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

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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
Indiana
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Comparison Subject

Map of Zip Codes with the Highest Wage/Income Gap ($) in Indiana

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

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

Zip Code Wage/Income Gap ($) vs State vs National
1.47858$0.9464$0.3092(+0.637)#1$0.2798(+0.667)#16
2.47585$0.8595$0.3092(+0.550)#2$0.2798(+0.580)#75
3.47552$0.7608$0.3092(+0.452)#3$0.2798(+0.481)#181
4.47116$0.7497$0.3092(+0.441)#4$0.2798(+0.470)#204
5.46590$0.7231$0.3092(+0.414)#5$0.2798(+0.443)#288
6.47514$0.7121$0.3092(+0.403)#6$0.2798(+0.432)#324
7.46571$0.7013$0.3092(+0.392)#7$0.2798(+0.421)#371
8.46371$0.6942$0.3092(+0.385)#8$0.2798(+0.414)#399
9.47964$0.6887$0.3092(+0.380)#9$0.2798(+0.409)#429
10.46776$0.6874$0.3092(+0.378)#10$0.2798(+0.408)#438
11.46063$0.6843$0.3092(+0.375)#11$0.2798(+0.405)#465
12.47383$0.6760$0.3092(+0.367)#12$0.2798(+0.396)#503
13.46553$0.6719$0.3092(+0.363)#13$0.2798(+0.392)#518
14.46565$0.6680$0.3092(+0.359)#14$0.2798(+0.388)#534
15.46794$0.6630$0.3092(+0.354)#15$0.2798(+0.383)#560
16.46943$0.6592$0.3092(+0.350)#16$0.2798(+0.379)#580
17.46788$0.6521$0.3092(+0.343)#17$0.2798(+0.372)#627
18.46365$0.6397$0.3092(+0.331)#18$0.2798(+0.360)#721
19.47564$0.6359$0.3092(+0.327)#19$0.2798(+0.356)#760
20.47519$0.6329$0.3092(+0.324)#20$0.2798(+0.353)#785
21.46536$0.6270$0.3092(+0.318)#21$0.2798(+0.347)#834
22.46130$0.6264$0.3092(+0.317)#22$0.2798(+0.347)#842
23.47872$0.6264$0.3092(+0.317)#23$0.2798(+0.347)#844
24.47562$0.6262$0.3092(+0.317)#24$0.2798(+0.346)#845
25.47958$0.6161$0.3092(+0.307)#25$0.2798(+0.336)#952
26.47022$0.6153$0.3092(+0.306)#26$0.2798(+0.335)#962
27.47521$0.6144$0.3092(+0.305)#27$0.2798(+0.335)#973
28.47260$0.6065$0.3092(+0.297)#28$0.2798(+0.327)#1,043
29.46392$0.6037$0.3092(+0.295)#29$0.2798(+0.324)#1,075
30.46793$0.5988$0.3092(+0.290)#30$0.2798(+0.319)#1,131
31.47438$0.5977$0.3092(+0.289)#31$0.2798(+0.318)#1,139
32.47125$0.5955$0.3092(+0.286)#32$0.2798(+0.316)#1,168
33.46356$0.5940$0.3092(+0.285)#33$0.2798(+0.314)#1,185
34.47355$0.5890$0.3092(+0.280)#34$0.2798(+0.309)#1,253
35.47860$0.5884$0.3092(+0.279)#35$0.2798(+0.309)#1,262
36.47243$0.5844$0.3092(+0.275)#36$0.2798(+0.305)#1,306
37.46957$0.5805$0.3092(+0.271)#37$0.2798(+0.301)#1,366
38.47917$0.5800$0.3092(+0.271)#38$0.2798(+0.300)#1,380
39.46181$0.5783$0.3092(+0.269)#39$0.2798(+0.298)#1,418
40.46797$0.5717$0.3092(+0.263)#40$0.2798(+0.292)#1,534
41.47354$0.5714$0.3092(+0.262)#41$0.2798(+0.292)#1,545
42.47975$0.5705$0.3092(+0.261)#42$0.2798(+0.291)#1,557
43.47946$0.5704$0.3092(+0.261)#43$0.2798(+0.291)#1,559
44.46974$0.5679$0.3092(+0.259)#44$0.2798(+0.288)#1,590
45.46182$0.5674$0.3092(+0.258)#45$0.2798(+0.288)#1,597
46.47666$0.5660$0.3092(+0.257)#46$0.2798(+0.286)#1,614
47.46932$0.5627$0.3092(+0.254)#47$0.2798(+0.283)#1,656
48.46175$0.5616$0.3092(+0.252)#48$0.2798(+0.282)#1,676
49.47263$0.5610$0.3092(+0.252)#49$0.2798(+0.281)#1,690
50.47164$0.5594$0.3092(+0.250)#50$0.2798(+0.280)#1,719
51.46049$0.5592$0.3092(+0.250)#51$0.2798(+0.279)#1,725
52.47854$0.5589$0.3092(+0.250)#52$0.2798(+0.279)#1,730
53.46165$0.5544$0.3092(+0.245)#53$0.2798(+0.275)#1,805
54.46382$0.5535$0.3092(+0.244)#54$0.2798(+0.274)#1,817
55.46994$0.5533$0.3092(+0.244)#55$0.2798(+0.274)#1,821
56.46374$0.5479$0.3092(+0.239)#56$0.2798(+0.268)#1,930
57.46741$0.5456$0.3092(+0.236)#57$0.2798(+0.266)#1,973
58.47234$0.5438$0.3092(+0.235)#58$0.2798(+0.264)#2,013
59.46121$0.5392$0.3092(+0.230)#59$0.2798(+0.259)#2,104
60.47921$0.5390$0.3092(+0.230)#60$0.2798(+0.259)#2,107
61.46761$0.5361$0.3092(+0.227)#61$0.2798(+0.256)#2,164
62.46135$0.5350$0.3092(+0.226)#62$0.2798(+0.255)#2,183
63.47246$0.5326$0.3092(+0.223)#63$0.2798(+0.253)#2,240
64.46914$0.5325$0.3092(+0.223)#64$0.2798(+0.253)#2,245
65.46310$0.5285$0.3092(+0.219)#65$0.2798(+0.249)#2,334
66.46076$0.5240$0.3092(+0.215)#66$0.2798(+0.244)#2,414
67.46347$0.5204$0.3092(+0.211)#67$0.2798(+0.241)#2,492
68.47522$0.5202$0.3092(+0.211)#68$0.2798(+0.240)#2,496
69.47175$0.5200$0.3092(+0.211)#69$0.2798(+0.240)#2,501
70.47943$0.5196$0.3092(+0.210)#70$0.2798(+0.240)#2,510
71.46913$0.5185$0.3092(+0.209)#71$0.2798(+0.239)#2,544
72.46180$0.5179$0.3092(+0.209)#72$0.2798(+0.238)#2,556
73.46803$0.5172$0.3092(+0.208)#73$0.2798(+0.237)#2,568
74.47527$0.5163$0.3092(+0.207)#74$0.2798(+0.236)#2,590
75.47462$0.5162$0.3092(+0.207)#75$0.2798(+0.236)#2,595
76.46510$0.5161$0.3092(+0.207)#76$0.2798(+0.236)#2,597
77.47369$0.5154$0.3092(+0.206)#77$0.2798(+0.236)#2,621
78.47512$0.5127$0.3092(+0.204)#78$0.2798(+0.233)#2,699
79.46349$0.5107$0.3092(+0.202)#79$0.2798(+0.231)#2,746
80.46172$0.5104$0.3092(+0.201)#80$0.2798(+0.231)#2,753
81.47011$0.5088$0.3092(+0.200)#81$0.2798(+0.229)#2,802
82.46341$0.5043$0.3092(+0.195)#82$0.2798(+0.225)#2,922
83.47598$0.5042$0.3092(+0.195)#83$0.2798(+0.224)#2,925
84.47162$0.5033$0.3092(+0.194)#84$0.2798(+0.223)#2,958
85.46540$0.5024$0.3092(+0.193)#85$0.2798(+0.223)#2,986
86.47557$0.5017$0.3092(+0.193)#86$0.2798(+0.222)#3,005
87.47955$0.5015$0.3092(+0.192)#87$0.2798(+0.222)#3,011
88.47137$0.5009$0.3092(+0.192)#88$0.2798(+0.221)#3,026
89.47441$0.5003$0.3092(+0.191)#89$0.2798(+0.220)#3,046
90.46538$0.4994$0.3092(+0.190)#90$0.2798(+0.220)#3,070
91.46814$0.4981$0.3092(+0.189)#91$0.2798(+0.218)#3,103
92.47231$0.4979$0.3092(+0.189)#92$0.2798(+0.218)#3,109
93.47331$0.4973$0.3092(+0.188)#93$0.2798(+0.217)#3,128
94.47619$0.4971$0.3092(+0.188)#94$0.2798(+0.217)#3,135
95.46065$0.4960$0.3092(+0.187)#95$0.2798(+0.216)#3,178
96.46034$0.4949$0.3092(+0.186)#96$0.2798(+0.215)#3,215
97.46050$0.4947$0.3092(+0.186)#97$0.2798(+0.215)#3,224
98.47837$0.4932$0.3092(+0.184)#98$0.2798(+0.213)#3,260
99.46528$0.4931$0.3092(+0.184)#99$0.2798(+0.213)#3,264
100.46366$0.4925$0.3092(+0.183)#100$0.2798(+0.213)#3,280

Common Questions

What are the Top 10 Zip Codes with the Highest Wage/Income Gap ($) in Indiana?
Top 10 Zip Codes with the Highest Wage/Income Gap ($) in Indiana are:
#1
$0.9464
#2
$0.8595
#3
$0.7608
#4
$0.7497
#5
$0.7231
#6
$0.7121
#7
$0.7013
#8
$0.6942
#9
$0.6887
#10
$0.6874
What zip code has the Highest Wage/Income Gap ($) in Indiana?
47858 has the Highest Wage/Income Gap ($) in Indiana with $0.9464.
What is the Wage / Income Gap in Dollar Terms in the State of Indiana?
Wage / Income Gap in Dollar Terms in Indiana is $0.3092.
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.