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

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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
Ohio
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Comparison Subject

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

$0.1500
$0.0000
Zip Codes with the Lowest Wage/Income Gap ($) in Ohio Map

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

Zip Code Wage/Income Gap ($) vs State vs National
1.43230$0.0001$0.2896(-0.289)#1$0.2798(-0.280)#7
2.43811$0.0036$0.2896(-0.286)#2$0.2798(-0.276)#97
3.45853$0.0123$0.2896(-0.277)#3$0.2798(-0.267)#308
4.45232$0.0124$0.2896(-0.277)#4$0.2798(-0.267)#312
5.45784$0.0157$0.2896(-0.274)#5$0.2798(-0.264)#399
6.43201$0.0181$0.2896(-0.272)#6$0.2798(-0.262)#452
7.43206$0.0207$0.2896(-0.269)#7$0.2798(-0.259)#524
8.44455$0.0211$0.2896(-0.268)#8$0.2798(-0.259)#536
9.44120$0.0222$0.2896(-0.267)#9$0.2798(-0.258)#568
10.43144$0.0230$0.2896(-0.267)#10$0.2798(-0.257)#585
11.44112$0.0231$0.2896(-0.267)#11$0.2798(-0.257)#586
12.45435$0.0231$0.2896(-0.267)#12$0.2798(-0.257)#589
13.44243$0.0234$0.2896(-0.266)#13$0.2798(-0.256)#598
14.43212$0.0251$0.2896(-0.264)#14$0.2798(-0.255)#645
15.43557$0.0272$0.2896(-0.262)#15$0.2798(-0.253)#693
16.44704$0.0273$0.2896(-0.262)#16$0.2798(-0.253)#696
17.45746$0.0291$0.2896(-0.260)#17$0.2798(-0.251)#746
18.43403$0.0298$0.2896(-0.260)#18$0.2798(-0.250)#766
19.44110$0.0309$0.2896(-0.259)#19$0.2798(-0.249)#806
20.45764$0.0325$0.2896(-0.257)#20$0.2798(-0.247)#846
21.44325$0.0358$0.2896(-0.254)#21$0.2798(-0.244)#949
22.43772$0.0366$0.2896(-0.253)#22$0.2798(-0.243)#959
23.45861$0.0378$0.2896(-0.252)#23$0.2798(-0.242)#1,000
24.43227$0.0383$0.2896(-0.251)#24$0.2798(-0.242)#1,014
25.44104$0.0388$0.2896(-0.251)#25$0.2798(-0.241)#1,025
26.45229$0.0388$0.2896(-0.251)#26$0.2798(-0.241)#1,028
27.45788$0.0396$0.2896(-0.250)#27$0.2798(-0.240)#1,054
28.45820$0.0399$0.2896(-0.250)#28$0.2798(-0.240)#1,061
29.45123$0.0401$0.2896(-0.250)#29$0.2798(-0.240)#1,068
30.43008$0.0411$0.2896(-0.249)#30$0.2798(-0.239)#1,102
31.45339$0.0412$0.2896(-0.248)#31$0.2798(-0.239)#1,104
32.44108$0.0450$0.2896(-0.245)#32$0.2798(-0.235)#1,200
33.45662$0.0457$0.2896(-0.244)#33$0.2798(-0.234)#1,214
34.45402$0.0461$0.2896(-0.244)#34$0.2798(-0.234)#1,226
35.45870$0.0474$0.2896(-0.242)#35$0.2798(-0.232)#1,249
36.43202$0.0490$0.2896(-0.241)#36$0.2798(-0.231)#1,291
37.44703$0.0493$0.2896(-0.240)#37$0.2798(-0.231)#1,298
38.43608$0.0527$0.2896(-0.237)#38$0.2798(-0.227)#1,366
39.44113$0.0541$0.2896(-0.236)#39$0.2798(-0.226)#1,397
40.43917$0.0543$0.2896(-0.235)#40$0.2798(-0.226)#1,401
41.43338$0.0547$0.2896(-0.235)#41$0.2798(-0.225)#1,414
42.43135$0.0602$0.2896(-0.229)#42$0.2798(-0.220)#1,590
43.44121$0.0604$0.2896(-0.229)#43$0.2798(-0.219)#1,596
44.44103$0.0651$0.2896(-0.225)#44$0.2798(-0.215)#1,735
45.45350$0.0652$0.2896(-0.224)#45$0.2798(-0.215)#1,740
46.43730$0.0677$0.2896(-0.222)#46$0.2798(-0.212)#1,803
47.44127$0.0684$0.2896(-0.221)#47$0.2798(-0.211)#1,828
48.43222$0.0686$0.2896(-0.221)#48$0.2798(-0.211)#1,837
49.43036$0.0698$0.2896(-0.220)#49$0.2798(-0.210)#1,875
50.45239$0.0707$0.2896(-0.219)#50$0.2798(-0.209)#1,901
51.45874$0.0713$0.2896(-0.218)#51$0.2798(-0.209)#1,922
52.44262$0.0728$0.2896(-0.217)#52$0.2798(-0.207)#1,974
53.44123$0.0735$0.2896(-0.216)#53$0.2798(-0.206)#1,995
54.45205$0.0748$0.2896(-0.215)#54$0.2798(-0.205)#2,038
55.45237$0.0767$0.2896(-0.213)#55$0.2798(-0.203)#2,100
56.45321$0.0770$0.2896(-0.213)#56$0.2798(-0.203)#2,109
57.45231$0.0775$0.2896(-0.212)#57$0.2798(-0.202)#2,119
58.45619$0.0802$0.2896(-0.209)#58$0.2798(-0.200)#2,190
59.43205$0.0810$0.2896(-0.209)#59$0.2798(-0.199)#2,207
60.44841$0.0813$0.2896(-0.208)#60$0.2798(-0.198)#2,214
61.45224$0.0817$0.2896(-0.208)#61$0.2798(-0.198)#2,232
62.45167$0.0822$0.2896(-0.207)#62$0.2798(-0.198)#2,242
63.45213$0.0844$0.2896(-0.205)#63$0.2798(-0.195)#2,316
64.45211$0.0847$0.2896(-0.205)#64$0.2798(-0.195)#2,322
65.43146$0.0853$0.2896(-0.204)#65$0.2798(-0.195)#2,344
66.43214$0.0859$0.2896(-0.204)#66$0.2798(-0.194)#2,357
67.45862$0.0868$0.2896(-0.203)#67$0.2798(-0.193)#2,379
68.43220$0.0874$0.2896(-0.202)#68$0.2798(-0.192)#2,394
69.44423$0.0876$0.2896(-0.202)#69$0.2798(-0.192)#2,400
70.43748$0.0884$0.2896(-0.201)#70$0.2798(-0.191)#2,435
71.43068$0.0895$0.2896(-0.200)#71$0.2798(-0.190)#2,471
72.45240$0.0903$0.2896(-0.199)#72$0.2798(-0.190)#2,496
73.43232$0.0911$0.2896(-0.199)#73$0.2798(-0.189)#2,520
74.44105$0.0917$0.2896(-0.198)#74$0.2798(-0.188)#2,535
75.43555$0.0940$0.2896(-0.196)#75$0.2798(-0.186)#2,612
76.43468$0.0942$0.2896(-0.195)#76$0.2798(-0.186)#2,625
77.43407$0.0946$0.2896(-0.195)#77$0.2798(-0.185)#2,639
78.44308$0.0950$0.2896(-0.195)#78$0.2798(-0.185)#2,660
79.45172$0.0962$0.2896(-0.193)#79$0.2798(-0.184)#2,690
80.43359$0.0991$0.2896(-0.191)#80$0.2798(-0.181)#2,779
81.43940$0.1000$0.2896(-0.190)#81$0.2798(-0.180)#2,813
82.43002$0.1006$0.2896(-0.189)#82$0.2798(-0.179)#2,833
83.44817$0.1009$0.2896(-0.189)#83$0.2798(-0.179)#2,854
84.45416$0.1034$0.2896(-0.186)#84$0.2798(-0.176)#2,954
85.45894$0.1051$0.2896(-0.185)#85$0.2798(-0.175)#3,010
86.43442$0.1054$0.2896(-0.184)#86$0.2798(-0.174)#3,020
87.43080$0.1056$0.2896(-0.184)#87$0.2798(-0.174)#3,024
88.43780$0.1061$0.2896(-0.184)#88$0.2798(-0.174)#3,042
89.45334$0.1089$0.2896(-0.181)#89$0.2798(-0.171)#3,134
90.44661$0.1092$0.2896(-0.180)#90$0.2798(-0.171)#3,146
91.45815$0.1101$0.2896(-0.180)#91$0.2798(-0.170)#3,173
92.45426$0.1102$0.2896(-0.179)#92$0.2798(-0.170)#3,178
93.44137$0.1107$0.2896(-0.179)#93$0.2798(-0.169)#3,193
94.43066$0.1108$0.2896(-0.179)#94$0.2798(-0.169)#3,195
95.44707$0.1117$0.2896(-0.178)#95$0.2798(-0.168)#3,223
96.45403$0.1125$0.2896(-0.177)#96$0.2798(-0.167)#3,260
97.45065$0.1126$0.2896(-0.177)#97$0.2798(-0.167)#3,262
98.43604$0.1130$0.2896(-0.177)#98$0.2798(-0.167)#3,276
99.44030$0.1136$0.2896(-0.176)#99$0.2798(-0.166)#3,297
100.44859$0.1141$0.2896(-0.176)#100$0.2798(-0.166)#3,309

Common Questions

What are the Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in Ohio?
Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in Ohio are:
#1
$0.0001
#2
$0.0036
#3
$0.0123
#4
$0.0124
#5
$0.0157
#6
$0.0181
#7
$0.0207
#8
$0.0211
#9
$0.0222
#10
$0.0230
What zip code has the Lowest Wage/Income Gap ($) in Ohio?
43230 has the Lowest Wage/Income Gap ($) in Ohio with $0.0001.
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.