Zip Codes with the Lowest Inequality / Gini Index in South Dakota

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Lowest Inequality / Gini Index
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
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Inequality / Gini Index in South Dakota

0.40
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Zip Codes with the Lowest Inequality / Gini Index in South Dakota Map

Zip Codes with the Lowest Inequality / Gini Index in South Dakota

Zip Code Inequality / Gini Index vs State vs National
1.574390.020.45(-0.422)#10.48(-0.460)#38
2.574210.040.45(-0.404)#20.48(-0.441)#66
3.574260.050.45(-0.391)#30.48(-0.429)#103
4.577920.130.45(-0.314)#40.48(-0.352)#316
5.573460.150.45(-0.298)#50.48(-0.336)#377
6.575470.200.45(-0.246)#60.48(-0.284)#658
7.576590.200.45(-0.241)#70.48(-0.279)#698
8.572420.240.45(-0.203)#80.48(-0.241)#1,060
9.576570.240.45(-0.202)#90.48(-0.240)#1,071
10.572650.250.45(-0.191)#100.48(-0.229)#1,240
11.570350.250.45(-0.191)#110.48(-0.228)#1,243
12.574700.260.45(-0.189)#120.48(-0.227)#1,264
13.572720.260.45(-0.184)#130.48(-0.222)#1,328
14.576360.260.45(-0.183)#140.48(-0.221)#1,347
15.577580.260.45(-0.182)#150.48(-0.220)#1,354
16.577670.260.45(-0.180)#160.48(-0.218)#1,382
17.570760.270.45(-0.178)#170.48(-0.216)#1,411
18.573580.270.45(-0.178)#180.48(-0.216)#1,413
19.573710.270.45(-0.176)#190.48(-0.214)#1,442
20.572470.270.45(-0.172)#200.48(-0.210)#1,508
21.572170.280.45(-0.166)#210.48(-0.204)#1,646
22.575710.280.45(-0.163)#220.48(-0.201)#1,708
23.577060.290.45(-0.158)#230.48(-0.196)#1,834
24.577380.290.45(-0.153)#240.48(-0.191)#1,954
25.570770.290.45(-0.152)#250.48(-0.190)#1,979
26.577870.290.45(-0.152)#260.48(-0.190)#1,982
27.570400.290.45(-0.151)#270.48(-0.188)#2,015
28.573540.300.45(-0.148)#280.48(-0.186)#2,065
29.570030.300.45(-0.146)#290.48(-0.184)#2,125
30.575620.300.45(-0.143)#300.48(-0.181)#2,236
31.574560.300.45(-0.143)#310.48(-0.180)#2,244
32.577820.300.45(-0.142)#320.48(-0.180)#2,266
33.573480.300.45(-0.141)#330.48(-0.178)#2,315
34.572510.300.45(-0.140)#340.48(-0.178)#2,333
35.576610.300.45(-0.140)#350.48(-0.178)#2,334
36.574330.310.45(-0.138)#360.48(-0.176)#2,413
37.575530.310.45(-0.138)#370.48(-0.176)#2,431
38.575370.310.45(-0.138)#380.48(-0.175)#2,450
39.570460.310.45(-0.136)#390.48(-0.174)#2,513
40.570680.310.45(-0.134)#400.48(-0.172)#2,594
41.572130.310.45(-0.134)#410.48(-0.172)#2,609
42.570270.310.45(-0.133)#420.48(-0.170)#2,663
43.573290.310.45(-0.132)#430.48(-0.169)#2,706
44.573790.310.45(-0.132)#440.48(-0.169)#2,708
45.572550.310.45(-0.131)#450.48(-0.169)#2,727
46.573860.320.45(-0.128)#460.48(-0.166)#2,879
47.573110.320.45(-0.127)#470.48(-0.165)#2,912
48.574500.320.45(-0.127)#480.48(-0.164)#2,943
49.573400.320.45(-0.122)#490.48(-0.160)#3,159
50.573410.320.45(-0.121)#500.48(-0.159)#3,220
51.570710.330.45(-0.120)#510.48(-0.158)#3,284
52.575220.330.45(-0.118)#520.48(-0.156)#3,397
53.573450.330.45(-0.117)#530.48(-0.154)#3,471
54.572140.330.45(-0.116)#540.48(-0.154)#3,492
55.570610.330.45(-0.116)#550.48(-0.154)#3,501
56.574220.330.45(-0.116)#560.48(-0.154)#3,508
57.577750.330.45(-0.114)#570.48(-0.152)#3,626
58.570040.330.45(-0.114)#580.48(-0.152)#3,655
59.572640.330.45(-0.112)#590.48(-0.150)#3,737
60.573340.330.45(-0.112)#600.48(-0.150)#3,765
61.570410.330.45(-0.111)#610.48(-0.149)#3,835
62.575850.330.45(-0.111)#620.48(-0.149)#3,865
63.576440.330.45(-0.110)#630.48(-0.148)#3,913
64.577030.340.45(-0.109)#640.48(-0.147)#3,973
65.570170.340.45(-0.108)#650.48(-0.146)#4,023
66.570330.340.45(-0.106)#660.48(-0.144)#4,201
67.577790.340.45(-0.105)#670.48(-0.143)#4,240
68.572180.340.45(-0.105)#680.48(-0.143)#4,273
69.570640.340.45(-0.104)#690.48(-0.142)#4,341
70.572680.340.45(-0.104)#700.48(-0.142)#4,349
71.574320.340.45(-0.104)#710.48(-0.142)#4,364
72.575840.340.45(-0.103)#720.48(-0.141)#4,442
73.577660.340.45(-0.102)#730.48(-0.140)#4,491
74.570530.340.45(-0.102)#740.48(-0.140)#4,493
75.577220.340.45(-0.102)#750.48(-0.140)#4,546
76.573670.340.45(-0.101)#760.48(-0.139)#4,585
77.577240.340.45(-0.101)#770.48(-0.139)#4,607
78.574460.340.45(-0.100)#780.48(-0.138)#4,673
79.570320.350.45(-0.100)#790.48(-0.137)#4,711
80.572590.350.45(-0.098)#800.48(-0.135)#4,876
81.576200.350.45(-0.097)#810.48(-0.135)#4,950
82.574670.350.45(-0.096)#820.48(-0.134)#5,030
83.577590.350.45(-0.095)#830.48(-0.133)#5,141
84.572410.350.45(-0.094)#840.48(-0.132)#5,202
85.572760.350.45(-0.093)#850.48(-0.131)#5,305
86.577510.350.45(-0.093)#860.48(-0.131)#5,307
87.572480.350.45(-0.092)#870.48(-0.130)#5,431
88.575340.350.45(-0.091)#880.48(-0.129)#5,506
89.570730.350.45(-0.091)#890.48(-0.129)#5,526
90.570570.350.45(-0.090)#900.48(-0.128)#5,580
91.573420.360.45(-0.090)#910.48(-0.128)#5,610
92.577450.360.45(-0.089)#920.48(-0.127)#5,656
93.570120.360.45(-0.088)#930.48(-0.126)#5,811
94.572350.360.45(-0.088)#940.48(-0.126)#5,812
95.577180.360.45(-0.087)#950.48(-0.125)#5,873
96.574740.360.45(-0.087)#960.48(-0.125)#5,890
97.575280.360.45(-0.087)#970.48(-0.125)#5,932
98.573280.360.45(-0.087)#980.48(-0.125)#5,955
99.572390.360.45(-0.086)#990.48(-0.124)#6,052
100.572710.360.45(-0.086)#1000.48(-0.124)#6,057

Common Questions

What are the Top 10 Zip Codes with the Lowest Inequality / Gini Index in South Dakota?
Top 10 Zip Codes with the Lowest Inequality / Gini Index in South Dakota are:
#1
0.02
#2
0.04
#3
0.05
#4
0.13
#5
0.15
#6
0.20
#7
0.20
#8
0.24
#9
0.24
#10
0.25
What zip code has the Lowest Inequality / Gini Index in South Dakota?
57439 has the Lowest Inequality / Gini Index in South Dakota with 0.02.
What is the Inequality / Gini Index in the State of South Dakota?
Inequality / Gini Index in South Dakota is 0.45.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.