Zip Codes with the Lowest Wage/Income Gap ($) in South Dakota

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Lowest Wage/Income Gap ($)
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
South Dakota
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Comparison Subject

Map of Zip Codes with the Lowest Wage/Income Gap ($) in South Dakota

$0.3000
$0.0000
Zip Codes with the Lowest Wage/Income Gap ($) in South Dakota Map

Zip Codes with the Lowest Wage/Income Gap ($) in South Dakota

Zip Code Wage/Income Gap ($) vs State vs National
1.57642$0.0007$0.2708(-0.270)#1$0.2764(-0.276)#23
2.57255$0.0027$0.2708(-0.268)#2$0.2764(-0.274)#63
3.57476$0.0050$0.2708(-0.266)#3$0.2764(-0.271)#120
4.57658$0.0083$0.2708(-0.262)#4$0.2764(-0.268)#205
5.57040$0.0100$0.2708(-0.261)#5$0.2764(-0.266)#245
6.57636$0.0115$0.2708(-0.259)#6$0.2764(-0.265)#289
7.57551$0.0163$0.2708(-0.254)#7$0.2764(-0.260)#424
8.57555$0.0184$0.2708(-0.252)#8$0.2764(-0.258)#488
9.57448$0.0217$0.2708(-0.249)#9$0.2764(-0.255)#578
10.57661$0.0220$0.2708(-0.249)#10$0.2764(-0.254)#587
11.57440$0.0272$0.2708(-0.244)#11$0.2764(-0.249)#711
12.57623$0.0315$0.2708(-0.239)#12$0.2764(-0.245)#820
13.57340$0.0340$0.2708(-0.237)#13$0.2764(-0.242)#872
14.57569$0.0382$0.2708(-0.233)#14$0.2764(-0.238)#987
15.57793$0.0546$0.2708(-0.216)#15$0.2764(-0.222)#1,453
16.57788$0.0553$0.2708(-0.215)#16$0.2764(-0.221)#1,474
17.57580$0.0556$0.2708(-0.215)#17$0.2764(-0.221)#1,481
18.57213$0.0568$0.2708(-0.214)#18$0.2764(-0.220)#1,508
19.57660$0.0597$0.2708(-0.211)#19$0.2764(-0.217)#1,590
20.57732$0.0606$0.2708(-0.210)#20$0.2764(-0.216)#1,613
21.57752$0.0687$0.2708(-0.202)#21$0.2764(-0.208)#1,829
22.57701$0.0689$0.2708(-0.202)#22$0.2764(-0.208)#1,837
23.57268$0.0786$0.2708(-0.192)#23$0.2764(-0.198)#2,096
24.57262$0.0898$0.2708(-0.181)#24$0.2764(-0.187)#2,390
25.57214$0.0908$0.2708(-0.180)#25$0.2764(-0.186)#2,418
26.57046$0.0922$0.2708(-0.179)#26$0.2764(-0.184)#2,463
27.57380$0.0923$0.2708(-0.178)#27$0.2764(-0.184)#2,467
28.57649$0.0937$0.2708(-0.177)#28$0.2764(-0.183)#2,509
29.57625$0.0972$0.2708(-0.174)#29$0.2764(-0.179)#2,625
30.57042$0.1003$0.2708(-0.170)#30$0.2764(-0.176)#2,754
31.57767$0.1023$0.2708(-0.168)#31$0.2764(-0.174)#2,810
32.57469$0.1031$0.2708(-0.168)#32$0.2764(-0.173)#2,832
33.57770$0.1041$0.2708(-0.167)#33$0.2764(-0.172)#2,860
34.57054$0.1115$0.2708(-0.159)#34$0.2764(-0.165)#3,118
35.57365$0.1158$0.2708(-0.155)#35$0.2764(-0.161)#3,260
36.57061$0.1180$0.2708(-0.153)#36$0.2764(-0.158)#3,342
37.57438$0.1199$0.2708(-0.151)#37$0.2764(-0.157)#3,406
38.57566$0.1242$0.2708(-0.147)#38$0.2764(-0.152)#3,550
39.57017$0.1284$0.2708(-0.142)#39$0.2764(-0.148)#3,704
40.57103$0.1336$0.2708(-0.137)#40$0.2764(-0.143)#3,889
41.57238$0.1401$0.2708(-0.131)#41$0.2764(-0.136)#4,143
42.57532$0.1411$0.2708(-0.130)#42$0.2764(-0.135)#4,176
43.57258$0.1413$0.2708(-0.129)#43$0.2764(-0.135)#4,186
44.57012$0.1439$0.2708(-0.127)#44$0.2764(-0.133)#4,297
45.57052$0.1513$0.2708(-0.119)#45$0.2764(-0.125)#4,584
46.57249$0.1555$0.2708(-0.115)#46$0.2764(-0.121)#4,786
47.57064$0.1569$0.2708(-0.114)#47$0.2764(-0.120)#4,838
48.57465$0.1595$0.2708(-0.111)#48$0.2764(-0.117)#4,964
49.57273$0.1603$0.2708(-0.110)#49$0.2764(-0.116)#5,010
50.57533$0.1614$0.2708(-0.109)#50$0.2764(-0.115)#5,053
51.57791$0.1629$0.2708(-0.108)#51$0.2764(-0.114)#5,118
52.57522$0.1631$0.2708(-0.108)#52$0.2764(-0.113)#5,131
53.57353$0.1671$0.2708(-0.104)#53$0.2764(-0.109)#5,305
54.57104$0.1675$0.2708(-0.103)#54$0.2764(-0.109)#5,324
55.57331$0.1692$0.2708(-0.102)#55$0.2764(-0.107)#5,395
56.57345$0.1720$0.2708(-0.099)#56$0.2764(-0.104)#5,542
57.57547$0.1746$0.2708(-0.096)#57$0.2764(-0.102)#5,662
58.57430$0.1756$0.2708(-0.095)#58$0.2764(-0.101)#5,713
59.57006$0.1794$0.2708(-0.091)#59$0.2764(-0.097)#5,907
60.57520$0.1811$0.2708(-0.090)#60$0.2764(-0.095)#5,982
61.57279$0.1825$0.2708(-0.088)#61$0.2764(-0.094)#6,050
62.57067$0.1837$0.2708(-0.087)#62$0.2764(-0.093)#6,116
63.57536$0.1849$0.2708(-0.086)#63$0.2764(-0.092)#6,167
64.57799$0.1871$0.2708(-0.084)#64$0.2764(-0.089)#6,275
65.57272$0.1897$0.2708(-0.081)#65$0.2764(-0.087)#6,436
66.57445$0.1900$0.2708(-0.081)#66$0.2764(-0.086)#6,455
67.57601$0.1920$0.2708(-0.079)#67$0.2764(-0.084)#6,560
68.57703$0.1951$0.2708(-0.076)#68$0.2764(-0.081)#6,714
69.57523$0.1978$0.2708(-0.073)#69$0.2764(-0.079)#6,848
70.57317$0.1978$0.2708(-0.073)#70$0.2764(-0.079)#6,853
71.57325$0.2066$0.2708(-0.064)#71$0.2764(-0.070)#7,366
72.57245$0.2095$0.2708(-0.061)#72$0.2764(-0.067)#7,532
73.57787$0.2128$0.2708(-0.058)#73$0.2764(-0.064)#7,702
74.57315$0.2198$0.2708(-0.051)#74$0.2764(-0.057)#8,112
75.57217$0.2240$0.2708(-0.047)#75$0.2764(-0.052)#8,377
76.57068$0.2245$0.2708(-0.046)#76$0.2764(-0.052)#8,409
77.57043$0.2273$0.2708(-0.043)#77$0.2764(-0.049)#8,577
78.57070$0.2279$0.2708(-0.043)#78$0.2764(-0.049)#8,630
79.57456$0.2294$0.2708(-0.041)#79$0.2764(-0.047)#8,719
80.57264$0.2295$0.2708(-0.041)#80$0.2764(-0.047)#8,720
81.57041$0.2333$0.2708(-0.037)#81$0.2764(-0.043)#8,953
82.57014$0.2344$0.2708(-0.036)#82$0.2764(-0.042)#9,024
83.57002$0.2346$0.2708(-0.036)#83$0.2764(-0.042)#9,037
84.57066$0.2371$0.2708(-0.034)#84$0.2764(-0.039)#9,203
85.57356$0.2381$0.2708(-0.033)#85$0.2764(-0.038)#9,273
86.57016$0.2384$0.2708(-0.032)#86$0.2764(-0.038)#9,287
87.57501$0.2392$0.2708(-0.032)#87$0.2764(-0.037)#9,348
88.57370$0.2410$0.2708(-0.030)#88$0.2764(-0.035)#9,458
89.57110$0.2420$0.2708(-0.029)#89$0.2764(-0.034)#9,502
90.57335$0.2449$0.2708(-0.026)#90$0.2764(-0.032)#9,709
91.57003$0.2462$0.2708(-0.025)#91$0.2764(-0.030)#9,796
92.57105$0.2468$0.2708(-0.024)#92$0.2764(-0.030)#9,838
93.57323$0.2471$0.2708(-0.024)#93$0.2764(-0.029)#9,852
94.57548$0.2478$0.2708(-0.023)#94$0.2764(-0.029)#9,907
95.57058$0.2490$0.2708(-0.022)#95$0.2764(-0.027)#9,983
96.57069$0.2493$0.2708(-0.021)#96$0.2764(-0.027)#10,004
97.57035$0.2521$0.2708(-0.019)#97$0.2764(-0.024)#10,179
98.57330$0.2521$0.2708(-0.019)#98$0.2764(-0.024)#10,186
99.57197$0.2562$0.2708(-0.015)#99$0.2764(-0.020)#10,475
100.57367$0.2567$0.2708(-0.014)#100$0.2764(-0.020)#10,506

Common Questions

What are the Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in South Dakota?
Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in South Dakota are:
#1
$0.0007
#2
$0.0027
#3
$0.0050
#4
$0.0083
#5
$0.0100
#6
$0.0115
#7
$0.0163
#8
$0.0184
#9
$0.0217
#10
$0.0220
What zip code has the Lowest Wage/Income Gap ($) in South Dakota?
57642 has the Lowest Wage/Income Gap ($) in South Dakota with $0.0007.
What is the Wage / Income Gap in Dollar Terms in the State of South Dakota?
Wage / Income Gap in Dollar Terms in South Dakota is $0.2708.
What is the Wage / Income Gap in Dollar Terms in the United States?
Wage / Income Gap in Dollar Terms in the United States is $0.2764.