Zip Codes with the Most Births per 1,000 Women in Labor Force in Dayton, OH

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Highest Birth Rate | In Labor Force
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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Income (Households)
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Poverty (Families)
Unemployment
Employment Occupations
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Dayton
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women in Labor Force in Dayton

18.0
118.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Dayton Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in Dayton, OH

Zip Code Births / 1,000 Women vs State vs National
1. 45403 118.0 51.0 (+67.0)#95 48.0 (+70.0)#2,584
2. 45416 113.0 51.0 (+62.0)#106 48.0 (+65.0)#2,802
3. 45430 105.0 51.0 (+54.0)#122 48.0 (+57.0)#3,199
4. 45410 103.0 51.0 (+52.0)#127 48.0 (+55.0)#3,306
5. 45405 92.0 51.0 (+41.0)#160 48.0 (+44.0)#4,042
6. 45458 84.0 51.0 (+33.0)#198 48.0 (+36.0)#4,792
7. 45432 79.0 51.0 (+28.0)#220 48.0 (+31.0)#5,390
8. 45420 77.0 51.0 (+26.0)#230 48.0 (+29.0)#5,621
9. 45417 70.0 51.0 (+19.0)#275 48.0 (+22.0)#6,683
10. 45440 61.0 51.0 (+10.00)#359 48.0 (+13.0)#8,550
11. 45459 60.0 51.0 (+9.00)#366 48.0 (+12.0)#8,749
12. 45449 59.0 51.0 (+8.00)#378 48.0 (+11.0)#8,987
13. 45419 52.0 51.0 (+1.000)#452 48.0 (+4.00)#10,857
14. 45424 47.0 51.0 (-4.00)#505 48.0 (-1.000)#12,214
15. 45429 45.0 51.0 (-6.00)#538 48.0 (-3.00)#12,889
16. 45434 45.0 51.0 (-6.00)#544 48.0 (-3.00)#12,974
17. 45426 38.0 51.0 (-13.0)#616 48.0 (-10.00)#15,259
18. 45404 33.0 51.0 (-18.0)#669 48.0 (-15.0)#16,867
19. 45414 31.0 51.0 (-20.0)#689 48.0 (-17.0)#17,469
20. 45406 27.0 51.0 (-24.0)#722 48.0 (-21.0)#18,610
21. 45402 25.0 51.0 (-26.0)#739 48.0 (-23.0)#19,248
22. 45431 24.0 51.0 (-27.0)#749 48.0 (-24.0)#19,451
23. 45415 23.0 51.0 (-28.0)#762 48.0 (-25.0)#19,783
24. 45409 22.0 51.0 (-29.0)#772 48.0 (-26.0)#20,021
25. 45439 18.0 51.0 (-33.0)#809 48.0 (-30.0)#21,006

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Dayton, OH?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Dayton, OH are:
#1
118.0
#2
113.0
#3
105.0
#4
103.0
#5
92.0
#6
84.0
#7
79.0
#8
77.0
#9
70.0
#10
61.0
What zip code has the Most Births per 1,000 Women in Labor Force in Dayton, OH?
45403 has the Most Births per 1,000 Women in Labor Force in Dayton, OH with 118.0.
What is the Number of Births per 1,000 Women in Labor Force in Dayton, OH?
Number of Births per 1,000 Women in Labor Force in Dayton is 56.0.
What is the Number of Births per 1,000 Women in Labor Force in Ohio?
Number of Births per 1,000 Women in Labor Force in Ohio is 51.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.