Zip Codes with the Highest Inequality / Gini Index in North 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
North Dakota
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Comparison Subject

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

0.00
1.00
Zip Codes with the Highest Inequality / Gini Index in North Dakota Map

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

Zip Code Inequality / Gini Index vs State vs National
1.584051.000.45(+0.548)#10.48(+0.517)#1
2.587480.730.45(+0.280)#20.48(+0.249)#30
3.584760.690.45(+0.237)#30.48(+0.206)#68
4.587120.650.45(+0.195)#40.48(+0.164)#144
5.584260.600.45(+0.148)#50.48(+0.117)#375
6.584180.600.45(+0.146)#60.48(+0.115)#390
7.583350.600.45(+0.145)#70.48(+0.114)#399
8.580300.590.45(+0.143)#80.48(+0.112)#421
9.582620.590.45(+0.142)#90.48(+0.111)#426
10.588300.580.45(+0.123)#100.48(+0.093)#633
11.586420.570.45(+0.122)#110.48(+0.092)#650
12.583700.570.45(+0.120)#120.48(+0.090)#680
13.583800.570.45(+0.120)#130.48(+0.089)#688
14.584230.570.45(+0.118)#140.48(+0.087)#714
15.582390.560.45(+0.107)#150.48(+0.076)#933
16.585290.560.45(+0.105)#160.48(+0.074)#981
17.588470.560.45(+0.104)#170.48(+0.073)#1,010
18.587560.550.45(+0.101)#180.48(+0.070)#1,075
19.584750.550.45(+0.100)#190.48(+0.069)#1,101
20.584600.540.45(+0.092)#200.48(+0.061)#1,302
21.586360.540.45(+0.092)#210.48(+0.061)#1,307
22.586410.540.45(+0.087)#220.48(+0.056)#1,466
23.585280.540.45(+0.086)#230.48(+0.055)#1,517
24.583300.520.45(+0.071)#240.48(+0.040)#2,085
25.582100.520.45(+0.071)#250.48(+0.040)#2,086
26.587700.520.45(+0.070)#260.48(+0.039)#2,138
27.582490.520.45(+0.070)#270.48(+0.039)#2,161
28.584790.520.45(+0.069)#280.48(+0.039)#2,172
29.583770.520.45(+0.069)#290.48(+0.038)#2,180
30.584640.520.45(+0.068)#300.48(+0.038)#2,223
31.580650.520.45(+0.066)#310.48(+0.035)#2,329
32.588440.520.45(+0.065)#320.48(+0.034)#2,408
33.580130.520.45(+0.064)#330.48(+0.033)#2,428
34.583790.510.45(+0.062)#340.48(+0.032)#2,540
35.588490.510.45(+0.062)#350.48(+0.031)#2,559
36.582410.510.45(+0.062)#360.48(+0.031)#2,563
37.583230.510.45(+0.061)#370.48(+0.031)#2,582
38.580810.510.45(+0.061)#380.48(+0.030)#2,585
39.586250.510.45(+0.061)#390.48(+0.030)#2,587
40.586470.510.45(+0.060)#400.48(+0.029)#2,674
41.585380.510.45(+0.057)#410.48(+0.026)#2,844
42.581020.510.45(+0.053)#420.48(+0.022)#3,101
43.584250.500.45(+0.053)#430.48(+0.022)#3,151
44.587360.500.45(+0.052)#440.48(+0.021)#3,216
45.580490.500.45(+0.051)#450.48(+0.020)#3,301
46.583570.500.45(+0.051)#460.48(+0.020)#3,314
47.584010.500.45(+0.050)#470.48(+0.019)#3,385
48.586460.500.45(+0.049)#480.48(+0.019)#3,394
49.584430.500.45(+0.049)#490.48(+0.018)#3,448
50.583170.500.45(+0.046)#500.48(+0.015)#3,641
51.585330.500.45(+0.046)#510.48(+0.015)#3,649
52.582180.500.45(+0.045)#520.48(+0.014)#3,733
53.582690.500.45(+0.043)#530.48(+0.012)#3,846
54.586520.490.45(+0.041)#540.48(+0.010)#4,053
55.585680.490.45(+0.041)#550.48(+0.010)#4,064
56.587890.490.45(+0.040)#560.48(+0.010)#4,082
57.584220.490.45(+0.040)#570.48(+0.009)#4,133
58.587210.490.45(+0.039)#580.48(+0.008)#4,203
59.583410.490.45(+0.038)#590.48(+0.007)#4,291
60.582820.490.45(+0.038)#600.48(+0.007)#4,300
61.580320.490.45(+0.038)#610.48(+0.007)#4,309
62.588380.490.45(+0.037)#620.48(+0.006)#4,413
63.583480.490.45(+0.034)#630.48(+0.004)#4,620
64.584480.480.45(+0.032)#640.48(+0.001)#4,886
65.583290.480.45(+0.032)#650.48(+0.001)#4,897
66.584870.480.45(+0.030)#660.48(-0.001)#5,128
67.583310.480.45(+0.029)#670.48(-0.001)#5,168
68.584360.480.45(+0.029)#680.48(-0.002)#5,187
69.587930.480.45(+0.028)#690.48(-0.003)#5,288
70.583180.480.45(+0.028)#700.48(-0.003)#5,316
71.587920.480.45(+0.028)#710.48(-0.003)#5,335
72.585420.480.45(+0.028)#720.48(-0.003)#5,374
73.587830.480.45(+0.026)#730.48(-0.004)#5,494
74.580750.480.45(+0.024)#740.48(-0.007)#5,764
75.583740.480.45(+0.024)#750.48(-0.007)#5,807
76.585710.470.45(+0.023)#760.48(-0.008)#5,901
77.580790.470.45(+0.021)#770.48(-0.009)#6,092
78.583810.470.45(+0.021)#780.48(-0.010)#6,132
79.582570.470.45(+0.020)#790.48(-0.011)#6,337
80.582510.470.45(+0.019)#800.48(-0.012)#6,476
81.585350.470.45(+0.018)#810.48(-0.012)#6,506
82.584130.470.45(+0.018)#820.48(-0.013)#6,565
83.587790.470.45(+0.017)#830.48(-0.014)#6,728
84.582010.470.45(+0.017)#840.48(-0.014)#6,729
85.580720.470.45(+0.015)#850.48(-0.016)#6,922
86.583520.470.45(+0.015)#860.48(-0.016)#6,967
87.588540.470.45(+0.015)#870.48(-0.016)#7,001
88.587010.460.45(+0.013)#880.48(-0.018)#7,252
89.585760.460.45(+0.012)#890.48(-0.019)#7,395
90.584660.460.45(+0.012)#900.48(-0.019)#7,418
91.588520.460.45(+0.011)#910.48(-0.020)#7,553
92.582760.460.45(+0.010)#920.48(-0.021)#7,633
93.582370.460.45(+0.008)#930.48(-0.023)#7,917
94.583270.460.45(+0.008)#940.48(-0.023)#7,984
95.580210.460.45(+0.007)#950.48(-0.024)#8,092
96.581030.460.45(+0.006)#960.48(-0.025)#8,267
97.584740.460.45(+0.006)#970.48(-0.025)#8,278
98.580570.460.45(+0.005)#980.48(-0.026)#8,439
99.582220.460.45(+0.004)#990.48(-0.027)#8,563
100.584390.460.45(+0.003)#1000.48(-0.028)#8,713

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in North Dakota?
Top 10 Zip Codes with the Highest Inequality / Gini Index in North Dakota are:
#1
1.00
#2
0.73
#3
0.69
#4
0.65
#5
0.60
#6
0.60
#7
0.60
#8
0.59
#9
0.59
#10
0.58
What zip code has the Highest Inequality / Gini Index in North Dakota?
58405 has the Highest Inequality / Gini Index in North Dakota with 1.00.
What is the Inequality / Gini Index in the State of North Dakota?
Inequality / Gini Index in North Dakota is 0.45.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.