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

RELATED REPORTS & OPTIONS

Lowest 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 Fewest Births per 1,000 Women Below Poverty Level in Dayton

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 45433 9.0 56.0 (-47.0)#28 53.0 (-44.0)#536
2. 45415 17.0 56.0 (-39.0)#75 53.0 (-36.0)#1,682
3. 45402 24.0 56.0 (-32.0)#120 53.0 (-29.0)#3,226
4. 45439 31.0 56.0 (-25.0)#190 53.0 (-22.0)#5,133
5. 45426 38.0 56.0 (-18.0)#264 53.0 (-15.0)#7,364
6. 45404 38.0 56.0 (-18.0)#265 53.0 (-15.0)#7,385
7. 45409 39.0 56.0 (-17.0)#282 53.0 (-14.0)#7,721
8. 45431 41.0 56.0 (-15.0)#304 53.0 (-12.0)#8,344
9. 45406 46.0 56.0 (-10.00)#378 53.0 (-7.00)#10,216
10. 45424 51.0 56.0 (-5.00)#449 53.0 (-2.00)#11,838
11. 45459 51.0 56.0 (-5.00)#450 53.0 (-2.00)#11,900
12. 45419 57.0 56.0 (+1.000)#522 53.0 (+4.00)#13,883
13. 45414 58.0 56.0 (+2.00)#537 53.0 (+5.00)#14,182
14. 45429 59.0 56.0 (+3.00)#553 53.0 (+6.00)#14,449
15. 45440 63.0 56.0 (+7.00)#598 53.0 (+10.00)#15,591
16. 45449 66.0 56.0 (+10.00)#628 53.0 (+13.0)#16,428
17. 45417 71.0 56.0 (+15.0)#672 53.0 (+18.0)#17,519
18. 45434 73.0 56.0 (+17.0)#688 53.0 (+20.0)#17,981
19. 45458 75.0 56.0 (+19.0)#706 53.0 (+22.0)#18,326
20. 45405 79.0 56.0 (+23.0)#740 53.0 (+26.0)#19,047
21. 45420 83.0 56.0 (+27.0)#769 53.0 (+30.0)#19,646
22. 45432 95.0 56.0 (+39.0)#829 53.0 (+42.0)#20,985
23. 45430 100.0 56.0 (+44.0)#855 53.0 (+47.0)#21,449
24. 45416 112.0 56.0 (+56.0)#886 53.0 (+59.0)#22,285
25. 45403 114.0 56.0 (+58.0)#892 53.0 (+61.0)#22,384
26. 45410 125.0 56.0 (+69.0)#916 53.0 (+72.0)#22,890

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Dayton, OH?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Dayton, OH are:
#1
9.0
#2
17.0
#3
24.0
#4
31.0
#5
38.0
#6
38.0
#7
39.0
#8
41.0
#9
46.0
#10
51.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Dayton, OH?
45433 has the Fewest Births per 1,000 Women Below Poverty Level in Dayton, OH with 9.0.
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.