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

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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
Louisiana
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Louisiana

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

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

Zip Code Births / 1,000 Women vs State vs National
1.712344.057.0(-53.0)#153.0(-49.0)#98
2.700925.057.0(-52.0)#253.0(-48.0)#151
3.705155.057.0(-52.0)#353.0(-48.0)#159
4.710725.057.0(-52.0)#453.0(-48.0)#190
5.714165.057.0(-52.0)#553.0(-48.0)#198
6.710826.057.0(-51.0)#653.0(-47.0)#233
7.712386.057.0(-51.0)#753.0(-47.0)#247
8.707488.057.0(-49.0)#853.0(-45.0)#375
9.710238.057.0(-49.0)#953.0(-45.0)#400
10.712228.057.0(-49.0)#1053.0(-45.0)#403
11.706388.057.0(-49.0)#1153.0(-45.0)#427
12.712198.057.0(-49.0)#1253.0(-45.0)#437
13.710448.057.0(-49.0)#1353.0(-45.0)#446
14.707639.057.0(-48.0)#1453.0(-44.0)#494
15.7123210.057.0(-47.0)#1553.0(-43.0)#613
16.7034310.057.0(-47.0)#1653.0(-43.0)#618
17.7103910.057.0(-47.0)#1753.0(-43.0)#643
18.7146210.057.0(-47.0)#1853.0(-43.0)#660
19.7147910.057.0(-47.0)#1953.0(-43.0)#689
20.7110912.057.0(-45.0)#2053.0(-41.0)#841
21.7044612.057.0(-45.0)#2153.0(-41.0)#874
22.7005712.057.0(-45.0)#2253.0(-41.0)#890
23.7003012.057.0(-45.0)#2353.0(-41.0)#897
24.7075712.057.0(-45.0)#2453.0(-41.0)#927
25.7055414.057.0(-43.0)#2553.0(-39.0)#1,182
26.7071914.057.0(-43.0)#2653.0(-39.0)#1,192
27.7005214.057.0(-43.0)#2753.0(-39.0)#1,204
28.7074416.057.0(-41.0)#2853.0(-37.0)#1,531
29.7044916.057.0(-41.0)#2953.0(-37.0)#1,569
30.7102816.057.0(-41.0)#3053.0(-37.0)#1,601
31.7061517.057.0(-40.0)#3153.0(-36.0)#1,677
32.7125117.057.0(-40.0)#3253.0(-36.0)#1,701
33.7046217.057.0(-40.0)#3353.0(-36.0)#1,718
34.7142317.057.0(-40.0)#3453.0(-36.0)#1,720
35.7035617.057.0(-40.0)#3553.0(-36.0)#1,774
36.7100417.057.0(-40.0)#3653.0(-36.0)#1,806
37.7100618.057.0(-39.0)#3753.0(-35.0)#1,847
38.7035518.057.0(-39.0)#3853.0(-35.0)#1,964
39.7111219.057.0(-38.0)#3953.0(-34.0)#2,004
40.7082019.057.0(-38.0)#4053.0(-34.0)#2,019
41.7081219.057.0(-38.0)#4153.0(-34.0)#2,051
42.7034419.057.0(-38.0)#4253.0(-34.0)#2,088
43.7101920.057.0(-37.0)#4353.0(-33.0)#2,268
44.7123520.057.0(-37.0)#4453.0(-33.0)#2,297
45.7077421.057.0(-36.0)#4553.0(-32.0)#2,493
46.7080822.057.0(-35.0)#4653.0(-31.0)#2,664
47.7081122.057.0(-35.0)#4753.0(-31.0)#2,708
48.7146922.057.0(-35.0)#4853.0(-31.0)#2,793
49.7080223.057.0(-34.0)#4953.0(-30.0)#2,936
50.7039223.057.0(-34.0)#5053.0(-30.0)#2,996
51.7107123.057.0(-34.0)#5153.0(-30.0)#3,078
52.7011824.057.0(-33.0)#5253.0(-29.0)#3,153
53.7054224.057.0(-33.0)#5353.0(-29.0)#3,289
54.7008324.057.0(-33.0)#5453.0(-29.0)#3,323
55.7100824.057.0(-33.0)#5553.0(-29.0)#3,385
56.7011725.057.0(-32.0)#5653.0(-28.0)#3,432
57.7000227.057.0(-30.0)#5753.0(-26.0)#3,980
58.7008527.057.0(-30.0)#5853.0(-26.0)#4,061
59.7073027.057.0(-30.0)#5953.0(-26.0)#4,082
60.7137127.057.0(-30.0)#6053.0(-26.0)#4,114
61.7065927.057.0(-30.0)#6153.0(-26.0)#4,129
62.7075927.057.0(-30.0)#6253.0(-26.0)#4,132
63.7081728.057.0(-29.0)#6353.0(-25.0)#4,219
64.7110628.057.0(-29.0)#6453.0(-25.0)#4,220
65.7011628.057.0(-29.0)#6553.0(-25.0)#4,300
66.7054828.057.0(-29.0)#6653.0(-25.0)#4,304
67.7136828.057.0(-29.0)#6753.0(-25.0)#4,403
68.7078529.057.0(-28.0)#6853.0(-24.0)#4,503
69.7052929.057.0(-28.0)#6953.0(-24.0)#4,537
70.7044529.057.0(-28.0)#7053.0(-24.0)#4,559
71.7106829.057.0(-28.0)#7153.0(-24.0)#4,617
72.7106029.057.0(-28.0)#7253.0(-24.0)#4,638
73.7053429.057.0(-28.0)#7353.0(-24.0)#4,684
74.7040330.057.0(-27.0)#7453.0(-23.0)#4,758
75.7044430.057.0(-27.0)#7553.0(-23.0)#4,837
76.7073430.057.0(-27.0)#7653.0(-23.0)#4,839
77.7011230.057.0(-27.0)#7753.0(-23.0)#4,891
78.7077830.057.0(-27.0)#7853.0(-23.0)#4,907
79.7123730.057.0(-27.0)#7953.0(-23.0)#4,971
80.7129231.057.0(-26.0)#8053.0(-22.0)#5,090
81.7038031.057.0(-26.0)#8153.0(-22.0)#5,096
82.7004731.057.0(-26.0)#8253.0(-22.0)#5,131
83.7055931.057.0(-26.0)#8353.0(-22.0)#5,223
84.7006832.057.0(-25.0)#8453.0(-21.0)#5,352
85.7050332.057.0(-25.0)#8553.0(-21.0)#5,363
86.7044332.057.0(-25.0)#8653.0(-21.0)#5,450
87.7042632.057.0(-25.0)#8753.0(-21.0)#5,471
88.7135532.057.0(-25.0)#8853.0(-21.0)#5,527
89.7055232.057.0(-25.0)#8953.0(-21.0)#5,559
90.7128633.057.0(-24.0)#9053.0(-20.0)#5,908
91.7046134.057.0(-23.0)#9153.0(-19.0)#5,968
92.7076734.057.0(-23.0)#9253.0(-19.0)#6,031
93.7107834.057.0(-23.0)#9353.0(-19.0)#6,087
94.7137534.057.0(-23.0)#9453.0(-19.0)#6,196
95.7050135.057.0(-22.0)#9553.0(-18.0)#6,317
96.7035935.057.0(-22.0)#9653.0(-18.0)#6,393
97.7039535.057.0(-22.0)#9753.0(-18.0)#6,448
98.7037735.057.0(-22.0)#9853.0(-18.0)#6,451
99.7065335.057.0(-22.0)#9953.0(-18.0)#6,453
100.7129136.057.0(-21.0)#10053.0(-17.0)#6,589

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Louisiana?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Louisiana are:
#1
4.0
#2
5.0
#3
5.0
#4
5.0
#5
5.0
#6
6.0
#7
6.0
#8
8.0
#9
8.0
#10
8.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Louisiana?
71234 has the Fewest Births per 1,000 Women Below Poverty Level in Louisiana with 4.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the State of Louisiana?
Number of Births per 1,000 Women Below Poverty Level in Louisiana is 57.0.
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.