Zip Codes with the Highest Poverty Level Among Married Couples in Dayton, OH

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Highest Poverty | Married Couple
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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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Poverty (Families)
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Dayton
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Married Couples in Dayton

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Married Couples in Dayton Map

Zip Codes with the Highest Poverty Level Among Married Couples in Dayton, OH

Zip Code Married Couples Poverty vs State vs National
1.45469100.0%3.7%(+96.3)#24.5%(+95.5)#16
2.4540412.1%3.7%(+8.44)#954.5%(+7.64)#3,342
3.4542611.4%3.7%(+7.79)#1104.5%(+6.99)#3,664
4.4540311.2%3.7%(+7.58)#1134.5%(+6.77)#3,784
5.454069.1%3.7%(+5.47)#1574.5%(+4.67)#5,252
6.454178.9%3.7%(+5.25)#1654.5%(+4.45)#5,475
7.454108.3%3.7%(+4.65)#1854.5%(+3.85)#6,043
8.454147.5%3.7%(+3.79)#2194.5%(+2.99)#7,046
9.454395.8%3.7%(+2.14)#3124.5%(+1.33)#9,671
10.454165.1%3.7%(+1.47)#3684.5%(+0.662)#11,036
11.454054.7%3.7%(+1.07)#4004.5%(+0.266)#11,921
12.454313.4%3.7%(-0.255)#5344.5%(-1.06)#15,567
13.454302.8%3.7%(-0.844)#6034.5%(-1.65)#17,495
14.454322.7%3.7%(-0.989)#6254.5%(-1.79)#17,982
15.454292.4%3.7%(-1.27)#6624.5%(-2.07)#18,966
16.454202.3%3.7%(-1.32)#6744.5%(-2.12)#19,136
17.454241.8%3.7%(-1.86)#7594.5%(-2.66)#21,163
18.454341.8%3.7%(-1.89)#7684.5%(-2.69)#21,297
19.454401.8%3.7%(-1.89)#7704.5%(-2.70)#21,318
20.454581.8%3.7%(-1.90)#7744.5%(-2.70)#21,345
21.454091.6%3.7%(-2.02)#7974.5%(-2.82)#21,837
22.454491.5%3.7%(-2.15)#8224.5%(-2.96)#22,316
23.454591.3%3.7%(-2.39)#8624.5%(-3.19)#23,125
24.454191.2%3.7%(-2.49)#8834.5%(-3.29)#23,480
25.454151.0%3.7%(-2.63)#9024.5%(-3.44)#23,941

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Married Couples in Dayton, OH?
Top 10 Zip Codes with the Highest Poverty Level Among Married Couples in Dayton, OH are:
#1
100.0%
#2
12.1%
#3
11.4%
#4
11.2%
#5
9.1%
#6
8.9%
#7
8.3%
#8
7.5%
#9
5.8%
#10
5.1%
What zip code has the Highest Poverty Level Among Married Couples in Dayton, OH?
45469 has the Highest Poverty Level Among Married Couples in Dayton, OH with 100.0%.
What is the Poverty Level Among Married Couples in Dayton, OH?
Poverty Level Among Married Couples in Dayton is 6.9%.
What is the Poverty Level Among Married Couples in Ohio?
Poverty Level Among Married Couples in Ohio is 3.7%.
What is the Poverty Level Among Married Couples in the United States?
Poverty Level Among Married Couples in the United States is 4.5%.