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

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Highest 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
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Comparison Subject

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

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

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

Zip Code Inequality / Gini Index vs State vs National
1.575740.910.45(+0.465)#10.48(+0.427)#2
2.573440.720.45(+0.270)#20.48(+0.232)#42
3.574340.700.45(+0.260)#30.48(+0.222)#54
4.577480.660.45(+0.210)#40.48(+0.172)#127
5.577800.640.45(+0.200)#50.48(+0.162)#157
6.572610.630.45(+0.183)#60.48(+0.145)#206
7.574370.610.45(+0.164)#70.48(+0.126)#307
8.573220.600.45(+0.156)#80.48(+0.118)#371
9.570750.600.45(+0.155)#90.48(+0.117)#376
10.574400.580.45(+0.140)#100.48(+0.102)#528
11.577940.570.45(+0.122)#110.48(+0.085)#760
12.572240.570.45(+0.122)#120.48(+0.084)#764
13.573820.560.45(+0.113)#130.48(+0.075)#969
14.573750.560.45(+0.111)#140.48(+0.074)#997
15.576260.550.45(+0.108)#150.48(+0.070)#1,074
16.572690.550.45(+0.107)#160.48(+0.070)#1,085
17.572580.550.45(+0.107)#170.48(+0.069)#1,097
18.577640.550.45(+0.105)#180.48(+0.067)#1,146
19.570510.540.45(+0.098)#190.48(+0.060)#1,334
20.575630.540.45(+0.096)#200.48(+0.058)#1,416
21.577560.540.45(+0.095)#210.48(+0.057)#1,431
22.575600.530.45(+0.089)#220.48(+0.051)#1,637
23.574750.530.45(+0.082)#230.48(+0.044)#1,897
24.575380.530.45(+0.080)#240.48(+0.042)#1,966
25.576450.520.45(+0.079)#250.48(+0.041)#2,019
26.572630.520.45(+0.077)#260.48(+0.040)#2,134
27.574710.510.45(+0.070)#270.48(+0.032)#2,514
28.575550.510.45(+0.070)#280.48(+0.032)#2,519
29.573190.510.45(+0.069)#290.48(+0.031)#2,562
30.570150.510.45(+0.068)#300.48(+0.030)#2,644
31.572320.510.45(+0.066)#310.48(+0.028)#2,706
32.575400.510.45(+0.066)#320.48(+0.028)#2,708
33.576220.510.45(+0.066)#330.48(+0.028)#2,724
34.575230.510.45(+0.064)#340.48(+0.026)#2,886
35.573530.510.45(+0.062)#350.48(+0.024)#2,978
36.576340.500.45(+0.059)#360.48(+0.021)#3,188
37.573120.500.45(+0.058)#370.48(+0.020)#3,329
38.575770.500.45(+0.057)#380.48(+0.019)#3,368
39.574570.500.45(+0.056)#390.48(+0.018)#3,449
40.570490.500.45(+0.054)#400.48(+0.016)#3,571
41.570690.500.45(+0.051)#410.48(+0.014)#3,758
42.572430.500.45(+0.050)#420.48(+0.012)#3,866
43.575210.490.45(+0.050)#430.48(+0.012)#3,875
44.575480.490.45(+0.050)#440.48(+0.012)#3,891
45.573390.490.45(+0.049)#450.48(+0.012)#3,916
46.575200.490.45(+0.046)#460.48(+0.009)#4,175
47.575430.490.45(+0.046)#470.48(+0.008)#4,221
48.572700.490.45(+0.045)#480.48(+0.007)#4,308
49.575510.490.45(+0.043)#490.48(+0.005)#4,484
50.577010.490.45(+0.042)#500.48(+0.004)#4,580
51.573730.490.45(+0.041)#510.48(+0.003)#4,703
52.577830.490.45(+0.040)#520.48(+0.003)#4,729
53.575670.480.45(+0.039)#530.48(+0.001)#4,883
54.576320.480.45(+0.039)#540.48(+0.001)#4,922
55.576420.480.45(+0.038)#550.48(+0.001)#4,942
56.572730.480.45(+0.038)#560.48(-0.000)#5,048
57.575660.480.45(+0.037)#570.48(-0.000)#5,069
58.573140.480.45(+0.037)#580.48(-0.001)#5,093
59.572520.480.45(+0.037)#590.48(-0.001)#5,105
60.577170.480.45(+0.034)#600.48(-0.004)#5,412
61.573370.480.45(+0.034)#610.48(-0.004)#5,444
62.576210.480.45(+0.034)#620.48(-0.004)#5,483
63.576580.480.45(+0.031)#630.48(-0.007)#5,780
64.571100.480.45(+0.031)#640.48(-0.007)#5,785
65.573300.480.45(+0.031)#650.48(-0.007)#5,793
66.577020.480.45(+0.030)#660.48(-0.008)#5,838
67.575520.470.45(+0.030)#670.48(-0.008)#5,890
68.573800.470.45(+0.029)#680.48(-0.009)#6,077
69.573560.470.45(+0.028)#690.48(-0.010)#6,120
70.572620.470.45(+0.028)#700.48(-0.010)#6,210
71.574770.470.45(+0.027)#710.48(-0.011)#6,257
72.570240.470.45(+0.025)#720.48(-0.013)#6,607
73.575700.470.45(+0.024)#730.48(-0.014)#6,776
74.574730.470.45(+0.022)#740.48(-0.016)#6,943
75.577900.470.45(+0.022)#750.48(-0.016)#6,953
76.571080.470.45(+0.022)#760.48(-0.016)#6,986
77.576250.470.45(+0.022)#770.48(-0.016)#6,990
78.573620.470.45(+0.022)#780.48(-0.016)#7,002
79.576380.470.45(+0.021)#790.48(-0.017)#7,114
80.570430.470.45(+0.020)#800.48(-0.018)#7,247
81.574350.460.45(+0.020)#810.48(-0.018)#7,294
82.573250.460.45(+0.019)#820.48(-0.019)#7,326
83.572250.460.45(+0.019)#830.48(-0.019)#7,443
84.575720.460.45(+0.017)#840.48(-0.021)#7,629
85.573130.460.45(+0.017)#850.48(-0.021)#7,677
86.570450.460.45(+0.015)#860.48(-0.023)#7,982
87.574270.460.45(+0.014)#870.48(-0.024)#8,073
88.577200.460.45(+0.013)#880.48(-0.025)#8,374
89.574200.460.45(+0.012)#890.48(-0.026)#8,451
90.576480.460.45(+0.012)#900.48(-0.026)#8,464
91.573760.460.45(+0.011)#910.48(-0.027)#8,615
92.577620.460.45(+0.011)#920.48(-0.027)#8,686
93.573810.460.45(+0.010)#930.48(-0.028)#8,760
94.574790.450.45(+0.010)#940.48(-0.028)#8,792
95.575410.450.45(+0.010)#950.48(-0.028)#8,807
96.573010.450.45(+0.010)#960.48(-0.028)#8,815
97.571050.450.45(+0.009)#970.48(-0.029)#8,862
98.574510.450.45(+0.009)#980.48(-0.029)#8,971
99.574480.450.45(+0.008)#990.48(-0.029)#9,035
100.570630.450.45(+0.008)#1000.48(-0.030)#9,095

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in South Dakota?
Top 10 Zip Codes with the Highest Inequality / Gini Index in South Dakota are:
#1
0.91
#2
0.72
#3
0.70
#4
0.66
#5
0.64
#6
0.63
#7
0.61
#8
0.60
#9
0.60
#10
0.58
What zip code has the Highest Inequality / Gini Index in South Dakota?
57574 has the Highest Inequality / Gini Index in South Dakota with 0.91.
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.