Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Alabama [ 101 - 200 ]

RELATED REPORTS & OPTIONS

Lowest 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

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

Zip Code Births / 1,000 Women vs State vs National
101.3652329.052.0(-23.0)#10153.0(-24.0)#4,623
102.3523329.052.0(-23.0)#10253.0(-24.0)#4,628
103.3637530.052.0(-22.0)#10353.0(-23.0)#4,860
104.3634430.052.0(-22.0)#10453.0(-23.0)#4,869
105.3540431.052.0(-21.0)#10553.0(-22.0)#5,080
106.3512631.052.0(-21.0)#10653.0(-22.0)#5,093
107.3508031.052.0(-21.0)#10753.0(-22.0)#5,103
108.3506831.052.0(-21.0)#10853.0(-22.0)#5,161
109.3631031.052.0(-21.0)#10953.0(-22.0)#5,175
110.3561631.052.0(-21.0)#11053.0(-22.0)#5,213
111.3674231.052.0(-21.0)#11153.0(-22.0)#5,229
112.3574932.052.0(-20.0)#11253.0(-21.0)#5,366
113.3642632.052.0(-20.0)#11353.0(-21.0)#5,409
114.3522232.052.0(-20.0)#11453.0(-21.0)#5,446
115.3521832.052.0(-20.0)#11553.0(-21.0)#5,457
116.3511632.052.0(-20.0)#11653.0(-21.0)#5,480
117.3546232.052.0(-20.0)#11753.0(-21.0)#5,491
118.3505733.052.0(-19.0)#11853.0(-20.0)#5,717
119.3555533.052.0(-19.0)#11953.0(-20.0)#5,756
120.3518433.052.0(-19.0)#12053.0(-20.0)#5,796
121.3627833.052.0(-19.0)#12153.0(-20.0)#5,823
122.3564333.052.0(-19.0)#12253.0(-20.0)#5,826
123.3683034.052.0(-18.0)#12353.0(-19.0)#5,933
124.3561134.052.0(-18.0)#12453.0(-19.0)#5,978
125.3567434.052.0(-18.0)#12553.0(-19.0)#6,008
126.3687034.052.0(-18.0)#12653.0(-19.0)#6,015
127.3590334.052.0(-18.0)#12753.0(-19.0)#6,020
128.3503134.052.0(-18.0)#12853.0(-19.0)#6,090
129.3687534.052.0(-18.0)#12953.0(-19.0)#6,130
130.3645634.052.0(-18.0)#13053.0(-19.0)#6,182
131.3506134.052.0(-18.0)#13153.0(-19.0)#6,188
132.3576434.052.0(-18.0)#13253.0(-19.0)#6,222
133.3575534.052.0(-18.0)#13353.0(-19.0)#6,229
134.3575835.052.0(-17.0)#13453.0(-18.0)#6,256
135.3580135.052.0(-17.0)#13553.0(-18.0)#6,330
136.3606435.052.0(-17.0)#13653.0(-18.0)#6,381
137.3608335.052.0(-17.0)#13753.0(-18.0)#6,395
138.3522135.052.0(-17.0)#13853.0(-18.0)#6,461
139.3606636.052.0(-16.0)#13953.0(-17.0)#6,641
140.3518036.052.0(-16.0)#14053.0(-17.0)#6,685
141.3507736.052.0(-16.0)#14153.0(-17.0)#6,691
142.3565036.052.0(-16.0)#14253.0(-17.0)#6,697
143.3625836.052.0(-16.0)#14353.0(-17.0)#6,855
144.3676536.052.0(-16.0)#14453.0(-17.0)#6,870
145.3512437.052.0(-15.0)#14553.0(-16.0)#6,983
146.3670137.052.0(-15.0)#14653.0(-16.0)#6,994
147.3657537.052.0(-15.0)#14753.0(-16.0)#6,996
148.3630537.052.0(-15.0)#14853.0(-16.0)#7,023
149.3566037.052.0(-15.0)#14953.0(-16.0)#7,055
150.3507937.052.0(-15.0)#15053.0(-16.0)#7,058
151.3653037.052.0(-15.0)#15153.0(-16.0)#7,082
152.3597437.052.0(-15.0)#15253.0(-16.0)#7,154
153.3559337.052.0(-15.0)#15353.0(-16.0)#7,157
154.3524238.052.0(-14.0)#15453.0(-15.0)#7,223
155.3540138.052.0(-14.0)#15553.0(-15.0)#7,252
156.3653538.052.0(-14.0)#15653.0(-15.0)#7,257
157.3646038.052.0(-14.0)#15753.0(-15.0)#7,392
158.3608938.052.0(-14.0)#15853.0(-15.0)#7,403
159.3577638.052.0(-14.0)#15953.0(-15.0)#7,440
160.3562138.052.0(-14.0)#16053.0(-15.0)#7,447
161.3607138.052.0(-14.0)#16153.0(-15.0)#7,563
162.3561339.052.0(-13.0)#16253.0(-14.0)#7,685
163.3626539.052.0(-13.0)#16353.0(-14.0)#7,688
164.3609339.052.0(-13.0)#16453.0(-14.0)#7,756
165.3634039.052.0(-13.0)#16553.0(-14.0)#7,809
166.3523439.052.0(-13.0)#16653.0(-14.0)#7,822
167.3631939.052.0(-13.0)#16753.0(-14.0)#7,849
168.3691539.052.0(-13.0)#16853.0(-14.0)#7,917
169.3517340.052.0(-12.0)#16953.0(-13.0)#8,007
170.3604940.052.0(-12.0)#17053.0(-13.0)#8,145
171.3517140.052.0(-12.0)#17153.0(-13.0)#8,169
172.3605140.052.0(-12.0)#17253.0(-13.0)#8,175
173.3597141.052.0(-11.0)#17353.0(-12.0)#8,475
174.3549041.052.0(-11.0)#17453.0(-12.0)#8,476
175.3643241.052.0(-11.0)#17553.0(-12.0)#8,549
176.3580242.052.0(-10.00)#17653.0(-11.0)#8,725
177.3654542.052.0(-10.00)#17753.0(-11.0)#8,817
178.3503442.052.0(-10.00)#17853.0(-11.0)#8,844
179.3603442.052.0(-10.00)#17953.0(-11.0)#8,948
180.3505543.052.0(-9.00)#18053.0(-10.00)#9,084
181.3661143.052.0(-9.00)#18153.0(-10.00)#9,178
182.3520343.052.0(-9.00)#18253.0(-10.00)#9,220
183.3627643.052.0(-9.00)#18353.0(-10.00)#9,226
184.3652543.052.0(-9.00)#18453.0(-10.00)#9,243
185.3611744.052.0(-8.00)#18553.0(-9.00)#9,330
186.3502244.052.0(-8.00)#18653.0(-9.00)#9,448
187.3652744.052.0(-8.00)#18753.0(-9.00)#9,470
188.3590644.052.0(-8.00)#18853.0(-9.00)#9,529
189.3687444.052.0(-8.00)#18953.0(-9.00)#9,530
190.3642144.052.0(-8.00)#19053.0(-9.00)#9,537
191.3596044.052.0(-8.00)#19153.0(-9.00)#9,542
192.3554644.052.0(-8.00)#19253.0(-9.00)#9,603
193.3574044.052.0(-8.00)#19353.0(-9.00)#9,616
194.3517844.052.0(-8.00)#19453.0(-9.00)#9,632
195.3632144.052.0(-8.00)#19553.0(-9.00)#9,647
196.3596344.052.0(-8.00)#19653.0(-9.00)#9,660
197.3504345.052.0(-7.00)#19753.0(-8.00)#9,874
198.3660445.052.0(-7.00)#19853.0(-8.00)#9,903
199.3678445.052.0(-7.00)#19953.0(-8.00)#9,924
200.3603345.052.0(-7.00)#20053.0(-8.00)#9,963