Zip Codes with the Highest Female Poverty Level in Cincinnati, OH

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Highest Poverty | Female
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 Female Poverty Level in Cincinnati

2.7%
61.7%
Zip Codes with the Highest Female Poverty Level in Cincinnati Map

Zip Codes with the Highest Female Poverty Level in Cincinnati, OH

Zip Code Female Poverty vs State vs National
1. 45225 61.7% 14.6% (+47.1)#15 13.7% (+48.0)#348
2. 45232 56.0% 14.6% (+41.4)#21 13.7% (+42.3)#475
3. 45214 55.7% 14.6% (+41.1)#22 13.7% (+42.0)#481
4. 45204 54.1% 14.6% (+39.6)#26 13.7% (+40.4)#521
5. 45203 49.8% 14.6% (+35.2)#35 13.7% (+36.1)#676
6. 45219 47.6% 14.6% (+33.0)#38 13.7% (+33.9)#766
7. 45229 41.3% 14.6% (+26.7)#45 13.7% (+27.6)#1,143
8. 45205 33.8% 14.6% (+19.2)#80 13.7% (+20.1)#2,032
9. 45237 25.9% 14.6% (+11.4)#161 13.7% (+12.2)#4,091
10. 45223 24.3% 14.6% (+9.78)#186 13.7% (+10.6)#4,743
11. 45207 22.5% 14.6% (+7.95)#220 13.7% (+8.82)#5,649
12. 45224 22.3% 14.6% (+7.76)#230 13.7% (+8.63)#5,757
13. 45220 21.8% 14.6% (+7.28)#242 13.7% (+8.14)#6,058
14. 45246 21.0% 14.6% (+6.47)#258 13.7% (+7.34)#6,561
15. 45206 20.9% 14.6% (+6.38)#259 13.7% (+7.25)#6,615
16. 45212 19.0% 14.6% (+4.40)#306 13.7% (+5.27)#8,033
17. 45215 18.3% 14.6% (+3.77)#323 13.7% (+4.64)#8,556
18. 45211 18.3% 14.6% (+3.69)#324 13.7% (+4.56)#8,623
19. 45216 18.2% 14.6% (+3.63)#327 13.7% (+4.50)#8,674
20. 45240 17.6% 14.6% (+3.08)#344 13.7% (+3.94)#9,163
21. 45202 16.5% 14.6% (+1.94)#390 13.7% (+2.81)#10,262
22. 45213 15.6% 14.6% (+1.05)#412 13.7% (+1.91)#11,177
23. 45231 15.4% 14.6% (+0.881)#420 13.7% (+1.75)#11,352
24. 45227 14.5% 14.6% (-0.037)#455 13.7% (+0.831)#12,402
25. 45239 13.1% 14.6% (-1.47)#517 13.7% (-0.597)#14,199
26. 45238 13.1% 14.6% (-1.51)#521 13.7% (-0.637)#14,253
27. 45245 11.6% 14.6% (-2.98)#597 13.7% (-2.11)#16,236
28. 45252 11.2% 14.6% (-3.40)#620 13.7% (-2.54)#16,872
29. 45209 11.0% 14.6% (-3.57)#630 13.7% (-2.70)#17,110
30. 45218 9.9% 14.6% (-4.67)#679 13.7% (-3.80)#18,700
31. 45236 9.4% 14.6% (-5.13)#715 13.7% (-4.26)#19,492
32. 45230 9.3% 14.6% (-5.22)#720 13.7% (-4.35)#19,629
33. 45244 9.2% 14.6% (-5.41)#736 13.7% (-4.54)#19,922
34. 45251 8.0% 14.6% (-6.58)#815 13.7% (-5.71)#21,822
35. 45255 7.5% 14.6% (-7.08)#839 13.7% (-6.22)#22,558
36. 45233 6.7% 14.6% (-7.86)#888 13.7% (-6.99)#23,848
37. 45217 6.6% 14.6% (-7.94)#896 13.7% (-7.07)#23,992
38. 45241 6.3% 14.6% (-8.24)#913 13.7% (-7.37)#24,464
39. 45248 6.2% 14.6% (-8.34)#918 13.7% (-7.47)#24,621
40. 45226 6.1% 14.6% (-8.42)#922 13.7% (-7.56)#24,749
41. 45247 6.0% 14.6% (-8.57)#933 13.7% (-7.70)#24,968
42. 45208 5.7% 14.6% (-8.92)#964 13.7% (-8.05)#25,493
43. 45242 3.7% 14.6% (-10.9)#1,059 13.7% (-10.0)#28,270
44. 45249 2.9% 14.6% (-11.7)#1,090 13.7% (-10.8)#29,075
45. 45243 2.7% 14.6% (-11.9)#1,098 13.7% (-11.0)#29,268

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Cincinnati, OH?
Top 10 Zip Codes with the Highest Female Poverty Level in Cincinnati, OH are:
#1
61.7%
#2
56.0%
#3
55.7%
#4
54.1%
#5
49.8%
#6
47.6%
#7
41.3%
#8
33.8%
#9
25.9%
#10
24.3%
What zip code has the Highest Female Poverty Level in Cincinnati, OH?
45225 has the Highest Female Poverty Level in Cincinnati, OH with 61.7%.
What is the Poverty Level Among Females in Cincinnati, OH?
Poverty Level Among Females in Cincinnati is 27.0%.
What is the Poverty Level Among Females in Ohio?
Poverty Level Among Females in Ohio is 14.6%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.