Zip Codes with the Highest Inequality / Gini Index in Michigan

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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
Michigan
Compare Zip Codes
Comparison Subject

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

0.00
0.80
Zip Codes with the Highest Inequality / Gini Index in Michigan Map

Zip Codes with the Highest Inequality / Gini Index in Michigan

Zip Code Inequality / Gini Index vs State vs National
1.481090.800.46(+0.335)#10.48(+0.316)#8
2.487430.750.46(+0.283)#20.48(+0.264)#18
3.497520.710.46(+0.248)#30.48(+0.230)#45
4.484400.690.46(+0.228)#40.48(+0.210)#65
5.482010.650.46(+0.182)#50.48(+0.163)#154
6.491160.650.46(+0.181)#60.48(+0.162)#155
7.492610.620.46(+0.152)#70.48(+0.134)#261
8.482080.620.46(+0.152)#80.48(+0.133)#264
9.488770.610.46(+0.150)#90.48(+0.131)#273
10.499220.590.46(+0.130)#100.48(+0.111)#424
11.481040.590.46(+0.125)#110.48(+0.107)#464
12.488230.590.46(+0.122)#120.48(+0.104)#501
13.490600.580.46(+0.112)#130.48(+0.093)#618
14.491300.570.46(+0.105)#140.48(+0.086)#737
15.482180.570.46(+0.103)#150.48(+0.085)#757
16.481200.550.46(+0.090)#160.48(+0.072)#1,046
17.482150.550.46(+0.090)#170.48(+0.071)#1,049
18.482020.550.46(+0.088)#180.48(+0.069)#1,098
19.491170.550.46(+0.086)#190.48(+0.068)#1,138
20.481050.550.46(+0.085)#200.48(+0.066)#1,166
21.482140.550.46(+0.082)#210.48(+0.063)#1,243
22.497450.540.46(+0.080)#220.48(+0.061)#1,306
23.499310.540.46(+0.078)#230.48(+0.060)#1,340
24.488890.540.46(+0.077)#240.48(+0.058)#1,406
25.482060.540.46(+0.076)#250.48(+0.057)#1,438
26.496890.540.46(+0.075)#260.48(+0.056)#1,454
27.490220.540.46(+0.075)#270.48(+0.056)#1,463
28.496130.540.46(+0.072)#280.48(+0.053)#1,563
29.482030.540.46(+0.072)#290.48(+0.053)#1,565
30.486070.530.46(+0.064)#300.48(+0.046)#1,836
31.490060.530.46(+0.064)#310.48(+0.045)#1,840
32.487010.530.46(+0.063)#320.48(+0.045)#1,869
33.482040.530.46(+0.062)#330.48(+0.044)#1,913
34.482260.530.46(+0.061)#340.48(+0.043)#1,949
35.499680.520.46(+0.060)#350.48(+0.041)#2,046
36.496420.520.46(+0.060)#360.48(+0.041)#2,054
37.482270.520.46(+0.059)#370.48(+0.040)#2,088
38.480090.520.46(+0.059)#380.48(+0.040)#2,089
39.482160.520.46(+0.059)#390.48(+0.040)#2,118
40.496300.520.46(+0.054)#400.48(+0.035)#2,356
41.497960.520.46(+0.052)#410.48(+0.034)#2,420
42.483040.520.46(+0.051)#420.48(+0.033)#2,467
43.496840.520.46(+0.051)#430.48(+0.032)#2,480
44.484690.510.46(+0.051)#440.48(+0.032)#2,513
45.483020.510.46(+0.050)#450.48(+0.031)#2,542
46.496750.510.46(+0.049)#460.48(+0.030)#2,593
47.482380.510.46(+0.048)#470.48(+0.029)#2,653
48.481410.510.46(+0.046)#480.48(+0.027)#2,813
49.486330.510.46(+0.046)#490.48(+0.027)#2,822
50.486320.510.46(+0.045)#500.48(+0.027)#2,823
51.488580.510.46(+0.045)#510.48(+0.026)#2,868
52.482130.510.46(+0.044)#520.48(+0.026)#2,880
53.499520.510.46(+0.044)#530.48(+0.025)#2,924
54.482280.510.46(+0.044)#540.48(+0.025)#2,925
55.482070.510.46(+0.043)#550.48(+0.025)#2,948
56.483010.510.46(+0.042)#560.48(+0.023)#3,076
57.492020.500.46(+0.040)#570.48(+0.022)#3,164
58.483230.500.46(+0.040)#580.48(+0.021)#3,204
59.487280.500.46(+0.040)#590.48(+0.021)#3,227
60.485030.500.46(+0.039)#600.48(+0.020)#3,284
61.496160.500.46(+0.038)#610.48(+0.019)#3,371
62.499630.500.46(+0.037)#620.48(+0.018)#3,420
63.490950.500.46(+0.036)#630.48(+0.017)#3,474
64.483200.500.46(+0.034)#640.48(+0.016)#3,609
65.493090.500.46(+0.034)#650.48(+0.015)#3,623
66.484580.500.46(+0.034)#660.48(+0.015)#3,652
67.496360.500.46(+0.034)#670.48(+0.015)#3,659
68.483280.500.46(+0.033)#680.48(+0.015)#3,686
69.495460.500.46(+0.033)#690.48(+0.014)#3,702
70.481790.500.46(+0.032)#700.48(+0.013)#3,806
71.491250.490.46(+0.031)#710.48(+0.012)#3,890
72.486510.490.46(+0.030)#720.48(+0.012)#3,897
73.497770.490.46(+0.030)#730.48(+0.011)#3,943
74.497190.490.46(+0.030)#740.48(+0.011)#3,974
75.498640.490.46(+0.030)#750.48(+0.011)#3,983
76.481260.490.46(+0.029)#760.48(+0.010)#4,012
77.497600.490.46(+0.029)#770.48(+0.010)#4,056
78.482090.490.46(+0.028)#780.48(+0.010)#4,083
79.490080.490.46(+0.028)#790.48(+0.009)#4,110
80.490070.490.46(+0.028)#800.48(+0.009)#4,135
81.496270.490.46(+0.027)#810.48(+0.009)#4,174
82.499380.490.46(+0.027)#820.48(+0.008)#4,215
83.491280.490.46(+0.026)#830.48(+0.008)#4,262
84.492300.490.46(+0.025)#840.48(+0.007)#4,370
85.484670.490.46(+0.025)#850.48(+0.006)#4,410
86.497400.490.46(+0.024)#860.48(+0.006)#4,448
87.486030.490.46(+0.023)#870.48(+0.004)#4,565
88.483420.490.46(+0.023)#880.48(+0.004)#4,598
89.481080.480.46(+0.021)#890.48(+0.002)#4,774
90.497200.480.46(+0.020)#900.48(+0.002)#4,811
91.490470.480.46(+0.020)#910.48(+0.001)#4,872
92.495250.480.46(+0.020)#920.48(+0.001)#4,889
93.485050.480.46(+0.020)#930.48(+0.001)#4,893
94.486570.480.46(+0.019)#940.48(+0.001)#4,939
95.490900.480.46(+0.019)#950.48(-0.000)#5,043
96.481670.480.46(+0.018)#960.48(-0.000)#5,061
97.486380.480.46(+0.017)#970.48(-0.001)#5,173
98.487080.480.46(+0.017)#980.48(-0.002)#5,229
99.482210.480.46(+0.016)#990.48(-0.003)#5,280
100.499420.480.46(+0.016)#1000.48(-0.003)#5,375

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Michigan?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Michigan are:
#1
0.80
#2
0.75
#3
0.71
#4
0.69
#5
0.65
#6
0.65
#7
0.62
#8
0.62
#9
0.61
#10
0.59
What zip code has the Highest Inequality / Gini Index in Michigan?
48109 has the Highest Inequality / Gini Index in Michigan with 0.80.
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.