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

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Highest 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 Most Births per 1,000 Women in Labor Force in Alabama

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Alabama Map

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

Zip Code Births / 1,000 Women vs State vs National
1.365111,000.049.0(+951)#148.0(+952)#3
2.350701,000.049.0(+951)#248.0(+952)#32
3.36790733.049.0(+684)#348.0(+685)#71
4.36773686.049.0(+637)#448.0(+638)#82
5.36052419.049.0(+370)#548.0(+371)#250
6.36858362.049.0(+313)#648.0(+314)#324
7.35989297.049.0(+248)#748.0(+249)#478
8.36749283.049.0(+234)#848.0(+235)#526
9.35183266.049.0(+217)#948.0(+218)#589
10.35172248.049.0(+199)#1048.0(+200)#672
11.35587245.049.0(+196)#1148.0(+197)#685
12.36908228.049.0(+179)#1248.0(+180)#780
13.35647214.049.0(+165)#1348.0(+166)#883
14.35089200.049.0(+151)#1448.0(+152)#980
15.35610196.049.0(+147)#1548.0(+148)#1,047
16.35042195.049.0(+146)#1648.0(+147)#1,058
17.36879195.049.0(+146)#1748.0(+147)#1,061
18.36262192.049.0(+143)#1848.0(+144)#1,085
19.36075189.049.0(+140)#1948.0(+141)#1,102
20.35973186.049.0(+137)#2048.0(+138)#1,132
21.35574186.049.0(+137)#2148.0(+138)#1,137
22.36768181.049.0(+132)#2248.0(+133)#1,200
23.35473173.049.0(+124)#2348.0(+125)#1,279
24.35442172.049.0(+123)#2448.0(+124)#1,293
25.35953171.049.0(+122)#2548.0(+123)#1,314
26.35087155.049.0(+106)#2648.0(+107)#1,593
27.36863148.049.0(+99.0)#2748.0(+100.0)#1,710
28.35748143.049.0(+94.0)#2848.0(+95.0)#1,808
29.35564142.049.0(+93.0)#2948.0(+94.0)#1,869
30.36505141.049.0(+92.0)#3048.0(+93.0)#1,886
31.36032140.049.0(+91.0)#3148.0(+92.0)#1,898
32.36370137.049.0(+88.0)#3248.0(+89.0)#1,999
33.36024136.049.0(+87.0)#3348.0(+88.0)#2,012
34.36856133.049.0(+84.0)#3448.0(+85.0)#2,093
35.36477133.049.0(+84.0)#3548.0(+85.0)#2,101
36.36854132.049.0(+83.0)#3648.0(+84.0)#2,123
37.35208127.049.0(+78.0)#3748.0(+79.0)#2,266
38.36605126.049.0(+77.0)#3848.0(+78.0)#2,307
39.36850124.049.0(+75.0)#3948.0(+76.0)#2,395
40.36107122.049.0(+73.0)#4048.0(+74.0)#2,444
41.35133119.049.0(+70.0)#4148.0(+71.0)#2,557
42.36442118.049.0(+69.0)#4248.0(+70.0)#2,594
43.36455118.049.0(+69.0)#4348.0(+70.0)#2,620
44.36274117.049.0(+68.0)#4448.0(+69.0)#2,633
45.35959117.049.0(+68.0)#4548.0(+69.0)#2,641
46.36919117.049.0(+68.0)#4648.0(+69.0)#2,656
47.36603113.049.0(+64.0)#4748.0(+65.0)#2,798
48.36280113.049.0(+64.0)#4848.0(+65.0)#2,808
49.36111112.049.0(+63.0)#4948.0(+64.0)#2,831
50.35019112.049.0(+63.0)#5048.0(+64.0)#2,850
51.35125110.049.0(+61.0)#5148.0(+62.0)#2,949
52.36113110.049.0(+61.0)#5248.0(+62.0)#2,977
53.36866109.049.0(+60.0)#5348.0(+61.0)#3,008
54.35447109.049.0(+60.0)#5448.0(+61.0)#3,016
55.35213106.049.0(+57.0)#5548.0(+58.0)#3,143
56.35118106.049.0(+57.0)#5648.0(+58.0)#3,160
57.36108105.049.0(+56.0)#5748.0(+57.0)#3,187
58.36041105.049.0(+56.0)#5848.0(+57.0)#3,229
59.36053104.049.0(+55.0)#5948.0(+56.0)#3,277
60.36034103.049.0(+54.0)#6048.0(+55.0)#3,354
61.36016102.049.0(+53.0)#6148.0(+54.0)#3,389
62.36904102.049.0(+53.0)#6248.0(+54.0)#3,391
63.35160101.049.0(+52.0)#6348.0(+53.0)#3,428
64.35614101.049.0(+52.0)#6448.0(+53.0)#3,448
65.35064100.049.0(+51.0)#6548.0(+52.0)#3,496
66.35652100.049.0(+51.0)#6648.0(+52.0)#3,498
67.3507299.049.0(+50.0)#6748.0(+51.0)#3,578
68.3509498.049.0(+49.0)#6848.0(+50.0)#3,628
69.3558098.049.0(+49.0)#6948.0(+50.0)#3,650
70.3597697.049.0(+48.0)#7048.0(+49.0)#3,689
71.3521297.049.0(+48.0)#7148.0(+49.0)#3,702
72.3626897.049.0(+48.0)#7248.0(+49.0)#3,712
73.3545396.049.0(+47.0)#7348.0(+48.0)#3,771
74.3595696.049.0(+47.0)#7448.0(+48.0)#3,776
75.3636296.049.0(+47.0)#7548.0(+48.0)#3,784
76.3577193.049.0(+44.0)#7648.0(+45.0)#3,998
77.3523592.049.0(+43.0)#7748.0(+44.0)#4,040
78.3634592.049.0(+43.0)#7848.0(+44.0)#4,056
79.3522492.049.0(+43.0)#7948.0(+44.0)#4,061
80.3601091.049.0(+42.0)#8048.0(+43.0)#4,138
81.3625891.049.0(+42.0)#8148.0(+43.0)#4,165
82.3598491.049.0(+42.0)#8248.0(+43.0)#4,170
83.3524490.049.0(+41.0)#8348.0(+42.0)#4,206
84.3501690.049.0(+41.0)#8448.0(+42.0)#4,220
85.3515090.049.0(+41.0)#8548.0(+42.0)#4,221
86.3505490.049.0(+41.0)#8648.0(+42.0)#4,245
87.3575989.049.0(+40.0)#8748.0(+41.0)#4,315
88.3556389.049.0(+40.0)#8848.0(+41.0)#4,344
89.3561889.049.0(+40.0)#8948.0(+41.0)#4,363
90.3557688.049.0(+39.0)#9048.0(+40.0)#4,441
91.3512087.049.0(+38.0)#9148.0(+39.0)#4,509
92.3685386.049.0(+37.0)#9248.0(+38.0)#4,623
93.3598086.049.0(+37.0)#9348.0(+38.0)#4,626
94.3573986.049.0(+37.0)#9448.0(+38.0)#4,633
95.3505885.049.0(+36.0)#9548.0(+37.0)#4,728
96.3515184.049.0(+35.0)#9648.0(+36.0)#4,830
97.3520783.049.0(+34.0)#9748.0(+35.0)#4,936
98.3562283.049.0(+34.0)#9848.0(+35.0)#4,938
99.3654882.049.0(+33.0)#9948.0(+34.0)#5,105
100.3654181.049.0(+32.0)#10048.0(+33.0)#5,168

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Alabama?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Alabama are:
#1
1,000.0
#2
1,000.0
#3
733.0
#4
686.0
#5
419.0
#6
362.0
#7
297.0
#8
283.0
#9
266.0
#10
248.0
What zip code has the Most Births per 1,000 Women in Labor Force in Alabama?
36511 has the Most Births per 1,000 Women in Labor Force in Alabama with 1,000.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Alabama?
Number of Births per 1,000 Women in Labor Force in Alabama is 49.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.