Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Ohio

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Lowest Birth Rate | Below Poverty
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 Fewest Births per 1,000 Women Below Poverty Level in Ohio

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Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Ohio Map

Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Ohio

Zip Code Births / 1,000 Women vs State vs National
1. 44114 1.0 56.0 (-55.0)#1 53.0 (-52.0)#3
2. 43532 2.0 56.0 (-54.0)#2 53.0 (-51.0)#28
3. 43340 2.0 56.0 (-54.0)#3 53.0 (-51.0)#38
4. 45692 3.0 56.0 (-53.0)#4 53.0 (-50.0)#48
5. 45723 3.0 56.0 (-53.0)#5 53.0 (-50.0)#61
6. 45623 3.0 56.0 (-53.0)#6 53.0 (-50.0)#62
7. 45220 4.0 56.0 (-52.0)#7 53.0 (-49.0)#85
8. 45613 4.0 56.0 (-52.0)#8 53.0 (-49.0)#119
9. 45162 4.0 56.0 (-52.0)#9 53.0 (-49.0)#122
10. 43071 4.0 56.0 (-52.0)#10 53.0 (-49.0)#125
11. 43356 4.0 56.0 (-52.0)#11 53.0 (-49.0)#132
12. 43953 5.0 56.0 (-51.0)#12 53.0 (-48.0)#143
13. 43756 5.0 56.0 (-51.0)#13 53.0 (-48.0)#154
14. 43754 5.0 56.0 (-51.0)#14 53.0 (-48.0)#187
15. 45769 6.0 56.0 (-50.0)#15 53.0 (-47.0)#224
16. 43845 6.0 56.0 (-50.0)#16 53.0 (-47.0)#227
17. 44127 6.0 56.0 (-50.0)#17 53.0 (-47.0)#230
18. 45685 6.0 56.0 (-50.0)#18 53.0 (-47.0)#257
19. 43215 7.0 56.0 (-49.0)#19 53.0 (-46.0)#283
20. 43773 7.0 56.0 (-49.0)#20 53.0 (-46.0)#315
21. 43719 7.0 56.0 (-49.0)#21 53.0 (-46.0)#321
22. 45382 7.0 56.0 (-49.0)#22 53.0 (-46.0)#340
23. 45067 8.0 56.0 (-48.0)#23 53.0 (-45.0)#363
24. 45845 8.0 56.0 (-48.0)#24 53.0 (-45.0)#395
25. 43728 8.0 56.0 (-48.0)#25 53.0 (-45.0)#423
26. 43724 9.0 56.0 (-47.0)#26 53.0 (-44.0)#475
27. 45118 9.0 56.0 (-47.0)#27 53.0 (-44.0)#501
28. 45433 9.0 56.0 (-47.0)#28 53.0 (-44.0)#536
29. 43766 9.0 56.0 (-47.0)#29 53.0 (-44.0)#547
30. 43084 9.0 56.0 (-47.0)#30 53.0 (-44.0)#563
31. 45056 10.0 56.0 (-46.0)#31 53.0 (-43.0)#585
32. 43360 10.0 56.0 (-46.0)#32 53.0 (-43.0)#655
33. 43144 10.0 56.0 (-46.0)#33 53.0 (-43.0)#695
34. 43458 10.0 56.0 (-46.0)#34 53.0 (-43.0)#700
35. 43201 11.0 56.0 (-45.0)#35 53.0 (-42.0)#705
36. 43135 11.0 56.0 (-45.0)#36 53.0 (-42.0)#760
37. 43045 11.0 56.0 (-45.0)#37 53.0 (-42.0)#782
38. 44804 11.0 56.0 (-45.0)#38 53.0 (-42.0)#790
39. 43755 11.0 56.0 (-45.0)#39 53.0 (-42.0)#796
40. 45894 11.0 56.0 (-45.0)#40 53.0 (-42.0)#822
41. 45068 12.0 56.0 (-44.0)#41 53.0 (-41.0)#853
42. 45206 12.0 56.0 (-44.0)#42 53.0 (-41.0)#857
43. 44408 12.0 56.0 (-44.0)#43 53.0 (-41.0)#859
44. 45693 12.0 56.0 (-44.0)#44 53.0 (-41.0)#863
45. 44455 12.0 56.0 (-44.0)#45 53.0 (-41.0)#929
46. 45389 12.0 56.0 (-44.0)#46 53.0 (-41.0)#961
47. 44406 13.0 56.0 (-43.0)#47 53.0 (-40.0)#979
48. 44438 13.0 56.0 (-43.0)#48 53.0 (-40.0)#1,032
49. 45052 13.0 56.0 (-43.0)#49 53.0 (-40.0)#1,042
50. 45841 13.0 56.0 (-43.0)#50 53.0 (-40.0)#1,102
51. 44057 14.0 56.0 (-42.0)#51 53.0 (-39.0)#1,137
52. 45229 14.0 56.0 (-42.0)#52 53.0 (-39.0)#1,146
53. 45697 14.0 56.0 (-42.0)#53 53.0 (-39.0)#1,172
54. 44882 14.0 56.0 (-42.0)#54 53.0 (-39.0)#1,211
55. 43549 14.0 56.0 (-42.0)#55 53.0 (-39.0)#1,242
56. 43343 14.0 56.0 (-42.0)#56 53.0 (-39.0)#1,253
57. 45358 14.0 56.0 (-42.0)#57 53.0 (-39.0)#1,278
58. 43740 14.0 56.0 (-42.0)#58 53.0 (-39.0)#1,283
59. 45701 15.0 56.0 (-41.0)#59 53.0 (-38.0)#1,286
60. 45219 15.0 56.0 (-41.0)#60 53.0 (-38.0)#1,301
61. 44622 15.0 56.0 (-41.0)#61 53.0 (-38.0)#1,303
62. 45135 15.0 56.0 (-41.0)#62 53.0 (-38.0)#1,347
63. 44072 15.0 56.0 (-41.0)#63 53.0 (-38.0)#1,351
64. 43522 15.0 56.0 (-41.0)#64 53.0 (-38.0)#1,363
65. 45370 15.0 56.0 (-41.0)#65 53.0 (-38.0)#1,385
66. 43155 15.0 56.0 (-41.0)#66 53.0 (-38.0)#1,397
67. 45153 15.0 56.0 (-41.0)#67 53.0 (-38.0)#1,398
68. 43413 15.0 56.0 (-41.0)#68 53.0 (-38.0)#1,446
69. 43033 15.0 56.0 (-41.0)#69 53.0 (-38.0)#1,465
70. 44117 16.0 56.0 (-40.0)#70 53.0 (-37.0)#1,512
71. 44445 16.0 56.0 (-40.0)#71 53.0 (-37.0)#1,564
72. 45786 16.0 56.0 (-40.0)#72 53.0 (-37.0)#1,571
73. 43772 16.0 56.0 (-40.0)#73 53.0 (-37.0)#1,592
74. 43913 16.0 56.0 (-40.0)#74 53.0 (-37.0)#1,616
75. 45415 17.0 56.0 (-39.0)#75 53.0 (-36.0)#1,682
76. 44504 17.0 56.0 (-39.0)#76 53.0 (-36.0)#1,716
77. 44428 17.0 56.0 (-39.0)#77 53.0 (-36.0)#1,741
78. 44682 17.0 56.0 (-39.0)#78 53.0 (-36.0)#1,783
79. 45361 17.0 56.0 (-39.0)#79 53.0 (-36.0)#1,809
80. 43350 17.0 56.0 (-39.0)#80 53.0 (-36.0)#1,815
81. 44314 18.0 56.0 (-38.0)#81 53.0 (-35.0)#1,839
82. 44304 18.0 56.0 (-38.0)#82 53.0 (-35.0)#1,907
83. 44032 18.0 56.0 (-38.0)#83 53.0 (-35.0)#1,958
84. 43981 18.0 56.0 (-38.0)#84 53.0 (-35.0)#1,996
85. 44231 19.0 56.0 (-37.0)#85 53.0 (-34.0)#2,062
86. 44311 19.0 56.0 (-37.0)#86 53.0 (-34.0)#2,070
87. 43469 19.0 56.0 (-37.0)#87 53.0 (-34.0)#2,120
88. 45346 19.0 56.0 (-37.0)#88 53.0 (-34.0)#2,130
89. 44411 19.0 56.0 (-37.0)#89 53.0 (-34.0)#2,131
90. 45881 19.0 56.0 (-37.0)#90 53.0 (-34.0)#2,155
91. 44628 19.0 56.0 (-37.0)#91 53.0 (-34.0)#2,159
92. 45680 20.0 56.0 (-36.0)#92 53.0 (-33.0)#2,239
93. 45311 20.0 56.0 (-36.0)#93 53.0 (-33.0)#2,277
94. 44442 20.0 56.0 (-36.0)#94 53.0 (-33.0)#2,304
95. 44234 20.0 56.0 (-36.0)#95 53.0 (-33.0)#2,305
96. 44611 20.0 56.0 (-36.0)#96 53.0 (-33.0)#2,338
97. 43903 20.0 56.0 (-36.0)#97 53.0 (-33.0)#2,339
98. 43986 20.0 56.0 (-36.0)#98 53.0 (-33.0)#2,353
99. 43534 20.0 56.0 (-36.0)#99 53.0 (-33.0)#2,365
100. 44251 20.0 56.0 (-36.0)#100 53.0 (-33.0)#2,384

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Ohio?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Ohio are:
#1
1.0
#2
2.0
#3
2.0
#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 Below Poverty Level in Ohio?
44114 has the Fewest Births per 1,000 Women Below Poverty Level in Ohio with 1.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Ohio?
Number of Births per 1,000 Women Below Poverty Level in Ohio is 56.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.