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

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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

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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
1.454339.056.0(-47.0)#2853.0(-44.0)#536
2.4541517.056.0(-39.0)#7553.0(-36.0)#1,682
3.4540224.056.0(-32.0)#12053.0(-29.0)#3,226
4.4543931.056.0(-25.0)#19053.0(-22.0)#5,133
5.4542638.056.0(-18.0)#26453.0(-15.0)#7,364
6.4540438.056.0(-18.0)#26553.0(-15.0)#7,385
7.4540939.056.0(-17.0)#28253.0(-14.0)#7,721
8.4543141.056.0(-15.0)#30453.0(-12.0)#8,344
9.4540646.056.0(-10.00)#37853.0(-7.00)#10,216
10.4542451.056.0(-5.00)#44953.0(-2.00)#11,838
11.4545951.056.0(-5.00)#45053.0(-2.00)#11,900
12.4541957.056.0(+1.000)#52253.0(+4.00)#13,883
13.4541458.056.0(+2.00)#53753.0(+5.00)#14,182
14.4542959.056.0(+3.00)#55353.0(+6.00)#14,449
15.4544063.056.0(+7.00)#59853.0(+10.00)#15,591
16.4544966.056.0(+10.00)#62853.0(+13.0)#16,428
17.4541771.056.0(+15.0)#67253.0(+18.0)#17,519
18.4543473.056.0(+17.0)#68853.0(+20.0)#17,981
19.4545875.056.0(+19.0)#70653.0(+22.0)#18,326
20.4540579.056.0(+23.0)#74053.0(+26.0)#19,047
21.4542083.056.0(+27.0)#76953.0(+30.0)#19,646
22.4543295.056.0(+39.0)#82953.0(+42.0)#20,985
23.45430100.056.0(+44.0)#85553.0(+47.0)#21,449
24.45416112.056.0(+56.0)#88653.0(+59.0)#22,285
25.45403114.056.0(+58.0)#89253.0(+61.0)#22,384
26.45410125.056.0(+69.0)#91653.0(+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.