Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Cincinnati, OH

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Highest Poverty | Female 25-34
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 Poverty Level Among Females Between Ages 25 and 34 in Cincinnati

0.90%
77.1%
Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Cincinnati Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Cincinnati, OH

Zip Code Female Poverty vs State vs National
1. 45232 77.1% 17.0% (+60.1)#17 14.5% (+62.6)#645
2. 45225 66.5% 17.0% (+49.5)#23 14.5% (+52.0)#905
3. 45214 47.6% 17.0% (+30.6)#68 14.5% (+33.1)#1,861
4. 45205 43.5% 17.0% (+26.5)#90 14.5% (+29.0)#2,272
5. 45229 42.0% 17.0% (+25.0)#95 14.5% (+27.5)#2,437
6. 45204 41.8% 17.0% (+24.9)#98 14.5% (+27.4)#2,456
7. 45203 37.0% 17.0% (+20.0)#131 14.5% (+22.5)#3,169
8. 45216 35.1% 17.0% (+18.2)#151 14.5% (+20.6)#3,530
9. 45219 32.0% 17.0% (+15.1)#178 14.5% (+17.5)#4,202
10. 45223 28.7% 17.0% (+11.8)#217 14.5% (+14.2)#5,088
11. 45211 27.1% 17.0% (+10.2)#234 14.5% (+12.7)#5,635
12. 45237 23.9% 17.0% (+6.94)#284 14.5% (+9.42)#6,837
13. 45240 21.8% 17.0% (+4.77)#325 14.5% (+7.26)#7,813
14. 45245 21.7% 17.0% (+4.74)#327 14.5% (+7.23)#7,844
15. 45215 20.1% 17.0% (+3.09)#364 14.5% (+5.57)#8,686
16. 45220 18.8% 17.0% (+1.78)#403 14.5% (+4.27)#9,492
17. 45238 18.7% 17.0% (+1.72)#405 14.5% (+4.21)#9,547
18. 45224 17.6% 17.0% (+0.594)#437 14.5% (+3.08)#10,250
19. 45231 16.3% 17.0% (-0.681)#471 14.5% (+1.80)#11,115
20. 45230 15.9% 17.0% (-1.06)#480 14.5% (+1.42)#11,374
21. 45212 13.8% 17.0% (-3.16)#530 14.5% (-0.676)#12,853
22. 45218 13.4% 17.0% (-3.59)#541 14.5% (-1.11)#13,190
23. 45207 13.2% 17.0% (-3.81)#546 14.5% (-1.33)#13,366
24. 45244 12.7% 17.0% (-4.32)#562 14.5% (-1.84)#13,754
25. 45236 12.3% 17.0% (-4.66)#574 14.5% (-2.18)#14,018
26. 45239 11.8% 17.0% (-5.17)#587 14.5% (-2.68)#14,418
27. 45202 10.9% 17.0% (-6.04)#614 14.5% (-3.55)#15,182
28. 45255 9.9% 17.0% (-7.11)#641 14.5% (-4.63)#16,128
29. 45246 9.8% 17.0% (-7.17)#644 14.5% (-4.68)#16,173
30. 45208 9.6% 17.0% (-7.37)#649 14.5% (-4.89)#16,367
31. 45206 9.1% 17.0% (-7.89)#672 14.5% (-5.41)#16,881
32. 45233 8.7% 17.0% (-8.24)#683 14.5% (-5.76)#17,166
33. 45251 7.7% 17.0% (-9.29)#722 14.5% (-6.81)#18,131
34. 45209 7.5% 17.0% (-9.48)#738 14.5% (-6.99)#18,291
35. 45213 7.4% 17.0% (-9.60)#745 14.5% (-7.12)#18,435
36. 45247 6.9% 17.0% (-10.1)#765 14.5% (-7.63)#18,895
37. 45227 6.8% 17.0% (-10.2)#771 14.5% (-7.74)#18,984
38. 45217 6.5% 17.0% (-10.5)#777 14.5% (-8.00)#19,231
39. 45242 4.8% 17.0% (-12.1)#833 14.5% (-9.65)#20,731
40. 45248 4.6% 17.0% (-12.4)#840 14.5% (-9.90)#20,939
41. 45226 2.4% 17.0% (-14.5)#888 14.5% (-12.1)#22,577
42. 45243 1.8% 17.0% (-15.2)#907 14.5% (-12.7)#22,959
43. 45249 1.2% 17.0% (-15.8)#920 14.5% (-13.3)#23,281
44. 45241 0.90% 17.0% (-16.1)#925 14.5% (-13.6)#23,395

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Cincinnati, OH?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Cincinnati, OH are:
#1
77.1%
#2
66.5%
#3
47.6%
#4
43.5%
#5
42.0%
#6
41.8%
#7
37.0%
#8
35.1%
#9
32.0%
#10
28.7%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Cincinnati, OH?
45232 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Cincinnati, OH with 77.1%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Cincinnati, OH?
Poverty Level Among Females Between Ages 25 and 34 in Cincinnati is 24.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Ohio?
Poverty Level Among Females Between Ages 25 and 34 in Ohio is 17.0%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.