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
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 in Labor Force in Dayton

0.0
150.0
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
1.45403118.051.0(+67.0)#9548.0(+70.0)#2,584
2.45416113.051.0(+62.0)#10648.0(+65.0)#2,802
3.45430105.051.0(+54.0)#12248.0(+57.0)#3,199
4.45410103.051.0(+52.0)#12748.0(+55.0)#3,306
5.4540592.051.0(+41.0)#16048.0(+44.0)#4,042
6.4545884.051.0(+33.0)#19848.0(+36.0)#4,792
7.4543279.051.0(+28.0)#22048.0(+31.0)#5,390
8.4542077.051.0(+26.0)#23048.0(+29.0)#5,621
9.4541770.051.0(+19.0)#27548.0(+22.0)#6,683
10.4544061.051.0(+10.00)#35948.0(+13.0)#8,550
11.4545960.051.0(+9.00)#36648.0(+12.0)#8,749
12.4544959.051.0(+8.00)#37848.0(+11.0)#8,987
13.4541952.051.0(+1.000)#45248.0(+4.00)#10,857
14.4542447.051.0(-4.00)#50548.0(-1.000)#12,214
15.4542945.051.0(-6.00)#53848.0(-3.00)#12,889
16.4543445.051.0(-6.00)#54448.0(-3.00)#12,974
17.4542638.051.0(-13.0)#61648.0(-10.00)#15,259
18.4540433.051.0(-18.0)#66948.0(-15.0)#16,867
19.4541431.051.0(-20.0)#68948.0(-17.0)#17,469
20.4540627.051.0(-24.0)#72248.0(-21.0)#18,610
21.4540225.051.0(-26.0)#73948.0(-23.0)#19,248
22.4543124.051.0(-27.0)#74948.0(-24.0)#19,451
23.4541523.051.0(-28.0)#76248.0(-25.0)#19,783
24.4540922.051.0(-29.0)#77248.0(-26.0)#20,021
25.4543918.051.0(-33.0)#80948.0(-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.