Zip Codes with the Highest Inequality / Gini Index in Montana

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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
Montana
Compare Zip Codes
Comparison Subject

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

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0.80
Zip Codes with the Highest Inequality / Gini Index in Montana Map

Zip Codes with the Highest Inequality / Gini Index in Montana

Zip Code Inequality / Gini Index vs State vs National
1.594180.680.46(+0.217)#10.48(+0.198)#80
2.595310.660.46(+0.191)#20.48(+0.172)#128
3.594800.640.46(+0.176)#30.48(+0.157)#168
4.598430.630.46(+0.165)#40.48(+0.146)#202
5.594710.630.46(+0.162)#50.48(+0.143)#213
6.592190.620.46(+0.161)#60.48(+0.142)#222
7.599150.620.46(+0.153)#70.48(+0.135)#254
8.593430.610.46(+0.149)#80.48(+0.130)#279
9.594830.610.46(+0.146)#90.48(+0.128)#297
10.590020.600.46(+0.136)#100.48(+0.118)#372
11.594680.590.46(+0.126)#110.48(+0.107)#457
12.590080.590.46(+0.126)#120.48(+0.107)#459
13.593260.590.46(+0.122)#130.48(+0.103)#506
14.598290.580.46(+0.115)#140.48(+0.097)#572
15.594640.580.46(+0.113)#150.48(+0.094)#600
16.598460.570.46(+0.109)#160.48(+0.090)#668
17.598320.570.46(+0.105)#170.48(+0.087)#728
18.590070.570.46(+0.104)#180.48(+0.085)#749
19.590010.570.46(+0.102)#190.48(+0.083)#782
20.590530.560.46(+0.092)#200.48(+0.073)#1,002
21.592470.560.46(+0.091)#210.48(+0.073)#1,009
22.594790.550.46(+0.089)#220.48(+0.070)#1,064
23.594530.550.46(+0.087)#230.48(+0.069)#1,112
24.594560.550.46(+0.086)#240.48(+0.067)#1,142
25.590180.540.46(+0.079)#250.48(+0.061)#1,326
26.594620.540.46(+0.072)#260.48(+0.054)#1,558
27.590160.540.46(+0.072)#270.48(+0.053)#1,567
28.595350.540.46(+0.071)#280.48(+0.052)#1,601
29.598420.540.46(+0.071)#290.48(+0.052)#1,607
30.598680.530.46(+0.070)#300.48(+0.052)#1,618
31.599160.530.46(+0.070)#310.48(+0.051)#1,647
32.592560.530.46(+0.065)#320.48(+0.047)#1,795
33.597150.530.46(+0.065)#330.48(+0.046)#1,806
34.599290.530.46(+0.064)#340.48(+0.045)#1,852
35.592540.530.46(+0.063)#350.48(+0.044)#1,879
36.598640.530.46(+0.062)#360.48(+0.043)#1,933
37.598450.530.46(+0.061)#370.48(+0.042)#1,979
38.594210.520.46(+0.060)#380.48(+0.042)#1,993
39.594190.520.46(+0.059)#390.48(+0.040)#2,105
40.599310.520.46(+0.055)#400.48(+0.037)#2,258
41.599370.520.46(+0.055)#410.48(+0.036)#2,297
42.590540.520.46(+0.054)#420.48(+0.036)#2,307
43.596430.520.46(+0.053)#430.48(+0.034)#2,382
44.593380.520.46(+0.052)#440.48(+0.034)#2,422
45.592130.520.46(+0.051)#450.48(+0.032)#2,488
46.596400.510.46(+0.050)#460.48(+0.031)#2,554
47.590520.510.46(+0.050)#470.48(+0.031)#2,565
48.593440.510.46(+0.049)#480.48(+0.030)#2,615
49.598590.510.46(+0.047)#490.48(+0.029)#2,696
50.590660.510.46(+0.047)#500.48(+0.028)#2,719
51.594170.510.46(+0.046)#510.48(+0.028)#2,757
52.590890.510.46(+0.045)#520.48(+0.027)#2,810
53.597580.510.46(+0.043)#530.48(+0.024)#2,988
54.594010.510.46(+0.042)#540.48(+0.024)#3,007
55.592550.500.46(+0.040)#550.48(+0.021)#3,174
56.594630.500.46(+0.039)#560.48(+0.021)#3,239
57.594720.500.46(+0.037)#570.48(+0.018)#3,409
58.599140.500.46(+0.036)#580.48(+0.018)#3,441
59.593180.500.46(+0.036)#590.48(+0.018)#3,468
60.597010.500.46(+0.036)#600.48(+0.017)#3,506
61.597460.500.46(+0.034)#610.48(+0.016)#3,605
62.594480.500.46(+0.033)#620.48(+0.015)#3,689
63.597600.500.46(+0.033)#630.48(+0.014)#3,699
64.597320.500.46(+0.033)#640.48(+0.014)#3,700
65.590680.490.46(+0.028)#650.48(+0.010)#4,101
66.590360.490.46(+0.027)#660.48(+0.008)#4,200
67.596480.490.46(+0.026)#670.48(+0.008)#4,275
68.599350.490.46(+0.024)#680.48(+0.006)#4,430
69.593490.490.46(+0.024)#690.48(+0.005)#4,497
70.590770.490.46(+0.021)#700.48(+0.003)#4,735
71.595220.480.46(+0.020)#710.48(+0.002)#4,831
72.597100.480.46(+0.020)#720.48(+0.001)#4,851
73.590590.480.46(+0.019)#730.48(+0.001)#4,913
74.598080.480.46(+0.016)#740.48(-0.002)#5,242
75.591060.480.46(+0.016)#750.48(-0.002)#5,255
76.592140.480.46(+0.016)#760.48(-0.003)#5,308
77.590030.480.46(+0.016)#770.48(-0.003)#5,319
78.590320.480.46(+0.012)#780.48(-0.007)#5,715
79.598580.480.46(+0.011)#790.48(-0.007)#5,804
80.593360.470.46(+0.010)#800.48(-0.009)#6,039
81.590850.470.46(+0.007)#810.48(-0.011)#6,326
82.596310.470.46(+0.007)#820.48(-0.012)#6,386
83.590670.470.46(+0.007)#830.48(-0.012)#6,428
84.598010.470.46(+0.006)#840.48(-0.013)#6,519
85.594200.470.46(+0.005)#850.48(-0.013)#6,642
86.597250.470.46(+0.005)#860.48(-0.014)#6,654
87.590470.470.46(+0.005)#870.48(-0.014)#6,720
88.594460.470.46(+0.003)#880.48(-0.016)#6,984
89.596010.470.46(+0.002)#890.48(-0.017)#7,067
90.593510.470.46(+0.002)#900.48(-0.017)#7,089
91.590150.470.46(+0.002)#910.48(-0.017)#7,101
92.598310.470.46(+0.001)#920.48(-0.018)#7,191
93.594340.470.46(+0.001)#930.48(-0.018)#7,193
94.597350.470.46(+0.001)#940.48(-0.018)#7,194
95.598280.470.46(+0.001)#950.48(-0.018)#7,231
96.598020.460.46(-0.000)#960.48(-0.019)#7,375
97.599230.460.46(-0.001)#970.48(-0.019)#7,439
98.597610.460.46(-0.002)#980.48(-0.020)#7,523
99.594650.460.46(-0.002)#990.48(-0.021)#7,661
100.590740.460.46(-0.003)#1000.48(-0.021)#7,689

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Montana?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Montana are:
#1
0.68
#2
0.66
#3
0.64
#4
0.63
#5
0.63
#6
0.62
#7
0.62
#8
0.61
#9
0.61
#10
0.60
What zip code has the Highest Inequality / Gini Index in Montana?
59418 has the Highest Inequality / Gini Index in Montana with 0.68.
What is the Inequality / Gini Index in the State of Montana?
Inequality / Gini Index in Montana is 0.46.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.