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

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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
Ohio
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Comparison Subject

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

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

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

Zip Code Wage/Income Gap ($) vs State vs National
1.43722$0.9492$0.2896(+0.660)#1$0.2798(+0.669)#14
2.45646$0.9125$0.2896(+0.623)#2$0.2798(+0.633)#42
3.45783$0.8360$0.2896(+0.546)#3$0.2798(+0.556)#91
4.43768$0.8247$0.2896(+0.535)#4$0.2798(+0.545)#101
5.43946$0.7550$0.2896(+0.465)#5$0.2798(+0.475)#194
6.45776$0.7470$0.2896(+0.457)#6$0.2798(+0.467)#211
7.45851$0.7426$0.2896(+0.453)#7$0.2798(+0.463)#222
8.44040$0.7084$0.2896(+0.419)#8$0.2798(+0.429)#340
9.44606$0.7075$0.2896(+0.418)#9$0.2798(+0.428)#344
10.43345$0.7000$0.2896(+0.410)#10$0.2798(+0.420)#375
11.43010$0.6904$0.2896(+0.401)#11$0.2798(+0.411)#418
12.44625$0.6886$0.2896(+0.399)#12$0.2798(+0.409)#430
13.44693$0.6809$0.2896(+0.391)#13$0.2798(+0.401)#483
14.45888$0.6796$0.2896(+0.390)#14$0.2798(+0.400)#486
15.44633$0.6767$0.2896(+0.387)#15$0.2798(+0.397)#498
16.43926$0.6751$0.2896(+0.385)#16$0.2798(+0.395)#508
17.45810$0.6610$0.2896(+0.371)#17$0.2798(+0.381)#571
18.43150$0.6508$0.2896(+0.361)#18$0.2798(+0.371)#641
19.43973$0.6447$0.2896(+0.355)#19$0.2798(+0.365)#676
20.45808$0.6419$0.2896(+0.352)#20$0.2798(+0.362)#694
21.44681$0.6403$0.2896(+0.351)#21$0.2798(+0.360)#714
22.45156$0.6372$0.2896(+0.348)#22$0.2798(+0.357)#742
23.45316$0.6372$0.2896(+0.348)#23$0.2798(+0.357)#744
24.45389$0.6348$0.2896(+0.345)#24$0.2798(+0.355)#766
25.43142$0.6316$0.2896(+0.342)#25$0.2798(+0.352)#791
26.43948$0.6312$0.2896(+0.342)#26$0.2798(+0.351)#795
27.45469$0.6309$0.2896(+0.341)#27$0.2798(+0.351)#797
28.43732$0.6258$0.2896(+0.336)#28$0.2798(+0.346)#848
29.43713$0.6233$0.2896(+0.334)#29$0.2798(+0.343)#874
30.45828$0.6200$0.2896(+0.330)#30$0.2798(+0.340)#921
31.43843$0.6194$0.2896(+0.330)#31$0.2798(+0.340)#928
32.45620$0.6180$0.2896(+0.328)#32$0.2798(+0.338)#938
33.43430$0.6106$0.2896(+0.321)#33$0.2798(+0.331)#1,001
34.43915$0.6099$0.2896(+0.320)#34$0.2798(+0.330)#1,010
35.45360$0.6075$0.2896(+0.318)#35$0.2798(+0.328)#1,033
36.43445$0.6071$0.2896(+0.317)#36$0.2798(+0.327)#1,037
37.43077$0.6049$0.2896(+0.315)#37$0.2798(+0.325)#1,055
38.43112$0.6046$0.2896(+0.315)#38$0.2798(+0.325)#1,061
39.45381$0.6017$0.2896(+0.312)#39$0.2798(+0.322)#1,094
40.44430$0.5998$0.2896(+0.310)#40$0.2798(+0.320)#1,117
41.45613$0.5998$0.2896(+0.310)#41$0.2798(+0.320)#1,118
42.44689$0.5996$0.2896(+0.310)#42$0.2798(+0.320)#1,121
43.45766$0.5993$0.2896(+0.310)#43$0.2798(+0.319)#1,123
44.43464$0.5979$0.2896(+0.308)#44$0.2798(+0.318)#1,137
45.43981$0.5926$0.2896(+0.303)#45$0.2798(+0.313)#1,204
46.43504$0.5918$0.2896(+0.302)#46$0.2798(+0.312)#1,217
47.45171$0.5918$0.2896(+0.302)#47$0.2798(+0.312)#1,218
48.43824$0.5893$0.2896(+0.300)#48$0.2798(+0.309)#1,250
49.44234$0.5855$0.2896(+0.296)#49$0.2798(+0.306)#1,296
50.43720$0.5837$0.2896(+0.294)#50$0.2798(+0.304)#1,314
51.45855$0.5819$0.2896(+0.292)#51$0.2798(+0.302)#1,343
52.43350$0.5797$0.2896(+0.290)#52$0.2798(+0.300)#1,387
53.45146$0.5756$0.2896(+0.286)#53$0.2798(+0.296)#1,456
54.43521$0.5754$0.2896(+0.286)#54$0.2798(+0.296)#1,461
55.44843$0.5749$0.2896(+0.285)#55$0.2798(+0.295)#1,471
56.45370$0.5747$0.2896(+0.285)#56$0.2798(+0.295)#1,473
57.43968$0.5745$0.2896(+0.285)#57$0.2798(+0.295)#1,475
58.45388$0.5739$0.2896(+0.284)#58$0.2798(+0.294)#1,485
59.45207$0.5716$0.2896(+0.282)#59$0.2798(+0.292)#1,538
60.43619$0.5687$0.2896(+0.279)#60$0.2798(+0.289)#1,580
61.43501$0.5683$0.2896(+0.279)#61$0.2798(+0.288)#1,586
62.44062$0.5683$0.2896(+0.279)#62$0.2798(+0.288)#1,587
63.45152$0.5645$0.2896(+0.275)#63$0.2798(+0.285)#1,634
64.44429$0.5637$0.2896(+0.274)#64$0.2798(+0.284)#1,643
65.43962$0.5633$0.2896(+0.274)#65$0.2798(+0.283)#1,650
66.44656$0.5621$0.2896(+0.273)#66$0.2798(+0.282)#1,662
67.43101$0.5607$0.2896(+0.271)#67$0.2798(+0.281)#1,696
68.43416$0.5596$0.2896(+0.270)#68$0.2798(+0.280)#1,716
69.43023$0.5577$0.2896(+0.268)#69$0.2798(+0.278)#1,746
70.45218$0.5558$0.2896(+0.266)#70$0.2798(+0.276)#1,778
71.44003$0.5513$0.2896(+0.262)#71$0.2798(+0.271)#1,860
72.44236$0.5507$0.2896(+0.261)#72$0.2798(+0.271)#1,876
73.45694$0.5493$0.2896(+0.260)#73$0.2798(+0.269)#1,904
74.45337$0.5481$0.2896(+0.258)#74$0.2798(+0.268)#1,926
75.43067$0.5460$0.2896(+0.256)#75$0.2798(+0.266)#1,963
76.45833$0.5452$0.2896(+0.256)#76$0.2798(+0.265)#1,986
77.44889$0.5438$0.2896(+0.254)#77$0.2798(+0.264)#2,014
78.45860$0.5436$0.2896(+0.254)#78$0.2798(+0.264)#2,022
79.44403$0.5428$0.2896(+0.253)#79$0.2798(+0.263)#2,044
80.45336$0.5422$0.2896(+0.253)#80$0.2798(+0.262)#2,048
81.44627$0.5405$0.2896(+0.251)#81$0.2798(+0.261)#2,080
82.45346$0.5402$0.2896(+0.251)#82$0.2798(+0.260)#2,086
83.44253$0.5364$0.2896(+0.247)#83$0.2798(+0.257)#2,156
84.45814$0.5354$0.2896(+0.246)#84$0.2798(+0.256)#2,177
85.45621$0.5350$0.2896(+0.245)#85$0.2798(+0.255)#2,182
86.44609$0.5348$0.2896(+0.245)#86$0.2798(+0.255)#2,187
87.43061$0.5338$0.2896(+0.244)#87$0.2798(+0.254)#2,212
88.43535$0.5329$0.2896(+0.243)#88$0.2798(+0.253)#2,232
89.44618$0.5327$0.2896(+0.243)#89$0.2798(+0.253)#2,238
90.45849$0.5317$0.2896(+0.242)#90$0.2798(+0.252)#2,263
91.43939$0.5317$0.2896(+0.242)#91$0.2798(+0.252)#2,264
92.45243$0.5300$0.2896(+0.240)#92$0.2798(+0.250)#2,303
93.44048$0.5292$0.2896(+0.240)#93$0.2798(+0.249)#2,321
94.43107$0.5288$0.2896(+0.239)#94$0.2798(+0.249)#2,326
95.43804$0.5264$0.2896(+0.237)#95$0.2798(+0.247)#2,377
96.43716$0.5234$0.2896(+0.234)#96$0.2798(+0.244)#2,427
97.45338$0.5232$0.2896(+0.234)#97$0.2798(+0.243)#2,433
98.44230$0.5198$0.2896(+0.230)#98$0.2798(+0.240)#2,504
99.45318$0.5189$0.2896(+0.229)#99$0.2798(+0.239)#2,527
100.44491$0.5185$0.2896(+0.229)#100$0.2798(+0.239)#2,541

Common Questions

What are the Top 10 Zip Codes with the Highest Wage/Income Gap ($) in Ohio?
Top 10 Zip Codes with the Highest Wage/Income Gap ($) in Ohio are:
#1
$0.9492
#2
$0.9125
#3
$0.8360
#4
$0.8247
#5
$0.7550
#6
$0.7470
#7
$0.7426
#8
$0.7084
#9
$0.7075
#10
$0.7000
What zip code has the Highest Wage/Income Gap ($) in Ohio?
43722 has the Highest Wage/Income Gap ($) in Ohio with $0.9492.
What is the Wage / Income Gap in Dollar Terms in the State of Ohio?
Wage / Income Gap in Dollar Terms in Ohio is $0.2896.
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.