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
1.365111,000.052.0(+948)#153.0(+947)#4
2.36790733.052.0(+681)#253.0(+680)#80
3.35070500.052.0(+448)#353.0(+447)#173
4.36773493.052.0(+441)#453.0(+440)#181
5.36513464.052.0(+412)#553.0(+411)#202
6.36052333.052.0(+281)#653.0(+280)#366
7.36767328.052.0(+276)#753.0(+275)#391
8.36736321.052.0(+269)#853.0(+268)#401
9.36754303.052.0(+251)#953.0(+250)#446
10.36858270.052.0(+218)#1053.0(+217)#563
11.35042265.052.0(+213)#1153.0(+212)#584
12.36267247.052.0(+195)#1253.0(+194)#683
13.35649231.052.0(+179)#1353.0(+178)#770
14.35032200.052.0(+148)#1453.0(+147)#994
15.36474188.052.0(+136)#1553.0(+135)#1,115
16.35771172.052.0(+120)#1653.0(+119)#1,330
17.35618168.052.0(+116)#1753.0(+115)#1,401
18.36578168.052.0(+116)#1853.0(+115)#1,406
19.36439167.052.0(+115)#1953.0(+114)#1,455
20.35989165.052.0(+113)#2053.0(+112)#1,468
21.35089158.052.0(+106)#2153.0(+105)#1,595
22.36024157.052.0(+105)#2253.0(+104)#1,610
23.36749156.052.0(+104)#2353.0(+103)#1,639
24.35580153.052.0(+101)#2453.0(+100.0)#1,682
25.36425152.052.0(+100.0)#2553.0(+99.0)#1,713
26.36879151.052.0(+99.0)#2653.0(+98.0)#1,725
27.36775151.052.0(+99.0)#2753.0(+98.0)#1,734
28.36005149.052.0(+97.0)#2853.0(+96.0)#1,771
29.35442148.052.0(+96.0)#2953.0(+95.0)#1,782
30.35574148.052.0(+96.0)#3053.0(+95.0)#1,791
31.36481145.052.0(+93.0)#3153.0(+92.0)#1,878
32.35183142.052.0(+90.0)#3253.0(+89.0)#1,957
33.35647140.052.0(+88.0)#3353.0(+87.0)#1,997
34.35473139.052.0(+87.0)#3453.0(+86.0)#2,012
35.35984139.052.0(+87.0)#3553.0(+86.0)#2,034
36.35172133.052.0(+81.0)#3653.0(+80.0)#2,225
37.35063130.052.0(+78.0)#3753.0(+77.0)#2,311
38.35587129.052.0(+77.0)#3853.0(+76.0)#2,381
39.35610128.052.0(+76.0)#3953.0(+75.0)#2,403
40.35543128.052.0(+76.0)#4053.0(+75.0)#2,409
41.35670125.052.0(+73.0)#4153.0(+72.0)#2,510
42.35748125.052.0(+73.0)#4253.0(+72.0)#2,511
43.35959125.052.0(+73.0)#4353.0(+72.0)#2,515
44.35766125.052.0(+73.0)#4453.0(+72.0)#2,542
45.35118124.052.0(+72.0)#4553.0(+71.0)#2,569
46.36919124.052.0(+72.0)#4653.0(+71.0)#2,579
47.36115124.052.0(+72.0)#4753.0(+71.0)#2,587
48.35652122.052.0(+70.0)#4853.0(+69.0)#2,649
49.36262122.052.0(+70.0)#4953.0(+69.0)#2,669
50.35973121.052.0(+69.0)#5053.0(+68.0)#2,701
51.35207120.052.0(+68.0)#5153.0(+67.0)#2,737
52.35212114.052.0(+62.0)#5253.0(+61.0)#3,022
53.36904114.052.0(+62.0)#5353.0(+61.0)#3,036
54.35953113.052.0(+61.0)#5453.0(+60.0)#3,079
55.36854112.052.0(+60.0)#5553.0(+59.0)#3,122
56.36477112.052.0(+60.0)#5653.0(+59.0)#3,140
57.36768111.052.0(+59.0)#5753.0(+58.0)#3,214
58.36605110.052.0(+58.0)#5853.0(+57.0)#3,245
59.36856108.052.0(+56.0)#5953.0(+55.0)#3,378
60.36108105.052.0(+53.0)#6053.0(+52.0)#3,574
61.36362104.052.0(+52.0)#6153.0(+51.0)#3,659
62.35447104.052.0(+52.0)#6253.0(+51.0)#3,668
63.36075104.052.0(+52.0)#6353.0(+51.0)#3,682
64.35958102.052.0(+50.0)#6453.0(+49.0)#3,820
65.36782102.052.0(+50.0)#6553.0(+49.0)#3,832
66.36272101.052.0(+49.0)#6653.0(+48.0)#3,876
67.35952100.052.0(+48.0)#6753.0(+47.0)#3,937
68.35986100.052.0(+48.0)#6853.0(+47.0)#3,938
69.35087100.052.0(+48.0)#6953.0(+47.0)#3,961
70.36009100.052.0(+48.0)#7053.0(+47.0)#3,969
71.3577299.052.0(+47.0)#7153.0(+46.0)#4,048
72.3561999.052.0(+47.0)#7253.0(+46.0)#4,049
73.3686398.052.0(+46.0)#7353.0(+45.0)#4,111
74.3597898.052.0(+46.0)#7453.0(+45.0)#4,126
75.3653998.052.0(+46.0)#7553.0(+45.0)#4,172
76.3628097.052.0(+45.0)#7653.0(+44.0)#4,221
77.3556397.052.0(+45.0)#7753.0(+44.0)#4,225
78.3513397.052.0(+45.0)#7853.0(+44.0)#4,237
79.3634595.052.0(+43.0)#7953.0(+42.0)#4,397
80.3595695.052.0(+43.0)#8053.0(+42.0)#4,400
81.3610795.052.0(+43.0)#8153.0(+42.0)#4,403
82.3661394.052.0(+42.0)#8253.0(+41.0)#4,494
83.3545394.052.0(+42.0)#8353.0(+41.0)#4,495
84.3521392.052.0(+40.0)#8453.0(+39.0)#4,662
85.3601792.052.0(+40.0)#8553.0(+39.0)#4,699
86.3512091.052.0(+39.0)#8653.0(+38.0)#4,759
87.3516090.052.0(+38.0)#8753.0(+37.0)#4,860
88.3523590.052.0(+38.0)#8853.0(+37.0)#4,874
89.3598089.052.0(+37.0)#8953.0(+36.0)#4,992
90.3644289.052.0(+37.0)#9053.0(+36.0)#5,006
91.3660687.052.0(+35.0)#9153.0(+34.0)#5,201
92.3632387.052.0(+35.0)#9253.0(+34.0)#5,227
93.3554087.052.0(+35.0)#9353.0(+34.0)#5,263
94.3514786.052.0(+34.0)#9453.0(+33.0)#5,353
95.3515085.052.0(+33.0)#9553.0(+32.0)#5,445
96.3544485.052.0(+33.0)#9653.0(+32.0)#5,493
97.3511584.052.0(+32.0)#9753.0(+31.0)#5,583
98.3605484.052.0(+32.0)#9853.0(+31.0)#5,590
99.3652284.052.0(+32.0)#9953.0(+31.0)#5,613
100.3524483.052.0(+31.0)#10053.0(+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.