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

RELATED REPORTS & OPTIONS

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

$0.0000
$1.0000
Zip Codes with the Highest Wage/Income Gap ($) in Michigan Map

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

Zip Code Wage/Income Gap ($) vs State vs National
1.49826$0.9048$0.3163(+0.589)#1$0.2798(+0.625)#48
2.49903$0.9025$0.3163(+0.586)#2$0.2798(+0.623)#51
3.49634$0.8332$0.3163(+0.517)#3$0.2798(+0.553)#92
4.48190$0.7923$0.3163(+0.476)#4$0.2798(+0.512)#134
5.49289$0.7581$0.3163(+0.442)#5$0.2798(+0.478)#185
6.49623$0.7165$0.3163(+0.400)#6$0.2798(+0.437)#310
7.49283$0.7059$0.3163(+0.390)#7$0.2798(+0.426)#353
8.49873$0.6874$0.3163(+0.371)#8$0.2798(+0.408)#439
9.49752$0.6761$0.3163(+0.360)#9$0.2798(+0.396)#502
10.49061$0.6620$0.3163(+0.346)#10$0.2798(+0.382)#567
11.48370$0.6470$0.3163(+0.331)#11$0.2798(+0.367)#662
12.49929$0.6465$0.3163(+0.330)#12$0.2798(+0.367)#663
13.49915$0.6343$0.3163(+0.318)#13$0.2798(+0.354)#772
14.48412$0.6341$0.3163(+0.318)#14$0.2798(+0.354)#773
15.48062$0.6332$0.3163(+0.317)#15$0.2798(+0.353)#782
16.49322$0.6264$0.3163(+0.310)#16$0.2798(+0.347)#843
17.49095$0.6258$0.3163(+0.309)#17$0.2798(+0.346)#849
18.49253$0.6242$0.3163(+0.308)#18$0.2798(+0.344)#864
19.48306$0.6160$0.3163(+0.300)#19$0.2798(+0.336)#955
20.49891$0.6081$0.3163(+0.292)#20$0.2798(+0.328)#1,028
21.49885$0.6073$0.3163(+0.291)#21$0.2798(+0.328)#1,035
22.48041$0.6069$0.3163(+0.291)#22$0.2798(+0.327)#1,039
23.48450$0.6026$0.3163(+0.286)#23$0.2798(+0.323)#1,088
24.48095$0.6022$0.3163(+0.286)#24$0.2798(+0.322)#1,090
25.48315$0.5974$0.3163(+0.281)#25$0.2798(+0.318)#1,146
26.48002$0.5905$0.3163(+0.274)#26$0.2798(+0.311)#1,233
27.49718$0.5902$0.3163(+0.274)#27$0.2798(+0.310)#1,239
28.48761$0.5843$0.3163(+0.268)#28$0.2798(+0.304)#1,308
29.49325$0.5835$0.3163(+0.267)#29$0.2798(+0.304)#1,318
30.49106$0.5825$0.3163(+0.266)#30$0.2798(+0.303)#1,332
31.48166$0.5804$0.3163(+0.264)#31$0.2798(+0.301)#1,371
32.48054$0.5785$0.3163(+0.262)#32$0.2798(+0.299)#1,415
33.49344$0.5755$0.3163(+0.259)#33$0.2798(+0.296)#1,458
34.48309$0.5751$0.3163(+0.259)#34$0.2798(+0.295)#1,468
35.48374$0.5733$0.3163(+0.257)#35$0.2798(+0.293)#1,499
36.48218$0.5719$0.3163(+0.256)#36$0.2798(+0.292)#1,529
37.49268$0.5707$0.3163(+0.254)#37$0.2798(+0.291)#1,554
38.49905$0.5689$0.3163(+0.253)#38$0.2798(+0.289)#1,577
39.49736$0.5673$0.3163(+0.251)#39$0.2798(+0.287)#1,599
40.49719$0.5657$0.3163(+0.249)#40$0.2798(+0.286)#1,618
41.48853$0.5621$0.3163(+0.246)#41$0.2798(+0.282)#1,663
42.49853$0.5618$0.3163(+0.246)#42$0.2798(+0.282)#1,668
43.49006$0.5612$0.3163(+0.245)#43$0.2798(+0.281)#1,689
44.49229$0.5565$0.3163(+0.240)#44$0.2798(+0.277)#1,761
45.48331$0.5563$0.3163(+0.240)#45$0.2798(+0.276)#1,766
46.49886$0.5560$0.3163(+0.240)#46$0.2798(+0.276)#1,772
47.48302$0.5543$0.3163(+0.238)#47$0.2798(+0.275)#1,808
48.49863$0.5523$0.3163(+0.236)#48$0.2798(+0.273)#1,840
49.49264$0.5519$0.3163(+0.236)#49$0.2798(+0.272)#1,846
50.49642$0.5506$0.3163(+0.234)#50$0.2798(+0.271)#1,878
51.49234$0.5489$0.3163(+0.233)#51$0.2798(+0.269)#1,914
52.48145$0.5460$0.3163(+0.230)#52$0.2798(+0.266)#1,966
53.49245$0.5453$0.3163(+0.229)#53$0.2798(+0.265)#1,982
54.48604$0.5451$0.3163(+0.229)#54$0.2798(+0.265)#1,987
55.48421$0.5442$0.3163(+0.228)#55$0.2798(+0.264)#2,006
56.48360$0.5437$0.3163(+0.227)#56$0.2798(+0.264)#2,017
57.49774$0.5435$0.3163(+0.227)#57$0.2798(+0.264)#2,023
58.48348$0.5396$0.3163(+0.223)#58$0.2798(+0.260)#2,094
59.49220$0.5345$0.3163(+0.218)#59$0.2798(+0.255)#2,195
60.48304$0.5334$0.3163(+0.217)#60$0.2798(+0.254)#2,220
61.49814$0.5333$0.3163(+0.217)#61$0.2798(+0.253)#2,226
62.49089$0.5311$0.3163(+0.215)#62$0.2798(+0.251)#2,275
63.49460$0.5311$0.3163(+0.215)#63$0.2798(+0.251)#2,276
64.49464$0.5302$0.3163(+0.214)#64$0.2798(+0.250)#2,296
65.49716$0.5284$0.3163(+0.212)#65$0.2798(+0.249)#2,335
66.48133$0.5284$0.3163(+0.212)#66$0.2798(+0.249)#2,336
67.49726$0.5278$0.3163(+0.212)#67$0.2798(+0.248)#2,353
68.49871$0.5270$0.3163(+0.211)#68$0.2798(+0.247)#2,370
69.48098$0.5249$0.3163(+0.209)#69$0.2798(+0.245)#2,403
70.49073$0.5238$0.3163(+0.207)#70$0.2798(+0.244)#2,420
71.49676$0.5227$0.3163(+0.206)#71$0.2798(+0.243)#2,442
72.49807$0.5224$0.3163(+0.206)#72$0.2798(+0.243)#2,450
73.48028$0.5218$0.3163(+0.206)#73$0.2798(+0.242)#2,465
74.48734$0.5208$0.3163(+0.204)#74$0.2798(+0.241)#2,488
75.48874$0.5204$0.3163(+0.204)#75$0.2798(+0.241)#2,494
76.48159$0.5193$0.3163(+0.203)#76$0.2798(+0.240)#2,515
77.48353$0.5189$0.3163(+0.203)#77$0.2798(+0.239)#2,530
78.49655$0.5185$0.3163(+0.202)#78$0.2798(+0.239)#2,543
79.48168$0.5124$0.3163(+0.196)#79$0.2798(+0.233)#2,706
80.48631$0.5112$0.3163(+0.195)#80$0.2798(+0.231)#2,731
81.49762$0.5102$0.3163(+0.194)#81$0.2798(+0.230)#2,757
82.49316$0.5091$0.3163(+0.193)#82$0.2798(+0.229)#2,791
83.48662$0.5090$0.3163(+0.193)#83$0.2798(+0.229)#2,794
84.48767$0.5089$0.3163(+0.193)#84$0.2798(+0.229)#2,797
85.48359$0.5088$0.3163(+0.193)#85$0.2798(+0.229)#2,803
86.49267$0.5084$0.3163(+0.192)#86$0.2798(+0.229)#2,811
87.48380$0.5073$0.3163(+0.191)#87$0.2798(+0.227)#2,839
88.49887$0.5043$0.3163(+0.188)#88$0.2798(+0.225)#2,921
89.48371$0.5039$0.3163(+0.188)#89$0.2798(+0.224)#2,935
90.48632$0.5036$0.3163(+0.187)#90$0.2798(+0.224)#2,953
91.48410$0.5032$0.3163(+0.187)#91$0.2798(+0.223)#2,962
92.49401$0.5012$0.3163(+0.185)#92$0.2798(+0.221)#3,016
93.48720$0.5008$0.3163(+0.185)#93$0.2798(+0.221)#3,031
94.48009$0.4995$0.3163(+0.183)#94$0.2798(+0.220)#3,064
95.48307$0.4971$0.3163(+0.181)#95$0.2798(+0.217)#3,136
96.48818$0.4966$0.3163(+0.180)#96$0.2798(+0.217)#3,158
97.49426$0.4956$0.3163(+0.179)#97$0.2798(+0.216)#3,193
98.48864$0.4955$0.3163(+0.179)#98$0.2798(+0.216)#3,199
99.49664$0.4955$0.3163(+0.179)#99$0.2798(+0.216)#3,200
100.49636$0.4932$0.3163(+0.177)#100$0.2798(+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
$0.9048
#2
$0.9025
#3
$0.8332
#4
$0.7923
#5
$0.7581
#6
$0.7165
#7
$0.7059
#8
$0.6874
#9
$0.6761
#10
$0.6620
What zip code has the Highest Wage/Income Gap ($) in Michigan?
49826 has the Highest Wage/Income Gap ($) in Michigan with $0.9048.
What is the Wage / Income Gap in Dollar Terms in the State of Michigan?
Wage / Income Gap in Dollar Terms in Michigan is $0.3163.
What is the Wage / Income Gap in Dollar Terms in the United States?
Wage / Income Gap in Dollar Terms in the United States is $0.2798.