Zip Codes with the Most Births per 1,000 Women in Labor Force in Cincinnati, 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)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBarbadianBelgianBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChileanChippewaChoctawColombianCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLithuanianLuxembourgerMacedonianMalaysianMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBarbadianBelgianBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChileanChippewaChoctawColombianCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLithuanianLuxembourgerMacedonianMalaysianMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZimbabwe
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
Cincinnati
Compare Zip Codes
Comparison Subject

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

2.0
142.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Cincinnati Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 45232 142.0 51.0 (+91.0)#68 48.0 (+94.0)#1,859
2. 45246 128.0 51.0 (+77.0)#82 48.0 (+80.0)#2,239
3. 45211 113.0 51.0 (+62.0)#105 48.0 (+65.0)#2,789
4. 45203 106.0 51.0 (+55.0)#119 48.0 (+58.0)#3,163
5. 45223 101.0 51.0 (+50.0)#131 48.0 (+53.0)#3,438
6. 45204 93.0 51.0 (+42.0)#156 48.0 (+45.0)#3,981
7. 45236 92.0 51.0 (+41.0)#159 48.0 (+44.0)#4,038
8. 45241 87.0 51.0 (+36.0)#185 48.0 (+39.0)#4,500
9. 45226 77.0 51.0 (+26.0)#233 48.0 (+29.0)#5,672
10. 45216 74.0 51.0 (+23.0)#251 48.0 (+26.0)#6,067
11. 45217 69.0 51.0 (+18.0)#288 48.0 (+21.0)#6,930
12. 45251 67.0 51.0 (+16.0)#303 48.0 (+19.0)#7,272
13. 45224 66.0 51.0 (+15.0)#312 48.0 (+18.0)#7,465
14. 45247 65.0 51.0 (+14.0)#320 48.0 (+17.0)#7,651
15. 45252 62.0 51.0 (+11.0)#352 48.0 (+14.0)#8,423
16. 45238 60.0 51.0 (+9.00)#365 48.0 (+12.0)#8,710
17. 45214 59.0 51.0 (+8.00)#383 48.0 (+11.0)#9,033
18. 45237 58.0 51.0 (+7.00)#390 48.0 (+10.00)#9,227
19. 45227 58.0 51.0 (+7.00)#391 48.0 (+10.00)#9,237
20. 45243 58.0 51.0 (+7.00)#393 48.0 (+10.00)#9,251
21. 45225 58.0 51.0 (+7.00)#394 48.0 (+10.00)#9,276
22. 45244 56.0 51.0 (+5.00)#407 48.0 (+8.00)#9,674
23. 45230 56.0 51.0 (+5.00)#408 48.0 (+8.00)#9,681
24. 45209 56.0 51.0 (+5.00)#410 48.0 (+8.00)#9,751
25. 45239 54.0 51.0 (+3.00)#426 48.0 (+6.00)#10,245
26. 45248 51.0 51.0 (=0.000)#460 48.0 (+3.00)#11,120
27. 45240 50.0 51.0 (-1.000)#471 48.0 (+2.00)#11,389
28. 45245 50.0 51.0 (-1.000)#474 48.0 (+2.00)#11,424
29. 45242 48.0 51.0 (-3.00)#498 48.0 (=0.000)#11,994
30. 45213 47.0 51.0 (-4.00)#508 48.0 (-1.000)#12,368
31. 45231 45.0 51.0 (-6.00)#533 48.0 (-3.00)#12,834
32. 45208 42.0 51.0 (-9.00)#577 48.0 (-6.00)#13,912
33. 45212 41.0 51.0 (-10.00)#586 48.0 (-7.00)#14,258
34. 45218 37.0 51.0 (-14.0)#632 48.0 (-11.0)#15,722
35. 45249 36.0 51.0 (-15.0)#638 48.0 (-12.0)#15,929
36. 45215 33.0 51.0 (-18.0)#665 48.0 (-15.0)#16,767
37. 45233 32.0 51.0 (-19.0)#678 48.0 (-16.0)#17,152
38. 45255 26.0 51.0 (-25.0)#727 48.0 (-22.0)#18,880
39. 45207 22.0 51.0 (-29.0)#774 48.0 (-26.0)#20,074
40. 45202 20.0 51.0 (-31.0)#791 48.0 (-28.0)#20,524
41. 45229 20.0 51.0 (-31.0)#792 48.0 (-28.0)#20,542
42. 45205 19.0 51.0 (-32.0)#801 48.0 (-29.0)#20,760
43. 45219 7.0 51.0 (-44.0)#883 48.0 (-41.0)#22,860
44. 45220 3.0 51.0 (-48.0)#908 48.0 (-45.0)#23,174
45. 45206 2.0 51.0 (-49.0)#912 48.0 (-46.0)#23,226

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Cincinnati, OH?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Cincinnati, OH are:
#1
142.0
#2
128.0
#3
113.0
#4
106.0
#5
101.0
#6
93.0
#7
92.0
#8
87.0
#9
77.0
#10
74.0
What zip code has the Most Births per 1,000 Women in Labor Force in Cincinnati, OH?
45232 has the Most Births per 1,000 Women in Labor Force in Cincinnati, OH with 142.0.
What is the Number of Births per 1,000 Women in Labor Force in Cincinnati, OH?
Number of Births per 1,000 Women in Labor Force in Cincinnati is 51.0.
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.