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

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Highest 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 Most Births per 1,000 Women Below Poverty Level in Dayton

0.0
150.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dayton Map

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

Zip Code Births / 1,000 Women vs State vs National
1.45410125.056.0(+69.0)#8253.0(+72.0)#2,501
2.45403114.056.0(+58.0)#10553.0(+61.0)#3,019
3.45416112.056.0(+56.0)#11253.0(+59.0)#3,134
4.45430100.056.0(+44.0)#14853.0(+47.0)#3,940
5.4543295.056.0(+39.0)#17153.0(+42.0)#4,385
6.4542083.056.0(+27.0)#22853.0(+30.0)#5,704
7.4540579.056.0(+23.0)#25853.0(+26.0)#6,332
8.4545875.056.0(+19.0)#28953.0(+22.0)#6,967
9.4543473.056.0(+17.0)#30553.0(+20.0)#7,411
10.4541771.056.0(+15.0)#32253.0(+18.0)#7,801
11.4544966.056.0(+10.00)#37053.0(+13.0)#8,951
12.4544063.056.0(+7.00)#39953.0(+10.00)#9,741
13.4542959.056.0(+3.00)#44153.0(+6.00)#10,890
14.4541458.056.0(+2.00)#45853.0(+5.00)#11,224
15.4541957.056.0(+1.000)#48053.0(+4.00)#11,540
16.4542451.056.0(-5.00)#54153.0(-2.00)#13,314
17.4545951.056.0(-5.00)#54253.0(-2.00)#13,376
18.4540646.056.0(-10.00)#62053.0(-7.00)#15,188
19.4543141.056.0(-15.0)#69053.0(-12.0)#16,921
20.4540939.056.0(-17.0)#71253.0(-14.0)#17,657
21.4542638.056.0(-18.0)#72653.0(-15.0)#18,019
22.4540438.056.0(-18.0)#72753.0(-15.0)#18,040
23.4543931.056.0(-25.0)#80953.0(-22.0)#20,257
24.4540224.056.0(-32.0)#87353.0(-29.0)#22,143
25.4541517.056.0(-39.0)#92153.0(-36.0)#23,661
26.454339.056.0(-47.0)#97353.0(-44.0)#24,943

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dayton, OH?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Dayton, OH are:
#1
125.0
#2
114.0
#3
112.0
#4
100.0
#5
95.0
#6
83.0
#7
79.0
#8
75.0
#9
73.0
#10
71.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Dayton, OH?
45410 has the Most Births per 1,000 Women Below Poverty Level in Dayton, OH with 125.0.
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.