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

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Highest 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
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Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 45409 76.0 27.0 (+49.0)#58 32.0 (+44.0)#2,427
2. 45430 61.0 27.0 (+34.0)#100 32.0 (+29.0)#3,604
3. 45403 60.0 27.0 (+33.0)#101 32.0 (+28.0)#3,677
4. 45458 58.0 27.0 (+31.0)#108 32.0 (+26.0)#3,852
5. 45440 51.0 27.0 (+24.0)#135 32.0 (+19.0)#4,745
6. 45449 47.0 27.0 (+20.0)#158 32.0 (+15.0)#5,383
7. 45426 46.0 27.0 (+19.0)#165 32.0 (+14.0)#5,580
8. 45459 38.0 27.0 (+11.0)#214 32.0 (+6.00)#7,128
9. 45432 36.0 27.0 (+9.00)#240 32.0 (+4.00)#7,670
10. 45405 26.0 27.0 (-1.000)#338 32.0 (-6.00)#10,470
11. 45424 24.0 27.0 (-3.00)#362 32.0 (-8.00)#10,977
12. 45402 24.0 27.0 (-3.00)#367 32.0 (-8.00)#11,137
13. 45429 22.0 27.0 (-5.00)#393 32.0 (-10.00)#11,654
14. 45414 19.0 27.0 (-8.00)#422 32.0 (-13.0)#12,621
15. 45434 19.0 27.0 (-8.00)#424 32.0 (-13.0)#12,661
16. 45417 12.0 27.0 (-15.0)#512 32.0 (-20.0)#14,676
17. 45420 11.0 27.0 (-16.0)#522 32.0 (-21.0)#14,962
18. 45406 9.0 27.0 (-18.0)#551 32.0 (-23.0)#15,539
19. 45410 9.0 27.0 (-18.0)#552 32.0 (-23.0)#15,556
20. 45431 4.0 27.0 (-23.0)#599 32.0 (-28.0)#16,647

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Dayton, OH?
Top 10 Zip Codes with the Most Births per 1,000 Women Over the Age of 35 in Dayton, OH are:
#1
76.0
#2
61.0
#3
60.0
#4
58.0
#5
51.0
#6
47.0
#7
46.0
#8
38.0
#9
36.0
#10
26.0
What zip code has the Most Births per 1,000 Women Over the Age of 35 in Dayton, OH?
45409 has the Most Births per 1,000 Women Over the Age of 35 in Dayton, OH with 76.0.
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.