Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Michigan

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Highest Poverty | Child 0-16
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 Children Under the Age of 16 in Michigan

30.0%
100.0%
Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Michigan Map

Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Michigan

Zip Code Child Poverty vs State vs National
1. 48502 100.0% 18.2% (+81.8)#1 16.9% (+83.1)#10
2. 48724 100.0% 18.2% (+81.8)#2 16.9% (+83.1)#22
3. 49910 100.0% 18.2% (+81.8)#3 16.9% (+83.1)#125
4. 49768 93.3% 18.2% (+75.1)#4 16.9% (+76.4)#311
5. 49312 86.2% 18.2% (+68.0)#5 16.9% (+69.3)#378
6. 48028 84.6% 18.2% (+66.4)#6 16.9% (+67.7)#402
7. 49642 83.3% 18.2% (+65.0)#7 16.9% (+66.3)#426
8. 48896 80.6% 18.2% (+62.4)#8 16.9% (+63.7)#472
9. 49960 72.2% 18.2% (+54.0)#9 16.9% (+55.3)#649
10. 48933 71.9% 18.2% (+53.7)#10 16.9% (+55.0)#656
11. 48853 71.4% 18.2% (+53.2)#11 16.9% (+54.5)#672
12. 49903 71.4% 18.2% (+53.2)#12 16.9% (+54.5)#676
13. 49289 70.0% 18.2% (+51.8)#13 16.9% (+53.1)#714
14. 48728 69.4% 18.2% (+51.2)#14 16.9% (+52.5)#734
15. 48737 68.7% 18.2% (+50.4)#15 16.9% (+51.7)#762
16. 49718 68.3% 18.2% (+50.1)#16 16.9% (+51.4)#774
17. 48218 68.3% 18.2% (+50.0)#17 16.9% (+51.4)#776
18. 49440 65.7% 18.2% (+47.5)#18 16.9% (+48.8)#862
19. 49820 64.3% 18.2% (+46.0)#19 16.9% (+47.3)#915
20. 49788 62.9% 18.2% (+44.7)#20 16.9% (+46.0)#967
21. 48215 61.9% 18.2% (+43.7)#21 16.9% (+45.0)#1,004
22. 48201 58.8% 18.2% (+40.5)#22 16.9% (+41.8)#1,156
23. 48756 58.1% 18.2% (+39.8)#23 16.9% (+41.1)#1,197
24. 49958 57.7% 18.2% (+39.4)#24 16.9% (+40.7)#1,222
25. 49743 57.0% 18.2% (+38.7)#25 16.9% (+40.0)#1,270
26. 49043 57.0% 18.2% (+38.7)#26 16.9% (+40.0)#1,271
27. 48505 56.7% 18.2% (+38.5)#27 16.9% (+39.8)#1,286
28. 48238 56.2% 18.2% (+37.9)#28 16.9% (+39.2)#1,315
29. 48426 55.3% 18.2% (+37.0)#29 16.9% (+38.4)#1,385
30. 49007 55.1% 18.2% (+36.8)#30 16.9% (+38.1)#1,400
31. 48203 54.5% 18.2% (+36.3)#31 16.9% (+37.6)#1,433
32. 48234 54.2% 18.2% (+36.0)#32 16.9% (+37.3)#1,451
33. 49238 53.7% 18.2% (+35.5)#33 16.9% (+36.8)#1,497
34. 49667 53.3% 18.2% (+35.0)#34 16.9% (+36.4)#1,535
35. 48213 52.3% 18.2% (+34.1)#35 16.9% (+35.4)#1,616
36. 48141 52.0% 18.2% (+33.8)#36 16.9% (+35.1)#1,637
37. 48211 52.0% 18.2% (+33.8)#37 16.9% (+35.1)#1,638
38. 49863 51.7% 18.2% (+33.5)#38 16.9% (+34.8)#1,669
39. 48157 51.5% 18.2% (+33.2)#39 16.9% (+34.6)#1,692
40. 48210 51.4% 18.2% (+33.1)#40 16.9% (+34.4)#1,707
41. 49836 51.3% 18.2% (+33.0)#41 16.9% (+34.4)#1,712
42. 49274 51.3% 18.2% (+33.0)#42 16.9% (+34.3)#1,715
43. 49261 51.2% 18.2% (+32.9)#43 16.9% (+34.2)#1,727
44. 49338 51.0% 18.2% (+32.8)#44 16.9% (+34.1)#1,735
45. 48204 50.7% 18.2% (+32.5)#45 16.9% (+33.8)#1,762
46. 48224 50.5% 18.2% (+32.3)#46 16.9% (+33.6)#1,781
47. 49961 50.0% 18.2% (+31.8)#47 16.9% (+33.1)#1,850
48. 49232 49.9% 18.2% (+31.7)#48 16.9% (+33.0)#1,865
49. 48342 49.2% 18.2% (+31.0)#49 16.9% (+32.3)#1,909
50. 48209 48.9% 18.2% (+30.7)#50 16.9% (+32.0)#1,937
51. 48228 48.9% 18.2% (+30.7)#51 16.9% (+32.0)#1,938
52. 48601 48.9% 18.2% (+30.6)#52 16.9% (+31.9)#1,944
53. 49022 48.3% 18.2% (+30.0)#53 16.9% (+31.3)#2,007
54. 49760 47.8% 18.2% (+29.6)#54 16.9% (+30.9)#2,055
55. 48207 47.6% 18.2% (+29.4)#55 16.9% (+30.7)#2,082
56. 48651 47.6% 18.2% (+29.4)#56 16.9% (+30.7)#2,084
57. 48469 47.3% 18.2% (+29.0)#57 16.9% (+30.3)#2,115
58. 49791 47.2% 18.2% (+29.0)#58 16.9% (+30.3)#2,123
59. 48227 46.8% 18.2% (+28.6)#59 16.9% (+29.9)#2,172
60. 48120 46.8% 18.2% (+28.5)#60 16.9% (+29.8)#2,180
61. 48504 46.5% 18.2% (+28.3)#61 16.9% (+29.6)#2,210
62. 48602 46.4% 18.2% (+28.2)#62 16.9% (+29.5)#2,220
63. 49806 46.3% 18.2% (+28.0)#63 16.9% (+29.3)#2,242
64. 49852 45.7% 18.2% (+27.5)#64 16.9% (+28.8)#2,313
65. 48205 45.6% 18.2% (+27.3)#65 16.9% (+28.6)#2,332
66. 48126 45.5% 18.2% (+27.2)#66 16.9% (+28.5)#2,340
67. 48122 45.5% 18.2% (+27.2)#67 16.9% (+28.5)#2,341
68. 48754 45.0% 18.2% (+26.8)#68 16.9% (+28.1)#2,397
69. 49255 44.9% 18.2% (+26.6)#69 16.9% (+28.0)#2,419
70. 48656 44.9% 18.2% (+26.6)#70 16.9% (+27.9)#2,426
71. 49645 44.3% 18.2% (+26.0)#71 16.9% (+27.3)#2,506
72. 48212 44.1% 18.2% (+25.8)#72 16.9% (+27.1)#2,530
73. 48891 44.0% 18.2% (+25.7)#73 16.9% (+27.0)#2,545
74. 48450 43.7% 18.2% (+25.5)#74 16.9% (+26.8)#2,577
75. 48529 43.6% 18.2% (+25.4)#75 16.9% (+26.7)#2,600
76. 48604 43.4% 18.2% (+25.1)#76 16.9% (+26.4)#2,651
77. 48622 43.0% 18.2% (+24.7)#77 16.9% (+26.0)#2,711
78. 49709 42.3% 18.2% (+24.1)#78 16.9% (+25.4)#2,801
79. 48507 41.8% 18.2% (+23.5)#79 16.9% (+24.8)#2,876
80. 49309 41.4% 18.2% (+23.1)#80 16.9% (+24.4)#2,933
81. 49227 39.9% 18.2% (+21.7)#81 16.9% (+23.0)#3,183
82. 49827 39.9% 18.2% (+21.6)#82 16.9% (+22.9)#3,189
83. 48235 39.8% 18.2% (+21.5)#83 16.9% (+22.8)#3,213
84. 48503 39.6% 18.2% (+21.3)#84 16.9% (+22.7)#3,248
85. 48720 39.6% 18.2% (+21.3)#85 16.9% (+22.6)#3,254
86. 48401 39.2% 18.2% (+21.0)#86 16.9% (+22.3)#3,318
87. 49838 39.1% 18.2% (+20.9)#87 16.9% (+22.2)#3,328
88. 49268 38.6% 18.2% (+20.4)#88 16.9% (+21.7)#3,418
89. 48202 38.5% 18.2% (+20.3)#89 16.9% (+21.6)#3,431
90. 49618 38.3% 18.2% (+20.1)#90 16.9% (+21.4)#3,466
91. 48198 38.3% 18.2% (+20.1)#91 16.9% (+21.4)#3,471
92. 49507 38.3% 18.2% (+20.1)#92 16.9% (+21.4)#3,476
93. 49047 38.2% 18.2% (+20.0)#93 16.9% (+21.3)#3,501
94. 48506 38.0% 18.2% (+19.8)#94 16.9% (+21.1)#3,537
95. 49756 37.6% 18.2% (+19.4)#95 16.9% (+20.7)#3,615
96. 49781 37.6% 18.2% (+19.3)#96 16.9% (+20.6)#3,621
97. 49945 37.3% 18.2% (+19.1)#97 16.9% (+20.4)#3,675
98. 48214 37.2% 18.2% (+19.0)#98 16.9% (+20.3)#3,696
99. 48208 37.2% 18.2% (+19.0)#99 16.9% (+20.3)#3,704
100. 48206 36.9% 18.2% (+18.6)#100 16.9% (+19.9)#3,772

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Michigan?
Top 10 Zip Codes with the Highest Poverty Level Among Children Under the Age of 16 in Michigan are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
93.3%
#5
86.2%
#6
84.6%
#7
83.3%
#8
80.6%
#9
72.2%
#10
71.9%
What zip code has the Highest Poverty Level Among Children Under the Age of 16 in Michigan?
48502 has the Highest Poverty Level Among Children Under the Age of 16 in Michigan with 100.0%.
What is the Poverty Level Among Children Under the Age of 16 in the State of Michigan?
Poverty Level Among Children Under the Age of 16 in Michigan is 18.2%.
What is the Poverty Level Among Children Under the Age of 16 in the United States?
Poverty Level Among Children Under the Age of 16 in the United States is 16.9%.