Zip Codes with the Highest Inequality / Gini Index in Minneapolis, MN

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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 NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTonganTrinidadian and TobagonianTurkishUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern 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
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Minneapolis
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Comparison Subject

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

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Zip Codes with the Highest Inequality / Gini Index in Minneapolis Map

Zip Codes with the Highest Inequality / Gini Index in Minneapolis, MN

Zip Code Inequality / Gini Index vs State vs National
1.554030.560.45(+0.108)#50.48(+0.075)#965
2.554140.530.45(+0.078)#140.48(+0.045)#1,872
3.554040.520.45(+0.070)#170.48(+0.036)#2,280
4.554360.510.45(+0.061)#230.48(+0.028)#2,716
5.554050.510.45(+0.057)#270.48(+0.024)#3,002
6.554110.500.45(+0.051)#320.48(+0.017)#3,490
7.554150.500.45(+0.046)#350.48(+0.013)#3,816
8.554240.490.45(+0.037)#430.48(+0.003)#4,646
9.554350.480.45(+0.035)#470.48(+0.002)#4,796
10.554010.480.45(+0.030)#580.48(-0.003)#5,380
11.554220.470.45(+0.024)#730.48(-0.009)#6,067
12.554540.470.45(+0.020)#830.48(-0.014)#6,679
13.554410.470.45(+0.016)#950.48(-0.017)#7,137
14.554130.460.45(+0.013)#1010.48(-0.020)#7,530
15.554100.460.45(+0.010)#1120.48(-0.023)#7,972
16.554190.450.45(+0.004)#1380.48(-0.030)#9,071
17.554080.450.45(+0.000)#1520.48(-0.033)#9,637
18.554160.450.45(-0.002)#1600.48(-0.035)#9,993
19.554070.450.45(-0.003)#1680.48(-0.036)#10,224
20.554390.440.45(-0.009)#1970.48(-0.043)#11,394
21.554180.440.45(-0.012)#2080.48(-0.045)#11,838
22.554290.440.45(-0.013)#2120.48(-0.046)#11,984
23.554380.440.45(-0.013)#2130.48(-0.046)#12,056
24.554470.430.45(-0.016)#2450.48(-0.050)#12,738
25.554420.430.45(-0.019)#2580.48(-0.052)#13,215
26.554120.430.45(-0.022)#2770.48(-0.055)#13,811
27.554260.430.45(-0.022)#2790.48(-0.055)#13,867
28.554430.430.45(-0.023)#2890.48(-0.057)#14,155
29.554060.430.45(-0.024)#2940.48(-0.057)#14,270
30.554020.420.45(-0.025)#3020.48(-0.058)#14,566
31.554370.420.45(-0.026)#3090.48(-0.060)#14,813
32.554250.420.45(-0.028)#3220.48(-0.062)#15,230
33.554090.420.45(-0.030)#3320.48(-0.063)#15,604
34.554200.420.45(-0.031)#3370.48(-0.064)#15,766
35.554280.420.45(-0.031)#3430.48(-0.065)#15,921
36.554210.420.45(-0.033)#3550.48(-0.066)#16,200
37.554460.410.45(-0.042)#4110.48(-0.076)#18,234
38.554270.410.45(-0.044)#4210.48(-0.077)#18,495
39.554170.400.45(-0.049)#4620.48(-0.082)#19,586
40.554490.400.45(-0.049)#4660.48(-0.083)#19,664
41.554230.400.45(-0.050)#4690.48(-0.083)#19,719
42.554310.380.45(-0.071)#6130.48(-0.104)#23,718
43.554320.380.45(-0.073)#6260.48(-0.106)#24,014
44.554330.360.45(-0.086)#6990.48(-0.120)#25,857
45.554300.360.45(-0.087)#7040.48(-0.120)#25,943
46.554480.350.45(-0.095)#7370.48(-0.128)#26,816
47.554340.350.45(-0.095)#7400.48(-0.129)#26,855
48.554440.350.45(-0.099)#7480.48(-0.132)#27,198
49.554450.340.45(-0.107)#7700.48(-0.141)#27,902

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Minneapolis, MN?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Minneapolis, MN are:
#1
0.56
#2
0.53
#3
0.52
#4
0.51
#5
0.51
#6
0.50
#7
0.50
#8
0.49
#9
0.48
#10
0.48
What zip code has the Highest Inequality / Gini Index in Minneapolis, MN?
55403 has the Highest Inequality / Gini Index in Minneapolis, MN with 0.56.
What is the Inequality / Gini Index in Minneapolis, MN?
Inequality / Gini Index in Minneapolis is 0.49.
What is the Inequality / Gini Index in 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.