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
1.352143.049.0(-46.0)#148.0(-45.0)#40
2.359513.049.0(-46.0)#248.0(-45.0)#46
3.365873.049.0(-46.0)#348.0(-45.0)#47
4.354523.049.0(-46.0)#448.0(-45.0)#74
5.356483.049.0(-46.0)#548.0(-45.0)#80
6.351274.049.0(-45.0)#648.0(-44.0)#105
7.364744.049.0(-45.0)#748.0(-44.0)#153
8.357445.049.0(-44.0)#848.0(-43.0)#221
9.365426.049.0(-43.0)#948.0(-42.0)#244
10.350456.049.0(-43.0)#1048.0(-42.0)#246
11.351147.049.0(-42.0)#1148.0(-41.0)#339
12.350467.049.0(-42.0)#1248.0(-41.0)#359
13.362787.049.0(-42.0)#1348.0(-41.0)#366
14.360337.049.0(-42.0)#1448.0(-41.0)#369
15.365218.049.0(-41.0)#1548.0(-40.0)#462
16.363178.049.0(-41.0)#1648.0(-40.0)#545
17.365459.049.0(-40.0)#1748.0(-39.0)#586
18.364419.049.0(-40.0)#1848.0(-39.0)#617
19.3683210.049.0(-39.0)#1948.0(-38.0)#678
20.3608110.049.0(-39.0)#2048.0(-38.0)#697
21.3562010.049.0(-39.0)#2148.0(-38.0)#711
22.3507910.049.0(-39.0)#2248.0(-38.0)#720
23.3604910.049.0(-39.0)#2348.0(-38.0)#750
24.3657610.049.0(-39.0)#2448.0(-38.0)#761
25.3656711.049.0(-38.0)#2548.0(-37.0)#857
26.3625011.049.0(-38.0)#2648.0(-37.0)#916
27.3576312.049.0(-37.0)#2748.0(-36.0)#1,013
28.3557012.049.0(-37.0)#2848.0(-36.0)#1,038
29.3503412.049.0(-37.0)#2948.0(-36.0)#1,079
30.3563313.049.0(-36.0)#3048.0(-35.0)#1,182
31.3520513.049.0(-36.0)#3148.0(-35.0)#1,186
32.3590513.049.0(-36.0)#3248.0(-35.0)#1,242
33.3635213.049.0(-36.0)#3348.0(-35.0)#1,251
34.3511613.049.0(-36.0)#3448.0(-35.0)#1,255
35.3557813.049.0(-36.0)#3548.0(-35.0)#1,259
36.3654414.049.0(-35.0)#3648.0(-34.0)#1,391
37.3575414.049.0(-35.0)#3748.0(-34.0)#1,431
38.3625114.049.0(-35.0)#3848.0(-34.0)#1,435
39.3577614.049.0(-35.0)#3948.0(-34.0)#1,454
40.3657515.049.0(-34.0)#4048.0(-33.0)#1,554
41.3577315.049.0(-34.0)#4148.0(-33.0)#1,576
42.3626415.049.0(-34.0)#4248.0(-33.0)#1,604
43.3632215.049.0(-34.0)#4348.0(-33.0)#1,605
44.3555015.049.0(-34.0)#4448.0(-33.0)#1,631
45.3559216.049.0(-33.0)#4548.0(-32.0)#1,839
46.3692516.049.0(-33.0)#4648.0(-32.0)#1,862
47.3625616.049.0(-33.0)#4748.0(-32.0)#1,888
48.3521117.049.0(-32.0)#4848.0(-31.0)#1,949
49.3518417.049.0(-32.0)#4948.0(-31.0)#2,013
50.3634417.049.0(-32.0)#5048.0(-31.0)#2,018
51.3626017.049.0(-32.0)#5148.0(-31.0)#2,023
52.3554417.049.0(-32.0)#5248.0(-31.0)#2,096
53.3550318.049.0(-31.0)#5348.0(-30.0)#2,190
54.3657219.049.0(-30.0)#5448.0(-29.0)#2,429
55.3598319.049.0(-30.0)#5548.0(-29.0)#2,467
56.3602520.049.0(-29.0)#5648.0(-28.0)#2,671
57.3596820.049.0(-29.0)#5748.0(-28.0)#2,698
58.3508320.049.0(-29.0)#5848.0(-28.0)#2,709
59.3604320.049.0(-29.0)#5948.0(-28.0)#2,711
60.3520320.049.0(-29.0)#6048.0(-28.0)#2,721
61.3652320.049.0(-29.0)#6148.0(-28.0)#2,722
62.3575821.049.0(-28.0)#6248.0(-27.0)#2,808
63.3518021.049.0(-28.0)#6348.0(-27.0)#2,887
64.3518821.049.0(-28.0)#6448.0(-27.0)#2,991
65.3652521.049.0(-28.0)#6548.0(-27.0)#3,005
66.3511122.049.0(-27.0)#6648.0(-26.0)#3,120
67.3687022.049.0(-27.0)#6748.0(-26.0)#3,123
68.3590622.049.0(-27.0)#6848.0(-26.0)#3,161
69.3672622.049.0(-27.0)#6948.0(-26.0)#3,208
70.3631922.049.0(-27.0)#7048.0(-26.0)#3,241
71.3647522.049.0(-27.0)#7148.0(-26.0)#3,247
72.3631422.049.0(-27.0)#7248.0(-26.0)#3,301
73.3564023.049.0(-26.0)#7348.0(-25.0)#3,350
74.3652723.049.0(-26.0)#7448.0(-25.0)#3,380
75.3507723.049.0(-26.0)#7548.0(-25.0)#3,405
76.3576823.049.0(-26.0)#7648.0(-25.0)#3,412
77.3547623.049.0(-26.0)#7748.0(-25.0)#3,428
78.3547023.049.0(-26.0)#7848.0(-25.0)#3,467
79.3635123.049.0(-26.0)#7948.0(-25.0)#3,486
80.3500623.049.0(-26.0)#8048.0(-25.0)#3,494
81.3554023.049.0(-26.0)#8148.0(-25.0)#3,513
82.3604623.049.0(-26.0)#8248.0(-25.0)#3,533
83.3524324.049.0(-25.0)#8348.0(-24.0)#3,658
84.3620624.049.0(-25.0)#8448.0(-24.0)#3,696
85.3565424.049.0(-25.0)#8548.0(-24.0)#3,718
86.3673224.049.0(-25.0)#8648.0(-24.0)#3,722
87.3547525.049.0(-24.0)#8748.0(-23.0)#3,949
88.3637625.049.0(-24.0)#8848.0(-23.0)#4,081
89.3559325.049.0(-24.0)#8948.0(-23.0)#4,095
90.3631825.049.0(-24.0)#9048.0(-23.0)#4,104
91.3512426.049.0(-23.0)#9148.0(-22.0)#4,204
92.3669326.049.0(-23.0)#9248.0(-22.0)#4,220
93.3522826.049.0(-23.0)#9348.0(-22.0)#4,266
94.3506226.049.0(-23.0)#9448.0(-22.0)#4,278
95.3558226.049.0(-23.0)#9548.0(-22.0)#4,330
96.3597926.049.0(-23.0)#9648.0(-22.0)#4,421
97.3683027.049.0(-22.0)#9748.0(-21.0)#4,456
98.3653227.049.0(-22.0)#9848.0(-21.0)#4,479
99.3650227.049.0(-22.0)#9948.0(-21.0)#4,550
100.3505727.049.0(-22.0)#10048.0(-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.