Educational Attainment in the Niangua Township, Webster County, Missouri (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Webster County and the Niangua Township
Niangua Township
Webster County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma212.469438%23.685414%12.469438%12.5%10266.748166%62.347757%66.748166%66.7%54620.782396%13.966829%20.782396%20.8%170
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 Webster County at large.
Scope: population of Webster County and the Niangua Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-47.353938%-47.353938%-47.4%12.469%12.5%23.685%23.7%7.057846%7.057846%+7.1%66.748%66.7%62.348%62.3%48.798245%48.798245%+48.8%20.782%20.8%13.967%14.0%
% percentage with given level in the Niangua Township
ref. percentage with given level in Webster 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 Webster County and the Niangua Township
Niangua Township
Webster County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.611247%0.519599%0.611247%0.6%50.244499%0.931122%0.244499%0.2%21.466993%4.680550%1.466993%1.5%124.889976%10.063599%4.889976%4.9%405.256724%7.490543%5.256724%5.3%4326.039120%23.839215%26.039120%26.0%21340.709046%38.508542%40.709046%40.7%33313.814181%8.359313%13.814181%13.8%1136.356968%4.834352%6.356968%6.4%520.611247%0.773164%0.611247%0.6%5
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 Webster County at large.
Scope: population of Webster County and the Niangua Township
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None17.638142%17.638142%+17.6%0.611%0.61%0.520%0.52%-73.741486%-73.741486%-73.7%0.244%0.24%0.931%0.93%-68.657689%-68.657689%-68.7%1.467%1.47%4.681%4.68%-51.409276%-51.409276%-51.4%4.890%4.89%10.064%10.1%-29.821863%-29.821863%-29.8%5.257%5.26%7.491%7.49%9.228092%9.228092%+9.2%26.039%26.0%23.839%23.8%5.714328%5.714328%+5.7%40.709%40.7%38.509%38.5%65.254973%65.254973%+65.3%13.814%13.8%8.359%8.36%31.495773%31.495773%+31.5%6.357%6.36%4.834%4.83%-20.942109%-20.942109%-20.9%0.611%0.61%0.773%0.77%
% percentage with given level in the Niangua Township
ref. percentage with given level in Webster 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 Webster County and the Niangua Township
More Females More Males
Webster County
Niangua Township
40%20%0%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-49.017706%-34.653701%-49.017706%49%14.747%14.7%9.896%9.90%5.033495%7.236424%5.033495%5%65.207%65.2%68.490%68.5%7.824473%20.968020%7.824473%8%20.046%20.0%21.615%21.6%
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 Webster County and the Niangua Township
More Females More Males
Webster County
Niangua Township
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-1,000.000000%-46.955469%-1,000.000000%> 1000%1.152%1.15%0.000%0%-1,000.000000%-1,000.000000%> 1000%152.325485%0.461%0.46%0.000%0%-1,000.000000%-67.685482%-1,000.000000%> 1000%2.765%2.76%0.000%0%-20.619582%24.917763%24.917763%25%4.378%4.38%5.469%5.47%-35.321225%-57.594741%-35.321225%35%5.991%5.99%4.427%4.43%-16.369465%-9.628191%-16.369465%16%27.880%27.9%23.958%24.0%19.299769%18.581796%19.299769%19%37.327%37.3%44.531%44.5%-11.483871%-11.483871%11%10.052811%14.516%14.5%13.021%13.0%80.833333%53.084197%80.833333%81%4.608%4.61%8.333%8.33%-253.917051%-25.684969%-253.917051%254%0.922%0.92%0.260%0.26%
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 Webster County and the Niangua Township
Niangua Township
Webster County
0%5%10%15%B.X.Total65+45-6435-4425-344.583333%6.499069%4.583333%4.6%112404.532578%8.443725%4.532578%4.5%1635311.224490%16.301969%11.224490%11.2%11981.574803%11.636708%1.574803%1.6%2127
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 Webster County at large.
Scope: population of Webster County and the Niangua Township
80%60%40%20%0%%ref.65+45-6435-4425-34-29.477077%-29.477077%29.5%4.583%4.58%6.499%6.50%-46.320164%-46.320164%46.3%4.533%4.53%8.444%8.44%-31.146418%-31.146418%31.1%11.224%11.2%16.302%16.3%-86.466936%-86.466936%86.5%1.575%1.57%11.637%11.6%
% percentage in the Niangua Township with a Bachelor's degree
ref percentage in Webster 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 Webster County and the Niangua Township
More Females More Males
Webster County
Niangua Township
1,000%500%0%FM65+45-6435-4425-34220.489297%14.884508%220.489297%220.5%2.290%2.29%7.339%7.34%-25.809395%13.939394%13.939394%13.9%4.255%4.26%4.848%4.85%-41.333333%-50.900940%-41.333333%41.3%13.333%13.3%9.434%9.43%-1,000.000000%-10.739283%-1,000.000000%> 1000%2.857%2.86%0.000%0%
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 Webster County and the Niangua Township
Niangua Township
Webster County
$0k$10k$20k$30k$40kCount%Graduate Degree1Some CollegeH.S. Diploma2No H.S. Diploma2Total$7,000.000000$46,306.000000$7,000.000000$7.0k192.323%2.32%$31,111.000000$27,961.000000$31,111.000000$31.1k25631.296%31.3%$30,250.000000$29,421.000000$30,250.000000$30.3k33340.709%40.7%$15,500.000000$20,497.000000$15,500.000000$15.5k17020.782%20.8%$26,116.000000$30,356.000000$26,116.000000$26.1k818100.000%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 Webster County and the Niangua Township
Female Male
Webster County
Niangua Township
Shaded bar tips show excess over facing bar.
$20k$0k$20kFMSome CollegeH.S. Diploma2No H.S. Diploma2Total$-22,411.000000$-21,818.000000$-22,411.000000$22.4k$22,411.000000$14,427.000000$21,818.000000$15,104.000000$36,838.000000$36.8k147109$-20,000.000000$-20,043.000000$-20,000.000000$20.0k$20,000.000000$16,125.000000$20,043.000000$15,116.000000$36,125.000000$36.1k162171$-11,000.000000$-6,500.000000$-11,458.000000$-17,500.000000$17.5k$11,000.000000$11,458.000000$9,874.000000$11,000.000000$11.0k8783$-20,893.000000$-24,244.000000$-20,893.000000$20.9k$20,893.000000$14,512.000000$24,244.000000$12,115.000000$35,405.000000$35.4k434384
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

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Webster County and the Niangua Township
Niangua Township
Webster County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%90.909091%00.000000%0.000000%0.000000%0.0%0100.000000%9.090909%100.000000%100.0%10.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Webster County and the Niangua Township
Niangua Township
Webster County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma373.529412%81.855867%73.529412%73.5%2577.664975%67.124369%77.664975%77.7%15360.169492%62.862109%60.169492%60.2%14250.450450%40.545219%50.450450%50.5%56
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#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Webster County and the Niangua Township
Female Male
Webster County
Niangua Township
Shaded bar tips show excess over facing bar.
50%0%50%MFWhite1Hispanic2Other1-16.911765%-12.123572%-16.911765%16.9%16.911765%1.803319%12.123572%2.737734%18.715084%18.7%6769-69.565217%-22.101449%-23.497268%-26.502732%-91.666667%91.7%69.565217%23.497268%69.565217%69.6%1611-68.000000%-23.214286%-12.385714%-68.000000%68.0%68.000000%14.352941%23.214286%82.352941%82.4%1417
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Webster County and the Niangua Township
Female Male
Webster County
Niangua Township
Shaded bar tips show excess over facing bar.
20%15%10%5%0%5%10%MFWhite1Hispanic2Other1-5.865922%-3.447804%-14.510183%-3.316055%-9.313725%9.3%5.865922%14.510183%5.865922%5.9%2138-0.000000%-7.000000%0.000000%0.0%0.000000%0.000000%7.000000%3.928962%0.000000%0.0%00-0.000000%-11.607143%-8.392857%0.000000%0.0%0.000000%0.000000%11.607143%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Springfield Area

There are 114 county subdivisions in the Springfield Area. This section compares the Niangua Township to the 50 most populous county subdivisions in the Springfield Area and to those entities that contain or substantially overlap with the Niangua Township. The least populous of the compared county subdivisions has a population of 2,361.

No H.S. Diploma by County Subdivision#16

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Niangua Township, selected other county subdivisions in the Springfield Area, and entities that contain the Niangua Township
0%10%20%30%Count#Diggins TownshipDigginsHazelwood TownshipHazelwoodNorth Benton TownshipN BentonNiangua TownshipNianguaJackson TownshipJacksonNortheast Marion TownshipNE Marion470101Tract 470101West Finley TownshipW FinleyWebster CountyWebsterSparta TownshipSpartaGarden Grove TownshipGdn GrvNorth Campbell No. 3A TownshipN Campbell No. 3AUnited States of AmericaUnited StatesJackson No. 2 TownshipJackson No. 2North Galloway TownshipN GallowayMooney TownshipMooneyMissouriSpringfield TownshipSpringfieldGrant TownshipGrantRiverside TownshipRiversideEast Polk TownshipE PolkMarshfield TownshipMarshfieldMidwestSpringfield Metro AreaSpringfieldWest North CentralSoutheast Marion TownshipSE MarionMurray TownshipMurraySouthwest Marion TownshipSW MarionRobberson No. 2 TownshipRobberson No. 2Benton TownshipBentonEast Ozark TownshipE OzarkEast Finley TownshipE FinleyJackson No. 1 TownshipJackson No. 1Northwest Marion TownshipNW MarionNorthview TownshipNorthviewLincoln TownshipLincolnUnion Chapel TownshipUnion ChapelEast Republic TownshipE RepublicRepublic North TownshipRepublic NCampbell No. 2C TownshipCampbell No. 2CCassidy TownshipCassidyCampbell No. 2A TownshipCampbell No. 2ARosedale TownshipRosedaleSouth Galloway TownshipS GallowayWilson A TownshipWilson AWest Republic TownshipW RepublicBattlefield B TownshipBattlefield BWashington TownshipWashingtonCampbell No. 2B TownshipCampbell No. 2BNorth Campbell No. 2 TownshipN Campbell No. 2Center No. 1 TownshipCtr No. 1Battlefield A TownshipBattlefield ACherokee TownshipCherokeeFranklin No. 2 TownshipFranklin No. 2Campbell No. 1 TownshipCampbell No. 1Wilson C TownshipWilson CClay C TownshipClay CWilson CW TownshipWilson CW31.103286%31.103286%31.1%530126.510721%26.510721%26.5%408220.923580%20.923580%20.9%512320.782396%20.782396%20.8%17019.234857%19.234857%19.2%362417.656766%17.656766%17.7%535515.437286%15.437286%15.4%49613.976441%13.976441%14.0%439613.966829%13.966829%14.0%3,36013.526570%13.526570%13.5%252713.370474%13.370474%13.4%288813.370333%13.370333%13.4%265913.020590%13.020590%13.0%27,818,38027.8M11.947514%11.947514%11.9%3461011.244980%11.244980%11.2%2801111.225928%11.225928%11.2%2391211.167196%11.167196%11.2%454,882455k10.767091%10.767091%10.8%11,14911.1k1310.576923%10.576923%10.6%1981410.528532%10.528532%10.5%5001510.494572%10.494572%10.5%1741610.465116%10.465116%10.5%4951710.244520%10.244520%10.2%4,641,8354.64M9.932585%9.932585%9.9%29,30529.3k9.174633%9.174633%9.2%1,278,0511.28M9.107223%9.107223%9.1%203189.081058%9.081058%9.1%419198.862087%8.862087%8.9%169208.807669%8.807669%8.8%147218.805031%8.805031%8.8%294228.583490%8.583490%8.6%183238.489761%8.489761%8.5%398248.464656%8.464656%8.5%188258.220339%8.220339%8.2%194268.110317%8.110317%8.1%397277.972933%7.972933%8.0%271287.648862%7.648862%7.6%474297.463186%7.463186%7.5%223307.237132%7.237132%7.2%329317.091809%7.091809%7.1%129326.848185%6.848185%6.8%332336.359649%6.359649%6.4%319346.081891%6.081891%6.1%355356.015524%6.015524%6.0%93365.588553%5.588553%5.6%207375.541012%5.541012%5.5%127385.500331%5.500331%5.5%166395.207373%5.207373%5.2%113405.066404%5.066404%5.1%103414.772234%4.772234%4.8%110424.625056%4.625056%4.6%103434.107143%4.107143%4.1%161443.040734%3.040734%3.0%106452.836538%2.836538%2.8%59462.652653%2.652653%2.7%53472.415842%2.415842%2.4%61481.470048%1.470048%1.5%40491.304654%1.304654%1.3%3750
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#17

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Niangua Township, selected other county subdivisions in the Springfield Area, and entities that contain the Niangua Township
0%20%40%60%Count#Clay C TownshipClay CCampbell No. 1 TownshipCampbell No. 1Wilson CW TownshipWilson CWWilson C TownshipWilson CCherokee TownshipCherokeeBattlefield B TownshipBattlefield BBattlefield A TownshipBattlefield ANorth Campbell No. 2 TownshipN Campbell No. 2Cassidy TownshipCassidyWilson A TownshipWilson ASouth Galloway TownshipS GallowayNorthview TownshipNorthviewCampbell No. 2B TownshipCampbell No. 2BFranklin No. 2 TownshipFranklin No. 2Robberson No. 2 TownshipRobberson No. 2Northeast Marion TownshipNE MarionWashington TownshipWashingtonUnited States of AmericaUnited StatesEast Republic TownshipE RepublicWest North CentralRiverside TownshipRiversideNorth Campbell No. 3A TownshipN Campbell No. 3ACampbell No. 2C TownshipCampbell No. 2CMidwestLincoln TownshipLincolnMurray TownshipMurrayMissouriNorth Galloway TownshipN GallowaySpringfield TownshipSpringfieldSpringfield Metro AreaSpringfieldSoutheast Marion TownshipSE MarionCampbell No. 2A TownshipCampbell No. 2AGarden Grove TownshipGdn GrvEast Polk TownshipE PolkUnion Chapel TownshipUnion ChapelBenton TownshipBentonJackson No. 2 TownshipJackson No. 2Northwest Marion TownshipNW MarionEast Finley TownshipE FinleyRosedale TownshipRosedaleCenter No. 1 TownshipCtr No. 1West Republic TownshipW RepublicJackson TownshipJacksonGrant TownshipGrantSparta TownshipSpartaSouthwest Marion TownshipSW MarionEast Ozark TownshipE OzarkJackson No. 1 TownshipJackson No. 1Mooney TownshipMooneyRepublic North TownshipRepublic NHazelwood TownshipHazelwoodMarshfield TownshipMarshfieldWest Finley TownshipW FinleyWebster CountyWebster470101Tract 470101North Benton TownshipN BentonDiggins TownshipDigginsNiangua TownshipNiangua66.372657%66.372657%66.4%1,806158.908909%58.908909%58.9%1,177255.183357%55.183357%55.2%1,565353.346535%53.346535%53.3%1,347447.532989%47.532989%47.5%1,657543.240557%43.240557%43.2%1,305642.576531%42.576531%42.6%1,669741.214751%41.214751%41.2%950836.592409%36.592409%36.6%1,774935.853132%35.853132%35.9%1,3281035.252264%35.252264%35.3%5451135.035751%35.035751%35.0%1,7151234.874570%34.874570%34.9%7091334.326923%34.326923%34.3%7141431.695626%31.695626%31.7%5291531.617162%31.617162%31.6%9581631.474654%31.474654%31.5%6831730.315023%30.315023%30.3%64,767,78764.8M30.254351%30.254351%30.3%9041830.056536%30.056536%30.1%4,186,9564.19M29.669404%29.669404%29.7%1,4091929.667003%29.667003%29.7%5882029.081913%29.081913%29.1%5292128.952816%28.952816%29.0%13,118,64213.1M28.214181%28.214181%28.2%9592227.980061%27.980061%28.0%1,2912327.634687%27.634687%27.6%1,125,6651.13M27.028112%27.028112%27.0%6732426.964567%26.964567%27.0%27,92127.9k2526.805948%26.805948%26.8%79,08879.1k26.783311%26.783311%26.8%5972626.674641%26.674641%26.7%1,3382726.230269%26.230269%26.2%5652826.115802%26.115802%26.1%4332925.948039%25.948039%25.9%1,6083024.498353%24.498353%24.5%8183124.067680%24.067680%24.1%6973223.728814%23.728814%23.7%5603323.634812%23.634812%23.6%1,1083423.248244%23.248244%23.2%1,3573522.900763%22.900763%22.9%5103622.120419%22.120419%22.1%5073722.051010%22.051010%22.1%4153821.153846%21.153846%21.2%3963920.987654%20.987654%21.0%3914020.975354%20.975354%21.0%4004119.277674%19.277674%19.3%4114218.640252%18.640252%18.6%4144318.224519%18.224519%18.2%3884417.377915%17.377915%17.4%7904516.764133%16.764133%16.8%2584616.279070%16.279070%16.3%7704716.236867%16.236867%16.2%5104816.194871%16.194871%16.2%3,89614.005602%14.005602%14.0%45012.668574%12.668574%12.7%310499.213615%9.213615%9.2%157507.212714%7.212714%7.2%59
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#18

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 Niangua Township, selected other county subdivisions in the Springfield Area, and entities that contain the Niangua Township
0%5%10%15%Count#Clay C TownshipClay CWilson C TownshipWilson CRobberson No. 2 TownshipRobberson No. 2Campbell No. 1 TownshipCampbell No. 1Battlefield B TownshipBattlefield BCherokee TownshipCherokeeCassidy TownshipCassidyWashington TownshipWashingtonNorthview TownshipNorthviewWilson CW TownshipWilson CWUnited States of AmericaUnited StatesBenton TownshipBentonBattlefield A TownshipBattlefield ANorth Campbell No. 2 TownshipN Campbell No. 2Franklin No. 2 TownshipFranklin No. 2West North CentralSpringfield TownshipSpringfieldMidwestMissouriSoutheast Marion TownshipSE MarionNortheast Marion TownshipNE MarionSpringfield Metro AreaSpringfieldRiverside TownshipRiversideCampbell No. 2C TownshipCampbell No. 2CUnion Chapel TownshipUnion ChapelNorthwest Marion TownshipNW MarionLincoln TownshipLincolnCampbell No. 2B TownshipCampbell No. 2BCenter No. 1 TownshipCtr No. 1South Galloway TownshipS GallowayEast Republic TownshipE RepublicEast Ozark TownshipE OzarkMarshfield TownshipMarshfieldRosedale TownshipRosedaleEast Finley TownshipE FinleyGarden Grove TownshipGdn GrvGrant TownshipGrantNorth Galloway TownshipN GallowayJackson No. 1 TownshipJackson No. 1Webster CountyWebsterWest Finley TownshipW FinleyCampbell No. 2A TownshipCampbell No. 2AMurray TownshipMurrayWilson A TownshipWilson ASouthwest Marion TownshipSW MarionEast Polk TownshipE PolkWest Republic TownshipW RepublicNiangua TownshipNianguaNorth Campbell No. 3A TownshipN Campbell No. 3ASparta TownshipSpartaJackson No. 2 TownshipJackson No. 2470101Tract 470101Mooney TownshipMooneyDiggins TownshipDigginsHazelwood TownshipHazelwoodRepublic North TownshipRepublic NNorth Benton TownshipN BentonJackson TownshipJackson15.766262%15.766262%15.8%429111.485149%11.485149%11.5%29026.470941%6.470941%6.5%10836.006006%6.006006%6.0%12045.003313%5.003313%5.0%15154.790591%4.790591%4.8%16764.269802%4.269802%4.3%20774.193548%4.193548%4.2%9183.718080%3.718080%3.7%18293.702398%3.702398%3.7%105103.336158%3.336158%3.3%7,127,6737.13M3.294400%3.294400%3.3%110113.112245%3.112245%3.1%122123.036876%3.036876%3.0%70132.980769%2.980769%3.0%62142.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015152.893416%2.893416%2.9%1,311,0191.31M2.822400%2.822400%2.8%114,967115k2.736653%2.736653%2.7%61162.706271%2.706271%2.7%82172.625755%2.625755%2.6%7,7472.590019%2.590019%2.6%123182.473887%2.473887%2.5%45192.420526%2.420526%2.4%150202.372881%2.372881%2.4%56212.147690%2.147690%2.1%73222.065912%2.065912%2.1%42232.065559%2.065559%2.1%46242.005175%2.005175%2.0%31251.941098%1.941098%1.9%58261.923077%1.923077%1.9%41271.881607%1.881607%1.9%89281.833133%1.833133%1.8%107291.770478%1.770478%1.8%83301.764160%1.764160%1.8%38311.762821%1.762821%1.8%33321.526104%1.526104%1.5%38331.485817%1.485817%1.5%33341.450721%1.450721%1.5%3491.432665%1.432665%1.4%45351.395534%1.395534%1.4%70361.278717%1.278717%1.3%59371.187905%1.187905%1.2%44381.101206%1.101206%1.1%21390.965018%0.965018%1.0%16400.959860%0.959860%1.0%22410.855746%0.855746%0.9%70.706357%0.706357%0.7%14420.697799%0.697799%0.7%13430.656077%0.656077%0.7%19440.653595%0.653595%0.7%210.610615%0.610615%0.6%13450.469484%0.469484%0.5%8460.389864%0.389864%0.4%6470.263968%0.263968%0.3%12480.000000%0.000000%0.0%0490.000000%0.000000%0.0%050
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#19

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 Niangua Township, selected other county subdivisions in the Springfield Area, and entities that contain the Niangua Township
Female
Male
5x0x5x10xFM#Franklin No. 2RosedaleMooneyUnion ChapelRobberson No. 2W FinleyNorthviewE FinleyBentonHazelwoodJackson No. 1E RepublicNW MarionE PolkGdn GrvNE MarionMurrayJacksonWebsterSE MarionGrantN GallowayN BentonWest North CentralMidwestSpringfieldUnited StatesMissouriNianguaTract 470101SpringfieldSW MarionClay CCassidyWilson CRiversideW RepublicRepublic NMarshfieldDigginsJackson No. 2LincolnE OzarkBattlefield ASpartaCampbell No. 2AWilson AWilson CWBattlefield BCampbell No. 1Campbell No. 2BCtr No. 1CherokeeN Campbell No. 3ACampbell No. 2CS GallowayN Campbell No. 2Washington-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.101%6.10%1-1.000000x-1.000000x3.033027x3.033027x3.03x3.154%3.15%9.565%9.56%2-1.000000x-1.000000x2.780852x2.780852x2.78x6.082%6.08%16.914%16.9%3-1.000000x-1.000000x2.760417x2.760417x2.76x4.047%4.05%11.171%11.2%4-1.000000x-1.000000x2.503729x2.503729x2.50x4.849%4.85%12.141%12.1%5-1.000000x-1.000000x2.239075x2.239075x2.24x8.744%8.74%19.578%19.6%6-1.000000x-1.000000x1.837697x1.837697x1.84x5.913%5.91%10.866%10.9%7-1.000000x-1.000000x1.834887x1.834887x1.83x6.083%6.08%11.161%11.2%8-1.000000x-1.000000x1.766172x1.766172x1.77x6.440%6.44%11.375%11.4%9-1.000000x-1.000000x1.740896x1.740896x1.74x19.708%19.7%34.310%34.3%10-1.000000x-1.000000x1.618985x1.618985x1.62x6.365%6.36%10.304%10.3%11-1.000000x-1.000000x1.563649x1.563649x1.56x5.919%5.92%9.255%9.26%12-1.000000x-1.000000x1.533778x1.533778x1.53x6.466%6.47%9.917%9.92%13-1.000000x-1.000000x1.496680x1.496680x1.50x8.513%8.51%12.741%12.7%14-1.000000x-1.000000x1.453582x1.453582x1.45x11.024%11.0%16.024%16.0%15-1.000000x-1.000000x1.410951x1.410951x1.41x14.763%14.8%20.830%20.8%16-1.000000x-1.000000x1.311902x1.311902x1.31x7.937%7.94%10.413%10.4%17-1.000000x-1.000000x1.257242x1.257242x1.26x16.930%16.9%21.285%21.3%18-1.000000x-1.000000x1.209680x1.209680x1.21x12.634%12.6%15.283%15.3%-1.000000x-1.000000x1.205440x1.205440x1.21x8.259%8.26%9.955%9.96%19-1.000000x-1.000000x1.162126x1.162126x1.16x9.802%9.80%11.391%11.4%20-1.000000x-1.000000x1.159685x1.159685x1.16x10.427%10.4%12.092%12.1%21-1.000000x-1.000000x1.152236x1.152236x1.15x19.471%19.5%22.435%22.4%22-1.000000x-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-1.000000x1.124459x1.124459x1.12x9.371%9.37%10.537%10.5%-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.087272x1.087272x1.09x10.718%10.7%11.653%11.7%-1.000000x-1.000000x1.078245x1.078245x1.08x20.046%20.0%21.615%21.6%-1.000000x-1.000000x1.037413x1.037413x1.04x15.159%15.2%15.726%15.7%-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%23-1.000000x-1.000000x1.020296x1.020296x1.02x8.776%8.78%8.954%8.95%24-1.000000x-1.000000x1.018564x1.018564x1.02x1.457%1.46%1.484%1.48%25-1.011543x-1.011543x1.01x1.000000x1.000000x6.885%6.88%6.806%6.81%26-1.016040x-1.016040x1.02x1.000000x1.000000x2.434%2.43%2.395%2.40%27-1.043939x-1.043939x1.04x1.000000x1.000000x10.732%10.7%10.280%10.3%28-1.078076x-1.078076x1.08x1.000000x1.000000x5.752%5.75%5.336%5.34%29-1.080408x-1.080408x1.08x1.000000x1.000000x7.504%7.50%6.946%6.95%30-1.109989x-1.109989x1.11x1.000000x1.000000x11.016%11.0%9.925%9.92%31-1.134949x-1.134949x1.13x1.000000x1.000000x33.915%33.9%29.882%29.9%32-1.151371x-1.151371x1.15x1.000000x1.000000x12.737%12.7%11.062%11.1%33-1.180570x-1.180570x1.18x1.000000x1.000000x8.616%8.62%7.298%7.30%34-1.183202x-1.183202x1.18x1.000000x1.000000x9.271%9.27%7.835%7.84%35-1.253457x-1.253457x1.25x1.000000x1.000000x4.566%4.57%3.643%3.64%36-1.296447x-1.296447x1.30x1.000000x1.000000x15.293%15.3%11.796%11.8%37-1.366040x-1.366040x1.37x1.000000x1.000000x7.228%7.23%5.291%5.29%38-1.417945x-1.417945x1.42x1.000000x1.000000x6.514%6.51%4.594%4.59%39-1.498844x-1.498844x1.50x1.000000x1.000000x1.551%1.55%1.035%1.03%40-1.706819x-1.706819x1.71x1.000000x1.000000x6.906%6.91%4.046%4.05%41-1.748660x-1.748660x1.75x1.000000x1.000000x3.402%3.40%1.946%1.95%42-1.859658x-1.859658x1.86x1.000000x1.000000x6.420%6.42%3.452%3.45%43-2.199689x-2.199689x2.20x1.000000x1.000000x6.187%6.19%2.813%2.81%44-2.430804x-2.430804x2.43x1.000000x1.000000x4.272%4.27%1.757%1.76%45-2.479931x-2.479931x2.48x1.000000x1.000000x18.672%18.7%7.529%7.53%46-2.893454x-2.893454x2.89x1.000000x1.000000x10.839%10.8%3.746%3.75%47-3.325155x-3.325155x3.33x1.000000x1.000000x9.023%9.02%2.714%2.71%48-4.606327x-4.606327x4.61x1.000000x1.000000x7.276%7.28%1.579%1.58%49-7.138155x-7.138155x7.14x1.000000x1.000000x9.450%9.45%1.324%1.32%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#20

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 Niangua Township, selected other county subdivisions in the Springfield Area, and entities that contain the Niangua Township
Female
Male
10x5x0x5x10xFM#Republic NBattlefield ASW MarionJackson No. 1SE MarionN Campbell No. 3ADigginsGrantSpartaE PolkCampbell No. 2CS GallowayE OzarkNW MarionCherokeeN Campbell No. 2CassidyBattlefield BJackson No. 2BentonCampbell No. 2AW FinleyCtr No. 1Clay CCampbell No. 1Gdn GrvW RepublicTract 470101SpringfieldSpringfieldMidwestMissouriN GallowayWest North CentralWebsterUnited StatesE FinleyNE MarionLincolnWashingtonUnion ChapelFranklin No. 2RiversideNorthviewRobberson No. 2Wilson CWilson ARosedaleWilson CWCampbell No. 2BMarshfieldE RepublicMurrayMooneyNianguaHazelwood-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.552%0.55%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.260%6.26%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.265%2.27%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.787%2.79%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.471%5.47%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.485%1.48%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.673%0.67%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.614%3.61%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.382%1.38%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.059%2.06%10-1.000000x-1.000000x5.803330x5.803330x5.80x0.699%0.70%4.058%4.06%11-1.000000x-1.000000x5.708005x5.708005x5.71x0.618%0.62%3.528%3.53%12-1.000000x-1.000000x5.285295x5.285295x5.29x0.630%0.63%3.330%3.33%13-1.000000x-1.000000x5.048148x5.048148x5.05x0.776%0.78%3.917%3.92%14-1.000000x-1.000000x4.759285x4.759285x4.76x1.686%1.69%8.026%8.03%15-1.000000x-1.000000x4.676538x4.676538x4.68x1.161%1.16%5.429%5.43%16-1.000000x-1.000000x3.631673x3.631673x3.63x1.923%1.92%6.984%6.98%17-1.000000x-1.000000x3.430498x3.430498x3.43x2.280%2.28%7.822%7.82%18-1.000000x-1.000000x3.140513x3.140513x3.14x0.327%0.33%1.026%1.03%19-1.000000x-1.000000x2.769778x2.769778x2.77x1.783%1.78%4.938%4.94%20-1.000000x-1.000000x2.684345x2.684345x2.68x0.795%0.80%2.134%2.13%21-1.000000x-1.000000x2.635160x2.635160x2.64x0.800%0.80%2.109%2.11%22-1.000000x-1.000000x2.397414x2.397414x2.40x1.254%1.25%3.007%3.01%23-1.000000x-1.000000x2.228109x2.228109x2.23x9.993%9.99%22.266%22.3%24-1.000000x-1.000000x2.201686x2.201686x2.20x3.711%3.71%8.171%8.17%25-1.000000x-1.000000x2.174161x2.174161x2.17x1.137%1.14%2.473%2.47%26-1.000000x-1.000000x2.083846x2.083846x2.08x0.619%0.62%1.291%1.29%27-1.000000x-1.000000x2.074826x2.074826x2.07x0.428%0.43%0.888%0.89%-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%28-1.000000x-1.000000x1.705184x1.705184x1.71x1.960%1.96%3.342%3.34%-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-1.000000x1.585948x1.585948x1.59x1.185%1.18%1.879%1.88%29-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.527886x1.527886x1.53x1.146%1.15%1.751%1.75%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522026x1.522026x1.52x1.419%1.42%2.160%2.16%30-1.000000x-1.000000x1.401576x1.401576x1.40x2.271%2.27%3.183%3.18%31-1.000000x-1.000000x1.272800x1.272800x1.27x1.895%1.90%2.413%2.41%32-1.000000x-1.000000x1.220359x1.220359x1.22x3.761%3.76%4.590%4.59%33-1.000000x-1.000000x1.179324x1.179324x1.18x2.219%2.22%2.617%2.62%34-1.000000x-1.000000x1.150982x1.150982x1.15x2.785%2.79%3.206%3.21%35-1.000000x-1.000000x1.087865x1.087865x1.09x2.491%2.49%2.710%2.71%36-1.000000x-1.000000x1.028020x1.028020x1.03x3.672%3.67%3.775%3.78%37-1.023636x-1.023636x1.02x1.000000x1.000000x6.553%6.55%6.402%6.40%38-1.238808x-1.238808x1.24x1.000000x1.000000x12.611%12.6%10.180%10.2%39-1.343582x-1.343582x1.34x1.000000x1.000000x1.355%1.35%1.008%1.01%40-1.465913x-1.465913x1.47x1.000000x1.000000x2.144%2.14%1.463%1.46%41-1.990560x-1.990560x1.99x1.000000x1.000000x4.855%4.86%2.439%2.44%42-2.095389x-2.095389x2.10x1.000000x1.000000x2.712%2.71%1.294%1.29%43-2.109603x-2.109603x2.11x1.000000x1.000000x2.562%2.56%1.214%1.21%44-3.303115x-3.303115x3.30x1.000000x1.000000x2.866%2.87%0.868%0.87%45-4.772137x-4.772137x4.77x1.000000x1.000000x2.015%2.01%0.422%0.42%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.073%1.07%0.099%0.10%47-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.613%1.61%0.000%0%-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.730%0.73%0.000%0%48
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 48 by male-to-female sex ratio

Educational Attainment by County Subdivision in Missouri

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

No H.S. Diploma by County Subdivision#21

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Niangua Township, selected other county subdivisions in Missouri, and entities that contain the Niangua Township
0%5%10%15%20%Count#Niangua TownshipNianguaSt. Francois TownshipSt. FrancoisNormandy TownshipNormandySt. Louis470101Tract 470101Norwood TownshipNorwoodAirport TownshipAirportBlue TownshipLemay TownshipLemayMidland TownshipMidlandWebster CountyWebsterWashington TownshipWashingtonSt. Ferdinand TownshipSt. FerdinandUnited States of AmericaUnited StatesKaw TownshipRock TownshipMissouriSpringfield TownshipSpringfieldWashington TownshipWashingtonUniversity TownshipUnivFlorissant TownshipFlorissantMidwestJoplin TownshipJoplinBrooking TownshipBrookingSpringfield Metro AreaSpringfieldFerguson 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 TownshipChesterfield20.782396%20.782396%20.8%17016.564192%16.564192%16.6%3,610115.494437%15.494437%15.5%3,245215.466266%15.466266%15.5%33,80433.8k315.437286%15.437286%15.4%49614.895461%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%3,275813.966829%13.966829%14.0%3,36013.448887%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%5,128189.932585%9.932585%9.9%29,30529.3k9.870005%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#22

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Niangua Township, selected other county subdivisions in Missouri, and entities that contain the Niangua 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 TownshipSpringfieldSpringfield Metro AreaSpringfieldFlorissant TownshipFlorissantRock TownshipJoplin TownshipJoplinLemay TownshipLemayFerguson TownshipFergusonWashington TownshipWashingtonWashington TownshipWashingtonBrooking TownshipBrookingAirport TownshipAirportNormandy TownshipNormandyMidland TownshipMidlandSt. Francois TownshipSt. FrancoisWebster CountyWebsterBlue TownshipSt. Ferdinand TownshipSt. Ferdinand470101Tract 470101Norwood TownshipNorwoodNiangua TownshipNiangua71.743062%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%27,92127.9k3526.805948%26.805948%26.8%79,08879.1k26.084002%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%3,5584716.194871%16.194871%16.2%3,89615.821208%15.821208%15.8%16,95117.0k4814.080741%14.080741%14.1%2,7384914.005602%14.005602%14.0%45012.335543%12.335543%12.3%2,419507.212714%7.212714%7.2%59
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#23

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 Niangua Township, selected other county subdivisions in Missouri, and entities that contain the Niangua 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 TownshipGravoisMeramec TownshipMeramecCape Girardeau TownshipCape GirardeauTesson Ferry TownshipTesson FerryUnited States of AmericaUnited StatesJefferson TownshipJeffersonWest North CentralSpringfield TownshipSpringfieldMidwestMissouriSpringfield Metro AreaSpringfieldGallatin 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 TownshipWentzvilleWebster CountyWebsterFerguson TownshipFergusonCullen TownshipCullenFlorissant TownshipFlorissantJoplin TownshipJoplinNormandy TownshipNormandyAirport TownshipAirportWashington TownshipWashingtonBlue TownshipMidland TownshipMidlandNiangua TownshipNianguaSt. Ferdinand TownshipSt. FerdinandLemay TownshipLemayNorwood TownshipNorwood470101Tract 47010115.361170%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%1,048183.739195%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%114,967115k2.625755%2.625755%2.6%7,7472.500103%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%425381.450721%1.450721%1.5%3491.444391%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%230431.052496%1.052496%1.1%246441.018621%1.018621%1.0%477450.997751%0.997751%1.0%1,069460.919944%0.919944%0.9%215470.855746%0.855746%0.9%70.791977%0.791977%0.8%154480.700335%0.700335%0.7%180490.662927%0.662927%0.7%130500.653595%0.653595%0.7%21
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#24

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 Niangua Township, selected other county subdivisions in Missouri, and entities that contain the Niangua Township
Female
Male
3x2x1x0x1xFM#ClaytonLafayetteNorwoodFlorissantCullenJeffersonJoplinGravoisBrookingWentzvilleWebsterFergusonMidlandLewis and ClarkSt. FrancoisBlue TownshipWashingtonWest North CentralWashingtonMidwestSpringfieldKaw TownshipUnited StatesRock TownshipMissouriGallatinNianguaAirportNormandyTract 470101LibertySpringfieldSni-A-BarSt. LouisUnivBonhommeBoonePrairieOakvilleNWSt. FerdinandChouteauCape GirardeauCreve CoeurMeramecConcordColumbiaQueenyLemayHadleyMissouri RivJeffersonMaryland HtsTesson FerrySpanish LkMissouriWildhorseChesterfield-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-1.000000x1.209680x1.209680x1.21x12.634%12.6%15.283%15.3%-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-1.000000x1.124459x1.124459x1.12x9.371%9.37%10.537%10.5%-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-1.000000x1.078245x1.078245x1.08x20.046%20.0%21.615%21.6%-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-1.000000x1.037413x1.037413x1.04x15.159%15.2%15.726%15.7%-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#25

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 Niangua Township, selected other county subdivisions in Missouri, and entities that contain the Niangua Township
Female
Male
10x5x0xFM#AirportMidlandMissouri RivLafayetteOakvilleCullenChesterfieldGravoisJoplinClaytonTract 470101UnivSt. FrancoisMeramecConcordCreve CoeurBonhommeBlue TownshipNormandySpringfieldTesson FerrySpringfieldWashingtonPrairieBrookingChouteauJeffersonSt. FerdinandColumbiaNWMidwestMissouriWest North CentralLibertyMissouriCape GirardeauWebsterUnited StatesHadleyJeffersonRock TownshipQueenyKaw TownshipMaryland HtsSt. LouisGallatinSpanish LkSni-A-BarWildhorseWentzvilleLemayWashingtonFlorissantBooneLewis and ClarkNorwoodFergusonNiangua-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-1.000000x2.891573x2.891573x2.89x3.534%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-1.000000x2.074826x2.074826x2.07x0.428%0.43%0.888%0.89%-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-1.000000x1.705184x1.705184x1.71x1.960%1.96%3.342%3.34%-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-1.000000x1.527886x1.527886x1.53x1.146%1.15%1.751%1.75%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.613%1.61%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

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#26

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Niangua Township, selected other county subdivisions in the Midwest, and entities that contain the Niangua Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitNiangua TownshipNianguaMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. Louis470101Tract 470101WarrenGrand RapidsToledoBlue TownshipWebster CountyWebsterCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMissouriMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSpringfield Metro AreaSpringfieldSioux 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%90,67890.7k620.782396%20.782396%20.8%17017.485105%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%33,80433.8k1315.437286%15.437286%15.4%49615.286174%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%15,25815.3k1713.966829%13.966829%14.0%3,36013.761583%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%8,161339.932585%9.932585%9.9%29,30529.3k9.702326%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#27

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Niangua Township, selected other county subdivisions in the Midwest, and entities that contain the Niangua 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 TownshipSpringfieldSpringfield Metro AreaSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneWebster CountyWebsterKansas CityClevelandAurora TownshipAuroraBlue Township470101Tract 470101DetroitNiangua TownshipNiangua72.810169%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%27,92127.9k3326.805948%26.805948%26.8%79,08879.1k26.237989%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%14,78814.8k4516.194871%16.194871%16.2%3,89616.167409%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%16,95117.0k4914.005602%14.005602%14.0%45013.833543%13.833543%13.8%59,72359.7k507.212714%7.212714%7.2%59
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#28

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 Niangua Township, selected other county subdivisions in the Midwest, and entities that contain the Niangua Township
0%5%10%15%Count#Ann ArborMadisonDowners 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 FallsOlatheMissouriSpringfield Metro AreaSpringfieldCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNWebster CountyWebsterSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonNiangua TownshipNiangua470101Tract 47010117.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%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%114,967115k2.625755%2.625755%2.6%7,7472.602914%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%1,606411.450721%1.450721%1.5%3491.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.855746%0.855746%0.9%70.653595%0.653595%0.7%21
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#29

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 Niangua Township, selected other county subdivisions in the Midwest, and entities that contain the Niangua Township
Female
Male
1x0x1xFM#Cedar RapidsLincolnDetroitOmahaToledoWebsterThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaSpringfieldMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkMissouriAuroraWheelingGrand RapidsNianguaSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalTract 470101WarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-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-1.000000x1.209680x1.209680x1.21x12.634%12.6%15.283%15.3%-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-1.000000x1.124459x1.124459x1.12x9.371%9.37%10.537%10.5%-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-1.000000x1.078245x1.078245x1.08x20.046%20.0%21.615%21.6%-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-1.000000x1.037413x1.037413x1.04x15.159%15.2%15.726%15.7%-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#30

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 Niangua Township, selected other county subdivisions in the Midwest, and entities that contain the Niangua Township
Female
Male
10x5x0xFM#RockfordNTract 470101DaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkSpringfieldMiltonGrand RapidsOlatheOmahaFargoWashingtonLincolnMidwestMissouriBloomingdaleWest North CentralKansas CityAuroraWebsterUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThorntonNiangua-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-1.000000x2.074826x2.074826x2.07x0.428%0.43%0.888%0.89%-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-1.000000x1.705184x1.705184x1.71x1.960%1.96%3.342%3.34%-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-1.000000x1.527886x1.527886x1.53x1.146%1.15%1.751%1.75%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.613%1.61%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

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#31

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Niangua Township, selected other county subdivisions in the United States, and entities that contain the Niangua Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasNiangua TownshipNianguaEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las Vegas470101Tract 470101PhoenixBostonWebster CountyWebsterSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaMissouriSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonSpringfield Metro AreaSpringfieldAtlantaWest 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%207,494207k1220.782396%20.782396%20.8%17020.461493%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%198,651199k2515.437286%15.437286%15.4%49614.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.966829%13.966829%14.0%3,36013.900512%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%46,51046.5k459.932585%9.932585%9.9%29,30529.3k9.538552%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#32

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Niangua Township, selected other county subdivisions in the United States, and entities that contain the Niangua 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 VlySpringfield Metro AreaSpringfieldOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoWebster CountyWebsterSan Antonio CentralSan Antonio Cntrl470101Tract 470101DetroitNiangua TownshipNiangua60.434640%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%170,682171k3726.805948%26.805948%26.8%79,08879.1k26.758411%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%80,59580.6k4816.194871%16.194871%16.2%3,89614.929012%14.929012%14.9%65,34165.3k4914.005602%14.005602%14.0%45013.833543%13.833543%13.8%59,72359.7k507.212714%7.212714%7.2%59
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#33

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 Niangua Township, selected other county subdivisions in the United States, and entities that contain the Niangua Township
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoMissouriAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantSpringfield Metro AreaSpringfieldEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxWebster CountyWebsterDetroitNiangua TownshipNiangua470101Tract 47010112.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%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%9,827392.625755%2.625755%2.6%7,7472.484535%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%15,06415.1k491.450721%1.450721%1.5%3491.318660%1.318660%1.3%5,693500.855746%0.855746%0.9%70.653595%0.653595%0.7%21
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#34

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 Niangua Township, selected other county subdivisions in the United States, and entities that contain the Niangua Township
Female
Male
1x0x1xFM#1, CharlotteDetroitWebsterBaltimoreTulsaSW DallasWest North CentralMidwestFresnoSpringfieldMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioMissouriSan BernardinoNianguaAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisTract 470101BronxPlanoBrooklynSan 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-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.209680x1.209680x1.21x12.634%12.6%15.283%15.3%-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-1.000000x1.124459x1.124459x1.12x9.371%9.37%10.537%10.5%-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-1.000000x1.078245x1.078245x1.08x20.046%20.0%21.615%21.6%-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-1.000000x1.037413x1.037413x1.04x15.159%15.2%15.726%15.7%-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#35

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 Niangua Township, selected other county subdivisions in the United States, and entities that contain the Niangua Township
Female
Male
10x5x0xFM#El PasoTract 470101Salt Lk CityPlanoTulsaAlbuquerqueSpringfieldNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteMidwestMissouriNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoWebsterUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroitNiangua-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.074826x2.074826x2.07x0.428%0.43%0.888%0.89%-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-1.000000x1.705184x1.705184x1.71x1.960%1.96%3.342%3.34%-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-1.000000x1.527886x1.527886x1.53x1.146%1.15%1.751%1.75%-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%50-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.613%1.61%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

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
Missouri
County:
Webster
Metro Area:
Springfield Area
City:
Niangua
ZIP Codes:
65706, 65713
Unified School Districts:
Marshfield R-I, Niangua R-V
Congressional District:
MO-4
State Senate District:
MO-33
State House District:
MO-141
Neighboring Townships:
Boone, East Ozark, High Prairie, Marshfield, Union, Union, Washington
Nearby Townships:
Dallas, Diggins, Grant, Hazelwood, Jackson, Phillipsburg, Union, Washington, Washington, West Ozark