Household Income in Wessington, Hand County, South Dakota (City)

Relative Household Income Percentiles#1

Selected measures of household income in Wessington, as a percentage more or less than Hand County at large.
Scope: households in Hand County and Wessington
0%20%40%60%$ref.95th Percentile60th Percentile10.839787%10.839787%10.8%$209,250.000000$209.3k$188,786.000000$188.8k73.006584%73.006584%73.0%$118,250.000000$118.3k$68,350.000000$68.4k

Household Income Distribution#2

Normalized with respect to a standard interval of $5k. Gray areas represent percentile bands from the county subdivisions in Hand County.
Scope: households in Hand County, Wessington, and other county subdivisions in Hand County
Wessington
Hand County
Percentile:
0th - 100th
10th - 90th
20th - 80th
30th - 70th
40th - 60th
0%5%10%15%Count%> $200k1$150-200k2$125-150k2$100-125k2$75-100k2$60-75k2$50-60k2$45-50k$40-45k$35-40k$30-35k$25-30k$20-25k$15-20k$10-15k< $10k2116.667%16.7%00.000%0%00.000%0%233.333%33.3%00.000%0%116.667%16.7%00.000%0%00.000%0%00.000%0%00.000%0%116.667%16.7%00.000%0%00.000%0%00.000%0%00.000%0%116.667%16.7%

Household Income Distribution by Race#3

Ethno-racial composition of the given household income intervals.
Scope: households in Wessington
White1
Hispanic2
Mixed3
Black3
Other3
Asian3
> $200k$100-125k$60-75k$30-35k< $10k100.000000%100%0.000000%0.000000%0.000000%0.000000%0.000000%2100.000000%100%0.000000%0.000000%0.000000%0.000000%0.000000%4100.000000%100%0.000000%0.000000%0.000000%0.000000%0.000000%2100.000000%100%0.000000%0.000000%0.000000%0.000000%0.000000%2100.000000%100%0.000000%0.000000%0.000000%0.000000%0.000000%20%20%40%60%80%100%Count

Household Income by County Subdivision in South Dakota

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

Six-Figure Incomes by County Subdivision#4

Percentage of households with incomes above $100k.
Scope: households in Wessington, selected other county subdivisions in South Dakota, and entities that contain Wessington
< $25k
$25-50k
$50-100k
$100-200k
$200k+
50%0%50%Count#Springdale TownshipSpringdaleWessingtonSplit Rock TownshipSplit RockBig Sioux TownshipBig SiouxMount RushmoreMt RushmoreWest HughesSioux FallsHartfordBrandonTeaWest Yankton975600Tract 975600United States of AmericaUnited States975600-2B.G. 975600-2HarrisburgWest North CentralMidwestNorth LawrenceN LawrencePierreFort PierreWest CusterNorth Sioux CityN Sioux CityHand CountyHandSouthwest MeadeSW MeadeSouth DakotaDell RapidsSioux FallsBrookingsCantonRapid CitySpearfishZIP Code 57381ZIP 57381AberdeenCentral PenningtonCntrl PenningtonWest ButteChamberlainMitchellYanktonNorth DeweyMobridgeBelle FourcheMilbankWatertownVermillionMadisonBox ElderHuronSturgisEast ToddSissetonWinnerHot SpringsRedfieldWest Oglala LakotaW Oglala LakotaLeadWessingtonEast Oglala LakotaE Oglala LakotaBox ElderWest ToddEast Corson-23.177843%-15.597668%-1.749271%-40.524781%41%43.586006%15.889213%59.475219%59%4081-16.666667%-16.666667%-16.666667%-50.000000%50%33.333333%16.666667%50.000000%50%3-32.831858%-12.389381%-6.194690%-51.415929%51%37.345133%11.238938%48.584071%49%5492-28.734092%-16.878768%-9.578031%-55.190891%55%21.366376%23.442733%44.809109%45%6693-35.598018%-15.463553%-9.412597%-60.474168%60%32.094834%7.430998%39.525832%40%1,1174-43.675676%-12.432432%-5.189189%-61.297297%61%34.918919%3.783784%38.702703%39%3585-36.190476%-19.113300%-6.042693%-61.346470%61%27.443897%11.209633%38.653530%39%3,5316-33.025641%-29.230769%-5.743590%-68.000000%68%28.820513%3.179487%32.000000%32%3127-39.855282%-19.536903%-10.738061%-70.130246%70%26.164978%3.704776%29.869754%30%1,0328-45.055665%-17.812705%-9.626719%-72.495088%72%19.318926%8.185986%27.504912%28%4209-36.711552%-25.584692%-11.268604%-73.564848%74%19.702339%6.732814%26.435152%26%37310-30.494037%-28.109029%-16.354344%-74.957411%75%17.887564%7.155026%25.042589%25%147-29.966666%-23.121086%-22.339882%-75.427634%75%18.905615%5.666751%24.572366%25%28,925,66528.9M-32.812500%-27.812500%-15.312500%-75.937500%76%17.812500%6.250000%24.062500%24%77-52.360775%-17.191283%-7.687651%-77.239709%77%22.760291%0.000000%22.760291%23%37611-32.232702%-24.274685%-21.257181%-77.764568%78%18.024942%4.210490%22.235432%22%1,833,6341.83M-31.411728%-24.244948%-22.410939%-78.067616%78%17.679798%4.252586%21.932384%22%5,775,7825.78M-35.222052%-27.833078%-15.045942%-78.101072%78%18.032159%3.866769%21.898928%22%57212-32.711066%-25.933401%-19.475277%-78.119744%78%20.770266%1.109990%21.880256%22%1,30113-36.231884%-29.275362%-13.043478%-78.550725%79%11.594203%9.855072%21.449275%21%22214-37.071960%-25.161290%-17.667494%-79.900744%80%15.980149%4.119107%20.099256%20%40515-34.755556%-28.088889%-17.333333%-80.177778%80%16.977778%2.844444%19.822222%20%22316-33.242507%-26.907357%-21.117166%-81.267030%81%13.964578%4.768392%18.732970%19%275-40.275049%-23.008077%-18.030998%-81.314124%81%15.411482%3.274394%18.685876%19%85617-33.512724%-26.350679%-21.566488%-81.429891%81%15.101518%3.468591%18.570109%19%61,93861.9k-48.999259%-20.088955%-12.676056%-81.764270%82%17.716827%0.518903%18.235730%18%24618-33.053915%-28.561284%-20.944249%-82.559449%83%14.579400%2.861151%17.440551%17%10,07010.1k19-30.039151%-27.203702%-25.530905%-82.773757%83%14.794163%2.432080%17.226243%17%1,45220-29.479769%-39.306358%-14.285714%-83.071841%83%15.194055%1.734104%16.928159%17%20521-30.314717%-28.327939%-24.719372%-83.362027%83%13.211900%3.426073%16.637973%17%4,83222-27.072292%-27.496290%-29.149883%-83.718465%84%14.394742%1.886792%16.281535%16%76823-33.212996%-25.270758%-25.270758%-83.754513%84%14.079422%2.166065%16.245487%16%45-31.149630%-28.311666%-24.505056%-83.966352%84%13.246665%2.786983%16.033648%16%1,88724-45.900998%-26.472315%-11.778517%-84.151829%84%14.380747%1.467423%15.848171%16%81025-30.926724%-27.155172%-26.400862%-84.482759%84%8.836207%6.681034%15.517241%16%14426-37.151107%-26.275265%-21.751684%-85.178056%85%11.645813%3.176131%14.821944%15%15427-30.708661%-27.938174%-27.340332%-85.987168%86%12.365121%1.647711%14.012832%14%96128-27.640786%-26.657781%-31.972676%-86.271243%86%10.646451%3.082306%13.728757%14%82429-24.709609%-26.504752%-35.586061%-86.800422%87%11.404435%1.795143%13.199578%13%12530-30.352480%-29.699739%-26.762402%-86.814621%87%10.443864%2.741514%13.185379%13%20231-30.527638%-26.507538%-30.108878%-87.144054%87%8.165829%4.690117%12.855946%13%30732-36.182903%-29.622266%-21.935056%-87.740225%88%9.476474%2.783300%12.259775%12%18533-34.589800%-30.968219%-22.415796%-87.973815%88%9.175377%2.850808%12.026185%12%1,13934-20.505126%-25.756439%-41.860465%-88.122031%88%9.352338%2.525631%11.877969%12%47535-33.057540%-26.664159%-28.544566%-88.266266%88%10.530275%1.203460%11.733734%12%31236-35.549133%-34.104046%-18.641618%-88.294798%88%9.344894%2.360308%11.705202%12%24337-33.725348%-27.646101%-27.338520%-88.709969%89%10.059707%1.230324%11.290031%11%62438-29.166667%-29.166667%-31.054688%-89.388021%89%9.082031%1.529948%10.611979%11%32639-25.674218%-28.263215%-35.598706%-89.536138%90%7.443366%3.020496%10.463862%10%9740-28.236493%-34.250765%-28.440367%-90.927625%91%6.625892%2.446483%9.072375%9%8941-32.305433%-26.578561%-32.525698%-91.409692%91%6.387665%2.202643%8.590308%9%11742-30.035757%-29.678188%-31.704410%-91.418355%91%8.581645%0.000000%8.581645%9%14443-30.285235%-36.744966%-24.664430%-91.694631%92%7.802013%0.503356%8.305369%8%9944-20.433790%-26.027397%-45.947489%-92.408676%92%6.107306%1.484018%7.591324%8%13345-32.400280%-38.908328%-23.093072%-94.401679%94%4.058782%1.539538%5.598321%6%8046-35.114504%-24.427481%-35.114504%-94.656489%95%4.580153%0.763359%5.343511%5%7-17.779705%-27.927147%-49.522984%-95.229835%95%3.122290%1.647875%4.770165%5%5547-39.267016%-45.026178%-11.204188%-95.497382%95%4.502618%0.000000%4.502618%5%4348-21.561051%-25.193199%-48.840804%-95.595054%96%3.323029%1.081917%4.404946%4%5749-21.547800%-22.306525%-53.414264%-97.268589%97%1.972686%0.758725%2.731411%3%1850

Gini Index of Income Inequality by County Subdivision#5

Larger values mean more inequality (0% is perfect equality and 100% is perfect inequality).
Scope: households in Wessington, selected other county subdivisions in South Dakota, and entities that contain Wessington
0%10%20%30%40%50%#VermillionWest Oglala LakotaW Oglala LakotaBelle FourcheEast Oglala LakotaE Oglala LakotaYanktonZIP Code 57381ZIP 57381975600Tract 975600West ToddEast ToddUnited States of AmericaUnited StatesSissetonMobridgeEast CorsonHand CountyHandNorth DeweyMidwestBrookingsRapid CityBig Sioux TownshipBig SiouxFort PierreWest ButteWest North CentralSturgisWest YanktonSouth DakotaSioux FallsMadisonWinnerWatertownChamberlainAberdeenSpringdale TownshipSpringdaleSpearfishSioux FallsMilbankMitchellNorth LawrenceN LawrenceMount RushmoreMt RushmoreHot SpringsHuronCantonWest CusterTeaWessingtonPierreWessingtonSplit Rock TownshipSplit RockRedfieldNorth Sioux CityN Sioux CitySouthwest MeadeSW MeadeBox ElderWest HughesCentral PenningtonCntrl PenningtonHartfordBrandonLeadDell RapidsHarrisburgBox Elder54.220000%54.220000%54.2%151.960000%51.960000%52.0%251.850000%51.850000%51.8%351.640000%51.640000%51.6%449.730000%49.730000%49.7%549.460000%49.460000%49.5%49.450000%49.450000%49.5%49.060000%49.060000%49.1%648.460000%48.460000%48.5%748.040000%48.040000%48.0%47.550000%47.550000%47.6%847.290000%47.290000%47.3%947.210000%47.210000%47.2%1046.330000%46.330000%46.3%46.320000%46.320000%46.3%1146.230000%46.230000%46.2%46.170000%46.170000%46.2%1246.050000%46.050000%46.1%1345.630000%45.630000%45.6%1445.590000%45.590000%45.6%1545.560000%45.560000%45.6%1645.450000%45.450000%45.5%44.570000%44.570000%44.6%1744.500000%44.500000%44.5%1844.380000%44.380000%44.4%44.280000%44.280000%44.3%1943.990000%43.990000%44.0%2043.790000%43.790000%43.8%2143.760000%43.760000%43.8%2243.750000%43.750000%43.8%2343.390000%43.390000%43.4%2443.380000%43.380000%43.4%2543.180000%43.180000%43.2%2642.910000%42.910000%42.9%2742.800000%42.800000%42.8%2842.580000%42.580000%42.6%2941.970000%41.970000%42.0%3041.430000%41.430000%41.4%3141.060000%41.060000%41.1%3241.030000%41.030000%41.0%3340.960000%40.960000%41.0%3440.900000%40.900000%40.9%3540.460000%40.460000%40.5%3640.450000%40.450000%40.5%40.330000%40.330000%40.3%3740.310000%40.310000%40.3%40.120000%40.120000%40.1%3839.920000%39.920000%39.9%3939.250000%39.250000%39.3%4039.120000%39.120000%39.1%4138.680000%38.680000%38.7%4237.280000%37.280000%37.3%4337.250000%37.250000%37.3%4436.810000%36.810000%36.8%4535.270000%35.270000%35.3%4635.150000%35.150000%35.2%4731.270000%31.270000%31.3%4826.770000%26.770000%26.8%4925.250000%25.250000%25.3%50

Household Income by County Subdivision in the Midwest

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

Six-Figure Incomes by County Subdivision#6

Percentage of households with incomes above $100k.
Scope: households in Wessington, selected other county subdivisions in the Midwest, and entities that contain Wessington
< $25k
$25-50k
$50-100k
$100-200k
$200k+
50%0%50%Count#WessingtonLisle TownshipLisleMilton TownshipMiltonDowners Grove TownshipDowners GrvPalatine TownshipPalatineYork TownshipOlatheWheeling TownshipWheelingOverland ParkSchaumburg TownshipSchaumburgBloomingdale TownshipBloomingdaleMaine TownshipMaineAnn Arbor975600Tract 975600MinneapolisUnited States of AmericaUnited StatesMadisonWashington TownshipWashingtonSterling HeightsSterling Hts975600-2B.G. 975600-2ChicagoProviso TownshipProvisoWorth TownshipWorthWest North CentralMidwestLawrence TownshipLawrenceSt. PaulCedar RapidsOmahaCapital TownshipCapitalLincolnHand CountyHandSouth DakotaFargoWichitaKaw TownshipSioux FallsAurora TownshipAuroraColumbusZIP Code 57381ZIP 57381North TownshipNThornton TownshipThorntonSt. LouisCincinnatiTopekaRockford TownshipRockfordWarrenGrand RapidsMilwaukeeKansas CityBlue TownshipAkronToledoWayne TownshipWayneSpringfield TownshipSpringfieldCenter TownshipCtrDaytonClevelandDetroitWessington-16.666667%-16.666667%-16.666667%-50.000000%50%33.333333%16.666667%50.000000%50%3-27.378809%-15.983082%-12.146188%-55.508079%56%31.638651%12.853270%44.491921%44%20,51320.5k1-26.764142%-16.473795%-12.401543%-55.639480%56%28.806043%15.554478%44.360520%44%19,20519.2k2-27.868312%-16.367297%-13.458635%-57.694243%58%25.908957%16.396800%42.305757%42%24,37724.4k3-29.903123%-17.387302%-12.550337%-59.840762%60%29.258808%10.900430%40.159238%40%17,45217.5k4-30.987952%-17.353588%-13.265584%-61.607124%62%26.937664%11.455212%38.392876%38%18,32318.3k5-32.594689%-18.785372%-11.723988%-63.104049%63%31.221158%5.674793%36.895951%37%16,95017.0k6-31.290089%-17.592889%-14.567585%-63.450563%63%27.478577%9.070860%36.549437%37%21,71021.7k7-32.042341%-19.959812%-11.597914%-63.600068%64%26.458112%9.941820%36.399932%36%27,71627.7k8-37.529233%-17.853773%-10.827555%-66.210561%66%27.998195%5.791244%33.789439%34%16,47116.5k9-35.663617%-21.067803%-12.575511%-69.306931%69%25.993232%4.699837%30.693069%31%12,24512.2k10-32.378876%-21.230556%-16.252849%-69.862281%70%22.581988%7.555732%30.137719%30%15,20915.2k11-26.515408%-20.474941%-23.825347%-70.815696%71%21.361751%7.822553%29.184304%29%13,78913.8k12-30.494037%-28.109029%-16.354344%-74.957411%75%17.887564%7.155026%25.042589%25%147-27.559584%-21.506687%-25.916503%-74.982774%75%18.981408%6.035818%25.017226%25%42,48042.5k13-29.966666%-23.121086%-22.339882%-75.427634%75%18.905615%5.666751%24.572366%25%28,925,66528.9M-30.554216%-23.250054%-21.629848%-75.434119%75%19.994517%4.571364%24.565881%25%25,98826.0k14-28.116490%-24.945534%-22.472426%-75.534450%76%18.281931%6.183619%24.465550%24%14,37414.4k15-34.174137%-23.169996%-18.372392%-75.716525%76%21.182217%3.101258%24.283475%24%12,08212.1k16-32.812500%-27.812500%-15.312500%-75.937500%76%17.812500%6.250000%24.062500%24%77-26.657261%-21.727658%-27.870118%-76.255037%76%17.407889%6.337074%23.744963%24%247,560248k17-31.930780%-22.963753%-22.090222%-76.984755%77%19.068724%3.946522%23.015245%23%12,51512.5k18-32.407570%-24.522461%-20.695114%-77.625145%78%19.629226%2.745629%22.374855%22%12,72112.7k19-32.232702%-24.274685%-21.257181%-77.764568%78%18.024942%4.210490%22.235432%22%1,833,6341.83M-31.411728%-24.244948%-22.410939%-78.067616%78%17.679798%4.252586%21.932384%22%5,775,7825.78M-28.920408%-25.748980%-23.985714%-78.655102%79%17.540816%3.804082%21.344898%21%10,45910.5k20-29.571559%-23.841842%-25.367990%-78.781391%79%16.975065%4.243544%21.218609%21%23,88623.9k21-33.647665%-24.993979%-20.232692%-78.874335%79%17.783500%3.342164%21.125665%21%11,40311.4k22-29.786991%-25.327751%-23.848583%-78.963324%79%16.782209%4.254467%21.036676%21%36,77836.8k23-29.232575%-23.217732%-26.586283%-79.036590%79%16.452775%4.510635%20.963410%21%10,53610.5k24-31.380090%-25.755703%-23.037829%-80.173622%80%16.555406%3.270972%19.826378%20%21,65121.7k25-33.242507%-26.907357%-21.117166%-81.267030%81%13.964578%4.768392%18.732970%19%275-33.512724%-26.350679%-21.566488%-81.429891%81%15.101518%3.468591%18.570109%19%61,93861.9k-29.723098%-29.027924%-22.827823%-81.578845%82%14.579195%3.841960%18.421155%18%9,46026-29.550651%-26.494416%-26.068195%-82.113262%82%14.707593%3.179145%17.886738%18%27,06827.1k27-26.097472%-24.052283%-32.130281%-82.280036%82%13.011767%4.708197%17.719964%18%14,14014.1k28-33.053915%-28.561284%-20.944249%-82.559449%83%14.579400%2.861151%17.440551%17%10,07010.1k29-32.847632%-28.328631%-21.517062%-82.693325%83%15.629133%1.677542%17.306675%17%7,85130-31.089221%-26.149593%-26.390002%-83.628817%84%14.172392%2.198792%16.371183%16%54,54654.5k31-33.212996%-25.270758%-25.270758%-83.754513%84%14.079422%2.166065%16.245487%16%45-30.647696%-26.838725%-27.270864%-84.757285%85%13.063232%2.179483%15.242715%15%8,92432-28.723507%-24.739884%-32.358703%-85.822094%86%12.850032%1.327874%14.177906%14%8,83033-23.852379%-25.921379%-36.367724%-86.141483%86%11.078678%2.779840%13.858517%14%19,41819.4k34-23.143307%-23.971392%-39.190333%-86.305032%86%10.215525%3.479443%13.694968%14%18,44018.4k35-31.056066%-27.765344%-27.509294%-86.330703%86%11.681587%1.987710%13.669297%14%7,20736-28.798428%-27.300557%-30.358948%-86.457933%86%11.225492%2.316575%13.542067%14%9,51137-30.865195%-29.238140%-26.985439%-87.088774%87%11.937999%0.973227%12.911226%13%6,87238-29.706575%-27.426507%-30.170526%-87.303608%87%11.011660%1.684732%12.696392%13%9,27739-27.100666%-26.556434%-35.388935%-89.046034%89%9.523191%1.430775%10.953966%11%25,28025.3k40-27.791364%-30.623791%-30.946819%-89.361974%89%9.880644%0.757382%10.638026%11%5,82941-29.234585%-30.055773%-30.554956%-89.845315%90%9.127045%1.027640%10.154685%10%6,59142-25.999881%-28.096226%-36.376133%-90.472240%90%7.917284%1.610476%9.527760%10%8,04043-25.537986%-27.441727%-37.712641%-90.692354%91%8.265021%1.042625%9.307646%9%11,02511.0k44-27.028872%-31.316816%-32.686305%-91.031994%91%7.824815%1.143192%8.968006%9%4,59745-23.753592%-31.125828%-36.552959%-91.432380%91%7.005706%1.561914%8.567620%9%6,17146-19.993415%-27.804758%-44.309820%-92.107992%92%6.313277%1.578731%7.892008%8%4,79447-21.855412%-26.396434%-44.586642%-92.838487%93%6.404095%0.757417%7.161513%7%4,11348-19.414965%-25.873452%-47.624606%-92.913023%93%5.865910%1.221067%7.086977%7%11,84011.8k49-19.461058%-25.924470%-48.178687%-93.564216%94%5.626398%0.809386%6.435784%6%16,53916.5k50-35.114504%-24.427481%-35.114504%-94.656489%95%4.580153%0.763359%5.343511%5%7

Gini Index of Income Inequality by County Subdivision#7

Larger values mean more inequality (0% is perfect equality and 100% is perfect inequality).
Scope: households in Wessington, selected other county subdivisions in the Midwest, and entities that contain Wessington
0%10%20%30%40%50%#CincinnatiKaw TownshipChicagoCenter TownshipCtrSt. LouisClevelandWashington TownshipWashingtonDowners Grove TownshipDowners GrvDetroitMinneapolisAnn ArborZIP Code 57381ZIP 57381975600Tract 975600DaytonCapital TownshipCapitalUnited States of AmericaUnited StatesLawrence TownshipLawrenceYork TownshipMilton TownshipMiltonSt. PaulMilwaukeeFargoRockford TownshipRockfordSpringfield TownshipSpringfieldAkronOmahaThornton TownshipThorntonToledoMadisonWichitaHand CountyHandMidwestWest North CentralPalatine TownshipPalatineGrand RapidsMaine TownshipMaineTopekaProviso TownshipProvisoColumbusNorth TownshipNLincolnSouth DakotaLisle TownshipLisleBlue TownshipCedar RapidsOverland ParkWheeling TownshipWheelingWayne TownshipWayneKansas CitySioux FallsWarrenAurora TownshipAuroraWorth TownshipWorthSterling HeightsSterling HtsWessingtonWessingtonOlatheBloomingdale TownshipBloomingdaleSchaumburg TownshipSchaumburg54.930000%54.930000%54.9%153.770000%53.770000%53.8%252.680000%52.680000%52.7%352.380000%52.380000%52.4%451.860000%51.860000%51.9%551.540000%51.540000%51.5%651.270000%51.270000%51.3%751.100000%51.100000%51.1%850.790000%50.790000%50.8%950.580000%50.580000%50.6%1050.410000%50.410000%50.4%1149.460000%49.460000%49.5%49.450000%49.450000%49.5%48.550000%48.550000%48.6%1248.490000%48.490000%48.5%1348.040000%48.040000%48.0%47.990000%47.990000%48.0%1447.800000%47.800000%47.8%1547.760000%47.760000%47.8%1647.730000%47.730000%47.7%1747.430000%47.430000%47.4%1847.360000%47.360000%47.4%1947.310000%47.310000%47.3%2047.310000%47.310000%47.3%2147.270000%47.270000%47.3%2247.050000%47.050000%47.1%2346.830000%46.830000%46.8%2446.730000%46.730000%46.7%2546.660000%46.660000%46.7%2646.440000%46.440000%46.4%2746.330000%46.330000%46.3%46.230000%46.230000%46.2%45.450000%45.450000%45.5%45.400000%45.400000%45.4%2845.340000%45.340000%45.3%2945.070000%45.070000%45.1%3044.990000%44.990000%45.0%3144.970000%44.970000%45.0%3244.910000%44.910000%44.9%3344.810000%44.810000%44.8%3444.770000%44.770000%44.8%3544.380000%44.380000%44.4%44.150000%44.150000%44.2%3644.130000%44.130000%44.1%3743.950000%43.950000%44.0%3843.910000%43.910000%43.9%3943.600000%43.600000%43.6%4043.350000%43.350000%43.4%4143.090000%43.090000%43.1%4242.910000%42.910000%42.9%4342.440000%42.440000%42.4%4441.600000%41.600000%41.6%4541.500000%41.500000%41.5%4640.780000%40.780000%40.8%4740.450000%40.450000%40.5%40.310000%40.310000%40.3%39.830000%39.830000%39.8%4839.520000%39.520000%39.5%4937.810000%37.810000%37.8%50

Household Income by County Subdivision in the United States

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

Six-Figure Incomes by County Subdivision#8

Percentage of households with incomes above $100k.
Scope: households in Wessington, selected other county subdivisions in the United States, and entities that contain Wessington
< $25k
$25-50k
$50-100k
$100-200k
$200k+
50%0%50%Count#San JoseWessingtonSeattle EastTown of HempsteadHempsteadSan FranciscoPlanoManhattanWashingtonNorthwest HarrisNW HarrisNortheast TarrantNE TarrantSeattleSan DiegoOntarioAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…East San Gabriel ValleyE San Gabriel VlyBostonOceanside-EscondidoOceanside-Escond…San Fernando ValleySan Fernando VlySalt Lake CitySalt Lk CityAtlantaQueensAustinDenverLong Beach-LakewoodLong Bch-LakewoodTownship 1:Charlotte1, Charlotte975600Tract 975600United States of AmericaUnited StatesNortheast DallasNE DallasBrooklynHouston975600-2B.G. 975600-2Los AngelesChicagoSacramentoWest North CentralMidwestPhoenixFort WorthTulsaFresnoTampaAlbuquerqueSan BernardinoLas VegasHand CountyHandSouth DakotaSouthwest DallasSW DallasBaltimoreTucsonColumbusZIP Code 57381ZIP 57381MiamiPhiladelphiaOrlandoBronxEl PasoMilwaukeeSan Antonio CentralSan Antonio CntrlDetroitWessington-23.659652%-13.428396%-12.059120%-49.147168%49%30.853003%19.999829%50.852832%51%297,962298k1-16.666667%-16.666667%-16.666667%-50.000000%50%33.333333%16.666667%50.000000%50%3-26.049435%-13.971910%-10.694462%-50.715807%51%32.236914%17.047279%49.284193%49%112,675113k2-25.843152%-14.124661%-11.128533%-51.096346%51%33.985073%14.918581%48.903654%49%118,206118k3-22.321376%-13.286266%-19.050609%-54.658251%55%26.910260%18.431489%45.341749%45%161,778162k4-28.961101%-17.128033%-10.754881%-56.844015%57%30.671605%12.484380%43.155985%43%86,33786.3k5-22.265110%-14.597981%-22.602786%-59.465877%59%21.649090%18.885032%40.534123%41%305,378305k6-23.912116%-15.797010%-21.745749%-61.454875%61%24.327598%14.217526%38.545125%39%106,595107k7-31.772583%-18.464841%-12.195239%-62.432663%62%28.218000%9.349337%37.567337%38%94,14694.1k8-32.507365%-19.809076%-12.119362%-64.435803%64%25.755170%9.809027%35.564197%36%72,79672.8k9-28.787438%-19.202609%-17.522611%-65.512657%66%24.818434%9.668909%34.487343%34%151,765152k10-29.744599%-19.874898%-17.631873%-67.251371%67%24.287086%8.461543%32.748629%33%267,797268k11-32.830063%-19.139118%-15.732714%-67.701896%68%26.196649%6.101456%32.298104%32%62,29462.3k12-31.423278%-20.356203%-15.995169%-67.774650%68%24.240253%7.985097%32.225350%32%157,416157k13-31.823323%-20.933470%-16.042928%-68.799722%69%25.301592%5.898686%31.200278%31%82,47782.5k14-24.847295%-16.790193%-27.656137%-69.293625%69%21.869939%8.836436%30.706375%31%79,62979.6k15-30.745924%-20.966830%-18.283854%-69.996608%70%22.830398%7.172994%30.003392%30%66,34866.3k16-28.428093%-21.013294%-21.010217%-70.451604%70%21.547204%8.001192%29.548396%30%182,412182k17-34.698016%-22.178420%-16.326186%-73.202622%73%21.185357%5.612021%26.797378%27%87,34987.3k18-25.457160%-21.249313%-26.511743%-73.218217%73%16.957603%9.824180%26.781783%27%63,87063.9k19-30.942995%-21.423219%-21.102420%-73.468634%73%21.648420%4.882947%26.531366%27%206,760207k20-30.311631%-22.758625%-20.453570%-73.523826%74%19.203087%7.273087%26.476174%26%88,24888.2k21-28.959484%-22.726561%-21.961988%-73.648033%74%19.147763%7.204204%26.351967%26%74,06874.1k22-30.126224%-21.593150%-22.002632%-73.722006%74%20.786792%5.491203%26.277994%26%52,10952.1k23-29.618018%-24.522563%-20.634045%-74.774627%75%18.004393%7.220980%25.225373%25%78,20978.2k24-30.494037%-28.109029%-16.354344%-74.957411%75%17.887564%7.155026%25.042589%25%147-29.966666%-23.121086%-22.339882%-75.427634%75%18.905615%5.666751%24.572366%25%28,925,66528.9M-28.855288%-25.154443%-21.594839%-75.604570%76%17.260431%7.134999%24.395430%24%139,042139k25-26.465829%-21.009413%-28.429713%-75.904956%76%17.928788%6.166256%24.095044%24%226,205226k26-27.529917%-24.728729%-23.668859%-75.927504%76%16.938219%7.134277%24.072496%24%278,753279k27-32.812500%-27.812500%-15.312500%-75.937500%76%17.812500%6.250000%24.062500%24%77-25.097557%-22.616259%-28.226846%-75.940662%76%16.109635%7.949703%24.059338%24%225,225225k28-26.657261%-21.727658%-27.870118%-76.255037%76%17.407889%6.337074%23.744963%24%247,560248k29-30.230842%-23.369101%-23.559876%-77.159819%77%18.500682%4.339500%22.840181%23%93,14593.1k30-32.232702%-24.274685%-21.257181%-77.764568%78%18.024942%4.210490%22.235432%22%1,833,6341.83M-31.411728%-24.244948%-22.410939%-78.067616%78%17.679798%4.252586%21.932384%22%5,775,7825.78M-30.311980%-25.417927%-23.059561%-78.789467%79%16.592157%4.618376%21.210533%21%242,822243k31-31.547028%-24.166785%-23.631569%-79.345382%79%16.348914%4.305705%20.654618%21%61,16761.2k32-29.557163%-25.611253%-24.287456%-79.455871%79%15.921243%4.622886%20.544129%21%48,37348.4k33-27.927771%-23.816038%-28.217027%-79.960836%80%16.136214%3.902949%20.039164%20%44,82344.8k34-26.133922%-25.482732%-28.531466%-80.148120%80%14.208749%5.643131%19.851880%20%51,73451.7k35-29.097924%-24.502824%-26.828415%-80.429162%80%15.808607%3.762231%19.570838%20%49,20549.2k36-31.657962%-25.457489%-23.610812%-80.726263%81%16.642100%2.631637%19.273737%19%43,80443.8k37-32.405913%-26.870024%-21.874854%-81.150791%81%15.585153%3.264056%18.849209%19%125,076125k38-33.242507%-26.907357%-21.117166%-81.267030%81%13.964578%4.768392%18.732970%19%275-33.512724%-26.350679%-21.566488%-81.429891%81%15.101518%3.468591%18.570109%19%61,93861.9k-29.983887%-27.042648%-24.583245%-81.609780%82%14.869790%3.520430%18.390220%18%59,69359.7k39-26.930153%-23.650667%-31.050756%-81.631575%82%14.260610%4.107815%18.368425%18%44,52844.5k40-28.561087%-25.828445%-27.307388%-81.696920%82%14.754538%3.548542%18.303080%18%63,46363.5k41-31.089221%-26.149593%-26.390002%-83.628817%84%14.172392%2.198792%16.371183%16%54,54654.5k42-33.212996%-25.270758%-25.270758%-83.754513%84%14.079422%2.166065%16.245487%16%45-22.604630%-25.526125%-35.914785%-84.045540%84%11.219039%4.735421%15.954460%16%53,64453.6k43-25.195247%-24.961465%-34.143846%-84.300559%84%12.654610%3.044831%15.699441%16%91,46491.5k44-27.056358%-28.911889%-29.051733%-85.019981%85%11.473971%3.506049%14.980019%15%33,10033.1k45-24.133757%-24.457961%-38.525288%-87.117007%87%10.965481%1.917512%12.882993%13%63,22263.2k46-25.997898%-29.127033%-32.410800%-87.535732%88%10.596697%1.867571%12.464268%12%22,89222.9k47-27.100666%-26.556434%-35.388935%-89.046034%89%9.523191%1.430775%10.953966%11%25,28025.3k48-25.125686%-28.794434%-35.457462%-89.377582%89%8.267994%2.354424%10.622418%11%23,93923.9k49-19.461058%-25.924470%-48.178687%-93.564216%94%5.626398%0.809386%6.435784%6%16,53916.5k50-35.114504%-24.427481%-35.114504%-94.656489%95%4.580153%0.763359%5.343511%5%7

Gini Index of Income Inequality by County Subdivision#9

Larger values mean more inequality (0% is perfect equality and 100% is perfect inequality).
Scope: households in Wessington, selected other county subdivisions in the United States, and entities that contain Wessington
0%10%20%30%40%50%#ManhattanAtlantaLos AngelesMiamiBostonWashingtonChicagoTampaBrooklynNortheast DallasNE DallasSan FranciscoHoustonBaltimorePhiladelphiaDetroitBronxDenverTownship 1:Charlotte1, CharlotteOrlandoZIP Code 57381ZIP 57381975600Tract 975600AustinSan Antonio CentralSan Antonio CntrlSan Fernando ValleySan Fernando VlyTulsaFresnoUnited States of AmericaUnited StatesSeattleTucsonPhoenixAlbuquerqueMilwaukeeFort WorthEl PasoSan DiegoSacramentoSan JoseHand CountyHandSouthwest DallasSW DallasMidwestLong Beach-LakewoodLong Bch-LakewoodOceanside-EscondidoOceanside-Escond…Seattle EastWest North CentralNortheast TarrantNE TarrantQueensLas VegasColumbusAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…South DakotaPlanoSalt Lake CitySalt Lk CitySan BernardinoTown of HempsteadHempsteadNorthwest HarrisNW HarrisEast San Gabriel ValleyE San Gabriel VlyOntarioWessingtonWessington59.670000%59.670000%59.7%157.220000%57.220000%57.2%255.850000%55.850000%55.9%355.160000%55.160000%55.2%454.070000%54.070000%54.1%553.340000%53.340000%53.3%652.680000%52.680000%52.7%752.210000%52.210000%52.2%852.010000%52.010000%52.0%951.880000%51.880000%51.9%1051.880000%51.880000%51.9%1151.600000%51.600000%51.6%1251.560000%51.560000%51.6%1351.160000%51.160000%51.2%1450.790000%50.790000%50.8%1550.100000%50.100000%50.1%1650.080000%50.080000%50.1%1749.970000%49.970000%50.0%1849.870000%49.870000%49.9%1949.460000%49.460000%49.5%49.450000%49.450000%49.5%49.340000%49.340000%49.3%2049.180000%49.180000%49.2%2148.740000%48.740000%48.7%2248.730000%48.730000%48.7%2348.580000%48.580000%48.6%2448.040000%48.040000%48.0%47.920000%47.920000%47.9%2547.850000%47.850000%47.9%2647.800000%47.800000%47.8%2747.440000%47.440000%47.4%2847.430000%47.430000%47.4%2947.160000%47.160000%47.2%3047.070000%47.070000%47.1%3146.870000%46.870000%46.9%3246.730000%46.730000%46.7%3346.480000%46.480000%46.5%3446.330000%46.330000%46.3%46.290000%46.290000%46.3%3546.230000%46.230000%46.2%46.050000%46.050000%46.1%3646.000000%46.000000%46.0%3745.870000%45.870000%45.9%3845.450000%45.450000%45.5%45.350000%45.350000%45.4%3945.100000%45.100000%45.1%4044.930000%44.930000%44.9%4144.910000%44.910000%44.9%4244.690000%44.690000%44.7%4344.380000%44.380000%44.4%44.290000%44.290000%44.3%4443.980000%43.980000%44.0%4543.750000%43.750000%43.8%4642.960000%42.960000%43.0%4742.960000%42.960000%43.0%4842.640000%42.640000%42.6%4942.120000%42.120000%42.1%5040.450000%40.450000%40.5%40.310000%40.310000%40.3%

Definitions

  • Household Income: total income from all people in the household
  • Median: in terms of income, it is the income for which 50% of households have a lower income, and 50% have a higher income
  • Percentile: for example, the 80th percentile of household income is the income for which 80% of household have a lower income and 20% have a higher income
  • Quintile: a quintile is 20% of a population, grouped by percentile; for example, the 2nd quintile is all members of a population between the 20th and 40th percentiles
  • Gini Index: a statistical measure of how unevenly income is distributed in a population (ranging from 0% to 100%, the higher the number, the greater the inequality)

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