Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in Michigan

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Highest Poverty | Seniors 65+
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 Seniors Over the Age of 65 in Michigan

0.0%
100.0%
Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in Michigan Map

Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in Michigan

Zip Code Senior Poverty vs State vs National
1. 48859 100.0% 9.0% (+91.0)#1 10.0% (+90.0)#4
2. 48177 50.0% 9.0% (+41.0)#2 10.0% (+40.0)#439
3. 48201 43.7% 9.0% (+34.7)#3 10.0% (+33.7)#661
4. 48933 41.4% 9.0% (+32.4)#4 10.0% (+31.4)#752
5. 48208 39.5% 9.0% (+30.5)#5 10.0% (+29.6)#831
6. 49910 37.3% 9.0% (+28.4)#6 10.0% (+27.4)#961
7. 48203 33.9% 9.0% (+24.9)#7 10.0% (+23.9)#1,173
8. 49667 32.0% 9.0% (+23.1)#8 10.0% (+22.1)#1,339
9. 49744 31.3% 9.0% (+22.4)#9 10.0% (+21.4)#1,400
10. 48214 31.3% 9.0% (+22.4)#10 10.0% (+21.4)#1,405
11. 48202 30.2% 9.0% (+21.2)#11 10.0% (+20.3)#1,510
12. 48218 29.2% 9.0% (+20.3)#12 10.0% (+19.3)#1,602
13. 48502 27.9% 9.0% (+18.9)#13 10.0% (+18.0)#1,778
14. 49876 26.4% 9.0% (+17.4)#14 10.0% (+16.4)#2,031
15. 49303 25.9% 9.0% (+16.9)#15 10.0% (+15.9)#2,117
16. 48204 25.8% 9.0% (+16.9)#16 10.0% (+15.9)#2,127
17. 48770 24.8% 9.0% (+15.8)#17 10.0% (+14.8)#2,342
18. 48216 24.3% 9.0% (+15.4)#18 10.0% (+14.4)#2,454
19. 48209 24.1% 9.0% (+15.1)#19 10.0% (+14.1)#2,517
20. 49452 24.0% 9.0% (+15.0)#20 10.0% (+14.0)#2,551
21. 49726 23.6% 9.0% (+14.7)#21 10.0% (+13.7)#2,617
22. 48342 23.4% 9.0% (+14.4)#22 10.0% (+13.4)#2,668
23. 48227 23.0% 9.0% (+14.0)#23 10.0% (+13.0)#2,781
24. 48228 23.0% 9.0% (+14.0)#24 10.0% (+13.0)#2,787
25. 48818 22.5% 9.0% (+13.5)#25 10.0% (+12.5)#2,925
26. 48206 22.4% 9.0% (+13.5)#26 10.0% (+12.5)#2,933
27. 48122 22.4% 9.0% (+13.5)#27 10.0% (+12.5)#2,939
28. 48226 22.3% 9.0% (+13.4)#28 10.0% (+12.4)#2,966
29. 49616 22.1% 9.0% (+13.1)#29 10.0% (+12.1)#3,033
30. 48238 22.1% 9.0% (+13.1)#30 10.0% (+12.1)#3,036
31. 48210 21.8% 9.0% (+12.8)#31 10.0% (+11.8)#3,115
32. 49027 21.7% 9.0% (+12.8)#32 10.0% (+11.8)#3,133
33. 48212 21.7% 9.0% (+12.7)#33 10.0% (+11.7)#3,151
34. 48505 21.6% 9.0% (+12.6)#34 10.0% (+11.6)#3,175
35. 49255 21.5% 9.0% (+12.5)#35 10.0% (+11.6)#3,195
36. 48434 21.4% 9.0% (+12.5)#36 10.0% (+11.5)#3,232
37. 49901 21.1% 9.0% (+12.2)#37 10.0% (+11.2)#3,307
38. 48401 21.0% 9.0% (+12.0)#38 10.0% (+11.0)#3,355
39. 48213 20.1% 9.0% (+11.2)#39 10.0% (+10.2)#3,648
40. 49089 20.1% 9.0% (+11.1)#40 10.0% (+10.1)#3,664
41. 48607 20.1% 9.0% (+11.1)#41 10.0% (+10.1)#3,665
42. 48662 20.1% 9.0% (+11.1)#42 10.0% (+10.1)#3,679
43. 49929 20.0% 9.0% (+11.0)#43 10.0% (+10.0)#3,726
44. 49877 20.0% 9.0% (+11.0)#44 10.0% (+10.0)#3,743
45. 49022 19.9% 9.0% (+11.0)#45 10.0% (+9.96)#3,756
46. 48219 19.8% 9.0% (+10.9)#46 10.0% (+9.86)#3,792
47. 48207 19.6% 9.0% (+10.7)#47 10.0% (+9.67)#3,880
48. 48141 19.6% 9.0% (+10.6)#48 10.0% (+9.63)#3,898
49. 49883 19.6% 9.0% (+10.6)#49 10.0% (+9.61)#3,908
50. 49503 19.5% 9.0% (+10.6)#50 10.0% (+9.56)#3,933
51. 48205 19.5% 9.0% (+10.5)#51 10.0% (+9.56)#3,937
52. 49705 19.4% 9.0% (+10.4)#52 10.0% (+9.45)#3,988
53. 48357 19.2% 9.0% (+10.3)#53 10.0% (+9.29)#4,046
54. 48127 18.9% 9.0% (+9.96)#54 10.0% (+8.98)#4,158
55. 49115 18.8% 9.0% (+9.86)#55 10.0% (+8.87)#4,210
56. 48215 18.8% 9.0% (+9.82)#56 10.0% (+8.83)#4,225
57. 48083 18.8% 9.0% (+9.81)#57 10.0% (+8.82)#4,227
58. 48217 18.8% 9.0% (+9.79)#58 10.0% (+8.80)#4,233
59. 49007 18.7% 9.0% (+9.69)#59 10.0% (+8.71)#4,284
60. 49339 18.5% 9.0% (+9.53)#60 10.0% (+8.54)#4,347
61. 48126 18.4% 9.0% (+9.45)#61 10.0% (+8.46)#4,394
62. 49674 18.4% 9.0% (+9.42)#62 10.0% (+8.43)#4,409
63. 48457 18.3% 9.0% (+9.31)#63 10.0% (+8.32)#4,458
64. 49871 18.1% 9.0% (+9.09)#64 10.0% (+8.10)#4,561
65. 48145 18.0% 9.0% (+9.03)#65 10.0% (+8.05)#4,585
66. 48211 18.0% 9.0% (+9.02)#66 10.0% (+8.03)#4,595
67. 48225 17.9% 9.0% (+8.89)#67 10.0% (+7.90)#4,654
68. 48234 17.8% 9.0% (+8.83)#68 10.0% (+7.84)#4,677
69. 48030 17.8% 9.0% (+8.82)#69 10.0% (+7.83)#4,685
70. 49066 17.8% 9.0% (+8.80)#70 10.0% (+7.81)#4,695
71. 48915 17.5% 9.0% (+8.51)#71 10.0% (+7.52)#4,868
72. 48071 17.2% 9.0% (+8.27)#72 10.0% (+7.28)#5,030
73. 49504 17.2% 9.0% (+8.24)#73 10.0% (+7.25)#5,044
74. 48461 17.1% 9.0% (+8.18)#74 10.0% (+7.19)#5,073
75. 49347 17.1% 9.0% (+8.12)#75 10.0% (+7.13)#5,115
76. 49052 17.1% 9.0% (+8.11)#76 10.0% (+7.12)#5,121
77. 48733 17.0% 9.0% (+8.01)#77 10.0% (+7.02)#5,182
78. 48503 16.9% 9.0% (+7.96)#78 10.0% (+6.97)#5,216
79. 48445 16.9% 9.0% (+7.90)#79 10.0% (+6.91)#5,266
80. 49963 16.8% 9.0% (+7.84)#80 10.0% (+6.86)#5,293
81. 49627 16.8% 9.0% (+7.84)#81 10.0% (+6.85)#5,295
82. 48851 16.7% 9.0% (+7.77)#82 10.0% (+6.78)#5,338
83. 49252 16.7% 9.0% (+7.74)#83 10.0% (+6.75)#5,348
84. 48089 16.7% 9.0% (+7.71)#84 10.0% (+6.72)#5,358
85. 49748 16.7% 9.0% (+7.70)#85 10.0% (+6.71)#5,402
86. 48120 16.6% 9.0% (+7.68)#86 10.0% (+6.70)#5,425
87. 49037 16.6% 9.0% (+7.65)#87 10.0% (+6.66)#5,438
88. 49911 16.6% 9.0% (+7.65)#88 10.0% (+6.66)#5,440
89. 49958 16.5% 9.0% (+7.52)#89 10.0% (+6.53)#5,508
90. 48723 16.5% 9.0% (+7.49)#90 10.0% (+6.50)#5,534
91. 49507 16.4% 9.0% (+7.48)#91 10.0% (+6.49)#5,538
92. 49304 16.4% 9.0% (+7.44)#92 10.0% (+6.45)#5,570
93. 48601 16.3% 9.0% (+7.38)#93 10.0% (+6.39)#5,612
94. 49064 16.1% 9.0% (+7.13)#94 10.0% (+6.14)#5,771
95. 48340 16.1% 9.0% (+7.11)#95 10.0% (+6.12)#5,787
96. 49918 15.9% 9.0% (+6.95)#96 10.0% (+5.96)#5,888
97. 48224 15.9% 9.0% (+6.90)#97 10.0% (+5.91)#5,918
98. 49440 15.9% 9.0% (+6.89)#98 10.0% (+5.90)#5,929
99. 48235 15.7% 9.0% (+6.76)#99 10.0% (+5.77)#6,020
100. 48647 15.5% 9.0% (+6.51)#100 10.0% (+5.52)#6,207

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in Michigan?
Top 10 Zip Codes with the Highest Poverty Level Among Seniors Over the Age of 65 in Michigan are:
#1
100.0%
#2
50.0%
#3
43.7%
#4
41.4%
#5
39.5%
#6
37.3%
#7
33.9%
#8
32.0%
#9
31.3%
#10
31.3%
What zip code has the Highest Poverty Level Among Seniors Over the Age of 65 in Michigan?
48859 has the Highest Poverty Level Among Seniors Over the Age of 65 in Michigan with 100.0%.
What is the Poverty Level Among Seniors Over the Age of 65 in the State of Michigan?
Poverty Level Among Seniors Over the Age of 65 in Michigan is 9.0%.
What is the Poverty Level Among Seniors Over the Age of 65 in the United States?
Poverty Level Among Seniors Over the Age of 65 in the United States is 10.0%.