Zip Codes with the Highest Inequality / Gini Index in Minnesota

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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
Minnesota
Compare Zip Codes
Comparison Subject

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

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

Zip Codes with the Highest Inequality / Gini Index in Minnesota

Zip Code Inequality / Gini Index vs State vs National
1.553560.610.45(+0.165)#10.48(+0.132)#270
2.556130.610.45(+0.160)#20.48(+0.127)#302
3.558020.580.45(+0.131)#30.48(+0.098)#562
4.553910.560.45(+0.109)#40.48(+0.076)#938
5.554030.560.45(+0.108)#50.48(+0.075)#965
6.553590.560.45(+0.106)#60.48(+0.073)#1,018
7.551500.550.45(+0.099)#70.48(+0.066)#1,187
8.562490.540.45(+0.094)#80.48(+0.060)#1,333
9.565910.540.45(+0.093)#90.48(+0.059)#1,354
10.566700.540.45(+0.089)#100.48(+0.056)#1,483
11.557190.530.45(+0.084)#110.48(+0.051)#1,653
12.565310.530.45(+0.082)#120.48(+0.049)#1,711
13.561340.530.45(+0.079)#130.48(+0.045)#1,842
14.554140.530.45(+0.078)#140.48(+0.045)#1,872
15.561470.520.45(+0.073)#150.48(+0.040)#2,123
16.558120.520.45(+0.071)#160.48(+0.038)#2,203
17.554040.520.45(+0.070)#170.48(+0.036)#2,280
18.562670.520.45(+0.069)#180.48(+0.036)#2,319
19.563250.520.45(+0.068)#190.48(+0.035)#2,363
20.560270.520.45(+0.066)#200.48(+0.033)#2,468
21.559020.520.45(+0.066)#210.48(+0.032)#2,491
22.566590.510.45(+0.063)#220.48(+0.030)#2,629
23.554360.510.45(+0.061)#230.48(+0.028)#2,716
24.565350.510.45(+0.060)#240.48(+0.027)#2,818
25.550470.510.45(+0.059)#250.48(+0.025)#2,906
26.551160.510.45(+0.059)#260.48(+0.025)#2,910
27.554050.510.45(+0.057)#270.48(+0.024)#3,002
28.565010.500.45(+0.054)#280.48(+0.021)#3,197
29.561670.500.45(+0.054)#290.48(+0.021)#3,226
30.563190.500.45(+0.053)#300.48(+0.020)#3,312
31.562080.500.45(+0.052)#310.48(+0.018)#3,399
32.554110.500.45(+0.051)#320.48(+0.017)#3,490
33.560140.500.45(+0.049)#330.48(+0.016)#3,604
34.551050.500.45(+0.047)#340.48(+0.013)#3,769
35.554150.500.45(+0.046)#350.48(+0.013)#3,816
36.566830.500.45(+0.046)#360.48(+0.012)#3,844
37.565240.490.45(+0.045)#370.48(+0.011)#3,932
38.564410.490.45(+0.043)#380.48(+0.010)#4,051
39.560030.490.45(+0.042)#390.48(+0.009)#4,129
40.565680.490.45(+0.042)#400.48(+0.008)#4,204
41.559500.490.45(+0.039)#410.48(+0.006)#4,463
42.550260.490.45(+0.037)#420.48(+0.004)#4,594
43.554240.490.45(+0.037)#430.48(+0.003)#4,646
44.553310.490.45(+0.036)#440.48(+0.003)#4,669
45.553840.490.45(+0.036)#450.48(+0.003)#4,743
46.565210.480.45(+0.035)#460.48(+0.002)#4,783
47.554350.480.45(+0.035)#470.48(+0.002)#4,796
48.564700.480.45(+0.035)#480.48(+0.002)#4,835
49.561320.480.45(+0.034)#490.48(+0.001)#4,934
50.565200.480.45(+0.034)#500.48(+0.000)#4,959
51.551030.480.45(+0.033)#510.48(-0.000)#5,033
52.565840.480.45(+0.033)#520.48(-0.000)#5,055
53.553640.480.45(+0.032)#530.48(-0.001)#5,125
54.550420.480.45(+0.032)#540.48(-0.001)#5,149
55.551150.480.45(+0.032)#550.48(-0.001)#5,164
56.566440.480.45(+0.031)#560.48(-0.003)#5,287
57.559820.480.45(+0.030)#570.48(-0.003)#5,372
58.554010.480.45(+0.030)#580.48(-0.003)#5,380
59.562580.480.45(+0.030)#590.48(-0.004)#5,399
60.558050.480.45(+0.030)#600.48(-0.004)#5,402
61.567330.480.45(+0.029)#610.48(-0.004)#5,495
62.561360.480.45(+0.029)#620.48(-0.005)#5,507
63.551070.480.45(+0.029)#630.48(-0.005)#5,522
64.553350.480.45(+0.028)#640.48(-0.005)#5,549
65.563420.480.45(+0.028)#650.48(-0.006)#5,617
66.565340.480.45(+0.028)#660.48(-0.006)#5,619
67.563500.480.45(+0.027)#670.48(-0.006)#5,661
68.559350.480.45(+0.027)#680.48(-0.006)#5,666
69.553340.480.45(+0.026)#690.48(-0.007)#5,812
70.565660.470.45(+0.025)#700.48(-0.008)#5,951
71.550890.470.45(+0.024)#710.48(-0.009)#6,019
72.566270.470.45(+0.024)#720.48(-0.009)#6,040
73.554220.470.45(+0.024)#730.48(-0.009)#6,067
74.551180.470.45(+0.023)#740.48(-0.010)#6,161
75.561440.470.45(+0.023)#750.48(-0.010)#6,200
76.560810.470.45(+0.023)#760.48(-0.011)#6,237
77.551270.470.45(+0.022)#770.48(-0.011)#6,317
78.557210.470.45(+0.022)#780.48(-0.011)#6,360
79.562250.470.45(+0.022)#790.48(-0.012)#6,385
80.563160.470.45(+0.022)#800.48(-0.012)#6,422
81.561860.470.45(+0.021)#810.48(-0.013)#6,526
82.562390.470.45(+0.020)#820.48(-0.013)#6,623
83.554540.470.45(+0.020)#830.48(-0.014)#6,679
84.564740.470.45(+0.020)#840.48(-0.014)#6,694
85.551020.470.45(+0.019)#850.48(-0.014)#6,770
86.557980.470.45(+0.019)#860.48(-0.015)#6,818
87.564840.470.45(+0.018)#870.48(-0.015)#6,870
88.565940.470.45(+0.018)#880.48(-0.015)#6,875
89.551040.470.45(+0.018)#890.48(-0.015)#6,893
90.562760.470.45(+0.018)#900.48(-0.016)#6,930
91.565570.470.45(+0.017)#910.48(-0.016)#6,980
92.559510.470.45(+0.017)#920.48(-0.016)#6,982
93.553050.470.45(+0.017)#930.48(-0.016)#7,014
94.560070.470.45(+0.017)#940.48(-0.017)#7,069
95.554410.470.45(+0.016)#950.48(-0.017)#7,137
96.551200.460.45(+0.015)#960.48(-0.018)#7,278
97.565100.460.45(+0.015)#970.48(-0.018)#7,291
98.565160.460.45(+0.015)#980.48(-0.018)#7,293
99.557160.460.45(+0.014)#990.48(-0.020)#7,468
100.553400.460.45(+0.013)#1000.48(-0.020)#7,519

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Minnesota?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Minnesota are:
#1
0.61
#2
0.61
#3
0.58
#4
0.56
#5
0.56
#6
0.56
#7
0.55
#8
0.54
#9
0.54
#10
0.54
What zip code has the Highest Inequality / Gini Index in Minnesota?
55356 has the Highest Inequality / Gini Index in Minnesota with 0.61.
What is the Inequality / Gini Index in the State of Minnesota?
Inequality / Gini Index in Minnesota is 0.45.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.