Zip Codes with the Lowest Inequality / Gini Index in Michigan

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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
Michigan
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Inequality / Gini Index in Michigan

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Zip Codes with the Lowest Inequality / Gini Index in Michigan Map

Zip Codes with the Lowest Inequality / Gini Index in Michigan

Zip Code Inequality / Gini Index vs State vs National
1.497220.030.46(-0.439)#10.48(-0.458)#41
2.490840.080.46(-0.383)#20.48(-0.401)#160
3.481390.080.46(-0.382)#30.48(-0.400)#163
4.487240.090.46(-0.376)#40.48(-0.395)#180
5.486300.100.46(-0.366)#50.48(-0.384)#215
6.488160.120.46(-0.347)#60.48(-0.365)#267
7.498330.120.46(-0.344)#70.48(-0.363)#279
8.490740.130.46(-0.337)#80.48(-0.356)#303
9.491190.160.46(-0.300)#90.48(-0.319)#448
10.488620.190.46(-0.270)#100.48(-0.289)#627
11.481770.200.46(-0.267)#110.48(-0.285)#646
12.498260.210.46(-0.254)#120.48(-0.272)#751
13.498080.210.46(-0.250)#130.48(-0.269)#782
14.488740.240.46(-0.222)#140.48(-0.241)#1,063
15.497170.240.46(-0.221)#150.48(-0.239)#1,075
16.499290.250.46(-0.218)#160.48(-0.237)#1,115
17.493350.250.46(-0.216)#170.48(-0.235)#1,145
18.484100.250.46(-0.215)#180.48(-0.233)#1,159
19.481900.250.46(-0.209)#190.48(-0.228)#1,245
20.498770.250.46(-0.209)#200.48(-0.228)#1,246
21.493200.260.46(-0.208)#210.48(-0.227)#1,267
22.499600.260.46(-0.203)#220.48(-0.222)#1,335
23.496340.260.46(-0.202)#230.48(-0.221)#1,351
24.486200.260.46(-0.200)#240.48(-0.219)#1,378
25.486190.270.46(-0.199)#250.48(-0.218)#1,387
26.486360.270.46(-0.197)#260.48(-0.216)#1,417
27.490750.270.46(-0.190)#270.48(-0.208)#1,551
28.496110.280.46(-0.186)#280.48(-0.205)#1,639
29.481430.280.46(-0.186)#290.48(-0.205)#1,641
30.494090.280.46(-0.185)#300.48(-0.204)#1,653
31.496740.280.46(-0.184)#310.48(-0.203)#1,670
32.490270.280.46(-0.179)#320.48(-0.198)#1,787
33.499170.290.46(-0.175)#330.48(-0.194)#1,896
34.492820.290.46(-0.172)#340.48(-0.191)#1,952
35.499610.290.46(-0.172)#350.48(-0.190)#1,972
36.492580.300.46(-0.166)#360.48(-0.185)#2,114
37.498150.300.46(-0.165)#370.48(-0.184)#2,129
38.498810.300.46(-0.163)#380.48(-0.182)#2,185
39.493230.300.46(-0.162)#390.48(-0.181)#2,233
40.498720.310.46(-0.158)#400.48(-0.177)#2,389
41.488700.310.46(-0.156)#410.48(-0.175)#2,467
42.498730.310.46(-0.150)#420.48(-0.168)#2,749
43.488940.310.46(-0.150)#430.48(-0.168)#2,751
44.498830.320.46(-0.149)#440.48(-0.167)#2,783
45.494300.320.46(-0.147)#450.48(-0.166)#2,856
46.484370.320.46(-0.147)#460.48(-0.165)#2,894
47.481400.320.46(-0.146)#470.48(-0.165)#2,900
48.499190.320.46(-0.145)#480.48(-0.164)#3,000
49.498860.320.46(-0.145)#490.48(-0.163)#3,012
50.488190.320.46(-0.143)#500.48(-0.162)#3,071
51.493260.320.46(-0.141)#510.48(-0.160)#3,150
52.480220.330.46(-0.138)#520.48(-0.157)#3,343
53.484760.330.46(-0.138)#530.48(-0.157)#3,346
54.490610.330.46(-0.137)#540.48(-0.155)#3,422
55.487350.330.46(-0.135)#550.48(-0.154)#3,505
56.492480.330.46(-0.135)#560.48(-0.153)#3,534
57.498480.330.46(-0.134)#570.48(-0.153)#3,590
58.492510.330.46(-0.134)#580.48(-0.152)#3,594
59.497910.330.46(-0.133)#590.48(-0.152)#3,636
60.498160.330.46(-0.132)#600.48(-0.151)#3,703
61.493250.330.46(-0.131)#610.48(-0.150)#3,784
62.481500.330.46(-0.130)#620.48(-0.149)#3,829
63.498140.330.46(-0.130)#630.48(-0.149)#3,862
64.484380.330.46(-0.130)#640.48(-0.149)#3,874
65.490300.330.46(-0.130)#650.48(-0.148)#3,879
66.493470.340.46(-0.129)#660.48(-0.148)#3,914
67.497100.340.46(-0.129)#670.48(-0.148)#3,924
68.488350.340.46(-0.126)#680.48(-0.144)#4,178
69.494480.340.46(-0.123)#690.48(-0.141)#4,422
70.490340.340.46(-0.121)#700.48(-0.140)#4,504
71.492770.340.46(-0.121)#710.48(-0.140)#4,519
72.496230.340.46(-0.121)#720.48(-0.140)#4,539
73.488410.340.46(-0.120)#730.48(-0.139)#4,584
74.496540.340.46(-0.120)#740.48(-0.138)#4,648
75.490500.340.46(-0.119)#750.48(-0.138)#4,680
76.480020.350.46(-0.119)#760.48(-0.137)#4,713
77.496200.350.46(-0.118)#770.48(-0.137)#4,744
78.488520.350.46(-0.118)#780.48(-0.137)#4,748
79.496960.350.46(-0.118)#790.48(-0.137)#4,760
80.499270.350.46(-0.118)#800.48(-0.136)#4,798
81.484210.350.46(-0.117)#810.48(-0.136)#4,854
82.488810.350.46(-0.116)#820.48(-0.135)#4,895
83.492680.350.46(-0.116)#830.48(-0.135)#4,901
84.487270.350.46(-0.116)#840.48(-0.135)#4,924
85.498760.350.46(-0.116)#850.48(-0.135)#4,932
86.486130.350.46(-0.115)#860.48(-0.134)#4,991
87.490710.350.46(-0.115)#870.48(-0.134)#5,010
88.494050.350.46(-0.114)#880.48(-0.133)#5,107
89.493300.350.46(-0.114)#890.48(-0.133)#5,117
90.497290.350.46(-0.113)#900.48(-0.132)#5,170
91.492410.350.46(-0.113)#910.48(-0.132)#5,201
92.493440.350.46(-0.111)#920.48(-0.130)#5,437
93.481730.350.46(-0.111)#930.48(-0.129)#5,454
94.497690.350.46(-0.111)#940.48(-0.129)#5,458
95.486210.350.46(-0.110)#950.48(-0.128)#5,546
96.498390.350.46(-0.110)#960.48(-0.128)#5,548
97.498340.360.46(-0.109)#970.48(-0.128)#5,600
98.497760.360.46(-0.109)#980.48(-0.128)#5,627
99.492880.360.46(-0.109)#990.48(-0.127)#5,641
100.488570.360.46(-0.109)#1000.48(-0.127)#5,653

Common Questions

What are the Top 10 Zip Codes with the Lowest Inequality / Gini Index in Michigan?
Top 10 Zip Codes with the Lowest Inequality / Gini Index in Michigan are:
#1
0.03
#2
0.08
#3
0.08
#4
0.09
#5
0.10
#6
0.12
#7
0.12
#8
0.13
#9
0.16
#10
0.19
What zip code has the Lowest Inequality / Gini Index in Michigan?
49722 has the Lowest Inequality / Gini Index in Michigan with 0.03.
What is the Inequality / Gini Index in the State of Michigan?
Inequality / Gini Index in Michigan is 0.46.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.