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

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Highest Poverty | Single Male
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 Males in Ohio

30.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Males in Ohio Map

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

Zip Code Single Male Poverty vs State vs National
1. 44880 100.0% 13.2% (+86.8)#1 12.4% (+87.6)#34
2. 43416 100.0% 13.2% (+86.8)#2 12.4% (+87.6)#42
3. 45780 100.0% 13.2% (+86.8)#3 12.4% (+87.6)#44
4. 44702 100.0% 13.2% (+86.8)#4 12.4% (+87.6)#194
5. 43445 100.0% 13.2% (+86.8)#5 12.4% (+87.6)#213
6. 45716 100.0% 13.2% (+86.8)#6 12.4% (+87.6)#370
7. 45319 100.0% 13.2% (+86.8)#7 12.4% (+87.6)#382
8. 43967 100.0% 13.2% (+86.8)#8 12.4% (+87.6)#459
9. 43531 100.0% 13.2% (+86.8)#9 12.4% (+87.6)#488
10. 44881 100.0% 13.2% (+86.8)#10 12.4% (+87.6)#511
11. 43109 100.0% 13.2% (+86.8)#11 12.4% (+87.6)#523
12. 43145 92.3% 13.2% (+79.1)#12 12.4% (+79.9)#601
13. 43932 84.0% 13.2% (+70.8)#13 12.4% (+71.6)#683
14. 45203 81.9% 13.2% (+68.6)#14 12.4% (+69.5)#715
15. 45778 80.5% 13.2% (+67.2)#15 12.4% (+68.1)#743
16. 43944 80.0% 13.2% (+66.8)#16 12.4% (+67.6)#747
17. 45724 78.3% 13.2% (+65.1)#17 12.4% (+65.9)#787
18. 45647 77.6% 13.2% (+64.4)#18 12.4% (+65.2)#800
19. 45214 76.1% 13.2% (+62.8)#19 12.4% (+63.7)#829
20. 44639 71.4% 13.2% (+58.2)#20 12.4% (+59.0)#933
21. 43759 71.4% 13.2% (+58.2)#21 12.4% (+59.0)#934
22. 44430 68.7% 13.2% (+55.4)#22 12.4% (+56.2)#999
23. 44506 65.2% 13.2% (+52.0)#23 12.4% (+52.8)#1,107
24. 44491 64.3% 13.2% (+51.0)#24 12.4% (+51.9)#1,126
25. 45155 63.6% 13.2% (+50.4)#25 12.4% (+51.2)#1,143
26. 44510 61.0% 13.2% (+47.8)#26 12.4% (+48.6)#1,230
27. 44311 60.7% 13.2% (+47.4)#27 12.4% (+48.2)#1,243
28. 43408 60.0% 13.2% (+46.8)#28 12.4% (+47.6)#1,282
29. 43570 59.7% 13.2% (+46.5)#29 12.4% (+47.3)#1,292
30. 45158 59.5% 13.2% (+46.3)#30 12.4% (+47.1)#1,300
31. 43144 58.8% 13.2% (+45.6)#31 12.4% (+46.4)#1,328
32. 44656 57.7% 13.2% (+44.4)#32 12.4% (+45.3)#1,377
33. 44076 57.5% 13.2% (+44.2)#33 12.4% (+45.0)#1,386
34. 45810 55.3% 13.2% (+42.1)#34 12.4% (+42.9)#1,495
35. 43986 55.2% 13.2% (+41.9)#35 12.4% (+42.7)#1,506
36. 43830 52.8% 13.2% (+39.5)#36 12.4% (+40.3)#1,624
37. 45678 52.6% 13.2% (+39.4)#37 12.4% (+40.2)#1,637
38. 43001 52.4% 13.2% (+39.1)#38 12.4% (+39.9)#1,649
39. 45812 52.0% 13.2% (+38.8)#39 12.4% (+39.6)#1,666
40. 45719 51.3% 13.2% (+38.0)#40 12.4% (+38.8)#1,694
41. 43542 51.1% 13.2% (+37.9)#41 12.4% (+38.7)#1,700
42. 45881 50.8% 13.2% (+37.6)#42 12.4% (+38.4)#1,715
43. 44887 50.0% 13.2% (+36.8)#43 12.4% (+37.6)#1,782
44. 45808 50.0% 13.2% (+36.8)#44 12.4% (+37.6)#1,853
45. 43156 50.0% 13.2% (+36.8)#45 12.4% (+37.6)#1,860
46. 44902 48.6% 13.2% (+35.3)#46 12.4% (+36.1)#1,930
47. 45224 47.4% 13.2% (+34.1)#47 12.4% (+35.0)#1,994
48. 43935 47.3% 13.2% (+34.1)#48 12.4% (+34.9)#2,002
49. 43149 46.7% 13.2% (+33.5)#49 12.4% (+34.3)#2,031
50. 45663 46.6% 13.2% (+33.4)#50 12.4% (+34.2)#2,046
51. 45662 46.4% 13.2% (+33.1)#51 12.4% (+33.9)#2,060
52. 45223 46.0% 13.2% (+32.8)#52 12.4% (+33.6)#2,086
53. 44608 45.8% 13.2% (+32.5)#53 12.4% (+33.3)#2,105
54. 43948 45.5% 13.2% (+32.2)#54 12.4% (+33.0)#2,131
55. 45205 45.0% 13.2% (+31.8)#55 12.4% (+32.6)#2,149
56. 44452 44.7% 13.2% (+31.5)#56 12.4% (+32.3)#2,176
57. 45120 44.4% 13.2% (+31.2)#57 12.4% (+32.0)#2,203
58. 44041 44.2% 13.2% (+30.9)#58 12.4% (+31.8)#2,236
59. 45614 44.0% 13.2% (+30.7)#59 12.4% (+31.5)#2,263
60. 44102 44.0% 13.2% (+30.7)#60 12.4% (+31.5)#2,264
61. 45715 43.9% 13.2% (+30.6)#61 12.4% (+31.4)#2,270
62. 45449 43.5% 13.2% (+30.2)#62 12.4% (+31.1)#2,290
63. 43945 43.1% 13.2% (+29.9)#63 12.4% (+30.7)#2,323
64. 44119 43.0% 13.2% (+29.7)#64 12.4% (+30.6)#2,327
65. 43755 42.9% 13.2% (+29.6)#65 12.4% (+30.4)#2,340
66. 44825 42.9% 13.2% (+29.6)#66 12.4% (+30.4)#2,363
67. 44117 42.2% 13.2% (+28.9)#67 12.4% (+29.7)#2,411
68. 45827 41.5% 13.2% (+28.3)#68 12.4% (+29.1)#2,475
69. 43610 41.4% 13.2% (+28.1)#69 12.4% (+28.9)#2,479
70. 45656 41.3% 13.2% (+28.1)#70 12.4% (+28.9)#2,491
71. 43517 41.1% 13.2% (+27.9)#71 12.4% (+28.7)#2,510
72. 44320 40.7% 13.2% (+27.5)#72 12.4% (+28.3)#2,544
73. 43105 40.5% 13.2% (+27.2)#73 12.4% (+28.1)#2,563
74. 45684 40.0% 13.2% (+26.8)#74 12.4% (+27.6)#2,621
75. 45779 40.0% 13.2% (+26.8)#75 12.4% (+27.6)#2,635
76. 45621 40.0% 13.2% (+26.8)#76 12.4% (+27.6)#2,654
77. 44067 39.8% 13.2% (+26.6)#77 12.4% (+27.4)#2,676
78. 43938 39.7% 13.2% (+26.5)#78 12.4% (+27.3)#2,679
79. 43348 39.6% 13.2% (+26.3)#79 12.4% (+27.1)#2,690
80. 45403 39.5% 13.2% (+26.3)#80 12.4% (+27.1)#2,697
81. 45409 39.3% 13.2% (+26.0)#81 12.4% (+26.9)#2,717
82. 45612 39.0% 13.2% (+25.8)#82 12.4% (+26.6)#2,748
83. 43528 38.9% 13.2% (+25.6)#83 12.4% (+26.5)#2,755
84. 45459 38.7% 13.2% (+25.4)#84 12.4% (+26.2)#2,785
85. 43506 38.6% 13.2% (+25.3)#85 12.4% (+26.2)#2,794
86. 43771 38.1% 13.2% (+24.8)#86 12.4% (+25.7)#2,838
87. 44128 38.1% 13.2% (+24.8)#87 12.4% (+25.6)#2,844
88. 45303 37.1% 13.2% (+23.9)#88 12.4% (+24.7)#2,941
89. 44854 36.8% 13.2% (+23.6)#89 12.4% (+24.4)#2,974
90. 44637 36.5% 13.2% (+23.3)#90 12.4% (+24.1)#3,009
91. 43222 36.4% 13.2% (+23.1)#91 12.4% (+23.9)#3,025
92. 45372 36.4% 13.2% (+23.1)#92 12.4% (+23.9)#3,045
93. 43787 36.1% 13.2% (+22.9)#93 12.4% (+23.7)#3,059
94. 43524 36.0% 13.2% (+22.8)#94 12.4% (+23.6)#3,078
95. 45891 36.0% 13.2% (+22.7)#95 12.4% (+23.5)#3,083
96. 45843 35.9% 13.2% (+22.6)#96 12.4% (+23.5)#3,090
97. 44106 35.5% 13.2% (+22.3)#97 12.4% (+23.1)#3,129
98. 43732 35.5% 13.2% (+22.2)#98 12.4% (+23.0)#3,132
99. 44644 35.3% 13.2% (+22.0)#99 12.4% (+22.9)#3,151
100. 44084 34.9% 13.2% (+21.7)#100 12.4% (+22.5)#3,202

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Males in Ohio?
Top 10 Zip Codes with the Highest Poverty Level Among Single Males 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 Males in Ohio?
44880 has the Highest Poverty Level Among Single Males in Ohio with 100.0%.
What is the Poverty Level Among Single Males in the State of Ohio?
Poverty Level Among Single Males in Ohio is 13.2%.
What is the Poverty Level Among Single Males in the United States?
Poverty Level Among Single Males in the United States is 12.4%.