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

0.0%
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
1.45770100.0%18.7%(+81.3)#117.0%(+83.0)#52
2.43983100.0%18.7%(+81.3)#217.0%(+83.0)#110
3.45630100.0%18.7%(+81.3)#317.0%(+83.0)#129
4.43158100.0%18.7%(+81.3)#417.0%(+83.0)#153
5.43735100.0%18.7%(+81.3)#517.0%(+83.0)#155
6.43721100.0%18.7%(+81.3)#617.0%(+83.0)#173
7.43127100.0%18.7%(+81.3)#717.0%(+83.0)#217
8.45469100.0%18.7%(+81.3)#817.0%(+83.0)#264
9.43531100.0%18.7%(+81.3)#917.0%(+83.0)#273
10.44828100.0%18.7%(+81.3)#1017.0%(+83.0)#282
11.43325100.0%18.7%(+81.3)#1117.0%(+83.0)#362
12.4520390.4%18.7%(+71.7)#1217.0%(+73.4)#434
13.4561688.5%18.7%(+69.8)#1317.0%(+71.5)#451
14.4360487.4%18.7%(+68.7)#1417.0%(+70.4)#463
15.4571984.6%18.7%(+65.9)#1517.0%(+67.6)#503
16.4398582.4%18.7%(+63.7)#1617.0%(+65.4)#545
17.4522581.0%18.7%(+62.3)#1717.0%(+64.0)#570
18.4322280.6%18.7%(+61.9)#1817.0%(+63.6)#578
19.4535380.0%18.7%(+61.3)#1917.0%(+63.0)#592
20.4450779.9%18.7%(+61.2)#2017.0%(+63.0)#597
21.4520479.5%18.7%(+60.9)#2117.0%(+62.6)#603
22.4376879.5%18.7%(+60.8)#2217.0%(+62.5)#606
23.4562177.8%18.7%(+59.1)#2317.0%(+60.8)#642
24.4531777.4%18.7%(+58.7)#2417.0%(+60.4)#647
25.4411576.9%18.7%(+58.2)#2517.0%(+59.9)#664
26.4410476.0%18.7%(+57.3)#2617.0%(+59.0)#678
27.4360875.3%18.7%(+56.6)#2717.0%(+58.3)#689
28.4320375.2%18.7%(+56.5)#2817.0%(+58.2)#693
29.4394873.3%18.7%(+54.7)#2917.0%(+56.4)#748
30.4450273.0%18.7%(+54.3)#3017.0%(+56.0)#761
31.4465272.1%18.7%(+53.4)#3117.0%(+55.1)#785
32.4448571.4%18.7%(+52.7)#3217.0%(+54.4)#806
33.4390869.7%18.7%(+51.0)#3317.0%(+52.7)#852
34.4521469.3%18.7%(+50.6)#3417.0%(+52.3)#869
35.4486669.2%18.7%(+50.5)#3517.0%(+52.2)#876
36.4490268.9%18.7%(+50.2)#3617.0%(+51.9)#885
37.4516068.3%18.7%(+49.7)#3717.0%(+51.4)#903
38.4523267.9%18.7%(+49.2)#3817.0%(+50.9)#917
39.4540367.2%18.7%(+48.5)#3917.0%(+50.2)#935
40.4450565.5%18.7%(+46.8)#4017.0%(+48.5)#1,008
41.4577865.2%18.7%(+46.5)#4117.0%(+48.2)#1,021
42.4577963.9%18.7%(+45.2)#4217.0%(+46.9)#1,077
43.4377163.4%18.7%(+44.7)#4317.0%(+46.4)#1,098
44.4574062.5%18.7%(+43.8)#4417.0%(+45.5)#1,148
45.4461162.3%18.7%(+43.6)#4517.0%(+45.3)#1,154
46.4312661.3%18.7%(+42.6)#4617.0%(+44.3)#1,196
47.4445461.2%18.7%(+42.5)#4717.0%(+44.2)#1,199
48.4445061.0%18.7%(+42.3)#4817.0%(+44.0)#1,208
49.4510160.8%18.7%(+42.1)#4917.0%(+43.8)#1,221
50.4373860.0%18.7%(+41.3)#5017.0%(+43.0)#1,272
51.4332659.5%18.7%(+40.8)#5117.0%(+42.5)#1,300
52.4411359.0%18.7%(+40.3)#5217.0%(+42.0)#1,338
53.4334058.4%18.7%(+39.8)#5317.0%(+41.5)#1,368
54.4392658.3%18.7%(+39.7)#5417.0%(+41.4)#1,380
55.4404958.3%18.7%(+39.7)#5517.0%(+41.4)#1,382
56.4450658.2%18.7%(+39.5)#5617.0%(+41.2)#1,388
57.4397158.0%18.7%(+39.3)#5717.0%(+41.0)#1,402
58.4581257.8%18.7%(+39.1)#5817.0%(+40.8)#1,419
59.4470757.4%18.7%(+38.7)#5917.0%(+40.4)#1,452
60.4393857.3%18.7%(+38.6)#6017.0%(+40.3)#1,454
61.4578056.2%18.7%(+37.6)#6117.0%(+39.3)#1,534
62.4514456.0%18.7%(+37.3)#6217.0%(+39.0)#1,548
63.4431055.7%18.7%(+37.0)#6317.0%(+38.7)#1,569
64.4532655.6%18.7%(+36.9)#6417.0%(+38.7)#1,573
65.4396155.6%18.7%(+36.9)#6517.0%(+38.6)#1,583
66.4321155.0%18.7%(+36.3)#6617.0%(+38.0)#1,612
67.4321554.5%18.7%(+35.8)#6717.0%(+37.5)#1,660
68.4541754.0%18.7%(+35.3)#6817.0%(+37.0)#1,702
69.4334853.7%18.7%(+35.0)#6917.0%(+36.7)#1,718
70.4445253.5%18.7%(+34.8)#7017.0%(+36.5)#1,728
71.4516453.3%18.7%(+34.7)#7117.0%(+36.4)#1,742
72.4334152.9%18.7%(+34.3)#7217.0%(+36.0)#1,782
73.4470452.8%18.7%(+34.1)#7317.0%(+35.8)#1,790
74.4583652.3%18.7%(+33.6)#7417.0%(+35.3)#1,840
75.4430752.2%18.7%(+33.5)#7517.0%(+35.2)#1,856
76.4411451.9%18.7%(+33.3)#7617.0%(+35.0)#1,884
77.4312851.5%18.7%(+32.8)#7717.0%(+34.5)#1,923
78.4360551.5%18.7%(+32.8)#7817.0%(+34.5)#1,924
79.4405251.4%18.7%(+32.7)#7917.0%(+34.4)#1,931
80.4428851.3%18.7%(+32.6)#8017.0%(+34.3)#1,938
81.4410351.2%18.7%(+32.5)#8117.0%(+34.2)#1,953
82.4449051.1%18.7%(+32.4)#8217.0%(+34.1)#1,963
83.4440450.8%18.7%(+32.1)#8317.0%(+33.8)#1,989
84.4571650.0%18.7%(+31.3)#8417.0%(+33.0)#2,061
85.4485650.0%18.7%(+31.3)#8517.0%(+33.0)#2,086
86.4411249.4%18.7%(+30.7)#8617.0%(+32.4)#2,147
87.4430649.1%18.7%(+30.4)#8717.0%(+32.1)#2,173
88.4320549.0%18.7%(+30.4)#8817.0%(+32.1)#2,177
89.4352948.9%18.7%(+30.3)#8917.0%(+32.0)#2,188
90.4585948.5%18.7%(+29.8)#9017.0%(+31.5)#2,236
91.4568148.4%18.7%(+29.7)#9117.0%(+31.4)#2,246
92.4431148.1%18.7%(+29.4)#9217.0%(+31.1)#2,273
93.4413548.0%18.7%(+29.4)#9317.0%(+31.1)#2,275
94.4522948.0%18.7%(+29.3)#9417.0%(+31.0)#2,285
95.4378247.6%18.7%(+28.9)#9517.0%(+30.6)#2,319
96.4588147.4%18.7%(+28.7)#9617.0%(+30.5)#2,337
97.4470647.2%18.7%(+28.5)#9717.0%(+30.3)#2,361
98.4488147.1%18.7%(+28.4)#9817.0%(+30.1)#2,382
99.4320146.8%18.7%(+28.1)#9917.0%(+29.8)#2,411
100.4449146.7%18.7%(+28.1)#10017.0%(+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%.