Educational Attainment in At Large District, South Dakota (Congressional District)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of South Dakota and At Large District
At Large District
South Dakota
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma238.496767%38.496767%38.496767%38.5%214,268214k52.689696%52.689696%52.689696%52.7%293,264293k8.813537%8.813537%8.813537%8.8%49,05549.1k
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#2

Highest level of education among people aged 25 years and older.
Scope: population of South Dakota and At Large District
At Large District
South Dakota
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.153099%1.153099%1.153099%1.2%6,4181.361153%1.361153%1.361153%1.4%7,5765.574870%5.574870%5.574870%5.6%31,02931.0k19.361214%19.361214%19.361214%19.4%107,762108k11.046431%11.046431%11.046431%11.0%61,48361.5k21.854804%21.854804%21.854804%21.9%121,641122k30.834892%30.834892%30.834892%30.8%171,623172k5.163973%5.163973%5.163973%5.2%28,74228.7k3.038519%3.038519%3.038519%3.0%16,91216.9k0.611046%0.611046%0.611046%0.6%3,401
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#3

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 At Large District
More Females More Males
South Dakota
At Large District
10%0%10%20%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-11.440606%-11.440606%-11.440606%11%40.564%40.6%36.400%36.4%4.342895%4.342895%4.342895%4%51.578%51.6%53.818%53.8%24.488820%24.488820%24.488820%24%7.858%7.86%9.783%9.78%
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#4

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 At Large District
More Females More Males
South Dakota
At Large District
20%0%20%40%60%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None66.034744%66.034744%66.034744%66%0.868%0.87%1.442%1.44%65.400121%65.400121%65.400121%65%1.028%1.03%1.700%1.70%-30.859159%-30.859159%-30.859159%31%6.314%6.31%4.825%4.83%-15.643084%-15.643084%-15.643084%16%20.755%20.8%17.947%17.9%-10.617358%-10.617358%-10.617358%11%11.599%11.6%10.486%10.5%-8.134845%-8.134845%-8.134845%8%22.703%22.7%20.995%21.0%13.672207%13.672207%13.672207%14%28.875%28.9%32.823%32.8%26.248786%26.248786%26.248786%26%4.569%4.57%5.768%5.77%29.328538%29.328538%29.328538%29%2.652%2.65%3.430%3.43%-9.020635%-9.020635%-9.020635%9%0.637%0.64%0.584%0.58%
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#5

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of South Dakota and At Large District
At Large District
South Dakota
0%5%10%15%20%B.X.Total65+45-6435-4425-3413.730468%13.730468%13.730468%13.7%17,74117.7k129,209129k18.939283%18.939283%18.939283%18.9%41,42441.4k218,720219k22.716579%22.716579%22.716579%22.7%22,01622.0k96,91696.9k23.787833%23.787833%23.787833%23.8%26,58126.6k111,742112k
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Bachelor's Degrees Sex Ratio By Age#6

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of South Dakota and At Large District
More Females More Males
South Dakota
At Large District
30%20%10%0%10%FM65+45-6435-4425-3419.642769%19.642769%19.642769%19.6%12.610%12.6%15.087%15.1%-18.101107%-18.101107%-18.101107%18.1%20.519%20.5%17.374%17.4%-31.977233%-31.977233%-31.977233%32.0%25.957%26.0%19.668%19.7%-34.150844%-34.150844%-34.150844%34.2%27.412%27.4%20.434%20.4%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#7

Among population 25 years old and over with earnings.
Scope: population of South Dakota and At Large District
At Large District
South Dakota
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$51,628.000000$51,628.000000$51,628.000000$51.6k45,02345.0k8.089%8.09%$40,871.000000$40,871.000000$40,871.000000$40.9k107,762108k19.361%19.4%$32,390.000000$32,390.000000$32,390.000000$32.4k183,124183k32.901%32.9%$28,476.000000$28,476.000000$28,476.000000$28.5k171,623172k30.835%30.8%$21,966.000000$21,966.000000$21,966.000000$22.0k49,05549.1k8.814%8.81%$33,634.000000$33,634.000000$33,634.000000$33.6k556,587557k100.000%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#8

By sex among population 25 years old and over with earnings.
Scope: population of South Dakota and At Large District
Female Male
South Dakota
At Large District
Shaded bar tips show excess over facing bar.
$0k$50kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-46,434.000000$-46,434.000000$-46,434.000000$46.4k$46,434.000000$13,919.000000$46,434.000000$13,919.000000$60,353.000000$60.4k23,01123.0k22,01222.0k$-35,146.000000$-35,146.000000$-35,146.000000$35.1k$35,146.000000$15,358.000000$35,146.000000$15,358.000000$50,504.000000$50.5k58,17258.2k49,59049.6k$-26,605.000000$-26,605.000000$-26,605.000000$26.6k$26,605.000000$14,085.000000$26,605.000000$14,085.000000$40,690.000000$40.7k96,14196.1k86,98387.0k$-22,122.000000$-22,122.000000$-22,122.000000$22.1k$22,122.000000$12,398.000000$22,122.000000$12,398.000000$34,520.000000$34.5k80,93180.9k90,69290.7k$-15,342.000000$-15,342.000000$-15,342.000000$15.3k$15,342.000000$10,851.000000$15,342.000000$10,851.000000$26,193.000000$26.2k22,02522.0k27,03027.0k$-27,891.000000$-27,891.000000$-27,891.000000$27.9k$27,891.000000$12,482.000000$27,891.000000$12,482.000000$40,373.000000$40.4k280,280280k276,307276k
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#9

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of South Dakota and At Large District
At Large District
South Dakota
0%10%20%30%40%50%60%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma331.710286%31.710286%31.710286%31.7%52163.055386%63.055386%63.055386%63.1%1,0364.930006%4.930006%4.930006%4.9%810.304321%0.304321%0.304321%0.3%5
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#10

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 At Large District
At Large District
South Dakota
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.531563%87.531563%87.531563%87.5%108,849109k81.358494%81.358494%81.358494%81.4%123,263123k76.838929%76.838929%76.838929%76.8%93,70293.7k57.693088%57.693088%57.693088%57.7%17,06117.1k
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#11

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of South Dakota and At Large District
Female Male
South Dakota
At Large District
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1BlackAsianHispanic2Other1-5.854842%-5.854842%-5.854842%5.9%5.854842%2.038878%5.854842%2.038878%7.893720%7.9%18,99619.0k14,40914.4k-18.732724%-12.182582%-18.732724%-12.182582%-30.915306%30.9%18.732724%18.732724%18.732724%18.7%881814-27.473684%-0.281536%-27.473684%-0.281536%-27.755220%27.8%27.473684%27.473684%27.473684%27.5%783957-26.629041%-26.629041%-26.629041%26.6%26.629041%3.819203%26.629041%3.819203%30.448243%30.4%2,2621,557-20.590618%-20.590618%-20.590618%20.6%20.590618%1.562078%20.590618%1.562078%22.152696%22.2%5,2755,083
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#12

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of South Dakota and At Large District
Female Male
South Dakota
At Large District
Shaded bar tips show excess over facing bar.
20%0%20%40%MFWhite1BlackAsianHispanic2Other1-27.562779%-3.019821%-27.562779%-3.019821%-30.582599%30.6%27.562779%27.562779%27.562779%27.6%66,32966.3k75,26575.3k-18.951766%-18.951766%-18.951766%19.0%18.951766%1.715893%18.951766%1.715893%20.667659%20.7%972499-39.356148%-39.356148%-39.356148%39.4%39.356148%4.573676%39.356148%4.573676%43.929825%43.9%1,2521,357-15.331808%-2.010419%-15.331808%-2.010419%-17.342227%17.3%15.331808%15.331808%15.331808%15.3%1,1391,014-9.360826%-4.310890%-9.360826%-4.310890%-13.671717%13.7%9.360826%9.360826%9.360826%9.4%2,2293,375
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 At Large District

Coarse: Post-Secondary Degree Educational Attainment by County#13

Percentage of the population 25 years and older with given highest level of educational attainment
15%23%31%39%47%55%

Coarse: High School Diploma Educational Attainment by County#14

Percentage of the population 25 years and older with given highest level of educational attainment
40%46%51%56%61%67%

Coarse: No High School Diploma Educational Attainment by County#15

Percentage of the population 25 years and older with given highest level of educational attainment
4.3%8.0%11.6%15.2%18.9%22.6%

Detailed: Doctorate Degree Educational Attainment by County#16

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.5%3.1%4.6%6.2%7.8%

Detailed: Professional Degree Educational Attainment by County#17

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.3%1.9%2.5%3.2%

Detailed: Master's Degree Educational Attainment by County#18

Percentage of the population 25 years and older with given highest level of educational attainment
1.0%3.0%5.0%6.9%8.9%10.9%

Detailed: Bachelor's Degree Educational Attainment by County#19

Percentage of the population 25 years and older with given highest level of educational attainment
6.1%10.7%15.2%19.7%24.3%28.8%

Detailed: Associate's Degree Educational Attainment by County#20

Percentage of the population 25 years and older with given highest level of educational attainment
6.1%8.3%10.4%12.6%14.7%16.9%

Detailed: Some College Educational Attainment by County#21

Percentage of the population 25 years and older with given highest level of educational attainment
16.2%19.3%22.3%25.4%28.4%31.5%

Detailed: High School Diploma or Equivalent Educational Attainment by County#22

Percentage of the population 25 years and older with given highest level of educational attainment
21.2%25.9%30.5%35.1%39.7%44.3%

Detailed: Some High School Educational Attainment by County#23

Percentage of the population 25 years and older with given highest level of educational attainment
1.7%4.8%7.8%10.8%13.8%16.9%

Detailed: Less than High School Educational Attainment by County#24

Percentage of the population 25 years and older with given highest level of educational attainment
0.5%3.1%5.7%8.2%10.8%13.4%

Detailed: None Educational Attainment by County#25

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%0.6%1.2%1.8%2.4%3.1%
Road Data ©OpenStreetMap

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Map of Educational Attainment by County Subdivision in At Large District

Coarse: Post-Secondary Degree Educational Attainment by County Subdivision#26

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Coarse: High School Diploma Educational Attainment by County Subdivision#27

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%101%

Coarse: No High School Diploma Educational Attainment by County Subdivision#28

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Doctorate Degree Educational Attainment by County Subdivision#29

Percentage of the population 25 years and older with given highest level of educational attainment
0%16%31%47%62%78%

Detailed: Professional Degree Educational Attainment by County Subdivision#30

Percentage of the population 25 years and older with given highest level of educational attainment
0%8%15%23%31%39%

Detailed: Master's Degree Educational Attainment by County Subdivision#31

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Bachelor's Degree Educational Attainment by County Subdivision#32

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Associate's Degree Educational Attainment by County Subdivision#33

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Some College Educational Attainment by County Subdivision#34

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: High School Diploma or Equivalent Educational Attainment by County Subdivision#35

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Some High School Educational Attainment by County Subdivision#36

Percentage of the population 25 years and older with given highest level of educational attainment
0%20%40%60%80%100%

Detailed: Less than High School Educational Attainment by County Subdivision#37

Percentage of the population 25 years and older with given highest level of educational attainment
0%19%38%56%75%95%

Detailed: None Educational Attainment by County Subdivision#38

Percentage of the population 25 years and older with given highest level of educational attainment
0%10%20%30%40%50%
Road Data ©OpenStreetMap

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Map of Educational Attainment by Tract in At Large District

Coarse: Post-Secondary Degree Educational Attainment by Tract#39

Percentage of the population 25 years and older with given highest level of educational attainment
14%25%36%47%58%69%

Coarse: High School Diploma Educational Attainment by Tract#40

Percentage of the population 25 years and older with given highest level of educational attainment
28%38%48%58%67%78%

Coarse: No High School Diploma Educational Attainment by Tract#41

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%5.4%10.3%15.3%20.3%25.3%

Detailed: Doctorate Degree Educational Attainment by Tract#42

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%2.3%4.7%7.0%9.3%11.7%

Detailed: Professional Degree Educational Attainment by Tract#43

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.6%3.1%4.7%6.2%7.8%

Detailed: Master's Degree Educational Attainment by Tract#44

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%4.0%8.0%12.0%15.9%20.0%

Detailed: Bachelor's Degree Educational Attainment by Tract#45

Percentage of the population 25 years and older with given highest level of educational attainment
6%12%19%25%32%38%

Detailed: Associate's Degree Educational Attainment by Tract#46

Percentage of the population 25 years and older with given highest level of educational attainment
4.6%8.3%12.0%15.7%19.4%23.1%

Detailed: Some College Educational Attainment by Tract#47

Percentage of the population 25 years and older with given highest level of educational attainment
11.8%16.8%21.7%26.6%31.5%36.5%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#48

Percentage of the population 25 years and older with given highest level of educational attainment
11%20%27%35%42%51%

Detailed: Some High School Educational Attainment by Tract#49

Percentage of the population 25 years and older with given highest level of educational attainment
0.4%4.5%8.6%12.7%16.7%20.9%

Detailed: Less than High School Educational Attainment by Tract#50

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%3.7%7.5%11.2%14.9%18.7%

Detailed: None Educational Attainment by Tract#51

Percentage of the population 25 years and older with given highest level of educational attainment
0.0%1.5%2.9%4.4%5.9%7.4%
Road Data ©OpenStreetMap

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Educational Attainment by Place in At Large District

There are 392 places in At Large District. This section compares the 50 most populous of those to each other, At Large District, and other entities that contain or substantially overlap with At Large District. The least populous of the compared places has a population of 1,689.

No H.S. Diploma by Place#52

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of At Large District, selected places in At Large District, and entities that contain At Large District
0%5%10%15%20%Count#Pine RidgeHuronSissetonFlandreauNorth Eagle ButteN Eagle ButteParkstonWinnerElk PointMobridgeWebsterSpringfieldUnited States of AmericaUnited StatesNorth Sioux CityN Sioux CityMidwestLeadMilbankFort PierreMitchellPierreCantonSturgisBrittonWest North CentralYanktonBeresfordSioux FallsSouth DakotaCongressional District (at Large)SD-At LargeAberdeenWatertownLennoxRapid CityCusterBox ElderHot SpringsChamberlainBelle FourcheMadisonRedfieldHartfordSpearfishNorth SpearfishN SpearfishDell RapidsGrotonColonial Pine HillsColonial Pne HlsVermillionBlackhawkVolgaRapid ValleyBrookingsSummersetDakota DunesHarrisburgBrandonTea21.601490%21.601490%21.6%348119.339458%19.339458%19.3%1,663217.559524%17.559524%17.6%295316.889186%16.889186%16.9%253415.094340%15.094340%15.1%152514.285714%14.285714%14.3%169614.250125%14.250125%14.3%286714.173228%14.173228%14.2%198813.656041%13.656041%13.7%347913.621795%13.621795%13.6%1701013.286264%13.286264%13.3%2071113.020590%13.020590%13.0%27,818,38027.8M12.222888%12.222888%12.2%2041210.244520%10.244520%10.2%4,641,8354.64M10.186389%10.186389%10.2%2351310.160920%10.160920%10.2%2211410.089400%10.089400%10.1%158159.976200%9.976200%10.0%1,006169.786495%9.786495%9.8%958179.388840%9.388840%9.4%212189.364909%9.364909%9.4%435199.249084%9.249084%9.2%101209.174633%9.174633%9.2%1,278,0511.28M8.859746%8.859746%8.9%885218.833011%8.833011%8.8%137228.819364%8.819364%8.8%9,714238.813537%8.813537%8.8%49,05549.1k8.813537%8.813537%8.8%49,05549.1k8.481745%8.481745%8.5%1,524248.084058%8.084058%8.1%1,181257.997266%7.997266%8.0%117267.926704%7.926704%7.9%3,850277.862759%7.862759%7.9%110287.451662%7.451662%7.5%343297.445632%7.445632%7.4%202307.435159%7.435159%7.4%129317.221350%7.221350%7.2%276326.674392%6.674392%6.7%288335.858171%5.858171%5.9%114345.492639%5.492639%5.5%97355.231536%5.231536%5.2%357365.199190%5.199190%5.2%77375.117271%5.117271%5.1%120385.015924%5.015924%5.0%63395.010438%5.010438%5.0%72404.908504%4.908504%4.9%228414.894434%4.894434%4.9%102424.718693%4.718693%4.7%52434.123521%4.123521%4.1%223443.850760%3.850760%3.9%418453.565506%3.565506%3.6%43463.196347%3.196347%3.2%56472.122642%2.122642%2.1%63481.887113%1.887113%1.9%111491.520000%1.520000%1.5%3850
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Place#53

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of At Large District, selected places in At Large District, and entities that contain At Large District
0%20%40%Count#VermillionColonial Pine HillsColonial Pne HlsDakota DunesHarrisburgBrookingsTeaHartfordBrandonMadisonSioux FallsSpearfishVolgaPierreRapid CityUnited States of AmericaUnited StatesWest North CentralElk PointYanktonBlackhawkChamberlainMidwestGrotonAberdeenLeadSouth DakotaCongressional District (at Large)SD-At LargeFort PierreMitchellDell RapidsNorth SpearfishN SpearfishSummersetFlandreauWinnerHot SpringsCusterMobridgeNorth Sioux CityN Sioux CityCantonWatertownBeresfordHuronSturgisParkstonSissetonBox ElderLennoxBelle FourcheRedfieldWebsterRapid ValleySpringfieldBrittonPine RidgeMilbankNorth Eagle ButteN Eagle Butte55.026911%55.026911%55.0%2,556150.313152%50.313152%50.3%723250.285388%50.285388%50.3%881347.843666%47.843666%47.8%1,420447.250115%47.250115%47.3%5,129537.040000%37.040000%37.0%926634.767837%34.767837%34.8%614733.764026%33.764026%33.8%1,986833.534183%33.534183%33.5%1,447933.448940%33.448940%33.4%36,84236.8k1033.015826%33.015826%33.0%2,2531132.940109%32.940109%32.9%3631232.516089%32.516089%32.5%3,1831330.533251%30.533251%30.5%14,83014.8k1430.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.849678%29.849678%29.8%4171529.842827%29.842827%29.8%2,9811629.654511%29.654511%29.7%6181729.452450%29.452450%29.5%5111828.952816%28.952816%29.0%13,118,64213.1M28.582803%28.582803%28.6%3591928.317008%28.317008%28.3%5,0882027.568270%27.568270%27.6%6362127.450336%27.450336%27.5%152,785153k27.450336%27.450336%27.5%152,785153k27.075351%27.075351%27.1%4242226.824673%26.824673%26.8%2,7052326.652452%26.652452%26.7%6252426.468602%26.468602%26.5%3922526.119403%26.119403%26.1%3152624.432577%24.432577%24.4%3662724.065770%24.065770%24.1%4832822.889790%22.889790%22.9%6212922.873481%22.873481%22.9%3203022.077922%22.077922%22.1%5613121.569802%21.569802%21.6%3603220.992028%20.992028%21.0%4743320.898077%20.898077%20.9%3,0533420.696325%20.696325%20.7%3213520.002326%20.002326%20.0%1,7203619.763186%19.763186%19.8%9183719.695689%19.695689%19.7%2333818.452381%18.452381%18.5%3103918.379318%18.379318%18.4%8464018.250171%18.250171%18.3%2674118.158032%18.158032%18.2%6944218.088386%18.088386%18.1%3524317.307692%17.307692%17.3%2164416.568047%16.568047%16.6%8964513.350449%13.350449%13.4%2084612.912088%12.912088%12.9%1414712.725016%12.725016%12.7%2054812.413793%12.413793%12.4%2704912.413108%12.413108%12.4%12550
Count number of people in category
# rank of place out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Place#54

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of At Large District, selected places in At Large District, and entities that contain At Large District
0%5%10%Count#VermillionDakota DunesBrookingsColonial Pine HillsColonial Pne HlsFort PierreWinnerSpearfishMadisonMobridgeHarrisburgTeaUnited States of AmericaUnited StatesSioux FallsHot SpringsPierreYanktonWest North CentralChamberlainRapid CityMidwestElk PointRedfieldSouth DakotaCongressional District (at Large)SD-At LargeAberdeenHartfordBrandonBeresfordSissetonNorth SpearfishN SpearfishWebsterNorth Sioux CityN Sioux CityBox ElderMitchellGrotonParkstonBlackhawkCantonLeadSturgisSpringfieldWatertownCusterBrittonVolgaDell RapidsBelle FourcheSummersetPine RidgeNorth Eagle ButteN Eagle ButteFlandreauRapid ValleyMilbankHuronLennox13.842842%13.842842%13.8%643111.529680%11.529680%11.5%20226.927683%6.927683%6.9%75236.750174%6.750174%6.8%9744.150702%4.150702%4.2%6553.986049%3.986049%4.0%8063.898007%3.898007%3.9%26673.777520%3.777520%3.8%16383.541913%3.541913%3.5%9093.537736%3.537736%3.5%105103.400000%3.400000%3.4%85113.336158%3.336158%3.3%7,127,6737.13M3.298409%3.298409%3.3%3,633123.243642%3.243642%3.2%88133.197467%3.197467%3.2%313143.003304%3.003304%3.0%300152.978981%2.978981%3.0%414,980415k2.939481%2.939481%2.9%51162.927733%2.927733%2.9%1,422172.893416%2.893416%2.9%1,311,0191.31M2.720115%2.720115%2.7%38182.569373%2.569373%2.6%50192.514252%2.514252%2.5%13,99414.0k2.514252%2.514252%2.5%13,99414.0k2.254007%2.254007%2.3%405202.151755%2.151755%2.2%38212.006120%2.006120%2.0%118221.869761%1.869761%1.9%29231.785714%1.785714%1.8%30241.755571%1.755571%1.8%26251.522436%1.522436%1.5%19261.437987%1.437987%1.4%24271.390398%1.390398%1.4%64281.388338%1.388338%1.4%140291.353503%1.353503%1.4%17301.352494%1.352494%1.4%16311.295585%1.295585%1.3%27321.284322%1.284322%1.3%29331.257044%1.257044%1.3%29341.227126%1.227126%1.2%57351.219512%1.219512%1.2%19360.937778%0.937778%0.9%137370.929235%0.929235%0.9%13380.915751%0.915751%0.9%10390.816697%0.816697%0.8%9400.724947%0.724947%0.7%17410.627943%0.627943%0.6%24420.580431%0.580431%0.6%7430.558659%0.558659%0.6%9440.496524%0.496524%0.5%5450.467290%0.467290%0.5%7460.462278%0.462278%0.5%25470.459770%0.459770%0.5%10480.430283%0.430283%0.4%37490.341763%0.341763%0.3%550
Count number of people in category
# rank of place 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 Place#55

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 At Large District, selected places in At Large District, and entities that contain At Large District
Female
Male
10x5x0xFM#Colonial Pne HlsCantonHarrisburgDell RapidsGrotonBeresfordHot SpringsPine RidgeSpringfieldElk PointWebsterBlackhawkHartfordLennoxN Sioux CityFlandreauVermillionSturgisMitchellMilbankFort PierreParkstonChamberlainWatertownN Eagle ButteSissetonMadisonRedfieldSouth DakotaSD-At LargeVolgaAberdeenRapid CityBox ElderSioux FallsWest North CentralMidwestUnited StatesHuronSpearfishLeadMobridgeBelle FourcheWinnerBrookingsYanktonSummersetBrittonRapid ValleyTeaPierreN SpearfishBrandonCusterDakota Dunes-1.000000x-1.000000x4.444692x4.444692x4.44x1.828%1.83%8.127%8.13%1-1.000000x-1.000000x4.258030x4.258030x4.26x3.493%3.49%14.872%14.9%2-1.000000x-1.000000x3.814476x3.814476x3.81x0.929%0.93%3.545%3.55%3-1.000000x-1.000000x3.106771x3.106771x3.11x2.515%2.51%7.813%7.81%4-1.000000x-1.000000x2.473973x2.473973x2.47x2.976%2.98%7.363%7.36%5-1.000000x-1.000000x2.090718x2.090718x2.09x5.638%5.64%11.787%11.8%6-1.000000x-1.000000x2.001333x2.001333x2.00x4.974%4.97%9.955%9.96%7-1.000000x-1.000000x1.804421x1.804421x1.80x15.569%15.6%28.093%28.1%8-1.000000x-1.000000x1.757569x1.757569x1.76x8.085%8.09%14.210%14.2%9-1.000000x-1.000000x1.695882x1.695882x1.70x10.825%10.8%18.357%18.4%10-1.000000x-1.000000x1.656830x1.656830x1.66x10.382%10.4%17.201%17.2%11-1.000000x-1.000000x1.600300x1.600300x1.60x3.832%3.83%6.133%6.13%12-1.000000x-1.000000x1.586684x1.586684x1.59x4.215%4.22%6.689%6.69%13-1.000000x-1.000000x1.568635x1.568635x1.57x6.337%6.34%9.941%9.94%14-1.000000x-1.000000x1.524572x1.524572x1.52x9.646%9.65%14.706%14.7%15-1.000000x-1.000000x1.518758x1.518758x1.52x13.697%13.7%20.802%20.8%16-1.000000x-1.000000x1.498461x1.498461x1.50x3.906%3.91%5.853%5.85%17-1.000000x-1.000000x1.480208x1.480208x1.48x7.668%7.67%11.350%11.3%18-1.000000x-1.000000x1.448467x1.448467x1.45x8.208%8.21%11.889%11.9%19-1.000000x-1.000000x1.413342x1.413342x1.41x8.453%8.45%11.947%11.9%20-1.000000x-1.000000x1.389522x1.389522x1.39x8.389%8.39%11.656%11.7%21-1.000000x-1.000000x1.353873x1.353873x1.35x12.408%12.4%16.798%16.8%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-1.000000x1.315980x1.315980x1.32x13.187%13.2%17.354%17.4%25-1.000000x-1.000000x1.293077x1.293077x1.29x15.428%15.4%19.949%19.9%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-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.229235x1.229235x1.23x4.228%4.23%5.197%5.20%29-1.000000x-1.000000x1.187620x1.187620x1.19x7.786%7.79%9.247%9.25%30-1.000000x-1.000000x1.168092x1.168092x1.17x7.323%7.32%8.554%8.55%31-1.000000x-1.000000x1.146726x1.146726x1.15x6.935%6.93%7.952%7.95%32-1.000000x-1.000000x1.146019x1.146019x1.15x8.230%8.23%9.431%9.43%33-1.000000x-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-1.000000x1.100283x1.100283x1.10x18.463%18.5%20.314%20.3%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%37-1.103812x-1.103812x1.10x1.000000x1.000000x7.553%7.55%6.842%6.84%38-1.208183x-1.208183x1.21x1.000000x1.000000x15.516%15.5%12.842%12.8%39-1.222914x-1.222914x1.22x1.000000x1.000000x4.243%4.24%3.470%3.47%40-1.234367x-1.234367x1.23x1.000000x1.000000x9.838%9.84%7.970%7.97%41-1.300353x-1.300353x1.30x1.000000x1.000000x4.064%4.06%3.125%3.13%42-1.470144x-1.470144x1.47x1.000000x1.000000x10.971%11.0%7.463%7.46%43-1.546623x-1.546623x1.55x1.000000x1.000000x5.013%5.01%3.241%3.24%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%46-1.819904x-1.819904x1.82x1.000000x1.000000x6.749%6.75%3.709%3.71%47-1.923915x-1.923915x1.92x1.000000x1.000000x2.453%2.45%1.275%1.27%48-2.034124x-2.034124x2.03x1.000000x1.000000x10.154%10.2%4.992%4.99%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.838%6.84%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by Place#56

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 At Large District, selected places in At Large District, and entities that contain At Large District
Female
Male
10x5x0x5x10xFM#Rapid ValleyMilbankBlackhawkFlandreauSummersetN Eagle ButteSpringfieldBrittonRedfieldWatertownN Sioux CityWinnerBeresfordHot SpringsFort PierreHuronChamberlainAberdeenPierreBelle FourcheSpearfishVermillionBrookingsMitchellSioux FallsCantonSturgisColonial Pne HlsSouth DakotaSD-At LargeMobridgeMidwestWest North CentralUnited StatesRapid CityDakota DunesBox ElderVolgaBrandonCusterTeaYanktonMadisonLeadN SpearfishDell RapidsHarrisburgHartfordSissetonParkstonWebsterElk PointGrotonPine RidgeLennox-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.921%0.92%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%2.807%2.81%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.040%1.04%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.094%1.09%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.085%1.08%6-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.436%1.44%7-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.866%1.87%8-1.000000x-1.000000x5.200946x5.200946x5.20x0.909%0.91%4.728%4.73%9-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%10-1.000000x-1.000000x4.817647x4.817647x4.82x0.488%0.49%2.353%2.35%11-1.000000x-1.000000x4.450526x4.450526x4.45x1.514%1.51%6.737%6.74%12-1.000000x-1.000000x4.436725x4.436725x4.44x0.671%0.67%2.978%2.98%13-1.000000x-1.000000x3.688238x3.688238x3.69x1.390%1.39%5.126%5.13%14-1.000000x-1.000000x3.685890x3.685890x3.69x1.731%1.73%6.380%6.38%15-1.000000x-1.000000x3.460356x3.460356x3.46x0.199%0.20%0.688%0.69%16-1.000000x-1.000000x3.254193x3.254193x3.25x1.422%1.42%4.629%4.63%17-1.000000x-1.000000x3.026479x3.026479x3.03x1.147%1.15%3.472%3.47%18-1.000000x-1.000000x2.914741x2.914741x2.91x1.681%1.68%4.899%4.90%19-1.000000x-1.000000x2.287156x2.287156x2.29x0.392%0.39%0.897%0.90%20-1.000000x-1.000000x2.199787x2.199787x2.20x2.499%2.50%5.498%5.50%21-1.000000x-1.000000x2.132400x2.132400x2.13x8.744%8.74%18.645%18.6%22-1.000000x-1.000000x2.048101x2.048101x2.05x4.523%4.52%9.264%9.26%23-1.000000x-1.000000x1.946378x1.946378x1.95x0.954%0.95%1.858%1.86%24-1.000000x-1.000000x1.868919x1.868919x1.87x2.312%2.31%4.322%4.32%25-1.000000x-1.000000x1.766838x1.766838x1.77x0.919%0.92%1.624%1.62%26-1.000000x-1.000000x1.728895x1.728895x1.73x0.919%0.92%1.588%1.59%27-1.000000x-1.000000x1.659435x1.659435x1.66x5.063%5.06%8.402%8.40%28-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-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-1.000000x1.366722x1.366722x1.37x9.646%9.65%13.183%13.2%31-1.000000x-1.000000x1.244488x1.244488x1.24x1.237%1.24%1.539%1.54%32-1.000000x-1.000000x1.218638x1.218638x1.22x0.735%0.74%0.896%0.90%33-1.000000x-1.000000x1.082861x1.082861x1.08x1.929%1.93%2.089%2.09%34-1.000000x-1.000000x1.073844x1.073844x1.07x0.900%0.90%0.966%0.97%35-1.129941x-1.129941x1.13x1.000000x1.000000x3.587%3.59%3.175%3.17%36-1.144745x-1.144745x1.14x1.000000x1.000000x3.216%3.22%2.810%2.81%37-1.308470x-1.308470x1.31x1.000000x1.000000x4.271%4.27%3.264%3.26%38-1.629286x-1.629286x1.63x1.000000x1.000000x1.557%1.56%0.956%0.96%39-1.663912x-1.663912x1.66x1.000000x1.000000x2.204%2.20%1.325%1.32%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%44-3.238799x-3.238799x3.24x1.000000x1.000000x1.920%1.92%0.593%0.59%45-3.395038x-3.395038x3.40x1.000000x1.000000x2.290%2.29%0.675%0.67%46-3.543999x-3.543999x3.54x1.000000x1.000000x3.995%3.99%1.127%1.13%47-4.055556x-4.055556x4.06x1.000000x1.000000x2.083%2.08%0.514%0.51%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x1.078%1.08%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.634%0.63%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of place out of 50 by male-to-female sex ratio

Educational Attainment by Metro Area in At Large District

There are 12 metro areas that are fully or partially contained within At Large District (11 fully and 1 partially). This section compares all 12 of those to each other, At Large District, and other entities that contain or substantially overlap with At Large District.

No H.S. Diploma by Metro Area#57

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of At Large District, selected metro areas in At Large District, and entities that contain At Large District
0%5%10%15%Count#Huron Metro AreaHuron AreaSioux City Metro AreaSioux CityUnited States of AmericaUnited StatesMidwestMitchell Metro AreaMitchell AreaWest North CentralSouth DakotaCongressional District (at Large)SD-At LargePierre Metro AreaPierre AreaYankton Metro AreaYankton AreaWatertown Metro AreaWatertownAberdeen Metro AreaAberdeen AreaSioux Falls Metro AreaSioux FallsRapid City Metro AreaRapid CitySpearfish Metro AreaSpearfishVermillion Metro AreaVermillionBrookings Metro AreaBrookings16.608739%16.608739%16.6%2,007114.026653%14.026653%14.0%15,23015.2k213.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.207077%9.207077%9.2%1,40539.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.813537%8.813537%8.8%49,05549.1k8.785393%8.785393%8.8%1,32848.147166%8.147166%8.1%1,29158.146234%8.146234%8.1%1,51368.084172%8.084172%8.1%2,28277.847835%7.847835%7.8%12,67712.7k87.049281%7.049281%7.0%6,79696.010994%6.010994%6.0%1,017105.162771%5.162771%5.2%360114.326428%4.326428%4.3%75612
Count number of people in category
# rank of metro area out of 12 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Metro Area#58

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of At Large District, selected metro areas in At Large District, and entities that contain At Large District
0%10%20%30%40%Count#Vermillion Metro AreaVermillionBrookings Metro AreaBrookingsSioux Falls Metro AreaSioux FallsPierre Metro AreaPierre AreaSpearfish Metro AreaSpearfishUnited States of AmericaUnited StatesWest North CentralMidwestRapid City Metro AreaRapid CitySouth DakotaCongressional District (at Large)SD-At LargeAberdeen Metro AreaAberdeen AreaYankton Metro AreaYankton AreaMitchell Metro AreaMitchell AreaSioux City Metro AreaSioux CityWatertown Metro AreaWatertownHuron Metro AreaHuron Area47.827334%47.827334%47.8%3,335140.952272%40.952272%41.0%7,156231.999257%31.999257%32.0%51,69051.7k331.708124%31.708124%31.7%4,793431.603523%31.603523%31.6%5,347530.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M27.690935%27.690935%27.7%26,69626.7k627.450336%27.450336%27.5%152,785153k27.450336%27.450336%27.5%152,785153k27.444381%27.444381%27.4%7,747727.331819%27.331819%27.3%4,331825.937090%25.937090%25.9%3,958921.018797%21.018797%21.0%22,82222.8k1020.938997%20.938997%20.9%3,8891120.340947%20.340947%20.3%2,45812
Count number of people in category
# rank of metro area out of 12 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Metro Area#59

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of At Large District, selected metro areas in At Large District, and entities that contain At Large District
0%5%10%Count#Vermillion Metro AreaVermillionBrookings Metro AreaBrookingsUnited States of AmericaUnited StatesPierre Metro AreaPierre AreaWest North CentralSioux Falls Metro AreaSioux FallsYankton Metro AreaYankton AreaMidwestSpearfish Metro AreaSpearfishRapid City Metro AreaRapid CitySouth DakotaCongressional District (at Large)SD-At LargeAberdeen Metro AreaAberdeen AreaSioux City Metro AreaSioux CityMitchell Metro AreaMitchell AreaWatertown Metro AreaWatertownHuron Metro AreaHuron Area10.884842%10.884842%10.9%75914.955935%4.955935%5.0%86623.336158%3.336158%3.3%7,127,6737.13M3.261445%3.261445%3.3%49332.978981%2.978981%3.0%414,980415k2.941158%2.941158%2.9%4,75142.934495%2.934495%2.9%46552.893416%2.893416%2.9%1,311,0191.31M2.825226%2.825226%2.8%47862.610806%2.610806%2.6%2,51772.514252%2.514252%2.5%13,99414.0k2.514252%2.514252%2.5%13,99414.0k2.479807%2.479807%2.5%70081.917498%1.917498%1.9%2,08291.225426%1.225426%1.2%187100.856081%0.856081%0.9%159110.571003%0.571003%0.6%6912
Count number of people in category
# rank of metro area out of 12 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#60

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 At Large District, selected metro areas in At Large District, and entities that contain At Large District
Female
Male
1x0x1xFM#Mitchell AreaWatertownAberdeen AreaVermillionRapid CitySouth DakotaSD-At LargeSioux FallsBrookingsHuron AreaWest North CentralSioux CityMidwestUnited StatesSpearfishYankton AreaPierre Area-1.000000x-1.000000x1.863510x1.863510x1.86x6.477%6.48%12.070%12.1%1-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%2-1.000000x-1.000000x1.325979x1.325979x1.33x6.979%6.98%9.254%9.25%3-1.000000x-1.000000x1.288505x1.288505x1.29x4.505%4.50%5.804%5.80%4-1.000000x-1.000000x1.265074x1.265074x1.27x6.232%6.23%7.883%7.88%5-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.220437x1.220437x1.22x7.077%7.08%8.637%8.64%6-1.000000x-1.000000x1.215741x1.215741x1.22x3.894%3.89%4.734%4.73%7-1.000000x-1.000000x1.201297x1.201297x1.20x15.124%15.1%18.168%18.2%8-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.132818x1.132818x1.13x13.176%13.2%14.925%14.9%9-1.000000x-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-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%10-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%11-1.318519x-1.318519x1.32x1.000000x1.000000x9.961%9.96%7.555%7.55%12
F percentage of females in category
M percentage of males in category
# rank of metro area out of 12 by male-to-female sex ratio

Over-Education Sex Ratio by Metro Area#61

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 At Large District, selected metro areas in At Large District, and entities that contain At Large District
Female
Male
1x0x1x2x3xFM#WatertownSioux CityAberdeen AreaBrookingsHuron AreaRapid CityVermillionPierre AreaMitchell AreaSouth DakotaSD-At LargeSioux FallsMidwestWest North CentralSpearfishUnited StatesYankton Area-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%1-1.000000x-1.000000x2.280406x2.280406x2.28x1.182%1.18%2.695%2.69%2-1.000000x-1.000000x2.135219x2.135219x2.14x1.598%1.60%3.413%3.41%3-1.000000x-1.000000x2.002539x2.002539x2.00x3.268%3.27%6.545%6.55%4-1.000000x-1.000000x1.968511x1.968511x1.97x0.388%0.39%0.763%0.76%5-1.000000x-1.000000x1.755957x1.755957x1.76x1.900%1.90%3.336%3.34%6-1.000000x-1.000000x1.714655x1.714655x1.71x7.992%7.99%13.703%13.7%7-1.000000x-1.000000x1.697900x1.697900x1.70x2.432%2.43%4.129%4.13%8-1.000000x-1.000000x1.675282x1.675282x1.68x0.922%0.92%1.544%1.54%9-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.627265x1.627265x1.63x2.245%2.25%3.653%3.65%10-1.000000x-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-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%11-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%12
F percentage of females in category
M percentage of males in category
# rank of metro area out of 12 by male-to-female sex ratio

Educational Attainment by County in At Large District

There are 66 counties in At Large District. This section compares the 50 most populous of those to each other, At Large District, and other entities that contain or substantially overlap with At Large District. The least populous of the compared counties has a population of 2,961.

No H.S. Diploma by County#62

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of At Large District, selected counties in At Large District, and entities that contain At Large District
0%5%10%15%20%Count#Oglala Lakota CountyOglala LakotaBennett CountyBennettTodd CountyToddCorson CountyCorsonBeadle CountyBeadleDewey CountyDeweyDouglas CountyDouglasBrule CountyBruleHutchinson CountyHutchinsonUnited States of AmericaUnited StatesRoberts CountyRobertsJackson CountyJacksonTripp CountyTrippWalworth CountyWalworthLyman CountyLymanGregory CountyGregoryCharles Mix CountyCharles MixDay CountyDayEdmunds CountyEdmundsBon Homme CountyBon HommeMarshall CountyMarshallPerkins CountyPerkinsMcCook CountyMcCookClark CountyClarkMidwestGrant CountyGrantDavison CountyDavisonKingsbury CountyKingsburyWest North CentralStanley CountyStanleyMoody CountyMoodyButte CountyButteSouth DakotaCongressional District (at Large)SD-At LargeHughes CountyHughesUnion CountyUnionMinnehaha CountyMinnehahaDeuel CountyDeuelHand CountyHandYankton CountyYanktonCodington CountyCodingtonHanson CountyHansonTurner CountyTurnerBrown CountyBrownSpink CountySpinkHamlin CountyHamlinPennington CountyPenningtonFall River CountyFall RiverCuster CountyCusterMeade CountyMeadeLawrence CountyLawrenceLake CountyLakeClay CountyClayLincoln CountyLincolnBrookings CountyBrookings22.057777%22.057777%22.1%1,550121.071800%21.071800%21.1%405220.655067%20.655067%20.7%1,009318.364726%18.364726%18.4%429416.608739%16.608739%16.6%2,007515.084525%15.084525%15.1%464614.272167%14.272167%14.3%301713.796971%13.796971%13.8%492813.137959%13.137959%13.1%659913.020590%13.020590%13.0%27,818,38027.8M12.927054%12.927054%12.9%8401012.637363%12.637363%12.6%2301112.483946%12.483946%12.5%4861212.169312%12.169312%12.2%4831311.980239%11.980239%12.0%2911411.794355%11.794355%11.8%3511511.628312%11.628312%11.6%6671611.124845%11.124845%11.1%4501711.123348%11.123348%11.1%3031811.018267%11.018267%11.0%5671910.949788%10.949788%10.9%3622010.765002%10.765002%10.8%2352110.699039%10.699039%10.7%4012210.382736%10.382736%10.4%2552310.244520%10.244520%10.2%4,641,8354.64M9.843137%9.843137%9.8%502249.422101%9.422101%9.4%1,244259.385291%9.385291%9.4%342269.174633%9.174633%9.2%1,278,0511.28M9.162952%9.162952%9.2%185278.988764%8.988764%9.0%384288.959044%8.959044%9.0%630298.813537%8.813537%8.8%49,05549.1k8.813537%8.813537%8.8%49,05549.1k8.758763%8.758763%8.8%1,062308.725432%8.725432%8.7%879318.586071%8.586071%8.6%10,22010.2k328.468409%8.468409%8.5%256338.245688%8.245688%8.2%196348.147166%8.147166%8.1%1,291358.146234%8.146234%8.1%1,513367.826932%7.826932%7.8%161377.800687%7.800687%7.8%454387.759567%7.759567%7.8%1,979397.726465%7.726465%7.7%348407.189542%7.189542%7.2%264417.189289%7.189289%7.2%5,198426.908463%6.908463%6.9%360436.640566%6.640566%6.6%441446.625057%6.625057%6.6%1,157456.010994%6.010994%6.0%1,017466.007024%6.007024%6.0%496475.162771%5.162771%5.2%360484.863831%4.863831%4.9%1,602494.326428%4.326428%4.3%75650
Count number of people in category
# rank of county 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#63

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of At Large District, selected counties in At Large District, and entities that contain At Large District
0%10%20%30%40%Count#Clay CountyClayLincoln CountyLincolnBrookings CountyBrookingsLake CountyLakeHughes CountyHughesLawrence CountyLawrenceUnited States of AmericaUnited StatesMinnehaha CountyMinnehahaUnion CountyUnionWest North CentralMidwestPennington CountyPenningtonBrown CountyBrownSouth DakotaCongressional District (at Large)SD-At LargeYankton CountyYanktonStanley CountyStanleyMoody CountyMoodyDavison CountyDavisonBrule CountyBruleCuster CountyCusterFall River CountyFall RiverMeade CountyMeadeHand CountyHandEdmunds CountyEdmundsKingsbury CountyKingsburyMarshall CountyMarshallMcCook CountyMcCookHutchinson CountyHutchinsonTurner CountyTurnerTripp CountyTrippHanson CountyHansonSpink CountySpinkCodington CountyCodingtonWalworth CountyWalworthDouglas CountyDouglasHamlin CountyHamlinBeadle CountyBeadleDeuel CountyDeuelButte CountyButteGregory CountyGregoryPerkins CountyPerkinsJackson CountyJacksonBon Homme CountyBon HommeLyman CountyLymanCharles Mix CountyCharles MixBennett CountyBennettDay CountyDayClark CountyClarkCorson CountyCorsonRoberts CountyRobertsTodd CountyToddGrant CountyGrantDewey CountyDeweyOglala Lakota CountyOglala Lakota47.827334%47.827334%47.8%3,335141.233264%41.233264%41.2%13,58113.6k240.952272%40.952272%41.0%7,156333.208187%33.208187%33.2%2,742433.006186%33.006186%33.0%4,002531.603523%31.603523%31.6%5,347630.315023%30.315023%30.3%64,767,78764.8M30.257918%30.257918%30.3%36,01636.0k730.136986%30.136986%30.1%3,036830.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.928660%28.928660%28.9%20,91620.9k927.925031%27.925031%27.9%7,1221027.450336%27.450336%27.5%152,785153k27.450336%27.450336%27.5%152,785153k27.331819%27.331819%27.3%4,3311126.993561%26.993561%27.0%5451226.849251%26.849251%26.8%1,1471326.645459%26.645459%26.6%3,5181425.602916%25.602916%25.6%9131524.499322%24.499322%24.5%1,6271623.949338%23.949338%23.9%1,2481723.780348%23.780348%23.8%4,1531823.138410%23.138410%23.1%5501922.944200%22.944200%22.9%6252022.667398%22.667398%22.7%8262122.595281%22.595281%22.6%7472222.545358%22.545358%22.5%8452321.590909%21.590909%21.6%1,0832421.443299%21.443299%21.4%1,2482521.397380%21.397380%21.4%8332621.390374%21.390374%21.4%4402721.092362%21.092362%21.1%9502820.938997%20.938997%20.9%3,8892920.634921%20.634921%20.6%8193020.625889%20.625889%20.6%4353120.479303%20.479303%20.5%7523220.340947%20.340947%20.3%2,4583319.781674%19.781674%19.8%5983419.695677%19.695677%19.7%1,3853519.287634%19.287634%19.3%5743619.193770%19.193770%19.2%4193718.626374%18.626374%18.6%3393818.324913%18.324913%18.3%9433918.279127%18.279127%18.3%4444018.131102%18.131102%18.1%1,0404117.793965%17.793965%17.8%3424217.132262%17.132262%17.1%6934316.693811%16.693811%16.7%4104416.352740%16.352740%16.4%3824516.035703%16.035703%16.0%1,0424615.742068%15.742068%15.7%7694714.607843%14.607843%14.6%7454814.076723%14.076723%14.1%4334911.199658%11.199658%11.2%78750
Count number of people in category
# rank of county 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#64

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of At Large District, selected counties in At Large District, and entities that contain At Large District
0%5%10%Count#Clay CountyClayBrookings CountyBrookingsStanley CountyStanleyLincoln CountyLincolnUnion CountyUnionUnited States of AmericaUnited StatesHughes CountyHughesLake CountyLakeBrule CountyBruleWest North CentralYankton CountyYanktonPennington CountyPenningtonMidwestLawrence CountyLawrenceMinnehaha CountyMinnehahaBrown CountyBrownFall River CountyFall RiverSouth DakotaCongressional District (at Large)SD-At LargeMarshall CountyMarshallWalworth CountyWalworthCharles Mix CountyCharles MixTripp CountyTrippPerkins CountyPerkinsCuster CountyCusterDouglas CountyDouglasBon Homme CountyBon HommeKingsbury CountyKingsburyTurner CountyTurnerMeade CountyMeadeHutchinson CountyHutchinsonHand CountyHandEdmunds CountyEdmundsRoberts CountyRobertsDeuel CountyDeuelDay CountyDayDavison CountyDavisonSpink CountySpinkMoody CountyMoodyMcCook CountyMcCookHamlin CountyHamlinTodd CountyToddJackson CountyJacksonLyman CountyLymanCodington CountyCodingtonGregory CountyGregoryBennett CountyBennettClark CountyClarkButte CountyButteHanson CountyHansonBeadle CountyBeadleDewey CountyDeweyOglala Lakota CountyOglala LakotaGrant CountyGrantCorson CountyCorson10.884842%10.884842%10.9%75914.955935%4.955935%5.0%86624.259534%4.259534%4.3%8634.162492%4.162492%4.2%1,37144.089736%4.089736%4.1%41253.336158%3.336158%3.3%7,127,6737.13M3.323711%3.323711%3.3%40363.100400%3.100400%3.1%25673.000561%3.000561%3.0%10782.978981%2.978981%3.0%414,980415k2.934495%2.934495%2.9%46592.923847%2.923847%2.9%2,114102.893416%2.893416%2.9%1,311,0191.31M2.825226%2.825226%2.8%478112.723683%2.723683%2.7%3,242122.587829%2.587829%2.6%660132.571483%2.571483%2.6%134142.514252%2.514252%2.5%13,99414.0k2.514252%2.514252%2.5%13,99414.0k2.480339%2.480339%2.5%82152.368355%2.368355%2.4%94162.318689%2.318689%2.3%133172.183406%2.183406%2.2%85182.153000%2.153000%2.2%47192.002710%2.002710%2.0%133201.801802%1.801802%1.8%38211.748931%1.748931%1.7%90221.619100%1.619100%1.6%59231.546392%1.546392%1.5%90241.546038%1.546038%1.5%270251.495215%1.495215%1.5%75261.472444%1.472444%1.5%35271.468429%1.468429%1.5%40281.461988%1.461988%1.5%95291.389348%1.389348%1.4%42301.384425%1.384425%1.4%56311.325456%1.325456%1.3%175321.309947%1.309947%1.3%59331.287453%1.287453%1.3%55341.280683%1.280683%1.3%48351.225490%1.225490%1.2%45361.187308%1.187308%1.2%58371.098901%1.098901%1.1%20380.946892%0.946892%0.9%23390.856081%0.856081%0.9%159400.840054%0.840054%0.8%25410.832466%0.832466%0.8%16420.651466%0.651466%0.7%16430.625711%0.625711%0.6%44440.583374%0.583374%0.6%12450.571003%0.571003%0.6%69460.357607%0.357607%0.4%11470.241924%0.241924%0.2%17480.235294%0.235294%0.2%12490.214041%0.214041%0.2%550
Count number of people in category
# rank of county 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#65

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 At Large District, selected counties in At Large District, and entities that contain At Large District
Female
Male
1x0x1x2xFM#HansonDeuelGrantLincolnHamlinDayMeadeBon HommeFall RiverButteDavisonEdmundsLakeHandMcCookDouglasPerkinsRobertsKingsburyCodingtonMoodyGregorySpinkLymanStanleyJacksonClayBrownDeweySouth DakotaSD-At LargeBruleCusterBrookingsBeadleToddPenningtonWest North CentralMidwestMinnehahaUnited StatesOglala LakotaWalworthMarshallTrippCharles MixUnionLawrenceClarkHutchinsonYanktonTurnerCorsonBennettHughes-1.000000x-1.000000x2.652363x2.652363x2.65x4.253%4.25%11.281%11.3%1-1.000000x-1.000000x2.162949x2.162949x2.16x5.303%5.30%11.469%11.5%2-1.000000x-1.000000x2.098765x2.098765x2.10x6.353%6.35%13.333%13.3%3-1.000000x-1.000000x2.060952x2.060952x2.06x3.206%3.21%6.606%6.61%4-1.000000x-1.000000x2.053773x2.053773x2.05x4.688%4.69%9.629%9.63%5-1.000000x-1.000000x2.012347x2.012347x2.01x7.344%7.34%14.779%14.8%6-1.000000x-1.000000x1.987366x1.987366x1.99x4.426%4.43%8.796%8.80%7-1.000000x-1.000000x1.839876x1.839876x1.84x7.381%7.38%13.581%13.6%8-1.000000x-1.000000x1.834194x1.834194x1.83x4.884%4.88%8.958%8.96%9-1.000000x-1.000000x1.796424x1.796424x1.80x6.450%6.45%11.587%11.6%10-1.000000x-1.000000x1.791955x1.791955x1.79x6.808%6.81%12.199%12.2%11-1.000000x-1.000000x1.777888x1.777888x1.78x8.023%8.02%14.265%14.3%12-1.000000x-1.000000x1.719013x1.719013x1.72x4.396%4.40%7.557%7.56%13-1.000000x-1.000000x1.631077x1.631077x1.63x6.276%6.28%10.237%10.2%14-1.000000x-1.000000x1.618832x1.618832x1.62x8.221%8.22%13.308%13.3%15-1.000000x-1.000000x1.616502x1.616502x1.62x10.945%10.9%17.692%17.7%16-1.000000x-1.000000x1.583308x1.583308x1.58x8.318%8.32%13.170%13.2%17-1.000000x-1.000000x1.522449x1.522449x1.52x10.255%10.3%15.612%15.6%18-1.000000x-1.000000x1.503112x1.503112x1.50x7.493%7.49%11.263%11.3%19-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%20-1.000000x-1.000000x1.458139x1.458139x1.46x7.334%7.33%10.694%10.7%21-1.000000x-1.000000x1.429407x1.429407x1.43x9.735%9.74%13.915%13.9%22-1.000000x-1.000000x1.382644x1.382644x1.38x6.504%6.50%8.992%8.99%23-1.000000x-1.000000x1.370699x1.370699x1.37x10.043%10.0%13.766%13.8%24-1.000000x-1.000000x1.363539x1.363539x1.36x7.724%7.72%10.531%10.5%25-1.000000x-1.000000x1.361635x1.361635x1.36x10.624%10.6%14.465%14.5%26-1.000000x-1.000000x1.288505x1.288505x1.29x4.505%4.50%5.804%5.80%27-1.000000x-1.000000x1.267166x1.267166x1.27x6.870%6.87%8.706%8.71%28-1.000000x-1.000000x1.264164x1.264164x1.26x13.379%13.4%16.914%16.9%29-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.243110x1.243110x1.24x12.344%12.3%15.345%15.3%30-1.000000x-1.000000x1.221805x1.221805x1.22x5.990%5.99%7.319%7.32%31-1.000000x-1.000000x1.215741x1.215741x1.22x3.894%3.89%4.734%4.73%32-1.000000x-1.000000x1.201297x1.201297x1.20x15.124%15.1%18.168%18.2%33-1.000000x-1.000000x1.193368x1.193368x1.19x18.934%18.9%22.595%22.6%34-1.000000x-1.000000x1.153915x1.153915x1.15x6.682%6.68%7.710%7.71%35-1.000000x-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-1.000000x1.124314x1.124314x1.12x8.087%8.09%9.093%9.09%36-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.094675x1.094675x1.09x21.115%21.1%23.114%23.1%37-1.000000x-1.000000x1.092305x1.092305x1.09x11.635%11.6%12.709%12.7%38-1.000000x-1.000000x1.068893x1.068893x1.07x10.570%10.6%11.298%11.3%39-1.000000x-1.000000x1.066403x1.066403x1.07x12.086%12.1%12.888%12.9%40-1.000000x-1.000000x1.063515x1.063515x1.06x11.275%11.3%11.992%12.0%41-1.000000x-1.000000x1.060231x1.060231x1.06x8.471%8.47%8.981%8.98%42-1.000000x-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%43-1.000000x-1.000000x1.009517x1.009517x1.01x10.334%10.3%10.432%10.4%44-1.008391x-1.008391x1.01x1.000000x1.000000x13.192%13.2%13.082%13.1%45-1.037244x-1.037244x1.04x1.000000x1.000000x8.304%8.30%8.006%8.01%46-1.037887x-1.037887x1.04x1.000000x1.000000x7.945%7.95%7.655%7.66%47-1.129702x-1.129702x1.13x1.000000x1.000000x19.497%19.5%17.259%17.3%48-1.260443x-1.260443x1.26x1.000000x1.000000x23.199%23.2%18.406%18.4%49-1.472289x-1.472289x1.47x1.000000x1.000000x10.356%10.4%7.034%7.03%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County#66

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 At Large District, selected counties in At Large District, and entities that contain At Large District
Female
Male
10x5x0x5x10xFM#GrantDeweyButteMcCookCodingtonMoodyFall RiverTrippHutchinsonSpinkStanleyBrownPerkinsCharles MixHamlinLymanBrookingsMeadeBeadleUnionMinnehahaPenningtonTurnerBon HommeClayDavisonSouth DakotaSD-At LargeHughesMidwestWest North CentralLawrenceUnited StatesWalworthKingsburyToddHansonCusterLakeLincolnBruleYanktonDayDouglasGregoryDeuelBennettHandCorsonClarkRobertsEdmundsMarshallOglala LakotaJackson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.039%0.04%0.431%0.43%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.063%0.06%0.674%0.67%2-1.000000x-1.000000x4.712227x4.712227x4.71x0.222%0.22%1.048%1.05%3-1.000000x-1.000000x3.540476x3.540476x3.54x0.572%0.57%2.026%2.03%4-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%5-1.000000x-1.000000x3.329044x3.329044x3.33x0.600%0.60%1.996%2.00%6-1.000000x-1.000000x3.097239x3.097239x3.10x1.259%1.26%3.900%3.90%7-1.000000x-1.000000x3.093365x3.093365x3.09x1.071%1.07%3.313%3.31%8-1.000000x-1.000000x3.040481x3.040481x3.04x0.746%0.75%2.268%2.27%9-1.000000x-1.000000x2.782224x2.782224x2.78x0.698%0.70%1.943%1.94%10-1.000000x-1.000000x2.604159x2.604159x2.60x2.337%2.34%6.087%6.09%11-1.000000x-1.000000x2.360297x2.360297x2.36x1.560%1.56%3.681%3.68%12-1.000000x-1.000000x2.316466x2.316466x2.32x1.294%1.29%2.997%3.00%13-1.000000x-1.000000x2.229513x2.229513x2.23x1.444%1.44%3.219%3.22%14-1.000000x-1.000000x2.159494x2.159494x2.16x0.772%0.77%1.668%1.67%15-1.000000x-1.000000x2.106691x2.106691x2.11x0.601%0.60%1.266%1.27%16-1.000000x-1.000000x2.002539x2.002539x2.00x3.268%3.27%6.545%6.55%17-1.000000x-1.000000x1.974511x1.974511x1.97x1.037%1.04%2.048%2.05%18-1.000000x-1.000000x1.968511x1.968511x1.97x0.388%0.39%0.763%0.76%19-1.000000x-1.000000x1.884109x1.884109x1.88x2.837%2.84%5.345%5.34%20-1.000000x-1.000000x1.800694x1.800694x1.80x1.949%1.95%3.510%3.51%21-1.000000x-1.000000x1.766150x1.766150x1.77x2.122%2.12%3.747%3.75%22-1.000000x-1.000000x1.739185x1.739185x1.74x1.130%1.13%1.966%1.97%23-1.000000x-1.000000x1.734247x1.734247x1.73x1.222%1.22%2.120%2.12%24-1.000000x-1.000000x1.714655x1.714655x1.71x7.992%7.99%13.703%13.7%25-1.000000x-1.000000x1.712403x1.712403x1.71x0.985%0.99%1.687%1.69%26-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.606840x1.606840x1.61x2.573%2.57%4.134%4.13%27-1.000000x-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-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.487861x1.487861x1.49x1.906%1.91%2.835%2.84%29-1.000000x-1.000000x1.447171x1.447171x1.45x1.322%1.32%1.914%1.91%30-1.000000x-1.000000x1.386692x1.386692x1.39x1.005%1.00%1.393%1.39%31-1.000000x-1.000000x1.353155x1.353155x1.35x0.495%0.49%0.669%0.67%32-1.000000x-1.000000x1.347579x1.347579x1.35x1.711%1.71%2.306%2.31%33-1.000000x-1.000000x1.318591x1.318591x1.32x2.667%2.67%3.517%3.52%34-1.000000x-1.000000x1.269169x1.269169x1.27x3.680%3.68%4.670%4.67%35-1.000000x-1.000000x1.260437x1.260437x1.26x2.664%2.66%3.358%3.36%36-1.000000x-1.000000x1.097936x1.097936x1.10x2.790%2.79%3.064%3.06%37-1.000000x-1.000000x1.038045x1.038045x1.04x1.358%1.36%1.410%1.41%38-1.000000x-1.000000x1.027885x1.027885x1.03x1.777%1.78%1.827%1.83%39-1.051766x-1.051766x1.05x1.000000x1.000000x0.861%0.86%0.819%0.82%40-1.055065x-1.055065x1.06x1.000000x1.000000x1.428%1.43%1.353%1.35%41-1.329903x-1.329903x1.33x1.000000x1.000000x0.935%0.94%0.703%0.70%42-1.483682x-1.483682x1.48x1.000000x1.000000x1.757%1.76%1.184%1.18%43-1.536395x-1.536395x1.54x1.000000x1.000000x0.260%0.26%0.169%0.17%44-1.663954x-1.663954x1.66x1.000000x1.000000x0.814%0.81%0.489%0.49%45-1.705864x-1.705864x1.71x1.000000x1.000000x1.842%1.84%1.080%1.08%46-2.049655x-2.049655x2.05x1.000000x1.000000x1.969%1.97%0.961%0.96%47-3.173177x-3.173177x3.17x1.000000x1.000000x3.861%3.86%1.217%1.22%48-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.458%0.46%0.000%0%49-10.000000x-10.000000x> 10.0x1.000000x1.000000x2.309%2.31%0.000%0%50
F percentage of females in category
M percentage of males in category
# rank of county out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in At Large District

There are 1,335 county subdivisions in At Large District. This section compares the 50 most populous of those to each other, At Large District, and other entities that contain or substantially overlap with At Large District. The least populous of the compared county subdivisions has a population of 2,278.

No H.S. Diploma by County Subdivision#67

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of At Large District, selected county subdivisions in At Large District, and entities that contain At Large District
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 DakotaCongressional District (at Large)SD-At LargeBox ElderAberdeenWatertownRapid CityHot 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%49,05549.1k8.813537%8.813537%8.8%49,05549.1k8.696917%8.696917%8.7%299228.481745%8.481745%8.5%1,524238.084058%8.084058%8.1%1,181247.926704%7.926704%7.9%3,850257.445632%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#68

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of At Large District, selected county subdivisions in At Large District, and entities that contain At Large District
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 CusterChamberlainMidwestAberdeenLeadSouth DakotaCongressional District (at Large)SD-At LargeSouthwest MeadeSW MeadeFort PierreMitchellDell RapidsWest YanktonWest ButteWinnerHot SpringsMobridgeEast ToddNorth Sioux CityN Sioux CityCantonWatertownBox ElderHuronSturgisCentral PenningtonCntrl PenningtonSissetonBelle FourcheRedfieldBox ElderNorth DeweyEast 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%13,118,64213.1M28.317008%28.317008%28.3%5,0882227.568270%27.568270%27.6%6362327.450336%27.450336%27.5%152,785153k27.450336%27.450336%27.5%152,785153k27.215965%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%2464513.076923%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#69

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of At Large District, selected county subdivisions in At Large District, and entities that contain At Large District
0%5%10%Count#VermillionBig Sioux TownshipBig SiouxBrookingsMount RushmoreMt RushmoreSplit Rock TownshipSplit RockSpringdale TownshipSpringdaleSioux FallsWest HughesFort PierreWinnerSpearfishMadisonMobridgeHarrisburgTeaWest YanktonUnited States of AmericaUnited StatesHot SpringsPierreYanktonWest North CentralChamberlainRapid CityMidwestSioux FallsNorth LawrenceN LawrenceRedfieldWest CusterSouth DakotaCongressional District (at Large)SD-At LargeAberdeenSouthwest MeadeSW MeadeHartfordBrandonCentral PenningtonCntrl PenningtonSissetonBox ElderNorth Sioux CityN Sioux CityMitchellCantonLeadSturgisWest 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%313183.003304%3.003304%3.0%300192.978981%2.978981%3.0%414,980415k2.939481%2.939481%2.9%51202.927733%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%13,99414.0k2.514252%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%24331.388338%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#70

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 At Large District, selected county subdivisions in At Large District, and entities that contain At Large District
Female
Male
10x5x0x5xFM#West ButteSW MeadeCantonWest HughesHarrisburgDell RapidsHot SpringsSplit RockSioux FallsWest CusterBox ElderHartfordWest YanktonN Sioux CityMt RushmoreVermillionW Oglala LakotaSturgisWest ToddMitchellMilbankFort PierreChamberlainWatertownSissetonN LawrenceMadisonRedfieldSouth DakotaSD-At LargeAberdeenRapid CitySpringdaleWest North CentralMidwestSioux FallsUnited StatesHuronNorth DeweySpearfishLeadMobridgeEast ToddBelle FourcheWinnerBrookingsYanktonE 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-1.000000x1.524572x1.524572x1.52x9.646%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-1.000000x1.244888x1.244888x1.24x7.858%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%37-1.080159x-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%39-1.208183x-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#71

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 At Large District, selected county subdivisions in At Large District, and entities that contain At Large District
Female
Male
10x5x0x5x10xFM#North DeweyMilbankEast ToddRedfieldWatertownN Sioux CityWinnerWest YanktonHot SpringsFort PierreHuronChamberlainAberdeenPierreCntrl PenningtonMt RushmoreBelle FourcheSpearfishSW MeadeVermillionSplit RockBrookingsSioux FallsMitchellCantonBig SiouxSturgisSioux FallsSouth DakotaSD-At LargeMobridgeMidwestWest North CentralUnited StatesRapid CityBox ElderWest ToddBrandonN LawrenceTeaYanktonWest CusterMadisonSpringdaleLeadDell RapidsHarrisburgHartfordSissetonWest HughesW Oglala LakotaBox Elder-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-1.000000x1.656908x1.656908x1.66x1.896%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-1.000000x1.082861x1.082861x1.08x1.929%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 Congressional District in South Dakota

There is 1 congressional district in South Dakota. This section compares At Large District to all of the congressional districts in South Dakota and to those entities that contain or substantially overlap with At Large District.

No H.S. Diploma by Congressional District#72

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of At Large District, selected other congressional districts in South Dakota, and entities that contain At Large District
0%5%10%Count#United States of AmericaUnited StatesMidwestWest North CentralSouth DakotaCongressional District (at Large)SD-At Large13.020590%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%49,05549.1k8.813537%8.813537%8.8%49,05549.1k1
Count number of people in category
# rank of congressional district out of 1 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Congressional District#73

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of At Large District, selected other congressional districts in South Dakota, and entities that contain At Large District
0%10%20%30%Count#United States of AmericaUnited StatesWest North CentralMidwestSouth DakotaCongressional District (at Large)SD-At Large30.315023%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%152,785153k27.450336%27.450336%27.5%152,785153k1
Count number of people in category
# rank of congressional district out of 1 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Congressional District#74

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of At Large District, selected other congressional districts in South Dakota, and entities that contain At Large District
0%1%2%3%Count#United States of AmericaUnited StatesWest North CentralMidwestSouth DakotaCongressional District (at Large)SD-At Large3.336158%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%13,99414.0k2.514252%2.514252%2.5%13,99414.0k1
Count number of people in category
# rank of congressional district out of 1 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 Congressional District#75

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 At Large District, selected other congressional districts in South Dakota, and entities that contain At Large District
Female
Male
1x0x1xFM#South DakotaSD-At LargeWest North CentralMidwestUnited States-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%1-1.000000x-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 congressional district out of 1 by male-to-female sex ratio

Over-Education Sex Ratio by Congressional District#76

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 At Large District, selected other congressional districts in South Dakota, and entities that contain At Large District
Female
Male
1x0x1xFM#South DakotaSD-At LargeMidwestWest North CentralUnited States-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%1-1.000000x-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%
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 1 by male-to-female sex ratio

Educational Attainment by Congressional District in the Midwest

There are 94 congressional districts in the Midwest. This section compares At Large District to all of the congressional districts in the Midwest and to those entities that contain or substantially overlap with At Large District.

No H.S. Diploma by Congressional District#77

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of At Large District, selected other congressional districts in the Midwest, and entities that contain At Large District
0%10%20%30%Count#Congressional District 4IL-4Congressional District 13MI-13Congressional District 8MO-8Congressional District 7IN-7Congressional District 4WI-4Congressional District 3IL-3Congressional District 2IN-2Congressional District 7IL-7Congressional District 11OH-11Congressional District 8IL-8Congressional District 9OH-9Congressional District 11IL-11Congressional District 14MI-14Congressional District 3OH-3United States of AmericaUnited StatesCongressional District 17IL-17Congressional District 2IL-2Congressional District 3IN-3Congressional District 1MO-1Congressional District 6OH-6Congressional District 7OH-7Congressional District 1KS-1Congressional District 6IN-6Congressional District 8IN-8Congressional District 7MO-7Congressional District 4MO-4Congressional District 1IN-1Congressional District 1IL-1Congressional District 10IL-10Congressional District 15IL-15Congressional District 5MI-5Congressional District 9MI-9Congressional District 3MO-3MidwestCongressional District 6MI-6Congressional District 10MI-10West North CentralSouth DakotaCongressional District (at Large)SD-At LargeCongressional District 13IL-13Congressional District 2IA-2Congressional District 8WI-8Congressional District 3IA-3Congressional District 1IA-1Congressional District 5OH-5Congressional District 5WI-5Congressional District 11MI-11Congressional District 6IL-6Congressional District 2MN-2Congressional District 2MO-2Congressional District 3MN-330.141643%30.141643%30.1%133,085133k118.634314%18.634314%18.6%82,08982.1k217.767302%17.767302%17.8%90,26590.3k316.917632%16.917632%16.9%80,63480.6k415.532707%15.532707%15.5%69,64469.6k515.034958%15.034958%15.0%71,99772.0k615.000456%15.000456%15.0%70,65870.7k714.958884%14.958884%15.0%73,32873.3k814.304631%14.304631%14.3%66,86966.9k914.095465%14.095465%14.1%68,01468.0k1013.687459%13.687459%13.7%65,77765.8k1113.660002%13.660002%13.7%62,96163.0k1213.553107%13.553107%13.6%62,68862.7k1313.077324%13.077324%13.1%62,96363.0k1413.020590%13.020590%13.0%27,818,38027.8M12.769470%12.769470%12.8%60,48460.5k1512.689774%12.689774%12.7%58,64358.6k1612.614072%12.614072%12.6%59,97660.0k1712.572102%12.572102%12.6%62,37962.4k1812.498748%12.498748%12.5%62,38262.4k1912.493014%12.493014%12.5%61,47161.5k2012.160129%12.160129%12.2%55,05055.1k2111.868592%11.868592%11.9%57,29157.3k2211.713000%11.713000%11.7%57,00657.0k2311.690346%11.690346%11.7%59,17759.2k2411.682939%11.682939%11.7%57,41357.4k2511.545342%11.545342%11.5%55,56955.6k2611.387814%11.387814%11.4%53,74953.7k2711.323888%11.323888%11.3%52,91852.9k2811.305260%11.305260%11.3%54,55554.6k2911.147167%11.147167%11.1%52,28352.3k3010.720627%10.720627%10.7%54,46454.5k3410.502117%10.502117%10.5%54,29554.3k4010.244520%10.244520%10.2%4,641,8354.64M9.843731%9.843731%9.8%46,24946.2k479.413851%9.413851%9.4%46,65946.7k549.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.813537%8.813537%8.8%49,05549.1k608.362915%8.362915%8.4%38,09538.1k678.218512%8.218512%8.2%42,27842.3k707.971283%7.971283%8.0%39,42739.4k747.918533%7.918533%7.9%42,19242.2k767.837143%7.837143%7.8%40,09240.1k787.542641%7.542641%7.5%36,66936.7k806.148358%6.148358%6.1%30,86930.9k875.622517%5.622517%5.6%28,13828.1k905.474269%5.474269%5.5%27,06927.1k915.446212%5.446212%5.4%24,70524.7k925.191202%5.191202%5.2%27,82527.8k934.566973%4.566973%4.6%21,99522.0k94
Count number of people in category
# rank of congressional district out of 94 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Congressional District#78

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of At Large District, selected other congressional districts in the Midwest, and entities that contain At Large District
0%10%20%30%40%50%Count#Congressional District 5IL-5Congressional District 9IL-9Congressional District 6IL-6Congressional District 2MO-2Congressional District 3MN-3Congressional District 11MI-11Congressional District 3KS-3Congressional District 5MN-5Congressional District 10IL-10Congressional District 5IN-5Congressional District 4MN-4Congressional District 2WI-2Congressional District 7IL-7Congressional District 12OH-12Congressional District 14IL-14Congressional District 8MI-8Congressional District 2NE-2Congressional District 2MN-2Congressional District 5WI-5Congressional District 11IL-11Congressional District 14OH-14Congressional District 12MI-12Congressional District 1OH-1Congressional District 8IL-8Congressional District 16OH-16Congressional District 3IA-3Congressional District 18IL-18Congressional District 1MO-1Congressional District 2OH-2United States of AmericaUnited StatesCongressional District 15OH-15West North CentralCongressional District 3MI-3MidwestCongressional District 2KS-2Congressional District 2IA-2South DakotaCongressional District (at Large)SD-At LargeCongressional District 4WI-4Congressional District 1IA-1Congressional District 5OH-5Congressional District 3MO-3Congressional District 4IA-4Congressional District 12IL-12Congressional District 9OH-9Congressional District 7OH-7Congressional District 17IL-17Congressional District 4OH-4Congressional District 6OH-6Congressional District 8MO-8Congressional District 13MI-1352.306793%52.306793%52.3%276,455276k152.107696%52.107696%52.1%266,460266k250.932399%50.932399%50.9%251,849252k348.249357%48.249357%48.2%258,618259k447.756899%47.756899%47.8%230,002230k545.842558%45.842558%45.8%229,420229k645.583030%45.583030%45.6%224,604225k744.031685%44.031685%44.0%207,059207k843.735783%43.735783%43.7%204,383204k943.628513%43.628513%43.6%219,670220k1042.585742%42.585742%42.6%195,354195k1140.234518%40.234518%40.2%197,228197k1239.694041%39.694041%39.7%194,579195k1339.608479%39.608479%39.6%200,996201k1439.604351%39.604351%39.6%187,647188k1539.414573%39.414573%39.4%184,999185k1638.389255%38.389255%38.4%159,859160k1737.892015%37.892015%37.9%171,885172k1835.725169%35.725169%35.7%179,365179k1934.822690%34.822690%34.8%160,503161k2033.703549%33.703549%33.7%170,028170k2133.161081%33.161081%33.2%150,931151k2233.114299%33.114299%33.1%158,692159k2332.972453%32.972453%33.0%159,100159k2432.440181%32.440181%32.4%164,631165k2531.999377%31.999377%32.0%170,501171k2631.650004%31.650004%31.7%154,866155k2730.482294%30.482294%30.5%151,244151k2830.461895%30.461895%30.5%152,067152k2930.315023%30.315023%30.3%64,767,78764.8M30.211818%30.211818%30.2%152,002152k3030.056536%30.056536%30.1%4,186,9564.19M29.851008%29.851008%29.9%142,912143k3428.952816%28.952816%29.0%13,118,64213.1M27.726092%27.726092%27.7%129,101129k4027.617491%27.617491%27.6%142,071142k4127.450336%27.450336%27.5%152,785153k27.450336%27.450336%27.5%152,785153k4227.119789%27.119789%27.1%121,597122k4725.456248%25.456248%25.5%130,225130k5325.241281%25.241281%25.2%122,712123k5424.463869%24.463869%24.5%126,476126k6023.325587%23.325587%23.3%116,634117k6722.095757%22.095757%22.1%105,821106k7421.603574%21.603574%21.6%103,819104k8019.547682%19.547682%19.5%96,18396.2k8718.342443%18.342443%18.3%86,88186.9k9016.955922%16.955922%17.0%82,06782.1k9115.614519%15.614519%15.6%77,93377.9k9215.322219%15.322219%15.3%77,84377.8k9314.511289%14.511289%14.5%63,92663.9k94
Count number of people in category
# rank of congressional district out of 94 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Congressional District#79

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of At Large District, selected other congressional districts in the Midwest, and entities that contain At Large District
0%2%4%6%Count#Congressional District 9IL-9Congressional District 7IL-7Congressional District 5IL-5Congressional District 4MN-4Congressional District 10IL-10Congressional District 2MO-2Congressional District 12MI-12Congressional District 2WI-2Congressional District 5IN-5Congressional District 5MN-5Congressional District 6IL-6Congressional District 11MI-11Congressional District 3KS-3Congressional District 8MI-8Congressional District 3MN-3Congressional District 11OH-11Congressional District 12OH-12Congressional District 1MO-1Congressional District 2NE-2Congressional District 14MI-14Congressional District 13IL-13Congressional District 14OH-14Congressional District 15OH-15Congressional District 1MN-1Congressional District 1OH-1United States of AmericaUnited StatesCongressional District 2IA-2Congressional District 2OH-2Congressional District 16OH-16Congressional District 5WI-5Congressional District 9MI-9West North CentralCongressional District 14IL-14MidwestCongressional District 3IA-3Congressional District 4WI-4South DakotaCongressional District (at Large)SD-At LargeCongressional District 3OH-3Congressional District 3IL-3Congressional District 1IA-1Congressional District 1WI-1Congressional District 4MI-4Congressional District 1IN-1Congressional District 2IL-2Congressional District 3MO-3Congressional District 17IL-17Congressional District 4OH-4Congressional District 15IL-15Congressional District 6OH-6Congressional District 13MI-136.885897%6.885897%6.9%35,21235.2k16.803999%6.803999%6.8%33,35333.4k26.219562%6.219562%6.2%32,87232.9k35.679799%5.679799%5.7%26,05526.1k45.516859%5.516859%5.5%25,78125.8k55.400903%5.400903%5.4%28,94928.9k65.340496%5.340496%5.3%24,30724.3k75.331949%5.331949%5.3%26,13726.1k85.304061%5.304061%5.3%26,70626.7k95.153216%5.153216%5.2%24,23324.2k104.898104%4.898104%4.9%24,22024.2k114.732722%4.732722%4.7%23,68523.7k124.586838%4.586838%4.6%22,60122.6k134.532700%4.532700%4.5%21,27521.3k144.472083%4.472083%4.5%21,53821.5k154.255515%4.255515%4.3%19,89319.9k164.161732%4.161732%4.2%21,11921.1k174.118548%4.118548%4.1%20,43520.4k184.020018%4.020018%4.0%16,74016.7k193.966826%3.966826%4.0%18,34818.3k203.785319%3.785319%3.8%17,24317.2k213.485562%3.485562%3.5%17,58417.6k223.461791%3.461791%3.5%17,41717.4k233.354078%3.354078%3.4%14,87514.9k243.353957%3.353957%3.4%16,07316.1k253.336158%3.336158%3.3%7,127,6737.13M3.283284%3.283284%3.3%16,89016.9k263.251977%3.251977%3.3%16,23416.2k273.170697%3.170697%3.2%16,09116.1k283.150563%3.150563%3.2%15,81815.8k293.053560%3.053560%3.1%15,51315.5k302.978981%2.978981%3.0%414,980415k2.935813%2.935813%2.9%13,91013.9k342.893416%2.893416%2.9%1,311,0191.31M2.838450%2.838450%2.8%15,12415.1k372.829137%2.829137%2.8%12,68512.7k402.514252%2.514252%2.5%13,99414.0k2.514252%2.514252%2.5%13,99414.0k462.492175%2.492175%2.5%11,99912.0k472.312139%2.312139%2.3%11,07211.1k542.237452%2.237452%2.2%11,44611.4k572.126688%2.126688%2.1%10,38910.4k602.057704%2.057704%2.1%9,740671.849532%1.849532%1.8%8,902741.721385%1.721385%1.7%7,955801.513566%1.513566%1.5%7,825871.378412%1.378412%1.4%6,529901.357846%1.357846%1.4%6,572911.239009%1.239009%1.2%5,979921.236611%1.236611%1.2%6,172931.098914%1.098914%1.1%4,84194
Count number of people in category
# rank of congressional district out of 94 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 Congressional District#80

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 At Large District, selected other congressional districts in the Midwest, and entities that contain At Large District
Female
Male
1x0x1xFM#MI-1MN-6WI-1WI-7WI-6MN-8MI-4WI-3WI-8OH-15IA-4MN-7IA-1South DakotaSD-At LargeIA-3IL-15IL-2MI-7MN-1WI-2ND-At LargeNE-3IL-18MI-3IL-16NE-2MI-14OH-12MI-6NE-1MI-13OH-14MI-10West North CentralIA-2MidwestOH-9IN-3United StatesIN-8IL-3IN-9MN-3MN-5IL-5IL-6IL-9MO-2-1.000000x-1.000000x1.341400x1.341400x1.34x7.178%7.18%9.629%9.63%1-1.000000x-1.000000x1.319854x1.319854x1.32x4.848%4.85%6.399%6.40%2-1.000000x-1.000000x1.308277x1.308277x1.31x7.523%7.52%9.842%9.84%3-1.000000x-1.000000x1.302339x1.302339x1.30x7.589%7.59%9.883%9.88%4-1.000000x-1.000000x1.296739x1.296739x1.30x7.252%7.25%9.404%9.40%5-1.000000x-1.000000x1.287829x1.287829x1.29x6.602%6.60%8.503%8.50%6-1.000000x-1.000000x1.286539x1.286539x1.29x8.571%8.57%11.027%11.0%7-1.000000x-1.000000x1.284574x1.284574x1.28x6.983%6.98%8.971%8.97%8-1.000000x-1.000000x1.268430x1.268430x1.27x7.039%7.04%8.928%8.93%9-1.000000x-1.000000x1.259029x1.259029x1.26x8.360%8.36%10.525%10.5%10-1.000000x-1.000000x1.257883x1.257883x1.26x8.062%8.06%10.141%10.1%11-1.000000x-1.000000x1.247546x1.247546x1.25x8.112%8.11%10.119%10.1%12-1.000000x-1.000000x1.247209x1.247209x1.25x6.992%6.99%8.720%8.72%13-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%14-1.000000x-1.000000x1.244138x1.244138x1.24x7.081%7.08%8.810%8.81%15-1.000000x-1.000000x1.243372x1.243372x1.24x10.096%10.1%12.553%12.6%16-1.000000x-1.000000x1.240260x1.240260x1.24x11.452%11.5%14.204%14.2%17-1.000000x-1.000000x1.233102x1.233102x1.23x7.962%7.96%9.818%9.82%18-1.000000x-1.000000x1.224045x1.224045x1.22x7.758%7.76%9.496%9.50%19-1.000000x-1.000000x1.217863x1.217863x1.22x5.774%5.77%7.032%7.03%20-1.000000x-1.000000x1.216853x1.216853x1.22x7.174%7.17%8.730%8.73%21-1.000000x-1.000000x1.209955x1.209955x1.21x9.472%9.47%11.461%11.5%22-1.000000x-1.000000x1.207338x1.207338x1.21x6.288%6.29%7.592%7.59%23-1.000000x-1.000000x1.206208x1.206208x1.21x8.810%8.81%10.627%10.6%24-1.000000x-1.000000x1.199250x1.199250x1.20x8.915%8.92%10.691%10.7%25-1.000000x-1.000000x1.195514x1.195514x1.20x8.642%8.64%10.332%10.3%26-1.000000x-1.000000x1.192870x1.192870x1.19x12.457%12.5%14.859%14.9%27-1.000000x-1.000000x1.191056x1.191056x1.19x6.625%6.63%7.891%7.89%28-1.000000x-1.000000x1.187599x1.187599x1.19x9.025%9.02%10.718%10.7%29-1.000000x-1.000000x1.187583x1.187583x1.19x7.335%7.33%8.711%8.71%30-1.000000x-1.000000x1.173998x1.173998x1.17x17.249%17.2%20.251%20.3%34-1.000000x-1.000000x1.150580x1.150580x1.15x7.579%7.58%8.721%8.72%40-1.000000x-1.000000x1.137918x1.137918x1.14x8.821%8.82%10.038%10.0%47-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.134419x1.134419x1.13x7.710%7.71%8.747%8.75%48-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.121510x1.121510x1.12x12.940%12.9%14.512%14.5%54-1.000000x-1.000000x1.109380x1.109380x1.11x11.981%12.0%13.291%13.3%60-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.096613x1.096613x1.10x11.183%11.2%12.264%12.3%67-1.000000x-1.000000x1.073708x1.073708x1.07x14.514%14.5%15.584%15.6%74-1.000000x-1.000000x1.042685x1.042685x1.04x10.466%10.5%10.913%10.9%80-1.003867x-1.003867x1.00x1.000000x1.000000x4.575%4.58%4.558%4.56%87-1.012044x-1.012044x1.01x1.000000x1.000000x9.932%9.93%9.814%9.81%90-1.033125x-1.033125x1.03x1.000000x1.000000x9.063%9.06%8.773%8.77%91-1.052215x-1.052215x1.05x1.000000x1.000000x5.608%5.61%5.330%5.33%92-1.091772x-1.091772x1.09x1.000000x1.000000x9.010%9.01%8.252%8.25%93-1.092786x-1.092786x1.09x1.000000x1.000000x5.407%5.41%4.948%4.95%94
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 94 by male-to-female sex ratio

Over-Education Sex Ratio by Congressional District#81

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 At Large District, selected other congressional districts in the Midwest, and entities that contain At Large District
Female
Male
1x0x1x2xFM#OH-10OH-8IN-3NE-3IN-2OH-13MO-2MI-14IL-18OH-6MN-7WI-6MI-9MO-7IA-4IL-10KS-4IL-16MI-6IN-8IL-17IL-6MI-4MI-1OH-14WI-7IN-6IN-1MI-3OH-4MI-5South DakotaSD-At LargeIA-3OH-15WI-1MidwestIA-1West North CentralIA-2United StatesMO-8MI-8IL-14MI-10MN-5IL-5IL-2MI-13IL-4-1.000000x-1.000000x2.105558x2.105558x2.11x1.865%1.86%3.926%3.93%1-1.000000x-1.000000x2.026482x2.026482x2.03x1.198%1.20%2.427%2.43%2-1.000000x-1.000000x1.985310x1.985310x1.99x1.222%1.22%2.426%2.43%3-1.000000x-1.000000x1.961119x1.961119x1.96x1.183%1.18%2.321%2.32%4-1.000000x-1.000000x1.952119x1.952119x1.95x1.413%1.41%2.759%2.76%5-1.000000x-1.000000x1.930819x1.930819x1.93x1.370%1.37%2.645%2.65%6-1.000000x-1.000000x1.925024x1.925024x1.93x3.762%3.76%7.242%7.24%7-1.000000x-1.000000x1.924471x1.924471x1.92x2.790%2.79%5.369%5.37%8-1.000000x-1.000000x1.904877x1.904877x1.90x2.002%2.00%3.814%3.81%9-1.000000x-1.000000x1.903849x1.903849x1.90x0.857%0.86%1.631%1.63%10-1.000000x-1.000000x1.879669x1.879669x1.88x1.225%1.23%2.303%2.30%11-1.000000x-1.000000x1.864877x1.864877x1.86x1.478%1.48%2.755%2.76%12-1.000000x-1.000000x1.860552x1.860552x1.86x2.169%2.17%4.035%4.03%13-1.000000x-1.000000x1.851898x1.851898x1.85x1.536%1.54%2.845%2.85%14-1.000000x-1.000000x1.846945x1.846945x1.85x1.644%1.64%3.036%3.04%15-1.000000x-1.000000x1.827402x1.827402x1.83x3.940%3.94%7.200%7.20%16-1.000000x-1.000000x1.808780x1.808780x1.81x1.505%1.51%2.723%2.72%17-1.000000x-1.000000x1.803280x1.803280x1.80x1.329%1.33%2.397%2.40%18-1.000000x-1.000000x1.787441x1.787441x1.79x1.914%1.91%3.421%3.42%19-1.000000x-1.000000x1.756914x1.756914x1.76x1.175%1.17%2.064%2.06%20-1.000000x-1.000000x1.756351x1.756351x1.76x1.008%1.01%1.771%1.77%21-1.000000x-1.000000x1.754774x1.754774x1.75x3.594%3.59%6.307%6.31%22-1.000000x-1.000000x1.748582x1.748582x1.75x1.503%1.50%2.628%2.63%23-1.000000x-1.000000x1.743059x1.743059x1.74x1.731%1.73%3.018%3.02%24-1.000000x-1.000000x1.734968x1.734968x1.73x2.579%2.58%4.474%4.47%25-1.000000x-1.000000x1.732699x1.732699x1.73x1.437%1.44%2.491%2.49%26-1.000000x-1.000000x1.730248x1.730248x1.73x1.171%1.17%2.026%2.03%27-1.000000x-1.000000x1.725295x1.725295x1.73x1.372%1.37%2.367%2.37%28-1.000000x-1.000000x1.723399x1.723399x1.72x1.972%1.97%3.398%3.40%29-1.000000x-1.000000x1.706877x1.706877x1.71x1.008%1.01%1.720%1.72%30-1.000000x-1.000000x1.696167x1.696167x1.70x1.205%1.20%2.043%2.04%34-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%40-1.000000x-1.000000x1.651247x1.651247x1.65x2.158%2.16%3.563%3.56%42-1.000000x-1.000000x1.637203x1.637203x1.64x2.629%2.63%4.304%4.30%47-1.000000x-1.000000x1.597387x1.597387x1.60x1.647%1.65%2.631%2.63%54-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.573289x1.573289x1.57x1.747%1.75%2.749%2.75%60-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.571318x1.571318x1.57x2.565%2.56%4.030%4.03%61-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.520656x1.520656x1.52x1.192%1.19%1.813%1.81%67-1.000000x-1.000000x1.479666x1.479666x1.48x3.679%3.68%5.444%5.44%74-1.000000x-1.000000x1.415167x1.415167x1.42x2.443%2.44%3.457%3.46%80-1.000000x-1.000000x1.327205x1.327205x1.33x1.371%1.37%1.820%1.82%87-1.000000x-1.000000x1.261516x1.261516x1.26x4.564%4.56%5.758%5.76%90-1.000000x-1.000000x1.232174x1.232174x1.23x5.588%5.59%6.886%6.89%91-1.000000x-1.000000x1.195057x1.195057x1.20x1.583%1.58%1.891%1.89%92-1.000000x-1.000000x1.179013x1.179013x1.18x1.015%1.02%1.197%1.20%93-1.000000x-1.000000x1.129302x1.129302x1.13x1.557%1.56%1.758%1.76%94
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 94 by male-to-female sex ratio

Educational Attainment by Congressional District in the United States

There are 435 congressional districts in the United States. This section compares At Large District to all of the congressional districts in the United States and to those entities that contain or substantially overlap with At Large District.

No H.S. Diploma by Congressional District#82

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of At Large District, selected other congressional districts in the United States, and entities that contain At Large District
0%10%20%30%40%Count#Congressional District 40CA-40Congressional District 33TX-33Congressional District 21CA-21Congressional District 29TX-29Congressional District 44CA-44Congressional District 15NY-15Congressional District 34CA-34Congressional District 46CA-46Congressional District 16CA-16Congressional District 34TX-34Congressional District 7AZ-7Congressional District 29CA-29Congressional District 51CA-51Congressional District 15TX-15Congressional District 4IL-4Congressional District 35CA-35Congressional District 28TX-28Congressional District 7NY-7Congressional District 13NY-13Congressional District 41CA-41Congressional District 32CA-32Congressional District 23TX-23Congressional District 5KY-5Congressional District 20CA-20Congressional District 3AZ-3Congressional District 14NY-14Congressional District 18TX-18Congressional District 30TX-30Congressional District 1NV-1Congressional District 35TX-35Congressional District 9TX-9Congressional District 2LA-2Congressional District 16PA-16Congressional District 1RI-1Congressional District 14MI-14United States of AmericaUnited StatesCongressional District 11FL-11Congressional District 2TN-2Congressional District (at Large)DE-At LargeCongressional District 2AR-2Congressional District 11GA-11MidwestCongressional District 1ID-1Congressional District 3WA-3West North CentralSouth DakotaCongressional District (at Large)SD-At LargeCongressional District 9IL-9Congressional District 3KS-3Congressional District (at Large)MT-At LargeCongressional District 5MA-5Congressional District 2MO-2Congressional District 52CA-52Congressional District 3MN-3Congressional District 33CA-33Congressional District 2CO-247.468013%47.468013%47.5%196,444196k141.895182%41.895182%41.9%173,268173k241.728347%41.728347%41.7%167,836168k340.503091%40.503091%40.5%170,211170k436.758853%36.758853%36.8%158,302158k535.998852%35.998852%36.0%159,278159k635.509208%35.509208%35.5%172,791173k734.057487%34.057487%34.1%152,066152k833.810434%33.810434%33.8%140,788141k933.305378%33.305378%33.3%141,375141k1032.353694%32.353694%32.4%141,528142k1131.975815%31.975815%32.0%147,601148k1231.783420%31.783420%31.8%141,222141k1330.444124%30.444124%30.4%131,490131k1430.141643%30.141643%30.1%133,085133k1530.040310%30.040310%30.0%132,652133k1629.340209%29.340209%29.3%125,278125k1729.220749%29.220749%29.2%145,678146k1826.522530%26.522530%26.5%138,633139k1925.392786%25.392786%25.4%110,645111k2025.339311%25.339311%25.3%119,150119k2125.224642%25.224642%25.2%114,141114k2225.045774%25.045774%25.0%122,563123k2324.820626%24.820626%24.8%113,639114k2424.764030%24.764030%24.8%107,517108k2524.715848%24.715848%24.7%124,905125k2624.173459%24.173459%24.2%112,855113k2724.084618%24.084618%24.1%110,914111k2823.663311%23.663311%23.7%108,041108k2923.640432%23.640432%23.6%112,419112k3022.620259%22.620259%22.6%106,745107k3218.250431%18.250431%18.3%95,00795.0k6316.048021%16.048021%16.0%75,80775.8k9414.855813%14.855813%14.9%53,73653.7k12513.553107%13.553107%13.6%62,68862.7k15613.020590%13.020590%13.0%27,818,38027.8M12.338892%12.338892%12.3%70,56670.6k18711.698312%11.698312%11.7%57,98958.0k21811.194308%11.194308%11.2%71,74671.7k23410.914877%10.914877%10.9%54,63354.6k24910.427848%10.427848%10.4%50,53750.5k28010.244520%10.244520%10.2%4,641,8354.64M9.752367%9.752367%9.8%53,30053.3k3059.654636%9.654636%9.7%45,82145.8k3119.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.813537%8.813537%8.8%49,05549.1k3378.644136%8.644136%8.6%44,20344.2k3427.892259%7.892259%7.9%38,88838.9k3737.105467%7.105467%7.1%49,62749.6k4026.967673%6.967673%7.0%37,02937.0k4045.191202%5.191202%5.2%27,82527.8k4314.853778%4.853778%4.9%24,97425.0k4324.566973%4.566973%4.6%21,99522.0k4334.122488%4.122488%4.1%21,22921.2k4343.793326%3.793326%3.8%19,49819.5k435
Count number of people in category
# rank of congressional district out of 435 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by Congressional District#83

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of At Large District, selected other congressional districts in the United States, and entities that contain At Large District
0%20%40%60%Count#Congressional District 12NY-12Congressional District 33CA-33Congressional District 8VA-8Congressional District 18CA-18Congressional District 10NY-10Congressional District 6GA-6Congressional District 7WA-7Congressional District 52CA-52Congressional District 12CA-12Congressional District 5MA-5Congressional District 17CA-17Congressional District 11VA-11Congressional District 10VA-10Congressional District 8MD-8Congressional District 45CA-45Congressional District 2CO-2Congressional District 3TX-3Congressional District 5IL-5Congressional District 4NC-4Congressional District 11NJ-11Congressional District 9IL-9Congressional District 3NY-3Congressional District 7NJ-7Congressional District 6IL-6Congressional District 4MA-4Congressional District 7TX-7Congressional District 4CT-4Congressional District 2MO-2Congressional District 3MN-3Congressional District 3MD-3Congressional District 13CA-13Congressional District 6MD-6Congressional District 2MA-2Congressional District 2PA-2Congressional District 12PA-12Congressional District (at Large)DE-At LargeUnited States of AmericaUnited StatesWest North CentralCongressional District (at Large)MT-At LargeMidwestCongressional District 15PA-15South DakotaCongressional District (at Large)SD-At LargeCongressional District 5MO-5Congressional District 3PA-3Congressional District 1ID-1Congressional District 7MI-7Congressional District 13OH-13Congressional District 13TX-13Congressional District 28TX-28Congressional District 16CA-16Congressional District 33TX-33Congressional District 29TX-29Congressional District 40CA-40Congressional District 21CA-2171.122671%71.122671%71.1%410,732411k163.288126%63.288126%63.3%325,906326k261.111300%61.111300%61.1%341,328341k360.496799%60.496799%60.5%309,109309k459.813240%59.813240%59.8%312,965313k559.078506%59.078506%59.1%294,670295k658.198334%58.198334%58.2%313,625314k756.769033%56.769033%56.8%292,092292k856.324604%56.324604%56.3%332,946333k955.128895%55.128895%55.1%292,977293k1054.885035%54.885035%54.9%287,518288k1154.446582%54.446582%54.4%284,148284k1254.422183%54.422183%54.4%282,991283k1353.815598%53.815598%53.8%282,068282k1453.458475%53.458475%53.5%273,284273k1553.287303%53.287303%53.3%273,901274k1652.310551%52.310551%52.3%269,154269k1752.306793%52.306793%52.3%276,455276k1852.266414%52.266414%52.3%275,075275k1952.126832%52.126832%52.1%272,027272k2052.107696%52.107696%52.1%266,460266k2151.450492%51.450492%51.5%262,610263k2251.435398%51.435398%51.4%262,194262k2350.932399%50.932399%50.9%251,849252k2449.503559%49.503559%49.5%250,738251k2548.976166%48.976166%49.0%244,490244k2648.736480%48.736480%48.7%239,667240k2748.249357%48.249357%48.2%258,618259k2847.756899%47.756899%47.8%230,002230k2946.635732%46.635732%46.6%242,115242k3046.128814%46.128814%46.1%238,712239k3241.184058%41.184058%41.2%210,084210k6337.292503%37.292503%37.3%183,500184k9434.258327%34.258327%34.3%160,219160k12532.083230%32.083230%32.1%164,013164k15630.475336%30.475336%30.5%195,321195k17130.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.934396%29.934396%29.9%209,072209k18728.952816%28.952816%29.0%13,118,64213.1M28.195299%28.195299%28.2%138,797139k21827.450336%27.450336%27.5%152,785153k27.450336%27.450336%27.5%152,785153k23326.587233%26.587233%26.6%136,049136k24924.732927%24.732927%24.7%120,320120k28024.524183%24.524183%24.5%134,033134k28623.322039%23.322039%23.3%112,881113k31121.659636%21.659636%21.7%106,393106k34219.922526%19.922526%19.9%91,28991.3k37317.721507%17.721507%17.7%75,66875.7k40412.013333%12.013333%12.0%50,02450.0k4319.377017%9.377017%9.4%38,78138.8k4329.275608%9.275608%9.3%38,98039.0k4339.158018%9.158018%9.2%37,90037.9k4348.126580%8.126580%8.1%32,68632.7k435
Count number of people in category
# rank of congressional district out of 435 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by Congressional District#84

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of At Large District, selected other congressional districts in the United States, and entities that contain At Large District
0%5%10%Count#Congressional District 12NY-12Congressional District 8MD-8Congressional District 33CA-33Congressional District 10NY-10Congressional District 18CA-18Congressional District 8VA-8Congressional District 5MA-5Congressional District 52CA-52Congressional District 4MA-4Congressional District 7WA-7Congressional District 3NY-3Congressional District 12CA-12Congressional District 13CA-13Congressional District 3MD-3Congressional District 45CA-45Congressional District 4NC-4Congressional District 7TX-7Congressional District 9IL-9Congressional District 2CO-2Congressional District 7IL-7Congressional District 27FL-27Congressional District 7MA-7Congressional District 2PA-2Congressional District 7NJ-7Congressional District 6MD-6Congressional District 17NY-17Congressional District 5IL-5Congressional District 11NJ-11Congressional District 4CT-4Congressional District 2CA-2Congressional District 6GA-6Congressional District 22FL-22Congressional District 1SC-1Congressional District 2CT-2Congressional District (at Large)DE-At LargeCongressional District 5MD-5United States of AmericaUnited StatesCongressional District 2MD-2Congressional District (at Large)MT-At LargeWest North CentralMidwestCongressional District 10OH-10Congressional District 4KY-4South DakotaCongressional District (at Large)SD-At LargeCongressional District 25FL-25Congressional District 1ID-1Congressional District 1AL-1Congressional District 3SC-3Congressional District 8WI-8Congressional District 8CA-8Congressional District 44CA-44Congressional District 21CA-21Congressional District 29TX-29Congressional District 33TX-33Congressional District 40CA-4012.326103%12.326103%12.3%71,18371.2k111.620031%11.620031%11.6%60,90560.9k211.284848%11.284848%11.3%58,11258.1k310.803517%10.803517%10.8%56,52856.5k410.597689%10.597689%10.6%54,14954.1k59.764115%9.764115%9.8%54,53654.5k69.226253%9.226253%9.2%49,03249.0k79.156565%9.156565%9.2%47,11347.1k88.717979%8.717979%8.7%44,15744.2k98.189426%8.189426%8.2%44,13244.1k108.159863%8.159863%8.2%41,64941.6k117.811781%7.811781%7.8%46,17746.2k127.676090%7.676090%7.7%39,72339.7k137.150754%7.150754%7.2%37,12437.1k146.985024%6.985024%7.0%35,70835.7k156.941177%6.941177%6.9%36,53136.5k166.930461%6.930461%6.9%34,59734.6k176.885897%6.885897%6.9%35,21235.2k186.863512%6.863512%6.9%35,27935.3k196.803999%6.803999%6.8%33,35333.4k206.788966%6.788966%6.8%36,92636.9k216.716530%6.716530%6.7%34,12434.1k226.632968%6.632968%6.6%31,02131.0k236.623391%6.623391%6.6%33,76333.8k246.451550%6.451550%6.5%32,91032.9k256.356207%6.356207%6.4%31,02731.0k266.219562%6.219562%6.2%32,87232.9k276.028675%6.028675%6.0%31,46131.5k286.017354%6.017354%6.0%29,59129.6k295.943359%5.943359%5.9%30,39630.4k305.889005%5.889005%5.9%29,37329.4k324.921370%4.921370%4.9%26,50026.5k634.189886%4.189886%4.2%21,21021.2k943.744249%3.744249%3.7%18,22018.2k1253.481585%3.481585%3.5%22,31422.3k1483.431049%3.431049%3.4%17,11517.1k1563.336158%3.336158%3.3%7,127,6737.13M3.108858%3.108858%3.1%15,67815.7k1873.002861%3.002861%3.0%20,97321.0k1972.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.838410%2.838410%2.8%13,85313.9k2182.578924%2.578924%2.6%12,90712.9k2492.514252%2.514252%2.5%13,99414.0k2.514252%2.514252%2.5%13,99414.0k2632.367837%2.367837%2.4%12,44912.4k2802.202974%2.202974%2.2%12,04012.0k3072.167700%2.167700%2.2%10,25410.3k3111.980751%1.980751%2.0%9,0163421.767240%1.767240%1.8%8,7413731.557915%1.557915%1.6%6,8974040.778823%0.778823%0.8%3,3544310.767508%0.767508%0.8%3,0874320.698169%0.698169%0.7%2,9344330.554192%0.554192%0.6%2,2924340.465875%0.465875%0.5%1,928435
Count number of people in category
# rank of congressional district out of 435 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 Congressional District#85

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 At Large District, selected other congressional districts in the United States, and entities that contain At Large District
Female
Male
1x0x1xFM#VT-At LargeMD-4NY-21FL-2NH-2NY-19ME-2LA-5CA-2NC-3NY-23NC-2MI-1VA-5GA-11NC-9MS-3FL-17NC-7MN-6CA-4SC-6WI-1MD-5PA-7WI-7LA-1WI-6FL-15MN-8MI-4DE-At LargeSouth DakotaSD-At LargeIL-15FL-20ID-1IL-14WV-3MT-At LargeWA-1West North CentralMidwestAR-3United StatesMO-6CA-31MD-3AZ-8CA-29WA-9HI-1CA-45CA-12TX-16CA-17-1.000000x-1.000000x1.442482x1.442482x1.44x6.676%6.68%9.629%9.63%1-1.000000x-1.000000x1.433793x1.433793x1.43x11.379%11.4%16.315%16.3%2-1.000000x-1.000000x1.431489x1.431489x1.43x9.110%9.11%13.041%13.0%3-1.000000x-1.000000x1.406739x1.406739x1.41x11.746%11.7%16.524%16.5%4-1.000000x-1.000000x1.406368x1.406368x1.41x6.441%6.44%9.058%9.06%5-1.000000x-1.000000x1.395098x1.395098x1.40x8.942%8.94%12.475%12.5%6-1.000000x-1.000000x1.382519x1.382519x1.38x8.100%8.10%11.198%11.2%7-1.000000x-1.000000x1.380361x1.380361x1.38x16.487%16.5%22.759%22.8%8-1.000000x-1.000000x1.355377x1.355377x1.36x8.217%8.22%11.138%11.1%9-1.000000x-1.000000x1.352106x1.352106x1.35x10.792%10.8%14.592%14.6%10-1.000000x-1.000000x1.350786x1.350786x1.35x8.999%9.00%12.156%12.2%11-1.000000x-1.000000x1.343940x1.343940x1.34x9.194%9.19%12.357%12.4%12-1.000000x-1.000000x1.341400x1.341400x1.34x7.178%7.18%9.629%9.63%13-1.000000x-1.000000x1.340690x1.340690x1.34x12.902%12.9%17.298%17.3%14-1.000000x-1.000000x1.338246x1.338246x1.34x8.972%8.97%12.007%12.0%15-1.000000x-1.000000x1.333667x1.333667x1.33x11.280%11.3%15.044%15.0%16-1.000000x-1.000000x1.329980x1.329980x1.33x13.012%13.0%17.305%17.3%17-1.000000x-1.000000x1.329963x1.329963x1.33x12.280%12.3%16.331%16.3%18-1.000000x-1.000000x1.325694x1.325694x1.33x13.151%13.2%17.434%17.4%19-1.000000x-1.000000x1.319854x1.319854x1.32x4.848%4.85%6.399%6.40%20-1.000000x-1.000000x1.314684x1.314684x1.31x6.383%6.38%8.392%8.39%21-1.000000x-1.000000x1.312512x1.312512x1.31x15.717%15.7%20.629%20.6%22-1.000000x-1.000000x1.308277x1.308277x1.31x7.523%7.52%9.842%9.84%23-1.000000x-1.000000x1.307441x1.307441x1.31x7.649%7.65%10.001%10.0%24-1.000000x-1.000000x1.304486x1.304486x1.30x6.399%6.40%8.348%8.35%25-1.000000x-1.000000x1.302339x1.302339x1.30x7.589%7.59%9.883%9.88%26-1.000000x-1.000000x1.300240x1.300240x1.30x11.839%11.8%15.393%15.4%27-1.000000x-1.000000x1.296739x1.296739x1.30x7.252%7.25%9.404%9.40%28-1.000000x-1.000000x1.294979x1.294979x1.29x11.209%11.2%14.515%14.5%29-1.000000x-1.000000x1.287829x1.287829x1.29x6.602%6.60%8.503%8.50%30-1.000000x-1.000000x1.286539x1.286539x1.29x8.571%8.57%11.027%11.0%32-1.000000x-1.000000x1.248925x1.248925x1.25x10.013%10.0%12.505%12.5%54-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%59-1.000000x-1.000000x1.243372x1.243372x1.24x10.096%10.1%12.553%12.6%63-1.000000x-1.000000x1.203898x1.203898x1.20x16.697%16.7%20.101%20.1%94-1.000000x-1.000000x1.190133x1.190133x1.19x8.917%8.92%10.612%10.6%109-1.000000x-1.000000x1.180451x1.180451x1.18x6.021%6.02%7.107%7.11%125-1.000000x-1.000000x1.157111x1.157111x1.16x17.080%17.1%19.763%19.8%156-1.000000x-1.000000x1.152911x1.152911x1.15x6.604%6.60%7.614%7.61%159-1.000000x-1.000000x1.140243x1.140243x1.14x6.381%6.38%7.276%7.28%187-1.000000x-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-1.000000x1.120800x1.120800x1.12x14.231%14.2%15.950%15.9%218-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.102051x1.102051x1.10x8.867%8.87%9.772%9.77%249-1.000000x-1.000000x1.081916x1.081916x1.08x19.584%19.6%21.189%21.2%280-1.000000x-1.000000x1.054143x1.054143x1.05x8.210%8.21%8.654%8.65%311-1.000000x-1.000000x1.033577x1.033577x1.03x7.829%7.83%8.091%8.09%342-1.000000x-1.000000x1.008180x1.008180x1.01x31.847%31.8%32.107%32.1%373-1.038248x-1.038248x1.04x1.000000x1.000000x11.377%11.4%10.958%11.0%404-1.176023x-1.176023x1.18x1.000000x1.000000x10.181%10.2%8.657%8.66%431-1.178805x-1.178805x1.18x1.000000x1.000000x6.857%6.86%5.817%5.82%432-1.218514x-1.218514x1.22x1.000000x1.000000x13.569%13.6%11.136%11.1%433-1.262205x-1.262205x1.26x1.000000x1.000000x23.645%23.6%18.733%18.7%434-1.292315x-1.292315x1.29x1.000000x1.000000x10.559%10.6%8.171%8.17%435
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 435 by male-to-female sex ratio

Over-Education Sex Ratio by Congressional District#86

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 At Large District, selected other congressional districts in the United States, and entities that contain At Large District
Female
Male
1x0x1x2x3xFM#UT-3UT-1TX-1UT-4WA-4AZ-8FL-17UT-2FL-19AL-5ID-2FL-21OH-10TX-17SC-3ID-1CA-36OH-8TX-4NC-10AR-3TX-16FL-18IN-3TX-34WV-2LA-5VA-9NE-3IN-2FL-11TX-22MI-1CA-17South DakotaSD-At LargeIN-9MN-3DE-At LargeMidwestMT-At LargeWest North CentralOR-1NY-4United StatesTX-9KY-3AZ-9TN-5CA-29CA-40GA-14NY-15TX-29GA-13-1.000000x-1.000000x3.183849x3.183849x3.18x1.972%1.97%6.278%6.28%1-1.000000x-1.000000x2.672692x2.672692x2.67x1.216%1.22%3.251%3.25%2-1.000000x-1.000000x2.539624x2.539624x2.54x1.028%1.03%2.610%2.61%3-1.000000x-1.000000x2.406183x2.406183x2.41x1.298%1.30%3.124%3.12%4-1.000000x-1.000000x2.246758x2.246758x2.25x1.272%1.27%2.859%2.86%5-1.000000x-1.000000x2.240516x2.240516x2.24x1.491%1.49%3.341%3.34%6-1.000000x-1.000000x2.234282x2.234282x2.23x1.299%1.30%2.903%2.90%7-1.000000x-1.000000x2.222791x2.222791x2.22x2.453%2.45%5.453%5.45%8-1.000000x-1.000000x2.184344x2.184344x2.18x2.563%2.56%5.598%5.60%9-1.000000x-1.000000x2.145885x2.145885x2.15x1.580%1.58%3.390%3.39%10-1.000000x-1.000000x2.117959x2.117959x2.12x1.920%1.92%4.067%4.07%11-1.000000x-1.000000x2.107658x2.107658x2.11x2.765%2.77%5.828%5.83%12-1.000000x-1.000000x2.105558x2.105558x2.11x1.865%1.86%3.926%3.93%13-1.000000x-1.000000x2.070730x2.070730x2.07x2.339%2.34%4.842%4.84%14-1.000000x-1.000000x2.050311x2.050311x2.05x1.317%1.32%2.700%2.70%15-1.000000x-1.000000x2.041427x2.041427x2.04x1.456%1.46%2.972%2.97%16-1.000000x-1.000000x2.036752x2.036752x2.04x1.723%1.72%3.510%3.51%17-1.000000x-1.000000x2.026482x2.026482x2.03x1.198%1.20%2.427%2.43%18-1.000000x-1.000000x2.016885x2.016885x2.02x1.058%1.06%2.134%2.13%19-1.000000x-1.000000x2.002461x2.002461x2.00x1.329%1.33%2.662%2.66%20-1.000000x-1.000000x2.002381x2.002381x2.00x1.862%1.86%3.728%3.73%21-1.000000x-1.000000x1.998966x1.998966x2.00x1.238%1.24%2.475%2.48%22-1.000000x-1.000000x1.989995x1.989995x1.99x2.411%2.41%4.798%4.80%23-1.000000x-1.000000x1.985310x1.985310x1.99x1.222%1.22%2.426%2.43%24-1.000000x-1.000000x1.973009x1.973009x1.97x0.825%0.83%1.628%1.63%25-1.000000x-1.000000x1.970098x1.970098x1.97x1.534%1.53%3.023%3.02%26-1.000000x-1.000000x1.963301x1.963301x1.96x1.089%1.09%2.137%2.14%27-1.000000x-1.000000x1.961821x1.961821x1.96x1.726%1.73%3.386%3.39%28-1.000000x-1.000000x1.961119x1.961119x1.96x1.183%1.18%2.321%2.32%29-1.000000x-1.000000x1.952119x1.952119x1.95x1.413%1.41%2.759%2.76%30-1.000000x-1.000000x1.943607x1.943607x1.94x1.231%1.23%2.392%2.39%32-1.000000x-1.000000x1.813644x1.813644x1.81x3.328%3.33%6.036%6.04%63-1.000000x-1.000000x1.743059x1.743059x1.74x1.731%1.73%3.018%3.02%94-1.000000x-1.000000x1.689687x1.689687x1.69x4.168%4.17%7.042%7.04%125-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%141-1.000000x-1.000000x1.639574x1.639574x1.64x1.847%1.85%3.029%3.03%156-1.000000x-1.000000x1.605761x1.605761x1.61x3.466%3.47%5.566%5.57%187-1.000000x-1.000000x1.596530x1.596530x1.60x2.714%2.71%4.333%4.33%194-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579164x1.579164x1.58x2.333%2.33%3.684%3.68%205-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.568020x1.568020x1.57x3.492%3.49%5.475%5.48%218-1.000000x-1.000000x1.528288x1.528288x1.53x4.015%4.01%6.135%6.14%249-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.480206x1.480206x1.48x2.002%2.00%2.963%2.96%280-1.000000x-1.000000x1.434346x1.434346x1.43x3.096%3.10%4.440%4.44%311-1.000000x-1.000000x1.363758x1.363758x1.36x3.483%3.48%4.749%4.75%342-1.000000x-1.000000x1.303491x1.303491x1.30x3.818%3.82%4.976%4.98%373-1.000000x-1.000000x1.199120x1.199120x1.20x1.104%1.10%1.324%1.32%404-1.000000x-1.000000x1.029003x1.029003x1.03x0.459%0.46%0.473%0.47%431-1.019053x-1.019053x1.02x1.000000x1.000000x1.981%1.98%1.944%1.94%432-1.024421x-1.024421x1.02x1.000000x1.000000x0.811%0.81%0.792%0.79%433-1.065976x-1.065976x1.07x1.000000x1.000000x0.721%0.72%0.676%0.68%434-1.093111x-1.093111x1.09x1.000000x1.000000x2.386%2.39%2.183%2.18%435
F percentage of females in category
M percentage of males in category
# rank of congressional district out of 435 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:
Aurora, Beadle, Bennett, Bon Homme, Brookings, Brown, Brule, Buffalo, Butte, Campbell, Charles Mix, Clark, Clay, Codington, Corson, Custer, Davison, Day, Deuel, Dewey, Douglas, Edmunds, Fall River, Faulk, Grant, Gregory, Haakon, Hamlin, Hand, Hanson, Harding, Hughes, Hutchinson, Hyde, Jackson, Jerauld, Jones, Kingsbury, Lake, Lawrence, Lincoln, Lyman, Marshall, McCook, McPherson, Meade, Mellette, Miner, Minnehaha, Moody, Oglala Lakota, Pennington, Perkins, Potter, Roberts, Sanborn, Spink, Stanley, Sully, Todd, Tripp, Turner, Union, Walworth, Yankton, Ziebach
Metro Areas:
Aberdeen Area, Brookings Area, Huron Area, Mitchell Area, Pierre Area, Rapid City Area, Sioux City Area, Sioux Falls Area, Spearfish Area, Vermillion Area, Watertown Area, Yankton Area
Cities:
Aberdeen, Alcester, Alexandria, Arlington, Armour, Ashton, Avon, Baltic, Belle Fourche, Beresford, Big Stone City, Blunt, Bonesteel, Bowdle, Box Elder, Brandon, Bridgewater, Bristol, Britton, Brookings, Bruce, Bryant, Burke, Canistota, Canton, Carthage, Castlewood, Centerville, Central City, Chamberlain, Clark, Clear Lake, Colman, Colome, Colton, Columbia, Conde, Corsica, Crooks, Custer, De Smet, Deadwood, Dell Rapids, Delmont, Doland, Dupree, Eagle Butte, Edgemont, Egan, Elk Point, Elkton, Emery, Estelline, Eureka, Faith, Faulkton, Flandreau, Fort Pierre, Frankfort, Freeman, Garretson, Gary, Geddes, Gettysburg, Gregory, Groton, Harrisburg, Hartford, Hecla, Herreid, Highmore, Hill City, Hosmer, Hot Springs, Howard, Hurley, Huron, Ipswich, Irene, Iroquois, Jefferson, Kadoka, Kimball, Lake Andes, Lake Norden, Lake Preston, Lead, Lemmon, Lennox, Leola, Madison, Marion, Martin, McIntosh, McLaughlin, Mellette, Menno, Milbank, Miller, Mission, Mitchell, Mobridge, Montrose, Mount Vernon, Murdo, New Underwood, Newell, North Sioux City, Oldham, Onida, Parker, Parkston, Philip, Piedmont, Pierre, Plankinton, Platte, Presho, Rapid City, Redfield, Roscoe, Salem, Scotland, Selby, Sioux Falls, Sisseton, Spearfish, Spencer, Springfield, Sturgis, Summerset, Tea, Timber Lake, Tripp, Tyndall, Valley Springs, Veblen, Vermillion, Viborg, Volga, Wagner, Watertown, Waubay, Webster, Wessington, Wessington Springs, White, White Lake, White River, Whitewood, Willow Lake, Wilmot, Winner, Woonsocket, Worthing, Yankton
Towns:
Agar, Akaska, Albee, Alpena, Altamont, Andover, Artas, Artesian, Astoria, Aurora, Badger, Bancroft, Batesland, Belvidere, Bison, Bradley, Brandt, Brentford, Broadland, Buffalo, Buffalo Chip, Buffalo Gap, Bushnell, Butler, Camp Crook, Canova, Cavour, Chancellor, Chelsea, Claire City, Claremont, Corona, Cottonwood, Cresbard, Dallas, Dante, Davis, Dimock, Dolton, Draper, Eden, Erwin, Ethan, Fairburn, Fairfax, Fairview, Farmer, Florence, Frederick, Fruitdale, Fulton, Garden City, Gayville, Glenham, Goodwin, Grenville, Harrold, Hayti, Hazel, Henry, Hermosa, Herrick, Hetland, Hillsview, Hitchcock, Hoven, Hudson, Humboldt, Interior, Isabel, Java, Kennebec, Keystone, Kranzburg, La Bolt, Lake City, Lane, Langford, Lebanon, Lesterville, Letcher, Lily, Long Lake, Lowry, Marvin, Midland, Mission Hill, Monroe, Morristown, Mound City, Naples, New Effington, New Witten, Nisland, Northville, Nunda, Oacoma, Oelrichs, Olivet, Onaka, Orient, Ortley, Peever, Pickstown, Pierpont, Pollock, Pringle, Pukwana, Quinn, Ramona, Ravinia, Raymond, Ree Heights, Reliance, Revillo, Rockham, Rosholt, Roslyn, Seneca, Sherman, Sinai, South Shore, St. Francis, St. Lawrence, Stickney, Stockholm, Strandburg, Stratford, Summit, Tabor, Tolstoy, Toronto, Trent, Tulare, Turton, Twin Brooks, Utica, Verdon, Vienna, Vilas, Virgil, Volin, Wakonda, Wall, Wallace, Ward, Warner, Wasta, Westport, Wetonka, White Rock, Wolsey, Wood, Yale
Townships:
Aberdeen, Ada, Adams, Adams, Adrian, Afton, Afton, Agency, Alban, Alcester, Alden, Allen, Alliance, Allison, Alpena, Alpha, Altamont, Alto, Alton, Altoona, America, Andover, Anina, Antelope, Antelope, Antelope Valley, Arcade, Argentine, Argo, Ash, Ash, Athol, Aurora, Aurora, Bad Nation, Badger, Badger, Badus, Bailey, Baker, Baker, Bangor, Banner, Banner, Barrett, Barrett, Bates, Bates, Bath, Beaver, Beaver Creek, Beck-Highland, Becker, Belford, Belle, Belle Plaine, Belle Prairie, Belleview, Belmont, Belmont, Benedict, Benton, Benton, Benton, Beotia, Bethel, Beulah, Beulah, Big Sioux, Big Springs, Big Stone, Bison, Black, Blackpipe, Blaine, Blaine, Blendon, Blinsmon, Blom, Blooming Valley, Bonilla, Bossko, Bowdle, Brainard, Brandon, Brandt, Brantford, Bridgewater, Bristol, Bristol, Broadland, Brookfield, Brookings, Brooklyn, Brothersfield, Brule, Brule, Brunson, Bryan, Bryant, Bryant, Bryant, Buffalo, Buffalo, Buffalo, Buffalo, Bull Creek, Burdette, Burdick, Burk, Burr Oak, Butler, Butler, Butte, Cambria, Campbell, Canistota, Canova, Canton, Capital, Capitola, Carl, Carlisle, Carlton, Carlyle, Carroll, Carter, Carthage, Cash, Castle Butte, Castlewood, Cavour, Cedar, Cedar Butte, Center, Centerville, Centerville, Central Point, Chamberlain, Chance, Chaudoin, Chery, Chester, Chester, Childstown, Choteau Creek, Civil Bend, Clare, Claremont, Clark, Clark, Clark, Clarno, Clayton, Clear Lake, Clear Lake, Clear Lake, Clearwater, Cleveland, Cleveland, Cleveland, Clifton, Clifton, Clinton, Cloyd Valley, Clyde, Cody, Collins, Colman, Colome, Columbia, Como, Conata, Concord, Conde, Condon, Cooper, Cornwall, Cortlandt, Cottonwood, Cottonwood Lake, Crandon, Crooked Creek, Cross Plains, Crow, Crow Lake, Crystal Lake, Curlew, Custer, Custer, Dakota, Daneville, Darlington, Darlington, Day, Dayton, Dayton, De Smet, De Witt, Dearborn, Delapre, Delaware, Dell Rapids, Dempster, Denver, Devoe, Dexter, Diana, Dixon, Dixon, Dog Ear, Dolton, Draper, Dry Wood Lake, Dudley, Duell, Dumarce, Dunkel, Eagle, Eagle, East Choteau, East Hanson, East Rondell, Easter, Eden, Eden, Eden, Eden, Edens, Edgerton, Edison, Egan, Egeland, Elk Point, Elkton, Elliott, Elliston, Ellisville, Elm Springs, Elmira, Elrod, Elvira, Emerson, Emery, Emmet, Englewood, Enterprise, Enterprise, Enterprise, Esmond, Estelline, Eureka, Eureka, Exline, Fair, Fairfax, Fairfield, Fairview, Fairview, Fairview, Fairview, Fairview, Fairview, Farmington, Farmington, Farmington, Firesteel, Flandreau, Flat Butte, Flat Creek, Florence, Florence, Floyd, Forbes, Fordham, Fort, Foster, Foster, Foster, Fountain, Foxton, Frankfort, Franklin, Franklin, Franklyn, Frederick, Fredlund, Freedom, Fremont, Fuller, Gales, Garden Prairie, Garfield, Garfield, Garfield, Garfield, Garfield, Garfield, Garland, Gayville, Gem, Geneseo, Georgia, German, Germantown, Germantown, Gilbert, Glen, Glendale, Glendo, Glenwood, Glenwood, Glover, Goodwill, Goodwin, Goose Lake, Graceland, Grafton, Grand, Grand Meadow, Grand River, Grandview, Grandview, Grandview II, Grange, Grant, Grant, Grant, Grant, Grant Center, Great Bend, Green Valley, Greenfield, Greenland, Greenleaf, Greenwood, Grenville, Groton, Groveland, Grovena, Hague, Hall, Hamilton, Hamilton, Hamlin, Hanson, Harmon, Harmony, Harmony, Harmony, Harrison, Hart, Hartford, Hartland, Hartland, Havana, Hayti, Hecla, Henden, Henry, Henry, Herman, Herrick, Hickman, Hidewood, Highland, Highland, Highland, Highland, Highland, Highland, Hiland, Hillsdale, Hillside, Hoffman, Holden, Holland, Holsclaw, Home, Homer, Hopper, Horse Creek, Hosmer, Howard, Howard, Howard, Hudson, Huggins, Hulbert, Humboldt, Huntley, Hurley, Huron, Ideal, Imlay, Independence, Independence, Interior, Iona, Iowa, Iowa, Ipswich, Iroquois, Irving, Irwin, Jackson, Jackson, Jamesville, Jasper, Jefferson, Jefferson, Jefferson, Jefferson, Jewett, Jones, Jordan, Joubert, Kampeska, Kassel, Kaylor, Kellogg, Kennedy, Kent, Keyapaha, Kidder, Kilborn, Kimball, King, Kolls, Kosciusko, Kranzburg, Kulm, La Belle, La Prairie, La Roche, La Valley, Lafoon, Lake, Lake, Lake, Lake, Lake, Lake, Lake, Lake Byron, Lake Creek, Lake Flat, Lake George, Lake Hendricks, Lake Hill, Lake Sinai, Lake View, Lakeside, Laketon, Lamro, Landing Creek, Lansing, Lawrence, Lawrence, Le Roy, Le Sueur, Lee, Leola, Letcher, Liberty, Liberty, Liberty, Liberty, Liberty, Liberty, Lien, Lincoln, Lincoln, Lincoln, Lincoln, Lincoln, Lincoln, Lincoln, Linn, Lisbon, Lockwood, Lodgepole, Lodi, Logan, Logan, Logan, Logan, Logan, Logan, Lone Rock, Lone Star, Lone Tree, Lone Tree, Lone Tree, Long Hollow, Lowe, Lowell, Lura, Lynn, Lynn, Lynn, Lyon, Lyons, Madison, Madison, Maltby, Manchester, Mapleton, Marindahl, Marion, Marlar, Marshfield, Martin, Mathews, Maydell, Mayfield, Mazeppa, McKinley, McNeely, Meadow, Meckling, Medary, Mellette, Melrose, Mercier, Merton, Middleton, Midland, Milford, Millboro, Miller, Miller, Milltown, Miner, Minnesota, Mission Hill, Modena, Molan, Mondamin, Monroe, Montpelier, Montrose, Moore, Moreau, Morton, Mosher, Mount Pleasant, Mount Vernon, Mullen, Mussman, Myron, Nance, New Hope, New Surprise Valley, Newark, Newport, Norden, Norden, Nordland, Norris, North Bryant, North Detroit, Northville, Norway, Norway, Norway, Norway, Nunda, Nutley, O'Neil, Oacoma, Oak Gulch, Oak Hollow, Oak Lake, Oakwood, Odessa, Ohio, Okaton, Ola, Olean, One Road, Oneida, Oneota, Ontario, Opdahl, Ordway, Orient, Orland, Ortley, Osceola, Osceola, Oslo, Owanka, Oxford, Palatine, Palisade, Palmyra, Park, Parker, Parnell, Patten, Pearl, Pearl, Pearl Creek, Pelican, Pembrook, Peno, Perry, Perry, Phipps, Pioneer, Plain Center, Plainfield, Plainview, Plankinton, Plano, Plateau, Plato, Platte, Pleasant, Pleasant, Pleasant, Pleasant, Pleasant, Pleasant, Pleasant Grove, Pleasant Lake, Pleasant Ridge, Pleasant Valley, Pleasant Valley, Pleasant Valley, Pleasant Valley, Pleasant Valley, Pleasant Valley, Pleasant View, Pleasant View, Plummer, Portage, Portland, Powell, Prairie, Prairie Center, Prairie Center, Prairie View, Prairiewood, Pratt, Preston, Prospect, Prosper, Provo, Pukwana, Putney, Quinn, Raber, Racine, Rainbow, Rainy Creek/Cheyenne, Rames, Ramsey, Raritan, Rauville, Ravenna, Ravinia, Raymond, Red Fish, Red Iron Lake, Red Lake, Red Rock, Redfield, Redstone, Ree, Rex, Rhoda, Richfield, Richland, Richland, Richland, Richland, Richland, Richland, Richland, Richland, Ridgeland, Ring Thunder, Riverside, Riverside, Riverside, Riverside, Riverview, Rock Creek, Rockdale, Rockford, Rocky Ford, Rolling Green, Rome, Rome, Rose, Rose Hill, Rosebud, Rosedale, Rosedale, Rosedale, Rosefield, Roseland, Rosette, Roswell, Rouse, Running Bird, Rusk, Rutland, Salem, Salem, Sand Creek, Sangamon, Saratoga, Savo, Scandinavia, Scenic, Schriever, Scotch Cap, Scotland, Scovil, Sharon, Shelby, Sheridan, Sherman, Sherman, Sherman, Shyne, Sidney, Signal, Silver Creek, Silver Lake, Sioux Valley, Sisseton, Sisseton, Smith, Smithville, South Creek, South Detroit, Spink, Spirit Lake, Spirit Mound, Split Rock, Spring, Spring Creek, Spring Grove, Spring Hill, Spring Lake, Spring Lake, Spring Lake, Spring Valley, Spring Valley, Spring Valley, Springdale, Springdale, St. Lawrence, St. Onge, Star, Star Prairie, Star Valley, Star Valley, Starr, Stena, Sterling, Stewart, Stockholm, Strool, Sully, Summit, Summit, Sumner, Sun Prairie, Sunnyside, Surprise Valley, Susquehanna, Sverdrup, Swan Lake, Sweet, Tamworth, Taopi, Taylor, Taylor, Tetonka, Theresa, Thorp, Three Rivers, Tobin, Torrey Lake, Trail, Trenton, Troy, Troy, Truro, Tulare, Turkey Valley, Turner, Turton, Twin Brooks, Twin Lake, Union, Union, Union, Union, Union, Union, Union, Union, Union, Union, Union, Upper Red Owl, Utica, Vail, Vale, Valley, Valley, Valley, Valley, Valley, Valley, Valley Springs, Veblen, Vermillion, Vermillion, Vermont, Vernon, Vernon, Victor, Victor, Viking, Viola, Virgil, Virginia, Vivian, Volga, Volin, Vrooman, Wachter, Wacker, Wahehe, Wakpala, Waldro, Wall, Wall Lake, Walnut Grove, Walshtown, Ward, Warner, Warren, Warren, Washington, Washington, Washington, Wasta, Watauga, Waubay, Waverly, Waverly, Wayne, Wayne, Wayne, Weaver, Weber, Webster, Wellington, Wells, Wentworth, Wesley, Wessington, Wessington Springs, West Hanson, West Point, West Rondell, Weston, Westport, Weta, Wheatland, Wheaton, White, White Butte, White Lake, White Rock, White Swan, Whiteside, Whitewood, Wilbur, William Hamilton, Williams Creek, Willow Creek, Willow Lake, Wilson, Wilson, Winfred, Winsor, Wismer, Witten, Wittenberg, Wolf Creek, Wolsey, Woodland, Woonsocket, Worthen, Wortman, Wright, York, York, Zell, Zickrick
Unincorporated Places:
Agency Village, Allen, Anderson, Antelope, Ashland Heights, Aurora Center, Bath, Bath Corner, Bijou Hills, Blackhawk, Blucksberg Mountain, Brant Lake, Bullhead, Caputa, Chester, Colonial Pine Hills, Corn Creek, Cow Creek, Crocker, Dakota Dunes, Fedora, Ferney, Forestburg, Fort Thompson, Gann Valley, Goodwill, Green Grass, Green Valley, Hamill, Harrison, Johnson Siding, Kaylor, Kidder, Kyle, La Plant, Lake Madison, Lake Poinsett, Little Eagle, Long Hollow, Loomis, Lower Brule, Manderson-White Horse Creek, Mansfield, Marty, Meadow View Addition, Milltown, Morningside, New Holland, Norris, North Eagle Butte, North Spearfish, Oglala, Okaton, Okreek, Ola, Parmelee, Pine Lakes Addition, Pine Ridge, Porcupine, Prairie City, Rapid Valley, Renner Corner, Richland, Rosebud, Roswell, Running Water, Shindler, Soldier Creek, Spring Creek, St. Charles, St. Onge, Storla, Two Strike, Vale, Vivian, Wanblee, Waverly, White Horse, Whitehorse, Winfred, Wounded Knee
Unorganized Territories:
Belle Fourche-Cheyenne Valleys, Black Dog, Castalia, Castle Butte, Cedarbutte, Central Hyde, Central Jones, Central Lyman, Central McPherson, Central Mellette, Central Pennington, Central Perkins, Central Potter, Crow Creek, Crow Creek, Crow Creek, Dale, Dalzell Canyon, Duck Creek, Dupree, East Bennett, East Butte, East Central Pennington, East Corson, East Custer, East Gregory, East Haakon, East Lyman, East Oglala Lakota, East Potter, East Sully, East Todd, East Walworth, Gassman, Grandview, Grandview, Jones, Lemmon, Lower Brule, Lower Brule, Media, Mitchell, Mount Rushmore, North Buffalo, North Campbell, North Dewey, North Gregory, North Harding, North Hughes, North Hyde, North Jones, North Lawrence, North Meade, North Stanley, North Ziebach, Northeast Bon Homme, Northeast Fall River, Northeast Jackson, Northeast Pennington, Northeast Perkins, Northwest Bon Homme, Northwest Hand, Northwest Jackson, Pahapesto, Pleasant Valley, Progressive, Pulaski, Rapid City East, Ree Heights, Rich Valley, Richland, South Campbell, South Dewey, South Harding, South Lawrence, South Perkins, South Stanley, South Ziebach, Southeast Bon Homme, Southeast Buffalo, Southeast Gregory, Southeast Jackson, Southeast Yankton, Southwest Bon Homme, Southwest Fall River, Southwest Faulk, Southwest Jackson, Southwest Meade, West Bennett, West Butte, West Corson, West Custer, West Gregory, West Haakon, West Hughes, West Lyman, West McPherson, West Oglala Lakota, West Pennington, West Potter, West Sully, West Todd, West Walworth, West Yankton, Westover, White Hill
Village:
Wentworth
Unified School Districts:
Aberdeen 06-1, Agar-Blunt-Onida 58-3, Alcester-Hudson 61-1, Andes 11-1, Arlington 38-1, Armour 21-1, Avon 04-1, Baltic 49-1, Belle Fourche 09-1, Bennett County 03-1, Beresford 61-2, Big Stone 25-1, Bison 52-1, Bon Homme 04-2, Bowdle 22-1, Brandon Valley 49-2, Bridgewater-Emery 30-3, Britton-Hecla 45-4, Brookings 05-1, Burke 26-2, Canistota 43-1, Canton 41-1, Castlewood 28-1, Centerville 60-1, Chamberlain 07-1, Chester 39-1, Clark 12-2, Colman-Egan 50-5, Colome District 59-3, Corsica-Stickney 21-3, Custer 16-1, Dakota Valley 61-8, De Smet 38-2, Dell Rapids 49-3, Deubrook 05-6, Deuel 19-4, Doland 56-2, Douglas 51-1, Dupree 64-2, Eagle Butte 20-1, Edgemont 23-1, Edmunds 22-5, Elk Mountain 16-2, Elk Point-Jefferson 61-7, Elkton 05-3, Estelline 28-2, Ethan 17-1, Eureka 44-1, Faith 46-2, Faulkton 24-4, Flandreau 50-3, Florence 14-1, Frederick 06-2, Freeman 33-1, Garretson 49-4, Gayville-Volin 63-1, Gettysburg 53-1, Grant-Deuel 25-3, Gregory 26-4, Groton 06-6, Haakon 27-1, Hamlin 28-3, Hanson 30-1, Harding County 31-1, Harrisburg 41-2, Henry 14-2, Herreid 10-1, Highmore-Harrold 34-2, Hill 51-2, Hitchcock-Tulare 56-6, Hot Springs 23-2, Hoven 53-2, Howard 48-3, Huron 02-2, Ipswich 22-6, Irene-Wakonda 13-3, Iroquois 02-3, Jones County 37-3, Kadoka 35-2, Kimball 07-2, Lake Preston 38-3, Langford 45-5, Lead-Deadwood 40-1, Lemmon 52-4, Lennox 41-4, Leola 44-2, Lyman 42-1, Madison 39-2, Marion 60-3, McCook 43-7, McIntosh 15-1, McLaughlin 15-2, Meade 46-1, Menno 33-2, Milbank 25-4, Miller 29-4, Mitchell 17-2, Mobridge-Pollock 62-6, Montrose 43-2, Mount Vernon 17-3, New Underwood 51-3, Newell 09-2, Northwestern 56-7, Oelrichs 23-3, Oldham-Ramona 39-5, Parker 60-4, Parkston 33-3, Pierre 32-2, Plankinton 01-1, Platte-Geddes 11-5, Rapid 51-4, Redfield 56-4, Rosholt 54-4, Rutland 39-4, Sanborn 55-5, Scotland 04-3, Selby 62-5, Shannon County 65-1, Sioux Falls 49-5, Sioux Valley 05-5, Sisseton 54-2, Smee 15-3, South 26-5, Spearfish 40-2, Stanley County 57-1, Summit 54-6, Tea 41-5, Timber Lake 20-3, Todd County 66-1, Tri-Valley 49-6, Tripp-Delmont 33-5, Vermillion 13-1, Viborg Hurley 60-6, Wagner 11-4, Wall 51-5, Warner 06-5, Watertown 14-4, Waubay 18-3, Waverly 14-5, Webster 18-5, Wessington Springs 36-2, West 49-7, White Lake 01-3, White River 47-1, Willow Lake 12-3, Wilmot 54-7, Winner 59-2, Wolsey-Wessington 02-6, Woonsocket 55-4, Yankton 63-3
ZIP Codes:
51001, 51023, 56144, 56164, 56219, 57001, 57002, 57003, 57004, 57005, 57006, 57010, 57012, 57013, 57014, 57015, 57016, 57017, 57018, 57020, 57021, 57022, 57024, 57025, 57026, 57027, 57028, 57029, 57030, 57031, 57032, 57033, 57034, 57035, 57036, 57037, 57038, 57039, 57040, 57041, 57042, 57043, 57045, 57046, 57047, 57048, 57049, 57050, 57051, 57052, 57053, 57054, 57055, 57057, 57058, 57059, 57061, 57062, 57063, 57064, 57065, 57066, 57067, 57068, 57069, 57070, 57071, 57072, 57073, 57075, 57076, 57077, 57078, 57103, 57104, 57105, 57106, 57107, 57108, 57110, 57117, 57197, 57201, 57212, 57213, 57214, 57216, 57217, 57218, 57219, 57220, 57221, 57223, 57224, 57225, 57226, 57227, 57231, 57232, 57233, 57234, 57235, 57236, 57237, 57238, 57239, 57241, 57242, 57243, 57245, 57246, 57247, 57248, 57249, 57251, 57252, 57255, 57256, 57257, 57258, 57259, 57260, 57261, 57262, 57263, 57264, 57265, 57266, 57268, 57269, 57270, 57271, 57272, 57273, 57274, 57276, 57278, 57279, 57301, 57311, 57312, 57313, 57314, 57315, 57317, 57319, 57321, 57322, 57323, 57324, 57325, 57328, 57329, 57330, 57331, 57332, 57334, 57335, 57337, 57339, 57340, 57341, 57342, 57344, 57345, 57346, 57348, 57349, 57350, 57353, 57355, 57356, 57358, 57359, 57361, 57362, 57363, 57364, 57365, 57366, 57367, 57368, 57369, 57370, 57371, 57373, 57374, 57375, 57376, 57379, 57380, 57381, 57382, 57383, 57384, 57385, 57386, 57401, 57420, 57421, 57422, 57424, 57426, 57427, 57428, 57429, 57430, 57432, 57433, 57434, 57435, 57436, 57437, 57438, 57439, 57440, 57441, 57442, 57445, 57446, 57448, 57449, 57450, 57451, 57452, 57454, 57455, 57456, 57457, 57460, 57461, 57465, 57466, 57467, 57468, 57469, 57470, 57471, 57472, 57473, 57474, 57475, 57476, 57477, 57479, 57481, 57501, 57520, 57521, 57522, 57523, 57528, 57529, 57531, 57532, 57533, 57534, 57536, 57537, 57538, 57540, 57541, 57543, 57544, 57547, 57548, 57551, 57552, 57553, 57555, 57559, 57560, 57562, 57563, 57564, 57566, 57567, 57568, 57569, 57570, 57571, 57572, 57574, 57576, 57577, 57579, 57580, 57584, 57585, 57601, 57620, 57621, 57622, 57623, 57625, 57626, 57630, 57631, 57632, 57633, 57634, 57636, 57638, 57639, 57640, 57641, 57642, 57644, 57645, 57646, 57648, 57649, 57650, 57651, 57652, 57656, 57657, 57658, 57660, 57661, 57701, 57702, 57703, 57706, 57714, 57716, 57717, 57718, 57719, 57720, 57722, 57724, 57725, 57730, 57732, 57735, 57738, 57741, 57744, 57745, 57747, 57748, 57750, 57751, 57752, 57754, 57755, 57756, 57758, 57759, 57760, 57761, 57762, 57763, 57764, 57766, 57767, 57769, 57770, 57772, 57773, 57775, 57776, 57779, 57780, 57782, 57783, 57785, 57787, 57788, 57790, 57791, 57792, 57793, 57794, 57799, 58439, 58623, 58649, 58653, 68719, 69201, 69212, 69216, 82701
State House Districts:
SD-1, SD-2, SD-3, SD-4, SD-5, SD-6, SD-7, SD-8, SD-9, SD-10, SD-11, SD-12, SD-13, SD-14, SD-15, SD-16, SD-17, SD-18, SD-19, SD-20, SD-21, SD-22, SD-23, SD-24, SD-25, SD-26A, SD-26B, SD-27, SD-28A, SD-28B, SD-29, SD-30, SD-31, SD-32, SD-33, SD-34, SD-35
State Senate Districts:
SD-1, SD-2, SD-3, SD-4, SD-5, SD-6, SD-7, SD-8, SD-9, SD-10, SD-11, SD-12, SD-13, SD-14, SD-15, SD-16, SD-17, SD-18, SD-19, SD-20, SD-21, SD-22, SD-23, SD-24, SD-25, SD-26, SD-27, SD-28, SD-29, SD-30, SD-31, SD-32, SD-33, SD-34, SD-35
Neighboring Congressional Districts:
IA-4, MN-1, MN-7, MT-At Large, ND-At Large, NE-3, WY-At Large