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

RELATED REPORTS & OPTIONS

Lowest 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 Lowest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati

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

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

Zip Code Child Poverty (Girls) vs State vs National
1. 45243 0.67% 18.7% (-18.0)#5 17.0% (-16.3)#139
2. 45242 1.3% 18.7% (-17.4)#26 17.0% (-15.7)#529
3. 45208 1.5% 18.7% (-17.2)#31 17.0% (-15.5)#694
4. 45255 2.4% 18.7% (-16.3)#58 17.0% (-14.6)#1,393
5. 45249 2.6% 18.7% (-16.1)#65 17.0% (-14.4)#1,536
6. 45226 3.4% 18.7% (-15.3)#96 17.0% (-13.6)#2,220
7. 45209 3.8% 18.7% (-14.9)#113 17.0% (-13.2)#2,612
8. 45248 4.1% 18.7% (-14.6)#127 17.0% (-12.8)#2,906
9. 45217 4.9% 18.7% (-13.8)#152 17.0% (-12.1)#3,582
10. 45251 6.5% 18.7% (-12.2)#208 17.0% (-10.5)#4,963
11. 45241 6.7% 18.7% (-12.0)#213 17.0% (-10.3)#5,104
12. 45247 7.1% 18.7% (-11.6)#227 17.0% (-9.88)#5,471
13. 45233 9.5% 18.7% (-9.17)#300 17.0% (-7.46)#7,459
14. 45252 10.5% 18.7% (-8.19)#336 17.0% (-6.49)#8,225
15. 45244 11.5% 18.7% (-7.18)#363 17.0% (-5.47)#8,981
16. 45202 12.5% 18.7% (-6.22)#386 17.0% (-4.51)#9,627
17. 45245 12.8% 18.7% (-5.92)#393 17.0% (-4.21)#9,839
18. 45220 13.0% 18.7% (-5.63)#399 17.0% (-3.93)#10,040
19. 45236 13.2% 18.7% (-5.47)#401 17.0% (-3.76)#10,151
20. 45218 13.8% 18.7% (-4.90)#419 17.0% (-3.19)#10,527
21. 45211 14.4% 18.7% (-4.29)#435 17.0% (-2.58)#10,961
22. 45238 14.8% 18.7% (-3.88)#449 17.0% (-2.18)#11,208
23. 45216 17.1% 18.7% (-1.63)#489 17.0% (+0.080)#12,625
24. 45230 18.2% 18.7% (-0.500)#508 17.0% (+1.21)#13,251
25. 45215 20.6% 18.7% (+1.93)#543 17.0% (+3.63)#14,555
26. 45213 20.8% 18.7% (+2.10)#551 17.0% (+3.81)#14,648
27. 45239 20.8% 18.7% (+2.15)#552 17.0% (+3.86)#14,670
28. 45227 21.8% 18.7% (+3.07)#579 17.0% (+4.78)#15,124
29. 45212 23.1% 18.7% (+4.38)#604 17.0% (+6.08)#15,752
30. 45240 30.3% 18.7% (+11.6)#712 17.0% (+13.3)#18,449
31. 45223 30.5% 18.7% (+11.8)#718 17.0% (+13.5)#18,513
32. 45206 31.6% 18.7% (+12.9)#729 17.0% (+14.6)#18,823
33. 45246 32.3% 18.7% (+13.6)#737 17.0% (+15.3)#19,008
34. 45231 32.7% 18.7% (+14.0)#742 17.0% (+15.7)#19,124
35. 45219 33.0% 18.7% (+14.3)#746 17.0% (+16.0)#19,200
36. 45224 34.1% 18.7% (+15.4)#764 17.0% (+17.2)#19,516
37. 45237 34.3% 18.7% (+15.6)#765 17.0% (+17.3)#19,557
38. 45207 39.7% 18.7% (+21.0)#800 17.0% (+22.7)#20,678
39. 45205 45.4% 18.7% (+26.7)#845 17.0% (+28.4)#21,548
40. 45229 48.0% 18.7% (+29.3)#860 17.0% (+31.0)#21,824
41. 45232 67.9% 18.7% (+49.2)#916 17.0% (+50.9)#23,192
42. 45214 69.3% 18.7% (+50.6)#920 17.0% (+52.3)#23,240
43. 45204 79.5% 18.7% (+60.9)#933 17.0% (+62.6)#23,506
44. 45225 81.0% 18.7% (+62.3)#937 17.0% (+64.0)#23,539
45. 45203 90.4% 18.7% (+71.7)#942 17.0% (+73.4)#23,675

Common Questions

What are the Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH?
Top 10 Zip Codes with the Lowest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH are:
#1
0.67%
#2
1.3%
#3
1.5%
#4
2.4%
#5
2.6%
#6
3.4%
#7
3.8%
#8
4.1%
#9
4.9%
#10
6.5%
What zip code has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH?
45243 has the Lowest Child Poverty Level Among Girls Under the Age of 16 in Cincinnati, OH with 0.67%.
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%.