Zip Codes with the Highest Poverty Level Among Single Mothers in Ohio

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Highest Poverty | Single Mother
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 Poverty Level Among Single Mothers in Ohio

70.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Mothers in Ohio Map

Zip Codes with the Highest Poverty Level Among Single Mothers in Ohio

Zip Code Single Mother Poverty vs State vs National
1. 43210 100.0% 38.7% (+61.3)#1 33.1% (+66.9)#2
2. 44280 100.0% 38.7% (+61.3)#2 33.1% (+66.9)#17
3. 45742 100.0% 38.7% (+61.3)#3 33.1% (+66.9)#56
4. 45120 100.0% 38.7% (+61.3)#4 33.1% (+66.9)#81
5. 45658 100.0% 38.7% (+61.3)#5 33.1% (+66.9)#94
6. 45153 100.0% 38.7% (+61.3)#6 33.1% (+66.9)#109
7. 44849 100.0% 38.7% (+61.3)#7 33.1% (+66.9)#129
8. 44450 100.0% 38.7% (+61.3)#8 33.1% (+66.9)#131
9. 45616 100.0% 38.7% (+61.3)#9 33.1% (+66.9)#193
10. 43332 100.0% 38.7% (+61.3)#10 33.1% (+66.9)#232
11. 45772 100.0% 38.7% (+61.3)#11 33.1% (+66.9)#245
12. 43778 100.0% 38.7% (+61.3)#12 33.1% (+66.9)#251
13. 45681 100.0% 38.7% (+61.3)#13 33.1% (+66.9)#263
14. 44695 100.0% 38.7% (+61.3)#14 33.1% (+66.9)#302
15. 43802 100.0% 38.7% (+61.3)#15 33.1% (+66.9)#361
16. 43451 100.0% 38.7% (+61.3)#16 33.1% (+66.9)#409
17. 45745 100.0% 38.7% (+61.3)#17 33.1% (+66.9)#449
18. 44638 100.0% 38.7% (+61.3)#18 33.1% (+66.9)#452
19. 45317 100.0% 38.7% (+61.3)#19 33.1% (+66.9)#514
20. 45348 100.0% 38.7% (+61.3)#20 33.1% (+66.9)#528
21. 45770 100.0% 38.7% (+61.3)#21 33.1% (+66.9)#563
22. 43341 100.0% 38.7% (+61.3)#22 33.1% (+66.9)#581
23. 45646 100.0% 38.7% (+61.3)#23 33.1% (+66.9)#603
24. 44653 100.0% 38.7% (+61.3)#24 33.1% (+66.9)#641
25. 44454 100.0% 38.7% (+61.3)#25 33.1% (+66.9)#734
26. 43788 100.0% 38.7% (+61.3)#26 33.1% (+66.9)#754
27. 44652 100.0% 38.7% (+61.3)#27 33.1% (+66.9)#835
28. 45741 100.0% 38.7% (+61.3)#28 33.1% (+66.9)#838
29. 45332 100.0% 38.7% (+61.3)#29 33.1% (+66.9)#916
30. 43768 100.0% 38.7% (+61.3)#30 33.1% (+66.9)#933
31. 43782 100.0% 38.7% (+61.3)#31 33.1% (+66.9)#951
32. 43033 100.0% 38.7% (+61.3)#32 33.1% (+66.9)#988
33. 43144 100.0% 38.7% (+61.3)#33 33.1% (+66.9)#992
34. 45782 100.0% 38.7% (+61.3)#34 33.1% (+66.9)#998
35. 43158 100.0% 38.7% (+61.3)#35 33.1% (+66.9)#1,023
36. 45716 100.0% 38.7% (+61.3)#36 33.1% (+66.9)#1,040
37. 45859 100.0% 38.7% (+61.3)#37 33.1% (+66.9)#1,059
38. 43721 100.0% 38.7% (+61.3)#38 33.1% (+66.9)#1,088
39. 45621 100.0% 38.7% (+61.3)#39 33.1% (+66.9)#1,108
40. 45734 100.0% 38.7% (+61.3)#40 33.1% (+66.9)#1,131
41. 43127 100.0% 38.7% (+61.3)#41 33.1% (+66.9)#1,206
42. 43010 100.0% 38.7% (+61.3)#42 33.1% (+66.9)#1,231
43. 43926 100.0% 38.7% (+61.3)#43 33.1% (+66.9)#1,262
44. 43346 100.0% 38.7% (+61.3)#44 33.1% (+66.9)#1,329
45. 44678 100.0% 38.7% (+61.3)#45 33.1% (+66.9)#1,343
46. 44825 100.0% 38.7% (+61.3)#46 33.1% (+66.9)#1,344
47. 44828 100.0% 38.7% (+61.3)#47 33.1% (+66.9)#1,347
48. 45353 100.0% 38.7% (+61.3)#48 33.1% (+66.9)#1,399
49. 45316 100.0% 38.7% (+61.3)#49 33.1% (+66.9)#1,408
50. 45132 100.0% 38.7% (+61.3)#50 33.1% (+66.9)#1,440
51. 43738 100.0% 38.7% (+61.3)#51 33.1% (+66.9)#1,461
52. 43974 100.0% 38.7% (+61.3)#52 33.1% (+66.9)#1,467
53. 43962 100.0% 38.7% (+61.3)#53 33.1% (+66.9)#1,472
54. 45684 95.2% 38.7% (+56.5)#54 33.1% (+62.1)#1,556
55. 43988 95.0% 38.7% (+56.3)#55 33.1% (+61.9)#1,560
56. 45686 94.2% 38.7% (+55.5)#56 33.1% (+61.1)#1,579
57. 44867 93.8% 38.7% (+55.1)#57 33.1% (+60.7)#1,589
58. 45160 91.2% 38.7% (+52.5)#58 33.1% (+58.1)#1,660
59. 44875 90.0% 38.7% (+51.3)#59 33.1% (+56.9)#1,694
60. 43413 90.0% 38.7% (+51.3)#60 33.1% (+56.9)#1,700
61. 43408 88.9% 38.7% (+50.2)#61 33.1% (+55.8)#1,745
62. 45303 88.7% 38.7% (+50.0)#62 33.1% (+55.5)#1,756
63. 45613 88.4% 38.7% (+49.7)#63 33.1% (+55.2)#1,762
64. 45361 87.5% 38.7% (+48.8)#64 33.1% (+54.4)#1,813
65. 45644 86.7% 38.7% (+48.1)#65 33.1% (+53.6)#1,836
66. 43731 85.7% 38.7% (+47.0)#66 33.1% (+52.6)#1,881
67. 44401 85.7% 38.7% (+47.0)#67 33.1% (+52.6)#1,884
68. 45382 85.2% 38.7% (+46.5)#68 33.1% (+52.0)#1,925
69. 45070 85.0% 38.7% (+46.3)#69 33.1% (+51.9)#1,935
70. 44502 83.8% 38.7% (+45.1)#70 33.1% (+50.7)#1,984
71. 43604 83.7% 38.7% (+45.0)#71 33.1% (+50.5)#1,993
72. 45711 83.3% 38.7% (+44.6)#72 33.1% (+50.2)#2,015
73. 43943 83.0% 38.7% (+44.3)#73 33.1% (+49.9)#2,046
74. 43061 82.1% 38.7% (+43.4)#74 33.1% (+48.9)#2,102
75. 44485 81.5% 38.7% (+42.8)#75 33.1% (+48.4)#2,137
76. 43215 80.5% 38.7% (+41.8)#76 33.1% (+47.3)#2,192
77. 45225 80.4% 38.7% (+41.7)#77 33.1% (+47.2)#2,198
78. 45645 80.3% 38.7% (+41.6)#78 33.1% (+47.2)#2,201
79. 43723 80.1% 38.7% (+41.5)#79 33.1% (+47.0)#2,206
80. 45164 80.0% 38.7% (+41.3)#80 33.1% (+46.9)#2,253
81. 43203 79.9% 38.7% (+41.2)#81 33.1% (+46.7)#2,265
82. 43938 79.4% 38.7% (+40.7)#82 33.1% (+46.3)#2,283
83. 44656 78.9% 38.7% (+40.3)#83 33.1% (+45.8)#2,312
84. 43457 78.9% 38.7% (+40.3)#84 33.1% (+45.8)#2,315
85. 45333 78.8% 38.7% (+40.1)#85 33.1% (+45.7)#2,322
86. 45812 77.9% 38.7% (+39.2)#86 33.1% (+44.8)#2,376
87. 43728 77.8% 38.7% (+39.1)#87 33.1% (+44.6)#2,385
88. 44115 77.7% 38.7% (+39.0)#88 33.1% (+44.5)#2,405
89. 44113 76.7% 38.7% (+38.0)#89 33.1% (+43.6)#2,472
90. 43153 76.2% 38.7% (+37.5)#90 33.1% (+43.1)#2,511
91. 45169 76.0% 38.7% (+37.3)#91 33.1% (+42.9)#2,524
92. 45101 75.9% 38.7% (+37.2)#92 33.1% (+42.7)#2,533
93. 44704 75.4% 38.7% (+36.7)#93 33.1% (+42.2)#2,568
94. 45341 75.2% 38.7% (+36.5)#94 33.1% (+42.0)#2,575
95. 43930 75.0% 38.7% (+36.3)#95 33.1% (+41.9)#2,610
96. 45352 75.0% 38.7% (+36.3)#96 33.1% (+41.9)#2,644
97. 43434 75.0% 38.7% (+36.3)#97 33.1% (+41.9)#2,646
98. 43717 75.0% 38.7% (+36.3)#98 33.1% (+41.9)#2,647
99. 43506 74.6% 38.7% (+36.0)#99 33.1% (+41.5)#2,661
100. 44427 74.4% 38.7% (+35.7)#100 33.1% (+41.2)#2,683

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in Ohio?
Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in Ohio are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Poverty Level Among Single Mothers in Ohio?
43210 has the Highest Poverty Level Among Single Mothers in Ohio with 100.0%.
What is the Poverty Level Among Single Mothers in the State of Ohio?
Poverty Level Among Single Mothers in Ohio is 38.7%.
What is the Poverty Level Among Single Mothers in the United States?
Poverty Level Among Single Mothers in the United States is 33.1%.