Zip Codes with the Highest Female Poverty Level in Michigan

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Highest Poverty | Female
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 Female Poverty Level in Michigan

20.0%
100.0%
Zip Codes with the Highest Female Poverty Level in Michigan Map

Zip Codes with the Highest Female Poverty Level in Michigan

Zip Code Female Poverty vs State vs National
1. 49258 100.0% 14.3% (+85.7)#1 13.7% (+86.3)#97
2. 48109 97.6% 14.3% (+83.3)#2 13.7% (+83.9)#110
3. 48724 89.6% 14.3% (+75.3)#3 13.7% (+75.9)#126
4. 49075 60.0% 14.3% (+45.7)#4 13.7% (+46.3)#378
5. 48859 58.8% 14.3% (+44.5)#5 13.7% (+45.1)#402
6. 49642 57.7% 14.3% (+43.4)#6 13.7% (+44.0)#427
7. 49820 52.1% 14.3% (+37.8)#7 13.7% (+38.4)#577
8. 48896 51.1% 14.3% (+36.8)#8 13.7% (+37.4)#616
9. 49084 50.0% 14.3% (+35.7)#9 13.7% (+36.3)#665
10. 49960 48.3% 14.3% (+34.0)#10 13.7% (+34.6)#734
11. 48201 45.6% 14.3% (+31.3)#11 13.7% (+31.9)#867
12. 48218 45.0% 14.3% (+30.7)#12 13.7% (+31.3)#899
13. 48211 44.7% 14.3% (+30.4)#13 13.7% (+31.0)#919
14. 48933 43.0% 14.3% (+28.7)#14 13.7% (+29.3)#1,025
15. 49667 42.3% 14.3% (+28.0)#15 13.7% (+28.6)#1,070
16. 48215 41.9% 14.3% (+27.7)#16 13.7% (+28.2)#1,096
17. 49312 41.7% 14.3% (+27.4)#17 13.7% (+28.0)#1,115
18. 49007 41.0% 14.3% (+26.7)#18 13.7% (+27.3)#1,155
19. 48104 41.0% 14.3% (+26.7)#19 13.7% (+27.3)#1,159
20. 48505 40.2% 14.3% (+25.9)#20 13.7% (+26.5)#1,225
21. 48208 39.9% 14.3% (+25.6)#21 13.7% (+26.2)#1,253
22. 48210 39.7% 14.3% (+25.4)#22 13.7% (+26.0)#1,270
23. 48238 39.3% 14.3% (+25.0)#23 13.7% (+25.6)#1,297
24. 49022 39.3% 14.3% (+25.0)#24 13.7% (+25.6)#1,305
25. 48228 39.2% 14.3% (+24.9)#25 13.7% (+25.5)#1,320
26. 49006 38.7% 14.3% (+24.4)#26 13.7% (+25.0)#1,355
27. 48209 38.5% 14.3% (+24.2)#27 13.7% (+24.8)#1,389
28. 49903 38.3% 14.3% (+24.0)#28 13.7% (+24.6)#1,405
29. 48212 38.2% 14.3% (+23.9)#29 13.7% (+24.5)#1,418
30. 49910 37.4% 14.3% (+23.1)#30 13.7% (+23.7)#1,497
31. 48213 37.3% 14.3% (+23.0)#31 13.7% (+23.6)#1,508
32. 48204 37.2% 14.3% (+22.9)#32 13.7% (+23.5)#1,520
33. 48203 36.9% 14.3% (+22.6)#33 13.7% (+23.2)#1,550
34. 49255 36.6% 14.3% (+22.3)#34 13.7% (+22.9)#1,591
35. 48853 36.3% 14.3% (+22.1)#35 13.7% (+22.6)#1,620
36. 48141 36.3% 14.3% (+22.0)#36 13.7% (+22.6)#1,621
37. 49718 36.2% 14.3% (+22.0)#37 13.7% (+22.5)#1,637
38. 48529 35.9% 14.3% (+21.6)#38 13.7% (+22.2)#1,683
39. 48870 35.6% 14.3% (+21.4)#39 13.7% (+21.9)#1,720
40. 48342 35.4% 14.3% (+21.1)#40 13.7% (+21.7)#1,753
41. 48502 35.3% 14.3% (+21.0)#41 13.7% (+21.6)#1,790
42. 48234 35.2% 14.3% (+20.9)#42 13.7% (+21.5)#1,796
43. 48227 35.0% 14.3% (+20.7)#43 13.7% (+21.3)#1,813
44. 49289 35.0% 14.3% (+20.7)#44 13.7% (+21.3)#1,819
45. 48126 35.0% 14.3% (+20.7)#45 13.7% (+21.3)#1,825
46. 49788 34.9% 14.3% (+20.6)#46 13.7% (+21.2)#1,834
47. 48426 34.4% 14.3% (+20.1)#47 13.7% (+20.7)#1,924
48. 48601 34.4% 14.3% (+20.1)#48 13.7% (+20.7)#1,932
49. 48224 34.3% 14.3% (+20.0)#49 13.7% (+20.6)#1,951
50. 49043 33.9% 14.3% (+19.6)#50 13.7% (+20.2)#2,010
51. 49808 33.5% 14.3% (+19.3)#51 13.7% (+19.8)#2,065
52. 49440 33.5% 14.3% (+19.2)#52 13.7% (+19.8)#2,076
53. 48737 33.4% 14.3% (+19.1)#53 13.7% (+19.7)#2,084
54. 48743 33.3% 14.3% (+19.0)#54 13.7% (+19.6)#2,104
55. 48202 33.3% 14.3% (+19.0)#55 13.7% (+19.6)#2,112
56. 49238 33.2% 14.3% (+18.9)#56 13.7% (+19.5)#2,127
57. 48122 33.0% 14.3% (+18.7)#57 13.7% (+19.3)#2,158
58. 48120 32.4% 14.3% (+18.1)#58 13.7% (+18.7)#2,279
59. 49401 32.3% 14.3% (+18.0)#59 13.7% (+18.6)#2,290
60. 48858 31.7% 14.3% (+17.4)#60 13.7% (+18.0)#2,421
61. 49902 31.6% 14.3% (+17.3)#61 13.7% (+17.9)#2,436
62. 48214 31.3% 14.3% (+17.0)#62 13.7% (+17.6)#2,489
63. 48503 31.3% 14.3% (+17.0)#63 13.7% (+17.6)#2,495
64. 48602 30.3% 14.3% (+16.0)#64 13.7% (+16.6)#2,738
65. 49958 29.9% 14.3% (+15.6)#65 13.7% (+16.2)#2,865
66. 48504 29.8% 14.3% (+15.5)#66 13.7% (+16.1)#2,880
67. 49450 29.7% 14.3% (+15.5)#67 13.7% (+16.0)#2,896
68. 48207 29.5% 14.3% (+15.2)#68 13.7% (+15.8)#2,944
69. 48823 29.3% 14.3% (+15.0)#69 13.7% (+15.6)#3,005
70. 48206 29.2% 14.3% (+14.9)#70 13.7% (+15.5)#3,026
71. 49066 29.1% 14.3% (+14.8)#71 13.7% (+15.4)#3,057
72. 48604 28.8% 14.3% (+14.5)#72 13.7% (+15.1)#3,150
73. 49261 28.7% 14.3% (+14.5)#73 13.7% (+15.1)#3,157
74. 48235 28.7% 14.3% (+14.5)#74 13.7% (+15.0)#3,160
75. 49507 28.4% 14.3% (+14.1)#75 13.7% (+14.7)#3,239
76. 48434 28.4% 14.3% (+14.1)#76 13.7% (+14.7)#3,265
77. 48852 27.8% 14.3% (+13.6)#77 13.7% (+14.1)#3,419
78. 48756 27.5% 14.3% (+13.2)#78 13.7% (+13.8)#3,520
79. 48219 27.4% 14.3% (+13.1)#79 13.7% (+13.7)#3,541
80. 48205 27.3% 14.3% (+13.0)#80 13.7% (+13.6)#3,585
81. 48157 27.3% 14.3% (+13.0)#81 13.7% (+13.6)#3,607
82. 49645 27.0% 14.3% (+12.8)#82 13.7% (+13.3)#3,693
83. 48766 27.0% 14.3% (+12.7)#83 13.7% (+13.3)#3,715
84. 49037 26.9% 14.3% (+12.6)#84 13.7% (+13.2)#3,745
85. 48229 26.8% 14.3% (+12.6)#85 13.7% (+13.1)#3,758
86. 49627 26.6% 14.3% (+12.3)#86 13.7% (+12.9)#3,826
87. 48625 26.6% 14.3% (+12.3)#87 13.7% (+12.9)#3,829
88. 48651 26.4% 14.3% (+12.1)#88 13.7% (+12.7)#3,918
89. 48340 26.3% 14.3% (+12.0)#89 13.7% (+12.6)#3,970
90. 49274 26.1% 14.3% (+11.8)#90 13.7% (+12.4)#4,028
91. 48506 26.0% 14.3% (+11.8)#91 13.7% (+12.3)#4,055
92. 49232 26.0% 14.3% (+11.7)#92 13.7% (+12.3)#4,071
93. 48450 25.9% 14.3% (+11.6)#93 13.7% (+12.2)#4,092
94. 48708 25.4% 14.3% (+11.1)#94 13.7% (+11.7)#4,307
95. 49743 25.3% 14.3% (+11.0)#95 13.7% (+11.6)#4,335
96. 48507 25.3% 14.3% (+11.0)#96 13.7% (+11.6)#4,345
97. 49503 25.3% 14.3% (+11.0)#97 13.7% (+11.6)#4,358
98. 48622 25.2% 14.3% (+10.9)#98 13.7% (+11.5)#4,375
99. 49638 25.2% 14.3% (+10.9)#99 13.7% (+11.5)#4,406
100. 48125 24.8% 14.3% (+10.5)#100 13.7% (+11.1)#4,574

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Michigan?
Top 10 Zip Codes with the Highest Female Poverty Level in Michigan are:
#1
100.0%
#2
97.6%
#3
89.6%
#4
60.0%
#5
58.8%
#6
57.7%
#7
52.1%
#8
51.1%
#9
50.0%
#10
48.3%
What zip code has the Highest Female Poverty Level in Michigan?
49258 has the Highest Female Poverty Level in Michigan with 100.0%.
What is the Poverty Level Among Females in the State of Michigan?
Poverty Level Among Females in Michigan is 14.3%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.