Zip Codes with the Highest Female Poverty Level in Alabama

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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
Alabama
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Female Poverty Level in Alabama

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

Zip Codes with the Highest Female Poverty Level in Alabama

Zip Code Female Poverty vs State vs National
1. 36688 100.0% 17.4% (+82.6)#1 13.7% (+86.3)#12
2. 35477 100.0% 17.4% (+82.6)#2 13.7% (+86.3)#42
3. 36910 100.0% 17.4% (+82.6)#3 13.7% (+86.3)#92
4. 35577 100.0% 17.4% (+82.6)#4 13.7% (+86.3)#104
5. 36476 67.7% 17.4% (+50.3)#5 13.7% (+54.0)#264
6. 36038 66.7% 17.4% (+49.3)#6 13.7% (+53.0)#280
7. 35464 60.6% 17.4% (+43.2)#7 13.7% (+46.9)#369
8. 36767 60.3% 17.4% (+42.9)#8 13.7% (+46.6)#374
9. 35469 60.0% 17.4% (+42.6)#9 13.7% (+46.3)#377
10. 36728 58.5% 17.4% (+41.1)#10 13.7% (+44.8)#407
11. 36612 54.0% 17.4% (+36.6)#11 13.7% (+40.3)#527
12. 35052 50.0% 17.4% (+32.6)#12 13.7% (+36.3)#655
13. 36663 50.0% 17.4% (+32.6)#13 13.7% (+36.3)#657
14. 35032 50.0% 17.4% (+32.6)#14 13.7% (+36.3)#663
15. 36032 46.3% 17.4% (+28.9)#15 13.7% (+32.6)#816
16. 36104 45.9% 17.4% (+28.5)#16 13.7% (+32.2)#841
17. 36088 45.1% 17.4% (+27.7)#17 13.7% (+31.4)#892
18. 35207 44.6% 17.4% (+27.2)#18 13.7% (+30.9)#924
19. 36584 44.0% 17.4% (+26.6)#19 13.7% (+30.3)#956
20. 35212 43.5% 17.4% (+26.1)#20 13.7% (+29.8)#985
21. 36786 43.4% 17.4% (+26.0)#21 13.7% (+29.7)#995
22. 36107 43.1% 17.4% (+25.7)#22 13.7% (+29.4)#1,017
23. 36263 42.9% 17.4% (+25.5)#23 13.7% (+29.2)#1,029
24. 35755 42.8% 17.4% (+25.4)#24 13.7% (+29.1)#1,039
25. 36017 42.6% 17.4% (+25.2)#25 13.7% (+28.9)#1,051
26. 36610 42.3% 17.4% (+24.9)#26 13.7% (+28.6)#1,065
27. 36749 41.9% 17.4% (+24.5)#27 13.7% (+28.2)#1,098
28. 36602 41.5% 17.4% (+24.1)#28 13.7% (+27.8)#1,121
29. 35211 41.2% 17.4% (+23.8)#29 13.7% (+27.5)#1,148
30. 35442 41.1% 17.4% (+23.7)#30 13.7% (+27.4)#1,154
31. 36471 40.9% 17.4% (+23.5)#31 13.7% (+27.2)#1,168
32. 36776 40.7% 17.4% (+23.3)#32 13.7% (+27.0)#1,191
33. 36754 40.7% 17.4% (+23.3)#33 13.7% (+27.0)#1,193
34. 36703 40.5% 17.4% (+23.1)#34 13.7% (+26.8)#1,205
35. 35805 40.0% 17.4% (+22.6)#35 13.7% (+26.3)#1,236
36. 35401 39.9% 17.4% (+22.5)#36 13.7% (+26.2)#1,249
37. 36089 39.8% 17.4% (+22.4)#37 13.7% (+26.1)#1,265
38. 36048 39.4% 17.4% (+22.0)#38 13.7% (+25.7)#1,291
39. 36756 39.3% 17.4% (+21.9)#39 13.7% (+25.6)#1,296
40. 35178 38.7% 17.4% (+21.3)#40 13.7% (+25.0)#1,361
41. 36108 38.2% 17.4% (+20.8)#41 13.7% (+24.5)#1,414
42. 35979 38.0% 17.4% (+20.6)#42 13.7% (+24.3)#1,438
43. 35203 37.8% 17.4% (+20.4)#43 13.7% (+24.1)#1,449
44. 36761 37.4% 17.4% (+20.0)#44 13.7% (+23.7)#1,491
45. 36769 37.3% 17.4% (+19.9)#45 13.7% (+23.6)#1,507
46. 36785 37.2% 17.4% (+19.8)#46 13.7% (+23.5)#1,514
47. 35234 36.6% 17.4% (+19.2)#47 13.7% (+22.9)#1,594
48. 36205 36.5% 17.4% (+19.1)#48 13.7% (+22.8)#1,598
49. 35571 36.5% 17.4% (+19.1)#49 13.7% (+22.8)#1,599
50. 35034 36.5% 17.4% (+19.1)#50 13.7% (+22.8)#1,601
51. 35462 35.6% 17.4% (+18.2)#51 13.7% (+21.9)#1,723
52. 35233 35.5% 17.4% (+18.1)#52 13.7% (+21.8)#1,743
53. 35772 34.9% 17.4% (+17.5)#53 13.7% (+21.2)#1,841
54. 35470 34.5% 17.4% (+17.1)#54 13.7% (+20.8)#1,912
55. 36913 34.5% 17.4% (+17.1)#55 13.7% (+20.8)#1,914
56. 35480 34.4% 17.4% (+17.0)#56 13.7% (+20.8)#1,920
57. 36603 34.4% 17.4% (+17.0)#57 13.7% (+20.7)#1,930
58. 35745 34.4% 17.4% (+17.0)#58 13.7% (+20.7)#1,934
59. 35020 34.2% 17.4% (+16.8)#59 13.7% (+20.5)#1,961
60. 36276 34.1% 17.4% (+16.7)#60 13.7% (+20.4)#1,969
61. 36738 33.9% 17.4% (+16.5)#61 13.7% (+20.2)#2,014
62. 35542 33.6% 17.4% (+16.2)#62 13.7% (+19.9)#2,049
63. 36744 33.4% 17.4% (+16.0)#63 13.7% (+19.7)#2,080
64. 36456 33.4% 17.4% (+16.0)#64 13.7% (+19.7)#2,085
65. 36540 33.3% 17.4% (+15.9)#65 13.7% (+19.6)#2,114
66. 36832 33.3% 17.4% (+15.9)#66 13.7% (+19.6)#2,115
67. 35206 33.1% 17.4% (+15.7)#67 13.7% (+19.4)#2,142
68. 36611 32.9% 17.4% (+15.5)#68 13.7% (+19.2)#2,177
69. 35584 32.6% 17.4% (+15.2)#69 13.7% (+18.9)#2,247
70. 35150 32.2% 17.4% (+14.8)#70 13.7% (+18.5)#2,311
71. 36036 32.1% 17.4% (+14.7)#71 13.7% (+18.4)#2,344
72. 36474 32.1% 17.4% (+14.7)#72 13.7% (+18.4)#2,348
73. 35218 32.0% 17.4% (+14.6)#73 13.7% (+18.3)#2,354
74. 36858 32.0% 17.4% (+14.6)#74 13.7% (+18.3)#2,373
75. 36605 31.7% 17.4% (+14.3)#75 13.7% (+18.0)#2,432
76. 35181 31.4% 17.4% (+14.0)#76 13.7% (+17.7)#2,468
77. 35575 31.3% 17.4% (+13.9)#77 13.7% (+17.6)#2,512
78. 35204 31.2% 17.4% (+13.8)#78 13.7% (+17.6)#2,514
79. 36311 31.2% 17.4% (+13.8)#79 13.7% (+17.6)#2,516
80. 36538 31.1% 17.4% (+13.7)#80 13.7% (+17.4)#2,540
81. 36509 30.8% 17.4% (+13.4)#81 13.7% (+17.1)#2,607
82. 35816 30.8% 17.4% (+13.4)#82 13.7% (+17.1)#2,609
83. 36425 30.5% 17.4% (+13.1)#83 13.7% (+16.8)#2,673
84. 36201 30.5% 17.4% (+13.1)#84 13.7% (+16.8)#2,674
85. 36758 30.5% 17.4% (+13.1)#85 13.7% (+16.8)#2,679
86. 36726 30.5% 17.4% (+13.1)#86 13.7% (+16.8)#2,680
87. 36915 30.4% 17.4% (+13.0)#87 13.7% (+16.7)#2,702
88. 36617 30.3% 17.4% (+12.9)#88 13.7% (+16.6)#2,726
89. 35671 30.2% 17.4% (+12.8)#89 13.7% (+16.5)#2,778
90. 35217 30.1% 17.4% (+12.7)#90 13.7% (+16.4)#2,795
91. 36759 30.0% 17.4% (+12.6)#91 13.7% (+16.3)#2,817
92. 36069 30.0% 17.4% (+12.6)#92 13.7% (+16.3)#2,822
93. 35752 29.8% 17.4% (+12.4)#93 13.7% (+16.1)#2,878
94. 35962 29.6% 17.4% (+12.2)#94 13.7% (+15.9)#2,935
95. 36040 29.4% 17.4% (+12.0)#95 13.7% (+15.7)#2,974
96. 36742 29.2% 17.4% (+11.8)#96 13.7% (+15.5)#3,020
97. 35548 29.2% 17.4% (+11.8)#97 13.7% (+15.5)#3,024
98. 36925 29.1% 17.4% (+11.7)#98 13.7% (+15.4)#3,047
99. 36907 29.1% 17.4% (+11.7)#99 13.7% (+15.4)#3,052
100. 36481 29.1% 17.4% (+11.7)#100 13.7% (+15.4)#3,054

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Alabama?
Top 10 Zip Codes with the Highest Female Poverty Level in Alabama are:
#1
100.0%
#2
100.0%
#3
100.0%
#4
100.0%
#5
67.7%
#6
66.7%
#7
60.6%
#8
60.3%
#9
60.0%
#10
58.5%
What zip code has the Highest Female Poverty Level in Alabama?
36688 has the Highest Female Poverty Level in Alabama with 100.0%.
What is the Poverty Level Among Females in the State of Alabama?
Poverty Level Among Females in Alabama is 17.4%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.