Zip Codes with the Highest Wage/Income Gap (%) in Michigan

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Highest Wage/Income Gap (%)
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 Wage/Income Gap (%) in Michigan

40.0%
100.0%
Zip Codes with the Highest Wage/Income Gap (%) in Michigan Map

Zip Codes with the Highest Wage/Income Gap (%) in Michigan

Zip Code Wage/Income Gap (%) vs State vs National
1. 49826 90.5% 31.6% (+0.589)#1 28.0% (+0.625)#48
2. 49903 90.2% 31.6% (+0.586)#2 28.0% (+0.623)#51
3. 49634 83.3% 31.6% (+0.517)#3 28.0% (+0.553)#92
4. 48190 79.2% 31.6% (+0.476)#4 28.0% (+0.512)#134
5. 49289 75.8% 31.6% (+0.442)#5 28.0% (+0.478)#185
6. 49623 71.6% 31.6% (+0.400)#6 28.0% (+0.437)#310
7. 49283 70.6% 31.6% (+0.390)#7 28.0% (+0.426)#353
8. 49873 68.7% 31.6% (+0.371)#8 28.0% (+0.408)#439
9. 49752 67.6% 31.6% (+0.360)#9 28.0% (+0.396)#502
10. 49061 66.2% 31.6% (+0.346)#10 28.0% (+0.382)#567
11. 48370 64.7% 31.6% (+0.331)#11 28.0% (+0.367)#662
12. 49929 64.6% 31.6% (+0.330)#12 28.0% (+0.367)#663
13. 49915 63.4% 31.6% (+0.318)#13 28.0% (+0.354)#772
14. 48412 63.4% 31.6% (+0.318)#14 28.0% (+0.354)#773
15. 48062 63.3% 31.6% (+0.317)#15 28.0% (+0.353)#782
16. 49322 62.6% 31.6% (+0.310)#16 28.0% (+0.347)#843
17. 49095 62.6% 31.6% (+0.309)#17 28.0% (+0.346)#849
18. 49253 62.4% 31.6% (+0.308)#18 28.0% (+0.344)#864
19. 48306 61.6% 31.6% (+0.300)#19 28.0% (+0.336)#955
20. 49891 60.8% 31.6% (+0.292)#20 28.0% (+0.328)#1,028
21. 49885 60.7% 31.6% (+0.291)#21 28.0% (+0.328)#1,035
22. 48041 60.7% 31.6% (+0.291)#22 28.0% (+0.327)#1,039
23. 48450 60.3% 31.6% (+0.286)#23 28.0% (+0.323)#1,088
24. 48095 60.2% 31.6% (+0.286)#24 28.0% (+0.322)#1,090
25. 48315 59.7% 31.6% (+0.281)#25 28.0% (+0.318)#1,146
26. 48002 59.1% 31.6% (+0.274)#26 28.0% (+0.311)#1,233
27. 49718 59.0% 31.6% (+0.274)#27 28.0% (+0.310)#1,239
28. 48761 58.4% 31.6% (+0.268)#28 28.0% (+0.304)#1,308
29. 49325 58.3% 31.6% (+0.267)#29 28.0% (+0.304)#1,318
30. 49106 58.3% 31.6% (+0.266)#30 28.0% (+0.303)#1,332
31. 48166 58.0% 31.6% (+0.264)#31 28.0% (+0.301)#1,371
32. 48054 57.9% 31.6% (+0.262)#32 28.0% (+0.299)#1,415
33. 49344 57.6% 31.6% (+0.259)#33 28.0% (+0.296)#1,458
34. 48309 57.5% 31.6% (+0.259)#34 28.0% (+0.295)#1,468
35. 48374 57.3% 31.6% (+0.257)#35 28.0% (+0.293)#1,499
36. 48218 57.2% 31.6% (+0.256)#36 28.0% (+0.292)#1,529
37. 49268 57.1% 31.6% (+0.254)#37 28.0% (+0.291)#1,554
38. 49905 56.9% 31.6% (+0.253)#38 28.0% (+0.289)#1,577
39. 49736 56.7% 31.6% (+0.251)#39 28.0% (+0.287)#1,599
40. 49719 56.6% 31.6% (+0.249)#40 28.0% (+0.286)#1,618
41. 48853 56.2% 31.6% (+0.246)#41 28.0% (+0.282)#1,663
42. 49853 56.2% 31.6% (+0.246)#42 28.0% (+0.282)#1,668
43. 49006 56.1% 31.6% (+0.245)#43 28.0% (+0.281)#1,689
44. 49229 55.6% 31.6% (+0.240)#44 28.0% (+0.277)#1,761
45. 48331 55.6% 31.6% (+0.240)#45 28.0% (+0.276)#1,766
46. 49886 55.6% 31.6% (+0.240)#46 28.0% (+0.276)#1,772
47. 48302 55.4% 31.6% (+0.238)#47 28.0% (+0.275)#1,808
48. 49863 55.2% 31.6% (+0.236)#48 28.0% (+0.273)#1,840
49. 49264 55.2% 31.6% (+0.236)#49 28.0% (+0.272)#1,846
50. 49642 55.1% 31.6% (+0.234)#50 28.0% (+0.271)#1,878
51. 49234 54.9% 31.6% (+0.233)#51 28.0% (+0.269)#1,914
52. 48145 54.6% 31.6% (+0.230)#52 28.0% (+0.266)#1,966
53. 49245 54.5% 31.6% (+0.229)#53 28.0% (+0.265)#1,982
54. 48604 54.5% 31.6% (+0.229)#54 28.0% (+0.265)#1,987
55. 48421 54.4% 31.6% (+0.228)#55 28.0% (+0.264)#2,006
56. 48360 54.4% 31.6% (+0.227)#56 28.0% (+0.264)#2,017
57. 49774 54.4% 31.6% (+0.227)#57 28.0% (+0.264)#2,023
58. 48348 54.0% 31.6% (+0.223)#58 28.0% (+0.260)#2,094
59. 49220 53.5% 31.6% (+0.218)#59 28.0% (+0.255)#2,195
60. 48304 53.3% 31.6% (+0.217)#60 28.0% (+0.254)#2,220
61. 49814 53.3% 31.6% (+0.217)#61 28.0% (+0.253)#2,226
62. 49089 53.1% 31.6% (+0.215)#62 28.0% (+0.251)#2,275
63. 49460 53.1% 31.6% (+0.215)#63 28.0% (+0.251)#2,276
64. 49464 53.0% 31.6% (+0.214)#64 28.0% (+0.250)#2,296
65. 49716 52.8% 31.6% (+0.212)#65 28.0% (+0.249)#2,335
66. 48133 52.8% 31.6% (+0.212)#66 28.0% (+0.249)#2,336
67. 49726 52.8% 31.6% (+0.212)#67 28.0% (+0.248)#2,353
68. 49871 52.7% 31.6% (+0.211)#68 28.0% (+0.247)#2,370
69. 48098 52.5% 31.6% (+0.209)#69 28.0% (+0.245)#2,403
70. 49073 52.4% 31.6% (+0.207)#70 28.0% (+0.244)#2,420
71. 49676 52.3% 31.6% (+0.206)#71 28.0% (+0.243)#2,442
72. 49807 52.2% 31.6% (+0.206)#72 28.0% (+0.243)#2,450
73. 48028 52.2% 31.6% (+0.206)#73 28.0% (+0.242)#2,465
74. 48734 52.1% 31.6% (+0.204)#74 28.0% (+0.241)#2,488
75. 48874 52.0% 31.6% (+0.204)#75 28.0% (+0.241)#2,494
76. 48159 51.9% 31.6% (+0.203)#76 28.0% (+0.240)#2,515
77. 48353 51.9% 31.6% (+0.203)#77 28.0% (+0.239)#2,530
78. 49655 51.9% 31.6% (+0.202)#78 28.0% (+0.239)#2,543
79. 48168 51.2% 31.6% (+0.196)#79 28.0% (+0.233)#2,706
80. 48631 51.1% 31.6% (+0.195)#80 28.0% (+0.231)#2,731
81. 49762 51.0% 31.6% (+0.194)#81 28.0% (+0.230)#2,757
82. 49316 50.9% 31.6% (+0.193)#82 28.0% (+0.229)#2,791
83. 48662 50.9% 31.6% (+0.193)#83 28.0% (+0.229)#2,794
84. 48767 50.9% 31.6% (+0.193)#84 28.0% (+0.229)#2,797
85. 48359 50.9% 31.6% (+0.193)#85 28.0% (+0.229)#2,803
86. 49267 50.8% 31.6% (+0.192)#86 28.0% (+0.229)#2,811
87. 48380 50.7% 31.6% (+0.191)#87 28.0% (+0.227)#2,839
88. 49887 50.4% 31.6% (+0.188)#88 28.0% (+0.225)#2,921
89. 48371 50.4% 31.6% (+0.188)#89 28.0% (+0.224)#2,935
90. 48632 50.4% 31.6% (+0.187)#90 28.0% (+0.224)#2,953
91. 48410 50.3% 31.6% (+0.187)#91 28.0% (+0.223)#2,962
92. 49401 50.1% 31.6% (+0.185)#92 28.0% (+0.221)#3,016
93. 48720 50.1% 31.6% (+0.185)#93 28.0% (+0.221)#3,031
94. 48009 50.0% 31.6% (+0.183)#94 28.0% (+0.220)#3,064
95. 48307 49.7% 31.6% (+0.181)#95 28.0% (+0.217)#3,136
96. 48818 49.7% 31.6% (+0.180)#96 28.0% (+0.217)#3,158
97. 49426 49.6% 31.6% (+0.179)#97 28.0% (+0.216)#3,193
98. 48864 49.5% 31.6% (+0.179)#98 28.0% (+0.216)#3,199
99. 49664 49.5% 31.6% (+0.179)#99 28.0% (+0.216)#3,200
100. 49636 49.3% 31.6% (+0.177)#100 28.0% (+0.213)#3,261

Common Questions

What are the Top 10 Zip Codes with the Highest Wage/Income Gap (%) in Michigan?
Top 10 Zip Codes with the Highest Wage/Income Gap (%) in Michigan are:
#1
90.5%
#2
90.2%
#3
83.3%
#4
79.2%
#5
75.8%
#6
71.6%
#7
70.6%
#8
68.7%
#9
67.6%
#10
66.2%
What zip code has the Highest Wage/Income Gap (%) in Michigan?
49826 has the Highest Wage/Income Gap (%) in Michigan with 90.5%.
What is the Wage / Income Gap in Percentage Terms in the State of Michigan?
Wage / Income Gap in Percentage Terms in Michigan is 31.6%.
What is the Wage / Income Gap in Percentage Terms in the United States?
Wage / Income Gap in Percentage Terms in the United States is 28.0%.