Zip Codes with the Highest Female Poverty Level in Ohio

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Highest Poverty | Female
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 Female Poverty Level in Ohio

30.0%
100.0%
Zip Codes with the Highest Female Poverty Level in Ohio Map

Zip Codes with the Highest Female Poverty Level in Ohio

Zip Code Female Poverty vs State vs National
1. 45428 100.0% 14.6% (+85.4)#1 13.7% (+86.3)#22
2. 45469 100.0% 14.6% (+85.4)#2 13.7% (+86.3)#26
3. 43972 100.0% 14.6% (+85.4)#3 13.7% (+86.3)#41
4. 43325 83.0% 14.6% (+68.4)#4 13.7% (+69.3)#151
5. 43983 76.9% 14.6% (+62.4)#5 13.7% (+63.2)#180
6. 44678 70.8% 14.6% (+56.2)#6 13.7% (+57.1)#227
7. 44828 66.7% 14.6% (+52.1)#7 13.7% (+53.0)#278
8. 43604 66.5% 14.6% (+51.9)#8 13.7% (+52.8)#287
9. 44308 66.4% 14.6% (+51.8)#9 13.7% (+52.7)#289
10. 44115 64.5% 14.6% (+50.0)#10 13.7% (+50.8)#310
11. 43047 63.6% 14.6% (+49.1)#11 13.7% (+49.9)#322
12. 45630 63.1% 14.6% (+48.5)#12 13.7% (+49.4)#328
13. 45051 62.7% 14.6% (+48.2)#13 13.7% (+49.0)#333
14. 45741 62.0% 14.6% (+47.4)#14 13.7% (+48.3)#346
15. 45225 61.7% 14.6% (+47.1)#15 13.7% (+48.0)#348
16. 45353 60.7% 14.6% (+46.2)#16 13.7% (+47.0)#365
17. 44503 60.1% 14.6% (+45.5)#17 13.7% (+46.4)#376
18. 45621 59.8% 14.6% (+45.2)#18 13.7% (+46.1)#388
19. 43768 59.4% 14.6% (+44.9)#19 13.7% (+45.7)#396
20. 43222 58.0% 14.6% (+43.5)#20 13.7% (+44.3)#416
21. 45232 56.0% 14.6% (+41.4)#21 13.7% (+42.3)#475
22. 45214 55.7% 14.6% (+41.1)#22 13.7% (+42.0)#481
23. 44510 55.1% 14.6% (+40.5)#23 13.7% (+41.4)#492
24. 45160 54.7% 14.6% (+40.1)#24 13.7% (+41.0)#502
25. 44702 54.2% 14.6% (+39.6)#25 13.7% (+40.5)#519
26. 45204 54.1% 14.6% (+39.6)#26 13.7% (+40.4)#521
27. 44104 53.2% 14.6% (+38.7)#27 13.7% (+39.5)#555
28. 43721 53.2% 14.6% (+38.6)#28 13.7% (+39.5)#559
29. 44507 52.6% 14.6% (+38.0)#29 13.7% (+38.9)#567
30. 43608 52.3% 14.6% (+37.7)#30 13.7% (+38.6)#571
31. 43985 50.9% 14.6% (+36.4)#31 13.7% (+37.2)#620
32. 44068 50.9% 14.6% (+36.4)#32 13.7% (+37.2)#621
33. 44311 50.2% 14.6% (+35.6)#33 13.7% (+36.5)#647
34. 44902 50.0% 14.6% (+35.5)#34 13.7% (+36.3)#652
35. 45203 49.8% 14.6% (+35.2)#35 13.7% (+36.1)#676
36. 45147 48.6% 14.6% (+34.0)#36 13.7% (+34.9)#723
37. 44304 47.8% 14.6% (+33.3)#37 13.7% (+34.1)#754
38. 45219 47.6% 14.6% (+33.0)#38 13.7% (+33.9)#766
39. 45156 46.4% 14.6% (+31.9)#39 13.7% (+32.7)#809
40. 44502 46.0% 14.6% (+31.4)#40 13.7% (+32.3)#835
41. 44485 43.2% 14.6% (+28.7)#41 13.7% (+29.5)#1,003
42. 44450 43.1% 14.6% (+28.5)#42 13.7% (+29.4)#1,009
43. 43203 43.1% 14.6% (+28.5)#43 13.7% (+29.4)#1,011
44. 43201 42.0% 14.6% (+27.5)#44 13.7% (+28.3)#1,093
45. 45229 41.3% 14.6% (+26.7)#45 13.7% (+27.6)#1,143
46. 43211 40.0% 14.6% (+25.4)#46 13.7% (+26.3)#1,238
47. 45404 39.4% 14.6% (+24.8)#47 13.7% (+25.7)#1,289
48. 45070 39.3% 14.6% (+24.8)#48 13.7% (+25.6)#1,295
49. 44505 39.3% 14.6% (+24.7)#49 13.7% (+25.6)#1,306
50. 45616 39.0% 14.6% (+24.4)#50 13.7% (+25.3)#1,336
51. 43531 38.6% 14.6% (+24.0)#51 13.7% (+24.9)#1,368
52. 44307 38.5% 14.6% (+23.9)#52 13.7% (+24.8)#1,378
53. 45056 38.4% 14.6% (+23.8)#53 13.7% (+24.7)#1,394
54. 45403 38.4% 14.6% (+23.8)#54 13.7% (+24.7)#1,399
55. 44707 38.2% 14.6% (+23.7)#55 13.7% (+24.5)#1,413
56. 43605 38.1% 14.6% (+23.6)#56 13.7% (+24.4)#1,424
57. 44103 38.0% 14.6% (+23.5)#57 13.7% (+24.3)#1,431
58. 43842 36.7% 14.6% (+22.2)#58 13.7% (+23.0)#1,575
59. 43346 36.7% 14.6% (+22.1)#59 13.7% (+23.0)#1,584
60. 45101 36.7% 14.6% (+22.1)#60 13.7% (+23.0)#1,587
61. 45164 36.6% 14.6% (+22.0)#61 13.7% (+22.9)#1,596
62. 45361 36.1% 14.6% (+21.5)#62 13.7% (+22.4)#1,654
63. 45812 36.0% 14.6% (+21.5)#63 13.7% (+22.3)#1,661
64. 44110 35.9% 14.6% (+21.3)#64 13.7% (+22.2)#1,680
65. 43620 35.8% 14.6% (+21.3)#65 13.7% (+22.1)#1,690
66. 44052 35.7% 14.6% (+21.1)#66 13.7% (+22.0)#1,706
67. 44506 35.5% 14.6% (+20.9)#67 13.7% (+21.8)#1,740
68. 44703 35.4% 14.6% (+20.8)#68 13.7% (+21.7)#1,754
69. 45674 35.3% 14.6% (+20.7)#69 13.7% (+21.6)#1,787
70. 44866 34.9% 14.6% (+20.3)#70 13.7% (+21.2)#1,846
71. 43607 34.8% 14.6% (+20.3)#71 13.7% (+21.1)#1,850
72. 45155 34.7% 14.6% (+20.1)#72 13.7% (+21.0)#1,883
73. 44610 34.5% 14.6% (+20.0)#73 13.7% (+20.8)#1,908
74. 45773 34.4% 14.6% (+19.8)#74 13.7% (+20.7)#1,933
75. 44102 34.3% 14.6% (+19.8)#75 13.7% (+20.6)#1,941
76. 43127 34.3% 14.6% (+19.8)#76 13.7% (+20.6)#1,942
77. 44127 34.3% 14.6% (+19.7)#77 13.7% (+20.6)#1,953
78. 44112 34.0% 14.6% (+19.5)#78 13.7% (+20.3)#1,984
79. 44509 34.0% 14.6% (+19.5)#79 13.7% (+20.3)#1,989
80. 45205 33.8% 14.6% (+19.2)#80 13.7% (+20.1)#2,032
81. 45662 33.5% 14.6% (+18.9)#81 13.7% (+19.8)#2,074
82. 45417 33.4% 14.6% (+18.9)#82 13.7% (+19.7)#2,082
83. 44108 33.1% 14.6% (+18.5)#83 13.7% (+19.4)#2,147
84. 44310 33.0% 14.6% (+18.4)#84 13.7% (+19.3)#2,167
85. 44306 32.9% 14.6% (+18.4)#85 13.7% (+19.2)#2,174
86. 43962 32.7% 14.6% (+18.1)#86 13.7% (+19.0)#2,219
87. 44055 32.6% 14.6% (+18.1)#87 13.7% (+19.0)#2,223
88. 45144 32.5% 14.6% (+18.0)#88 13.7% (+18.8)#2,255
89. 45001 32.4% 14.6% (+17.8)#89 13.7% (+18.7)#2,282
90. 44611 32.1% 14.6% (+17.5)#90 13.7% (+18.4)#2,345
91. 45782 32.0% 14.6% (+17.4)#91 13.7% (+18.3)#2,367
92. 45897 31.9% 14.6% (+17.4)#92 13.7% (+18.2)#2,375
93. 45132 31.7% 14.6% (+17.2)#93 13.7% (+18.0)#2,410
94. 43027 31.7% 14.6% (+17.1)#94 13.7% (+18.0)#2,429
95. 44105 31.6% 14.6% (+17.1)#95 13.7% (+17.9)#2,434
96. 45719 31.5% 14.6% (+16.9)#96 13.7% (+17.8)#2,454
97. 45859 31.3% 14.6% (+16.8)#97 13.7% (+17.6)#2,493
98. 44490 31.3% 14.6% (+16.7)#98 13.7% (+17.6)#2,505
99. 43952 31.2% 14.6% (+16.6)#99 13.7% (+17.5)#2,523
100. 45770 31.2% 14.6% (+16.6)#100 13.7% (+17.5)#2,529

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Ohio?
Top 10 Zip Codes with the Highest Female Poverty Level in Ohio are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
83.0%
#5
76.9%
#6
70.8%
#7
66.7%
#8
66.5%
#9
66.4%
#10
64.5%
What zip code has the Highest Female Poverty Level in Ohio?
45428 has the Highest Female Poverty Level in Ohio with 100.0%.
What is the Poverty Level Among Females in the State of 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%.