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

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Lowest 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
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Comparison Subject

Map of Zip Codes with the Lowest Wage/Income Gap ($) in Michigan

$0.2000
$0.0000
Zip Codes with the Lowest Wage/Income Gap ($) in Michigan Map

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

Zip Code Wage/Income Gap ($) vs State vs National
1.49971$0.0013$0.3163(-0.315)#1$0.2798(-0.279)#36
2.49617$0.0016$0.3163(-0.315)#2$0.2798(-0.278)#47
3.49064$0.0036$0.3163(-0.313)#3$0.2798(-0.276)#95
4.48401$0.0065$0.3163(-0.310)#4$0.2798(-0.273)#166
5.48235$0.0077$0.3163(-0.309)#5$0.2798(-0.272)#201
6.48204$0.0082$0.3163(-0.308)#6$0.2798(-0.272)#213
7.49254$0.0087$0.3163(-0.308)#7$0.2798(-0.271)#224
8.49710$0.0100$0.3163(-0.306)#8$0.2798(-0.270)#251
9.48226$0.0135$0.3163(-0.303)#9$0.2798(-0.266)#341
10.49436$0.0153$0.3163(-0.301)#10$0.2798(-0.265)#389
11.49052$0.0186$0.3163(-0.298)#11$0.2798(-0.261)#468
12.49713$0.0262$0.3163(-0.290)#12$0.2798(-0.254)#675
13.48050$0.0264$0.3163(-0.290)#13$0.2798(-0.253)#680
14.49653$0.0271$0.3163(-0.289)#14$0.2798(-0.253)#692
15.49917$0.0298$0.3163(-0.286)#15$0.2798(-0.250)#767
16.49271$0.0301$0.3163(-0.286)#16$0.2798(-0.250)#773
17.49745$0.0324$0.3163(-0.284)#17$0.2798(-0.247)#839
18.48034$0.0333$0.3163(-0.283)#18$0.2798(-0.246)#868
19.48221$0.0353$0.3163(-0.281)#19$0.2798(-0.244)#925
20.48503$0.0353$0.3163(-0.281)#20$0.2798(-0.244)#926
21.49955$0.0357$0.3163(-0.281)#21$0.2798(-0.244)#945
22.48845$0.0379$0.3163(-0.278)#22$0.2798(-0.242)#1,001
23.49861$0.0392$0.3163(-0.277)#23$0.2798(-0.241)#1,041
24.48131$0.0408$0.3163(-0.275)#24$0.2798(-0.239)#1,097
25.48912$0.0416$0.3163(-0.275)#25$0.2798(-0.238)#1,113
26.48870$0.0439$0.3163(-0.272)#26$0.2798(-0.236)#1,168
27.49613$0.0537$0.3163(-0.263)#27$0.2798(-0.226)#1,386
28.49920$0.0543$0.3163(-0.262)#28$0.2798(-0.226)#1,402
29.49615$0.0548$0.3163(-0.261)#29$0.2798(-0.225)#1,419
30.48225$0.0559$0.3163(-0.260)#30$0.2798(-0.224)#1,454
31.49838$0.0576$0.3163(-0.259)#31$0.2798(-0.222)#1,507
32.48223$0.0583$0.3163(-0.258)#32$0.2798(-0.222)#1,525
33.48505$0.0587$0.3163(-0.258)#33$0.2798(-0.221)#1,537
34.48732$0.0600$0.3163(-0.256)#34$0.2798(-0.220)#1,585
35.49958$0.0606$0.3163(-0.256)#35$0.2798(-0.219)#1,607
36.48341$0.0610$0.3163(-0.255)#36$0.2798(-0.219)#1,616
37.49760$0.0625$0.3163(-0.254)#37$0.2798(-0.217)#1,652
38.49660$0.0629$0.3163(-0.253)#38$0.2798(-0.217)#1,671
39.49304$0.0669$0.3163(-0.249)#39$0.2798(-0.213)#1,783
40.48216$0.0686$0.3163(-0.248)#40$0.2798(-0.211)#1,836
41.49307$0.0686$0.3163(-0.248)#41$0.2798(-0.211)#1,838
42.48636$0.0702$0.3163(-0.246)#42$0.2798(-0.210)#1,885
43.49748$0.0707$0.3163(-0.246)#43$0.2798(-0.209)#1,902
44.48219$0.0708$0.3163(-0.245)#44$0.2798(-0.209)#1,904
45.49013$0.0714$0.3163(-0.245)#45$0.2798(-0.208)#1,932
46.49347$0.0777$0.3163(-0.239)#46$0.2798(-0.202)#2,123
47.48237$0.0800$0.3163(-0.236)#47$0.2798(-0.200)#2,182
48.49066$0.0805$0.3163(-0.236)#48$0.2798(-0.199)#2,195
49.49715$0.0878$0.3163(-0.228)#49$0.2798(-0.192)#2,409
50.48652$0.0882$0.3163(-0.228)#50$0.2798(-0.192)#2,419
51.49326$0.0892$0.3163(-0.227)#51$0.2798(-0.191)#2,459
52.48847$0.0901$0.3163(-0.226)#52$0.2798(-0.190)#2,487
53.48228$0.0905$0.3163(-0.226)#53$0.2798(-0.189)#2,507
54.49912$0.0910$0.3163(-0.225)#54$0.2798(-0.189)#2,516
55.48701$0.0913$0.3163(-0.225)#55$0.2798(-0.188)#2,529
56.48217$0.0920$0.3163(-0.224)#56$0.2798(-0.188)#2,550
57.48015$0.0929$0.3163(-0.223)#57$0.2798(-0.187)#2,573
58.49272$0.0940$0.3163(-0.222)#58$0.2798(-0.186)#2,615
59.48075$0.0951$0.3163(-0.221)#59$0.2798(-0.185)#2,666
60.48072$0.0972$0.3163(-0.219)#60$0.2798(-0.183)#2,719
61.49724$0.0996$0.3163(-0.217)#61$0.2798(-0.180)#2,797
62.48504$0.1003$0.3163(-0.216)#62$0.2798(-0.179)#2,826
63.49735$0.1005$0.3163(-0.216)#63$0.2798(-0.179)#2,830
64.48342$0.1032$0.3163(-0.213)#64$0.2798(-0.177)#2,940
65.49440$0.1046$0.3163(-0.212)#65$0.2798(-0.175)#2,993
66.49930$0.1054$0.3163(-0.211)#66$0.2798(-0.174)#3,019
67.48449$0.1057$0.3163(-0.211)#67$0.2798(-0.174)#3,030
68.49053$0.1066$0.3163(-0.210)#68$0.2798(-0.173)#3,058
69.49616$0.1071$0.3163(-0.209)#69$0.2798(-0.173)#3,077
70.48607$0.1072$0.3163(-0.209)#70$0.2798(-0.173)#3,080
71.49901$0.1083$0.3163(-0.208)#71$0.2798(-0.172)#3,114
72.48109$0.1093$0.3163(-0.207)#72$0.2798(-0.170)#3,151
73.49629$0.1111$0.3163(-0.205)#73$0.2798(-0.169)#3,207
74.48721$0.1169$0.3163(-0.199)#74$0.2798(-0.163)#3,402
75.49101$0.1191$0.3163(-0.197)#75$0.2798(-0.161)#3,474
76.48201$0.1200$0.3163(-0.196)#76$0.2798(-0.160)#3,512
77.48747$0.1204$0.3163(-0.196)#77$0.2798(-0.159)#3,522
78.49461$0.1205$0.3163(-0.196)#78$0.2798(-0.159)#3,529
79.48468$0.1216$0.3163(-0.195)#79$0.2798(-0.158)#3,576
80.48851$0.1220$0.3163(-0.194)#80$0.2798(-0.158)#3,592
81.49686$0.1227$0.3163(-0.194)#81$0.2798(-0.157)#3,620
82.49969$0.1235$0.3163(-0.193)#82$0.2798(-0.156)#3,643
83.49619$0.1263$0.3163(-0.190)#83$0.2798(-0.154)#3,753
84.49682$0.1267$0.3163(-0.190)#84$0.2798(-0.153)#3,775
85.49548$0.1280$0.3163(-0.188)#85$0.2798(-0.152)#3,811
86.49279$0.1286$0.3163(-0.188)#86$0.2798(-0.151)#3,836
87.49450$0.1286$0.3163(-0.188)#87$0.2798(-0.151)#3,837
88.48756$0.1287$0.3163(-0.188)#88$0.2798(-0.151)#3,839
89.49744$0.1290$0.3163(-0.187)#89$0.2798(-0.151)#3,850
90.49072$0.1311$0.3163(-0.185)#90$0.2798(-0.149)#3,938
91.49028$0.1315$0.3163(-0.185)#91$0.2798(-0.148)#3,956
92.48043$0.1324$0.3163(-0.184)#92$0.2798(-0.147)#3,992
93.49329$0.1408$0.3163(-0.175)#93$0.2798(-0.139)#4,289
94.48917$0.1416$0.3163(-0.175)#94$0.2798(-0.138)#4,331
95.48811$0.1456$0.3163(-0.171)#95$0.2798(-0.134)#4,502
96.49622$0.1462$0.3163(-0.170)#96$0.2798(-0.134)#4,521
97.49650$0.1463$0.3163(-0.170)#97$0.2798(-0.133)#4,525
98.48740$0.1495$0.3163(-0.167)#98$0.2798(-0.130)#4,633
99.49030$0.1516$0.3163(-0.165)#99$0.2798(-0.128)#4,736
100.49056$0.1558$0.3163(-0.160)#100$0.2798(-0.124)#4,912

Common Questions

What are the Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in Michigan?
Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in Michigan are:
#1
$0.0013
#2
$0.0016
#3
$0.0036
#4
$0.0065
#5
$0.0077
#6
$0.0082
#7
$0.0087
#8
$0.0100
#9
$0.0135
#10
$0.0153
What zip code has the Lowest Wage/Income Gap ($) in Michigan?
49971 has the Lowest Wage/Income Gap ($) in Michigan with $0.0013.
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.