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

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Lowest 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
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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 Lowest Inequality / Gini Index in Minneapolis

0.60
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Zip Codes with the Lowest Inequality / Gini Index in Minneapolis Map

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

Zip Code Inequality / Gini Index vs State vs National
1.554450.340.45(-0.107)#1020.48(-0.141)#4,466
2.554440.350.45(-0.099)#1240.48(-0.132)#5,166
3.554340.350.45(-0.095)#1320.48(-0.129)#5,514
4.554480.350.45(-0.095)#1340.48(-0.128)#5,551
5.554300.360.45(-0.087)#1680.48(-0.120)#6,425
6.554330.360.45(-0.086)#1730.48(-0.120)#6,506
7.554320.380.45(-0.073)#2450.48(-0.106)#8,347
8.554310.380.45(-0.071)#2590.48(-0.104)#8,646
9.554230.400.45(-0.050)#4030.48(-0.083)#12,638
10.554490.400.45(-0.049)#4060.48(-0.083)#12,686
11.554170.400.45(-0.049)#4090.48(-0.082)#12,778
12.554270.410.45(-0.044)#4490.48(-0.077)#13,863
13.554460.410.45(-0.042)#4610.48(-0.076)#14,125
14.554210.420.45(-0.033)#5170.48(-0.066)#16,158
15.554280.420.45(-0.031)#5280.48(-0.065)#16,435
16.554200.420.45(-0.031)#5350.48(-0.064)#16,593
17.554090.420.45(-0.030)#5400.48(-0.063)#16,759
18.554250.420.45(-0.028)#5500.48(-0.062)#17,145
19.554370.420.45(-0.026)#5630.48(-0.060)#17,552
20.554020.420.45(-0.025)#5720.48(-0.058)#17,833
21.554060.430.45(-0.024)#5780.48(-0.057)#18,088
22.554430.430.45(-0.023)#5820.48(-0.057)#18,209
23.554260.430.45(-0.022)#5930.48(-0.055)#18,503
24.554120.430.45(-0.022)#5950.48(-0.055)#18,557
25.554420.430.45(-0.019)#6140.48(-0.052)#19,154
26.554470.430.45(-0.016)#6280.48(-0.050)#19,636
27.554380.440.45(-0.013)#6580.48(-0.046)#20,304
28.554290.440.45(-0.013)#6610.48(-0.046)#20,389
29.554180.440.45(-0.012)#6640.48(-0.045)#20,524
30.554390.440.45(-0.009)#6760.48(-0.043)#20,975
31.554070.450.45(-0.003)#7030.48(-0.036)#22,143
32.554160.450.45(-0.002)#7120.48(-0.035)#22,373
33.554080.450.45(+0.000)#7200.48(-0.033)#22,730
34.554190.450.45(+0.004)#7350.48(-0.030)#23,294
35.554100.460.45(+0.010)#7600.48(-0.023)#24,396
36.554130.460.45(+0.013)#7710.48(-0.020)#24,844
37.554410.470.45(+0.016)#7770.48(-0.017)#25,230
38.554540.470.45(+0.020)#7890.48(-0.014)#25,700
39.554220.470.45(+0.024)#7990.48(-0.009)#26,295
40.554010.480.45(+0.030)#8140.48(-0.003)#26,993
41.554350.480.45(+0.035)#8250.48(+0.002)#27,580
42.554240.490.45(+0.037)#8290.48(+0.003)#27,724
43.554150.500.45(+0.046)#8370.48(+0.013)#28,564
44.554110.500.45(+0.051)#8400.48(+0.017)#28,879
45.554050.510.45(+0.057)#8450.48(+0.024)#29,374
46.554360.510.45(+0.061)#8490.48(+0.028)#29,657
47.554040.520.45(+0.070)#8550.48(+0.036)#30,092
48.554140.530.45(+0.078)#8580.48(+0.045)#30,500
49.554030.560.45(+0.108)#8670.48(+0.075)#31,408

Common Questions

What are the Top 10 Zip Codes with the Lowest Inequality / Gini Index in Minneapolis, MN?
Top 10 Zip Codes with the Lowest Inequality / Gini Index in Minneapolis, MN are:
#1
0.34
#2
0.35
#3
0.35
#4
0.35
#5
0.36
#6
0.36
#7
0.38
#8
0.38
#9
0.40
#10
0.40
What zip code has the Lowest Inequality / Gini Index in Minneapolis, MN?
55445 has the Lowest Inequality / Gini Index in Minneapolis, MN with 0.34.
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.