Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Dayton, OH

RELATED REPORTS & OPTIONS

Lowest Birth Rate | Women 35+
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 Over the Age of 35 in Dayton

76.0
4.0
Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Dayton Map

Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Dayton, OH

Zip Code Births / 1,000 Women vs State vs National
1. 45431 4.0 27.0 (-23.0)#9 32.0 (-28.0)#244
2. 45406 9.0 27.0 (-18.0)#57 32.0 (-23.0)#1,352
3. 45410 9.0 27.0 (-18.0)#58 32.0 (-23.0)#1,369
4. 45420 11.0 27.0 (-16.0)#86 32.0 (-21.0)#1,884
5. 45417 12.0 27.0 (-15.0)#102 32.0 (-20.0)#2,180
6. 45414 19.0 27.0 (-8.00)#187 32.0 (-13.0)#4,334
7. 45434 19.0 27.0 (-8.00)#189 32.0 (-13.0)#4,374
8. 45429 22.0 27.0 (-5.00)#216 32.0 (-10.00)#5,247
9. 45424 24.0 27.0 (-3.00)#241 32.0 (-8.00)#5,762
10. 45402 24.0 27.0 (-3.00)#246 32.0 (-8.00)#5,922
11. 45405 26.0 27.0 (-1.000)#273 32.0 (-6.00)#6,528
12. 45432 36.0 27.0 (+9.00)#380 32.0 (+4.00)#9,386
13. 45459 38.0 27.0 (+11.0)#394 32.0 (+6.00)#9,779
14. 45426 46.0 27.0 (+19.0)#451 32.0 (+14.0)#11,479
15. 45449 47.0 27.0 (+20.0)#453 32.0 (+15.0)#11,597
16. 45440 51.0 27.0 (+24.0)#473 32.0 (+19.0)#12,243
17. 45458 58.0 27.0 (+31.0)#503 32.0 (+26.0)#13,068
18. 45403 60.0 27.0 (+33.0)#511 32.0 (+28.0)#13,322
19. 45430 61.0 27.0 (+34.0)#516 32.0 (+29.0)#13,438
20. 45409 76.0 27.0 (+49.0)#556 32.0 (+44.0)#14,566

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Dayton, OH?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Dayton, OH are:
#1
0.0
#2
0.0
#3
0.0
#4
0.0
#5
0.0
#6
0.0
#7
4.0
#8
9.0
#9
9.0
#10
11.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in Dayton, OH?
45431 has the Fewest Births per 1,000 Women Over the Age of 35 in Dayton, OH with 4.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in Dayton, OH?
Number of Births per 1,000 Women Over the Age of 35 in Dayton is 16.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in Ohio?
Number of Births per 1,000 Women Over the Age of 35 in Ohio is 27.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.