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

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Lowest 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
Income
Income (Families)
Income (Households)
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Poverty (Families)
Unemployment
Employment Occupations
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Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
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Dayton
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 45439 18.0 51.0 (-33.0)#103 48.0 (-30.0)#2,184
2. 45409 22.0 51.0 (-29.0)#136 48.0 (-26.0)#3,138
3. 45415 23.0 51.0 (-28.0)#147 48.0 (-25.0)#3,410
4. 45431 24.0 51.0 (-27.0)#156 48.0 (-24.0)#3,626
5. 45402 25.0 51.0 (-26.0)#170 48.0 (-23.0)#3,994
6. 45406 27.0 51.0 (-24.0)#189 48.0 (-21.0)#4,530
7. 45414 31.0 51.0 (-20.0)#222 48.0 (-17.0)#5,712
8. 45404 33.0 51.0 (-18.0)#247 48.0 (-15.0)#6,403
9. 45426 38.0 51.0 (-13.0)#294 48.0 (-10.00)#7,951
10. 45429 45.0 51.0 (-6.00)#371 48.0 (-3.00)#10,206
11. 45434 45.0 51.0 (-6.00)#377 48.0 (-3.00)#10,291
12. 45424 47.0 51.0 (-4.00)#399 48.0 (-1.000)#10,771
13. 45419 52.0 51.0 (+1.000)#466 48.0 (+4.00)#12,364
14. 45449 59.0 51.0 (+8.00)#531 48.0 (+11.0)#14,214
15. 45459 60.0 51.0 (+9.00)#544 48.0 (+12.0)#14,421
16. 45440 61.0 51.0 (+10.00)#555 48.0 (+13.0)#14,631
17. 45417 70.0 51.0 (+19.0)#633 48.0 (+22.0)#16,472
18. 45420 77.0 51.0 (+26.0)#679 48.0 (+29.0)#17,532
19. 45432 79.0 51.0 (+28.0)#694 48.0 (+31.0)#17,822
20. 45458 84.0 51.0 (+33.0)#712 48.0 (+36.0)#18,378
21. 45405 92.0 51.0 (+41.0)#755 48.0 (+44.0)#19,167
22. 45410 103.0 51.0 (+52.0)#784 48.0 (+55.0)#19,895
23. 45430 105.0 51.0 (+54.0)#792 48.0 (+57.0)#20,032
24. 45416 113.0 51.0 (+62.0)#809 48.0 (+65.0)#20,442
25. 45403 118.0 51.0 (+67.0)#817 48.0 (+70.0)#20,634

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Dayton, OH?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Dayton, OH are:
#1
0.0
#2
18.0
#3
22.0
#4
23.0
#5
24.0
#6
25.0
#7
27.0
#8
31.0
#9
33.0
#10
38.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Dayton, OH?
45439 has the Lowest Births per 1,000 Women in Labor Force in Dayton, OH with 18.0.
What is the Number Births per 1,000 Women in Labor Force in Dayton, OH?
Number Births per 1,000 Women in Labor Force in Dayton is 56.0.
What is the Number Births per 1,000 Women in Labor Force in Ohio?
Number Births per 1,000 Women in Labor Force in Ohio is 51.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.