Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Cincinnati, 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)
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
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Physical Characteristics
Cincinnati
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 45206 2.0 51.0 (-49.0)#2 48.0 (-46.0)#17
2. 45220 3.0 51.0 (-48.0)#3 48.0 (-45.0)#44
3. 45219 7.0 51.0 (-44.0)#26 48.0 (-41.0)#321
4. 45205 19.0 51.0 (-32.0)#109 48.0 (-29.0)#2,371
5. 45202 20.0 51.0 (-31.0)#119 48.0 (-28.0)#2,611
6. 45229 20.0 51.0 (-31.0)#120 48.0 (-28.0)#2,629
7. 45207 22.0 51.0 (-29.0)#138 48.0 (-26.0)#3,191
8. 45255 26.0 51.0 (-25.0)#180 48.0 (-22.0)#4,211
9. 45233 32.0 51.0 (-19.0)#232 48.0 (-16.0)#6,028
10. 45215 33.0 51.0 (-18.0)#243 48.0 (-15.0)#6,303
11. 45249 36.0 51.0 (-15.0)#278 48.0 (-12.0)#7,299
12. 45218 37.0 51.0 (-14.0)#290 48.0 (-11.0)#7,734
13. 45212 41.0 51.0 (-10.00)#326 48.0 (-7.00)#8,943
14. 45208 42.0 51.0 (-9.00)#334 48.0 (-6.00)#9,277
15. 45231 45.0 51.0 (-6.00)#366 48.0 (-3.00)#10,151
16. 45213 47.0 51.0 (-4.00)#402 48.0 (-1.000)#10,925
17. 45242 48.0 51.0 (-3.00)#412 48.0 (=0.000)#11,156
18. 45240 50.0 51.0 (-1.000)#438 48.0 (+2.00)#11,735
19. 45245 50.0 51.0 (-1.000)#441 48.0 (+2.00)#11,770
20. 45248 51.0 51.0 (=0.000)#453 48.0 (+3.00)#12,052
21. 45239 54.0 51.0 (+3.00)#482 48.0 (+6.00)#12,872
22. 45244 56.0 51.0 (+5.00)#502 48.0 (+8.00)#13,437
23. 45230 56.0 51.0 (+5.00)#503 48.0 (+8.00)#13,444
24. 45209 56.0 51.0 (+5.00)#505 48.0 (+8.00)#13,514
25. 45237 58.0 51.0 (+7.00)#520 48.0 (+10.00)#13,968
26. 45227 58.0 51.0 (+7.00)#521 48.0 (+10.00)#13,978
27. 45243 58.0 51.0 (+7.00)#523 48.0 (+10.00)#13,992
28. 45225 58.0 51.0 (+7.00)#524 48.0 (+10.00)#14,017
29. 45214 59.0 51.0 (+8.00)#536 48.0 (+11.0)#14,260
30. 45238 60.0 51.0 (+9.00)#543 48.0 (+12.0)#14,382
31. 45252 62.0 51.0 (+11.0)#569 48.0 (+14.0)#14,938
32. 45247 65.0 51.0 (+14.0)#589 48.0 (+17.0)#15,503
33. 45224 66.0 51.0 (+15.0)#598 48.0 (+18.0)#15,719
34. 45251 67.0 51.0 (+16.0)#606 48.0 (+19.0)#15,901
35. 45217 69.0 51.0 (+18.0)#625 48.0 (+21.0)#16,351
36. 45216 74.0 51.0 (+23.0)#665 48.0 (+26.0)#17,153
37. 45226 77.0 51.0 (+26.0)#682 48.0 (+29.0)#17,583
38. 45241 87.0 51.0 (+36.0)#730 48.0 (+39.0)#18,685
39. 45236 92.0 51.0 (+41.0)#754 48.0 (+44.0)#19,163
40. 45204 93.0 51.0 (+42.0)#757 48.0 (+45.0)#19,253
41. 45223 101.0 51.0 (+50.0)#780 48.0 (+53.0)#19,783
42. 45203 106.0 51.0 (+55.0)#794 48.0 (+58.0)#20,101
43. 45211 113.0 51.0 (+62.0)#808 48.0 (+65.0)#20,429
44. 45246 128.0 51.0 (+77.0)#831 48.0 (+80.0)#20,995
45. 45232 142.0 51.0 (+91.0)#845 48.0 (+94.0)#21,384

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Cincinnati, OH?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Cincinnati, OH are:
#1
2.0
#2
3.0
#3
7.0
#4
19.0
#5
20.0
#6
20.0
#7
22.0
#8
26.0
#9
32.0
#10
33.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Cincinnati, OH?
45206 has the Lowest Births per 1,000 Women in Labor Force in Cincinnati, OH with 2.0.
What is the Number Births per 1,000 Women in Labor Force in Cincinnati, OH?
Number Births per 1,000 Women in Labor Force in Cincinnati is 51.0.
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.