Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Ohio

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Lowest Birth Rate | Women 35+
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
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
Ohio
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Comparison Subject

Map of Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Ohio

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Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Ohio Map

Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Ohio

Zip Code Births / 1,000 Women vs State vs National
1. 43725 2.0 27.0 (-25.0)#1 32.0 (-30.0)#64
2. 43620 2.0 27.0 (-25.0)#2 32.0 (-30.0)#98
3. 44105 3.0 27.0 (-24.0)#3 32.0 (-29.0)#117
4. 44425 3.0 27.0 (-24.0)#4 32.0 (-29.0)#160
5. 44509 3.0 27.0 (-24.0)#5 32.0 (-29.0)#168
6. 45769 3.0 27.0 (-24.0)#6 32.0 (-29.0)#194
7. 44121 4.0 27.0 (-23.0)#7 32.0 (-28.0)#234
8. 44146 4.0 27.0 (-23.0)#8 32.0 (-28.0)#241
9. 45431 4.0 27.0 (-23.0)#9 32.0 (-28.0)#244
10. 44278 4.0 27.0 (-23.0)#10 32.0 (-28.0)#275
11. 43056 4.0 27.0 (-23.0)#11 32.0 (-28.0)#282
12. 44301 4.0 27.0 (-23.0)#12 32.0 (-28.0)#297
13. 45377 4.0 27.0 (-23.0)#13 32.0 (-28.0)#300
14. 45381 4.0 27.0 (-23.0)#14 32.0 (-28.0)#346
15. 45623 4.0 27.0 (-23.0)#15 32.0 (-28.0)#364
16. 43310 4.0 27.0 (-23.0)#16 32.0 (-28.0)#374
17. 43164 4.0 27.0 (-23.0)#17 32.0 (-28.0)#386
18. 45133 5.0 27.0 (-22.0)#18 32.0 (-27.0)#429
19. 43211 5.0 27.0 (-22.0)#19 32.0 (-27.0)#438
20. 44333 5.0 27.0 (-22.0)#20 32.0 (-27.0)#450
21. 44112 5.0 27.0 (-22.0)#21 32.0 (-27.0)#455
22. 44906 5.0 27.0 (-22.0)#22 32.0 (-27.0)#465
23. 45152 5.0 27.0 (-22.0)#23 32.0 (-27.0)#480
24. 45068 5.0 27.0 (-22.0)#24 32.0 (-27.0)#486
25. 45368 5.0 27.0 (-22.0)#25 32.0 (-27.0)#546
26. 45118 5.0 27.0 (-22.0)#26 32.0 (-27.0)#552
27. 45205 6.0 27.0 (-21.0)#27 32.0 (-26.0)#651
28. 44054 6.0 27.0 (-21.0)#28 32.0 (-26.0)#686
29. 44028 6.0 27.0 (-21.0)#29 32.0 (-26.0)#714
30. 45232 6.0 27.0 (-21.0)#30 32.0 (-26.0)#716
31. 45832 6.0 27.0 (-21.0)#31 32.0 (-26.0)#757
32. 43340 6.0 27.0 (-21.0)#32 32.0 (-26.0)#768
33. 44203 7.0 27.0 (-20.0)#33 32.0 (-25.0)#790
34. 44004 7.0 27.0 (-20.0)#34 32.0 (-25.0)#801
35. 44024 7.0 27.0 (-20.0)#35 32.0 (-25.0)#824
36. 45804 7.0 27.0 (-20.0)#36 32.0 (-25.0)#871
37. 45002 7.0 27.0 (-20.0)#37 32.0 (-25.0)#875
38. 45157 7.0 27.0 (-20.0)#38 32.0 (-25.0)#902
39. 44827 7.0 27.0 (-20.0)#39 32.0 (-25.0)#924
40. 43044 7.0 27.0 (-20.0)#40 32.0 (-25.0)#935
41. 43793 7.0 27.0 (-20.0)#41 32.0 (-25.0)#945
42. 45302 7.0 27.0 (-20.0)#42 32.0 (-25.0)#946
43. 44214 7.0 27.0 (-20.0)#43 32.0 (-25.0)#985
44. 45365 8.0 27.0 (-19.0)#44 32.0 (-24.0)#1,052
45. 43952 8.0 27.0 (-19.0)#45 32.0 (-24.0)#1,099
46. 43567 8.0 27.0 (-19.0)#46 32.0 (-24.0)#1,137
47. 45885 8.0 27.0 (-19.0)#47 32.0 (-24.0)#1,138
48. 45122 8.0 27.0 (-19.0)#48 32.0 (-24.0)#1,152
49. 43351 8.0 27.0 (-19.0)#49 32.0 (-24.0)#1,157
50. 45327 8.0 27.0 (-19.0)#50 32.0 (-24.0)#1,176
51. 44882 8.0 27.0 (-19.0)#51 32.0 (-24.0)#1,257
52. 43356 8.0 27.0 (-19.0)#52 32.0 (-24.0)#1,274
53. 44060 9.0 27.0 (-18.0)#53 32.0 (-23.0)#1,283
54. 45840 9.0 27.0 (-18.0)#54 32.0 (-23.0)#1,284
55. 45044 9.0 27.0 (-18.0)#55 32.0 (-23.0)#1,286
56. 43202 9.0 27.0 (-18.0)#56 32.0 (-23.0)#1,349
57. 45406 9.0 27.0 (-18.0)#57 32.0 (-23.0)#1,352
58. 45410 9.0 27.0 (-18.0)#58 32.0 (-23.0)#1,369
59. 45344 9.0 27.0 (-18.0)#59 32.0 (-23.0)#1,375
60. 44485 9.0 27.0 (-18.0)#60 32.0 (-23.0)#1,384
61. 45833 9.0 27.0 (-18.0)#61 32.0 (-23.0)#1,408
62. 45206 9.0 27.0 (-18.0)#62 32.0 (-23.0)#1,410
63. 45669 9.0 27.0 (-18.0)#63 32.0 (-23.0)#1,417
64. 43019 9.0 27.0 (-18.0)#64 32.0 (-23.0)#1,421
65. 44481 9.0 27.0 (-18.0)#65 32.0 (-23.0)#1,423
66. 44842 9.0 27.0 (-18.0)#66 32.0 (-23.0)#1,457
67. 43416 9.0 27.0 (-18.0)#67 32.0 (-23.0)#1,501
68. 45036 10.0 27.0 (-17.0)#68 32.0 (-22.0)#1,561
69. 44720 10.0 27.0 (-17.0)#69 32.0 (-22.0)#1,568
70. 44805 10.0 27.0 (-17.0)#70 32.0 (-22.0)#1,596
71. 45805 10.0 27.0 (-17.0)#71 32.0 (-22.0)#1,617
72. 44406 10.0 27.0 (-17.0)#72 32.0 (-22.0)#1,629
73. 45505 10.0 27.0 (-17.0)#73 32.0 (-22.0)#1,635
74. 45220 10.0 27.0 (-17.0)#74 32.0 (-22.0)#1,666
75. 44119 10.0 27.0 (-17.0)#75 32.0 (-22.0)#1,669
76. 43953 10.0 27.0 (-17.0)#76 32.0 (-22.0)#1,685
77. 44408 10.0 27.0 (-17.0)#77 32.0 (-22.0)#1,692
78. 45176 10.0 27.0 (-17.0)#78 32.0 (-22.0)#1,696
79. 43571 10.0 27.0 (-17.0)#79 32.0 (-22.0)#1,727
80. 43162 10.0 27.0 (-17.0)#80 32.0 (-22.0)#1,731
81. 44804 10.0 27.0 (-17.0)#81 32.0 (-22.0)#1,804
82. 45103 11.0 27.0 (-16.0)#82 32.0 (-21.0)#1,844
83. 45701 11.0 27.0 (-16.0)#83 32.0 (-21.0)#1,852
84. 45750 11.0 27.0 (-16.0)#84 32.0 (-21.0)#1,876
85. 44460 11.0 27.0 (-16.0)#85 32.0 (-21.0)#1,878
86. 45420 11.0 27.0 (-16.0)#86 32.0 (-21.0)#1,884
87. 44144 11.0 27.0 (-16.0)#87 32.0 (-21.0)#1,896
88. 44057 11.0 27.0 (-16.0)#88 32.0 (-21.0)#1,906
89. 44104 11.0 27.0 (-16.0)#89 32.0 (-21.0)#1,911
90. 43215 11.0 27.0 (-16.0)#90 32.0 (-21.0)#1,924
91. 44432 11.0 27.0 (-16.0)#91 32.0 (-21.0)#1,950
92. 43832 11.0 27.0 (-16.0)#92 32.0 (-21.0)#2,000
93. 44050 11.0 27.0 (-16.0)#93 32.0 (-21.0)#2,001
94. 44021 11.0 27.0 (-16.0)#94 32.0 (-21.0)#2,022
95. 44608 11.0 27.0 (-16.0)#95 32.0 (-21.0)#2,073
96. 43535 11.0 27.0 (-16.0)#96 32.0 (-21.0)#2,111
97. 43615 12.0 27.0 (-15.0)#97 32.0 (-20.0)#2,135
98. 45150 12.0 27.0 (-15.0)#98 32.0 (-20.0)#2,146
99. 44601 12.0 27.0 (-15.0)#99 32.0 (-20.0)#2,153
100. 43402 12.0 27.0 (-15.0)#100 32.0 (-20.0)#2,161

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Ohio?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Over the Age of 35 in Ohio are:
#1
2.0
#2
2.0
#3
3.0
#4
3.0
#5
3.0
#6
3.0
#7
4.0
#8
4.0
#9
4.0
#10
4.0
What zip code has the Fewest Births per 1,000 Women Over the Age of 35 in Ohio?
43725 has the Fewest Births per 1,000 Women Over the Age of 35 in Ohio with 2.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the State of Ohio?
Number of Births per 1,000 Women Over the Age of 35 in Ohio is 27.0.
What is the Number of Births per 1,000 Women Over the Age of 35 in the United States?
Number of Births per 1,000 Women Over the Age of 35 in the United States is 32.0.