Educational Attainment in State House District 4, South Dakota (State House District)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of South Dakota and State House District 4
State House District 4
South Dakota
0%10%20%30%40%50%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma232.150762%38.496767%32.150762%32.2%5,08460.330108%52.689696%60.330108%60.3%9,5407.519130%8.813537%7.519130%7.5%1,189
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 South Dakota at large.
Scope: population of South Dakota and State House District 4
-10%0%+10%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-16.484514%-16.484514%-16.5%32.151%32.2%38.497%38.5%14.500770%14.500770%+14.5%60.330%60.3%52.690%52.7%-14.686578%-14.686578%-14.7%7.519%7.52%8.814%8.81%
% percentage with given level in State House District 4
ref. percentage with given level in South Dakota
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 South Dakota and State House District 4
State House District 4
South Dakota
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.594448%1.153099%0.594448%0.6%940.303548%1.361153%0.303548%0.3%482.795169%5.574870%2.795169%2.8%44216.638209%19.361214%16.638209%16.6%2,63111.819389%11.046431%11.819389%11.8%1,86920.135332%21.854804%20.135332%20.1%3,18440.194776%30.834892%40.194776%40.2%6,3563.712136%5.163973%3.712136%3.7%5873.484475%3.038519%3.484475%3.5%5510.322519%0.611046%0.322519%0.3%51
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 South Dakota at large.
Scope: population of South Dakota and State House District 4
-50%0%+50%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-48.447833%-48.447833%-48.4%0.594%0.59%1.153%1.15%-77.699220%-77.699220%-77.7%0.304%0.30%1.361%1.36%-49.861276%-49.861276%-49.9%2.795%2.80%5.575%5.57%-14.064226%-14.064226%-14.1%16.638%16.6%19.361%19.4%6.997354%6.997354%+7.0%11.819%11.8%11.046%11.0%-7.867710%-7.867710%-7.9%20.135%20.1%21.855%21.9%30.354848%30.354848%+30.4%40.195%40.2%30.835%30.8%-28.114731%-28.114731%-28.1%3.712%3.71%5.164%5.16%14.676761%14.676761%+14.7%3.484%3.48%3.039%3.04%-47.218427%-47.218427%-47.2%0.323%0.32%0.611%0.61%
% percentage with given level in State House District 4
ref. percentage with given level in South Dakota
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 South Dakota and State House District 4
More Females More Males
South Dakota
State House District 4
0%50%100%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-13.364407%-11.440606%-13.364407%13%34.252%34.3%30.214%30.2%-2.850706%-2.850706%3%4.342895%61.213%61.2%59.516%59.5%126.443349%24.488820%126.443349%126%4.535%4.54%10.270%10.3%
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 South Dakota and State House District 4
More Females More Males
South Dakota
State House District 4
0%100%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None4.755933%66.034744%4.755933%5%0.580%0.58%0.608%0.61%40.703759%65.400121%40.703759%41%0.250%0.25%0.352%0.35%-76.921242%-30.859159%-76.921242%77%3.612%3.61%2.042%2.04%-13.109439%-15.643084%-13.109439%13%17.706%17.7%15.654%15.7%-4.713063%-10.617358%-4.713063%5%12.103%12.1%11.558%11.6%-25.053228%-8.134845%-25.053228%25%22.479%22.5%17.975%18.0%7.246115%13.672207%7.246115%7%38.734%38.7%41.541%41.5%135.770687%26.248786%135.770687%136%2.175%2.18%5.129%5.13%113.803073%29.328538%113.803073%114%2.189%2.19%4.679%4.68%-9.020635%169.464493%169.464493%169%0.171%0.17%0.462%0.46%
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 South Dakota and State House District 4
State House District 4
South Dakota
0%5%10%15%20%25%B.X.Total65+45-6435-4425-349.436913%13.730468%9.436913%9.4%3623,83614.736997%18.939283%14.736997%14.7%1,0036,80626.934524%22.716579%26.934524%26.9%7242,68821.828433%23.787833%21.828433%21.8%5422,483
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 South Dakota at large.
Scope: population of South Dakota and State House District 4
30%20%10%0%10%%ref.65+45-6435-4425-34-31.270269%-31.270269%31.3%9.437%9.44%13.730%13.7%-22.188202%-22.188202%22.2%14.737%14.7%18.939%18.9%18.567692%18.567692%18.6%26.935%26.9%22.717%22.7%-8.236981%-8.236981%8.2%21.828%21.8%23.788%23.8%
% percentage in State House District 4 with a Bachelor's degree
ref percentage in South Dakota 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 South Dakota and State House District 4
More Females More Males
South Dakota
State House District 4
100%50%0%50%FM65+45-6435-4425-3491.380958%19.642769%91.380958%91.4%6.549%6.55%12.534%12.5%-19.354181%-18.101107%-19.354181%19.4%16.088%16.1%13.479%13.5%-7.931545%-31.977233%-7.931545%7.9%28.035%28.0%25.975%26.0%-113.449812%-34.150844%-113.449812%113.4%31.332%31.3%14.679%14.7%
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 South Dakota and State House District 4
State House District 4
South Dakota
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$57,305.000000$51,628.000000$57,305.000000$57.3k5843.693%3.69%$40,464.000000$40,871.000000$40,464.000000$40.5k2,63116.638%16.6%$33,813.000000$32,390.000000$33,813.000000$33.8k5,05331.955%32.0%$31,838.000000$28,476.000000$31,838.000000$31.8k6,35640.195%40.2%$26,042.000000$21,966.000000$26,042.000000$26.0k1,1897.519%7.52%$34,802.000000$33,634.000000$34,802.000000$34.8k15,81315.8k100.000%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 South Dakota and State House District 4
Female Male
South Dakota
State House District 4
Shaded bar tips show excess over facing bar.
$50k$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-57,143.000000$-46,434.000000$-57,143.000000$57.1k$57,143.000000$982.000000$46,434.000000$13,919.000000$58,125.000000$58.1k337247$-32,822.000000$-35,146.000000$-32,822.000000$32.8k$32,822.000000$16,625.000000$35,146.000000$15,358.000000$49,447.000000$49.4k1,3431,288$-24,750.000000$-26,605.000000$-24,750.000000$24.8k$24,750.000000$17,411.000000$26,605.000000$14,085.000000$42,161.000000$42.2k2,6232,430$-23,165.000000$-22,122.000000$-23,165.000000$23.2k$23,165.000000$17,460.000000$22,122.000000$12,398.000000$40,625.000000$40.6k2,9383,418$-17,614.000000$-15,342.000000$-17,614.000000$17.6k$17,614.000000$11,886.000000$15,342.000000$10,851.000000$29,500.000000$29.5k344845$-26,022.000000$-27,891.000000$-26,022.000000$26.0k$26,022.000000$15,885.000000$27,891.000000$12,482.000000$41,907.000000$41.9k7,5858,228
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 South Dakota and State House District 4
State House District 4
South Dakota
0%10%20%30%40%50%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma342.857143%31.710286%42.857143%42.9%30.000000%0.000000%0.0%63.055386%057.142857%4.930006%57.142857%57.1%40.000000%0.000000%0.0%0.304321%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 South Dakota and State House District 4
State House District 4
South Dakota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.303371%87.531563%87.303371%87.3%2,33185.569498%81.358494%85.569498%85.6%3,54684.538545%76.838929%84.538545%84.5%3,89371.505376%57.693088%71.505376%71.5%399
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 South Dakota and State House District 4
Female Male
South Dakota
State House District 4
Shaded bar tips show excess over facing bar.
20%0%20%40%60%MFWhite1BlackAsianHispanic2Other1-4.592046%-5.854842%-4.592046%4.6%4.592046%5.495729%5.854842%2.038878%10.087775%10.1%793336-0.000000%-18.732724%-12.182582%0.000000%0.0%0.000000%60.000000%18.732724%60.000000%60.0%120-0.000000%-27.473684%-0.281536%0.000000%0.0%0.000000%0.000000%27.473684%0.000000%0.0%00-4.838710%-26.629041%-4.838710%4.8%4.838710%9.312234%26.629041%3.819203%14.150943%14.2%306-6.837607%-20.590618%-6.837607%6.8%6.837607%1.804368%20.590618%1.562078%8.641975%8.6%148
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 South Dakota and State House District 4
Female Male
South Dakota
State House District 4
Shaded bar tips show excess over facing bar.
0%50%100%MFWhite1BlackAsianHispanic2Other1-18.267396%-4.351164%-27.562779%-3.019821%-22.618560%22.6%18.267396%27.562779%18.267396%18.3%1,4361,655-0.000000%-18.951766%0.000000%0.0%0.000000%0.000000%18.951766%1.715893%0.000000%0.0%00-0.000000%-39.356148%0.000000%0.0%0.000000%100.000000%39.356148%4.573676%100.000000%100.0%50-9.677419%-15.331808%-2.010419%-9.677419%9.7%9.677419%33.247109%15.331808%42.924528%42.9%9112-1.851852%-9.259259%-9.360826%-4.310890%-11.111111%11.1%1.851852%9.360826%1.851852%1.9%313
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by County in State House District 4

Coarse: Post-Secondary Degree Educational Attainment by County#16

Percentage of the population 25 years and older with given highest level of educational attainment
26.4%31.2%36.0%40.7%45.5%50.3%

Coarse: High School Diploma Educational Attainment by County#17

Percentage of the population 25 years and older with given highest level of educational attainment
45.4%49.1%52.7%56.4%60.0%63.7%

Coarse: No High School Diploma Educational Attainment by County#18

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%5.4%6.5%7.6%8.7%9.9%

Detailed: Doctorate Degree Educational Attainment by County#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.7%2.5%3.3%4.1%

Detailed: Professional Degree Educational Attainment by County#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.19%0.33%0.47%0.61%0.75%0.89%

Detailed: Master's Degree Educational Attainment by County#21

Percentage of the population 25 years and older with given highest level of educational attainment
1.3%2.9%4.5%6.0%7.6%9.2%

Detailed: Bachelor's Degree Educational Attainment by County#22

Percentage of the population 25 years and older with given highest level of educational attainment
13.0%15.8%18.6%21.3%24.1%26.9%

Detailed: Associate's Degree Educational Attainment by County#23

Percentage of the population 25 years and older with given highest level of educational attainment
9.3%9.9%10.6%11.2%11.8%12.5%

Detailed: Some College Educational Attainment by County#24

Percentage of the population 25 years and older with given highest level of educational attainment
18.95%19.30%19.65%20.00%20.35%20.70%

Detailed: High School Diploma or Equivalent Educational Attainment by County#25

Percentage of the population 25 years and older with given highest level of educational attainment
26.4%29.9%33.3%36.7%40.1%43.6%

Detailed: Some High School Educational Attainment by County#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.6%3.1%3.7%4.2%4.7%5.2%

Detailed: Less than High School Educational Attainment by County#27

Percentage of the population 25 years and older with given highest level of educational attainment
1.4%2.1%2.7%3.4%4.0%4.7%

Detailed: None Educational Attainment by County#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.03%0.20%0.35%0.51%0.67%0.83%
Road Data ©OpenStreetMap

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Map of Educational Attainment by County Subdivision in State House District 4

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#29

Percentage of the population 25 years and older with given highest level of educational attainment
0%14%28%42%56%71%

Coarse: High School Diploma Educational Attainment by County Subdivision#30

Percentage of the population 25 years and older with given highest level of educational attainment
28%41%54%66%78%91%

Coarse: No High School Diploma Educational Attainment by County Subdivision#31

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%13%19%25%32%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#32

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.2%4.3%6.5%8.6%10.9%

Detailed: Professional Degree Educational Attainment by County Subdivision#33

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.8%1.7%2.5%3.4%4.3%

Detailed: Master's Degree Educational Attainment by County Subdivision#34

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.8%7.6%11.4%15.2%19.1%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#35

Percentage of the population 25 years and older with given highest level of educational attainment
0%12%25%37%50%63%

Detailed: Associate's Degree Educational Attainment by County Subdivision#36

Percentage of the population 25 years and older with given highest level of educational attainment
0%7%14%21%28%35%

Detailed: Some College Educational Attainment by County Subdivision#37

Percentage of the population 25 years and older with given highest level of educational attainment
0%11%22%33%44%56%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#38

Percentage of the population 25 years and older with given highest level of educational attainment
11%25%40%54%68%82%

Detailed: Some High School Educational Attainment by County Subdivision#39

Percentage of the population 25 years and older with given highest level of educational attainment
0%6%12%18%23%30%

Detailed: Less than High School Educational Attainment by County Subdivision#40

Percentage of the population 25 years and older with given highest level of educational attainment
0%5%10%15%20%26%

Detailed: None Educational Attainment by County Subdivision#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.1%2.2%3.4%4.5%5.6%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in State House District 4

Coarse: Post-Secondary Degree Educational Attainment by Tract#42

Percentage of the population 25 years and older with given highest level of educational attainment
24%31%38%44%51%58%

Coarse: High School Diploma Educational Attainment by Tract#43

Percentage of the population 25 years and older with given highest level of educational attainment
37%43%49%54%60%66%

Coarse: No High School Diploma Educational Attainment by Tract#44

Percentage of the population 25 years and older with given highest level of educational attainment
4.5%5.8%7.1%8.3%9.6%10.9%

Detailed: Doctorate Degree Educational Attainment by Tract#45

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.3%4.6%6.9%9.2%11.6%

Detailed: Professional Degree Educational Attainment by Tract#46

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.31%0.62%0.93%1.24%1.56%

Detailed: Master's Degree Educational Attainment by Tract#47

Percentage of the population 25 years and older with given highest level of educational attainment
0.7%3.0%5.3%7.5%9.8%12.1%

Detailed: Bachelor's Degree Educational Attainment by Tract#48

Percentage of the population 25 years and older with given highest level of educational attainment
10.6%15.0%19.3%23.7%28.0%32.4%

Detailed: Associate's Degree Educational Attainment by Tract#49

Percentage of the population 25 years and older with given highest level of educational attainment
7.7%9.2%10.7%12.2%13.7%15.2%

Detailed: Some College Educational Attainment by Tract#50

Percentage of the population 25 years and older with given highest level of educational attainment
13.9%15.8%17.6%19.5%21.3%23.2%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#51

Percentage of the population 25 years and older with given highest level of educational attainment
19%25%30%35%41%46%

Detailed: Some High School Educational Attainment by Tract#52

Percentage of the population 25 years and older with given highest level of educational attainment
2.8%3.5%4.0%4.6%5.2%5.8%

Detailed: Less than High School Educational Attainment by Tract#53

Percentage of the population 25 years and older with given highest level of educational attainment
1.4%2.3%3.2%4.0%4.9%5.8%

Detailed: None Educational Attainment by Tract#54

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.23%0.47%0.70%0.93%1.17%
Road Data ©OpenStreetMap

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Educational Attainment by Place in State House District 4

There are 33 places that are fully or partially contained within State House District 4 (29 fully and 4 partially). This section compares all 33 of those to each other, State House District 4, and other entities that contain or substantially overlap with State House District 4.

No H.S. Diploma by Place#55

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State House District 4, selected places in State House District 4, and entities that contain State House District 4
0%10%20%Count#AltamontMarvinAlbeeTwin BrooksRevilloStrandburgBrandtArlingtonUnited States of AmericaUnited StatesGarySinaiClear LakeGoodwinMidwestMilbankAstoriaBig Stone CityWest North CentralBruceSouth DakotaLa BoltElktonWatertownState House District 4SD-4South ShoreKranzburgHenryWhiteStockholmVolgaBrookingsLake PoinsettAuroraFlorenceTorontoWallaceBushnellWaverly29.166667%29.166667%29.2%7121.739130%21.739130%21.7%5220.000000%20.000000%20.0%1315.909091%15.909091%15.9%7415.254237%15.254237%15.3%9515.217391%15.217391%15.2%7614.814815%14.814815%14.8%8714.223512%14.223512%14.2%98813.020590%13.020590%13.0%27,818,38027.8M12.935323%12.935323%12.9%26912.307692%12.307692%12.3%81011.991435%11.991435%12.0%1121111.340206%11.340206%11.3%111210.244520%10.244520%10.2%4,641,8354.64M10.160920%10.160920%10.2%2211310.000000%10.000000%10.0%10149.438202%9.438202%9.4%42159.174633%9.174633%9.2%1,278,0511.28M8.823529%8.823529%8.8%9168.813537%8.813537%8.8%49,05549.1k8.571429%8.571429%8.6%6178.149780%8.149780%8.1%37188.084058%8.084058%8.1%1,181197.519130%7.519130%7.5%1,1896.962025%6.962025%7.0%11206.896552%6.896552%6.9%8216.829268%6.829268%6.8%14226.012658%6.012658%6.0%19235.714286%5.714286%5.7%4244.718693%4.718693%4.7%52253.850760%3.850760%3.9%418263.561644%3.561644%3.6%13273.296703%3.296703%3.3%15283.004292%3.004292%3.0%7292.877698%2.877698%2.9%4300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%033
Count number of people in category
# rank of place out of 33 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#56

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State House District 4, selected places in State House District 4, and entities that contain State House District 4
0%10%20%30%40%Count#BrookingsLake PoinsettWaverlyVolgaUnited States of AmericaUnited StatesWest North CentralBushnellAuroraMidwestSouth DakotaSinaiRevilloWhiteBrandtSouth ShoreArlingtonWatertownState House District 4SD-4La BoltClear LakeTorontoElktonWallaceStockholmBruceGaryGoodwinFlorenceMilbankAstoriaBig Stone CityKranzburgHenryTwin BrooksStrandburgAltamontMarvinAlbee47.250115%47.250115%47.3%5,129136.712329%36.712329%36.7%134233.333333%33.333333%33.3%3332.940109%32.940109%32.9%363430.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.230769%29.230769%29.2%19529.010989%29.010989%29.0%132628.952816%28.952816%29.0%13,118,64213.1M27.450336%27.450336%27.5%152,785153k26.153846%26.153846%26.2%17725.423729%25.423729%25.4%15825.316456%25.316456%25.3%80924.074074%24.074074%24.1%131024.050633%24.050633%24.1%381122.496372%22.496372%22.5%1551220.898077%20.898077%20.9%3,0531320.331373%20.331373%20.3%3,21520.000000%20.000000%20.0%141418.522484%18.522484%18.5%1731517.266187%17.266187%17.3%241616.740088%16.740088%16.7%761716.393443%16.393443%16.4%101815.714286%15.714286%15.7%111915.686275%15.686275%15.7%162013.930348%13.930348%13.9%282113.402062%13.402062%13.4%132213.304721%13.304721%13.3%312312.413793%12.413793%12.4%2702411.000000%11.000000%11.0%11259.662921%9.662921%9.7%43268.620690%8.620690%8.6%10277.317073%7.317073%7.3%15282.272727%2.272727%2.3%1290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%033
Count number of people in category
# rank of place out of 33 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#57

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State House District 4, selected places in State House District 4, and entities that contain State House District 4
0%2%4%6%Count#BrookingsUnited States of AmericaUnited StatesWhiteSinaiWest North CentralMidwestStockholmLake PoinsettClear LakeSouth DakotaAstoriaWatertownState House District 4SD-4VolgaGaryMilbankElktonAuroraArlingtonBig Stone CityFlorenceHenryTorontoSouth ShoreKranzburgBruceGoodwinWallaceLa BoltBushnellRevilloBrandtStrandburgTwin BrooksAltamontMarvinWaverlyAlbee6.927683%6.927683%6.9%75213.336158%3.336158%3.3%7,127,6737.13M3.164557%3.164557%3.2%1023.076923%3.076923%3.1%232.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.857143%2.857143%2.9%242.739726%2.739726%2.7%1052.676660%2.676660%2.7%2562.514252%2.514252%2.5%13,99414.0k2.000000%2.000000%2.0%270.937778%0.937778%0.9%13780.897995%0.897995%0.9%1420.816697%0.816697%0.8%990.497512%0.497512%0.5%1100.459770%0.459770%0.5%10110.440529%0.440529%0.4%2120.439560%0.439560%0.4%2130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%033
Count number of people in category
# rank of place out of 33 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Under-Education Sex Ratio by Place#58

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 State House District 4, selected places in State House District 4, and entities that contain State House District 4
Female
Male
0x5x10xFM#GoodwinBrandtAltamontMarvinAlbeeSouth ShoreAuroraAstoriaFlorenceElktonBig Stone CitySD-4Twin BrooksArlingtonHenryLa BoltClear LakeBruceMilbankGaryStrandburgWatertownRevilloSouth DakotaVolgaWest North CentralMidwestUnited StatesWhiteSinaiBrookingsLake PoinsettKranzburgTorontoStockholm-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%20.370%20.4%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%24.242%24.2%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%35.000%35.0%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%55.556%55.6%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%50.000%50.0%5-1.000000x-1.000000x5.959596x5.959596x5.96x1.695%1.69%10.101%10.1%6-1.000000x-1.000000x5.721074x5.721074x5.72x0.939%0.94%5.372%5.37%7-1.000000x-1.000000x4.333333x4.333333x4.33x3.846%3.85%16.667%16.7%8-1.000000x-1.000000x2.609649x2.609649x2.61x1.681%1.68%4.386%4.39%9-1.000000x-1.000000x2.585377x2.585377x2.59x4.233%4.23%10.943%10.9%10-1.000000x-1.000000x2.281469x2.281469x2.28x5.778%5.78%13.182%13.2%11-1.000000x-1.000000x2.264433x2.264433x2.26x4.535%4.54%10.270%10.3%-1.000000x-1.000000x1.900000x1.900000x1.90x10.526%10.5%20.000%20.0%12-1.000000x-1.000000x1.891071x1.891071x1.89x9.915%9.92%18.750%18.8%13-1.000000x-1.000000x1.714286x1.714286x1.71x5.000%5.00%8.571%8.57%14-1.000000x-1.000000x1.684211x1.684211x1.68x6.250%6.25%10.526%10.5%15-1.000000x-1.000000x1.652975x1.652975x1.65x9.200%9.20%15.207%15.2%16-1.000000x-1.000000x1.647727x1.647727x1.65x6.897%6.90%11.364%11.4%17-1.000000x-1.000000x1.413342x1.413342x1.41x8.453%8.45%11.947%11.9%18-1.000000x-1.000000x1.382246x1.382246x1.38x11.009%11.0%15.217%15.2%19-1.000000x-1.000000x1.333333x1.333333x1.33x12.500%12.5%16.667%16.7%20-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%21-1.000000x-1.000000x1.277778x1.277778x1.28x13.043%13.0%16.667%16.7%22-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.229235x1.229235x1.23x4.228%4.23%5.197%5.20%23-1.000000x-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%-1.000000x-1.000000x1.034694x1.034694x1.03x5.917%5.92%6.122%6.12%24-1.166667x-1.166667x1.17x1.000000x1.000000x13.333%13.3%11.429%11.4%25-1.222914x-1.222914x1.22x1.000000x1.000000x4.243%4.24%3.470%3.47%26-1.737143x-1.737143x1.74x1.000000x1.000000x4.571%4.57%2.632%2.63%27-1.981132x-1.981132x1.98x1.000000x1.000000x9.434%9.43%4.762%4.76%28-2.957143x-2.957143x2.96x1.000000x1.000000x4.286%4.29%1.449%1.45%29-3.562500x-3.562500x3.56x1.000000x1.000000x9.375%9.38%2.632%2.63%30
F percentage of females in category
M percentage of males in category
# rank of place out of 30 by male-to-female sex ratio

Over-Education Sex Ratio by Place#59

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 State House District 4, selected places in State House District 4, and entities that contain State House District 4
Female
Male
10x5x0x5x10xFM#MilbankLake PoinsettAstoriaSinaiWatertownClear LakeBrookingsSouth DakotaMidwestWest North CentralUnited StatesVolgaSD-4WhiteAuroraStockholmElktonGary-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.941%0.94%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.263%5.26%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.167%4.17%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%5.714%5.71%4-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%5-1.000000x-1.000000x3.648233x3.648233x3.65x1.200%1.20%4.378%4.38%6-1.000000x-1.000000x2.048101x2.048101x2.05x4.523%4.52%9.264%9.26%7-1.000000x-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-1.000000x1.218638x1.218638x1.22x0.735%0.74%0.896%0.90%8-1.000000x-1.000000x1.155973x1.155973x1.16x0.831%0.83%0.960%0.96%-1.000000x-1.000000x1.149660x1.149660x1.15x2.959%2.96%3.401%3.40%9-1.136150x-1.136150x1.14x1.000000x1.000000x0.469%0.47%0.413%0.41%10-1.187500x-1.187500x1.19x1.000000x1.000000x3.125%3.13%2.632%2.63%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.058%1.06%0.000%0%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.917%0.92%0.000%0%13
F percentage of females in category
M percentage of males in category
# rank of place out of 13 by male-to-female sex ratio

Educational Attainment by Metro Area in State House District 4

There are 2 metro areas that are fully or partially contained within State House District 4 (0 fully and 2 partially). This section compares all 2 of those to each other, State House District 4, and other entities that contain or substantially overlap with State House District 4.

No H.S. Diploma by Metro Area#60

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State House District 4, selected metro areas in State House District 4, and entities that contain State House District 4
0%5%10%Count#United States of AmericaUnited StatesMidwestWest North CentralSouth DakotaWatertown Metro AreaWatertownState House District 4SD-4Brookings Metro AreaBrookings13.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.146234%8.146234%8.1%1,51317.519130%7.519130%7.5%1,1894.326428%4.326428%4.3%7562
Count number of people in category
# rank of metro area out of 2 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Metro Area#61

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State House District 4, selected metro areas in State House District 4, and entities that contain State House District 4
0%10%20%30%40%Count#Brookings Metro AreaBrookingsUnited States of AmericaUnited StatesWest North CentralMidwestSouth DakotaWatertown Metro AreaWatertownState House District 4SD-440.952272%40.952272%41.0%7,156130.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.450336%27.450336%27.5%152,785153k20.938997%20.938997%20.9%3,889220.331373%20.331373%20.3%3,215
Count number of people in category
# rank of metro area out of 2 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Metro Area#62

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State House District 4, selected metro areas in State House District 4, and entities that contain State House District 4
0%1%2%3%4%Count#Brookings Metro AreaBrookingsUnited States of AmericaUnited StatesWest North CentralMidwestSouth DakotaState House District 4SD-4Watertown Metro AreaWatertown4.955935%4.955935%5.0%86613.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.514252%2.514252%2.5%13,99414.0k0.897995%0.897995%0.9%1420.856081%0.856081%0.9%1592
Count number of people in category
# rank of metro area out of 2 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 Metro Area#63

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 State House District 4, selected metro areas in State House District 4, and entities that contain State House District 4
Female
Male
1x0x1x2xFM#SD-4WatertownSouth DakotaBrookingsWest North CentralMidwestUnited States-1.000000x-1.000000x2.264433x2.264433x2.26x4.535%4.54%10.270%10.3%-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%1-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.215741x1.215741x1.22x3.894%3.89%4.734%4.73%2-1.000000x-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%
F percentage of females in category
M percentage of males in category
# rank of metro area out of 2 by male-to-female sex ratio

Over-Education Sex Ratio by Metro Area#64

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 State House District 4, selected metro areas in State House District 4, and entities that contain State House District 4
Female
Male
1x0x1x2x3xFM#WatertownBrookingsSouth DakotaMidwestWest North CentralUnited StatesSD-4-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%1-1.000000x-1.000000x2.002539x2.002539x2.00x3.268%3.27%6.545%6.55%2-1.000000x-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-1.000000x1.155973x1.155973x1.16x0.831%0.83%0.960%0.96%
F percentage of females in category
M percentage of males in category
# rank of metro area out of 2 by male-to-female sex ratio

Educational Attainment by County in State House District 4

There are 4 counties that are fully or partially contained within State House District 4 (2 fully and 2 partially). This section compares all 4 of those to each other, State House District 4, and other entities that contain or substantially overlap with State House District 4.

No H.S. Diploma by County#65

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State House District 4, selected counties in State House District 4, and entities that contain State House District 4
0%5%10%Count#United States of AmericaUnited StatesMidwestGrant CountyGrantWest North CentralSouth DakotaDeuel CountyDeuelCodington CountyCodingtonState House District 4SD-4Brookings CountyBrookings13.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.843137%9.843137%9.8%50219.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.468409%8.468409%8.5%25628.146234%8.146234%8.1%1,51337.519130%7.519130%7.5%1,1894.326428%4.326428%4.3%7564
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County#66

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State House District 4, selected counties in State House District 4, and entities that contain State House District 4
0%10%20%30%40%Count#Brookings CountyBrookingsUnited States of AmericaUnited StatesWest North CentralMidwestSouth DakotaCodington CountyCodingtonState House District 4SD-4Deuel CountyDeuelGrant CountyGrant40.952272%40.952272%41.0%7,156130.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.450336%27.450336%27.5%152,785153k20.938997%20.938997%20.9%3,889220.331373%20.331373%20.3%3,21519.781674%19.781674%19.8%598314.607843%14.607843%14.6%7454
Count number of people in category
# rank of county out of 4 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County#67

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State House District 4, selected counties in State House District 4, and entities that contain State House District 4
0%1%2%3%4%Count#Brookings CountyBrookingsUnited States of AmericaUnited StatesWest North CentralMidwestSouth DakotaDeuel CountyDeuelState House District 4SD-4Codington CountyCodingtonGrant CountyGrant4.955935%4.955935%5.0%86613.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.514252%2.514252%2.5%13,99414.0k1.389348%1.389348%1.4%4220.897995%0.897995%0.9%1420.856081%0.856081%0.9%15930.235294%0.235294%0.2%124
Count number of people in category
# rank of county out of 4 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#68

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 State House District 4, selected counties in State House District 4, and entities that contain State House District 4
Female
Male
1x0x1x2xFM#SD-4DeuelGrantCodingtonSouth DakotaBrookingsWest North CentralMidwestUnited States-1.000000x-1.000000x2.264433x2.264433x2.26x4.535%4.54%10.270%10.3%-1.000000x-1.000000x2.162949x2.162949x2.16x5.303%5.30%11.469%11.5%1-1.000000x-1.000000x2.098765x2.098765x2.10x6.353%6.35%13.333%13.3%2-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%3-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.215741x1.215741x1.22x3.894%3.89%4.734%4.73%4-1.000000x-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%
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Over-Education Sex Ratio by County#69

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 State House District 4, selected counties in State House District 4, and entities that contain State House District 4
Female
Male
0x5x10xFM#GrantCodingtonBrookingsSouth DakotaMidwestWest North CentralUnited StatesSD-4Deuel-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.039%0.04%0.431%0.43%1-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%2-1.000000x-1.000000x2.002539x2.002539x2.00x3.268%3.27%6.545%6.55%3-1.000000x-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-1.000000x1.155973x1.155973x1.16x0.831%0.83%0.960%0.96%-1.055065x-1.055065x1.06x1.000000x1.000000x1.428%1.43%1.353%1.35%4
F percentage of females in category
M percentage of males in category
# rank of county out of 4 by male-to-female sex ratio

Educational Attainment by County Subdivision in State House District 4

There are 99 county subdivisions that are fully or partially contained within State House District 4 (95 fully and 4 partially). This section compares the 50 most populous of those to each other, State House District 4, and other entities that contain or substantially overlap with State House District 4. The least populous of the compared county subdivisions has a population of 143.

No H.S. Diploma by County Subdivision#70

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State House District 4, selected county subdivisions in State House District 4, and entities that contain State House District 4
0%10%20%30%Count#Germantown TownshipGermantownSherman TownshipShermanRichland TownshipRichlandWaverly TownshipWaverlyAlban TownshipAlbanUnited States of AmericaUnited StatesGaryTwin Brooks TownshipTwin BrooksClear LakeVernon TownshipVernonAlton TownshipAltonMidwestMilbankBig Stone TownshipBig StoneKranzburg TownshipKranzburgBig Stone CityScandinavia TownshipScandinaviaWest North CentralGrange TownshipGrangeBruceSouth DakotaFuller TownshipFullerElktonWatertownOslo TownshipState House District 4SD-4Town of South ShoreS ShrTown of KranzburgKranzburgLaketon TownshipLaketonTown of HenryAfton TownshipAftonWhiteAurora TownshipAuroraGrant Center TownshipGrant CtrVolgaMelrose TownshipMelrosePreston TownshipPrestonBrookingsTown of AuroraAuroraTown of FlorenceFlorenceTown of TorontoTorontoRauville TownshipRauvilleLake TownshipKampeska TownshipKampeskaNorden TownshipNordenTrenton TownshipTrentonSterling TownshipSterlingDexter TownshipDexterBangor TownshipBangorClear Lake TownshipClear LkEureka TownshipEurekaVolga TownshipVolgaLake Sinai TownshipLk SinaiLake Hendricks TownshipLk HendricksHenry TownshipHenry31.788079%31.788079%31.8%48116.901408%16.901408%16.9%12216.528926%16.528926%16.5%20315.625000%15.625000%15.6%15413.822894%13.822894%13.8%64513.020590%13.020590%13.0%27,818,38027.8M12.935323%12.935323%12.9%26612.307692%12.307692%12.3%16711.991435%11.991435%12.0%112811.570248%11.570248%11.6%14910.743802%10.743802%10.7%261010.244520%10.244520%10.2%4,641,8354.64M10.160920%10.160920%10.2%2211110.087719%10.087719%10.1%23129.448819%9.448819%9.4%24139.438202%9.438202%9.4%42149.195402%9.195402%9.2%16159.174633%9.174633%9.2%1,278,0511.28M9.090909%9.090909%9.1%8168.823529%8.823529%8.8%9178.813537%8.813537%8.8%49,05549.1k8.176101%8.176101%8.2%13188.149780%8.149780%8.1%37198.084058%8.084058%8.1%1,181208.064516%8.064516%8.1%10217.519130%7.519130%7.5%1,1896.962025%6.962025%7.0%11226.896552%6.896552%6.9%8236.837607%6.837607%6.8%8246.829268%6.829268%6.8%14256.521739%6.521739%6.5%9266.012658%6.012658%6.0%19275.594406%5.594406%5.6%8285.240175%5.240175%5.2%12294.718693%4.718693%4.7%52304.365079%4.365079%4.4%11314.166667%4.166667%4.2%7323.850760%3.850760%3.9%418333.296703%3.296703%3.3%15343.004292%3.004292%3.0%7352.877698%2.877698%2.9%4362.424242%2.424242%2.4%4372.375810%2.375810%2.4%11382.030457%2.030457%2.0%4391.941748%1.941748%1.9%6401.190476%1.190476%1.2%2410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%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 without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#71

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State House District 4, selected county subdivisions in State House District 4, and entities that contain State House District 4
0%10%20%30%40%50%Count#Grange TownshipGrangeLake Hendricks TownshipLk HendricksBrookingsTrenton TownshipTrentonSterling TownshipSterlingLake TownshipAurora TownshipAuroraVolga TownshipVolgaWaverly TownshipWaverlyVolgaPreston TownshipPrestonUnited States of AmericaUnited StatesWest North CentralScandinavia TownshipScandinaviaTown of AuroraAuroraMidwestSouth DakotaAlton TownshipAltonSherman TownshipShermanWhiteOslo TownshipTown of South ShoreS ShrKampeska TownshipKampeskaAlban TownshipAlbanAfton TownshipAftonTwin Brooks TownshipTwin BrooksMelrose TownshipMelroseWatertownNorden TownshipNordenState House District 4SD-4Eureka TownshipEurekaClear LakeTown of TorontoTorontoLaketon TownshipLaketonElktonDexter TownshipDexterGrant Center TownshipGrant CtrFuller TownshipFullerBruceVernon TownshipVernonGaryKranzburg TownshipKranzburgTown of FlorenceFlorenceRichland TownshipRichlandMilbankBangor TownshipBangorBig Stone TownshipBig StoneRauville TownshipRauvilleBig Stone CityLake Sinai TownshipLk SinaiTown of KranzburgKranzburgTown of HenryHenry TownshipHenryClear Lake TownshipClear LkGermantown TownshipGermantown51.136364%51.136364%51.1%45150.000000%50.000000%50.0%69247.250115%47.250115%47.3%5,129347.023810%47.023810%47.0%79445.108696%45.108696%45.1%83541.900648%41.900648%41.9%194637.762238%37.762238%37.8%54736.627907%36.627907%36.6%63836.458333%36.458333%36.5%35932.940109%32.940109%32.9%3631032.142857%32.142857%32.1%541130.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.885057%29.885057%29.9%521229.010989%29.010989%29.0%1321328.952816%28.952816%29.0%13,118,64213.1M27.450336%27.450336%27.5%152,785153k26.033058%26.033058%26.0%631425.352113%25.352113%25.4%181525.316456%25.316456%25.3%801624.193548%24.193548%24.2%301724.050633%24.050633%24.1%381823.857868%23.857868%23.9%471923.326134%23.326134%23.3%1082023.188406%23.188406%23.2%322123.076923%23.076923%23.1%302222.619048%22.619048%22.6%572320.898077%20.898077%20.9%3,0532420.711974%20.711974%20.7%642520.331373%20.331373%20.3%3,21519.587629%19.587629%19.6%192618.522484%18.522484%18.5%1732717.266187%17.266187%17.3%242817.094017%17.094017%17.1%202916.740088%16.740088%16.7%763016.339869%16.339869%16.3%253116.157205%16.157205%16.2%373215.723270%15.723270%15.7%253315.686275%15.686275%15.7%163414.049587%14.049587%14.0%173513.930348%13.930348%13.9%283613.779528%13.779528%13.8%353713.304721%13.304721%13.3%313813.223140%13.223140%13.2%163912.413793%12.413793%12.4%2704011.946903%11.946903%11.9%274110.964912%10.964912%11.0%254210.909091%10.909091%10.9%18439.662921%9.662921%9.7%43449.042553%9.042553%9.0%17458.620690%8.620690%8.6%10467.317073%7.317073%7.3%15476.329114%6.329114%6.3%5484.819277%4.819277%4.8%8491.324503%1.324503%1.3%250
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#72

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State House District 4, selected county subdivisions in State House District 4, and entities that contain State House District 4
0%5%10%Count#Grange TownshipGrangeSterling TownshipSterlingBrookingsSherman TownshipShermanUnited States of AmericaUnited StatesWhiteEureka TownshipEurekaKampeska TownshipKampeskaWest North CentralMidwestAlton TownshipAltonClear LakeSouth DakotaLake Hendricks TownshipLk HendricksClear Lake TownshipClear LkWatertownState House District 4SD-4VolgaGaryMilbankElktonTown of AuroraAuroraLake TownshipAlban TownshipAlbanBig Stone CityKranzburg TownshipKranzburgNorden TownshipNordenMelrose TownshipMelroseGrant Center TownshipGrant CtrTown of FlorenceFlorenceTown of HenryScandinavia TownshipScandinaviaAurora TownshipAuroraDexter TownshipDexterBangor TownshipBangorBig Stone TownshipBig StoneAfton TownshipAftonRauville TownshipRauvilleFuller TownshipFullerPreston TownshipPrestonTrenton TownshipTrentonTown of TorontoTorontoRichland TownshipRichlandTown of South ShoreS ShrTwin Brooks TownshipTwin BrooksGermantown TownshipGermantownVolga TownshipVolgaLake Sinai TownshipLk SinaiVernon TownshipVernonOslo TownshipWaverly TownshipWaverlyTown of KranzburgKranzburgBruceLaketon TownshipLaketonHenry TownshipHenry12.500000%12.500000%12.5%1117.065217%7.065217%7.1%1326.927683%6.927683%6.9%75234.225352%4.225352%4.2%343.336158%3.336158%3.3%7,127,6737.13M3.164557%3.164557%3.2%1053.092784%3.092784%3.1%363.045685%3.045685%3.0%672.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.892562%2.892562%2.9%782.676660%2.676660%2.7%2592.514252%2.514252%2.5%13,99414.0k2.173913%2.173913%2.2%3101.807229%1.807229%1.8%3110.937778%0.937778%0.9%137120.897995%0.897995%0.9%1420.816697%0.816697%0.8%9130.497512%0.497512%0.5%1140.459770%0.459770%0.5%10150.440529%0.440529%0.4%2160.439560%0.439560%0.4%2170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%0230.000000%0.000000%0.0%0240.000000%0.000000%0.0%0250.000000%0.000000%0.0%0260.000000%0.000000%0.0%0270.000000%0.000000%0.0%0280.000000%0.000000%0.0%0290.000000%0.000000%0.0%0300.000000%0.000000%0.0%0310.000000%0.000000%0.0%0320.000000%0.000000%0.0%0330.000000%0.000000%0.0%0340.000000%0.000000%0.0%0350.000000%0.000000%0.0%0360.000000%0.000000%0.0%0370.000000%0.000000%0.0%0380.000000%0.000000%0.0%0390.000000%0.000000%0.0%0400.000000%0.000000%0.0%0410.000000%0.000000%0.0%0420.000000%0.000000%0.0%0430.000000%0.000000%0.0%0440.000000%0.000000%0.0%0450.000000%0.000000%0.0%0460.000000%0.000000%0.0%0470.000000%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#73

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 State House District 4, selected county subdivisions in State House District 4, and entities that contain State House District 4
Female
Male
10x5x0x5x10xFM#AlbanKranzburgNordenMelroseAltonAuroraKampeskaRauvillePrestonTrentonOslo TownshipWaverlyBig StoneS ShrGermantownAuroraRichlandFlorenceElktonBig Stone CitySD-4AftonGrant CtrTown of HenryClear LakeBruceTwin BrooksMilbankGaryWatertownSouth DakotaScandinaviaVolgaWest North CentralMidwestVernonUnited StatesWhiteShermanGrangeLaketonBrookingsFullerKranzburgTorontoLake Township-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%26.122%26.1%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.094%15.1%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.488%3.49%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%9.821%9.82%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%18.571%18.6%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%10.811%10.8%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.810%3.81%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.301%4.30%8-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.692%7.69%9-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.273%2.27%10-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%16.129%16.1%11-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%29.412%29.4%12-1.000000x-1.000000x10.000000x10.000000x> 10.0x1.770%1.77%18.261%18.3%13-1.000000x-1.000000x5.959596x5.959596x5.96x1.695%1.69%10.101%10.1%14-1.000000x-1.000000x5.780075x5.780075x5.78x9.333%9.33%53.947%53.9%15-1.000000x-1.000000x5.721074x5.721074x5.72x0.939%0.94%5.372%5.37%16-1.000000x-1.000000x4.416667x4.416667x4.42x5.660%5.66%25.000%25.0%17-1.000000x-1.000000x2.609649x2.609649x2.61x1.681%1.68%4.386%4.39%18-1.000000x-1.000000x2.585377x2.585377x2.59x4.233%4.23%10.943%10.9%19-1.000000x-1.000000x2.281469x2.281469x2.28x5.778%5.78%13.182%13.2%20-1.000000x-1.000000x2.264433x2.264433x2.26x4.535%4.54%10.270%10.3%-1.000000x-1.000000x2.181818x2.181818x2.18x4.167%4.17%9.091%9.09%21-1.000000x-1.000000x1.774257x1.774257x1.77x3.906%3.91%6.931%6.93%22-1.000000x-1.000000x1.714286x1.714286x1.71x5.000%5.00%8.571%8.57%23-1.000000x-1.000000x1.652975x1.652975x1.65x9.200%9.20%15.207%15.2%24-1.000000x-1.000000x1.647727x1.647727x1.65x6.897%6.90%11.364%11.4%25-1.000000x-1.000000x1.473430x1.473430x1.47x9.836%9.84%14.493%14.5%26-1.000000x-1.000000x1.413342x1.413342x1.41x8.453%8.45%11.947%11.9%27-1.000000x-1.000000x1.382246x1.382246x1.38x11.009%11.0%15.217%15.2%28-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%29-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.233333x1.233333x1.23x8.108%8.11%10.000%10.0%30-1.000000x-1.000000x1.229235x1.229235x1.23x4.228%4.23%5.197%5.20%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-1.000000x1.122807x1.122807x1.12x10.938%10.9%12.281%12.3%32-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.034694x1.034694x1.03x5.917%5.92%6.122%6.12%33-1.000000x-1.000000x1.024390x1.024390x1.02x16.667%16.7%17.073%17.1%34-1.095238x-1.095238x1.10x1.000000x1.000000x9.524%9.52%8.696%8.70%35-1.207547x-1.207547x1.21x1.000000x1.000000x7.547%7.55%6.250%6.25%36-1.222914x-1.222914x1.22x1.000000x1.000000x4.243%4.24%3.470%3.47%37-1.747368x-1.747368x1.75x1.000000x1.000000x10.526%10.5%6.024%6.02%38-1.981132x-1.981132x1.98x1.000000x1.000000x9.434%9.43%4.762%4.76%39-2.957143x-2.957143x2.96x1.000000x1.000000x4.286%4.29%1.449%1.45%40-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.164%5.16%0.000%0%41
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 41 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#74

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 State House District 4, selected county subdivisions in State House District 4, and entities that contain State House District 4
Female
Male
10x5x0x5x10xFM#MilbankSterlingShermanLk HendricksWatertownClear LakeBrookingsSouth DakotaMidwestWest North CentralUnited StatesVolgaSD-4WhiteAuroraAltonElktonGaryKampeskaClear LkEurekaGrange-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.941%0.94%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%13.000%13.0%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%7.317%7.32%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.918%4.92%4-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%5-1.000000x-1.000000x3.648233x3.648233x3.65x1.200%1.20%4.378%4.38%6-1.000000x-1.000000x2.048101x2.048101x2.05x4.523%4.52%9.264%9.26%7-1.000000x-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-1.000000x1.218638x1.218638x1.22x0.735%0.74%0.896%0.90%8-1.000000x-1.000000x1.155973x1.155973x1.16x0.831%0.83%0.960%0.96%-1.000000x-1.000000x1.149660x1.149660x1.15x2.959%2.96%3.401%3.40%9-1.136150x-1.136150x1.14x1.000000x1.000000x0.469%0.47%0.413%0.41%10-3.431373x-3.431373x3.43x1.000000x1.000000x4.902%4.90%1.429%1.43%11-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.058%1.06%0.000%0%12-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.917%0.92%0.000%0%13-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.522%6.52%0.000%0%14-10.000000x-10.000000x> 10.0x1.000000x1.000000x3.846%3.85%0.000%0%15-10.000000x-10.000000x> 10.0x1.000000x1.000000x8.571%8.57%0.000%0%16-10.000000x-10.000000x> 10.0x1.000000x1.000000x26.190%26.2%0.000%0%17
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 17 by male-to-female sex ratio

Educational Attainment by Lower State Legislative District in South Dakota

There are 37 lower state legislative districts in South Dakota. This section compares State House District 4 to all of the lower state legislative districts in South Dakota and to those entities that contain or substantially overlap with State House District 4.

No H.S. Diploma by Lower State Legislative District#75

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of State House District 4, selected other lower state legislative districts in South Dakota, and entities that contain State House District 4
0%5%10%15%Count#State House District 26ASD-26AState House District 27SD-27State House District 15SD-15State House District 28ASD-28AState House District 22SD-22State House District 26BSD-26BUnited States of AmericaUnited StatesState House District 19SD-19State House District 21SD-21State House District 9SD-9State House District 23SD-23State House District 1SD-1MidwestState House District 32SD-32State House District 20SD-20State House District 10SD-10State House District 16SD-16West North CentralSouth DakotaState House District 35SD-35State House District 24SD-24State House District 5SD-5State House District 3SD-3State House District 18SD-18State House District 28BSD-28BState House District 14SD-14State House District 2SD-2State House District 29SD-29State House District 8SD-8State House District 4SD-4State House District 30SD-30State House District 33SD-33State House District 17SD-17State House District 25SD-25State House District 31SD-31State House District 12SD-12State House District 11SD-11State House District 7SD-7State House District 34SD-34State House District 13SD-13State House District 6SD-619.798111%19.798111%19.8%1,216118.431651%18.431651%18.4%2,334217.328471%17.328471%17.3%2,566316.089466%16.089466%16.1%1,115414.935148%14.935148%14.9%2,349513.958361%13.958361%14.0%1,066613.020590%13.020590%13.0%27,818,38027.8M11.739608%11.739608%11.7%1,816711.681567%11.681567%11.7%1,777811.308505%11.308505%11.3%1,916911.140144%11.140144%11.1%1,7481011.048678%11.048678%11.0%1,8091110.244520%10.244520%10.2%4,641,8354.64M9.944438%9.944438%9.9%1,754129.808438%9.808438%9.8%1,618139.552517%9.552517%9.6%1,537149.332170%9.332170%9.3%1,498159.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.779980%8.779980%8.8%1,435168.668233%8.668233%8.7%1,402178.286299%8.286299%8.3%1,336188.167366%8.167366%8.2%1,382198.147166%8.147166%8.1%1,291208.092696%8.092696%8.1%667217.942623%7.942623%7.9%1,340227.938744%7.938744%7.9%1,296237.703891%7.703891%7.7%1,279247.647543%7.647543%7.6%1,209257.519130%7.519130%7.5%1,189266.454038%6.454038%6.5%1,202276.449069%6.449069%6.4%1,063286.362855%6.362855%6.4%814296.204314%6.204314%6.2%1,044306.010994%6.010994%6.0%1,017315.316505%5.316505%5.3%813324.835845%4.835845%4.8%844334.103319%4.103319%4.1%502343.857927%3.857927%3.9%668353.769985%3.769985%3.8%573363.453290%3.453290%3.5%57037
Count number of people in category
# rank of lower state legislative district out of 37 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Lower State Legislative District#76

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of State House District 4, selected other lower state legislative districts in South Dakota, and entities that contain State House District 4
0%10%20%30%40%Count#State House District 13SD-13State House District 7SD-7State House District 34SD-34State House District 11SD-11State House District 12SD-12State House District 6SD-6State House District 14SD-14State House District 17SD-17State House District 31SD-31State House District 24SD-24State House District 3SD-3United States of AmericaUnited StatesState House District 33SD-33West North CentralMidwestState House District 8SD-8State House District 25SD-25South DakotaState House District 18SD-18State House District 16SD-16State House District 30SD-30State House District 32SD-32State House District 20SD-20State House District 10SD-10State House District 9SD-9State House District 5SD-5State House District 23SD-23State House District 29SD-29State House District 19SD-19State House District 28BSD-28BState House District 2SD-2State House District 22SD-22State House District 4SD-4State House District 26BSD-26BState House District 21SD-21State House District 1SD-1State House District 15SD-15State House District 35SD-35State House District 26ASD-26AState House District 28ASD-28AState House District 27SD-2747.187315%47.187315%47.2%7,172146.354422%46.354422%46.4%5,671242.962749%42.962749%43.0%7,439340.915602%40.915602%40.9%7,141440.302119%40.302119%40.3%6,163537.858960%37.858960%37.9%6,249636.121155%36.121155%36.1%6,094735.824279%35.824279%35.8%4,583831.603523%31.603523%31.6%5,347930.969457%30.969457%31.0%5,0091030.340996%30.340996%30.3%5,1341130.315023%30.315023%30.3%64,767,78764.8M30.140144%30.140144%30.1%4,9681230.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.831678%28.831678%28.8%4,5581328.507755%28.507755%28.5%4,7971427.450336%27.450336%27.5%152,785153k27.331819%27.331819%27.3%4,3311526.812858%26.812858%26.8%4,3041625.885954%25.885954%25.9%4,8211725.853271%25.853271%25.9%4,5601825.187924%25.187924%25.2%4,1551925.015538%25.015538%25.0%4,0252023.278050%23.278050%23.3%3,9442121.720523%21.720523%21.7%3,5022221.706711%21.706711%21.7%3,4062321.196241%21.196241%21.2%3,5192421.132588%21.132588%21.1%3,2692520.965785%20.965785%21.0%1,7282620.961715%20.961715%21.0%3,4222720.879959%20.879959%20.9%3,2842820.331373%20.331373%20.3%3,2152920.007856%20.007856%20.0%1,5283019.221667%19.221667%19.2%2,9243118.689306%18.689306%18.7%3,0603218.530524%18.530524%18.5%2,7443317.419236%17.419236%17.4%2,8473415.385868%15.385868%15.4%9453515.165945%15.165945%15.2%1,0513614.814815%14.814815%14.8%1,87637
Count number of people in category
# rank of lower state legislative district out of 37 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Lower State Legislative District#77

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of State House District 4, selected other lower state legislative districts in South Dakota, and entities that contain State House District 4
0%1%2%3%4%5%6%Count#State House District 17SD-17State House District 7SD-7State House District 13SD-13State House District 34SD-34State House District 14SD-14State House District 12SD-12State House District 6SD-6United States of AmericaUnited StatesState House District 11SD-11State House District 33SD-33State House District 24SD-24West North CentralState House District 18SD-18State House District 16SD-16MidwestState House District 3SD-3State House District 31SD-31State House District 30SD-30South DakotaState House District 8SD-8State House District 32SD-32State House District 25SD-25State House District 15SD-15State House District 23SD-23State House District 21SD-21State House District 26BSD-26BState House District 1SD-1State House District 29SD-29State House District 2SD-2State House District 10SD-10State House District 19SD-19State House District 20SD-20State House District 9SD-9State House District 26ASD-26AState House District 5SD-5State House District 28BSD-28BState House District 4SD-4State House District 22SD-22State House District 35SD-35State House District 27SD-27State House District 28ASD-28A6.636442%6.636442%6.6%84916.441066%6.441066%6.4%78825.908283%5.908283%5.9%89834.989893%4.989893%5.0%86444.498844%4.498844%4.5%75954.074026%4.074026%4.1%62363.532049%3.532049%3.5%58373.336158%3.336158%3.3%7,127,6737.13M3.317481%3.317481%3.3%57983.160832%3.160832%3.2%52193.097564%3.097564%3.1%501102.978981%2.978981%3.0%414,980415k2.934495%2.934495%2.9%465112.927984%2.927984%2.9%470122.893416%2.893416%2.9%1,311,0191.31M2.866261%2.866261%2.9%485132.825226%2.825226%2.8%478142.620275%2.620275%2.6%488152.514252%2.514252%2.5%13,99414.0k2.441647%2.441647%2.4%386162.392562%2.392562%2.4%422172.341475%2.341475%2.3%394181.951648%1.951648%2.0%289191.918297%1.918297%1.9%301201.899816%1.899816%1.9%289211.833181%1.833181%1.8%140221.746778%1.746778%1.7%286231.638357%1.638357%1.6%272241.457887%1.457887%1.5%238251.429459%1.429459%1.4%230261.402806%1.402806%1.4%217271.339719%1.339719%1.3%221281.180428%1.180428%1.2%200291.042006%1.042006%1.0%64300.924146%0.924146%0.9%149310.922106%0.922106%0.9%76320.897995%0.897995%0.9%142330.813835%0.813835%0.8%128340.617964%0.617964%0.6%101350.544895%0.544895%0.5%69360.418470%0.418470%0.4%2937
Count number of people in category
# rank of lower state legislative district out of 37 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 Lower State Legislative District#78

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 State House District 4, selected other lower state legislative districts in South Dakota, and entities that contain State House District 4
Female
Male
1x0x1x2xFM#SD-4SD-12SD-29SD-14SD-8SD-20SD-32SD-1SD-16SD-30SD-28BSD-25SD-19SD-2SD-5SD-23SD-6South DakotaSD-22SD-21SD-26BSD-3West North CentralMidwestUnited StatesSD-35SD-9SD-28ASD-26ASD-17SD-31SD-15SD-27SD-18SD-33SD-7SD-10SD-13SD-24SD-34SD-11-1.000000x-1.000000x2.264433x2.264433x2.26x4.535%4.54%10.270%10.3%1-1.000000x-1.000000x1.908760x1.908760x1.91x3.775%3.78%7.206%7.21%2-1.000000x-1.000000x1.839134x1.839134x1.84x5.415%5.41%9.958%9.96%3-1.000000x-1.000000x1.746049x1.746049x1.75x5.833%5.83%10.185%10.2%4-1.000000x-1.000000x1.705088x1.705088x1.71x5.639%5.64%9.614%9.61%5-1.000000x-1.000000x1.674963x1.674963x1.67x7.380%7.38%12.362%12.4%6-1.000000x-1.000000x1.656766x1.656766x1.66x7.499%7.50%12.424%12.4%7-1.000000x-1.000000x1.578864x1.578864x1.58x8.547%8.55%13.495%13.5%8-1.000000x-1.000000x1.539777x1.539777x1.54x7.310%7.31%11.256%11.3%9-1.000000x-1.000000x1.524986x1.524986x1.52x5.119%5.12%7.807%7.81%10-1.000000x-1.000000x1.493995x1.493995x1.49x6.516%6.52%9.735%9.73%11-1.000000x-1.000000x1.450680x1.450680x1.45x5.045%5.04%7.318%7.32%12-1.000000x-1.000000x1.408083x1.408083x1.41x9.782%9.78%13.774%13.8%13-1.000000x-1.000000x1.373847x1.373847x1.37x6.705%6.71%9.212%9.21%14-1.000000x-1.000000x1.361616x1.361616x1.36x7.051%7.05%9.601%9.60%15-1.000000x-1.000000x1.276624x1.276624x1.28x9.796%9.80%12.506%12.5%16-1.000000x-1.000000x1.259282x1.259282x1.26x3.074%3.07%3.871%3.87%17-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.234414x1.234414x1.23x13.393%13.4%16.533%16.5%18-1.000000x-1.000000x1.216520x1.216520x1.22x10.482%10.5%12.752%12.8%19-1.000000x-1.000000x1.212281x1.212281x1.21x12.624%12.6%15.304%15.3%20-1.000000x-1.000000x1.168964x1.168964x1.17x7.551%7.55%8.826%8.83%21-1.000000x-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%-1.000000x-1.000000x1.106492x1.106492x1.11x8.331%8.33%9.218%9.22%22-1.000000x-1.000000x1.104341x1.104341x1.10x10.744%10.7%11.865%11.9%23-1.000000x-1.000000x1.102845x1.102845x1.10x15.305%15.3%16.879%16.9%24-1.000000x-1.000000x1.092704x1.092704x1.09x18.957%19.0%20.714%20.7%25-1.000000x-1.000000x1.091180x1.091180x1.09x6.084%6.08%6.639%6.64%26-1.000000x-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%27-1.000000x-1.000000x1.035649x1.035649x1.04x16.993%17.0%17.598%17.6%28-1.000000x-1.000000x1.028825x1.028825x1.03x18.183%18.2%18.707%18.7%29-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%30-1.064543x-1.064543x1.06x1.000000x1.000000x6.647%6.65%6.244%6.24%31-1.153799x-1.153799x1.15x1.000000x1.000000x4.401%4.40%3.815%3.81%32-1.255201x-1.255201x1.26x1.000000x1.000000x10.622%10.6%8.462%8.46%33-1.282096x-1.282096x1.28x1.000000x1.000000x4.212%4.21%3.285%3.29%34-1.308661x-1.308661x1.31x1.000000x1.000000x9.798%9.80%7.487%7.49%35-1.465141x-1.465141x1.47x1.000000x1.000000x4.551%4.55%3.106%3.11%36-1.495545x-1.495545x1.50x1.000000x1.000000x5.764%5.76%3.854%3.85%37
F percentage of females in category
M percentage of males in category
# rank of lower state legislative district out of 37 by male-to-female sex ratio

Over-Education Sex Ratio by Lower State Legislative District#79

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 State House District 4, selected other lower state legislative districts in South Dakota, and entities that contain State House District 4
Female
Male
2x0x2x4xFM#SD-5SD-3SD-19SD-30SD-28ASD-14SD-7SD-28BSD-29SD-21SD-11SD-13SD-33SD-34SD-12SD-2SD-25SD-24SD-17SD-32SD-22SD-16South DakotaSD-26AMidwestSD-10West North CentralSD-31United StatesSD-8SD-26BSD-20SD-4SD-6SD-9SD-18SD-15SD-35SD-23SD-1SD-27-1.000000x-1.000000x4.220042x4.220042x4.22x0.361%0.36%1.523%1.52%1-1.000000x-1.000000x2.980342x2.980342x2.98x1.464%1.46%4.364%4.36%2-1.000000x-1.000000x2.376837x2.376837x2.38x0.837%0.84%1.990%1.99%3-1.000000x-1.000000x2.262678x2.262678x2.26x1.610%1.61%3.644%3.64%4-1.000000x-1.000000x2.236377x2.236377x2.24x0.259%0.26%0.579%0.58%5-1.000000x-1.000000x2.189721x2.189721x2.19x2.853%2.85%6.248%6.25%6-1.000000x-1.000000x2.186475x2.186475x2.19x4.019%4.02%8.788%8.79%7-1.000000x-1.000000x2.124895x2.124895x2.12x0.595%0.59%1.263%1.26%8-1.000000x-1.000000x1.991278x1.991278x1.99x1.093%1.09%2.176%2.18%9-1.000000x-1.000000x1.973440x1.973440x1.97x1.255%1.25%2.476%2.48%10-1.000000x-1.000000x1.928684x1.928684x1.93x2.286%2.29%4.408%4.41%11-1.000000x-1.000000x1.907867x1.907867x1.91x4.124%4.12%7.867%7.87%12-1.000000x-1.000000x1.838510x1.838510x1.84x2.239%2.24%4.117%4.12%13-1.000000x-1.000000x1.834761x1.834761x1.83x3.563%3.56%6.537%6.54%14-1.000000x-1.000000x1.829541x1.829541x1.83x2.968%2.97%5.430%5.43%15-1.000000x-1.000000x1.824428x1.824428x1.82x1.037%1.04%1.892%1.89%16-1.000000x-1.000000x1.743456x1.743456x1.74x1.698%1.70%2.960%2.96%17-1.000000x-1.000000x1.740695x1.740695x1.74x2.274%2.27%3.959%3.96%18-1.000000x-1.000000x1.737104x1.737104x1.74x4.842%4.84%8.411%8.41%19-1.000000x-1.000000x1.729273x1.729273x1.73x1.757%1.76%3.038%3.04%20-1.000000x-1.000000x1.727084x1.727084x1.73x0.600%0.60%1.036%1.04%21-1.000000x-1.000000x1.725715x1.725715x1.73x2.134%2.13%3.683%3.68%22-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.591784x1.591784x1.59x0.812%0.81%1.293%1.29%23-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586803x1.586803x1.59x1.108%1.11%1.758%1.76%24-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%25-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.474998x1.474998x1.47x1.969%1.97%2.904%2.90%26-1.000000x-1.000000x1.384072x1.384072x1.38x1.539%1.54%2.130%2.13%27-1.000000x-1.000000x1.369123x1.369123x1.37x1.135%1.14%1.555%1.55%28-1.000000x-1.000000x1.155973x1.155973x1.16x0.831%0.83%0.960%0.96%29-1.000000x-1.000000x1.128654x1.128654x1.13x3.328%3.33%3.757%3.76%30-1.000000x-1.000000x1.110094x1.110094x1.11x1.118%1.12%1.242%1.24%31-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%32-1.000000x-1.000000x1.084310x1.084310x1.08x1.864%1.86%2.022%2.02%33-1.000000x-1.000000x1.037088x1.037088x1.04x0.607%0.61%0.629%0.63%34-1.365890x-1.365890x1.37x1.000000x1.000000x2.212%2.21%1.620%1.62%35-1.635771x-1.635771x1.64x1.000000x1.000000x2.174%2.17%1.329%1.33%36-3.541023x-3.541023x3.54x1.000000x1.000000x0.826%0.83%0.233%0.23%37
F percentage of females in category
M percentage of males in category
# rank of lower state legislative district out of 37 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
South Dakota
Counties:
Brookings, Codington, Deuel, Grant
Metro Areas:
Brookings Area, Watertown Area
Cities:
Arlington, Big Stone City, Brookings, Bruce, Clear Lake, Elkton, Gary, Milbank, Volga, Watertown, White
Towns:
Albee, Altamont, Astoria, Aurora, Brandt, Bushnell, Florence, Goodwin, Henry, Kranzburg, La Bolt, Marvin, Revillo, Sinai, South Shore, Stockholm, Strandburg, Toronto, Twin Brooks, Wallace
Townships:
Adams, Afton, Alban, Altamont, Alton, Antelope Valley, Argo, Aurora, Bangor, Big Stone, Blom, Blooming Valley, Brandt, Clear Lake, Dexter, Eden, Elkton, Eureka, Farmington, Fuller, Georgia, Germantown, Glenwood, Goodwin, Graceland, Grange, Grant Center, Havana, Henry, Herrick, Hidewood, Kampeska, Kilborn, Kranzburg, Lake, Lake Hendricks, Lake Sinai, Laketon, Leola, Lowe, Lura, Madison, Mazeppa, Melrose, Norden, Oak Lake, Oakwood, Osceola, Oslo, Parnell, Phipps, Portland, Preston, Rauville, Richland, Richland, Rome, Scandinavia, Sherman, Sterling, Stockholm, Trenton, Troy, Twin Brooks, Vernon, Volga, Waverly, Winsor
Unincorporated Places:
Lake Poinsett, Waverly
Congressional District:
SD-At Large
State Senate District:
SD-4
Unified School Districts:
Arlington 38-1, Big Stone 25-1, Brookings 05-1, Castlewood 28-1, Deubrook 05-6, Deuel 19-4, Elkton 05-3, Estelline 28-2, Florence 14-1, Grant-Deuel 25-3, Hamlin 28-3, Henry 14-2, Milbank 25-4, Sioux Valley 05-5, Summit 54-6, Watertown 14-4, Waubay 18-3, Waverly 14-5, Webster 18-5, Wilmot 54-7
ZIP Codes:
57002, 57006, 57026, 57061, 57071, 57201, 57212, 57213, 57216, 57218, 57220, 57223, 57226, 57227, 57234, 57235, 57237, 57238, 57242, 57243, 57245, 57246, 57251, 57252, 57256, 57259, 57263, 57264, 57265, 57266, 57268, 57269, 57272, 57276
Neighboring State House Districts:
MN-12A, MN-16A, MN-22A, SD-1, SD-2, SD-5, SD-7, SD-8, SD-22