Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Dayton, OH

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Highest Poverty | Child 0-16
Population
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
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Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Dayton

0.53%
100.0%
Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Dayton Map

Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Dayton, OH

Zip Code Child Poverty vs State vs National
1. 45469 100.0% 18.8% (+81.2)#2 16.9% (+83.1)#145
2. 45403 66.1% 18.8% (+47.4)#31 16.9% (+49.2)#847
3. 45417 55.5% 18.8% (+36.8)#49 16.9% (+38.6)#1,374
4. 45404 50.0% 18.8% (+31.3)#66 16.9% (+33.1)#1,817
5. 45426 43.4% 18.8% (+24.7)#110 16.9% (+26.5)#2,635
6. 45439 42.3% 18.8% (+23.5)#117 16.9% (+25.3)#2,806
7. 45405 41.3% 18.8% (+22.5)#126 16.9% (+24.4)#2,939
8. 45416 39.4% 18.8% (+20.7)#139 16.9% (+22.5)#3,280
9. 45406 38.8% 18.8% (+20.1)#144 16.9% (+21.9)#3,386
10. 45402 33.1% 18.8% (+14.4)#191 16.9% (+16.2)#4,714
11. 45410 31.1% 18.8% (+12.3)#216 16.9% (+14.1)#5,277
12. 45414 28.0% 18.8% (+9.27)#258 16.9% (+11.1)#6,296
13. 45420 20.6% 18.8% (+1.82)#393 16.9% (+3.63)#9,797
14. 45415 17.1% 18.8% (-1.63)#469 16.9% (+0.178)#11,858
15. 45440 15.3% 18.8% (-3.41)#517 16.9% (-1.59)#13,100
16. 45432 14.6% 18.8% (-4.17)#534 16.9% (-2.36)#13,624
17. 45431 12.8% 18.8% (-6.00)#589 16.9% (-4.19)#14,993
18. 45449 12.6% 18.8% (-6.13)#597 16.9% (-4.32)#15,109
19. 45424 11.7% 18.8% (-7.06)#626 16.9% (-5.25)#15,875
20. 45419 9.0% 18.8% (-9.77)#705 16.9% (-7.95)#18,235
21. 45409 8.6% 18.8% (-10.2)#715 16.9% (-8.39)#18,623
22. 45429 8.3% 18.8% (-10.4)#723 16.9% (-8.62)#18,847
23. 45458 6.5% 18.8% (-12.3)#787 16.9% (-10.5)#20,580
24. 45459 4.1% 18.8% (-14.6)#887 16.9% (-12.8)#22,838
25. 45430 2.8% 18.8% (-16.0)#943 16.9% (-14.2)#24,152
26. 45434 0.53% 18.8% (-18.2)#1,003 16.9% (-16.4)#25,909

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Dayton, OH?
Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Dayton, OH are:
#1
100.0%
#2
66.1%
#3
55.5%
#4
50.0%
#5
43.4%
#6
42.3%
#7
41.3%
#8
39.4%
#9
38.8%
#10
33.1%
What zip code has the Highest Poverty Level Among Children Under the Age of 16 in Dayton, OH?
45469 has the Highest Poverty Level Among Children Under the Age of 16 in Dayton, OH with 100.0%.
What is the Poverty Level Among Children Under the Age of 16 in Dayton, OH?
Poverty Level Among Children Under the Age of 16 in Dayton is 42.2%.
What is the Poverty Level Among Children Under the Age of 16 in Ohio?
Poverty Level Among Children Under the Age of 16 in Ohio is 18.8%.
What is the Poverty Level Among Children Under the Age of 16 in the United States?
Poverty Level Among Children Under the Age of 16 in the United States is 16.9%.