Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Ohio

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Highest Poverty | Child 0-16
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 Highest Poverty Level Among Children Under the Age of 16 in Ohio

40.0%
100.0%
Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Ohio Map

Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Ohio

Zip Code Child Poverty vs State vs National
1. 43842 100.0% 18.8% (+81.2)#1 16.9% (+83.1)#133
2. 45469 100.0% 18.8% (+81.2)#2 16.9% (+83.1)#145
3. 43531 100.0% 18.8% (+81.2)#3 16.9% (+83.1)#152
4. 44828 100.0% 18.8% (+81.2)#4 16.9% (+83.1)#162
5. 43325 100.0% 18.8% (+81.2)#5 16.9% (+83.1)#239
6. 43983 98.4% 18.8% (+79.6)#6 16.9% (+81.5)#291
7. 45770 90.8% 18.8% (+72.0)#7 16.9% (+73.9)#329
8. 43127 89.8% 18.8% (+71.0)#8 16.9% (+72.9)#341
9. 43768 87.8% 18.8% (+69.1)#9 16.9% (+70.9)#359
10. 43604 86.2% 18.8% (+67.4)#10 16.9% (+69.2)#379
11. 45353 84.6% 18.8% (+65.9)#11 16.9% (+67.7)#403
12. 45621 84.4% 18.8% (+65.6)#12 16.9% (+67.4)#404
13. 45203 84.0% 18.8% (+65.3)#13 16.9% (+67.1)#409
14. 45225 80.4% 18.8% (+61.6)#14 16.9% (+63.4)#480
15. 45204 79.9% 18.8% (+61.2)#15 16.9% (+63.0)#490
16. 45070 78.9% 18.8% (+60.2)#16 16.9% (+62.0)#505
17. 45616 78.1% 18.8% (+59.3)#17 16.9% (+61.1)#524
18. 44115 77.7% 18.8% (+59.0)#18 16.9% (+60.8)#529
19. 45773 77.2% 18.8% (+58.5)#19 16.9% (+60.3)#538
20. 43203 73.3% 18.8% (+54.5)#20 16.9% (+56.3)#618
21. 43608 73.3% 18.8% (+54.5)#21 16.9% (+56.3)#619
22. 44502 73.1% 18.8% (+54.4)#22 16.9% (+56.2)#622
23. 44104 73.0% 18.8% (+54.2)#23 16.9% (+56.0)#626
24. 43341 69.8% 18.8% (+51.1)#24 16.9% (+52.9)#719
25. 43721 69.1% 18.8% (+50.4)#25 16.9% (+52.2)#741
26. 44507 68.9% 18.8% (+50.2)#26 16.9% (+52.0)#751
27. 44902 68.9% 18.8% (+50.1)#27 16.9% (+52.0)#754
28. 44485 68.1% 18.8% (+49.4)#28 16.9% (+51.2)#784
29. 44510 67.3% 18.8% (+48.6)#29 16.9% (+50.4)#796
30. 43782 66.3% 18.8% (+47.6)#30 16.9% (+49.4)#838
31. 45403 66.1% 18.8% (+47.4)#31 16.9% (+49.2)#847
32. 45630 65.9% 18.8% (+47.1)#32 16.9% (+49.0)#854
33. 45214 65.7% 18.8% (+47.0)#33 16.9% (+48.8)#859
34. 43222 65.1% 18.8% (+46.3)#34 16.9% (+48.1)#886
35. 45232 64.8% 18.8% (+46.1)#35 16.9% (+47.9)#895
36. 43938 63.9% 18.8% (+45.1)#36 16.9% (+46.9)#931
37. 43926 63.0% 18.8% (+44.2)#37 16.9% (+46.0)#965
38. 43434 61.1% 18.8% (+42.4)#38 16.9% (+44.2)#1,041
39. 44113 59.9% 18.8% (+41.2)#39 16.9% (+43.0)#1,100
40. 44505 59.6% 18.8% (+40.8)#40 16.9% (+42.6)#1,117
41. 44881 58.3% 18.8% (+39.6)#41 16.9% (+41.4)#1,183
42. 44707 57.5% 18.8% (+38.7)#42 16.9% (+40.6)#1,233
43. 44450 56.4% 18.8% (+37.6)#43 16.9% (+39.5)#1,300
44. 44311 56.2% 18.8% (+37.4)#44 16.9% (+39.2)#1,314
45. 45160 56.0% 18.8% (+37.3)#45 16.9% (+39.1)#1,324
46. 44288 55.8% 18.8% (+37.1)#46 16.9% (+38.9)#1,339
47. 45741 55.6% 18.8% (+36.8)#47 16.9% (+38.6)#1,366
48. 45740 55.6% 18.8% (+36.8)#48 16.9% (+38.6)#1,370
49. 45417 55.5% 18.8% (+36.8)#49 16.9% (+38.6)#1,374
50. 44703 55.5% 18.8% (+36.8)#50 16.9% (+38.6)#1,376
51. 44704 55.2% 18.8% (+36.4)#51 16.9% (+38.2)#1,396
52. 43215 53.7% 18.8% (+35.0)#52 16.9% (+36.8)#1,496
53. 45229 53.4% 18.8% (+34.6)#53 16.9% (+36.5)#1,524
54. 44652 53.3% 18.8% (+34.6)#54 16.9% (+36.4)#1,529
55. 43605 53.0% 18.8% (+34.2)#55 16.9% (+36.0)#1,560
56. 44052 52.8% 18.8% (+34.0)#56 16.9% (+35.8)#1,576
57. 43620 52.7% 18.8% (+33.9)#57 16.9% (+35.7)#1,583
58. 44310 52.4% 18.8% (+33.6)#58 16.9% (+35.4)#1,614
59. 43529 51.2% 18.8% (+32.5)#59 16.9% (+34.3)#1,716
60. 43201 51.2% 18.8% (+32.5)#60 16.9% (+34.3)#1,723
61. 45719 50.8% 18.8% (+32.1)#61 16.9% (+33.9)#1,756
62. 43985 50.8% 18.8% (+32.1)#62 16.9% (+33.9)#1,757
63. 45361 50.6% 18.8% (+31.8)#63 16.9% (+33.6)#1,779
64. 44103 50.4% 18.8% (+31.7)#64 16.9% (+33.5)#1,793
65. 44509 50.2% 18.8% (+31.4)#65 16.9% (+33.2)#1,810
66. 45404 50.0% 18.8% (+31.3)#66 16.9% (+33.1)#1,817
67. 44611 50.0% 18.8% (+31.2)#67 16.9% (+33.1)#1,821
68. 43971 50.0% 18.8% (+31.2)#68 16.9% (+33.1)#1,824
69. 43037 50.0% 18.8% (+31.2)#69 16.9% (+33.1)#1,854
70. 43524 49.5% 18.8% (+30.7)#70 16.9% (+32.5)#1,893
71. 45164 49.4% 18.8% (+30.6)#71 16.9% (+32.4)#1,904
72. 45780 49.2% 18.8% (+30.5)#72 16.9% (+32.3)#1,910
73. 43128 49.2% 18.8% (+30.4)#73 16.9% (+32.3)#1,914
74. 45101 49.1% 18.8% (+30.4)#74 16.9% (+32.2)#1,920
75. 43211 49.1% 18.8% (+30.4)#75 16.9% (+32.2)#1,921
76. 43340 49.0% 18.8% (+30.3)#76 16.9% (+32.1)#1,928
77. 45345 48.4% 18.8% (+29.6)#77 16.9% (+31.4)#1,997
78. 43908 48.3% 18.8% (+29.6)#78 16.9% (+31.4)#2,000
79. 44108 48.3% 18.8% (+29.5)#79 16.9% (+31.3)#2,004
80. 44127 48.0% 18.8% (+29.3)#80 16.9% (+31.1)#2,032
81. 45001 47.3% 18.8% (+28.6)#81 16.9% (+30.4)#2,112
82. 44110 47.2% 18.8% (+28.4)#82 16.9% (+30.2)#2,136
83. 45205 46.7% 18.8% (+27.9)#83 16.9% (+29.8)#2,185
84. 44404 46.2% 18.8% (+27.4)#84 16.9% (+29.3)#2,250
85. 44114 46.0% 18.8% (+27.3)#85 16.9% (+29.1)#2,264
86. 43205 46.0% 18.8% (+27.3)#86 16.9% (+29.1)#2,268
87. 44135 46.0% 18.8% (+27.2)#87 16.9% (+29.0)#2,273
88. 43609 45.9% 18.8% (+27.2)#88 16.9% (+29.0)#2,286
89. 43348 45.7% 18.8% (+27.0)#89 16.9% (+28.8)#2,304
90. 44490 45.4% 18.8% (+26.7)#90 16.9% (+28.5)#2,355
91. 45679 45.2% 18.8% (+26.5)#91 16.9% (+28.3)#2,369
92. 43961 45.2% 18.8% (+26.4)#92 16.9% (+28.2)#2,382
93. 44506 45.2% 18.8% (+26.4)#93 16.9% (+28.2)#2,386
94. 43326 44.9% 18.8% (+26.1)#94 16.9% (+27.9)#2,423
95. 45812 44.7% 18.8% (+25.9)#95 16.9% (+27.7)#2,445
96. 44102 44.6% 18.8% (+25.9)#96 16.9% (+27.7)#2,447
97. 44695 44.6% 18.8% (+25.8)#97 16.9% (+27.7)#2,452
98. 44306 44.5% 18.8% (+25.7)#98 16.9% (+27.6)#2,461
99. 45662 44.2% 18.8% (+25.5)#99 16.9% (+27.3)#2,514
100. 44307 44.1% 18.8% (+25.4)#100 16.9% (+27.2)#2,526

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Ohio?
Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Ohio are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
98.4%
#7
90.8%
#8
89.8%
#9
87.8%
#10
86.2%
What zip code has the Highest Poverty Level Among Children Under the Age of 16 in Ohio?
43842 has the Highest Poverty Level Among Children Under the Age of 16 in Ohio with 100.0%.
What is the Poverty Level Among Children Under the Age of 16 in the State of Ohio?
Poverty Level Among Children Under the Age of 16 in Ohio is 18.8%.
What is the Poverty Level Among Children Under the Age of 16 in the United States?
Poverty Level Among Children Under the Age of 16 in the United States is 16.9%.