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

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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
Michigan
Compare Zip Codes
Comparison Subject

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

60.0%
100.0%
Zip Codes with the Highest Poverty Level Among Single Mothers in Michigan Map

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

Zip Code Single Mother Poverty vs State vs National
1. 48634 100.0% 35.5% (+64.5)#1 33.1% (+66.9)#24
2. 48502 100.0% 35.5% (+64.5)#2 33.1% (+66.9)#322
3. 48662 100.0% 35.5% (+64.5)#3 33.1% (+66.9)#340
4. 48737 100.0% 35.5% (+64.5)#4 33.1% (+66.9)#368
5. 49632 100.0% 35.5% (+64.5)#5 33.1% (+66.9)#444
6. 49836 100.0% 35.5% (+64.5)#6 33.1% (+66.9)#445
7. 49950 100.0% 35.5% (+64.5)#7 33.1% (+66.9)#482
8. 48028 100.0% 35.5% (+64.5)#8 33.1% (+66.9)#493
9. 49303 100.0% 35.5% (+64.5)#9 33.1% (+66.9)#510
10. 49922 100.0% 35.5% (+64.5)#10 33.1% (+66.9)#530
11. 49618 100.0% 35.5% (+64.5)#11 33.1% (+66.9)#570
12. 49958 100.0% 35.5% (+64.5)#12 33.1% (+66.9)#578
13. 49757 100.0% 35.5% (+64.5)#13 33.1% (+66.9)#579
14. 48724 100.0% 35.5% (+64.5)#14 33.1% (+66.9)#606
15. 48470 100.0% 35.5% (+64.5)#15 33.1% (+66.9)#809
16. 49884 100.0% 35.5% (+64.5)#16 33.1% (+66.9)#822
17. 49611 100.0% 35.5% (+64.5)#17 33.1% (+66.9)#1,022
18. 49728 100.0% 35.5% (+64.5)#18 33.1% (+66.9)#1,072
19. 49921 100.0% 35.5% (+64.5)#19 33.1% (+66.9)#1,085
20. 49261 100.0% 35.5% (+64.5)#20 33.1% (+66.9)#1,197
21. 49903 100.0% 35.5% (+64.5)#21 33.1% (+66.9)#1,337
22. 49883 100.0% 35.5% (+64.5)#22 33.1% (+66.9)#1,369
23. 48852 100.0% 35.5% (+64.5)#23 33.1% (+66.9)#1,377
24. 49312 100.0% 35.5% (+64.5)#24 33.1% (+66.9)#1,384
25. 49893 88.9% 35.5% (+53.4)#25 33.1% (+55.8)#1,734
26. 49043 88.2% 35.5% (+52.7)#26 33.1% (+55.1)#1,764
27. 49963 86.7% 35.5% (+51.1)#27 33.1% (+53.5)#1,849
28. 49670 85.7% 35.5% (+50.2)#28 33.1% (+52.6)#1,889
29. 48853 85.2% 35.5% (+49.6)#29 33.1% (+52.0)#1,926
30. 49667 84.4% 35.5% (+48.8)#30 33.1% (+51.2)#1,961
31. 48226 83.3% 35.5% (+47.8)#31 33.1% (+50.2)#2,004
32. 48656 82.7% 35.5% (+47.1)#32 33.1% (+49.5)#2,065
33. 49683 82.4% 35.5% (+46.8)#33 33.1% (+49.2)#2,080
34. 48469 82.4% 35.5% (+46.8)#34 33.1% (+49.2)#2,083
35. 48865 80.6% 35.5% (+45.1)#35 33.1% (+47.5)#2,182
36. 49098 79.8% 35.5% (+44.3)#36 33.1% (+46.7)#2,267
37. 48218 79.2% 35.5% (+43.7)#37 33.1% (+46.1)#2,293
38. 49102 79.1% 35.5% (+43.5)#38 33.1% (+45.9)#2,305
39. 49622 78.9% 35.5% (+43.4)#39 33.1% (+45.8)#2,313
40. 48745 77.8% 35.5% (+42.2)#40 33.1% (+44.6)#2,383
41. 49061 77.5% 35.5% (+41.9)#41 33.1% (+44.3)#2,420
42. 48845 77.3% 35.5% (+41.7)#42 33.1% (+44.1)#2,428
43. 48612 77.1% 35.5% (+41.6)#43 33.1% (+44.0)#2,436
44. 49645 76.5% 35.5% (+40.9)#44 33.1% (+43.3)#2,492
45. 48759 76.2% 35.5% (+40.7)#45 33.1% (+43.1)#2,505
46. 49917 75.0% 35.5% (+39.5)#46 33.1% (+41.9)#2,640
47. 49338 74.7% 35.5% (+39.1)#47 33.1% (+41.5)#2,660
48. 49837 74.6% 35.5% (+39.0)#48 33.1% (+41.4)#2,667
49. 49709 74.2% 35.5% (+38.7)#49 33.1% (+41.1)#2,693
50. 49040 74.2% 35.5% (+38.7)#50 33.1% (+41.1)#2,695
51. 49638 73.9% 35.5% (+38.4)#51 33.1% (+40.8)#2,720
52. 48617 73.4% 35.5% (+37.9)#52 33.1% (+40.3)#2,755
53. 49088 73.3% 35.5% (+37.8)#53 33.1% (+40.2)#2,762
54. 49328 72.2% 35.5% (+36.7)#54 33.1% (+39.1)#2,883
55. 48215 71.5% 35.5% (+35.9)#55 33.1% (+38.3)#2,936
56. 48738 71.4% 35.5% (+35.9)#56 33.1% (+38.3)#2,959
57. 49027 71.4% 35.5% (+35.9)#57 33.1% (+38.3)#2,975
58. 48801 71.3% 35.5% (+35.8)#58 33.1% (+38.2)#2,982
59. 48157 71.0% 35.5% (+35.4)#59 33.1% (+37.8)#3,001
60. 49706 70.3% 35.5% (+34.7)#60 33.1% (+37.1)#3,067
61. 49630 70.0% 35.5% (+34.5)#61 33.1% (+36.9)#3,102
62. 49268 70.0% 35.5% (+34.5)#62 33.1% (+36.9)#3,104
63. 49905 69.6% 35.5% (+34.0)#63 33.1% (+36.4)#3,142
64. 48607 69.6% 35.5% (+34.0)#64 33.1% (+36.4)#3,145
65. 48632 69.4% 35.5% (+33.9)#65 33.1% (+36.3)#3,164
66. 49619 69.2% 35.5% (+33.7)#66 33.1% (+36.1)#3,192
67. 48201 69.1% 35.5% (+33.5)#67 33.1% (+35.9)#3,206
68. 49408 69.0% 35.5% (+33.5)#68 33.1% (+35.9)#3,209
69. 48450 68.9% 35.5% (+33.4)#69 33.1% (+35.8)#3,217
70. 49256 68.4% 35.5% (+32.9)#70 33.1% (+35.3)#3,258
71. 49642 68.4% 35.5% (+32.9)#71 33.1% (+35.3)#3,262
72. 49635 68.0% 35.5% (+32.5)#72 33.1% (+34.9)#3,302
73. 49744 68.0% 35.5% (+32.5)#73 33.1% (+34.9)#3,310
74. 49271 67.6% 35.5% (+32.0)#74 33.1% (+34.4)#3,345
75. 49788 67.3% 35.5% (+31.7)#75 33.1% (+34.1)#3,370
76. 49047 67.2% 35.5% (+31.6)#76 33.1% (+34.0)#3,379
77. 49339 66.7% 35.5% (+31.1)#77 33.1% (+33.5)#3,433
78. 49759 66.7% 35.5% (+31.1)#78 33.1% (+33.5)#3,447
79. 48766 66.7% 35.5% (+31.1)#79 33.1% (+33.5)#3,454
80. 49879 66.7% 35.5% (+31.1)#80 33.1% (+33.5)#3,467
81. 48621 66.7% 35.5% (+31.1)#81 33.1% (+33.5)#3,470
82. 48456 66.7% 35.5% (+31.1)#82 33.1% (+33.5)#3,486
83. 49718 66.7% 35.5% (+31.1)#83 33.1% (+33.5)#3,489
84. 49834 66.7% 35.5% (+31.1)#84 33.1% (+33.5)#3,497
85. 49861 66.7% 35.5% (+31.1)#85 33.1% (+33.5)#3,502
86. 49967 66.7% 35.5% (+31.1)#86 33.1% (+33.5)#3,529
87. 49336 66.4% 35.5% (+30.8)#87 33.1% (+33.2)#3,564
88. 49022 65.6% 35.5% (+30.1)#88 33.1% (+32.5)#3,630
89. 48003 65.4% 35.5% (+29.8)#89 33.1% (+32.2)#3,657
90. 49230 65.3% 35.5% (+29.8)#90 33.1% (+32.2)#3,668
91. 49544 65.3% 35.5% (+29.8)#91 33.1% (+32.2)#3,670
92. 49096 65.1% 35.5% (+29.6)#92 33.1% (+32.0)#3,691
93. 48765 65.0% 35.5% (+29.5)#93 33.1% (+31.9)#3,715
94. 48444 65.0% 35.5% (+29.4)#94 33.1% (+31.8)#3,719
95. 48203 64.1% 35.5% (+28.5)#95 33.1% (+30.9)#3,841
96. 49249 64.0% 35.5% (+28.5)#96 33.1% (+30.9)#3,843
97. 48212 63.9% 35.5% (+28.4)#97 33.1% (+30.8)#3,853
98. 48216 63.9% 35.5% (+28.4)#98 33.1% (+30.8)#3,857
99. 49780 63.6% 35.5% (+28.1)#99 33.1% (+30.5)#3,895
100. 49090 63.5% 35.5% (+28.0)#100 33.1% (+30.4)#3,919

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers in Michigan?
Top 10 Zip Codes with the Highest Poverty Level Among Single Mothers 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
100.0%
#9
100.0%
#10
100.0%
What zip code has the Highest Poverty Level Among Single Mothers in Michigan?
48634 has the Highest Poverty Level Among Single Mothers in Michigan with 100.0%.
What is the Poverty Level Among Single Mothers in the State of Michigan?
Poverty Level Among Single Mothers in Michigan is 35.5%.
What is the Poverty Level Among Single Mothers in the United States?
Poverty Level Among Single Mothers in the United States is 33.1%.