Zip Codes with the Lowest Inequality / Gini Index in Minnesota

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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 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 Lowest Inequality / Gini Index in Minnesota

0.40
0.00
Zip Codes with the Lowest Inequality / Gini Index in Minnesota Map

Zip Codes with the Lowest Inequality / Gini Index in Minnesota

Zip Code Inequality / Gini Index vs State vs National
1.567110.010.45(-0.440)#10.48(-0.473)#18
2.562100.040.45(-0.406)#20.48(-0.439)#77
3.550290.050.45(-0.396)#30.48(-0.429)#101
4.560300.140.45(-0.306)#40.48(-0.339)#366
5.565650.190.45(-0.258)#50.48(-0.292)#595
6.550870.200.45(-0.251)#60.48(-0.284)#655
7.566290.210.45(-0.237)#70.48(-0.271)#761
8.561400.220.45(-0.233)#80.48(-0.266)#801
9.560460.230.45(-0.216)#90.48(-0.249)#979
10.566730.250.45(-0.198)#100.48(-0.231)#1,197
11.550540.250.45(-0.196)#110.48(-0.230)#1,221
12.560220.260.45(-0.195)#120.48(-0.228)#1,248
13.565410.260.45(-0.186)#130.48(-0.219)#1,372
14.567200.270.45(-0.181)#140.48(-0.214)#1,440
15.556090.270.45(-0.181)#150.48(-0.214)#1,444
16.557720.270.45(-0.178)#160.48(-0.211)#1,486
17.563350.270.45(-0.175)#170.48(-0.209)#1,544
18.566880.270.45(-0.175)#180.48(-0.208)#1,552
19.562070.280.45(-0.171)#190.48(-0.205)#1,635
20.550050.280.45(-0.170)#200.48(-0.203)#1,667
21.565530.290.45(-0.164)#210.48(-0.197)#1,810
22.563840.290.45(-0.163)#220.48(-0.197)#1,816
23.561530.300.45(-0.151)#230.48(-0.184)#2,122
24.563130.300.45(-0.149)#240.48(-0.182)#2,180
25.561660.300.45(-0.149)#250.48(-0.182)#2,190
26.553010.300.45(-0.148)#260.48(-0.181)#2,223
27.563750.300.45(-0.145)#270.48(-0.178)#2,324
28.563300.310.45(-0.143)#280.48(-0.176)#2,393
29.557580.310.45(-0.142)#290.48(-0.175)#2,447
30.557860.310.45(-0.141)#300.48(-0.174)#2,501
31.563560.310.45(-0.141)#310.48(-0.174)#2,516
32.560540.310.45(-0.141)#320.48(-0.174)#2,522
33.550110.310.45(-0.140)#330.48(-0.173)#2,556
34.566540.310.45(-0.139)#340.48(-0.172)#2,587
35.561250.310.45(-0.139)#350.48(-0.172)#2,590
36.557970.310.45(-0.138)#360.48(-0.171)#2,626
37.562160.310.45(-0.136)#370.48(-0.169)#2,712
38.563280.310.45(-0.136)#380.48(-0.169)#2,720
39.565220.310.45(-0.135)#390.48(-0.168)#2,757
40.550700.320.45(-0.132)#400.48(-0.166)#2,872
41.557820.320.45(-0.132)#410.48(-0.165)#2,905
42.553600.320.45(-0.131)#420.48(-0.164)#2,953
43.553630.320.45(-0.131)#430.48(-0.164)#2,968
44.565330.320.45(-0.130)#440.48(-0.163)#3,037
45.560560.320.45(-0.128)#450.48(-0.162)#3,085
46.550710.320.45(-0.128)#460.48(-0.162)#3,086
47.560340.320.45(-0.128)#470.48(-0.161)#3,102
48.553760.320.45(-0.127)#480.48(-0.161)#3,124
49.557030.320.45(-0.127)#490.48(-0.160)#3,162
50.561460.320.45(-0.126)#500.48(-0.160)#3,185
51.553880.320.45(-0.126)#510.48(-0.159)#3,202
52.557490.320.45(-0.126)#520.48(-0.159)#3,226
53.553900.330.45(-0.124)#530.48(-0.158)#3,285
54.565740.330.45(-0.124)#540.48(-0.158)#3,288
55.562260.330.45(-0.124)#550.48(-0.158)#3,290
56.550850.330.45(-0.123)#560.48(-0.156)#3,355
57.550740.330.45(-0.123)#570.48(-0.156)#3,370
58.560780.330.45(-0.123)#580.48(-0.156)#3,375
59.561580.330.45(-0.123)#590.48(-0.156)#3,391
60.559680.330.45(-0.123)#600.48(-0.156)#3,400
61.563690.330.45(-0.122)#610.48(-0.156)#3,419
62.560370.330.45(-0.120)#620.48(-0.154)#3,516
63.550200.330.45(-0.120)#630.48(-0.153)#3,532
64.550460.330.45(-0.120)#640.48(-0.153)#3,544
65.560750.330.45(-0.120)#650.48(-0.153)#3,555
66.562850.330.45(-0.120)#660.48(-0.153)#3,571
67.553860.330.45(-0.119)#670.48(-0.152)#3,606
68.563400.330.45(-0.119)#680.48(-0.152)#3,607
69.557020.330.45(-0.118)#690.48(-0.151)#3,666
70.560250.330.45(-0.118)#700.48(-0.151)#3,674
71.559610.330.45(-0.117)#710.48(-0.151)#3,714
72.567600.330.45(-0.117)#720.48(-0.150)#3,742
73.561180.330.45(-0.116)#730.48(-0.150)#3,781
74.557250.330.45(-0.116)#740.48(-0.150)#3,791
75.550120.330.45(-0.116)#750.48(-0.149)#3,853
76.550160.330.45(-0.115)#760.48(-0.149)#3,859
77.563630.330.45(-0.115)#770.48(-0.149)#3,870
78.550360.330.45(-0.115)#780.48(-0.149)#3,871
79.560890.330.45(-0.115)#790.48(-0.148)#3,908
80.557330.340.45(-0.114)#800.48(-0.148)#3,926
81.550530.340.45(-0.114)#810.48(-0.148)#3,934
82.550240.340.45(-0.114)#820.48(-0.148)#3,938
83.567560.340.45(-0.114)#830.48(-0.147)#3,989
84.553810.340.45(-0.113)#840.48(-0.147)#4,001
85.561220.340.45(-0.112)#850.48(-0.145)#4,100
86.563570.340.45(-0.112)#860.48(-0.145)#4,107
87.559590.340.45(-0.112)#870.48(-0.145)#4,118
88.563100.340.45(-0.112)#880.48(-0.145)#4,132
89.567230.340.45(-0.111)#890.48(-0.145)#4,158
90.567290.340.45(-0.111)#900.48(-0.144)#4,188
91.557510.340.45(-0.111)#910.48(-0.144)#4,210
92.561690.340.45(-0.111)#920.48(-0.144)#4,213
93.553380.340.45(-0.110)#930.48(-0.144)#4,217
94.557500.340.45(-0.110)#940.48(-0.143)#4,278
95.567350.340.45(-0.110)#950.48(-0.143)#4,279
96.562310.340.45(-0.109)#960.48(-0.143)#4,309
97.553410.340.45(-0.109)#970.48(-0.143)#4,310
98.564580.340.45(-0.109)#980.48(-0.143)#4,313
99.560650.340.45(-0.109)#990.48(-0.143)#4,316
100.561210.340.45(-0.108)#1000.48(-0.142)#4,396

Common Questions

What are the Top 10 Zip Codes with the Lowest Inequality / Gini Index in Minnesota?
Top 10 Zip Codes with the Lowest Inequality / Gini Index in Minnesota are:
#1
0.01
#2
0.04
#3
0.05
#4
0.14
#5
0.19
#6
0.20
#7
0.21
#8
0.22
#9
0.23
#10
0.25
What zip code has the Lowest Inequality / Gini Index in Minnesota?
56711 has the Lowest Inequality / Gini Index in Minnesota with 0.01.
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.