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

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Highest Poverty | Girls 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 Child Poverty Level Among Girls Under the Age of 16 in Ohio

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

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

Zip Code Child Poverty (Girls) vs State vs National
1. 45770 100.0% 18.7% (+81.3)#1 17.0% (+83.0)#52
2. 43983 100.0% 18.7% (+81.3)#2 17.0% (+83.0)#110
3. 45630 100.0% 18.7% (+81.3)#3 17.0% (+83.0)#129
4. 43158 100.0% 18.7% (+81.3)#4 17.0% (+83.0)#153
5. 43735 100.0% 18.7% (+81.3)#5 17.0% (+83.0)#155
6. 43721 100.0% 18.7% (+81.3)#6 17.0% (+83.0)#173
7. 43127 100.0% 18.7% (+81.3)#7 17.0% (+83.0)#217
8. 45469 100.0% 18.7% (+81.3)#8 17.0% (+83.0)#264
9. 43531 100.0% 18.7% (+81.3)#9 17.0% (+83.0)#273
10. 44828 100.0% 18.7% (+81.3)#10 17.0% (+83.0)#282
11. 43325 100.0% 18.7% (+81.3)#11 17.0% (+83.0)#362
12. 45203 90.4% 18.7% (+71.7)#12 17.0% (+73.4)#434
13. 45616 88.5% 18.7% (+69.8)#13 17.0% (+71.5)#451
14. 43604 87.4% 18.7% (+68.7)#14 17.0% (+70.4)#463
15. 45719 84.6% 18.7% (+65.9)#15 17.0% (+67.6)#503
16. 43985 82.4% 18.7% (+63.7)#16 17.0% (+65.4)#545
17. 45225 81.0% 18.7% (+62.3)#17 17.0% (+64.0)#570
18. 43222 80.6% 18.7% (+61.9)#18 17.0% (+63.6)#578
19. 45353 80.0% 18.7% (+61.3)#19 17.0% (+63.0)#592
20. 44507 79.9% 18.7% (+61.2)#20 17.0% (+63.0)#597
21. 45204 79.5% 18.7% (+60.9)#21 17.0% (+62.6)#603
22. 43768 79.5% 18.7% (+60.8)#22 17.0% (+62.5)#606
23. 45621 77.8% 18.7% (+59.1)#23 17.0% (+60.8)#642
24. 45317 77.4% 18.7% (+58.7)#24 17.0% (+60.4)#647
25. 44115 76.9% 18.7% (+58.2)#25 17.0% (+59.9)#664
26. 44104 76.0% 18.7% (+57.3)#26 17.0% (+59.0)#678
27. 43608 75.3% 18.7% (+56.6)#27 17.0% (+58.3)#689
28. 43203 75.2% 18.7% (+56.5)#28 17.0% (+58.2)#693
29. 43948 73.3% 18.7% (+54.7)#29 17.0% (+56.4)#748
30. 44502 73.0% 18.7% (+54.3)#30 17.0% (+56.0)#761
31. 44652 72.1% 18.7% (+53.4)#31 17.0% (+55.1)#785
32. 44485 71.4% 18.7% (+52.7)#32 17.0% (+54.4)#806
33. 43908 69.7% 18.7% (+51.0)#33 17.0% (+52.7)#852
34. 45214 69.3% 18.7% (+50.6)#34 17.0% (+52.3)#869
35. 44866 69.2% 18.7% (+50.5)#35 17.0% (+52.2)#876
36. 44902 68.9% 18.7% (+50.2)#36 17.0% (+51.9)#885
37. 45160 68.3% 18.7% (+49.7)#37 17.0% (+51.4)#903
38. 45232 67.9% 18.7% (+49.2)#38 17.0% (+50.9)#917
39. 45403 67.2% 18.7% (+48.5)#39 17.0% (+50.2)#935
40. 44505 65.5% 18.7% (+46.8)#40 17.0% (+48.5)#1,008
41. 45778 65.2% 18.7% (+46.5)#41 17.0% (+48.2)#1,021
42. 45779 63.9% 18.7% (+45.2)#42 17.0% (+46.9)#1,077
43. 43771 63.4% 18.7% (+44.7)#43 17.0% (+46.4)#1,098
44. 45740 62.5% 18.7% (+43.8)#44 17.0% (+45.5)#1,148
45. 44611 62.3% 18.7% (+43.6)#45 17.0% (+45.3)#1,154
46. 43126 61.3% 18.7% (+42.6)#46 17.0% (+44.3)#1,196
47. 44454 61.2% 18.7% (+42.5)#47 17.0% (+44.2)#1,199
48. 44450 61.0% 18.7% (+42.3)#48 17.0% (+44.0)#1,208
49. 45101 60.8% 18.7% (+42.1)#49 17.0% (+43.8)#1,221
50. 43738 60.0% 18.7% (+41.3)#50 17.0% (+43.0)#1,272
51. 43326 59.5% 18.7% (+40.8)#51 17.0% (+42.5)#1,300
52. 44113 59.0% 18.7% (+40.3)#52 17.0% (+42.0)#1,338
53. 43340 58.4% 18.7% (+39.8)#53 17.0% (+41.5)#1,368
54. 43926 58.3% 18.7% (+39.7)#54 17.0% (+41.4)#1,380
55. 44049 58.3% 18.7% (+39.7)#55 17.0% (+41.4)#1,382
56. 44506 58.2% 18.7% (+39.5)#56 17.0% (+41.2)#1,388
57. 43971 58.0% 18.7% (+39.3)#57 17.0% (+41.0)#1,402
58. 45812 57.8% 18.7% (+39.1)#58 17.0% (+40.8)#1,419
59. 44707 57.4% 18.7% (+38.7)#59 17.0% (+40.4)#1,452
60. 43938 57.3% 18.7% (+38.6)#60 17.0% (+40.3)#1,454
61. 45780 56.2% 18.7% (+37.6)#61 17.0% (+39.3)#1,534
62. 45144 56.0% 18.7% (+37.3)#62 17.0% (+39.0)#1,548
63. 44310 55.7% 18.7% (+37.0)#63 17.0% (+38.7)#1,569
64. 45326 55.6% 18.7% (+36.9)#64 17.0% (+38.7)#1,573
65. 43961 55.6% 18.7% (+36.9)#65 17.0% (+38.6)#1,583
66. 43211 55.0% 18.7% (+36.3)#66 17.0% (+38.0)#1,612
67. 43215 54.5% 18.7% (+35.8)#67 17.0% (+37.5)#1,660
68. 45417 54.0% 18.7% (+35.3)#68 17.0% (+37.0)#1,702
69. 43348 53.7% 18.7% (+35.0)#69 17.0% (+36.7)#1,718
70. 44452 53.5% 18.7% (+34.8)#70 17.0% (+36.5)#1,728
71. 45164 53.3% 18.7% (+34.7)#71 17.0% (+36.4)#1,742
72. 43341 52.9% 18.7% (+34.3)#72 17.0% (+36.0)#1,782
73. 44704 52.8% 18.7% (+34.1)#73 17.0% (+35.8)#1,790
74. 45836 52.3% 18.7% (+33.6)#74 17.0% (+35.3)#1,840
75. 44307 52.2% 18.7% (+33.5)#75 17.0% (+35.2)#1,856
76. 44114 51.9% 18.7% (+33.3)#76 17.0% (+35.0)#1,884
77. 43128 51.5% 18.7% (+32.8)#77 17.0% (+34.5)#1,923
78. 43605 51.5% 18.7% (+32.8)#78 17.0% (+34.5)#1,924
79. 44052 51.4% 18.7% (+32.7)#79 17.0% (+34.4)#1,931
80. 44288 51.3% 18.7% (+32.6)#80 17.0% (+34.3)#1,938
81. 44103 51.2% 18.7% (+32.5)#81 17.0% (+34.2)#1,953
82. 44490 51.1% 18.7% (+32.4)#82 17.0% (+34.1)#1,963
83. 44404 50.8% 18.7% (+32.1)#83 17.0% (+33.8)#1,989
84. 45716 50.0% 18.7% (+31.3)#84 17.0% (+33.0)#2,061
85. 44856 50.0% 18.7% (+31.3)#85 17.0% (+33.0)#2,086
86. 44112 49.4% 18.7% (+30.7)#86 17.0% (+32.4)#2,147
87. 44306 49.1% 18.7% (+30.4)#87 17.0% (+32.1)#2,173
88. 43205 49.0% 18.7% (+30.4)#88 17.0% (+32.1)#2,177
89. 43529 48.9% 18.7% (+30.3)#89 17.0% (+32.0)#2,188
90. 45859 48.5% 18.7% (+29.8)#90 17.0% (+31.5)#2,236
91. 45681 48.4% 18.7% (+29.7)#91 17.0% (+31.4)#2,246
92. 44311 48.1% 18.7% (+29.4)#92 17.0% (+31.1)#2,273
93. 44135 48.0% 18.7% (+29.4)#93 17.0% (+31.1)#2,275
94. 45229 48.0% 18.7% (+29.3)#94 17.0% (+31.0)#2,285
95. 43782 47.6% 18.7% (+28.9)#95 17.0% (+30.6)#2,319
96. 45881 47.4% 18.7% (+28.7)#96 17.0% (+30.5)#2,337
97. 44706 47.2% 18.7% (+28.5)#97 17.0% (+30.3)#2,361
98. 44881 47.1% 18.7% (+28.4)#98 17.0% (+30.1)#2,382
99. 43201 46.8% 18.7% (+28.1)#99 17.0% (+29.8)#2,411
100. 44491 46.7% 18.7% (+28.1)#100 17.0% (+29.8)#2,415

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Ohio?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Ohio are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Ohio?
45770 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Ohio with 100.0%.
What is the Poverty Level Among Girls Under the Age of 16 in the State of Ohio?
Poverty Level Among Girls Under the Age of 16 in Ohio is 18.7%.
What is the Poverty Level Among Girls Under the Age of 16 in the United States?
Poverty Level Among Girls Under the Age of 16 in the United States is 17.0%.