Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Alabama

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Lowest Birth Rate | In Labor Force
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 Lowest Births per 1,000 Women in Labor Force in Alabama

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Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Alabama Map

Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Alabama

Zip Code Births / 1,000 Women vs State vs National
1. 35214 3.0 49.0 (-46.0)#1 48.0 (-45.0)#40
2. 35951 3.0 49.0 (-46.0)#2 48.0 (-45.0)#46
3. 36587 3.0 49.0 (-46.0)#3 48.0 (-45.0)#47
4. 35452 3.0 49.0 (-46.0)#4 48.0 (-45.0)#74
5. 35648 3.0 49.0 (-46.0)#5 48.0 (-45.0)#80
6. 35127 4.0 49.0 (-45.0)#6 48.0 (-44.0)#105
7. 36474 4.0 49.0 (-45.0)#7 48.0 (-44.0)#153
8. 35744 5.0 49.0 (-44.0)#8 48.0 (-43.0)#221
9. 36542 6.0 49.0 (-43.0)#9 48.0 (-42.0)#244
10. 35045 6.0 49.0 (-43.0)#10 48.0 (-42.0)#246
11. 35114 7.0 49.0 (-42.0)#11 48.0 (-41.0)#339
12. 35046 7.0 49.0 (-42.0)#12 48.0 (-41.0)#359
13. 36278 7.0 49.0 (-42.0)#13 48.0 (-41.0)#366
14. 36033 7.0 49.0 (-42.0)#14 48.0 (-41.0)#369
15. 36521 8.0 49.0 (-41.0)#15 48.0 (-40.0)#462
16. 36317 8.0 49.0 (-41.0)#16 48.0 (-40.0)#545
17. 36545 9.0 49.0 (-40.0)#17 48.0 (-39.0)#586
18. 36441 9.0 49.0 (-40.0)#18 48.0 (-39.0)#617
19. 36832 10.0 49.0 (-39.0)#19 48.0 (-38.0)#678
20. 36081 10.0 49.0 (-39.0)#20 48.0 (-38.0)#697
21. 35620 10.0 49.0 (-39.0)#21 48.0 (-38.0)#711
22. 35079 10.0 49.0 (-39.0)#22 48.0 (-38.0)#720
23. 36049 10.0 49.0 (-39.0)#23 48.0 (-38.0)#750
24. 36576 10.0 49.0 (-39.0)#24 48.0 (-38.0)#761
25. 36567 11.0 49.0 (-38.0)#25 48.0 (-37.0)#857
26. 36250 11.0 49.0 (-38.0)#26 48.0 (-37.0)#916
27. 35763 12.0 49.0 (-37.0)#27 48.0 (-36.0)#1,013
28. 35570 12.0 49.0 (-37.0)#28 48.0 (-36.0)#1,038
29. 35034 12.0 49.0 (-37.0)#29 48.0 (-36.0)#1,079
30. 35633 13.0 49.0 (-36.0)#30 48.0 (-35.0)#1,182
31. 35205 13.0 49.0 (-36.0)#31 48.0 (-35.0)#1,186
32. 35905 13.0 49.0 (-36.0)#32 48.0 (-35.0)#1,242
33. 36352 13.0 49.0 (-36.0)#33 48.0 (-35.0)#1,251
34. 35116 13.0 49.0 (-36.0)#34 48.0 (-35.0)#1,255
35. 35578 13.0 49.0 (-36.0)#35 48.0 (-35.0)#1,259
36. 36544 14.0 49.0 (-35.0)#36 48.0 (-34.0)#1,391
37. 35754 14.0 49.0 (-35.0)#37 48.0 (-34.0)#1,431
38. 36251 14.0 49.0 (-35.0)#38 48.0 (-34.0)#1,435
39. 35776 14.0 49.0 (-35.0)#39 48.0 (-34.0)#1,454
40. 36575 15.0 49.0 (-34.0)#40 48.0 (-33.0)#1,554
41. 35773 15.0 49.0 (-34.0)#41 48.0 (-33.0)#1,576
42. 36264 15.0 49.0 (-34.0)#42 48.0 (-33.0)#1,604
43. 36322 15.0 49.0 (-34.0)#43 48.0 (-33.0)#1,605
44. 35550 15.0 49.0 (-34.0)#44 48.0 (-33.0)#1,631
45. 35592 16.0 49.0 (-33.0)#45 48.0 (-32.0)#1,839
46. 36925 16.0 49.0 (-33.0)#46 48.0 (-32.0)#1,862
47. 36256 16.0 49.0 (-33.0)#47 48.0 (-32.0)#1,888
48. 35211 17.0 49.0 (-32.0)#48 48.0 (-31.0)#1,949
49. 35184 17.0 49.0 (-32.0)#49 48.0 (-31.0)#2,013
50. 36344 17.0 49.0 (-32.0)#50 48.0 (-31.0)#2,018
51. 36260 17.0 49.0 (-32.0)#51 48.0 (-31.0)#2,023
52. 35544 17.0 49.0 (-32.0)#52 48.0 (-31.0)#2,096
53. 35503 18.0 49.0 (-31.0)#53 48.0 (-30.0)#2,190
54. 36572 19.0 49.0 (-30.0)#54 48.0 (-29.0)#2,429
55. 35983 19.0 49.0 (-30.0)#55 48.0 (-29.0)#2,467
56. 36025 20.0 49.0 (-29.0)#56 48.0 (-28.0)#2,671
57. 35968 20.0 49.0 (-29.0)#57 48.0 (-28.0)#2,698
58. 35083 20.0 49.0 (-29.0)#58 48.0 (-28.0)#2,709
59. 36043 20.0 49.0 (-29.0)#59 48.0 (-28.0)#2,711
60. 35203 20.0 49.0 (-29.0)#60 48.0 (-28.0)#2,721
61. 36523 20.0 49.0 (-29.0)#61 48.0 (-28.0)#2,722
62. 35758 21.0 49.0 (-28.0)#62 48.0 (-27.0)#2,808
63. 35180 21.0 49.0 (-28.0)#63 48.0 (-27.0)#2,887
64. 35188 21.0 49.0 (-28.0)#64 48.0 (-27.0)#2,991
65. 36525 21.0 49.0 (-28.0)#65 48.0 (-27.0)#3,005
66. 35111 22.0 49.0 (-27.0)#66 48.0 (-26.0)#3,120
67. 36870 22.0 49.0 (-27.0)#67 48.0 (-26.0)#3,123
68. 35906 22.0 49.0 (-27.0)#68 48.0 (-26.0)#3,161
69. 36726 22.0 49.0 (-27.0)#69 48.0 (-26.0)#3,208
70. 36319 22.0 49.0 (-27.0)#70 48.0 (-26.0)#3,241
71. 36475 22.0 49.0 (-27.0)#71 48.0 (-26.0)#3,247
72. 36314 22.0 49.0 (-27.0)#72 48.0 (-26.0)#3,301
73. 35640 23.0 49.0 (-26.0)#73 48.0 (-25.0)#3,350
74. 36527 23.0 49.0 (-26.0)#74 48.0 (-25.0)#3,380
75. 35077 23.0 49.0 (-26.0)#75 48.0 (-25.0)#3,405
76. 35768 23.0 49.0 (-26.0)#76 48.0 (-25.0)#3,412
77. 35476 23.0 49.0 (-26.0)#77 48.0 (-25.0)#3,428
78. 35470 23.0 49.0 (-26.0)#78 48.0 (-25.0)#3,467
79. 36351 23.0 49.0 (-26.0)#79 48.0 (-25.0)#3,486
80. 35006 23.0 49.0 (-26.0)#80 48.0 (-25.0)#3,494
81. 35540 23.0 49.0 (-26.0)#81 48.0 (-25.0)#3,513
82. 36046 23.0 49.0 (-26.0)#82 48.0 (-25.0)#3,533
83. 35243 24.0 49.0 (-25.0)#83 48.0 (-24.0)#3,658
84. 36206 24.0 49.0 (-25.0)#84 48.0 (-24.0)#3,696
85. 35654 24.0 49.0 (-25.0)#85 48.0 (-24.0)#3,718
86. 36732 24.0 49.0 (-25.0)#86 48.0 (-24.0)#3,722
87. 35475 25.0 49.0 (-24.0)#87 48.0 (-23.0)#3,949
88. 36376 25.0 49.0 (-24.0)#88 48.0 (-23.0)#4,081
89. 35593 25.0 49.0 (-24.0)#89 48.0 (-23.0)#4,095
90. 36318 25.0 49.0 (-24.0)#90 48.0 (-23.0)#4,104
91. 35124 26.0 49.0 (-23.0)#91 48.0 (-22.0)#4,204
92. 36693 26.0 49.0 (-23.0)#92 48.0 (-22.0)#4,220
93. 35228 26.0 49.0 (-23.0)#93 48.0 (-22.0)#4,266
94. 35062 26.0 49.0 (-23.0)#94 48.0 (-22.0)#4,278
95. 35582 26.0 49.0 (-23.0)#95 48.0 (-22.0)#4,330
96. 35979 26.0 49.0 (-23.0)#96 48.0 (-22.0)#4,421
97. 36830 27.0 49.0 (-22.0)#97 48.0 (-21.0)#4,456
98. 36532 27.0 49.0 (-22.0)#98 48.0 (-21.0)#4,479
99. 36502 27.0 49.0 (-22.0)#99 48.0 (-21.0)#4,550
100. 35057 27.0 49.0 (-22.0)#100 48.0 (-21.0)#4,558

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Alabama?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Alabama are:
#1
3.0
#2
3.0
#3
3.0
#4
3.0
#5
3.0
#6
4.0
#7
4.0
#8
5.0
#9
6.0
#10
6.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Alabama?
35214 has the Lowest Births per 1,000 Women in Labor Force in Alabama with 3.0.
What is the Number Births per 1,000 Women in Labor Force in the State of Alabama?
Number Births per 1,000 Women in Labor Force in Alabama is 49.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.