Educational Attainment in Watertown, Codington County, South Dakota (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Codington County and Watertown
Watertown
Codington County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma233.876378%33.419480%33.876378%33.9%4,94958.039565%58.434286%58.039565%58.0%8,4798.084058%8.146234%8.084058%8.1%1,181
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Codington County at large.
Scope: population of Codington County and Watertown
-1%0%+1%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma21.367160%1.367160%+1.4%33.876%33.9%33.419%33.4%-0.675497%-0.675497%-0.7%58.040%58.0%58.434%58.4%-0.763249%-0.763249%-0.8%8.084%8.08%8.146%8.15%
% percentage with given level in Watertown
ref. percentage with given level in Codington County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Codington County and Watertown
Watertown
Codington County
0%10%20%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.143747%0.145372%0.143747%0.1%210.794031%0.710709%0.794031%0.8%1162.553221%2.579013%2.553221%2.6%37317.407078%17.503904%17.407078%17.4%2,54312.978301%12.480482%12.978301%13.0%1,89620.459990%20.696710%20.459990%20.5%2,98937.579574%37.737576%37.579574%37.6%5,4904.914779%4.797286%4.914779%4.9%7182.334178%2.622086%2.334178%2.3%3410.835102%0.726862%0.835102%0.8%122
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Codington County at large.
Scope: population of Codington County and Watertown
-10%0%+10%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-1.118032%-1.118032%-1.1%0.144%0.14%0.145%0.15%11.723782%11.723782%+11.7%0.794%0.79%0.711%0.71%-1.000070%-1.000070%-1.0%2.553%2.55%2.579%2.58%-0.553166%-0.553166%-0.6%17.407%17.4%17.504%17.5%3.988777%3.988777%+4.0%12.978%13.0%12.480%12.5%-1.143756%-1.143756%-1.1%20.460%20.5%20.697%20.7%-0.418686%-0.418686%-0.4%37.580%37.6%37.738%37.7%2.449138%2.449138%+2.4%4.915%4.91%4.797%4.80%-10.980124%-10.980124%-11.0%2.334%2.33%2.622%2.62%14.891429%14.891429%+14.9%0.835%0.84%0.727%0.73%
% percentage with given level in Watertown
ref. percentage with given level in Codington County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Codington County and Watertown
More Females More Males
Codington County
Watertown
0%20%40%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-10.653508%-17.437889%-10.653508%11%35.514%35.5%32.094%32.1%2.058541%3.987898%2.058541%2%57.473%57.5%58.656%58.7%31.882806%46.256084%31.882806%32%7.013%7.01%9.249%9.25%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Codington County and Watertown
More Females More Males
Codington County
Watertown
0%500%1,000%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%260.287369%1,000.000000%> 1000%0.000%0%0.300%0.30%317.255182%249.993444%317.255182%317%0.315%0.32%1.315%1.32%-60.097402%-121.569708%-60.097402%60%3.113%3.11%1.944%1.94%-7.469367%-13.259950%-7.469367%7%18.006%18.0%16.755%16.8%-19.520505%-19.375862%-19.520505%20%14.079%14.1%11.780%11.8%-13.822753%-7.023796%-13.822753%14%21.723%21.7%19.085%19.1%10.688657%10.270324%10.688657%11%35.750%35.7%39.571%39.6%24.445478%36.535609%24.445478%24%4.400%4.40%5.475%5.48%41.945212%75.568607%41.945212%42%1.944%1.94%2.759%2.76%51.535130%21.202663%51.535130%52%0.670%0.67%1.015%1.02%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Codington County and Watertown
Watertown
Codington County
0%5%10%15%20%B.X.Total65+45-6435-4425-3415.573303%15.439815%15.573303%15.6%5463,50613.711284%13.734135%13.711284%13.7%7575,52123.552124%24.805961%23.552124%23.6%6102,59021.056150%21.341979%21.056150%21.1%6302,992
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Codington County at large.
Scope: population of Codington County and Watertown
5%4%3%2%1%0%%ref.65+45-6435-4425-340.864571%0.864571%0.9%15.573%15.6%15.440%15.4%-0.166379%-0.166379%0.2%13.711%13.7%13.734%13.7%-5.054581%-5.054581%5.1%23.552%23.6%24.806%24.8%-1.339283%-1.339283%1.3%21.056%21.1%21.342%21.3%
% percentage in Watertown with a Bachelor's degree
ref percentage in Codington County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Codington County and Watertown
More Females More Males
Codington County
Watertown
60%40%20%0%20%40%FM65+45-6435-4425-3447.180082%30.314845%47.180082%47.2%13.050%13.0%19.207%19.2%-39.308895%-38.147405%-39.308895%39.3%15.933%15.9%11.437%11.4%5.469242%11.450866%5.469242%5.5%22.929%22.9%24.184%24.2%-39.439014%-65.403616%-39.439014%39.4%24.655%24.7%17.681%17.7%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Codington County and Watertown
Watertown
Codington County
$0k$10k$20k$30kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$36,946.000000$36,791.000000$36,946.000000$36.9k5103.491%3.49%$37,244.000000$38,529.000000$37,244.000000$37.2k2,54317.407%17.4%$29,785.000000$30,993.000000$29,785.000000$29.8k4,88533.438%33.4%$30,427.000000$30,959.000000$30,427.000000$30.4k5,49037.580%37.6%$22,188.000000$19,792.000000$22,188.000000$22.2k1,1818.084%8.08%$31,241.000000$31,835.000000$31,241.000000$31.2k14,60914.6k100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Codington County and Watertown
Female Male
Codington County
Watertown
Shaded bar tips show excess over facing bar.
$20k$0k$20k$40kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$-36,477.000000$-36,155.000000$-36,477.000000$36.5k$36,477.000000$6,097.000000$36,155.000000$6,786.000000$42,574.000000$42.6k261249$-32,385.000000$-32,800.000000$-32,385.000000$32.4k$32,385.000000$18,009.000000$32,800.000000$18,349.000000$50,394.000000$50.4k1,3711,172$-25,137.000000$-24,980.000000$-25,137.000000$25.1k$25,137.000000$15,416.000000$24,980.000000$16,366.000000$40,553.000000$40.6k2,7262,159$-22,836.000000$-22,912.000000$-22,836.000000$22.8k$22,836.000000$12,850.000000$22,912.000000$14,160.000000$35,686.000000$35.7k2,7222,768$-9,710.000000$-9,801.000000$-9,710.000000$9.7k$9,710.000000$19,949.000000$9,801.000000$18,722.000000$29,659.000000$29.7k534647$-24,683.000000$-24,887.000000$-24,683.000000$24.7k$24,683.000000$14,594.000000$24,887.000000$15,449.000000$39,277.000000$39.3k7,6146,995
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Codington County and Watertown
Watertown
Codington County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma30.000000%0.000000%0.0%17.647059%0100.000000%82.352941%100.000000%100.0%140.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Codington County and Watertown
Watertown
Codington County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma388.492230%88.739771%88.492230%88.5%2,10787.005929%87.584869%87.005929%87.0%3,52285.442110%85.195743%85.442110%85.4%3,49873.620690%77.336748%73.620690%73.6%427
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Codington County and Watertown
Female Male
Codington County
Watertown
Shaded bar tips show excess over facing bar.
10%0%10%20%MFWhite1BlackHispanic2Other1-6.998184%-6.634540%-6.998184%7.0%6.998184%2.348730%6.634540%2.771002%9.346914%9.3%624501-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-0.000000%-0.000000%0.000000%0.0%0.000000%4.629630%0.000000%28.571429%4.629630%4.6%50-9.200000%-3.947410%-12.267658%-13.147410%13.1%9.200000%12.267658%6.105836%9.200000%9.2%2333
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Codington County and Watertown
Female Male
Codington County
Watertown
Shaded bar tips show excess over facing bar.
20%10%0%10%20%MFWhite1BlackHispanic2Other1-20.835830%-0.675554%-19.949408%-2.722339%-21.511384%21.5%20.835830%19.949408%20.835830%20.8%1,3911,540-0.000000%-0.000000%0.000000%0.0%0.000000%0.000000%0.000000%0.000000%0.000000%0.0%00-8.547009%-11.023622%-8.547009%8.5%8.547009%19.230769%11.023622%9.384541%27.777778%27.8%3010-9.960159%-9.036145%-0.257536%-9.960159%10.0%9.960159%2.039841%9.036145%12.000000%12.0%3025
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in Watertown

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

Percentage of the population 25 years and older with given highest level of educational attainment
19%24%29%34%39%45%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
49.0%52.9%56.7%60.5%64.4%68.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
3.0%5.0%6.9%8.8%10.7%12.7%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.07%0.14%0.21%0.28%0.35%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.25%0.51%0.76%1.02%1.28%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.6%1.3%2.0%2.7%3.4%4.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
6.2%10.2%14.1%17.9%21.8%25.8%

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

Percentage of the population 25 years and older with given highest level of educational attainment
10.5%11.5%12.4%13.3%14.3%15.2%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
18.0%19.1%20.1%21.1%22.1%23.2%

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

Percentage of the population 25 years and older with given highest level of educational attainment
27.2%31.8%36.4%41.0%45.5%50.1%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
2.1%3.4%4.7%6.0%7.3%8.6%

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

Percentage of the population 25 years and older with given highest level of educational attainment
0.5%1.5%2.6%3.6%4.7%5.8%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.11%0.45%0.79%1.13%1.46%1.80%
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Educational Attainment by County Subdivision in the Watertown Area

There are 23 county subdivisions in the Watertown Area. This section compares Watertown to all of the county subdivisions in the Watertown Area and to those entities that contain or substantially overlap with Watertown.

No H.S. Diploma by County Subdivision#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
0%10%20%30%Count#Germantown TownshipGermantownSheridan TownshipSheridanRichland TownshipRichlandWaverly TownshipWaverlyUnited States of AmericaUnited StatesMidwestPelican TownshipPelicanKranzburg TownshipKranzburgWest North CentralSouth DakotaZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4Fuller TownshipFullerWatertown Metro AreaWatertownCodington CountyCodingtonWatertownWatertownTown of South ShoreS ShrTown of KranzburgKranzburgTown of HenryEden TownshipElmira TownshipElmiraLeola TownshipLeolaTown of FlorenceFlorenceRauville TownshipRauvilleLake TownshipKampeska TownshipKampeskaPhipps TownshipPhippsDexter TownshipDexterHenry TownshipHenryTown of WallaceWallaceGraceland TownshipGraceland31.788079%31.788079%31.8%48125.312500%25.312500%25.3%81216.528926%16.528926%16.5%20315.625000%15.625000%15.6%15413.020590%13.020590%13.0%27,818,38027.8M10.244520%10.244520%10.2%4,641,8354.64M9.514170%9.514170%9.5%4759.448819%9.448819%9.4%2469.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.433092%8.433092%8.4%1,4238.374934%8.374934%8.4%1,4268.176101%8.176101%8.2%1378.146234%8.146234%8.1%1,5138.146234%8.146234%8.1%1,5138.084058%8.084058%8.1%1,1818.084058%8.084058%8.1%1,18186.962025%6.962025%7.0%1196.896552%6.896552%6.9%8106.829268%6.829268%6.8%14116.779661%6.779661%6.8%4126.751055%6.751055%6.8%16133.669725%3.669725%3.7%4143.004292%3.004292%3.0%7152.424242%2.424242%2.4%4162.375810%2.375810%2.4%11172.030457%2.030457%2.0%4181.538462%1.538462%1.5%1190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%023
Count number of people in category
# rank of county subdivision out of 23 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
0%10%20%30%40%Count#Elmira TownshipElmiraLake TownshipEden TownshipWaverly TownshipWaverlyPhipps TownshipPhippsUnited States of AmericaUnited StatesWest North CentralMidwestSouth DakotaTown of South ShoreS ShrKampeska TownshipKampeskaZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4Watertown Metro AreaWatertownCodington CountyCodingtonWatertownWatertownGraceland TownshipGracelandSheridan TownshipSheridanPelican TownshipPelicanTown of WallaceWallaceDexter TownshipDexterFuller TownshipFullerLeola TownshipLeolaKranzburg TownshipKranzburgTown of FlorenceFlorenceRichland TownshipRichlandRauville TownshipRauvilleTown of KranzburgKranzburgTown of HenryHenry TownshipHenryGermantown TownshipGermantown47.679325%47.679325%47.7%113141.900648%41.900648%41.9%194237.288136%37.288136%37.3%22336.458333%36.458333%36.5%35433.846154%33.846154%33.8%22530.315023%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%152,785153k24.050633%24.050633%24.1%38623.857868%23.857868%23.9%47721.536091%21.536091%21.5%3,63421.160510%21.160510%21.2%3,60320.938997%20.938997%20.9%3,88920.938997%20.938997%20.9%3,88920.898077%20.898077%20.9%3,05320.898077%20.898077%20.9%3,053820.289855%20.289855%20.3%14918.125000%18.125000%18.1%581017.004049%17.004049%17.0%841116.393443%16.393443%16.4%101216.339869%16.339869%16.3%251315.723270%15.723270%15.7%251415.596330%15.596330%15.6%171513.779528%13.779528%13.8%351613.304721%13.304721%13.3%311713.223140%13.223140%13.2%161810.909091%10.909091%10.9%18198.620690%8.620690%8.6%10207.317073%7.317073%7.3%15216.329114%6.329114%6.3%5221.324503%1.324503%1.3%223
Count number of people in category
# rank of county subdivision out of 23 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#31

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
0%1%2%3%4%5%Count#Elmira TownshipElmiraLeola TownshipLeolaUnited States of AmericaUnited StatesKampeska TownshipKampeskaWest North CentralMidwestSouth DakotaWatertownWatertownZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4Watertown Metro AreaWatertownCodington CountyCodingtonPelican TownshipPelicanLake TownshipKranzburg TownshipKranzburgTown of FlorenceFlorenceTown of HenrySheridan TownshipSheridanDexter TownshipDexterRauville TownshipRauvilleFuller TownshipFullerRichland TownshipRichlandTown of South ShoreS ShrGermantown TownshipGermantownWaverly TownshipWaverlyTown of KranzburgKranzburgHenry TownshipHenryTown of WallaceWallaceGraceland TownshipGracelandPhipps TownshipPhippsEden Township5.063291%5.063291%5.1%1213.669725%3.669725%3.7%423.336158%3.336158%3.3%7,127,6737.13M3.045685%3.045685%3.0%632.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.514252%2.514252%2.5%13,99414.0k0.937778%0.937778%0.9%1370.937778%0.937778%0.9%13740.918573%0.918573%0.9%1550.910319%0.910319%0.9%1550.856081%0.856081%0.9%1590.856081%0.856081%0.9%1590.000000%0.000000%0.0%050.000000%0.000000%0.0%060.000000%0.000000%0.0%070.000000%0.000000%0.0%080.000000%0.000000%0.0%090.000000%0.000000%0.0%0100.000000%0.000000%0.0%0110.000000%0.000000%0.0%0120.000000%0.000000%0.0%0130.000000%0.000000%0.0%0140.000000%0.000000%0.0%0150.000000%0.000000%0.0%0160.000000%0.000000%0.0%0170.000000%0.000000%0.0%0180.000000%0.000000%0.0%0190.000000%0.000000%0.0%0200.000000%0.000000%0.0%0210.000000%0.000000%0.0%0220.000000%0.000000%0.0%023
Count number of people in category
# rank of county subdivision out of 23 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#32

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 Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
Female
Male
10x5x0x5x10xFM#KranzburgElmiraKampeskaRauvilleWaverlyPhippsS ShrGermantownRichlandFlorencePelicanTown of HenryZIP 57201WatertownCodingtonWatertown 14-4SheridanWatertownWatertownSouth DakotaWest North CentralMidwestUnited StatesFullerKranzburgLake TownshipLeolaEden Township-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%15.094%15.1%1-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%13.008%13.0%2-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%3.810%3.81%3-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%4.301%4.30%4-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%29.412%29.4%5-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%2.381%2.38%6-1.000000x-1.000000x5.959596x5.959596x5.96x1.695%1.69%10.101%10.1%7-1.000000x-1.000000x5.780075x5.780075x5.78x9.333%9.33%53.947%53.9%8-1.000000x-1.000000x4.416667x4.416667x4.42x5.660%5.66%25.000%25.0%9-1.000000x-1.000000x2.609649x2.609649x2.61x1.681%1.68%4.386%4.39%10-1.000000x-1.000000x2.541035x2.541035x2.54x5.217%5.22%13.258%13.3%11-1.000000x-1.000000x1.714286x1.714286x1.71x5.000%5.00%8.571%8.57%12-1.000000x-1.000000x1.484154x1.484154x1.48x6.827%6.83%10.132%10.1%-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%-1.000000x-1.000000x1.425570x1.425570x1.43x6.934%6.93%9.885%9.88%-1.000000x-1.000000x1.394636x1.394636x1.39x20.714%20.7%28.889%28.9%13-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%14-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-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%-1.747368x-1.747368x1.75x1.000000x1.000000x10.526%10.5%6.024%6.02%15-1.981132x-1.981132x1.98x1.000000x1.000000x9.434%9.43%4.762%4.76%16-10.000000x-10.000000x> 10.0x1.000000x1.000000x5.164%5.16%0.000%0%17-10.000000x-10.000000x> 10.0x1.000000x1.000000x7.843%7.84%0.000%0%18-10.000000x-10.000000x> 10.0x1.000000x1.000000x14.815%14.8%0.000%0%19
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 19 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#33

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 Watertown, selected other county subdivisions in the Watertown Area, and entities that contain Watertown
Female
Male
10x5x0x5x10xFM#LeolaWatertownWatertownWatertownCodingtonZIP 57201Watertown 14-4South DakotaMidwestWest North CentralUnited StatesElmiraKampeska-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%6.897%6.90%1-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%2-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%-1.000000x-1.000000x3.494974x3.494974x3.49x0.415%0.42%1.451%1.45%-1.000000x-1.000000x3.462565x3.462565x3.46x0.413%0.41%1.431%1.43%-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.078947x-1.078947x1.08x1.000000x1.000000x5.263%5.26%4.878%4.88%3-10.000000x-10.000000x> 10.0x1.000000x1.000000x6.522%6.52%0.000%0%4
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 4 by male-to-female sex ratio

Educational Attainment by County Subdivision in South Dakota

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

No H.S. Diploma by County Subdivision#34

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Watertown, selected other county subdivisions in South Dakota, and entities that contain Watertown
0%5%10%15%20%25%Count#West ToddEast Oglala LakotaE Oglala LakotaEast CorsonWest Oglala LakotaW Oglala LakotaHuronSissetonEast ToddWinnerMobridgeNorth DeweyUnited States of AmericaUnited StatesNorth Sioux CityN Sioux CityMidwestLeadMilbankFort PierreMitchellPierreSioux FallsCantonSturgisWest North CentralWest ButteYanktonSouth DakotaBox ElderAberdeenZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4Watertown Metro AreaWatertownCodington CountyCodingtonWatertownWatertownRapid 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%49,05549.1k8.696917%8.696917%8.7%299228.481745%8.481745%8.5%1,524238.433092%8.433092%8.4%1,4238.374934%8.374934%8.4%1,4268.146234%8.146234%8.1%1,5138.146234%8.146234%8.1%1,5138.084058%8.084058%8.1%1,1818.084058%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#35

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Watertown, selected other county subdivisions in South Dakota, and entities that contain Watertown
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 DakotaSouthwest MeadeSW MeadeFort PierreMitchellDell RapidsWest YanktonWest ButteWinnerHot SpringsMobridgeEast ToddNorth Sioux CityN Sioux CityZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4CantonWatertown Metro AreaWatertownCodington CountyCodingtonWatertownWatertownBox 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%152,785153k27.215965%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%3603421.536091%21.536091%21.5%3,63421.160510%21.160510%21.2%3,60320.992028%20.992028%21.0%4743520.938997%20.938997%20.9%3,88920.938997%20.938997%20.9%3,88920.898077%20.898077%20.9%3,05320.898077%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#36

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Watertown, selected other county subdivisions in South Dakota, and entities that contain Watertown
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 DakotaAberdeenSouthwest MeadeSW MeadeHartfordBrandonCentral PenningtonCntrl PenningtonSissetonBox ElderNorth Sioux CityN Sioux CityMitchellCantonLeadSturgisWest ToddWatertownWatertownZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4Watertown Metro AreaWatertownCodington CountyCodingtonDell 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%13,99414.0k2.254007%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%1370.937778%0.937778%0.9%137390.918573%0.918573%0.9%1550.910319%0.910319%0.9%1550.856081%0.856081%0.9%1590.856081%0.856081%0.9%1590.724947%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#37

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 Watertown, selected other county subdivisions in South Dakota, and entities that contain Watertown
Female
Male
10x5x0x5xFM#West ButteSW MeadeCantonWest HughesHarrisburgDell RapidsHot SpringsSplit RockSioux FallsWest CusterBox ElderHartfordWest YanktonN Sioux CityMt RushmoreVermillionW Oglala LakotaZIP 57201SturgisWest ToddWatertownCodingtonMitchellWatertown 14-4MilbankFort PierreChamberlainWatertownWatertownSissetonN LawrenceMadisonRedfieldSouth DakotaAberdeenRapid 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-1.000000x1.484154x1.484154x1.48x6.827%6.83%10.132%10.1%-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-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%-1.000000x-1.000000x1.448467x1.448467x1.45x8.208%8.21%11.889%11.9%20-1.000000x-1.000000x1.425570x1.425570x1.43x6.934%6.93%9.885%9.88%-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%-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%24-1.000000x-1.000000x1.293077x1.293077x1.29x15.428%15.4%19.949%19.9%25-1.000000x-1.000000x1.285433x1.285433x1.29x2.828%2.83%3.635%3.63%26-1.000000x-1.000000x1.265403x1.265403x1.27x5.906%5.91%7.474%7.47%27-1.000000x-1.000000x1.255401x1.255401x1.26x5.273%5.27%6.619%6.62%28-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.187620x1.187620x1.19x7.786%7.79%9.247%9.25%29-1.000000x-1.000000x1.168092x1.168092x1.17x7.323%7.32%8.554%8.55%30-1.000000x-1.000000x1.164868x1.164868x1.16x1.468%1.47%1.711%1.71%31-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%32-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100283x1.100283x1.10x18.463%18.5%20.314%20.3%33-1.000000x-1.000000x1.036666x1.036666x1.04x13.258%13.3%13.744%13.7%34-1.000000x-1.000000x1.028284x1.028284x1.03x5.163%5.16%5.309%5.31%35-1.000000x-1.000000x1.012928x1.012928x1.01x10.121%10.1%10.252%10.3%36-1.010176x-1.010176x1.01x1.000000x1.000000x13.723%13.7%13.584%13.6%37-1.080159x-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#38

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 Watertown, selected other county subdivisions in South Dakota, and entities that contain Watertown
Female
Male
10x5x0x5x10xFM#North DeweyMilbankEast ToddRedfieldWatertownWatertownN Sioux CityWinnerWest YanktonHot SpringsFort PierreWatertownCodingtonZIP 57201Watertown 14-4HuronChamberlainAberdeenPierreCntrl PenningtonMt RushmoreBelle FourcheSpearfishSW MeadeVermillionSplit RockBrookingsSioux FallsMitchellCantonBig SiouxSturgisSioux FallsSouth DakotaMobridgeMidwestWest 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%-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-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%-1.000000x-1.000000x3.494974x3.494974x3.49x0.415%0.42%1.451%1.45%-1.000000x-1.000000x3.462565x3.462565x3.46x0.413%0.41%1.431%1.43%-1.000000x-1.000000x3.460356x3.460356x3.46x0.199%0.20%0.688%0.69%11-1.000000x-1.000000x3.254193x3.254193x3.25x1.422%1.42%4.629%4.63%12-1.000000x-1.000000x3.026479x3.026479x3.03x1.147%1.15%3.472%3.47%13-1.000000x-1.000000x2.914741x2.914741x2.91x1.681%1.68%4.899%4.90%14-1.000000x-1.000000x2.553567x2.553567x2.55x1.010%1.01%2.578%2.58%15-1.000000x-1.000000x2.366289x2.366289x2.37x3.793%3.79%8.975%8.98%16-1.000000x-1.000000x2.287156x2.287156x2.29x0.392%0.39%0.897%0.90%17-1.000000x-1.000000x2.199787x2.199787x2.20x2.499%2.50%5.498%5.50%18-1.000000x-1.000000x2.167794x2.167794x2.17x1.415%1.42%3.068%3.07%19-1.000000x-1.000000x2.132400x2.132400x2.13x8.744%8.74%18.645%18.6%20-1.000000x-1.000000x2.066050x2.066050x2.07x3.935%3.93%8.129%8.13%21-1.000000x-1.000000x2.048101x2.048101x2.05x4.523%4.52%9.264%9.26%22-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%23-1.000000x-1.000000x1.946378x1.946378x1.95x0.954%0.95%1.858%1.86%24-1.000000x-1.000000x1.766838x1.766838x1.77x0.919%0.92%1.624%1.62%25-1.000000x-1.000000x1.738512x1.738512x1.74x7.795%7.80%13.553%13.6%26-1.000000x-1.000000x1.728895x1.728895x1.73x0.919%0.92%1.588%1.59%27-1.000000x-1.000000x1.673245x1.673245x1.67x4.505%4.51%7.538%7.54%28-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.619067x1.619067x1.62x2.729%2.73%4.419%4.42%29-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.504887x1.504887x1.50x2.347%2.35%3.532%3.53%30-1.000000x-1.000000x1.487688x1.487688x1.49x1.431%1.43%2.129%2.13%31-1.000000x-1.000000x1.456573x1.456573x1.46x0.967%0.97%1.408%1.41%32-1.000000x-1.000000x1.082861x1.082861x1.08x1.929%1.93%2.089%2.09%33-1.000000x-1.000000x1.054544x1.054544x1.05x2.648%2.65%2.793%2.79%34-1.129941x-1.129941x1.13x1.000000x1.000000x3.587%3.59%3.175%3.17%35-1.144745x-1.144745x1.14x1.000000x1.000000x3.216%3.22%2.810%2.81%36-1.250139x-1.250139x1.25x1.000000x1.000000x2.841%2.84%2.273%2.27%37-1.308470x-1.308470x1.31x1.000000x1.000000x4.271%4.27%3.264%3.26%38-1.550008x-1.550008x1.55x1.000000x1.000000x7.342%7.34%4.737%4.74%39-1.629286x-1.629286x1.63x1.000000x1.000000x1.557%1.56%0.956%0.96%40-1.770327x-1.770327x1.77x1.000000x1.000000x0.922%0.92%0.521%0.52%41-2.097274x-2.097274x2.10x1.000000x1.000000x4.647%4.65%2.216%2.22%42-2.313817x-2.313817x2.31x1.000000x1.000000x3.044%3.04%1.316%1.32%43-2.452703x-2.452703x2.45x1.000000x1.000000x2.477%2.48%1.010%1.01%44-5.513031x-5.513031x5.51x1.000000x1.000000x8.089%8.09%1.467%1.47%45-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.759%0.76%0.000%0%46-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.580%0.58%0.000%0%47
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 47 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

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

No H.S. Diploma by County Subdivision#39

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsWest North CentralSouth DakotaCapital TownshipCapitalZIP Code 57201ZIP 57201Wheeling TownshipWheelingPalatine TownshipPalatineWatertown School District 14-4Watertown 14-4Watertown Metro AreaWatertownCodington CountyCodingtonWatertownWatertownSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonDowners Grove TownshipDowners GrvLisle TownshipLisleOverland ParkAnn Arbor33.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.623103%8.623103%8.6%6,837358.433092%8.433092%8.4%1,4238.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695378.374934%8.374934%8.4%1,4268.146234%8.146234%8.1%1,5138.146234%8.146234%8.1%1,5138.084058%8.084058%8.1%1,1818.084058%8.084058%8.1%1,1817.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.020265%4.020265%4.0%4,166473.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,05750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#40

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipSt. PaulMaine TownshipMaineFargoLincolnLawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsBloomingdale TownshipBloomingdaleCedar RapidsUnited States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsSouth DakotaTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4Watertown Metro AreaWatertownCodington CountyCodingtonWatertownWatertownAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k947.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1439.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.146608%37.146608%37.1%62,25462.3k1836.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.623147%32.623147%32.6%25,12725.1k2731.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2930.056536%30.056536%30.1%4,186,9564.19M28.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3027.532180%27.532180%27.5%25,60325.6k3127.450336%27.450336%27.5%152,785153k27.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3721.536091%21.536091%21.5%3,63421.160510%21.160510%21.2%3,60320.938997%20.938997%20.9%3,88920.938997%20.938997%20.9%3,88920.898077%20.898077%20.9%3,05320.898077%20.898077%20.9%3,05320.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#41

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaSouth DakotaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipWatertownWatertownAurora TownshipAuroraZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4Thornton TownshipThorntonWatertown Metro AreaWatertownCodington CountyCodington17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544114.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.357865%3.357865%3.4%17,95418.0k223.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472252.978981%2.978981%3.0%414,980415k2.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.514252%2.514252%2.5%13,99414.0k2.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455371.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.937778%0.937778%0.9%1370.937778%0.937778%0.9%1370.936111%0.936111%0.9%834490.918573%0.918573%0.9%1550.910319%0.910319%0.9%1550.876686%0.876686%0.9%971500.856081%0.856081%0.9%1590.856081%0.856081%0.9%159
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#42

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 Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
Female
Male
1x0x1xFM#ZIP 57201WatertownCodingtonWatertown 14-4WatertownWatertownSouth DakotaCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x1.484154x1.484154x1.48x6.827%6.83%10.132%10.1%-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%-1.000000x-1.000000x1.425570x1.425570x1.43x6.934%6.93%9.885%9.88%-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.243824x1.243824x1.24x5.354%5.35%6.660%6.66%1-1.000000x-1.000000x1.238529x1.238529x1.24x6.342%6.34%7.854%7.85%2-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%3-1.000000x-1.000000x1.230289x1.230289x1.23x10.968%11.0%13.494%13.5%4-1.000000x-1.000000x1.227011x1.227011x1.23x12.945%12.9%15.884%15.9%5-1.000000x-1.000000x1.203250x1.203250x1.20x11.909%11.9%14.330%14.3%6-1.000000x-1.000000x1.189752x1.189752x1.19x20.748%20.7%24.685%24.7%7-1.000000x-1.000000x1.189278x1.189278x1.19x4.425%4.43%5.263%5.26%8-1.000000x-1.000000x1.181964x1.181964x1.18x9.406%9.41%11.117%11.1%9-1.000000x-1.000000x1.176963x1.176963x1.18x5.565%5.56%6.550%6.55%10-1.000000x-1.000000x1.174964x1.174964x1.17x14.460%14.5%16.990%17.0%11-1.000000x-1.000000x1.168755x1.168755x1.17x14.456%14.5%16.896%16.9%12-1.000000x-1.000000x1.161774x1.161774x1.16x13.244%13.2%15.387%15.4%13-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.132245x1.132245x1.13x19.779%19.8%22.395%22.4%14-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.125507x1.125507x1.13x10.423%10.4%11.732%11.7%15-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%16-1.000000x-1.000000x1.115695x1.115695x1.12x11.779%11.8%13.142%13.1%17-1.000000x-1.000000x1.114342x1.114342x1.11x16.070%16.1%17.907%17.9%18-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%19-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.107847x1.107847x1.11x6.105%6.11%6.764%6.76%20-1.000000x-1.000000x1.099747x1.099747x1.10x10.199%10.2%11.216%11.2%21-1.000000x-1.000000x1.096598x1.096598x1.10x16.317%16.3%17.894%17.9%22-1.000000x-1.000000x1.095440x1.095440x1.10x3.232%3.23%3.540%3.54%23-1.000000x-1.000000x1.086583x1.086583x1.09x32.102%32.1%34.882%34.9%24-1.000000x-1.000000x1.079846x1.079846x1.08x8.111%8.11%8.758%8.76%25-1.000000x-1.000000x1.078480x1.078480x1.08x14.031%14.0%15.132%15.1%26-1.000000x-1.000000x1.077209x1.077209x1.08x7.467%7.47%8.043%8.04%27-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%28-1.000000x-1.000000x1.059528x1.059528x1.06x12.215%12.2%12.942%12.9%29-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%30-1.000000x-1.000000x1.046686x1.046686x1.05x21.119%21.1%22.105%22.1%31-1.000000x-1.000000x1.039581x1.039581x1.04x8.233%8.23%8.559%8.56%32-1.000000x-1.000000x1.039194x1.039194x1.04x8.470%8.47%8.802%8.80%33-1.000000x-1.000000x1.037373x1.037373x1.04x15.022%15.0%15.584%15.6%34-1.000000x-1.000000x1.028857x1.028857x1.03x10.622%10.6%10.928%10.9%35-1.000000x-1.000000x1.027464x1.027464x1.03x5.391%5.39%5.539%5.54%36-1.000000x-1.000000x1.018183x1.018183x1.02x15.334%15.3%15.613%15.6%37-1.000000x-1.000000x1.013146x1.013146x1.01x6.764%6.76%6.853%6.85%38-1.000000x-1.000000x1.007207x1.007207x1.01x12.130%12.1%12.217%12.2%39-1.000000x-1.000000x1.006204x1.006204x1.01x23.095%23.1%23.239%23.2%40-1.000000x-1.000000x1.001229x1.001229x1.00x13.754%13.8%13.771%13.8%41-1.001506x-1.001506x1.00x1.000000x1.000000x13.601%13.6%13.581%13.6%42-1.031649x-1.031649x1.03x1.000000x1.000000x3.205%3.21%3.107%3.11%43-1.060004x-1.060004x1.06x1.000000x1.000000x13.651%13.7%12.879%12.9%44-1.073696x-1.073696x1.07x1.000000x1.000000x3.642%3.64%3.392%3.39%45-1.092939x-1.092939x1.09x1.000000x1.000000x11.450%11.4%10.476%10.5%46-1.131063x-1.131063x1.13x1.000000x1.000000x13.912%13.9%12.300%12.3%47-1.140051x-1.140051x1.14x1.000000x1.000000x4.269%4.27%3.744%3.74%48-1.194783x-1.194783x1.19x1.000000x1.000000x5.710%5.71%4.779%4.78%49-1.208375x-1.208375x1.21x1.000000x1.000000x12.117%12.1%10.027%10.0%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#43

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 Watertown, selected other county subdivisions in the Midwest, and entities that contain Watertown
Female
Male
0x2x4xFM#WatertownWatertownWatertownCodingtonZIP 57201Watertown 14-4RockfordNDaytonSioux FallsCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaSouth DakotaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%-1.000000x-1.000000x3.494974x3.494974x3.49x0.415%0.42%1.451%1.45%-1.000000x-1.000000x3.462565x3.462565x3.46x0.413%0.41%1.431%1.43%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

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

No H.S. Diploma by County Subdivision#44

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueTownship 1:Charlotte1, CharlotteColumbusTulsaSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleSouth DakotaZIP Code 57201ZIP 57201Northeast TarrantNE TarrantWatertown School District 14-4Watertown 14-4Watertown Metro AreaWatertownCodington CountyCodingtonWatertownWatertownPlanoSeattle East28.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.813537%8.813537%8.8%49,05549.1k8.433092%8.433092%8.4%1,4238.418271%8.418271%8.4%31,44331.4k488.374934%8.374934%8.4%1,4268.146234%8.146234%8.1%1,5138.146234%8.146234%8.1%1,5138.084058%8.084058%8.1%1,1818.084058%8.084058%8.1%1,1815.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#45

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleBostonDenverAustinTownship 1:Charlotte1, CharlotteTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantNorthwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityAlbuquerqueTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonWest North CentralBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoSouth DakotaEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4El PasoWatertown Metro AreaWatertownCodington CountyCodingtonWatertownWatertownBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k846.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1238.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1536.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.636312%32.636312%32.6%140,967141k2432.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3030.056536%30.056536%30.1%4,186,9564.19M29.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.450336%27.450336%27.5%152,785153k27.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.536091%21.536091%21.5%3,63421.160510%21.160510%21.2%3,60321.071885%21.071885%21.1%72,12072.1k4620.938997%20.938997%20.9%3,88920.938997%20.938997%20.9%3,88920.898077%20.898077%20.9%3,05320.898077%20.898077%20.9%3,05319.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#46

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoColumbusUnited States of AmericaUnited StatesTulsaPhoenixLong Beach-LakewoodLong Bch-LakewoodWest North CentralMidwestOrlandoFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantSouth DakotaEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroitWatertownWatertownZIP Code 57201ZIP 57201Watertown School District 14-4Watertown 14-4Watertown Metro AreaWatertownCodington CountyCodington12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.357865%3.357865%3.4%17,95418.0k303.336158%3.336158%3.3%7,127,6737.13M3.140490%3.140490%3.1%12,13312.1k313.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.514252%2.514252%2.5%13,99414.0k2.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455441.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,693500.937778%0.937778%0.9%1370.937778%0.937778%0.9%1370.918573%0.918573%0.9%1550.910319%0.910319%0.9%1550.856081%0.856081%0.9%1590.856081%0.856081%0.9%159
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#47

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 Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
Female
Male
1x0x1xFM#ZIP 57201WatertownCodingtonWatertown 14-4WatertownWatertown1, CharlotteSouth DakotaDetroitBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisBronxPlanoBrooklynSan Antonio CntrlSan Fernando VlyTucsonAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…Los AngelesLas VegasBostonE San Gabriel VlyQueensMiamiManhattanSeattleLong Bch-LakewoodSeattle EastSan JoseSan DiegoSan FranciscoEl Paso-1.000000x-1.000000x1.484154x1.484154x1.48x6.827%6.83%10.132%10.1%-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%-1.000000x-1.000000x1.462561x1.462561x1.46x6.634%6.63%9.703%9.70%-1.000000x-1.000000x1.425570x1.425570x1.43x6.934%6.93%9.885%9.88%-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%-1.000000x-1.000000x1.285784x1.285784x1.29x10.185%10.2%13.096%13.1%1-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.237056x1.237056x1.24x18.951%19.0%23.443%23.4%2-1.000000x-1.000000x1.179669x1.179669x1.18x15.289%15.3%18.036%18.0%3-1.000000x-1.000000x1.177766x1.177766x1.18x10.417%10.4%12.268%12.3%4-1.000000x-1.000000x1.160109x1.160109x1.16x22.304%22.3%25.875%25.9%5-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.127206x1.127206x1.13x20.830%20.8%23.479%23.5%6-1.000000x-1.000000x1.123984x1.123984x1.12x16.526%16.5%18.574%18.6%7-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.099797x1.099797x1.10x19.814%19.8%21.791%21.8%8-1.000000x-1.000000x1.099188x1.099188x1.10x20.902%20.9%22.975%23.0%9-1.000000x-1.000000x1.092101x1.092101x1.09x9.951%9.95%10.868%10.9%10-1.000000x-1.000000x1.090284x1.090284x1.09x13.111%13.1%14.294%14.3%11-1.000000x-1.000000x1.090163x1.090163x1.09x16.700%16.7%18.206%18.2%12-1.000000x-1.000000x1.088515x1.088515x1.09x16.417%16.4%17.871%17.9%13-1.000000x-1.000000x1.081887x1.081887x1.08x26.536%26.5%28.709%28.7%14-1.000000x-1.000000x1.078150x1.078150x1.08x13.148%13.1%14.176%14.2%15-1.000000x-1.000000x1.073220x1.073220x1.07x9.215%9.21%9.889%9.89%16-1.000000x-1.000000x1.071348x1.071348x1.07x19.379%19.4%20.762%20.8%17-1.000000x-1.000000x1.069008x1.069008x1.07x14.467%14.5%15.465%15.5%18-1.000000x-1.000000x1.068021x1.068021x1.07x16.372%16.4%17.486%17.5%19-1.000000x-1.000000x1.066879x1.066879x1.07x11.714%11.7%12.497%12.5%20-1.000000x-1.000000x1.064309x1.064309x1.06x9.751%9.75%10.378%10.4%21-1.000000x-1.000000x1.053268x1.053268x1.05x13.558%13.6%14.280%14.3%22-1.000000x-1.000000x1.052237x1.052237x1.05x11.098%11.1%11.678%11.7%23-1.000000x-1.000000x1.051272x1.051272x1.05x10.176%10.2%10.697%10.7%24-1.000000x-1.000000x1.049933x1.049933x1.05x13.307%13.3%13.971%14.0%25-1.000000x-1.000000x1.040742x1.040742x1.04x8.257%8.26%8.594%8.59%26-1.000000x-1.000000x1.040003x1.040003x1.04x12.734%12.7%13.244%13.2%27-1.000000x-1.000000x1.039910x1.039910x1.04x15.694%15.7%16.321%16.3%28-1.000000x-1.000000x1.038394x1.038394x1.04x9.953%9.95%10.335%10.3%29-1.000000x-1.000000x1.030539x1.030539x1.03x28.448%28.4%29.316%29.3%30-1.000000x-1.000000x1.023151x1.023151x1.02x5.652%5.65%5.783%5.78%31-1.000000x-1.000000x1.018960x1.018960x1.02x19.845%19.8%20.221%20.2%32-1.000000x-1.000000x1.003929x1.003929x1.00x28.944%28.9%29.058%29.1%33-1.000000x-1.000000x1.003840x1.003840x1.00x19.308%19.3%19.383%19.4%34-1.006471x-1.006471x1.01x1.000000x1.000000x12.301%12.3%12.222%12.2%35-1.008020x-1.008020x1.01x1.000000x1.000000x22.734%22.7%22.553%22.6%36-1.013004x-1.013004x1.01x1.000000x1.000000x24.995%25.0%24.674%24.7%37-1.016645x-1.016645x1.02x1.000000x1.000000x16.036%16.0%15.774%15.8%38-1.022333x-1.022333x1.02x1.000000x1.000000x14.476%14.5%14.159%14.2%39-1.026902x-1.026902x1.03x1.000000x1.000000x20.723%20.7%20.180%20.2%40-1.027762x-1.027762x1.03x1.000000x1.000000x19.596%19.6%19.067%19.1%41-1.030897x-1.030897x1.03x1.000000x1.000000x22.136%22.1%21.473%21.5%42-1.044246x-1.044246x1.04x1.000000x1.000000x13.260%13.3%12.698%12.7%43-1.049689x-1.049689x1.05x1.000000x1.000000x9.047%9.05%8.619%8.62%44-1.056864x-1.056864x1.06x1.000000x1.000000x19.921%19.9%18.849%18.8%45-1.057675x-1.057675x1.06x1.000000x1.000000x5.050%5.05%4.774%4.77%46-1.127548x-1.127548x1.13x1.000000x1.000000x13.555%13.6%12.021%12.0%47-1.168454x-1.168454x1.17x1.000000x1.000000x13.975%14.0%11.960%12.0%48-1.228758x-1.228758x1.23x1.000000x1.000000x13.883%13.9%11.298%11.3%49-1.276282x-1.276282x1.28x1.000000x1.000000x26.394%26.4%20.680%20.7%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#48

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 Watertown, selected other county subdivisions in the United States, and entities that contain Watertown
Female
Male
0x2x4xFM#WatertownWatertownWatertownCodingtonZIP 57201Watertown 14-4El PasoSalt Lk CityPlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixSouth DakotaTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%-1.000000x-1.000000x5.124982x5.124982x5.12x0.315%0.32%1.615%1.62%-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%-1.000000x-1.000000x3.517091x3.517091x3.52x0.382%0.38%1.344%1.34%-1.000000x-1.000000x3.494974x3.494974x3.49x0.415%0.42%1.451%1.45%-1.000000x-1.000000x3.462565x3.462565x3.46x0.413%0.41%1.431%1.43%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.656908x1.656908x1.66x1.896%1.90%3.141%3.14%-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.572017x1.572017x1.57x2.329%2.33%3.662%3.66%-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

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

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

The coarse levels of educational attainment are as follows:

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

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

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State:
South Dakota
County:
Codington
Metro Area:
Watertown Area
City:
Watertown
ZIP Code:
57201
Unified School District:
Watertown 14-4
Congressional District:
SD-At Large
State Senate Districts:
SD-4, SD-5
State House Districts:
SD-4, SD-5
Neighboring Townships:
Elmira, Lake, Pelican, Richland, Sheridan
Nearby Townships:
Castlewood, Fuller, Graceland, Kampeska, Kranzburg, Oxford, Rauville, Waverly