048%208%20.588%20.6%63.333%63.3%-1,000.000000%-12.935081%-1,000.000000%> 1000%20.588%20.6%0.000%0%
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 Dade County and the Smith Township
More Females More Males
Dade County
Smith Township
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.31,000.000000%673.158482%1,000.000000%> 1000%0.000%0%20.000%20.0%-1,000.000000%-1,000.000000%> 1000%26.333085%14.706%14.7%0.000%0%-58.823529%-58.823529%0k%12.307032%26.471%26.5%16.667%16.7%-1,000.000000%-108.119156%-1,000.000000%> 1000%17.647%17.6%0.000%0%-1,000.000000%-13.467166%-1,000.000000%> 1000%8.824%8.82%0.000%0%438.333333%12.261249%438.333333%0k%11.765%11.8%63.333%63.3%-1,000.000000%-11.295561%-1,000.000000%> 1000%20.588%20.6%0.000%0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Dade County and the Smith Township
Smith Township
Dade County
0%5%10%15%20%25%30%35%B.X.Total45-6425-3435.000000%10.373264%35.000000%35.0%14400.000000%0.000000%0.0%13.978495%024
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 Dade County at large.
Scope: population of Dade County and the Smith Township
100%0%100%200%%ref.45-6425-34237.405858%237.405858%237.4%35.000%35.0%10.373%10.4%-100.000000%-100.000000%100.0%0.000%0%13.978%14.0%
% percentage in the Smith Township with a Bachelor's degree
ref percentage in Dade 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 Dade County and the Smith Township
More Females More Males
Dade County
Smith Township
30%25%20%15%10%5%0%FM45-64-33.043478%-10.413228%-33.043478%33.0%39.130%39.1%29.412%29.4%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Dade County and the Smith Township
Smith Township
Dade County
$0k$5k$10k$15k$20k$25kCount%H.S. Diploma2Total$23,281.000000$17,917.000000$23,281.000000$23.3k2335.938%35.9%$26,250.000000$23,624.000000$26,250.000000$26.3k64100.000%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 Dade County and the Smith Township
Female Male
Dade County
Smith Township
Shaded bar tips show excess over facing bar.
$30k$20k$10k$0k$10k$20kFMTotal$-24,219.000000$-6,406.000000$-19,148.000000$-30,625.000000$30.6k$24,219.000000$19,148.000000$10,621.000000$24,219.000000$24.2k3430
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 Dade County and the Smith Township
Smith Township
Dade County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma380.000000%85.761589%80.000000%80.0%20100.000000%74.057038%100.000000%100.0%982.608696%66.687697%82.608696%82.6%190.000000%0.000000%0.0%40.283401%0
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 Dade County and the Smith Township
Female Male
Dade County
Smith Township
Shaded bar tips show excess over facing bar.
20%15%10%5%0%5%10%MFWhite1-0.000000%-20.588235%-12.549174%-0.177412%-20.588235%20.6%0.000000%12.549174%0.000000%0.0%07
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 Dade County and the Smith Township
Female Male
Dade County
Smith Township
Shaded bar tips show excess over facing bar.
40%20%0%20%40%MFWhite1-41.176471%-13.066465%-41.176471%41.2%41.176471%8.823529%13.066465%3.849349%50.000000%50.0%1114
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 Smith Township to the 50 most populous county subdivisions in Missouri and to those entities that contain or substantially overlap with the Smith 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 Smith Township, selected other county subdivisions in Missouri, and entities that contain the Smith Township
0%5%10%15%Count#St. Francois TownshipSt. FrancoisNormandy TownshipNormandySt. LouisNorwood TownshipNorwoodAirport TownshipAirport480200Tract 480200Blue TownshipLemay TownshipLemayMidland TownshipMidlandDade CountyDadeWashington TownshipWashingtonSt. Ferdinand TownshipSt. FerdinandUnited States of AmericaUnited StatesKaw TownshipRock TownshipMissouriSmith TownshipSmithSpringfield TownshipSpringfieldWashington TownshipWashingtonUniversity TownshipUnivFlorissant TownshipFlorissantMidwestJoplin TownshipJoplinBrooking TownshipBrookingFerguson TownshipFergusonCape Girardeau TownshipCape GirardeauWest 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 TownshipChesterfield16.564192%16.564192%16.6%3,610115.494437%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%3,454514.272388%14.272388%14.3%30614.241047%14.241047%14.2%15,25815.3k614.236246%14.236246%14.2%3,659714.013093%14.013093%14.0%3,275813.518960%13.518960%13.5%73813.448887%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%454,882455k10.937500%10.937500%10.9%710.767091%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%2,493209.174633%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 Smith Township, selected other county subdivisions in Missouri, and entities that contain the Smith 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 FerrySmith TownshipSmithOakville 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 TownshipMidland480200Tract 480200St. Francois TownshipSt. FrancoisBlue TownshipDade CountyDadeSt. Ferdinand TownshipSt. FerdinandNorwood TownshipNorwood71.743062%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%11,76711.8k2039.062500%39.062500%39.1%2538.348094%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%4,0674617.070896%17.070896%17.1%36616.325594%16.325594%16.3%3,5584715.821208%15.821208%15.8%16,95117.0k4814.929474%14.929474%14.9%81514.080741%14.080741%14.1%2,7384912.335543%12.335543%12.3%2,41950
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 Smith Township, selected other county subdivisions in Missouri, and entities that contain the Smith Township
0%5%10%15%Count#Clayton TownshipClaytonHadley TownshipHadleyMissouri River TownshipMissouri RivMissouri TownshipMissouriJefferson TownshipJeffersonCreve Coeur TownshipCreve CoeurChesterfield TownshipChesterfieldSmith TownshipSmithUniversity TownshipUnivBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsLafayette TownshipLafayetteColumbia TownshipColumbiaKaw TownshipQueeny TownshipQueenySt. LouisWildhorse TownshipWildhorsePrairie TownshipPrairieGravois TownshipGravoisMeramec 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 TownshipFergusonDade CountyDadeCullen TownshipCullenFlorissant TownshipFlorissantJoplin TownshipJoplinNormandy TownshipNormandy480200Tract 480200Airport TownshipAirportWashington TownshipWashingtonBlue TownshipMidland TownshipMidlandSt. 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%2,67279.375000%9.375000%9.4%67.995634%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%1,048183.739195%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%330391.355560%1.355560%1.4%741.297573%1.297573%1.3%254401.227333%1.227333%1.2%289411.211904%1.211904%1.2%338421.098219%1.098219%1.1%230431.072761%1.072761%1.1%231.052496%1.052496%1.1%246441.018621%1.018621%1.0%477450.997751%0.997751%1.0%1,069460.919944%0.919944%0.9%215470.791977%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 Smith Township, selected other county subdivisions in Missouri, and entities that contain the Smith Township
Female
Male
10x5x0xFM#ClaytonLafayetteNorwoodFlorissantCullenJeffersonJoplinGravoisBrookingWentzvilleFergusonMidlandLewis and ClarkSt. FrancoisBlue TownshipWashingtonWest North CentralWashingtonMidwestKaw TownshipUnited StatesRock TownshipMissouriGallatinAirportNormandyLibertySpringfieldSni-A-BarSt. LouisUnivBonhommeBoonePrairieOakvilleNWSt. FerdinandChouteauCape GirardeauDadeCreve CoeurMeramecConcordColumbiaQueenyLemayHadleyMissouri RivJeffersonTract 480200Maryland HtsTesson FerrySpanish LkMissouriWildhorseChesterfieldSmith-1.000000x-1.000000x1.661979x1.661979x1.66x2.451%2.45%4.074%4.07%1-1.000000x-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-1.000000x1.168095x1.168095x1.17x15.162%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%35-1.129351x-1.129351x1.13x1.000000x1.000000x14.327%14.3%12.686%12.7%-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%44-1.267529x-1.267529x1.27x1.000000x1.000000x15.919%15.9%12.559%12.6%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x20.588%20.6%0.000%0%
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 Smith Township, selected other county subdivisions in Missouri, and entities that contain the Smith Township
Female
Male
0x5x10xFM#SmithDadeAirportMidlandMissouri RivTract 480200LafayetteOakvilleCullenChesterfieldGravoisJoplinClaytonUnivSt. 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%20.000%20.0%-1.000000x-1.000000x4.418048x4.418048x4.42x0.505%0.51%2.232%2.23%-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-1.000000x2.978747x2.978747x2.98x7.591%7.59%22.613%22.6%3-1.000000x-1.000000x2.946559x2.946559x2.95x0.549%0.55%1.618%1.62%-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 Smith Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Smith 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 Smith Township, selected other county subdivisions in the Midwest, and entities that contain the Smith Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledo480200Tract 480200Blue TownshipCincinnatiAkronDade CountyDadeSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMissouriMaine TownshipMaineTopekaMinneapolisSmith TownshipSmithSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest 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%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.272388%14.272388%14.3%30614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.518960%13.518960%13.5%73813.278342%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%29,34729.3k3010.937500%10.937500%10.9%710.767091%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%9,123349.174633%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 Smith Township, selected other county subdivisions in the Midwest, and entities that contain the Smith Township
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineSmith TownshipSmithFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaMissouriSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarren480200Tract 480200Wayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDade CountyDadeDetroit72.810169%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%38,91838.9k1639.062500%39.062500%39.1%2538.241175%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%15,89315.9k4417.070896%17.070896%17.1%36616.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4914.929474%14.929474%14.9%81513.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Smith Township, selected other county subdivisions in the Midwest, and entities that contain the Smith Township
0%5%10%15%Count#Ann ArborSmith TownshipSmithMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheMissouriCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDade CountyDadeDetroitDaytonWayne TownshipWayne480200Tract 480200WarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.375000%9.375000%9.4%69.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%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%1,300431.355560%1.355560%1.4%741.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.072761%1.072761%1.1%231.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#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 Smith Township, selected other county subdivisions in the Midwest, and entities that contain the Smith Township
Female
Male
10x5x0xFM#Cedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkMissouriAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisDadeSterling HtsDowners GrvMiltonMaineTract 480200Smith-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%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%46-1.129351x-1.129351x1.13x1.000000x1.000000x14.327%14.3%12.686%12.7%-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%50-1.267529x-1.267529x1.27x1.000000x1.000000x15.919%15.9%12.559%12.6%-10.000000x-10.000000x> 10.0x1.000000x1.000000x20.588%20.6%0.000%0%
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 Smith Township, selected other county subdivisions in the Midwest, and entities that contain the Smith Township
Female
Male
0x5x10xFM#SmithDadeTract 480200RockfordNDaytonSioux 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%20.000%20.0%-1.000000x-1.000000x4.418048x4.418048x4.42x0.505%0.51%2.232%2.23%-1.000000x-1.000000x2.946559x2.946559x2.95x0.549%0.55%1.618%1.62%-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 Smith Township to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Smith 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 Smith Township, selected other county subdivisions in the United States, and entities that contain the Smith Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBoston480200Tract 480200SacramentoOrlandoAustinDenverDade CountyDadeUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaMissouriSmith TownshipSmithSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest 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%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2714.272388%14.272388%14.3%30613.900512%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%63,86563.9k3113.518960%13.518960%13.5%73813.020590%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%454,882455k10.937500%10.937500%10.9%710.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%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 Smith Township, selected other county subdivisions in the United States, and entities that contain the Smith Township
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteSmith TownshipSmithTown 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 PasoBronx480200Tract 480200San BernardinoDade CountyDadeSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1239.062500%39.062500%39.1%2538.767308%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%173,169173k4717.070896%17.070896%17.1%36616.375473%16.375473%16.4%80,59580.6k4814.929474%14.929474%14.9%81514.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#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 Smith Township, selected other county subdivisions in the United States, and entities that contain the Smith Township
0%5%10%Count#WashingtonManhattanSmith TownshipSmithSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan 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 DallasBronxDade CountyDadeDetroit480200Tract 48020012.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k29.375000%9.375000%9.4%67.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%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%15,06415.1k491.355560%1.355560%1.4%741.318660%1.318660%1.3%5,693501.072761%1.072761%1.1%23
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 Smith Township, selected other county subdivisions in the United States, and entities that contain the Smith Township
Female
Male
10x5x0xFM#1, CharlotteDetroitBaltimoreTulsaSW 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 JoseDadeSan DiegoSan FranciscoTract 480200El PasoSmith-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%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%47-1.129351x-1.129351x1.13x1.000000x1.000000x14.327%14.3%12.686%12.7%-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%49-1.267529x-1.267529x1.27x1.000000x1.000000x15.919%15.9%12.559%12.6%-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x20.588%20.6%0.000%0%
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 Smith Township, selected other county subdivisions in the United States, and entities that contain the Smith Township
Female
Male
0x5x10xFM#SmithDadeTract 480200El 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%20.000%20.0%-1.000000x-1.000000x4.418048x4.418048x4.42x0.505%0.51%2.232%2.23%-1.000000x-1.000000x2.946559x2.946559x2.95x0.549%0.55%1.618%1.62%-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:
Dade
ZIP Codes:
65682, 65752
Unified School Districts:
Greenfield R-IV, Lockwood R-I
Congressional District:
MO-4
State Senate District:
MO-32
State House District:
MO-127
Neighboring Townships:
Grant, Green, Lincoln, Lockwood, Red Oak, South, Washington
Nearby Townships:
Center, Ernest, Golden City, Lincoln, Marion, Ozark, Pilgrim, Polk, Rock Prairie, Vineyard