Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Alabama

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Highest Birth Rate | Below Poverty
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 Most Births per 1,000 Women Below Poverty Level in Alabama

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Alabama Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Alabama

Zip Code Births / 1,000 Women vs State vs National
1. 36511 1,000.0 52.0 (+948)#1 53.0 (+947)#4
2. 36790 733.0 52.0 (+681)#2 53.0 (+680)#80
3. 35070 500.0 52.0 (+448)#3 53.0 (+447)#173
4. 36773 493.0 52.0 (+441)#4 53.0 (+440)#181
5. 36513 464.0 52.0 (+412)#5 53.0 (+411)#202
6. 36052 333.0 52.0 (+281)#6 53.0 (+280)#366
7. 36767 328.0 52.0 (+276)#7 53.0 (+275)#391
8. 36736 321.0 52.0 (+269)#8 53.0 (+268)#401
9. 36754 303.0 52.0 (+251)#9 53.0 (+250)#446
10. 36858 270.0 52.0 (+218)#10 53.0 (+217)#563
11. 35042 265.0 52.0 (+213)#11 53.0 (+212)#584
12. 36267 247.0 52.0 (+195)#12 53.0 (+194)#683
13. 35649 231.0 52.0 (+179)#13 53.0 (+178)#770
14. 35032 200.0 52.0 (+148)#14 53.0 (+147)#994
15. 36474 188.0 52.0 (+136)#15 53.0 (+135)#1,115
16. 35771 172.0 52.0 (+120)#16 53.0 (+119)#1,330
17. 35618 168.0 52.0 (+116)#17 53.0 (+115)#1,401
18. 36578 168.0 52.0 (+116)#18 53.0 (+115)#1,406
19. 36439 167.0 52.0 (+115)#19 53.0 (+114)#1,455
20. 35989 165.0 52.0 (+113)#20 53.0 (+112)#1,468
21. 35089 158.0 52.0 (+106)#21 53.0 (+105)#1,595
22. 36024 157.0 52.0 (+105)#22 53.0 (+104)#1,610
23. 36749 156.0 52.0 (+104)#23 53.0 (+103)#1,639
24. 35580 153.0 52.0 (+101)#24 53.0 (+100.0)#1,682
25. 36425 152.0 52.0 (+100.0)#25 53.0 (+99.0)#1,713
26. 36879 151.0 52.0 (+99.0)#26 53.0 (+98.0)#1,725
27. 36775 151.0 52.0 (+99.0)#27 53.0 (+98.0)#1,734
28. 36005 149.0 52.0 (+97.0)#28 53.0 (+96.0)#1,771
29. 35442 148.0 52.0 (+96.0)#29 53.0 (+95.0)#1,782
30. 35574 148.0 52.0 (+96.0)#30 53.0 (+95.0)#1,791
31. 36481 145.0 52.0 (+93.0)#31 53.0 (+92.0)#1,878
32. 35183 142.0 52.0 (+90.0)#32 53.0 (+89.0)#1,957
33. 35647 140.0 52.0 (+88.0)#33 53.0 (+87.0)#1,997
34. 35473 139.0 52.0 (+87.0)#34 53.0 (+86.0)#2,012
35. 35984 139.0 52.0 (+87.0)#35 53.0 (+86.0)#2,034
36. 35172 133.0 52.0 (+81.0)#36 53.0 (+80.0)#2,225
37. 35063 130.0 52.0 (+78.0)#37 53.0 (+77.0)#2,311
38. 35587 129.0 52.0 (+77.0)#38 53.0 (+76.0)#2,381
39. 35610 128.0 52.0 (+76.0)#39 53.0 (+75.0)#2,403
40. 35543 128.0 52.0 (+76.0)#40 53.0 (+75.0)#2,409
41. 35670 125.0 52.0 (+73.0)#41 53.0 (+72.0)#2,510
42. 35748 125.0 52.0 (+73.0)#42 53.0 (+72.0)#2,511
43. 35959 125.0 52.0 (+73.0)#43 53.0 (+72.0)#2,515
44. 35766 125.0 52.0 (+73.0)#44 53.0 (+72.0)#2,542
45. 35118 124.0 52.0 (+72.0)#45 53.0 (+71.0)#2,569
46. 36919 124.0 52.0 (+72.0)#46 53.0 (+71.0)#2,579
47. 36115 124.0 52.0 (+72.0)#47 53.0 (+71.0)#2,587
48. 35652 122.0 52.0 (+70.0)#48 53.0 (+69.0)#2,649
49. 36262 122.0 52.0 (+70.0)#49 53.0 (+69.0)#2,669
50. 35973 121.0 52.0 (+69.0)#50 53.0 (+68.0)#2,701
51. 35207 120.0 52.0 (+68.0)#51 53.0 (+67.0)#2,737
52. 35212 114.0 52.0 (+62.0)#52 53.0 (+61.0)#3,022
53. 36904 114.0 52.0 (+62.0)#53 53.0 (+61.0)#3,036
54. 35953 113.0 52.0 (+61.0)#54 53.0 (+60.0)#3,079
55. 36854 112.0 52.0 (+60.0)#55 53.0 (+59.0)#3,122
56. 36477 112.0 52.0 (+60.0)#56 53.0 (+59.0)#3,140
57. 36768 111.0 52.0 (+59.0)#57 53.0 (+58.0)#3,214
58. 36605 110.0 52.0 (+58.0)#58 53.0 (+57.0)#3,245
59. 36856 108.0 52.0 (+56.0)#59 53.0 (+55.0)#3,378
60. 36108 105.0 52.0 (+53.0)#60 53.0 (+52.0)#3,574
61. 36362 104.0 52.0 (+52.0)#61 53.0 (+51.0)#3,659
62. 35447 104.0 52.0 (+52.0)#62 53.0 (+51.0)#3,668
63. 36075 104.0 52.0 (+52.0)#63 53.0 (+51.0)#3,682
64. 35958 102.0 52.0 (+50.0)#64 53.0 (+49.0)#3,820
65. 36782 102.0 52.0 (+50.0)#65 53.0 (+49.0)#3,832
66. 36272 101.0 52.0 (+49.0)#66 53.0 (+48.0)#3,876
67. 35952 100.0 52.0 (+48.0)#67 53.0 (+47.0)#3,937
68. 35986 100.0 52.0 (+48.0)#68 53.0 (+47.0)#3,938
69. 35087 100.0 52.0 (+48.0)#69 53.0 (+47.0)#3,961
70. 36009 100.0 52.0 (+48.0)#70 53.0 (+47.0)#3,969
71. 35772 99.0 52.0 (+47.0)#71 53.0 (+46.0)#4,048
72. 35619 99.0 52.0 (+47.0)#72 53.0 (+46.0)#4,049
73. 36863 98.0 52.0 (+46.0)#73 53.0 (+45.0)#4,111
74. 35978 98.0 52.0 (+46.0)#74 53.0 (+45.0)#4,126
75. 36539 98.0 52.0 (+46.0)#75 53.0 (+45.0)#4,172
76. 36280 97.0 52.0 (+45.0)#76 53.0 (+44.0)#4,221
77. 35563 97.0 52.0 (+45.0)#77 53.0 (+44.0)#4,225
78. 35133 97.0 52.0 (+45.0)#78 53.0 (+44.0)#4,237
79. 36345 95.0 52.0 (+43.0)#79 53.0 (+42.0)#4,397
80. 35956 95.0 52.0 (+43.0)#80 53.0 (+42.0)#4,400
81. 36107 95.0 52.0 (+43.0)#81 53.0 (+42.0)#4,403
82. 36613 94.0 52.0 (+42.0)#82 53.0 (+41.0)#4,494
83. 35453 94.0 52.0 (+42.0)#83 53.0 (+41.0)#4,495
84. 35213 92.0 52.0 (+40.0)#84 53.0 (+39.0)#4,662
85. 36017 92.0 52.0 (+40.0)#85 53.0 (+39.0)#4,699
86. 35120 91.0 52.0 (+39.0)#86 53.0 (+38.0)#4,759
87. 35160 90.0 52.0 (+38.0)#87 53.0 (+37.0)#4,860
88. 35235 90.0 52.0 (+38.0)#88 53.0 (+37.0)#4,874
89. 35980 89.0 52.0 (+37.0)#89 53.0 (+36.0)#4,992
90. 36442 89.0 52.0 (+37.0)#90 53.0 (+36.0)#5,006
91. 36606 87.0 52.0 (+35.0)#91 53.0 (+34.0)#5,201
92. 36323 87.0 52.0 (+35.0)#92 53.0 (+34.0)#5,227
93. 35540 87.0 52.0 (+35.0)#93 53.0 (+34.0)#5,263
94. 35147 86.0 52.0 (+34.0)#94 53.0 (+33.0)#5,353
95. 35150 85.0 52.0 (+33.0)#95 53.0 (+32.0)#5,445
96. 35444 85.0 52.0 (+33.0)#96 53.0 (+32.0)#5,493
97. 35115 84.0 52.0 (+32.0)#97 53.0 (+31.0)#5,583
98. 36054 84.0 52.0 (+32.0)#98 53.0 (+31.0)#5,590
99. 36522 84.0 52.0 (+32.0)#99 53.0 (+31.0)#5,613
100. 35244 83.0 52.0 (+31.0)#100 53.0 (+30.0)#5,687

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Alabama?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Alabama are:
#1
1,000.0
#2
733.0
#3
500.0
#4
493.0
#5
464.0
#6
333.0
#7
328.0
#8
321.0
#9
303.0
#10
270.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Alabama?
36511 has the Most Births per 1,000 Women Below Poverty Level in Alabama with 1,000.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Alabama?
Number of Births per 1,000 Women Below Poverty Level in Alabama is 52.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.