Occupations in the White Swan Township, Charles Mix County, South Dakota (Township)

Occupations#1

Percentage of the civilian employed population aged 16 and older.
Scope: population of Charles Mix County and the White Swan Township
White Swan Township
Charles Mix County
0%5%10%15%CountFacilitiesManagementAdministrativeEducation1Sales and RelatedConstruction2Food ServiceProductionFire FightingLaw EnforcementHealthcare SupportPersonal CareTransportationMaterial MovingBusiness3Social ServiceHealthcare4Health TechniciansFarming5LegalEntertainment6Computers & MathEngineering7ScienceRepair815.048544%6.258048%15.048544%15.0%3113.592233%16.997167%13.592233%13.6%2811.650485%9.580221%11.650485%11.7%247.766990%7.725985%7.766990%7.8%166.310680%9.451455%6.310680%6.3%135.339806%4.841617%5.339806%5.3%114.854369%5.459696%4.854369%4.9%104.854369%4.790111%4.854369%4.9%103.883495%0.618079%3.883495%3.9%83.883495%1.519444%3.883495%3.9%83.398058%3.914499%3.398058%3.4%73.398058%4.094772%3.398058%3.4%73.398058%3.940252%3.398058%3.4%72.912621%3.141901%2.912621%2.9%61.941748%1.854236%1.941748%1.9%41.456311%1.364924%1.456311%1.5%31.456311%4.326552%1.456311%1.5%31.456311%1.570950%1.456311%1.5%31.456311%2.240536%1.456311%1.5%30.970874%0.798352%0.970874%1.0%20.970874%0.515066%0.970874%1.0%20.000000%0.000000%0.0%0.128766%00.000000%0.000000%0.0%0.128766%00.000000%0.000000%0.0%0.360546%00.000000%0.000000%0.0%4.378058%0
Count number of people employed in given occupation
1Education, training, and library 2Construction and extraction 3Business and finance 4Health diagnosing and treating practitioners 5Farming, fishing, and forestry 6Arts, design, entertainment, sports, and media 7Engineering and architecture 8Installation, maintenance, and repair

Relative Occupations#2

Percentage more or less common in the White Swan Township than in Charles Mix County, among the civilian employed population aged 16 and older.
Scope: population of Charles Mix County and the White Swan Township
Less Common
More Common
0%200%400%%ref.Fire FightingLaw EnforcementFacilitiesEntertainment1LegalAdministrativeConstruction2Social ServiceBusiness3ProductionEducation4Health TechniciansMaterial MovingFood ServiceHealthcare SupportTransportationPersonal CareManagementSales and RelatedFarming5Healthcare6Computers & MathEngineering7ScienceRepair8528.317152%528.317152%528.3%3.883%3.88%0.618%0.62%155.586638%155.586638%155.6%3.883%3.88%1.519%1.52%140.467058%140.467058%140.5%15.049%15.0%6.258%6.26%88.495146%88.495146%88.5%0.971%0.97%0.515%0.52%21.609771%21.609771%21.6%0.971%0.97%0.798%0.80%21.609771%21.609771%21.6%11.650%11.7%9.580%9.58%10.289713%10.289713%10.3%5.340%5.34%4.842%4.84%6.695365%6.695365%6.7%1.456%1.46%1.365%1.36%4.719525%4.719525%4.7%1.942%1.94%1.854%1.85%1.341476%1.341476%1.3%4.854%4.85%4.790%4.79%0.530744%0.530744%0.5%7.767%7.77%7.726%7.73%-7.297469%-7.297469%7.3%1.456%1.46%1.571%1.57%-7.297469%-7.297469%7.3%2.913%2.91%3.142%3.14%-11.087195%-11.087195%11.1%4.854%4.85%5.460%5.46%-13.193025%-13.193025%13.2%3.398%3.40%3.914%3.91%-13.760391%-13.760391%13.8%3.398%3.40%3.940%3.94%-17.014716%-17.014716%17.0%3.398%3.40%4.095%4.09%-20.032362%-20.032362%20.0%13.592%13.6%16.997%17.0%-33.230602%-33.230602%33.2%6.311%6.31%9.451%9.45%-35.001674%-35.001674%35.0%1.456%1.46%2.241%2.24%-66.340153%-66.340153%66.3%1.456%1.46%4.327%4.33%-100.000000%-100.000000%100.0%0.000%0%0.129%0.13%-100.000000%-100.000000%100.0%0.000%0%0.129%0.13%-100.000000%-100.000000%100.0%0.000%0%0.361%0.36%-100.000000%-100.000000%100.0%0.000%0%4.378%4.38%
% percentage of occupation in the White Swan Township
ref. percentage of occupation in Charles Mix County
1Arts, design, entertainment, sports, and media 2Construction and extraction 3Business and finance 4Education, training, and library 5Farming, fishing, and forestry 6Health diagnosing and treating practitioners 7Engineering and architecture 8Installation, maintenance, and repair

Sex Ratio by Occupation#3

Sex ratio by occupation among the civilian employed population aged 16 and older.
Scope: population of Charles Mix County and the White Swan Township
Female Male
Charles Mix County
White Swan Township
3x2x1x0x1x2x3xFMFire FightingManagementPersonal CareAll OccupationsFacilitiesSales and RelatedEducation1-1.000000x-1.000000x-1.000000x3.000000x1.400000x3.000000x3.00x26-1.000000x-1.000000x-1.000000x1.800000x2.333333x1.800000x1.80x1018-1.000000x-3.184211x-1.000000x1.333333x1.000000x1.333333x1.33x34-1.168421x-1.000000x-1.168421x1.17x1.000000x1.061040x1.000000x11195-1.583333x-1.229358x-1.583333x1.58x1.000000x1.000000x1.000000x1912-1.600000x-1.430464x-1.600000x1.60x1.000000x1.000000x1.000000x85-2.200000x-2.896104x-2.200000x2.20x1.000000x1.000000x1.000000x115
F number of females employed in given occupation
M number of males employed in given occupation
1Education, training, and library

Part Timers by Occupation#4

Part time and seasonal workers as a percentage of total workforce within an occupation.
Scope: population of Charles Mix County and the White Swan Township
White Swan Township
Charles Mix County
0%50%100%PartFullEducation1Sales and RelatedFarming2Material MovingFacilitiesConstruction3All OccupationsAdministrativeFood ServiceFire FightingManagementBusiness4Social ServiceLegalEntertainment5Healthcare6Health TechniciansHealthcare SupportLaw EnforcementPersonal CareProductionTransportation100.000000%27.000000%100.000000%100.0%160100.000000%34.059946%100.000000%100.0%130100.000000%26.436782%100.000000%100.0%30100.000000%60.655738%100.000000%100.0%6077.419355%62.551440%77.419355%77.4%24745.454545%31.914894%45.454545%45.5%5641.262136%30.388875%41.262136%41.3%8512133.333333%44.623656%33.333333%33.3%81630.000000%65.566038%30.000000%30.0%3725.000000%37.500000%25.000000%25.0%2617.857143%12.424242%17.857143%17.9%5230.000000%0.000000%0.0%22.222222%040.000000%0.000000%0.0%20.754717%030.000000%0.000000%0.0%9.677419%020.000000%0.000000%0.000000%0.0%020.000000%0.000000%0.0%18.452381%030.000000%0.000000%0.0%3.278689%030.000000%0.000000%0.0%49.342105%070.000000%0.000000%0.0%6.779661%080.000000%0.000000%0.0%21.383648%070.000000%0.000000%0.0%25.268817%0100.000000%0.000000%0.0%20.915033%07
Part number of part time workers employed in given occupation
Full number of full time workers employed in given occupation
1Education, training, and library 2Farming, fishing, and forestry 3Construction and extraction 4Business and finance 5Arts, design, entertainment, sports, and media 6Health diagnosing and treating practitioners 7Engineering and architecture 8Installation, maintenance, and repair

Median Income by Occupation#5

For the full-time year-round civilian employed population aged 16 and older.
Scope: population of Charles Mix County and the White Swan Township
White Swan Township
Charles Mix County
$0k$10k$20k$30k$40k%CountProductionManagementAll OccupationsAdministrativeFood Service$41,875.000000$30,438.000000$41,875.000000$41.9k4.854%4.85%10$38,125.000000$47,188.000000$38,125.000000$38.1k13.592%13.6%28$27,917.000000$35,545.000000$27,917.000000$27.9k100.000%100%206$24,167.000000$25,982.000000$24,167.000000$24.2k11.650%11.7%24$15,417.000000$18,750.000000$15,417.000000$15.4k4.854%4.85%10
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
1Business and finance 2Engineering and architecture 3Education, training, and library 4Arts, design, entertainment, sports, and media 5Health diagnosing and treating practitioners 6Farming, fishing, and forestry 7Construction and extraction 8Installation, maintenance, and repair

Occupations by County Subdivision in South Dakota

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

Management Occupations by County Subdivision#6

Percentage of the civilian employed population aged 16 and older.
Scope: population of the White Swan Township, selected other county subdivisions in South Dakota, and entities that contain the White Swan Township
0%5%10%15%20%Count#West ButteEast CorsonWest HughesBig Sioux TownshipBig SiouxNorth Dewey940200Tract 940200Charles Mix CountyCharles MixSplit Rock TownshipSplit RockFort PierreEast ToddNorth LawrenceN LawrenceWest YanktonSioux FallsWhite Swan TownshipWhite SwanMount RushmoreMt RushmoreTeaBrandonSouth DakotaHartfordSturgisWest North CentralChamberlainUnited States of AmericaUnited StatesEast Oglala LakotaE Oglala LakotaSissetonMidwestMilbankNorth Sioux CityN Sioux CityPierreCentral PenningtonCntrl PenningtonWest ToddMitchellSouthwest MeadeSW MeadeHarrisburgWinnerMobridgeWest CusterSpearfishBrookingsDell RapidsAberdeenBelle FourcheLeadSioux FallsCantonSpringdale TownshipSpringdaleWest Oglala LakotaW Oglala LakotaRapid CityWatertownHuronYanktonMadisonRedfieldVermillionBox ElderHot SpringsBox Elder20.773381%20.773381%20.8%231120.613288%20.613288%20.6%121218.894009%18.894009%18.9%287318.624797%18.624797%18.6%344417.799642%17.799642%17.8%199517.568851%17.568851%17.6%18516.997167%16.997167%17.0%66014.459930%14.459930%14.5%249614.455152%14.455152%14.5%195714.311759%14.311759%14.3%157814.256410%14.256410%14.3%417914.063369%14.063369%14.1%2531013.726483%13.726483%13.7%1,8971113.592233%13.592233%13.6%2813.366466%13.366466%13.4%5111212.790255%12.790255%12.8%3361312.231469%12.231469%12.2%6321411.880339%11.880339%11.9%51,64351.6k10.703726%10.703726%10.7%1811510.629200%10.629200%10.6%3481610.444668%10.444668%10.4%1,097,0401.10M10.324039%10.324039%10.3%1371710.035605%10.035605%10.0%14,852,82814.9M9.956710%9.956710%10.0%115189.939499%9.939499%9.9%115199.823005%9.823005%9.8%3,193,2973.19M9.769792%9.769792%9.8%174209.649750%9.649750%9.6%135219.560656%9.560656%9.6%729229.560381%9.560381%9.6%722239.531635%9.531635%9.5%116249.519196%9.519196%9.5%786259.423140%9.423140%9.4%575269.420290%9.420290%9.4%260279.335963%9.335963%9.3%142289.285714%9.285714%9.3%169299.246010%9.246010%9.2%168309.116573%9.116573%9.1%549319.033566%9.033566%9.0%1,203328.842524%8.842524%8.8%178338.811922%8.811922%8.8%1,295348.414804%8.414804%8.4%241358.295232%8.295232%8.3%127368.151678%8.151678%8.2%6,432378.114158%8.114158%8.1%145388.071749%8.071749%8.1%108398.033932%8.033932%8.0%161407.837776%7.837776%7.8%2,752417.834023%7.834023%7.8%927427.562095%7.562095%7.6%478437.228751%7.228751%7.2%529447.070166%7.070166%7.1%264457.060629%7.060629%7.1%92466.697031%6.697031%6.7%397476.059557%6.059557%6.1%175485.953827%5.953827%6.0%98492.417962%2.417962%2.4%2850

Management Income by County Subdivision#31

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the White Swan Township, selected other county subdivisions in South Dakota, and entities that contain the White Swan Township
$0k$50k%Count#Big Sioux TownshipBig SiouxBelle FourcheSioux FallsSplit Rock TownshipSplit RockUnited States of AmericaUnited StatesMadisonSpringdale TownshipSpringdaleMidwestMount RushmoreMt RushmoreMilbankWest North CentralWest YanktonNorth Sioux CityN Sioux CityHuronHartfordTeaBrandonPierreSioux FallsBox ElderMitchellSturgisAberdeenFort PierreMobridgeVermillionRapid CitySouth DakotaWest HughesCantonRedfieldHarrisburgCentral PenningtonCntrl Pennington940200Tract 940200West ButteNorth DeweyBrookingsWest Oglala LakotaW Oglala LakotaNorth LawrenceN LawrenceHot SpringsCharles Mix CountyCharles MixSissetonSouthwest MeadeSW MeadeWatertownChamberlainYanktonWinnerDell RapidsSpearfishWest ToddWhite Swan TownshipWhite SwanWest CusterBox ElderEast CorsonEast Oglala LakotaE Oglala LakotaEast ToddLead$91,842.000000$91,842.000000$91.8k18.625%18.6%3441$87,222.000000$87,222.000000$87.2k8.415%8.41%2412$83,527.000000$83,527.000000$83.5k13.726%13.7%1,8973$76,042.000000$76,042.000000$76.0k14.460%14.5%2494$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,477.000000$71,477.000000$71.5k7.070%7.07%2645$70,521.000000$70,521.000000$70.5k8.072%8.07%1086$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$66,667.000000$66,667.000000$66.7k13.366%13.4%5117$66,641.000000$66,641.000000$66.6k9.770%9.77%1748$64,181.000000$64,181.000000$64.2k10.445%10.4%1,097,0401.10M$63,889.000000$63,889.000000$63.9k14.063%14.1%2539$62,813.000000$62,813.000000$62.8k9.650%9.65%13510$62,304.000000$62,304.000000$62.3k7.562%7.56%47811$61,118.000000$61,118.000000$61.1k10.704%10.7%18112$60,217.000000$60,217.000000$60.2k12.790%12.8%33613$58,792.000000$58,792.000000$58.8k12.231%12.2%63214$58,269.000000$58,269.000000$58.3k9.561%9.56%72915$57,952.000000$57,952.000000$58.0k8.152%8.15%6,43216$56,953.000000$56,953.000000$57.0k6.060%6.06%17517$56,477.000000$56,477.000000$56.5k9.519%9.52%78618$55,600.000000$55,600.000000$55.6k10.629%10.6%34819$55,543.000000$55,543.000000$55.5k8.812%8.81%1,29520$54,917.000000$54,917.000000$54.9k14.455%14.5%19521$53,450.000000$53,450.000000$53.5k9.286%9.29%16922$53,125.000000$53,125.000000$53.1k6.697%6.70%39723$53,077.000000$53,077.000000$53.1k7.838%7.84%2,75224$52,364.000000$52,364.000000$52.4k11.880%11.9%51,64351.6k$51,750.000000$51,750.000000$51.8k18.894%18.9%28725$51,339.000000$51,339.000000$51.3k8.114%8.11%14526$51,250.000000$51,250.000000$51.3k7.061%7.06%9227$51,172.000000$51,172.000000$51.2k9.420%9.42%26028$50,771.000000$50,771.000000$50.8k9.560%9.56%72229$50,556.000000$50,556.000000$50.6k17.569%17.6%185$50,294.000000$50,294.000000$50.3k20.773%20.8%23130$49,107.000000$49,107.000000$49.1k17.800%17.8%19931$48,844.000000$48,844.000000$48.8k9.034%9.03%1,20332$48,750.000000$48,750.000000$48.8k8.034%8.03%16133$47,250.000000$47,250.000000$47.3k14.256%14.3%41734$47,222.000000$47,222.000000$47.2k5.954%5.95%9835$47,188.000000$47,188.000000$47.2k16.997%17.0%660$46,500.000000$46,500.000000$46.5k9.939%9.94%11536$46,212.000000$46,212.000000$46.2k9.423%9.42%57537$45,144.000000$45,144.000000$45.1k7.834%7.83%92738$43,250.000000$43,250.000000$43.3k10.324%10.3%13739$42,301.000000$42,301.000000$42.3k7.229%7.23%52940$41,898.000000$41,898.000000$41.9k9.336%9.34%14241$41,875.000000$41,875.000000$41.9k8.843%8.84%17842$41,786.000000$41,786.000000$41.8k9.117%9.12%54943$40,705.000000$40,705.000000$40.7k9.532%9.53%11644$38,125.000000$38,125.000000$38.1k13.592%13.6%28$36,806.000000$36,806.000000$36.8k9.246%9.25%16845$35,417.000000$35,417.000000$35.4k2.418%2.42%2846$35,250.000000$35,250.000000$35.3k20.613%20.6%12147$33,750.000000$33,750.000000$33.8k9.957%9.96%11548$33,750.000000$33,750.000000$33.8k14.312%14.3%15749$21,654.000000$21,654.000000$21.7k8.295%8.30%12750
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Occupations by County Subdivision in the Midwest

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

Management Occupations by County Subdivision#35

Percentage of the civilian employed population aged 16 and older.
Scope: population of the White Swan Township, selected other county subdivisions in the Midwest, and entities that contain the White Swan Township
0%5%10%15%Count#940200Tract 940200Charles Mix CountyCharles MixOverland ParkPalatine TownshipPalatineYork TownshipLisle TownshipLisleMilton TownshipMiltonWhite Swan TownshipWhite SwanDowners Grove TownshipDowners GrvWheeling TownshipWheelingOlatheSouth DakotaWashington TownshipWashingtonSchaumburg TownshipSchaumburgMinneapolisBloomingdale TownshipBloomingdaleWest North CentralMaine TownshipMaineLawrence TownshipLawrenceAnn ArborMadisonUnited States of AmericaUnited StatesKaw TownshipMidwestChicagoCapital TownshipCapitalCedar RapidsOmahaLincolnColumbusFargoWichitaSt. PaulSt. LouisSterling HeightsSterling HtsCincinnatiSioux FallsProviso TownshipProvisoWorth TownshipWorthNorth TownshipNTopekaGrand RapidsSpringfield TownshipSpringfieldCenter TownshipCtrAkronRockford TownshipRockfordMilwaukeeDaytonToledoClevelandThornton TownshipThorntonWayne TownshipWayneBlue TownshipWarrenKansas CityAurora TownshipAuroraDetroit17.568851%17.568851%17.6%18516.997167%16.997167%17.0%66014.855423%14.855423%14.9%14,75514.8k114.280314%14.280314%14.3%8,688213.861418%13.861418%13.9%8,620313.857442%13.857442%13.9%8,801413.607101%13.607101%13.6%8,201513.592233%13.592233%13.6%2813.532672%13.532672%13.5%10,06110.1k612.498298%12.498298%12.5%10,09810.1k712.497347%12.497347%12.5%8,834811.880339%11.880339%11.9%51,64351.6k11.822686%11.822686%11.8%8,852911.215342%11.215342%11.2%8,0821011.090883%11.090883%11.1%25,34325.3k1110.703868%10.703868%10.7%6,4951210.444668%10.444668%10.4%1,097,0401.10M10.230974%10.230974%10.2%6,9411310.178765%10.178765%10.2%6,1951410.163555%10.163555%10.2%6,0651510.142086%10.142086%10.1%14,53314.5k1610.035605%10.035605%10.0%14,852,82814.9M9.830735%9.830735%9.8%8,828179.823005%9.823005%9.8%3,193,2973.19M9.686446%9.686446%9.7%125,034125k189.490124%9.490124%9.5%5,165199.453745%9.453745%9.5%6,573209.255914%9.255914%9.3%20,95421.0k218.952573%8.952573%9.0%13,25513.3k228.938711%8.938711%8.9%37,82837.8k238.848749%8.848749%8.8%6,006248.828501%8.828501%8.8%16,19216.2k258.615624%8.615624%8.6%12,87212.9k268.539382%8.539382%8.5%12,73712.7k278.523147%8.523147%8.5%5,422288.480632%8.480632%8.5%11,70211.7k298.151678%8.151678%8.2%6,432307.864640%7.864640%7.9%5,687317.841240%7.841240%7.8%5,512327.755132%7.755132%7.8%5,213337.657261%7.657261%7.7%4,521347.353898%7.353898%7.4%6,892357.129728%7.129728%7.1%5,663367.037418%7.037418%7.0%4,305376.884817%6.884817%6.9%6,110386.845992%6.845992%6.8%5,108396.680024%6.680024%6.7%17,83717.8k406.420093%6.420093%6.4%3,548416.340644%6.340644%6.3%7,664426.287799%6.287799%6.3%9,409436.213626%6.213626%6.2%4,260446.095911%6.095911%6.1%3,830456.010562%6.010562%6.0%4,211465.821231%5.821231%5.8%3,395475.284388%5.284388%5.3%3,524485.277745%5.277745%5.3%3,618494.999593%4.999593%5.0%11,05911.1k50

Management Income by County Subdivision#60

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the White Swan Township, selected other county subdivisions in the Midwest, and entities that contain the White Swan Township
$0k$50k$100k%Count#Downers Grove TownshipDowners GrvMilton TownshipMiltonLisle TownshipLislePalatine TownshipPalatineYork TownshipWheeling TownshipWheelingOverland ParkMaine TownshipMaineSchaumburg TownshipSchaumburgAnn ArborCapital TownshipCapitalOlatheBloomingdale TownshipBloomingdaleChicagoSterling HeightsSterling HtsUnited States of AmericaUnited StatesMinneapolisMadisonMidwestLawrence TownshipLawrenceWorth TownshipWorthProviso TownshipProvisoSt. PaulRockford TownshipRockfordNorth TownshipNWashington TownshipWashingtonOmahaCedar RapidsWest North CentralKaw TownshipWichitaThornton TownshipThorntonCincinnatiLincolnAurora TownshipAuroraSt. LouisFargoColumbusSioux FallsTopekaWarrenCenter TownshipCtrMilwaukeeClevelandGrand RapidsSouth Dakota940200Tract 940200AkronDetroitDaytonKansas CityToledoCharles Mix CountyCharles MixWayne TownshipWayneSpringfield TownshipSpringfieldBlue TownshipWhite Swan TownshipWhite Swan$107,431.000000$107,431.000000$107.4k13.533%13.5%10,06110.1k1$102,402.000000$102,402.000000$102.4k13.607%13.6%8,2012$102,147.000000$102,147.000000$102.1k13.857%13.9%8,8013$98,054.000000$98,054.000000$98.1k14.280%14.3%8,6884$94,241.000000$94,241.000000$94.2k13.861%13.9%8,6205$89,147.000000$89,147.000000$89.1k12.498%12.5%10,09810.1k6$85,786.000000$85,786.000000$85.8k14.855%14.9%14,75514.8k7$85,408.000000$85,408.000000$85.4k10.231%10.2%6,9418$83,268.000000$83,268.000000$83.3k11.215%11.2%8,0829$82,929.000000$82,929.000000$82.9k10.164%10.2%6,06510$80,069.000000$80,069.000000$80.1k9.490%9.49%5,16511$79,184.000000$79,184.000000$79.2k12.497%12.5%8,83412$76,518.000000$76,518.000000$76.5k10.704%10.7%6,49513$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k14$74,123.000000$74,123.000000$74.1k8.523%8.52%5,42215$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$68,933.000000$68,933.000000$68.9k11.091%11.1%25,34325.3k16$68,816.000000$68,816.000000$68.8k10.142%10.1%14,53314.5k17$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,214.000000$68,214.000000$68.2k10.179%10.2%6,19518$67,826.000000$67,826.000000$67.8k7.841%7.84%5,51219$67,525.000000$67,525.000000$67.5k7.865%7.86%5,68720$67,483.000000$67,483.000000$67.5k8.616%8.62%12,87212.9k21$67,330.000000$67,330.000000$67.3k6.846%6.85%5,10822$67,213.000000$67,213.000000$67.2k7.755%7.76%5,21323$66,973.000000$66,973.000000$67.0k11.823%11.8%8,85224$66,221.000000$66,221.000000$66.2k9.256%9.26%20,95421.0k25$65,182.000000$65,182.000000$65.2k9.454%9.45%6,57326$64,181.000000$64,181.000000$64.2k10.445%10.4%1,097,0401.10M$63,972.000000$63,972.000000$64.0k9.831%9.83%8,82827$63,127.000000$63,127.000000$63.1k8.829%8.83%16,19216.2k28$61,967.000000$61,967.000000$62.0k6.214%6.21%4,26029$61,453.000000$61,453.000000$61.5k8.481%8.48%11,70211.7k30$60,380.000000$60,380.000000$60.4k8.953%8.95%13,25513.3k31$60,369.000000$60,369.000000$60.4k5.278%5.28%3,61832$60,259.000000$60,259.000000$60.3k8.539%8.54%12,73712.7k33$60,124.000000$60,124.000000$60.1k8.849%8.85%6,00634$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k35$57,952.000000$57,952.000000$58.0k8.152%8.15%6,43236$56,544.000000$56,544.000000$56.5k7.657%7.66%4,52137$56,017.000000$56,017.000000$56.0k5.821%5.82%3,39538$56,000.000000$56,000.000000$56.0k7.037%7.04%4,30539$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k40$53,526.000000$53,526.000000$53.5k6.288%6.29%9,40941$52,944.000000$52,944.000000$52.9k7.354%7.35%6,89242$52,364.000000$52,364.000000$52.4k11.880%11.9%51,64351.6k$50,556.000000$50,556.000000$50.6k17.569%17.6%185$50,302.000000$50,302.000000$50.3k6.885%6.88%6,11043$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k44$49,874.000000$49,874.000000$49.9k6.420%6.42%3,54845$49,737.000000$49,737.000000$49.7k5.284%5.28%3,52446$48,263.000000$48,263.000000$48.3k6.341%6.34%7,66447$47,188.000000$47,188.000000$47.2k16.997%17.0%660$47,046.000000$47,046.000000$47.0k6.096%6.10%3,83048$46,956.000000$46,956.000000$47.0k7.130%7.13%5,66349$44,107.000000$44,107.000000$44.1k6.011%6.01%4,21150$38,125.000000$38,125.000000$38.1k13.592%13.6%28
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Occupations by County Subdivision in the United States

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

Management Occupations by County Subdivision#64

Percentage of the civilian employed population aged 16 and older.
Scope: population of the White Swan Township, selected other county subdivisions in the United States, and entities that contain the White Swan Township
0%5%10%15%Count#940200Tract 940200Charles Mix CountyCharles MixManhattanWashingtonSeattle EastPlanoSan FranciscoAtlantaWhite Swan TownshipWhite SwanNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSan JoseSeattleDenverAustinSouth DakotaTownship 1:Charlotte1, CharlotteSan DiegoBostonSalt Lake CitySalt Lk CityWest North CentralOceanside-EscondidoOceanside-Escond…United States of AmericaUnited StatesTampaNortheast DallasNE DallasMidwestSan Fernando ValleySan Fernando VlyTown of HempsteadHempsteadChicagoLos AngelesTulsaOntarioAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…PhoenixLong Beach-LakewoodLong Bch-LakewoodMiamiBrooklynAlbuquerqueColumbusSacramentoOrlandoEast San Gabriel ValleyE San Gabriel VlyHoustonFort WorthTucsonBaltimoreQueensFresnoSouthwest DallasSW DallasPhiladelphiaLas VegasEl PasoMilwaukeeSan Antonio CentralSan Antonio CntrlBronxSan BernardinoDetroit17.568851%17.568851%17.6%18516.997167%16.997167%17.0%66016.529703%16.529703%16.5%147,580148k116.121186%16.121186%16.1%56,13856.1k215.623293%15.623293%15.6%47,46747.5k315.500861%15.500861%15.5%44,83544.8k414.223023%14.223023%14.2%69,48869.5k513.662246%13.662246%13.7%38,89338.9k613.592233%13.592233%13.6%2813.543186%13.543186%13.5%40,10340.1k712.957054%12.957054%13.0%47,46747.5k812.910751%12.910751%12.9%113,179113k912.801437%12.801437%12.8%74,54274.5k1012.512177%12.512177%12.5%45,08245.1k1111.961508%11.961508%12.0%56,55756.6k1211.880339%11.880339%11.9%51,64351.6k11.663665%11.663665%11.7%48,44248.4k1310.848509%10.848509%10.8%121,208121k1410.835836%10.835836%10.8%38,39738.4k1510.525230%10.525230%10.5%52,53752.5k1610.444668%10.444668%10.4%1,097,0401.10M10.133175%10.133175%10.1%30,64130.6k1710.035605%10.035605%10.0%14,852,82814.9M10.028996%10.028996%10.0%32,16632.2k1810.007978%10.007978%10.0%77,27077.3k199.823005%9.823005%9.8%3,193,2973.19M9.795739%9.795739%9.8%88,35688.4k209.718042%9.718042%9.7%37,03437.0k219.686446%9.686446%9.7%125,034125k229.638628%9.638628%9.6%120,847121k239.593634%9.593634%9.6%27,52527.5k249.541810%9.541810%9.5%28,47428.5k259.322089%9.322089%9.3%75,84275.8k269.253836%9.253836%9.3%135,932136k279.157509%9.157509%9.2%25,00025.0k289.095453%9.095453%9.1%40,03440.0k299.054172%9.054172%9.1%107,970108k308.957758%8.957758%9.0%26,64126.6k318.938711%8.938711%8.9%37,82837.8k328.891262%8.891262%8.9%43,38143.4k338.790113%8.790113%8.8%25,48525.5k348.784352%8.784352%8.8%38,22338.2k358.760640%8.760640%8.8%139,658140k368.691664%8.691664%8.7%33,63533.6k378.648273%8.648273%8.6%33,07833.1k388.534917%8.534917%8.5%23,46323.5k397.882772%7.882772%7.9%88,33388.3k407.734261%7.734261%7.7%21,61221.6k417.610727%7.610727%7.6%34,04434.0k427.552407%7.552407%7.6%49,46249.5k437.324046%7.324046%7.3%63,32763.3k447.318891%7.318891%7.3%16,39616.4k456.680024%6.680024%6.7%17,83717.8k466.157572%6.157572%6.2%17,49217.5k475.787761%5.787761%5.8%33,33633.3k485.217072%5.217072%5.2%17,47517.5k494.999593%4.999593%5.0%11,05911.1k50

Management Income by County Subdivision#89

Median income for the full-time year-round civilian employed population aged 16 and older.
Scope: population of the White Swan Township, selected other county subdivisions in the United States, and entities that contain the White Swan Township
$0k$50k$100k%Count#San JoseManhattanSeattle EastSan FranciscoTown of HempsteadHempsteadPlanoWashingtonNortheast TarrantNE TarrantNorthwest HarrisNW HarrisSeattleAtlantaOceanside-EscondidoOceanside-Escond…BostonTownship 1:Charlotte1, CharlotteOntarioSan DiegoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…ChicagoBrooklynHoustonSan Fernando ValleySan Fernando VlyLos AngelesNortheast DallasNE DallasLong Beach-LakewoodLong Bch-LakewoodUnited States of AmericaUnited StatesDenverSacramentoFresnoSalt Lake CitySalt Lk CityMidwestAustinQueensFort WorthBaltimoreSouthwest DallasSW DallasPhoenixTulsaTampaEast San Gabriel ValleyE San Gabriel VlyWest North CentralTucsonAlbuquerqueMiamiLas VegasPhiladelphiaSan BernardinoColumbusOrlandoBronxMilwaukeeSouth DakotaEl Paso940200Tract 940200DetroitCharles Mix CountyCharles MixSan Antonio CentralSan Antonio CntrlWhite Swan TownshipWhite Swan$121,475.000000$121,475.000000$121.5k12.911%12.9%113,179113k1$110,093.000000$110,093.000000$110.1k16.530%16.5%147,580148k2$107,201.000000$107,201.000000$107.2k15.623%15.6%47,46747.5k3$103,121.000000$103,121.000000$103.1k14.223%14.2%69,48869.5k4$95,504.000000$95,504.000000$95.5k9.718%9.72%37,03437.0k5$93,520.000000$93,520.000000$93.5k15.501%15.5%44,83544.8k6$91,833.000000$91,833.000000$91.8k16.121%16.1%56,13856.1k7$88,013.000000$88,013.000000$88.0k13.543%13.5%40,10340.1k8$86,256.000000$86,256.000000$86.3k12.957%13.0%47,46747.5k9$84,827.000000$84,827.000000$84.8k12.801%12.8%74,54274.5k10$83,822.000000$83,822.000000$83.8k13.662%13.7%38,89338.9k11$83,730.000000$83,730.000000$83.7k10.133%10.1%30,64130.6k12$81,070.000000$81,070.000000$81.1k10.836%10.8%38,39738.4k13$78,952.000000$78,952.000000$79.0k11.664%11.7%48,44248.4k14$77,318.000000$77,318.000000$77.3k9.542%9.54%28,47428.5k15$77,183.000000$77,183.000000$77.2k10.849%10.8%121,208121k16$76,982.000000$76,982.000000$77.0k9.322%9.32%75,84275.8k17$76,205.000000$76,205.000000$76.2k9.686%9.69%125,034125k18$75,289.000000$75,289.000000$75.3k9.054%9.05%107,970108k19$75,216.000000$75,216.000000$75.2k8.761%8.76%139,658140k20$74,051.000000$74,051.000000$74.1k9.796%9.80%88,35688.4k21$73,486.000000$73,486.000000$73.5k9.639%9.64%120,847121k22$73,381.000000$73,381.000000$73.4k10.008%10.0%77,27077.3k23$73,132.000000$73,132.000000$73.1k9.158%9.16%25,00025.0k24$72,586.000000$72,586.000000$72.6k10.036%10.0%14,852,82814.9M$71,368.000000$71,368.000000$71.4k12.512%12.5%45,08245.1k25$70,450.000000$70,450.000000$70.5k8.891%8.89%43,38143.4k26$69,746.000000$69,746.000000$69.7k7.734%7.73%21,61221.6k27$69,155.000000$69,155.000000$69.2k10.525%10.5%52,53752.5k28$68,390.000000$68,390.000000$68.4k9.823%9.82%3,193,2973.19M$68,333.000000$68,333.000000$68.3k11.962%12.0%56,55756.6k29$68,144.000000$68,144.000000$68.1k7.883%7.88%88,33388.3k30$67,702.000000$67,702.000000$67.7k8.692%8.69%33,63533.6k31$67,413.000000$67,413.000000$67.4k8.535%8.53%23,46323.5k32$66,772.000000$66,772.000000$66.8k7.611%7.61%34,04434.0k33$66,764.000000$66,764.000000$66.8k9.254%9.25%135,932136k34$66,751.000000$66,751.000000$66.8k9.594%9.59%27,52527.5k35$65,992.000000$65,992.000000$66.0k10.029%10.0%32,16632.2k36$64,331.000000$64,331.000000$64.3k8.784%8.78%38,22338.2k37$64,181.000000$64,181.000000$64.2k10.445%10.4%1,097,0401.10M$63,298.000000$63,298.000000$63.3k8.648%8.65%33,07833.1k38$62,324.000000$62,324.000000$62.3k8.958%8.96%26,64126.6k39$62,119.000000$62,119.000000$62.1k9.095%9.10%40,03440.0k40$61,788.000000$61,788.000000$61.8k7.324%7.32%63,32763.3k41$60,825.000000$60,825.000000$60.8k7.552%7.55%49,46249.5k42$60,105.000000$60,105.000000$60.1k5.217%5.22%17,47517.5k43$59,412.000000$59,412.000000$59.4k8.939%8.94%37,82837.8k44$58,762.000000$58,762.000000$58.8k8.790%8.79%25,48525.5k45$57,795.000000$57,795.000000$57.8k5.788%5.79%33,33633.3k46$55,511.000000$55,511.000000$55.5k6.680%6.68%17,83717.8k47$52,364.000000$52,364.000000$52.4k11.880%11.9%51,64351.6k$51,466.000000$51,466.000000$51.5k7.319%7.32%16,39616.4k48$50,556.000000$50,556.000000$50.6k17.569%17.6%185$50,261.000000$50,261.000000$50.3k5.000%5.00%11,05911.1k49$47,188.000000$47,188.000000$47.2k16.997%17.0%660$46,393.000000$46,393.000000$46.4k6.158%6.16%17,49217.5k50$38,125.000000$38,125.000000$38.1k13.592%13.6%28
% percent of the workforce employed in given occupation
Count number of people employed in given occupation
# rank of county subdivision out of 50 by income in given occupation

Definitions

An occupation describes the kind of work a person does on the job. On this page, all employed persons are categorized into one of the following occupations (bolded terms are used in the charts and maps on this page):

  • Management, business, science, and arts occupations:
    • Management, business, and financial occupations:
      • Management: Management occupations
      • Business: Business and financial operations occupations
    • Computer, engineering, and science occupations:
      • Computers & Math: Computer and mathematical occupations
      • Engineering: Architecture and engineering occupations
      • Science: Life, physical, and social science occupations
    • Education, legal, community service, arts, and media occupations:
      • Social Service: Community and social service occupations
      • Legal: Legal occupations
      • Education: Education, training, and library occupations
      • Entertainment: Arts, design, entertainment, sports, and media occupations
    • Healthcare practitioners and technical occupations:
      • Healthcare: Health diagnosing and treating practitioners and other technical occupations
      • Health Technicians: Health technologists and technicians
  • Service occupations:
    • Healthcare Support: Healthcare support occupations
    • Protective service occupations:
      • Fire Fighting: Fire fighting and prevention, and other protective service workers including supervisors
      • Law Enforcement: Law enforcement workers including supervisors
    • Food Service: Food preparation and serving related occupations
    • Facilities: Building and grounds cleaning and maintenance occupations
    • Personal Care: Personal care and service occupations
  • Sales and office occupations:
    • Sales and Related: Sales and related occupations
    • Administrative: Office and administrative support occupations
  • Natural resources, construction, and maintenance occupations:
    • Farming: Farming, fishing, and forestry occupations
    • Construction: Construction and extraction occupations
    • Repair: Installation, maintenance, and repair occupations
  • Production, transportation, and material moving occupations:
    • Production: Production occupations
    • Transportation: Transportation occupations
    • Material Moving: Material moving occupations

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

More Topics to Explore

Demographics

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More Maps to Explore

State:
South Dakota
County:
Charles Mix
ZIP Codes:
57356, 57367, 57380
Unified School Districts:
Andes 11-1, Platte-Geddes 11-5, Wagner 11-4
Congressional District:
SD-At Large
State Senate District:
SD-21
State House District:
SD-21
Neighboring Cities:
Lake Andes
Neighboring Towns:
Pickstown
Neighboring Townships:
Goose Lake, Highland, Howard, Jackson, Mullen, Plain Center, Wahehe
Neighboring Unorganized Territories:
Southeast Gregory
Nearby Townships:
Bryan, Kennedy, Lawrence, Moore, Morton, Spencer, Star Valley