Educational Attainment in the Utica Township, Yankton County, South Dakota (Township)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Yankton County and the Utica Township
Utica Township
Yankton County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma221.095335%37.025117%21.095335%21.1%10470.993915%54.827717%70.993915%71.0%3507.910751%8.147166%7.910751%7.9%39
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 Yankton County at large.
Scope: population of Yankton County and the Utica Township
0%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-43.024259%-43.024259%-43.0%21.095%21.1%37.025%37.0%29.485448%29.485448%+29.5%70.994%71.0%54.828%54.8%-2.901818%-2.901818%-2.9%7.911%7.91%8.147%8.15%
% percentage with given level in the Utica Township
ref. percentage with given level in Yankton 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 Yankton County and the Utica Township
Utica Township
Yankton County
0%10%20%30%40%50%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.000000%0.000000%0.0%1.318945%01.419878%1.615550%1.419878%1.4%74.665314%5.654424%4.665314%4.7%237.099391%18.742900%7.099391%7.1%357.910751%9.693298%7.910751%7.9%3920.892495%21.494383%20.892495%20.9%10350.101420%33.333333%50.101420%50.1%2475.679513%5.301022%5.679513%5.7%281.217039%2.492743%1.217039%1.2%61.014199%0.353401%1.014199%1.0%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 Yankton County at large.
Scope: population of Yankton County and the Utica Township
-100%0%+100%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-100.000000%-100.000000%-100.0%0.000%0%1.319%1.32%-12.111752%-12.111752%-12.1%1.420%1.42%1.616%1.62%-17.492665%-17.492665%-17.5%4.665%4.67%5.654%5.65%-62.122237%-62.122237%-62.1%7.099%7.10%18.743%18.7%-18.389484%-18.389484%-18.4%7.911%7.91%9.693%9.69%-2.800213%-2.800213%-2.8%20.892%20.9%21.494%21.5%50.304260%50.304260%+50.3%50.101%50.1%33.333%33.3%7.139959%7.139959%+7.1%5.680%5.68%5.301%5.30%-51.176727%-51.176727%-51.2%1.217%1.22%2.493%2.49%186.982034%186.982034%+187.0%1.014%1.01%0.353%0.35%
% percentage with given level in the Utica Township
ref. percentage with given level in Yankton 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 Yankton County and the Utica Township
More Females More Males
Yankton County
Utica Township
40%20%0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-46.249053%-26.018585%-46.249053%46%28.037%28.0%19.171%19.2%8.928702%17.701195%8.928702%9%66.355%66.4%72.280%72.3%-3.724388%52.461140%52.461140%52%5.607%5.61%8.549%8.55%
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 Yankton County and the Utica Township
More Females More Males
Yankton County
Utica Township
1k%0k%1k%FMProfessional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%158.043576%1,000.000000%> 1000%0.000%0%1.813%1.81%-105.770064%1,000.000000%1,000.000000%> 1000%0.000%0%5.959%5.96%-281.968114%-38.694251%-281.968114%0k%16.822%16.8%4.404%4.40%-60.332295%-60.332295%0k%14.034206%11.215%11.2%6.995%6.99%-4.950996%22.552495%22.552495%0k%17.757%17.8%21.762%21.8%3.950777%35.284643%3.950777%0k%48.598%48.6%50.518%50.5%-17.004136%1,000.000000%1,000.000000%> 1000%0.000%0%7.254%7.25%-1,000.000000%-1,000.000000%> 1000%23.654743%5.607%5.61%0.000%0%1,000.000000%3.426373%1,000.000000%> 1000%0.000%0%1.295%1.30%
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 Yankton County and the Utica Township
Utica Township
Yankton County
0%5%10%15%20%B.X.Total65+45-6435-4425-340.000000%0.000000%0.0%13.905402%07510.759494%19.021739%10.759494%10.8%1715814.173228%24.944403%14.173228%14.2%181270.000000%0.000000%0.0%18.809440%0133
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 Yankton County at large.
Scope: population of Yankton County and the Utica Township
100%80%60%40%20%0%%ref.65+45-6435-4425-34-100.000000%-100.000000%100.0%0.000%0%13.905%13.9%-43.435805%-43.435805%43.4%10.759%10.8%19.022%19.0%-43.180728%-43.180728%43.2%14.173%14.2%24.944%24.9%-100.000000%-100.000000%100.0%0.000%0%18.809%18.8%
% percentage in the Utica Township with a Bachelor's degree
ref percentage in Yankton 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 Yankton County and the Utica Township
More Females More Males
Yankton County
Utica Township
1,000%500%0%500%1,000%FM45-6435-44-30.020175%1,000.000000%1,000.000000%> 1000%0.000%0%13.178%13.2%-1,000.000000%-110.904225%-1,000.000000%> 1000%72.000%72.0%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 Yankton County and the Utica Township
Utica Township
Yankton County
$0k$10k$20kCount%Some College$15,769.000000$29,302.000000$15,769.000000$15.8k14228.803%28.8%
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 Yankton County and the Utica Township
Female Male
Yankton County
Utica Township
Shaded bar tips show excess over facing bar.
$20k$10k$0k$10k$20k$30kFMSome College$-10,875.000000$-23,577.000000$-10,875.000000$10.9k$10,875.000000$6,144.000000$23,577.000000$10,590.000000$17,019.000000$17.0k31111
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Yankton County and the Utica Township
Utica Township
Yankton County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma370.689655%83.057363%70.689655%70.7%4141.732283%74.321926%41.732283%41.7%5319.811321%74.212855%19.811321%19.8%420.000000%0.000000%0.0%58.240397%0
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Yankton County and the Utica Township
Female Male
Yankton County
Utica Township
Shaded bar tips show excess over facing bar.
6%4%2%0%2%4%6%MFWhite1-5.607477%-7.042254%-5.607477%5.6%5.607477%2.058029%7.042254%0.034122%7.665505%7.7%226
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Yankton County and the Utica Township
Female Male
Yankton County
Utica Township
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%MFWhite1-16.376307%-0.446123%-25.020531%-8.085033%-16.822430%16.8%16.376307%25.020531%16.376307%16.4%4718
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Utica Township

Coarse: Post-Secondary Degree Educational Attainment by Tract#15

Percentage of the population 25 years and older with given highest level of educational attainment
31.8%32.8%33.7%34.7%35.6%36.6%

Coarse: High School Diploma Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
55.9%56.9%57.9%58.9%59.9%60.9%

Coarse: No High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
7.320%7.354%7.387%7.421%7.454%7.488%

Detailed: Doctorate Degree Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
0.77%0.86%0.94%1.03%1.11%1.20%

Detailed: Professional Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.77%0.99%1.22%1.44%1.67%1.90%

Detailed: Master's Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
3.64%3.79%3.95%4.10%4.25%4.40%

Detailed: Bachelor's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
13.6%14.6%15.4%16.3%17.2%18.1%

Detailed: Associate's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
11.03%11.42%11.81%12.19%12.58%12.96%

Detailed: Some College Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
20.87%21.18%21.48%21.78%22.08%22.39%

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

Percentage of the population 25 years and older with given highest level of educational attainment
35.0%35.8%36.4%37.1%37.8%38.5%

Detailed: Some High School Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
4.592%4.620%4.647%4.674%4.701%4.729%

Detailed: Less than High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.392%2.433%2.473%2.512%2.552%2.592%

Detailed: None Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.10%0.20%0.30%0.40%0.51%
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Educational Attainment by County Subdivision in the Yankton Area

There are 18 county subdivisions in the Yankton Area. This section compares the Utica Township to all of the county subdivisions in the Yankton Area and to those entities that contain or substantially overlap with the Utica Township.

No H.S. Diploma by County Subdivision#28

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Utica Township, selected other county subdivisions in the Yankton Area, and entities that contain the Utica Township
0%5%10%15%20%Count#Mayfield TownshipMayfieldTurkey Valley TownshipTurkey VlyTown of VolinTown of LestervilleLestervilleUnited States of AmericaUnited StatesMidwestTown of UticaWest North CentralYanktonSouth DakotaMission Hill TownshipMission HlYankton Metro AreaYankton AreaYankton CountyYanktonYankton School District 63-3Yankton 63-3Utica TownshipUticaSoutheast YanktonSE YanktonTown of Mission HillMission HlVolin TownshipVolinWest YanktonTown of GayvilleGayvilleMarindahl TownshipMarindahlGayville TownshipGayvilleJamesville TownshipJamesvilleWalshtown TownshipWalshtown20.338983%20.338983%20.3%24119.101124%19.101124%19.1%34215.517241%15.517241%15.5%18313.513514%13.513514%13.5%10413.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.230769%9.230769%9.2%659.174633%9.174633%9.2%1,278,0511.28M8.859746%8.859746%8.9%88568.813537%8.813537%8.8%49,05549.1k8.450704%8.450704%8.5%1878.147166%8.147166%8.1%1,2918.147166%8.147166%8.1%1,2918.022862%8.022862%8.0%1,1377.910751%7.910751%7.9%3987.753165%7.753165%7.8%4997.500000%7.500000%7.5%12106.535948%6.535948%6.5%10116.090226%6.090226%6.1%162124.150943%4.150943%4.2%11133.333333%3.333333%3.3%6142.564103%2.564103%2.6%7150.000000%0.000000%0.0%0160.000000%0.000000%0.0%017
Count number of people in category
# rank of county subdivision out of 17 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#29

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Utica Township, selected other county subdivisions in the Yankton Area, and entities that contain the Utica Township
0%10%20%30%40%50%Count#Mission Hill TownshipMission HlGayville TownshipGayvilleUnited States of AmericaUnited StatesWest North CentralYanktonMidwestYankton School District 63-3Yankton 63-3South DakotaYankton Metro AreaYankton AreaYankton CountyYanktonTurkey Valley TownshipTurkey VlyWest YanktonTown of GayvilleGayvilleVolin TownshipVolinWalshtown TownshipWalshtownSoutheast YanktonSE YanktonMarindahl TownshipMarindahlMayfield TownshipMayfieldUtica TownshipUticaTown of Mission HillMission HlTown of UticaTown of VolinTown of LestervilleLestervilleJamesville TownshipJamesville50.704225%50.704225%50.7%108130.769231%30.769231%30.8%84230.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.842827%29.842827%29.8%2,981328.952816%28.952816%29.0%13,118,64213.1M28.528084%28.528084%28.5%4,04327.450336%27.450336%27.5%152,785153k27.331819%27.331819%27.3%4,33127.331819%27.331819%27.3%4,33126.966292%26.966292%27.0%48426.578947%26.578947%26.6%707523.018868%23.018868%23.0%61622.222222%22.222222%22.2%34720.769231%20.769231%20.8%27818.987342%18.987342%19.0%120917.222222%17.222222%17.2%311013.559322%13.559322%13.6%161113.184584%13.184584%13.2%651213.125000%13.125000%13.1%21139.230769%9.230769%9.2%6148.620690%8.620690%8.6%10158.108108%8.108108%8.1%6164.081633%4.081633%4.1%617
Count number of people in category
# rank of county subdivision out of 17 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#30

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 Utica Township, selected other county subdivisions in the Yankton Area, and entities that contain the Utica Township
0%5%10%15%Count#Mission Hill TownshipMission HlGayville TownshipGayvilleWest YanktonUnited States of AmericaUnited StatesMarindahl TownshipMarindahlYankton School District 63-3Yankton 63-3Town of UticaYanktonWest North CentralYankton Metro AreaYankton AreaYankton CountyYanktonMidwestSouth DakotaTown of GayvilleGayvilleTown of Mission HillMission HlUtica TownshipUticaTown of LestervilleLestervilleSoutheast YanktonSE YanktonJamesville TownshipJamesvilleVolin TownshipVolinWalshtown TownshipWalshtownTown of VolinTurkey Valley TownshipTurkey VlyMayfield TownshipMayfield15.962441%15.962441%16.0%3414.029304%4.029304%4.0%1123.345865%3.345865%3.3%8933.336158%3.336158%3.3%7,127,6737.13M3.333333%3.333333%3.3%643.118826%3.118826%3.1%4423.076923%3.076923%3.1%253.003304%3.003304%3.0%30062.978981%2.978981%3.0%414,980415k2.934495%2.934495%2.9%4652.934495%2.934495%2.9%4652.893416%2.893416%2.9%1,311,0191.31M2.514252%2.514252%2.5%13,99414.0k1.886792%1.886792%1.9%571.875000%1.875000%1.9%381.419878%1.419878%1.4%791.351351%1.351351%1.4%1101.107595%1.107595%1.1%7110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%017
Count number of people in category
# rank of county subdivision out of 17 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#31

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 Utica Township, selected other county subdivisions in the Yankton Area, and entities that contain the Utica Township
Female
Male
10x5x0x5x10xFM#MayfieldLestervilleVolinTurkey VlyMission HlWest YanktonUticaTown of UticaGayvilleSouth DakotaSE YanktonWest North CentralMidwestUnited StatesYankton AreaYanktonYankton 63-3YanktonTown of VolinMission HlGayvilleMarindahl-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%33.333%33.3%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x2.439%2.44%27.273%27.3%2-1.000000x-1.000000x2.916667x2.916667x2.92x3.529%3.53%10.294%10.3%3-1.000000x-1.000000x2.156542x2.156542x2.16x11.268%11.3%24.299%24.3%4-1.000000x-1.000000x1.636364x1.636364x1.64x5.556%5.56%9.091%9.09%5-1.000000x-1.000000x1.541746x1.541746x1.54x4.769%4.77%7.353%7.35%6-1.000000x-1.000000x1.524611x1.524611x1.52x5.607%5.61%8.549%8.55%7-1.000000x-1.000000x1.513514x1.513514x1.51x7.143%7.14%10.811%10.8%8-1.000000x-1.000000x1.450000x1.450000x1.45x3.448%3.45%5.000%5.00%9-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.196591x1.196591x1.20x7.051%7.05%8.438%8.44%10-1.000000x-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-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%-1.157054x-1.157054x1.16x1.000000x1.000000x8.642%8.64%7.469%7.47%-1.234367x-1.234367x1.23x1.000000x1.000000x9.838%9.84%7.970%7.97%11-1.538462x-1.538462x1.54x1.000000x1.000000x19.231%19.2%12.500%12.5%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x16.822%16.8%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.545%4.55%0.000%0%14-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.108%8.11%0.000%0%15
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 15 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#32

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 Utica Township, selected other county subdivisions in the Yankton Area, and entities that contain the Utica Township
Female
Male
10x5x0x5x10xFM#UticaWest YanktonMission HlGayvilleSouth DakotaMidwestWest North CentralUnited StatesYankton 63-3Yankton AreaYanktonYanktonSE YanktonGayvilleMission HlMarindahlLestervilleTown of Utica-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.813%1.81%1-1.000000x-1.000000x4.361213x4.361213x4.36x1.231%1.23%5.368%5.37%2-1.000000x-1.000000x3.280660x3.280660x3.28x7.477%7.48%24.528%24.5%3-1.000000x-1.000000x1.812500x1.812500x1.81x1.379%1.38%2.500%2.50%4-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.196248x1.196248x1.20x2.826%2.83%3.381%3.38%-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%-1.144745x-1.144745x1.14x1.000000x1.000000x3.216%3.22%2.810%2.81%5-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.244%2.24%0.000%0%6-10.000000x-10.000000x> 10.0x1.000000x1.000000x7.143%7.14%0.000%0%7-10.000000x-10.000000x> 10.0x1.000000x1.000000x4.167%4.17%0.000%0%8-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.108%8.11%0.000%0%9-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.439%2.44%0.000%0%10-10.000000x-10.000000x> 10.0x1.000000x1.000000x7.143%7.14%0.000%0%11
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 11 by male-to-female sex ratio

Educational Attainment by County Subdivision in South Dakota

There are 1,335 county subdivisions in South Dakota. This section compares the Utica Township to the 50 most populous county subdivisions in South Dakota and to those entities that contain or substantially overlap with the Utica Township. The least populous of the compared county subdivisions has a population of 2,278.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Utica Township, selected other county subdivisions in South Dakota, and entities that contain the Utica Township
0%5%10%15%20%25%Count#West ToddEast Oglala LakotaE Oglala LakotaEast CorsonWest Oglala LakotaW Oglala LakotaHuronSissetonEast ToddWinnerMobridgeNorth DeweyUnited States of AmericaUnited StatesNorth Sioux CityN Sioux CityMidwestLeadMilbankFort PierreMitchellPierreSioux FallsCantonSturgisWest North CentralWest ButteYanktonSouth DakotaBox ElderAberdeenYankton Metro AreaYankton AreaYankton CountyYanktonWatertownYankton School District 63-3Yankton 63-3Rapid CityUtica TownshipUticaHot SpringsWest CusterChamberlainBelle FourcheMadisonSouthwest MeadeSW MeadeWest YanktonRedfieldHartfordCentral PenningtonCntrl PenningtonSpearfishDell RapidsVermillionSplit Rock TownshipSplit RockBig Sioux TownshipBig SiouxMount RushmoreMt RushmoreBrookingsBox ElderSioux FallsWest HughesNorth LawrenceN LawrenceHarrisburgBrandonSpringdale TownshipSpringdaleTea26.419857%26.419857%26.4%628123.352855%23.352855%23.4%638221.846154%21.846154%21.8%284321.305273%21.305273%21.3%901419.339458%19.339458%19.3%1,663517.559524%17.559524%17.6%295614.750151%14.750151%14.8%245714.250125%14.250125%14.3%286813.656041%13.656041%13.7%347913.483764%13.483764%13.5%2451013.020590%13.020590%13.0%27,818,38027.8M12.222888%12.222888%12.2%2041110.244520%10.244520%10.2%4,641,8354.64M10.186389%10.186389%10.2%2351210.160920%10.160920%10.2%2211310.089400%10.089400%10.1%158149.976200%9.976200%10.0%1,006159.786495%9.786495%9.8%958169.702326%9.702326%9.7%9,123179.388840%9.388840%9.4%212189.364909%9.364909%9.4%435199.174633%9.174633%9.2%1,278,0511.28M8.965929%8.965929%9.0%150208.859746%8.859746%8.9%885218.813537%8.813537%8.8%49,05549.1k8.696917%8.696917%8.7%299228.481745%8.481745%8.5%1,524238.147166%8.147166%8.1%1,2918.147166%8.147166%8.1%1,2918.084058%8.084058%8.1%1,181248.022862%8.022862%8.0%1,1377.926704%7.926704%7.9%3,850257.910751%7.910751%7.9%397.445632%7.445632%7.4%202267.441592%7.441592%7.4%258277.435159%7.435159%7.4%129287.221350%7.221350%7.2%276296.674392%6.674392%6.7%288306.256121%6.256121%6.3%511316.090226%6.090226%6.1%162325.858171%5.858171%5.9%114335.492639%5.492639%5.5%97345.278205%5.278205%5.3%480355.231536%5.231536%5.2%357365.117271%5.117271%5.1%120374.908504%4.908504%4.9%228384.757548%4.757548%4.8%104394.303279%4.303279%4.3%105404.091154%4.091154%4.1%228413.850760%3.850760%3.9%418423.776824%3.776824%3.8%44433.667391%3.667391%3.7%591443.335250%3.335250%3.3%58453.233720%3.233720%3.2%145462.122642%2.122642%2.1%63471.887113%1.887113%1.9%111481.596114%1.596114%1.6%23491.520000%1.520000%1.5%3850
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#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Utica Township, selected other county subdivisions in South Dakota, and entities that contain the Utica Township
0%20%40%Count#VermillionSioux FallsHarrisburgBig Sioux TownshipBig SiouxBrookingsSplit Rock TownshipSplit RockWest HughesMount RushmoreMt RushmoreSpringdale TownshipSpringdaleNorth LawrenceN LawrenceTeaHartfordBrandonMadisonSpearfishPierreRapid CityUnited States of AmericaUnited StatesSioux FallsWest North CentralYanktonWest CusterChamberlainMidwestYankton School District 63-3Yankton 63-3AberdeenLeadSouth DakotaYankton Metro AreaYankton AreaYankton CountyYanktonSouthwest MeadeSW MeadeFort PierreMitchellDell RapidsWest YanktonWest ButteWinnerHot SpringsMobridgeEast ToddNorth Sioux CityN Sioux CityCantonWatertownBox ElderHuronSturgisCentral PenningtonCntrl PenningtonSissetonBelle FourcheRedfieldBox ElderNorth DeweyUtica TownshipUticaEast CorsonMilbankEast Oglala LakotaE Oglala LakotaWest ToddWest Oglala LakotaW Oglala Lakota55.026911%55.026911%55.0%2,556152.057090%52.057090%52.1%8,389247.843666%47.843666%47.8%1,420347.745902%47.745902%47.7%1,165447.250115%47.250115%47.3%5,129545.059469%45.059469%45.1%985642.955722%42.955722%43.0%747742.436749%42.436749%42.4%2,365841.498959%41.498959%41.5%598938.157895%38.157895%38.2%1,7111037.040000%37.040000%37.0%9261134.767837%34.767837%34.8%6141233.764026%33.764026%33.8%1,9861333.534183%33.534183%33.5%1,4471433.015826%33.015826%33.0%2,2531532.516089%32.516089%32.5%3,1831630.533251%30.533251%30.5%14,83014.8k1730.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k1830.056536%30.056536%30.1%4,186,9564.19M29.842827%29.842827%29.8%2,9811929.622152%29.622152%29.6%1,0272029.452450%29.452450%29.5%5112128.952816%28.952816%29.0%13,118,64213.1M28.528084%28.528084%28.5%4,04328.317008%28.317008%28.3%5,0882227.568270%27.568270%27.6%6362327.450336%27.450336%27.5%152,785153k27.331819%27.331819%27.3%4,33127.331819%27.331819%27.3%4,33127.215965%27.215965%27.2%2,2232427.075351%27.075351%27.1%4242526.824673%26.824673%26.8%2,7052626.652452%26.652452%26.7%6252726.578947%26.578947%26.6%7072825.582785%25.582785%25.6%4282924.065770%24.065770%24.1%4833022.889790%22.889790%22.9%6213122.077922%22.077922%22.1%5613221.733895%21.733895%21.7%3613321.569802%21.569802%21.6%3603420.992028%20.992028%21.0%4743520.898077%20.898077%20.9%3,0533620.600858%20.600858%20.6%2403720.002326%20.002326%20.0%1,7203819.763186%19.763186%19.8%9183918.803607%18.803607%18.8%1,7104018.452381%18.452381%18.5%3104118.158032%18.158032%18.2%6944218.088386%18.088386%18.1%3524317.626527%17.626527%17.6%6064413.538800%13.538800%13.5%2464513.184584%13.184584%13.2%6513.076923%13.076923%13.1%1704612.413793%12.413793%12.4%2704711.713031%11.713031%11.7%3204810.769878%10.769878%10.8%2564910.711752%10.711752%10.7%45350
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#35

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 Utica Township, selected other county subdivisions in South Dakota, and entities that contain the Utica Township
0%5%10%Count#VermillionBig Sioux TownshipBig SiouxBrookingsMount RushmoreMt RushmoreSplit Rock TownshipSplit RockSpringdale TownshipSpringdaleSioux FallsWest HughesFort PierreWinnerSpearfishMadisonMobridgeHarrisburgTeaWest YanktonUnited States of AmericaUnited StatesHot SpringsPierreYankton School District 63-3Yankton 63-3YanktonWest North CentralChamberlainYankton Metro AreaYankton AreaYankton CountyYanktonRapid CityMidwestSioux FallsNorth LawrenceN LawrenceRedfieldWest CusterSouth DakotaAberdeenSouthwest MeadeSW MeadeHartfordBrandonCentral PenningtonCntrl PenningtonSissetonBox ElderNorth Sioux CityN Sioux CityUtica TownshipUticaMitchellCantonLeadSturgisWest ToddWatertownDell RapidsBelle FourcheMilbankNorth DeweyHuronEast ToddWest Oglala LakotaW Oglala LakotaBox ElderEast Oglala LakotaE Oglala LakotaEast CorsonWest Butte13.842842%13.842842%13.8%643110.737705%10.737705%10.7%26226.927683%6.927683%6.9%75236.352055%6.352055%6.4%35446.129918%6.129918%6.1%13455.968078%5.968078%6.0%8665.963388%5.963388%6.0%96174.715354%4.715354%4.7%8284.150702%4.150702%4.2%6593.986049%3.986049%4.0%80103.898007%3.898007%3.9%266113.777520%3.777520%3.8%163123.541913%3.541913%3.5%90133.537736%3.537736%3.5%105143.400000%3.400000%3.4%85153.345865%3.345865%3.3%89163.336158%3.336158%3.3%7,127,6737.13M3.243642%3.243642%3.2%88173.197467%3.197467%3.2%313183.118826%3.118826%3.1%4423.003304%3.003304%3.0%300192.978981%2.978981%3.0%414,980415k2.939481%2.939481%2.9%51202.934495%2.934495%2.9%4652.934495%2.934495%2.9%4652.927733%2.927733%2.9%1,422212.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672222.720785%2.720785%2.7%122232.569373%2.569373%2.6%50242.567061%2.567061%2.6%89252.514252%2.514252%2.5%13,99414.0k2.254007%2.254007%2.3%405262.252693%2.252693%2.3%184272.151755%2.151755%2.2%38282.006120%2.006120%2.0%118291.792391%1.792391%1.8%163301.785714%1.785714%1.8%30311.774287%1.774287%1.8%61321.437987%1.437987%1.4%24331.419878%1.419878%1.4%71.388338%1.388338%1.4%140341.284322%1.284322%1.3%29351.257044%1.257044%1.3%29361.227126%1.227126%1.2%57371.177955%1.177955%1.2%28380.937778%0.937778%0.9%137390.724947%0.724947%0.7%17400.627943%0.627943%0.6%24410.459770%0.459770%0.5%10420.440286%0.440286%0.4%8430.430283%0.430283%0.4%37440.421433%0.421433%0.4%7450.401986%0.401986%0.4%17460.257511%0.257511%0.3%3470.000000%0.000000%0.0%0480.000000%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#36

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 Utica Township, selected other county subdivisions in South Dakota, and entities that contain the Utica Township
Female
Male
10x5x0x5xFM#West ButteSW MeadeCantonWest HughesHarrisburgDell RapidsHot SpringsSplit RockSioux FallsWest CusterBox ElderHartfordWest YanktonUticaN Sioux CityMt RushmoreVermillionW Oglala LakotaSturgisWest ToddMitchellMilbankFort PierreChamberlainWatertownSissetonN LawrenceMadisonRedfieldSouth DakotaAberdeenRapid CitySpringdaleWest North CentralMidwestSioux FallsUnited StatesHuronNorth DeweySpearfishLeadMobridgeYankton AreaYanktonEast ToddBelle FourcheYankton 63-3WinnerBrookingsYanktonE Oglala LakotaEast CorsonTeaPierreCntrl PenningtonBrandonBox ElderBig Sioux-1.000000x-1.000000x5.219970x5.219970x5.22x2.829%2.83%14.767%14.8%1-1.000000x-1.000000x4.945813x4.945813x4.95x2.085%2.09%10.314%10.3%2-1.000000x-1.000000x4.258030x4.258030x4.26x3.493%3.49%14.872%14.9%3-1.000000x-1.000000x4.113585x4.113585x4.11x1.290%1.29%5.305%5.30%4-1.000000x-1.000000x3.814476x3.814476x3.81x0.929%0.93%3.545%3.55%5-1.000000x-1.000000x3.106771x3.106771x3.11x2.515%2.51%7.813%7.81%6-1.000000x-1.000000x2.001333x2.001333x2.00x4.974%4.97%9.955%9.96%7-1.000000x-1.000000x1.875257x1.875257x1.88x3.263%3.26%6.119%6.12%8-1.000000x-1.000000x1.757060x1.757060x1.76x2.689%2.69%4.724%4.72%9-1.000000x-1.000000x1.724210x1.724210x1.72x5.515%5.52%9.510%9.51%10-1.000000x-1.000000x1.607070x1.607070x1.61x6.697%6.70%10.763%10.8%11-1.000000x-1.000000x1.586684x1.586684x1.59x4.215%4.22%6.689%6.69%12-1.000000x-1.000000x1.541746x1.541746x1.54x4.769%4.77%7.353%7.35%13-1.000000x-1.000000x1.524611x1.524611x1.52x5.607%5.61%8.549%8.55%-1.000000x-1.000000x1.524572x1.524572x1.52x9.646%9.65%14.706%14.7%14-1.000000x-1.000000x1.515325x1.515325x1.52x3.261%3.26%4.942%4.94%15-1.000000x-1.000000x1.498461x1.498461x1.50x3.906%3.91%5.853%5.85%16-1.000000x-1.000000x1.494353x1.494353x1.49x17.285%17.3%25.829%25.8%17-1.000000x-1.000000x1.480208x1.480208x1.48x7.668%7.67%11.350%11.3%18-1.000000x-1.000000x1.477030x1.477030x1.48x21.515%21.5%31.778%31.8%19-1.000000x-1.000000x1.448467x1.448467x1.45x8.208%8.21%11.889%11.9%20-1.000000x-1.000000x1.413342x1.413342x1.41x8.453%8.45%11.947%11.9%21-1.000000x-1.000000x1.389522x1.389522x1.39x8.389%8.39%11.656%11.7%22-1.000000x-1.000000x1.320837x1.320837x1.32x6.455%6.46%8.526%8.53%23-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%24-1.000000x-1.000000x1.293077x1.293077x1.29x15.428%15.4%19.949%19.9%25-1.000000x-1.000000x1.285433x1.285433x1.29x2.828%2.83%3.635%3.63%26-1.000000x-1.000000x1.265403x1.265403x1.27x5.906%5.91%7.474%7.47%27-1.000000x-1.000000x1.255401x1.255401x1.26x5.273%5.27%6.619%6.62%28-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.187620x1.187620x1.19x7.786%7.79%9.247%9.25%29-1.000000x-1.000000x1.168092x1.168092x1.17x7.323%7.32%8.554%8.55%30-1.000000x-1.000000x1.164868x1.164868x1.16x1.468%1.47%1.711%1.71%31-1.000000x-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-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%32-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100283x1.100283x1.10x18.463%18.5%20.314%20.3%33-1.000000x-1.000000x1.036666x1.036666x1.04x13.258%13.3%13.744%13.7%34-1.000000x-1.000000x1.028284x1.028284x1.03x5.163%5.16%5.309%5.31%35-1.000000x-1.000000x1.012928x1.012928x1.01x10.121%10.1%10.252%10.3%36-1.010176x-1.010176x1.01x1.000000x1.000000x13.723%13.7%13.584%13.6%37-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%-1.080159x-1.080159x1.08x1.000000x1.000000x15.295%15.3%14.160%14.2%38-1.103812x-1.103812x1.10x1.000000x1.000000x7.553%7.55%6.842%6.84%39-1.157054x-1.157054x1.16x1.000000x1.000000x8.642%8.64%7.469%7.47%-1.208183x-1.208183x1.21x1.000000x1.000000x15.516%15.5%12.842%12.8%40-1.222914x-1.222914x1.22x1.000000x1.000000x4.243%4.24%3.470%3.47%41-1.234367x-1.234367x1.23x1.000000x1.000000x9.838%9.84%7.970%7.97%42-1.415104x-1.415104x1.42x1.000000x1.000000x27.121%27.1%19.165%19.2%43-1.422449x-1.422449x1.42x1.000000x1.000000x25.746%25.7%18.100%18.1%44-1.596464x-1.596464x1.60x1.000000x1.000000x1.830%1.83%1.146%1.15%45-1.657419x-1.657419x1.66x1.000000x1.000000x12.036%12.0%7.262%7.26%46-1.799878x-1.799878x1.80x1.000000x1.000000x6.782%6.78%3.768%3.77%47-1.923915x-1.923915x1.92x1.000000x1.000000x2.453%2.45%1.275%1.27%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x7.737%7.74%0.617%0.62%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.801%8.80%0.000%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#37

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 Utica Township, selected other county subdivisions in South Dakota, and entities that contain the Utica Township
Female
Male
10x5x0x5x10xFM#UticaNorth DeweyMilbankEast ToddRedfieldWatertownN Sioux CityWinnerWest YanktonHot SpringsFort PierreHuronChamberlainAberdeenPierreCntrl PenningtonMt RushmoreBelle FourcheSpearfishSW MeadeVermillionSplit RockBrookingsSioux FallsMitchellCantonBig SiouxSturgisSioux FallsSouth DakotaMobridgeMidwestWest North CentralUnited StatesRapid CityBox ElderWest ToddYankton 63-3Yankton AreaYanktonBrandonN LawrenceTeaYanktonWest CusterMadisonSpringdaleLeadDell RapidsHarrisburgHartfordSissetonWest HughesW Oglala LakotaBox Elder-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.813%1.81%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.948%0.95%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.941%0.94%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.877%0.88%3-1.000000x-1.000000x5.200946x5.200946x5.20x0.909%0.91%4.728%4.73%4-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%5-1.000000x-1.000000x4.817647x4.817647x4.82x0.488%0.49%2.353%2.35%6-1.000000x-1.000000x4.450526x4.450526x4.45x1.514%1.51%6.737%6.74%7-1.000000x-1.000000x4.361213x4.361213x4.36x1.231%1.23%5.368%5.37%8-1.000000x-1.000000x3.688238x3.688238x3.69x1.390%1.39%5.126%5.13%9-1.000000x-1.000000x3.685890x3.685890x3.69x1.731%1.73%6.380%6.38%10-1.000000x-1.000000x3.460356x3.460356x3.46x0.199%0.20%0.688%0.69%11-1.000000x-1.000000x3.254193x3.254193x3.25x1.422%1.42%4.629%4.63%12-1.000000x-1.000000x3.026479x3.026479x3.03x1.147%1.15%3.472%3.47%13-1.000000x-1.000000x2.914741x2.914741x2.91x1.681%1.68%4.899%4.90%14-1.000000x-1.000000x2.553567x2.553567x2.55x1.010%1.01%2.578%2.58%15-1.000000x-1.000000x2.366289x2.366289x2.37x3.793%3.79%8.975%8.98%16-1.000000x-1.000000x2.287156x2.287156x2.29x0.392%0.39%0.897%0.90%17-1.000000x-1.000000x2.199787x2.199787x2.20x2.499%2.50%5.498%5.50%18-1.000000x-1.000000x2.167794x2.167794x2.17x1.415%1.42%3.068%3.07%19-1.000000x-1.000000x2.132400x2.132400x2.13x8.744%8.74%18.645%18.6%20-1.000000x-1.000000x2.066050x2.066050x2.07x3.935%3.93%8.129%8.13%21-1.000000x-1.000000x2.048101x2.048101x2.05x4.523%4.52%9.264%9.26%22-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%23-1.000000x-1.000000x1.946378x1.946378x1.95x0.954%0.95%1.858%1.86%24-1.000000x-1.000000x1.766838x1.766838x1.77x0.919%0.92%1.624%1.62%25-1.000000x-1.000000x1.738512x1.738512x1.74x7.795%7.80%13.553%13.6%26-1.000000x-1.000000x1.728895x1.728895x1.73x0.919%0.92%1.588%1.59%27-1.000000x-1.000000x1.673245x1.673245x1.67x4.505%4.51%7.538%7.54%28-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.619067x1.619067x1.62x2.729%2.73%4.419%4.42%29-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.504887x1.504887x1.50x2.347%2.35%3.532%3.53%30-1.000000x-1.000000x1.487688x1.487688x1.49x1.431%1.43%2.129%2.13%31-1.000000x-1.000000x1.456573x1.456573x1.46x0.967%0.97%1.408%1.41%32-1.000000x-1.000000x1.196248x1.196248x1.20x2.826%2.83%3.381%3.38%-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%-1.000000x-1.000000x1.082861x1.082861x1.08x1.929%1.93%2.089%2.09%33-1.000000x-1.000000x1.054544x1.054544x1.05x2.648%2.65%2.793%2.79%34-1.129941x-1.129941x1.13x1.000000x1.000000x3.587%3.59%3.175%3.17%35-1.144745x-1.144745x1.14x1.000000x1.000000x3.216%3.22%2.810%2.81%36-1.250139x-1.250139x1.25x1.000000x1.000000x2.841%2.84%2.273%2.27%37-1.308470x-1.308470x1.31x1.000000x1.000000x4.271%4.27%3.264%3.26%38-1.550008x-1.550008x1.55x1.000000x1.000000x7.342%7.34%4.737%4.74%39-1.629286x-1.629286x1.63x1.000000x1.000000x1.557%1.56%0.956%0.96%40-1.770327x-1.770327x1.77x1.000000x1.000000x0.922%0.92%0.521%0.52%41-2.097274x-2.097274x2.10x1.000000x1.000000x4.647%4.65%2.216%2.22%42-2.313817x-2.313817x2.31x1.000000x1.000000x3.044%3.04%1.316%1.32%43-2.452703x-2.452703x2.45x1.000000x1.000000x2.477%2.48%1.010%1.01%44-5.513031x-5.513031x5.51x1.000000x1.000000x8.089%8.09%1.467%1.47%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.759%0.76%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.580%0.58%0.000%0%47
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 47 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 Utica Township to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Utica Township. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#38

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Utica Township, selected other county subdivisions in the Midwest, and entities that contain the Utica Township
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralSouth DakotaCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineYankton Metro AreaYankton AreaYankton CountyYanktonYankton School District 63-3Yankton 63-3Utica TownshipUticaSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695378.147166%8.147166%8.1%1,2918.147166%8.147166%8.1%1,2918.022862%8.022862%8.0%1,1377.910751%7.910751%7.9%397.739434%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#39

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Utica Township, selected other county subdivisions in the Midwest, and entities that contain the Utica 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 CentralMidwestWichitaYankton School District 63-3Yankton 63-3Sterling HeightsSterling HtsSouth DakotaYankton Metro AreaYankton AreaYankton CountyYanktonTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroitUtica TownshipUtica72.810169%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%71,75771.8k3028.528084%28.528084%28.5%4,04327.532180%27.532180%27.5%25,60325.6k3127.450336%27.450336%27.5%152,785153k27.331819%27.331819%27.3%4,33127.331819%27.331819%27.3%4,33127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k5013.184584%13.184584%13.2%65
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#40

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 Utica Township, selected other county subdivisions in the Midwest, and entities that contain the Utica 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 RapidsYankton School District 63-3Yankton 63-3Lawrence TownshipLawrenceWest North CentralYankton Metro AreaYankton AreaYankton CountyYanktonSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaSouth DakotaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsUtica TownshipUticaKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%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%3,846243.118826%3.118826%3.1%4423.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.934495%2.934495%2.9%4652.934495%2.934495%2.9%4652.911721%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%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.514252%2.514252%2.5%13,99414.0k2.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.419878%1.419878%1.4%71.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#41

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 Utica Township, selected other county subdivisions in the Midwest, and entities that contain the Utica Township
Female
Male
1x0x1xFM#UticaSouth DakotaCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborYankton AreaYanktonSt. PaulLisleMinneapolisSterling HtsDowners GrvYankton 63-3MiltonMaine-1.000000x-1.000000x1.524611x1.524611x1.52x5.607%5.61%8.549%8.55%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%-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%48-1.157054x-1.157054x1.16x1.000000x1.000000x8.642%8.64%7.469%7.47%-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#42

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 Utica Township, selected other county subdivisions in the Midwest, and entities that contain the Utica Township
Female
Male
0x5x10xFM#UticaRockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaSouth DakotaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrYankton 63-3ToledoMinneapolisYankton AreaYanktonWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.813%1.81%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-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-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.196248x1.196248x1.20x2.826%2.83%3.381%3.38%-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-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#43

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Utica Township, selected other county subdivisions in the United States, and entities that contain the Utica Township
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleSouth DakotaNortheast TarrantNE TarrantYankton Metro AreaYankton AreaYankton CountyYanktonYankton School District 63-3Yankton 63-3Utica TownshipUticaPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.813537%8.813537%8.8%49,05549.1k8.418271%8.418271%8.4%31,44331.4k488.147166%8.147166%8.1%1,2918.147166%8.147166%8.1%1,2918.022862%8.022862%8.0%1,1377.910751%7.910751%7.9%395.714681%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#44

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Utica Township, selected other county subdivisions in the United States, and entities that contain the Utica 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-LakewoodMidwestPhoenixOrlandoYankton School District 63-3Yankton 63-3Anaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoSouth DakotaYankton Metro AreaYankton AreaYankton CountyYanktonEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroitUtica TownshipUtica60.434640%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%112,142112k3428.528084%28.528084%28.5%4,04328.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.450336%27.450336%27.5%152,785153k27.331819%27.331819%27.3%4,33127.331819%27.331819%27.3%4,33127.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k5013.184584%13.184584%13.2%65
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#45

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 Utica Township, selected other county subdivisions in the United States, and entities that contain the Utica 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 StatesTulsaYankton School District 63-3Yankton 63-3PhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralYankton Metro AreaYankton AreaYankton CountyYanktonMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantSouth DakotaEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxUtica TownshipUticaDetroit12.461852%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%12,13312.1k313.118826%3.118826%3.1%4423.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.934495%2.934495%2.9%4652.934495%2.934495%2.9%4652.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%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%9,827392.514252%2.514252%2.5%13,99414.0k2.484535%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%15,06415.1k491.419878%1.419878%1.4%71.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by County Subdivision#46

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 Utica Township, selected other county subdivisions in the United States, and entities that contain the Utica Township
Female
Male
1x0x1xFM#Utica1, CharlotteSouth DakotaDetroitBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiYankton AreaYanktonManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseYankton 63-3San DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.524611x1.524611x1.52x5.607%5.61%8.549%8.55%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%-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%47-1.157054x-1.157054x1.16x1.000000x1.000000x8.642%8.64%7.469%7.47%-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#47

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 Utica Township, selected other county subdivisions in the United States, and entities that contain the Utica Township
Female
Male
0x5x10xFM#UticaEl PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixSouth DakotaTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioYankton 63-3Long Bch-LakewoodDenverSan FranciscoYankton AreaYanktonDetroit-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.813%1.81%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-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-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.196248x1.196248x1.20x2.826%2.83%3.381%3.38%-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-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
South Dakota
County:
Yankton
Metro Area:
Yankton Area
ZIP Codes:
57067, 57078
Unified School District:
Yankton 63-3
Congressional District:
SD-At Large
State Senate District:
SD-18
State House District:
SD-18
Neighboring Cities:
Yankton
Neighboring Towns:
Utica
Neighboring Townships:
Mission Hill, Walshtown
Neighboring Unorganized Territories:
West Yankton
Nearby Precincts:
1, 2
Nearby Townships:
Frankfort, Jamesville, North Frankfort, Volin
Nearby Unorganized Territories:
Southeast Yankton