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

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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)
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
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 44114 1.0 51.0 (-50.0)#1 48.0 (-47.0)#6
2. 45206 2.0 51.0 (-49.0)#2 48.0 (-46.0)#17
3. 45220 3.0 51.0 (-48.0)#3 48.0 (-45.0)#44
4. 45619 3.0 51.0 (-48.0)#4 48.0 (-45.0)#59
5. 45628 3.0 51.0 (-48.0)#5 48.0 (-45.0)#67
6. 43112 3.0 51.0 (-48.0)#6 48.0 (-45.0)#69
7. 44709 4.0 51.0 (-47.0)#7 48.0 (-44.0)#96
8. 45693 4.0 51.0 (-47.0)#8 48.0 (-44.0)#109
9. 43777 4.0 51.0 (-47.0)#9 48.0 (-44.0)#128
10. 43845 4.0 51.0 (-47.0)#10 48.0 (-44.0)#130
11. 43522 4.0 51.0 (-47.0)#11 48.0 (-44.0)#137
12. 45118 4.0 51.0 (-47.0)#12 48.0 (-44.0)#141
13. 45623 4.0 51.0 (-47.0)#13 48.0 (-44.0)#142
14. 43340 4.0 51.0 (-47.0)#14 48.0 (-44.0)#156
15. 44062 5.0 51.0 (-46.0)#15 48.0 (-43.0)#176
16. 45692 5.0 51.0 (-46.0)#16 48.0 (-43.0)#186
17. 45644 5.0 51.0 (-46.0)#17 48.0 (-43.0)#201
18. 45836 5.0 51.0 (-46.0)#18 48.0 (-43.0)#228
19. 43201 6.0 51.0 (-45.0)#19 48.0 (-42.0)#232
20. 45056 6.0 51.0 (-45.0)#20 48.0 (-42.0)#236
21. 44654 6.0 51.0 (-45.0)#21 48.0 (-42.0)#243
22. 45613 6.0 51.0 (-45.0)#22 48.0 (-42.0)#285
23. 45162 6.0 51.0 (-45.0)#23 48.0 (-42.0)#286
24. 43071 6.0 51.0 (-45.0)#24 48.0 (-42.0)#289
25. 43356 6.0 51.0 (-45.0)#25 48.0 (-42.0)#301
26. 45219 7.0 51.0 (-44.0)#26 48.0 (-41.0)#321
27. 43953 7.0 51.0 (-44.0)#27 48.0 (-41.0)#326
28. 45311 7.0 51.0 (-44.0)#28 48.0 (-41.0)#349
29. 43756 7.0 51.0 (-44.0)#29 48.0 (-41.0)#358
30. 44840 7.0 51.0 (-44.0)#30 48.0 (-41.0)#374
31. 43772 7.0 51.0 (-44.0)#31 48.0 (-41.0)#386
32. 45701 8.0 51.0 (-43.0)#32 48.0 (-40.0)#412
33. 43215 8.0 51.0 (-43.0)#33 48.0 (-40.0)#420
34. 44311 8.0 51.0 (-43.0)#34 48.0 (-40.0)#453
35. 44307 8.0 51.0 (-43.0)#35 48.0 (-40.0)#463
36. 45697 8.0 51.0 (-43.0)#36 48.0 (-40.0)#465
37. 45681 8.0 51.0 (-43.0)#37 48.0 (-40.0)#525
38. 44904 9.0 51.0 (-42.0)#38 48.0 (-39.0)#568
39. 45810 9.0 51.0 (-42.0)#39 48.0 (-39.0)#590
40. 45769 9.0 51.0 (-42.0)#40 48.0 (-39.0)#594
41. 43977 9.0 51.0 (-42.0)#41 48.0 (-39.0)#633
42. 43360 9.0 51.0 (-42.0)#42 48.0 (-39.0)#640
43. 44804 9.0 51.0 (-42.0)#43 48.0 (-39.0)#643
44. 45685 9.0 51.0 (-42.0)#44 48.0 (-39.0)#646
45. 45382 9.0 51.0 (-42.0)#45 48.0 (-39.0)#655
46. 45674 9.0 51.0 (-42.0)#46 48.0 (-39.0)#666
47. 45851 9.0 51.0 (-42.0)#47 48.0 (-39.0)#671
48. 45067 10.0 51.0 (-41.0)#48 48.0 (-38.0)#702
49. 44054 10.0 51.0 (-41.0)#49 48.0 (-38.0)#705
50. 45680 10.0 51.0 (-41.0)#50 48.0 (-38.0)#709
51. 44231 10.0 51.0 (-41.0)#51 48.0 (-38.0)#729
52. 44813 10.0 51.0 (-41.0)#52 48.0 (-38.0)#730
53. 44127 10.0 51.0 (-41.0)#53 48.0 (-38.0)#763
54. 45845 10.0 51.0 (-41.0)#54 48.0 (-38.0)#772
55. 43716 10.0 51.0 (-41.0)#55 48.0 (-38.0)#791
56. 44689 10.0 51.0 (-41.0)#56 48.0 (-38.0)#830
57. 45121 11.0 51.0 (-40.0)#57 48.0 (-37.0)#872
58. 43968 11.0 51.0 (-40.0)#58 48.0 (-37.0)#895
59. 43450 11.0 51.0 (-40.0)#59 48.0 (-37.0)#924
60. 44629 11.0 51.0 (-40.0)#60 48.0 (-37.0)#940
61. 43045 11.0 51.0 (-40.0)#61 48.0 (-37.0)#955
62. 45634 11.0 51.0 (-40.0)#62 48.0 (-37.0)#965
63. 44485 12.0 51.0 (-39.0)#63 48.0 (-36.0)#1,021
64. 44117 12.0 51.0 (-39.0)#64 48.0 (-36.0)#1,045
65. 43758 12.0 51.0 (-39.0)#65 48.0 (-36.0)#1,104
66. 43084 12.0 51.0 (-39.0)#66 48.0 (-36.0)#1,150
67. 44842 13.0 51.0 (-38.0)#67 48.0 (-35.0)#1,253
68. 43762 13.0 51.0 (-38.0)#68 48.0 (-35.0)#1,256
69. 44882 13.0 51.0 (-38.0)#69 48.0 (-35.0)#1,299
70. 44429 13.0 51.0 (-38.0)#70 48.0 (-35.0)#1,302
71. 45729 13.0 51.0 (-38.0)#71 48.0 (-35.0)#1,305
72. 43076 14.0 51.0 (-37.0)#72 48.0 (-34.0)#1,406
73. 45879 14.0 51.0 (-37.0)#73 48.0 (-34.0)#1,424
74. 44504 14.0 51.0 (-37.0)#74 48.0 (-34.0)#1,438
75. 44440 14.0 51.0 (-37.0)#75 48.0 (-34.0)#1,442
76. 43102 14.0 51.0 (-37.0)#76 48.0 (-34.0)#1,447
77. 45850 14.0 51.0 (-37.0)#77 48.0 (-34.0)#1,456
78. 45771 14.0 51.0 (-37.0)#78 48.0 (-34.0)#1,458
79. 43150 14.0 51.0 (-37.0)#79 48.0 (-34.0)#1,474
80. 45881 14.0 51.0 (-37.0)#80 48.0 (-34.0)#1,503
81. 43402 15.0 51.0 (-36.0)#81 48.0 (-33.0)#1,545
82. 44057 15.0 51.0 (-36.0)#82 48.0 (-33.0)#1,559
83. 45714 15.0 51.0 (-36.0)#83 48.0 (-33.0)#1,597
84. 45370 15.0 51.0 (-36.0)#84 48.0 (-33.0)#1,655
85. 45715 15.0 51.0 (-36.0)#85 48.0 (-33.0)#1,678
86. 43320 15.0 51.0 (-36.0)#86 48.0 (-33.0)#1,697
87. 45339 15.0 51.0 (-36.0)#87 48.0 (-33.0)#1,705
88. 45135 16.0 51.0 (-35.0)#88 48.0 (-32.0)#1,822
89. 45052 16.0 51.0 (-35.0)#89 48.0 (-32.0)#1,840
90. 43610 16.0 51.0 (-35.0)#90 48.0 (-32.0)#1,843
91. 45841 16.0 51.0 (-35.0)#91 48.0 (-32.0)#1,900
92. 43740 16.0 51.0 (-35.0)#92 48.0 (-32.0)#1,923
93. 44406 17.0 51.0 (-34.0)#93 48.0 (-31.0)#1,954
94. 44622 17.0 51.0 (-34.0)#94 48.0 (-31.0)#1,960
95. 45068 17.0 51.0 (-34.0)#95 48.0 (-31.0)#1,978
96. 44615 17.0 51.0 (-34.0)#96 48.0 (-31.0)#1,986
97. 43935 17.0 51.0 (-34.0)#97 48.0 (-31.0)#1,993
98. 43619 17.0 51.0 (-34.0)#98 48.0 (-31.0)#2,003
99. 43549 17.0 51.0 (-34.0)#99 48.0 (-31.0)#2,083
100. 43766 17.0 51.0 (-34.0)#100 48.0 (-31.0)#2,091

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Ohio?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Ohio are:
#1
1.0
#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 Lowest Births per 1,000 Women in Labor Force in Ohio?
44114 has the Lowest Births per 1,000 Women in Labor Force in Ohio with 1.0.
What is the Number Births per 1,000 Women in Labor Force in the State of 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.