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

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Highest 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 Most Births per 1,000 Women Below Poverty Level in Ohio

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Ohio Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 44619 1,000.0 56.0 (+944)#1 53.0 (+947)#34
2. 43738 714.0 56.0 (+658)#2 53.0 (+661)#85
3. 43006 583.0 56.0 (+527)#3 53.0 (+530)#134
4. 43070 545.0 56.0 (+489)#4 53.0 (+492)#148
5. 44639 514.0 56.0 (+458)#5 53.0 (+461)#162
6. 45654 513.0 56.0 (+457)#6 53.0 (+460)#163
7. 45051 443.0 56.0 (+387)#7 53.0 (+390)#221
8. 43127 422.0 56.0 (+366)#8 53.0 (+369)#231
9. 44844 377.0 56.0 (+321)#9 53.0 (+324)#289
10. 45353 375.0 56.0 (+319)#10 53.0 (+322)#292
11. 45332 363.0 56.0 (+307)#11 53.0 (+310)#318
12. 43940 333.0 56.0 (+277)#12 53.0 (+280)#367
13. 43973 332.0 56.0 (+276)#13 53.0 (+279)#388
14. 44082 326.0 56.0 (+270)#14 53.0 (+273)#393
15. 45821 311.0 56.0 (+255)#15 53.0 (+258)#423
16. 45812 299.0 56.0 (+243)#16 53.0 (+246)#459
17. 44699 292.0 56.0 (+236)#17 53.0 (+239)#477
18. 45864 286.0 56.0 (+230)#18 53.0 (+233)#509
19. 44625 279.0 56.0 (+223)#19 53.0 (+226)#529
20. 44450 276.0 56.0 (+220)#20 53.0 (+223)#543
21. 43747 271.0 56.0 (+215)#21 53.0 (+218)#559
22. 45868 253.0 56.0 (+197)#22 53.0 (+200)#639
23. 45330 227.0 56.0 (+171)#23 53.0 (+174)#790
24. 44454 225.0 56.0 (+169)#24 53.0 (+172)#804
25. 45770 222.0 56.0 (+166)#25 53.0 (+169)#820
26. 43080 221.0 56.0 (+165)#26 53.0 (+168)#829
27. 45131 216.0 56.0 (+160)#27 53.0 (+163)#857
28. 43844 212.0 56.0 (+156)#28 53.0 (+159)#867
29. 45204 203.0 56.0 (+147)#29 53.0 (+150)#942
30. 44680 200.0 56.0 (+144)#30 53.0 (+147)#973
31. 45826 191.0 56.0 (+135)#31 53.0 (+138)#1,088
32. 43002 190.0 56.0 (+134)#32 53.0 (+137)#1,098
33. 43749 188.0 56.0 (+132)#33 53.0 (+135)#1,116
34. 43787 187.0 56.0 (+131)#34 53.0 (+134)#1,132
35. 45156 182.0 56.0 (+126)#35 53.0 (+129)#1,202
36. 44638 180.0 56.0 (+124)#36 53.0 (+127)#1,213
37. 43345 179.0 56.0 (+123)#37 53.0 (+126)#1,229
38. 43802 177.0 56.0 (+121)#38 53.0 (+124)#1,257
39. 44633 176.0 56.0 (+120)#39 53.0 (+123)#1,262
40. 45848 176.0 56.0 (+120)#40 53.0 (+123)#1,275
41. 43533 175.0 56.0 (+119)#41 53.0 (+122)#1,281
42. 45696 173.0 56.0 (+117)#42 53.0 (+120)#1,322
43. 44675 172.0 56.0 (+116)#43 53.0 (+119)#1,332
44. 43438 167.0 56.0 (+111)#44 53.0 (+114)#1,446
45. 43416 164.0 56.0 (+108)#45 53.0 (+111)#1,484
46. 45225 162.0 56.0 (+106)#46 53.0 (+109)#1,510
47. 43910 161.0 56.0 (+105)#47 53.0 (+108)#1,532
48. 44814 159.0 56.0 (+103)#48 53.0 (+106)#1,570
49. 43824 157.0 56.0 (+101)#49 53.0 (+104)#1,612
50. 44843 155.0 56.0 (+99.0)#50 53.0 (+102)#1,644
51. 45232 154.0 56.0 (+98.0)#51 53.0 (+101)#1,657
52. 43778 153.0 56.0 (+97.0)#52 53.0 (+100.0)#1,686
53. 43014 150.0 56.0 (+94.0)#53 53.0 (+97.0)#1,742
54. 44250 150.0 56.0 (+94.0)#54 53.0 (+97.0)#1,749
55. 44417 150.0 56.0 (+94.0)#55 53.0 (+97.0)#1,750
56. 45865 146.0 56.0 (+90.0)#56 53.0 (+93.0)#1,830
57. 45828 145.0 56.0 (+89.0)#57 53.0 (+92.0)#1,853
58. 43060 145.0 56.0 (+89.0)#58 53.0 (+92.0)#1,860
59. 44404 145.0 56.0 (+89.0)#59 53.0 (+92.0)#1,862
60. 44887 144.0 56.0 (+88.0)#60 53.0 (+91.0)#1,894
61. 45001 144.0 56.0 (+88.0)#61 53.0 (+91.0)#1,895
62. 43136 143.0 56.0 (+87.0)#62 53.0 (+90.0)#1,917
63. 43962 143.0 56.0 (+87.0)#63 53.0 (+90.0)#1,938
64. 43526 140.0 56.0 (+84.0)#64 53.0 (+87.0)#1,986
65. 44847 140.0 56.0 (+84.0)#65 53.0 (+87.0)#1,989
66. 45745 140.0 56.0 (+84.0)#66 53.0 (+87.0)#1,996
67. 44880 139.0 56.0 (+83.0)#67 53.0 (+86.0)#2,023
68. 44423 136.0 56.0 (+80.0)#68 53.0 (+83.0)#2,124
69. 45342 135.0 56.0 (+79.0)#69 53.0 (+82.0)#2,144
70. 44620 135.0 56.0 (+79.0)#70 53.0 (+82.0)#2,157
71. 43463 135.0 56.0 (+79.0)#71 53.0 (+82.0)#2,175
72. 44878 134.0 56.0 (+78.0)#72 53.0 (+81.0)#2,194
73. 45321 133.0 56.0 (+77.0)#73 53.0 (+80.0)#2,234
74. 45348 133.0 56.0 (+77.0)#74 53.0 (+80.0)#2,238
75. 44050 132.0 56.0 (+76.0)#75 53.0 (+79.0)#2,254
76. 45101 131.0 56.0 (+75.0)#76 53.0 (+78.0)#2,294
77. 45326 131.0 56.0 (+75.0)#77 53.0 (+78.0)#2,299
78. 45352 128.0 56.0 (+72.0)#78 53.0 (+75.0)#2,427
79. 44052 127.0 56.0 (+71.0)#79 53.0 (+74.0)#2,430
80. 43145 127.0 56.0 (+71.0)#80 53.0 (+74.0)#2,446
81. 43318 126.0 56.0 (+70.0)#81 53.0 (+73.0)#2,484
82. 45410 125.0 56.0 (+69.0)#82 53.0 (+72.0)#2,501
83. 44618 125.0 56.0 (+69.0)#83 53.0 (+72.0)#2,509
84. 44644 125.0 56.0 (+69.0)#84 53.0 (+72.0)#2,514
85. 44640 125.0 56.0 (+69.0)#85 53.0 (+72.0)#2,548
86. 44115 123.0 56.0 (+67.0)#86 53.0 (+70.0)#2,604
87. 44003 123.0 56.0 (+67.0)#87 53.0 (+70.0)#2,609
88. 45310 123.0 56.0 (+67.0)#88 53.0 (+70.0)#2,644
89. 45876 122.0 56.0 (+66.0)#89 53.0 (+69.0)#2,674
90. 44826 121.0 56.0 (+65.0)#90 53.0 (+68.0)#2,718
91. 45362 121.0 56.0 (+65.0)#91 53.0 (+68.0)#2,719
92. 43310 119.0 56.0 (+63.0)#92 53.0 (+66.0)#2,776
93. 43739 119.0 56.0 (+63.0)#93 53.0 (+66.0)#2,777
94. 45672 118.0 56.0 (+62.0)#94 53.0 (+65.0)#2,836
95. 43156 118.0 56.0 (+62.0)#95 53.0 (+65.0)#2,861
96. 44305 117.0 56.0 (+61.0)#96 53.0 (+64.0)#2,868
97. 45308 117.0 56.0 (+61.0)#97 53.0 (+64.0)#2,882
98. 45142 117.0 56.0 (+61.0)#98 53.0 (+64.0)#2,885
99. 43322 117.0 56.0 (+61.0)#99 53.0 (+64.0)#2,909
100. 44104 116.0 56.0 (+60.0)#100 53.0 (+63.0)#2,913

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Ohio?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Ohio are:
#1
1,000.0
#2
714.0
#3
583.0
#4
545.0
#5
514.0
#6
513.0
#7
443.0
#8
422.0
#9
377.0
#10
375.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Ohio?
44619 has the Most Births per 1,000 Women Below Poverty Level in Ohio with 1,000.0.
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.