Educational Attainment in Whitewood, Lawrence County, South Dakota (City)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Lawrence County and Whitewood
Whitewood
Lawrence County
0%20%40%60%CountHigher Degree1H.S. Diploma2No H.S. Diploma223.824959%39.659554%23.824959%23.8%14765.802269%54.329452%65.802269%65.8%40610.372771%6.010994%10.372771%10.4%64
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 Lawrence County at large.
Scope: population of Lawrence County and Whitewood
-50%0%+50%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma2-39.926306%-39.926306%-39.9%23.825%23.8%39.660%39.7%21.117122%21.117122%+21.1%65.802%65.8%54.329%54.3%72.563344%72.563344%+72.6%10.373%10.4%6.011%6.01%
% percentage with given level in Whitewood
ref. percentage with given level in Lawrence 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 Lawrence County and Whitewood
Whitewood
Lawrence County
0%10%20%30%40%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None0.648298%1.968201%0.648298%0.6%40.162075%0.857025%0.162075%0.2%13.403566%7.671848%3.403566%3.4%2112.803890%21.106448%12.803890%12.8%796.807131%8.056032%6.807131%6.8%4217.828201%23.169218%17.828201%17.8%11047.974068%31.160234%47.974068%48.0%2964.862237%3.847745%4.862237%4.9%302.106969%1.985933%2.106969%2.1%133.403566%0.177315%3.403566%3.4%21
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 Lawrence County at large.
Scope: population of Lawrence County and Whitewood
-1k%0k%+1k%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None-67.061389%-67.061389%-0.1k%0.648%0.65%1.968%1.97%-81.088694%-81.088694%-0.1k%0.162%0.16%0.857%0.86%-55.635649%-55.635649%-0.1k%3.404%3.40%7.672%7.67%-39.336597%-39.336597%-0.0k%12.804%12.8%21.106%21.1%-15.502675%-15.502675%-0.0k%6.807%6.81%8.056%8.06%-23.052211%-23.052211%-0.0k%17.828%17.8%23.169%23.2%53.959267%53.959267%+0.1k%47.974%48.0%31.160%31.2%26.365870%26.365870%+0.0k%4.862%4.86%3.848%3.85%6.094679%6.094679%+0.0k%2.107%2.11%1.986%1.99%1,819.497569%1,819.497569%+1.8k%3.404%3.40%0.177%0.18%
% percentage with given level in Whitewood
ref. percentage with given level in Lawrence 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 Lawrence County and Whitewood
More Females More Males
Lawrence County
Whitewood
50%0%50%FMHigher Degree1H.S. Diploma2No H.S. Diploma2-75.036311%-13.212600%-75.036311%75%30.392%30.4%17.363%17.4%12.968917%8.999844%12.968917%13%61.765%61.8%69.775%69.8%63.987138%3.835638%63.987138%64%7.843%7.84%12.862%12.9%
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 Lawrence County and Whitewood
More Females More Males
Lawrence County
Whitewood
1k%0k%1k%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1,000.000000%8.508016%1,000.000000%> 1000%0.000%0%1.286%1.29%1,000.000000%298.820148%1,000.000000%> 1000%0.000%0%0.322%0.32%-1,000.000000%-1,000.000000%> 1000%2.133962%6.536%6.54%0.322%0.32%-180.703392%-19.211416%-180.703392%0k%18.954%19.0%6.752%6.75%-38.243187%77.106109%77.106109%0k%4.902%4.90%8.682%8.68%22.488352%4.465560%22.488352%0k%16.013%16.0%19.614%19.6%9.637115%12.501250%9.637115%0k%45.752%45.8%50.161%50.2%-52.450980%-65.690959%-52.450980%0k%5.882%5.88%3.859%3.86%121.382637%188.740332%121.382637%0k%1.307%1.31%2.894%2.89%834.726688%186.110106%834.726688%1k%0.654%0.65%6.109%6.11%
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 Lawrence County and Whitewood
Whitewood
Lawrence County
0%5%10%15%20%25%B.X.Total65+45-6435-4425-343.759398%15.334531%3.759398%3.8%51337.731959%22.649573%7.731959%7.7%1519420.779221%17.607313%20.779221%20.8%3215419.852941%29.190850%19.852941%19.9%27136
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 Lawrence County at large.
Scope: population of Lawrence County and Whitewood
60%40%20%0%%ref.65+45-6435-4425-34-75.484098%-75.484098%75.5%3.759%3.76%15.335%15.3%-65.862673%-65.862673%65.9%7.732%7.73%22.650%22.6%18.014717%18.014717%18.0%20.779%20.8%17.607%17.6%-31.989164%-31.989164%32.0%19.853%19.9%29.191%29.2%
% percentage in Whitewood with a Bachelor's degree
ref percentage in Lawrence 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 Lawrence County and Whitewood
More Females More Males
Lawrence County
Whitewood
600%400%200%0%FM65+45-6435-4425-3466.666667%31.412682%66.666667%66.7%2.857%2.86%4.762%4.76%-651.111111%-15.408958%-651.111111%651.1%14.444%14.4%1.923%1.92%-103.500000%-22.664537%-103.500000%103.5%27.500%27.5%13.514%13.5%-271.212121%-91.821855%-271.212121%271.2%31.818%31.8%8.571%8.57%
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 Lawrence County and Whitewood
Whitewood
Lawrence County
$0k$20k$40kCount%Graduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2No H.S. Diploma2Total$47,292.000000$55,025.000000$47,292.000000$47.3k264.214%4.21%$41,250.000000$31,210.000000$41,250.000000$41.3k7912.804%12.8%$33,125.000000$29,113.000000$33,125.000000$33.1k15224.635%24.6%$23,173.000000$27,167.000000$23,173.000000$23.2k29647.974%48.0%$31,667.000000$25,129.000000$31,667.000000$31.7k6410.373%10.4%$30,923.000000$30,926.000000$30,923.000000$30.9k617100.000%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 Lawrence County and Whitewood
Female Male
Lawrence County
Whitewood
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40kFMGraduate Degree1Bachelor's DegreeSome CollegeH.S. Diploma2Total$-33,750.000000$-14,375.000000$-50,536.000000$-6,439.000000$-48,125.000000$48.1k$33,750.000000$50,536.000000$33,750.000000$33.8k206$-38,750.000000$-30,048.000000$-38,750.000000$38.8k$38,750.000000$12,500.000000$30,048.000000$5,388.000000$51,250.000000$51.3k5821$-23,438.000000$-25,429.000000$-23,438.000000$23.4k$23,438.000000$16,789.000000$25,429.000000$10,023.000000$40,227.000000$40.2k6488$-20,074.000000$-15,722.000000$-20,074.000000$20.1k$20,074.000000$11,890.000000$15,722.000000$23,018.000000$31,964.000000$32.0k140156$-23,512.000000$-25,664.000000$-23,512.000000$23.5k$23,512.000000$13,411.000000$25,664.000000$12,384.000000$36,923.000000$36.9k306311
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Employment by Educational Attainment#12

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Lawrence County and Whitewood
Whitewood
Lawrence County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma385.106383%81.269387%85.106383%85.1%8095.535714%77.200504%95.535714%95.5%10780.816327%73.556552%80.816327%80.8%19866.666667%85.465116%66.666667%66.7%22
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#13

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Lawrence County and Whitewood
Female Male
Lawrence County
Whitewood
Shaded bar tips show excess over facing bar.
5%0%5%10%MFWhite1Hispanic2Other1-8.664260%-5.781979%-8.664260%8.7%8.664260%4.379218%5.781979%0.302008%13.043478%13.0%3924-0.000000%-6.172840%-3.140886%0.000000%0.0%0.000000%0.000000%6.172840%0.000000%0.0%00-0.000000%-8.482143%0.000000%0.0%0.000000%8.333333%8.482143%2.455357%8.333333%8.3%10
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#14

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Lawrence County and Whitewood
Female Male
Lawrence County
Whitewood
Shaded bar tips show excess over facing bar.
30%20%10%0%10%20%30%MFWhite1Hispanic2Other1-9.030100%-17.684701%-30.407286%-2.676436%-26.714801%26.7%9.030100%30.407286%9.030100%9.0%2774-0.000000%-21.052632%-14.197531%-9.822077%-21.052632%21.1%0.000000%14.197531%0.000000%0.0%04-0.000000%-16.666667%-15.104167%-1.860119%-16.666667%16.7%0.000000%15.104167%0.000000%0.0%04
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Educational Attainment by County Subdivision in the Spearfish Area

There are 8 county subdivisions in the Spearfish Area. This section compares Whitewood to all of the county subdivisions in the Spearfish Area and to those entities that contain or substantially overlap with Whitewood.

No H.S. Diploma by County Subdivision#15

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Whitewood, selected other county subdivisions in the Spearfish Area, and entities that contain Whitewood
0%5%10%15%Count#Central CityUnited States of AmericaUnited StatesDeadwoodWhitewoodWhitewoodMidwestLeadWest North CentralSouth DakotaMeade School District 46-1Meade 46-1South LawrenceS LawrenceSpearfish Metro AreaSpearfishLawrence CountyLawrenceZIP Code 57793ZIP 57793Spearfish966100Tract 966100North LawrenceN LawrenceSt. Onge TownshipSt. Onge17.796610%17.796610%17.8%21113.020590%13.020590%13.0%27,818,38027.8M10.471204%10.471204%10.5%100210.372771%10.372771%10.4%6410.372771%10.372771%10.4%64310.244520%10.244520%10.2%4,641,8354.64M10.186389%10.186389%10.2%23549.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k7.467113%7.467113%7.5%9826.401617%6.401617%6.4%9556.010994%6.010994%6.0%1,0176.010994%6.010994%6.0%1,0175.503440%5.503440%5.5%885.231536%5.231536%5.2%35765.226047%5.226047%5.2%2523.233720%3.233720%3.2%14570.000000%0.000000%0.0%08
Count number of people in category
# rank of county subdivision out of 8 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#16

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Whitewood, selected other county subdivisions in the Spearfish Area, and entities that contain Whitewood
0%10%20%30%40%Count#St. Onge TownshipSt. OngeNorth LawrenceN LawrenceSpearfishSpearfish Metro AreaSpearfishLawrence CountyLawrence966100Tract 966100United States of AmericaUnited StatesWest North CentralSouth LawrenceS LawrenceMidwestLeadSouth DakotaZIP Code 57793ZIP 57793Meade School District 46-1Meade 46-1WhitewoodWhitewoodDeadwoodCentral City43.076923%43.076923%43.1%56138.157895%38.157895%38.2%1,711233.015826%33.015826%33.0%2,253331.603523%31.603523%31.6%5,34731.603523%31.603523%31.6%5,34731.314807%31.314807%31.3%1,51030.315023%30.315023%30.3%64,767,78764.8M30.056536%30.056536%30.1%4,186,9564.19M29.514825%29.514825%29.5%438428.952816%28.952816%29.0%13,118,64213.1M27.568270%27.568270%27.6%636527.450336%27.450336%27.5%152,785153k24.765478%24.765478%24.8%39623.351836%23.351836%23.4%3,07117.017828%17.017828%17.0%10517.017828%17.017828%17.0%105614.973822%14.973822%15.0%14374.237288%4.237288%4.2%58
Count number of people in category
# rank of county subdivision out of 8 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#17

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Whitewood, selected other county subdivisions in the Spearfish Area, and entities that contain Whitewood
0%1%2%3%4%Count#966100Tract 966100SpearfishSouth LawrenceS LawrenceUnited States of AmericaUnited StatesWest North CentralMidwestSpearfish Metro AreaSpearfishLawrence CountyLawrenceNorth LawrenceN LawrenceSouth DakotaMeade School District 46-1Meade 46-1LeadWhitewoodWhitewoodZIP Code 57793ZIP 57793DeadwoodCentral CitySt. Onge TownshipSt. Onge4.292825%4.292825%4.3%2073.898007%3.898007%3.9%26613.638814%3.638814%3.6%5423.336158%3.336158%3.3%7,127,6737.13M2.978981%2.978981%3.0%414,980415k2.893416%2.893416%2.9%1,311,0191.31M2.825226%2.825226%2.8%4782.825226%2.825226%2.8%4782.720785%2.720785%2.7%12232.514252%2.514252%2.5%13,99414.0k1.756520%1.756520%1.8%2311.257044%1.257044%1.3%2940.810373%0.810373%0.8%50.810373%0.810373%0.8%550.312695%0.312695%0.3%50.209424%0.209424%0.2%260.000000%0.000000%0.0%070.000000%0.000000%0.0%08
Count number of people in category
# rank of county subdivision out of 8 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#18

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 Whitewood, selected other county subdivisions in the Spearfish Area, and entities that contain Whitewood
Female
Male
2x1x0x1x2xFM#ZIP 57793Meade 46-1WhitewoodWhitewoodS LawrenceTract 966100N LawrenceSouth DakotaWest North CentralMidwestUnited StatesSpearfishLawrenceSpearfishLeadCentral CityDeadwood-1.000000x-1.000000x2.533333x2.533333x2.53x3.081%3.08%7.805%7.80%-1.000000x-1.000000x2.315644x2.315644x2.32x4.538%4.54%10.508%10.5%-1.000000x-1.000000x1.639871x1.639871x1.64x7.843%7.84%12.862%12.9%-1.000000x-1.000000x1.639871x1.639871x1.64x7.843%7.84%12.862%12.9%1-1.000000x-1.000000x1.530612x1.530612x1.53x5.000%5.00%7.653%7.65%2-1.000000x-1.000000x1.334615x1.334615x1.33x4.467%4.47%5.962%5.96%-1.000000x-1.000000x1.285433x1.285433x1.29x2.828%2.83%3.635%3.63%3-1.000000x-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%-1.000000x-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%-1.000000x-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%-1.000000x-1.000000x1.028284x1.028284x1.03x5.163%5.16%5.309%5.31%4-1.000000x-1.000000x1.012928x1.012928x1.01x10.121%10.1%10.252%10.3%5-1.877551x-1.877551x1.88x1.000000x1.000000x24.490%24.5%13.043%13.0%6-2.223586x-2.223586x2.22x1.000000x1.000000x14.315%14.3%6.438%6.44%7
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 7 by male-to-female sex ratio

Over-Education Sex Ratio by County Subdivision#19

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 Whitewood, selected other county subdivisions in the Spearfish Area, and entities that contain Whitewood
Female
Male
10x5x0x5x10xFM#ZIP 57793WhitewoodWhitewoodTract 966100SpearfishMeade 46-1South DakotaMidwestWest North CentralSpearfishLawrenceUnited StatesS LawrenceN LawrenceLeadDeadwood-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.610%0.61%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.608%1.61%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.608%1.61%1-1.000000x-1.000000x2.266132x2.266132x2.27x2.613%2.61%5.921%5.92%-1.000000x-1.000000x2.199787x2.199787x2.20x2.499%2.50%5.498%5.50%2-1.000000x-1.000000x1.959759x1.959759x1.96x1.194%1.19%2.340%2.34%-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-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%-1.000000x-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.203416x1.203416x1.20x3.286%3.29%3.954%3.95%3-1.000000x-1.000000x1.054544x1.054544x1.05x2.648%2.65%2.793%2.79%4-1.629286x-1.629286x1.63x1.000000x1.000000x1.557%1.56%0.956%0.96%5-10.000000x-10.000000x> 10.0x1.000000x1.000000x0.409%0.41%0.000%0%6
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 6 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 Whitewood to the 50 most populous county subdivisions in South Dakota and to those entities that contain or substantially overlap with Whitewood. The least populous of the compared county subdivisions has a population of 2,278.

No H.S. Diploma by County Subdivision#20

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Whitewood, selected other county subdivisions in South Dakota, and entities that contain Whitewood
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 CityWhitewoodWhitewoodMidwestLeadMilbankFort PierreMitchellPierreSioux FallsCantonSturgisWest North CentralWest ButteYanktonSouth DakotaBox ElderAberdeenWatertownRapid CityMeade School District 46-1Meade 46-1Hot SpringsWest CusterChamberlainBelle FourcheMadisonSouthwest MeadeSW MeadeWest YanktonSpearfish Metro AreaSpearfishLawrence CountyLawrenceRedfieldZIP Code 57793ZIP 57793HartfordCentral PenningtonCntrl PenningtonSpearfish966100Tract 966100Dell 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%2041110.372771%10.372771%10.4%6410.372771%10.372771%10.4%6410.244520%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%1,524238.084058%8.084058%8.1%1,181247.926704%7.926704%7.9%3,850257.467113%7.467113%7.5%9827.445632%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%162326.010994%6.010994%6.0%1,0176.010994%6.010994%6.0%1,0175.858171%5.858171%5.9%114335.503440%5.503440%5.5%885.492639%5.492639%5.5%97345.278205%5.278205%5.3%480355.231536%5.231536%5.2%357365.226047%5.226047%5.2%2525.117271%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#21

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Whitewood, selected other county subdivisions in South Dakota, and entities that contain Whitewood
0%20%40%Count#VermillionSioux FallsHarrisburgBig Sioux TownshipBig SiouxBrookingsSplit Rock TownshipSplit RockWest HughesMount RushmoreMt RushmoreSpringdale TownshipSpringdaleNorth LawrenceN LawrenceTeaHartfordBrandonMadisonSpearfishPierreSpearfish Metro AreaSpearfishLawrence CountyLawrence966100Tract 966100Rapid CityUnited States of AmericaUnited StatesSioux FallsWest North CentralYanktonWest CusterChamberlainMidwestAberdeenLeadSouth DakotaSouthwest MeadeSW MeadeFort PierreMitchellDell RapidsWest YanktonWest ButteZIP Code 57793ZIP 57793WinnerMeade School District 46-1Meade 46-1Hot SpringsMobridgeEast ToddNorth Sioux CityN Sioux CityCantonWatertownBox ElderHuronSturgisCentral PenningtonCntrl PenningtonSissetonBelle FourcheRedfieldBox ElderWhitewoodWhitewoodNorth 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%3,1831631.603523%31.603523%31.6%5,34731.603523%31.603523%31.6%5,34731.314807%31.314807%31.3%1,51030.533251%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%4282924.765478%24.765478%24.8%39624.065770%24.065770%24.1%4833023.351836%23.351836%23.4%3,07122.889790%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%6064417.017828%17.017828%17.0%10517.017828%17.017828%17.0%10513.538800%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#22

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Whitewood, selected other county subdivisions in South Dakota, and entities that contain Whitewood
0%5%10%Count#VermillionBig Sioux TownshipBig SiouxBrookingsMount RushmoreMt RushmoreSplit Rock TownshipSplit RockSpringdale TownshipSpringdaleSioux FallsWest Hughes966100Tract 966100Fort PierreWinnerSpearfishMadisonMobridgeHarrisburgTeaWest YanktonUnited States of AmericaUnited StatesHot SpringsPierreYanktonWest North CentralChamberlainRapid CityMidwestSioux FallsSpearfish Metro AreaSpearfishLawrence CountyLawrenceNorth LawrenceN LawrenceRedfieldWest CusterSouth DakotaAberdeenSouthwest MeadeSW MeadeHartfordBrandonCentral PenningtonCntrl PenningtonSissetonBox ElderMeade School District 46-1Meade 46-1North Sioux CityN Sioux CityMitchellCantonLeadSturgisWest ToddWatertownWhitewoodWhitewoodDell RapidsBelle FourcheMilbankNorth DeweyHuronEast ToddWest Oglala LakotaW Oglala LakotaZIP Code 57793ZIP 57793Box 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%8284.292825%4.292825%4.3%2074.150702%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%2,672222.825226%2.825226%2.8%4782.825226%2.825226%2.8%4782.720785%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%61321.756520%1.756520%1.8%2311.437987%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%137390.810373%0.810373%0.8%50.810373%0.810373%0.8%50.724947%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%17460.312695%0.312695%0.3%50.257511%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#23

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 Whitewood, selected other county subdivisions in South Dakota, and entities that contain Whitewood
Female
Male
10x5x0x5xFM#West ButteSW MeadeCantonWest HughesHarrisburgDell RapidsZIP 57793Meade 46-1Hot SpringsSplit RockSioux FallsWest CusterWhitewoodWhitewoodBox ElderHartfordWest YanktonN Sioux CityMt RushmoreVermillionW Oglala LakotaSturgisWest ToddMitchellMilbankFort PierreTract 966100ChamberlainWatertownSissetonN LawrenceMadisonRedfieldSouth DakotaAberdeenRapid CitySpringdaleWest North CentralMidwestSioux FallsUnited StatesHuronSpearfishLawrenceNorth 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-1.000000x2.533333x2.533333x2.53x3.081%3.08%7.805%7.80%-1.000000x-1.000000x2.315644x2.315644x2.32x4.538%4.54%10.508%10.5%-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-1.000000x1.639871x1.639871x1.64x7.843%7.84%12.862%12.9%-1.000000x-1.000000x1.639871x1.639871x1.64x7.843%7.84%12.862%12.9%-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-1.000000x1.334615x1.334615x1.33x4.467%4.47%5.962%5.96%-1.000000x-1.000000x1.320837x1.320837x1.32x6.455%6.46%8.526%8.53%23-1.000000x-1.000000x1.318828x1.318828x1.32x7.013%7.01%9.249%9.25%24-1.000000x-1.000000x1.293077x1.293077x1.29x15.428%15.4%19.949%19.9%25-1.000000x-1.000000x1.285433x1.285433x1.29x2.828%2.83%3.635%3.63%26-1.000000x-1.000000x1.265403x1.265403x1.27x5.906%5.91%7.474%7.47%27-1.000000x-1.000000x1.255401x1.255401x1.26x5.273%5.27%6.619%6.62%28-1.000000x-1.000000x1.244888x1.244888x1.24x7.858%7.86%9.783%9.78%-1.000000x-1.000000x1.187620x1.187620x1.19x7.786%7.79%9.247%9.25%29-1.000000x-1.000000x1.168092x1.168092x1.17x7.323%7.32%8.554%8.55%30-1.000000x-1.000000x1.164868x1.164868x1.16x1.468%1.47%1.711%1.71%31-1.000000x-1.000000x1.137506x1.137506x1.14x8.598%8.60%9.780%9.78%-1.000000x-1.000000x1.127915x1.127915x1.13x9.647%9.65%10.881%10.9%-1.000000x-1.000000x1.110589x1.110589x1.11x9.201%9.20%10.219%10.2%32-1.000000x-1.000000x1.109070x1.109070x1.11x12.369%12.4%13.719%13.7%-1.000000x-1.000000x1.100283x1.100283x1.10x18.463%18.5%20.314%20.3%33-1.000000x-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%-1.000000x-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%-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#24

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 Whitewood, selected other county subdivisions in South Dakota, and entities that contain Whitewood
Female
Male
10x5x0x5x10xFM#ZIP 57793WhitewoodWhitewoodNorth DeweyMilbankEast ToddRedfieldWatertownN Sioux CityWinnerWest YanktonHot SpringsFort PierreHuronChamberlainAberdeenPierreCntrl PenningtonMt RushmoreBelle FourcheTract 966100SpearfishSW MeadeVermillionSplit RockBrookingsSioux FallsMeade 46-1MitchellCantonBig SiouxSturgisSioux FallsSouth DakotaMobridgeMidwestWest North CentralSpearfishLawrenceUnited StatesRapid CityBox ElderWest ToddBrandonN LawrenceTeaYanktonWest CusterMadisonSpringdaleLeadDell RapidsHarrisburgHartfordSissetonWest HughesW Oglala LakotaBox Elder-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.610%0.61%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.608%1.61%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.608%1.61%-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-1.000000x2.266132x2.266132x2.27x2.613%2.61%5.921%5.92%-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-1.000000x1.959759x1.959759x1.96x1.194%1.19%2.340%2.34%-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-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%-1.000000x-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%-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 Whitewood to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with Whitewood. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#25

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Whitewood, selected other county subdivisions in the Midwest, and entities that contain Whitewood
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 TownshipWorthWhitewoodWhitewoodMidwestLawrence TownshipLawrenceSioux FallsWest North CentralSouth DakotaCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgMeade School District 46-1Meade 46-1LincolnWashington TownshipWashingtonOlatheFargoSpearfish Metro AreaSpearfishLawrence CountyLawrenceCedar RapidsZIP Code 57793ZIP 57793York TownshipMilton TownshipMilton966100Tract 966100MadisonDowners 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%11,17511.2k3210.372771%10.372771%10.4%6410.372771%10.372771%10.4%6410.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.174633%9.174633%9.2%1,278,0511.28M8.813537%8.813537%8.8%49,05549.1k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.467113%7.467113%7.5%9827.092309%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%4,270426.010994%6.010994%6.0%1,0176.010994%6.010994%6.0%1,0175.981653%5.981653%6.0%5,099435.503440%5.503440%5.5%885.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126455.226047%5.226047%5.2%2524.836248%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#26

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Whitewood, selected other county subdivisions in the Midwest, and entities that contain Whitewood
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 RapidsSpearfish Metro AreaSpearfishLawrence CountyLawrence966100Tract 966100United States of AmericaUnited StatesSioux FallsWest North CentralMidwestWichitaSterling HeightsSterling HtsSouth DakotaTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthZIP Code 57793ZIP 57793MilwaukeeMeade School District 46-1Meade 46-1Rockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWhitewoodWhitewoodWayne 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%27,10227.1k2831.603523%31.603523%31.6%5,34731.603523%31.603523%31.6%5,34731.314807%31.314807%31.3%1,51030.315023%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%26,38926.4k3524.765478%24.765478%24.8%39623.517740%23.517740%23.5%85,81285.8k3623.351836%23.351836%23.4%3,07121.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4417.017828%17.017828%17.0%10517.017828%17.017828%17.0%10516.826535%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#27

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Whitewood, selected other county subdivisions in the Midwest, and entities that contain Whitewood
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonSt. LouisCincinnatiLincolnChicagoFargo966100Tract 966100Capital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingColumbusUnited States of AmericaUnited StatesTopekaGrand RapidsLawrence TownshipLawrenceWest North CentralSpringfield TownshipSpringfieldCedar RapidsMidwestSioux FallsOlatheSpearfish Metro AreaSpearfishLawrence CountyLawrenceCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaSouth DakotaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeWorth TownshipWorthClevelandMeade School District 46-1Meade 46-1ToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThorntonWhitewoodWhitewoodZIP Code 57793ZIP 5779317.877867%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%3,058164.292825%4.292825%4.3%2074.233985%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%2,349292.825226%2.825226%2.8%4782.825226%2.825226%2.8%4782.602914%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%4,911391.756520%1.756520%1.8%2311.642065%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%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%971500.810373%0.810373%0.8%50.810373%0.810373%0.8%50.312695%0.312695%0.3%5
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#28

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 Whitewood, selected other county subdivisions in the Midwest, and entities that contain Whitewood
Female
Male
1x0x1x2xFM#ZIP 57793Meade 46-1WhitewoodWhitewoodTract 966100South DakotaCedar RapidsLincolnDetroitOmahaToledoThorntonKansas CityMadisonLawrenceFargoProvisoRockfordBlue TownshipWest North CentralWayneMidwestTopekaMilwaukeeKaw TownshipDaytonSioux FallsUnited StatesOlatheWorthNOverland ParkAuroraWheelingGrand RapidsSchaumburgChicagoWichitaColumbusClevelandPalatineCapitalSpearfishLawrenceWarrenSpringfieldYork TownshipSt. LouisWashingtonBloomingdaleCtrCincinnatiAkronAnn ArborSt. PaulLisleMinneapolisSterling HtsDowners GrvMiltonMaine-1.000000x-1.000000x2.533333x2.533333x2.53x3.081%3.08%7.805%7.80%-1.000000x-1.000000x2.315644x2.315644x2.32x4.538%4.54%10.508%10.5%-1.000000x-1.000000x1.639871x1.639871x1.64x7.843%7.84%12.862%12.9%-1.000000x-1.000000x1.639871x1.639871x1.64x7.843%7.84%12.862%12.9%-1.000000x-1.000000x1.334615x1.334615x1.33x4.467%4.47%5.962%5.96%-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-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%-1.000000x-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%-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#29

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 Whitewood, selected other county subdivisions in the Midwest, and entities that contain Whitewood
Female
Male
0x5x10xFM#ZIP 57793WhitewoodWhitewoodTract 966100RockfordNDaytonSioux FallsMeade 46-1CapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaSouth DakotaFargoWashingtonLincolnMidwestBloomingdaleWest North CentralKansas CityAuroraSpearfishLawrenceUnited StatesAnn ArborTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.610%0.61%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.608%1.61%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.608%1.61%-1.000000x-1.000000x2.266132x2.266132x2.27x2.613%2.61%5.921%5.92%-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-1.000000x1.959759x1.959759x1.96x1.194%1.19%2.340%2.34%-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-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%-1.000000x-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%-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 Whitewood to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with Whitewood. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#30

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of Whitewood, selected other county subdivisions in the United States, and entities that contain Whitewood
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 HempsteadHempsteadWhitewoodWhitewoodMidwestNorthwest HarrisNW HarrisWashingtonAtlantaWest North CentralSeattleSouth DakotaNortheast TarrantNE TarrantMeade School District 46-1Meade 46-1Spearfish Metro AreaSpearfishLawrence CountyLawrencePlanoZIP Code 57793ZIP 57793966100Tract 966100Seattle 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%54,23054.2k4310.372771%10.372771%10.4%6410.372771%10.372771%10.4%6410.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.174633%9.174633%9.2%1,278,0511.28M8.833573%8.833573%8.8%66,22066.2k478.813537%8.813537%8.8%49,05549.1k8.418271%8.418271%8.4%31,44331.4k487.467113%7.467113%7.5%9826.010994%6.010994%6.0%1,0176.010994%6.010994%6.0%1,0175.714681%5.714681%5.7%20,64420.6k495.503440%5.503440%5.5%885.226047%5.226047%5.2%2524.913852%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#31

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of Whitewood, selected other county subdivisions in the United States, and entities that contain Whitewood
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 CityAlbuquerqueTampaTucsonSpearfish Metro AreaSpearfishLawrence CountyLawrence966100Tract 966100Oceanside-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 VlyOntarioPhiladelphiaMiamiZIP Code 57793ZIP 57793Fort WorthSouthwest DallasSW DallasMilwaukeeMeade School District 46-1Meade 46-1FresnoLas VegasEl PasoBronxWhitewoodWhitewoodSan 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%184,237184k2631.603523%31.603523%31.6%5,34731.603523%31.603523%31.6%5,34731.314807%31.314807%31.3%1,51031.198303%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%178,455178k4024.765478%24.765478%24.8%39624.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4323.351836%23.351836%23.4%3,07122.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4717.017828%17.017828%17.0%10517.017828%17.017828%17.0%10516.375473%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#32

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of Whitewood, selected other county subdivisions in the United States, and entities that contain Whitewood
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverSan DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampa966100Tract 966100MiamiNortheast 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 CentralMidwestOrlandoFresnoSpearfish Metro AreaSpearfishLawrence CountyLawrenceAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantSouth DakotaEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeSan BernardinoSan Antonio CentralSan Antonio CntrlMeade School District 46-1Meade 46-1El PasoSouthwest DallasSW DallasBronxDetroitWhitewoodWhitewoodZIP Code 57793ZIP 5779312.461852%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%19,24719.2k194.292825%4.292825%4.3%2074.025531%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%11,83311.8k352.825226%2.825226%2.8%4782.825226%2.825226%2.8%4782.763004%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%7,845461.756520%1.756520%1.8%2311.745764%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%5,693500.810373%0.810373%0.8%50.810373%0.810373%0.8%50.312695%0.312695%0.3%5
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#33

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 Whitewood, selected other county subdivisions in the United States, and entities that contain Whitewood
Female
Male
1x0x1x2xFM#ZIP 57793Meade 46-1WhitewoodWhitewoodTract 9661001, CharlotteSouth DakotaDetroitBaltimoreTulsaSW DallasWest North CentralMidwestFresnoMilwaukeeUnited StatesNE DallasHoustonHempsteadOrlandoPhiladelphiaOntarioSan BernardinoAustinAtlantaFort WorthPhoenixChicagoAlbuquerqueWashingtonSacramentoColumbusSalt Lk CityDenverNE TarrantTampaOceanside-EscondidoOceanside-Escond…NW HarrisSpearfishLawrenceBronxPlanoBrooklynSan 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-1.000000x2.533333x2.533333x2.53x3.081%3.08%7.805%7.80%-1.000000x-1.000000x2.315644x2.315644x2.32x4.538%4.54%10.508%10.5%-1.000000x-1.000000x1.639871x1.639871x1.64x7.843%7.84%12.862%12.9%-1.000000x-1.000000x1.639871x1.639871x1.64x7.843%7.84%12.862%12.9%-1.000000x-1.000000x1.334615x1.334615x1.33x4.467%4.47%5.962%5.96%-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-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%-1.000000x-1.000000x1.038356x1.038356x1.04x5.900%5.90%6.126%6.13%-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#34

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 Whitewood, selected other county subdivisions in the United States, and entities that contain Whitewood
Female
Male
0x5x10xFM#ZIP 57793WhitewoodWhitewoodTract 966100El PasoSalt Lk CityMeade 46-1PlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixSouth DakotaTucson1, CharlotteMidwestNW HarrisLas VegasWest North CentralSeattle EastSan Antonio CntrlSpearfishLawrenceSan 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-1.000000x10.000000x10.000000x> 10.0x0.000%0%0.610%0.61%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.608%1.61%-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.608%1.61%-1.000000x-1.000000x2.266132x2.266132x2.27x2.613%2.61%5.921%5.92%-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-1.000000x1.959759x1.959759x1.96x1.194%1.19%2.340%2.34%-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-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%-1.000000x-1.000000x1.536343x1.536343x1.54x2.237%2.24%3.437%3.44%-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.

More Topics to Explore

Demographics

Income

Education

More Maps to Explore

State:
South Dakota
County:
Lawrence
Metro Area:
Spearfish Area
City:
Whitewood
ZIP Code:
57793
Unified School District:
Meade 46-1
Congressional District:
SD-At Large
State Senate District:
SD-31
State House District:
SD-31
Neighboring Unorganized Territories:
North Lawrence
Nearby Townships:
St. Onge
Nearby Unorganized Territories:
Southwest Meade