Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH

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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)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBarbadianBelgianBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChileanChippewaChoctawColombianCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLithuanianLuxembourgerMacedonianMalaysianMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAustralianAustrianBarbadianBelgianBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChileanChippewaChoctawColombianCosta RicanCreeCreekCroatianCubanCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKoreanLaotianLatvianLebaneseLithuanianLuxembourgerMacedonianMalaysianMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanPakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePuerto RicanRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianSierra LeoneanSiouxSlavicSlovakSloveneSouth AfricanSouth AmericanSouth American IndianSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianThaiTrinidadian and TobagonianTurkishUgandanUkrainianVenezuelanVietnameseWelshWest IndianYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaAsiaAustraliaAustriaBahamasBangladeshBelarusBelgiumBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWestern AfricaWestern AsiaWestern EuropeZimbabwe
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
Cincinnati
Compare Zip Codes
Comparison Subject

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

0.67%
90.4%
Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati Map

Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH

Zip Code Child Poverty (Girls) vs State vs National
1. 45203 90.4% 18.7% (+71.7)#12 17.0% (+73.4)#434
2. 45225 81.0% 18.7% (+62.3)#17 17.0% (+64.0)#570
3. 45204 79.5% 18.7% (+60.9)#21 17.0% (+62.6)#603
4. 45214 69.3% 18.7% (+50.6)#34 17.0% (+52.3)#869
5. 45232 67.9% 18.7% (+49.2)#38 17.0% (+50.9)#917
6. 45229 48.0% 18.7% (+29.3)#94 17.0% (+31.0)#2,285
7. 45205 45.4% 18.7% (+26.7)#109 17.0% (+28.4)#2,561
8. 45207 39.7% 18.7% (+21.0)#154 17.0% (+22.7)#3,431
9. 45237 34.3% 18.7% (+15.6)#189 17.0% (+17.3)#4,552
10. 45224 34.1% 18.7% (+15.4)#190 17.0% (+17.2)#4,593
11. 45219 33.0% 18.7% (+14.3)#208 17.0% (+16.0)#4,909
12. 45231 32.7% 18.7% (+14.0)#212 17.0% (+15.7)#4,985
13. 45246 32.3% 18.7% (+13.6)#217 17.0% (+15.3)#5,100
14. 45206 31.6% 18.7% (+12.9)#225 17.0% (+14.6)#5,286
15. 45223 30.5% 18.7% (+11.8)#236 17.0% (+13.5)#5,594
16. 45240 30.3% 18.7% (+11.6)#242 17.0% (+13.3)#5,660
17. 45212 23.1% 18.7% (+4.38)#350 17.0% (+6.08)#8,357
18. 45227 21.8% 18.7% (+3.07)#375 17.0% (+4.78)#8,985
19. 45239 20.8% 18.7% (+2.15)#402 17.0% (+3.86)#9,439
20. 45213 20.8% 18.7% (+2.10)#403 17.0% (+3.81)#9,461
21. 45215 20.6% 18.7% (+1.93)#411 17.0% (+3.63)#9,554
22. 45230 18.2% 18.7% (-0.500)#446 17.0% (+1.21)#10,832
23. 45216 17.1% 18.7% (-1.63)#465 17.0% (+0.080)#11,484
24. 45238 14.8% 18.7% (-3.88)#505 17.0% (-2.18)#12,901
25. 45211 14.4% 18.7% (-4.29)#519 17.0% (-2.58)#13,148
26. 45218 13.8% 18.7% (-4.90)#535 17.0% (-3.19)#13,582
27. 45236 13.2% 18.7% (-5.47)#553 17.0% (-3.76)#13,958
28. 45220 13.0% 18.7% (-5.63)#555 17.0% (-3.93)#14,069
29. 45245 12.8% 18.7% (-5.92)#561 17.0% (-4.21)#14,270
30. 45202 12.5% 18.7% (-6.22)#568 17.0% (-4.51)#14,482
31. 45244 11.5% 18.7% (-7.18)#591 17.0% (-5.47)#15,128
32. 45252 10.5% 18.7% (-8.19)#618 17.0% (-6.49)#15,884
33. 45233 9.5% 18.7% (-9.17)#654 17.0% (-7.46)#16,650
34. 45247 7.1% 18.7% (-11.6)#727 17.0% (-9.88)#18,638
35. 45241 6.7% 18.7% (-12.0)#741 17.0% (-10.3)#19,005
36. 45251 6.5% 18.7% (-12.2)#746 17.0% (-10.5)#19,146
37. 45217 4.9% 18.7% (-13.8)#802 17.0% (-12.1)#20,528
38. 45248 4.1% 18.7% (-14.6)#827 17.0% (-12.8)#21,203
39. 45209 3.8% 18.7% (-14.9)#841 17.0% (-13.2)#21,497
40. 45226 3.4% 18.7% (-15.3)#858 17.0% (-13.6)#21,889
41. 45249 2.6% 18.7% (-16.1)#889 17.0% (-14.4)#22,573
42. 45255 2.4% 18.7% (-16.3)#896 17.0% (-14.6)#22,716
43. 45208 1.5% 18.7% (-17.2)#923 17.0% (-15.5)#23,415
44. 45242 1.3% 18.7% (-17.4)#928 17.0% (-15.7)#23,580
45. 45243 0.67% 18.7% (-18.0)#949 17.0% (-16.3)#23,970

Common Questions

What are the Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH?
Top 10 Zip Codes with the Highest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH are:
#1
90.4%
#2
81.0%
#3
79.5%
#4
69.3%
#5
67.9%
#6
48.0%
#7
45.4%
#8
39.7%
#9
34.3%
#10
34.1%
What zip code has the Highest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH?
45203 has the Highest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH with 90.4%.
What is the Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH?
Poverty Level Among Girls Under the Age of 16 in Cincinnati is 37.3%.
What is the Poverty Level Among Girls Under the Age of 16 in 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%.