Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dayton, OH

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Highest Birth Rate | Below Poverty
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
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
Dayton
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dayton

9.0
125.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dayton Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dayton, OH

Zip Code Births / 1,000 Women vs State vs National
1. 45410 125.0 56.0 (+69.0)#82 53.0 (+72.0)#2,501
2. 45403 114.0 56.0 (+58.0)#105 53.0 (+61.0)#3,019
3. 45416 112.0 56.0 (+56.0)#112 53.0 (+59.0)#3,134
4. 45430 100.0 56.0 (+44.0)#148 53.0 (+47.0)#3,940
5. 45432 95.0 56.0 (+39.0)#171 53.0 (+42.0)#4,385
6. 45420 83.0 56.0 (+27.0)#228 53.0 (+30.0)#5,704
7. 45405 79.0 56.0 (+23.0)#258 53.0 (+26.0)#6,332
8. 45458 75.0 56.0 (+19.0)#289 53.0 (+22.0)#6,967
9. 45434 73.0 56.0 (+17.0)#305 53.0 (+20.0)#7,411
10. 45417 71.0 56.0 (+15.0)#322 53.0 (+18.0)#7,801
11. 45449 66.0 56.0 (+10.00)#370 53.0 (+13.0)#8,951
12. 45440 63.0 56.0 (+7.00)#399 53.0 (+10.00)#9,741
13. 45429 59.0 56.0 (+3.00)#441 53.0 (+6.00)#10,890
14. 45414 58.0 56.0 (+2.00)#458 53.0 (+5.00)#11,224
15. 45419 57.0 56.0 (+1.000)#480 53.0 (+4.00)#11,540
16. 45424 51.0 56.0 (-5.00)#541 53.0 (-2.00)#13,314
17. 45459 51.0 56.0 (-5.00)#542 53.0 (-2.00)#13,376
18. 45406 46.0 56.0 (-10.00)#620 53.0 (-7.00)#15,188
19. 45431 41.0 56.0 (-15.0)#690 53.0 (-12.0)#16,921
20. 45409 39.0 56.0 (-17.0)#712 53.0 (-14.0)#17,657
21. 45426 38.0 56.0 (-18.0)#726 53.0 (-15.0)#18,019
22. 45404 38.0 56.0 (-18.0)#727 53.0 (-15.0)#18,040
23. 45439 31.0 56.0 (-25.0)#809 53.0 (-22.0)#20,257
24. 45402 24.0 56.0 (-32.0)#873 53.0 (-29.0)#22,143
25. 45415 17.0 56.0 (-39.0)#921 53.0 (-36.0)#23,661
26. 45433 9.0 56.0 (-47.0)#973 53.0 (-44.0)#24,943

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dayton, OH?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dayton, OH are:
#1
125.0
#2
114.0
#3
112.0
#4
100.0
#5
95.0
#6
83.0
#7
79.0
#8
75.0
#9
73.0
#10
71.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Dayton, OH?
45410 has the Most Births per 1,000 Women Below Poverty Level in Dayton, OH with 125.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Dayton, OH?
Number of Births per 1,000 Women Below Poverty Level in Dayton is 73.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Ohio?
Number of Births per 1,000 Women Below Poverty Level in Ohio is 56.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.