Zip Codes with the Highest Wage/Income Gap (%) in Dayton, OH

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Highest Wage/Income Gap (%)
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Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBasqueBelgianBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)InupiatIranianIraqiIrishIroquoisItalianJamaicanJapaneseKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUkrainianVenezuelanWelshWest IndianYugoslavian
Ancestry (Percentage)
AfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBasqueBelgianBhutaneseBlackfeetBolivianBrazilianBritishBulgarianBurmeseCajunCanadianCape VerdeanCelticCentral AmericanCentral American IndianCherokeeChileanChippewaChoctawColombianCosta RicanCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench CanadianGermanGhanaianGreekGuamanian / ChamorroGuatemalanHaitianHonduranHungarianIcelanderIndian (Asian)InupiatIranianIraqiIrishIroquoisItalianJamaicanJapaneseKenyanKoreanLaotianLatvianLebaneseLiberianLithuanianLuxembourgerMacedonianMalteseMexicanMexican American IndianMoroccanNative HawaiianNavajoNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSpaniardSpanishSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUkrainianVenezuelanWelshWest IndianYugoslavian
Immigrant Origin (Total)
AfricaArgentinaAsiaAustraliaBelarusBosnia and HerzegovinaBrazilBulgariaCambodiaCameroonCanadaCaribbeanCentral AmericaChinaColombiaCongoCosta RicaCubaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaKuwaitLatin AmericaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNetherlandsNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSudanTaiwanThailandTrinidad and TobagoTurkeyUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaire
Immigrant Origin (Percentage)
AfricaArgentinaAsiaAustraliaBelarusBosnia and HerzegovinaBrazilBulgariaCambodiaCameroonCanadaCaribbeanCentral AmericaChinaColombiaCongoCosta RicaCubaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKenyaKoreaKuwaitLatin AmericaLebanonLiberiaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNetherlandsNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSudanTaiwanThailandTrinidad and TobagoTurkeyUkraineUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZaire
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Income (Households)
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Poverty (Families)
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Dayton
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Comparison Subject

Map of Zip Codes with the Highest Wage/Income Gap (%) in Dayton

2.3%
63.1%
Zip Codes with the Highest Wage/Income Gap (%) in Dayton Map

Zip Codes with the Highest Wage/Income Gap (%) in Dayton, OH

Zip Code Wage/Income Gap (%) vs State vs National
1. 45469 63.1% 29.0% (+0.341)#27 28.0% (+0.351)#797
2. 45458 44.7% 29.0% (+0.158)#186 28.0% (+0.167)#4,922
3. 45433 40.7% 29.0% (+0.117)#292 28.0% (+0.127)#6,841
4. 45432 38.6% 29.0% (+0.097)#342 28.0% (+0.107)#7,982
5. 45414 37.5% 29.0% (+0.085)#375 28.0% (+0.095)#8,695
6. 45434 34.8% 29.0% (+0.058)#447 28.0% (+0.068)#10,516
7. 45424 34.6% 29.0% (+0.056)#453 28.0% (+0.066)#10,667
8. 45430 34.1% 29.0% (+0.052)#465 28.0% (+0.061)#10,940
9. 45419 30.4% 29.0% (+0.014)#578 28.0% (+0.024)#13,521
10. 45459 30.2% 29.0% (+0.012)#590 28.0% (+0.022)#13,680
11. 45420 28.9% 29.0% (-0.001)#631 28.0% (+0.009)#14,606
12. 45449 27.3% 29.0% (-0.016)#676 28.0% (-0.007)#15,776
13. 45431 26.8% 29.0% (-0.022)#687 28.0% (-0.012)#16,141
14. 45440 26.4% 29.0% (-0.025)#698 28.0% (-0.016)#16,412
15. 45409 22.6% 29.0% (-0.063)#786 28.0% (-0.054)#19,005
16. 45406 21.6% 29.0% (-0.074)#809 28.0% (-0.064)#19,683
17. 45415 20.3% 29.0% (-0.086)#849 28.0% (-0.077)#20,498
18. 45429 19.5% 29.0% (-0.095)#859 28.0% (-0.085)#21,013
19. 45410 18.8% 29.0% (-0.101)#873 28.0% (-0.092)#21,350
20. 45417 14.7% 29.0% (-0.142)#930 28.0% (-0.132)#23,291
21. 45404 13.8% 29.0% (-0.151)#942 28.0% (-0.142)#23,674
22. 45405 12.8% 29.0% (-0.161)#952 28.0% (-0.151)#24,027
23. 45439 12.5% 29.0% (-0.165)#955 28.0% (-0.155)#24,172
24. 45403 11.3% 29.0% (-0.177)#972 28.0% (-0.167)#24,598
25. 45426 11.0% 29.0% (-0.179)#976 28.0% (-0.170)#24,680
26. 45416 10.3% 29.0% (-0.186)#984 28.0% (-0.176)#24,904
27. 45402 4.6% 29.0% (-0.244)#1,034 28.0% (-0.234)#26,632
28. 45435 2.3% 29.0% (-0.267)#1,056 28.0% (-0.257)#27,269

Common Questions

What are the Top 10 Zip Codes with the Highest Wage/Income Gap (%) in Dayton, OH?
Top 10 Zip Codes with the Highest Wage/Income Gap (%) in Dayton, OH are:
#1
63.1%
#2
44.7%
#3
40.7%
#4
38.6%
#5
37.5%
#6
34.8%
#7
34.6%
#8
34.1%
#9
30.4%
#10
30.2%
What zip code has the Highest Wage/Income Gap (%) in Dayton, OH?
45469 has the Highest Wage/Income Gap (%) in Dayton, OH with 63.1%.
What is the Wage / Income Gap in Percentage Terms in Dayton, OH?
Wage / Income Gap in Percentage Terms in Dayton is 19.0%.
What is the Wage / Income Gap in Percentage Terms in Ohio?
Wage / Income Gap in Percentage Terms in Ohio is 29.0%.
What is the Wage / Income Gap in Percentage Terms in the United States?
Wage / Income Gap in Percentage Terms in the United States is 28.0%.