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

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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
Michigan
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Single Males in Michigan

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

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

Zip Code Single Male Poverty vs State vs National
1. 48370 100.0% 13.1% (+86.9)#1 12.4% (+87.6)#109
2. 49268 100.0% 13.1% (+86.9)#2 12.4% (+87.6)#178
3. 48028 100.0% 13.1% (+86.9)#3 12.4% (+87.6)#218
4. 49627 100.0% 13.1% (+86.9)#4 12.4% (+87.6)#442
5. 49863 100.0% 13.1% (+86.9)#5 12.4% (+87.6)#499
6. 49312 100.0% 13.1% (+86.9)#6 12.4% (+87.6)#515
7. 49289 100.0% 13.1% (+86.9)#7 12.4% (+87.6)#560
8. 49117 88.6% 13.1% (+75.5)#8 12.4% (+76.2)#646
9. 48703 84.2% 13.1% (+71.1)#9 12.4% (+71.8)#678
10. 48896 82.4% 13.1% (+69.3)#10 12.4% (+69.9)#711
11. 49760 80.0% 13.1% (+66.9)#11 12.4% (+67.6)#755
12. 49745 77.1% 13.1% (+64.0)#12 12.4% (+64.6)#809
13. 49328 72.4% 13.1% (+59.3)#13 12.4% (+60.0)#902
14. 48456 71.4% 13.1% (+58.3)#14 12.4% (+59.0)#922
15. 49835 70.0% 13.1% (+56.9)#15 12.4% (+57.6)#961
16. 49931 67.6% 13.1% (+54.5)#16 12.4% (+55.2)#1,024
17. 48897 66.7% 13.1% (+53.6)#17 12.4% (+54.2)#1,056
18. 48023 65.4% 13.1% (+52.3)#18 12.4% (+52.9)#1,103
19. 49232 63.6% 13.1% (+50.5)#19 12.4% (+51.2)#1,138
20. 48417 61.9% 13.1% (+48.8)#20 12.4% (+49.5)#1,210
21. 48215 56.7% 13.1% (+43.6)#21 12.4% (+44.3)#1,433
22. 49945 56.4% 13.1% (+43.3)#22 12.4% (+44.0)#1,452
23. 48893 56.1% 13.1% (+43.0)#23 12.4% (+43.6)#1,466
24. 49716 56.0% 13.1% (+42.9)#24 12.4% (+43.6)#1,468
25. 48657 55.8% 13.1% (+42.7)#25 12.4% (+43.4)#1,474
26. 48728 55.0% 13.1% (+41.9)#26 12.4% (+42.6)#1,518
27. 48166 54.8% 13.1% (+41.7)#27 12.4% (+42.4)#1,525
28. 49238 54.7% 13.1% (+41.6)#28 12.4% (+42.3)#1,528
29. 48302 53.1% 13.1% (+40.0)#29 12.4% (+40.7)#1,594
30. 49412 52.1% 13.1% (+39.0)#30 12.4% (+39.7)#1,662
31. 48933 52.0% 13.1% (+38.9)#31 12.4% (+39.6)#1,664
32. 49656 50.0% 13.1% (+36.9)#32 12.4% (+37.6)#1,764
33. 49827 50.0% 13.1% (+36.9)#33 12.4% (+37.6)#1,777
34. 49903 50.0% 13.1% (+36.9)#34 12.4% (+37.6)#1,862
35. 48216 49.1% 13.1% (+36.0)#35 12.4% (+36.7)#1,907
36. 49040 48.7% 13.1% (+35.6)#36 12.4% (+36.3)#1,925
37. 48341 47.6% 13.1% (+34.5)#37 12.4% (+35.2)#1,981
38. 49705 47.4% 13.1% (+34.3)#38 12.4% (+34.9)#1,999
39. 48744 47.3% 13.1% (+34.2)#39 12.4% (+34.9)#2,004
40. 49095 46.7% 13.1% (+33.6)#40 12.4% (+34.2)#2,039
41. 48737 46.7% 13.1% (+33.6)#41 12.4% (+34.2)#2,043
42. 48469 46.4% 13.1% (+33.3)#42 12.4% (+34.0)#2,058
43. 49271 45.8% 13.1% (+32.7)#43 12.4% (+33.4)#2,096
44. 49668 45.6% 13.1% (+32.5)#44 12.4% (+33.2)#2,116
45. 48204 45.6% 13.1% (+32.5)#45 12.4% (+33.2)#2,117
46. 49765 45.5% 13.1% (+32.4)#46 12.4% (+33.0)#2,120
47. 48740 45.0% 13.1% (+31.9)#47 12.4% (+32.6)#2,155
48. 48218 44.8% 13.1% (+31.7)#48 12.4% (+32.3)#2,172
49. 48418 44.7% 13.1% (+31.6)#49 12.4% (+32.3)#2,175
50. 49664 44.4% 13.1% (+31.3)#50 12.4% (+32.0)#2,204
51. 49896 44.4% 13.1% (+31.3)#51 12.4% (+32.0)#2,207
52. 48468 44.4% 13.1% (+31.3)#52 12.4% (+32.0)#2,214
53. 48851 44.2% 13.1% (+31.1)#53 12.4% (+31.8)#2,238
54. 48505 43.5% 13.1% (+30.4)#54 12.4% (+31.0)#2,291
55. 48476 42.9% 13.1% (+29.8)#55 12.4% (+30.4)#2,352
56. 48213 42.4% 13.1% (+29.3)#56 12.4% (+29.9)#2,396
57. 48625 42.1% 13.1% (+29.0)#57 12.4% (+29.7)#2,414
58. 48720 42.1% 13.1% (+29.0)#58 12.4% (+29.7)#2,422
59. 49874 41.7% 13.1% (+28.6)#59 12.4% (+29.2)#2,461
60. 49099 41.2% 13.1% (+28.1)#60 12.4% (+28.7)#2,501
61. 49309 40.7% 13.1% (+27.6)#61 12.4% (+28.3)#2,539
62. 49112 40.6% 13.1% (+27.5)#62 12.4% (+28.1)#2,559
63. 48224 40.0% 13.1% (+26.9)#63 12.4% (+27.6)#2,597
64. 48062 39.7% 13.1% (+26.6)#64 12.4% (+27.2)#2,683
65. 48201 39.5% 13.1% (+26.4)#65 12.4% (+27.1)#2,698
66. 49326 39.5% 13.1% (+26.4)#66 12.4% (+27.0)#2,701
67. 48768 39.1% 13.1% (+26.0)#67 12.4% (+26.7)#2,735
68. 48722 38.7% 13.1% (+25.6)#68 12.4% (+26.3)#2,776
69. 48401 37.9% 13.1% (+24.8)#69 12.4% (+25.5)#2,860
70. 48529 37.5% 13.1% (+24.4)#70 12.4% (+25.1)#2,893
71. 48074 37.2% 13.1% (+24.1)#71 12.4% (+24.8)#2,934
72. 48214 37.1% 13.1% (+24.0)#72 12.4% (+24.7)#2,945
73. 49056 37.0% 13.1% (+23.9)#73 12.4% (+24.6)#2,948
74. 49841 36.8% 13.1% (+23.7)#74 12.4% (+24.4)#2,969
75. 49817 36.8% 13.1% (+23.7)#75 12.4% (+24.4)#2,979
76. 49279 36.6% 13.1% (+23.5)#76 12.4% (+24.2)#3,007
77. 48032 35.4% 13.1% (+22.3)#77 12.4% (+22.9)#3,144
78. 49277 34.5% 13.1% (+21.4)#78 12.4% (+22.1)#3,242
79. 49911 34.4% 13.1% (+21.3)#79 12.4% (+21.9)#3,265
80. 49004 34.2% 13.1% (+21.1)#80 12.4% (+21.8)#3,282
81. 48770 33.8% 13.1% (+20.7)#81 12.4% (+21.4)#3,321
82. 48475 33.3% 13.1% (+20.2)#82 12.4% (+20.9)#3,385
83. 49688 33.3% 13.1% (+20.2)#83 12.4% (+20.9)#3,389
84. 49034 33.3% 13.1% (+20.2)#84 12.4% (+20.9)#3,392
85. 49968 33.3% 13.1% (+20.2)#85 12.4% (+20.9)#3,393
86. 49892 33.3% 13.1% (+20.2)#86 12.4% (+20.9)#3,394
87. 49753 33.3% 13.1% (+20.2)#87 12.4% (+20.9)#3,399
88. 49113 33.3% 13.1% (+20.2)#88 12.4% (+20.9)#3,400
89. 49967 33.3% 13.1% (+20.2)#89 12.4% (+20.9)#3,465
90. 49027 33.3% 13.1% (+20.2)#90 12.4% (+20.9)#3,473
91. 49788 32.7% 13.1% (+19.6)#91 12.4% (+20.3)#3,541
92. 48615 32.1% 13.1% (+19.0)#92 12.4% (+19.6)#3,624
93. 48601 31.9% 13.1% (+18.8)#93 12.4% (+19.5)#3,640
94. 49644 31.8% 13.1% (+18.7)#94 12.4% (+19.4)#3,659
95. 48811 31.7% 13.1% (+18.6)#95 12.4% (+19.3)#3,673
96. 48757 31.5% 13.1% (+18.4)#96 12.4% (+19.1)#3,713
97. 48179 31.4% 13.1% (+18.3)#97 12.4% (+19.0)#3,727
98. 48122 31.2% 13.1% (+18.1)#98 12.4% (+18.8)#3,745
99. 48906 31.1% 13.1% (+18.0)#99 12.4% (+18.7)#3,771
100. 48238 30.9% 13.1% (+17.8)#100 12.4% (+18.5)#3,796

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Males in Michigan?
Top 10 Zip Codes with the Highest Poverty Level Among Single Males in Michigan are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
100.0%
#6
100.0%
#7
100.0%
#8
88.6%
#9
84.2%
#10
82.4%
What zip code has the Highest Poverty Level Among Single Males in Michigan?
48370 has the Highest Poverty Level Among Single Males in Michigan with 100.0%.
What is the Poverty Level Among Single Males in the State of Michigan?
Poverty Level Among Single Males in Michigan is 13.1%.
What is the Poverty Level Among Single Males in the United States?
Poverty Level Among Single Males in the United States is 12.4%.