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

40.0
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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. 71234 4.0 57.0 (-53.0)#1 53.0 (-49.0)#98
2. 70092 5.0 57.0 (-52.0)#2 53.0 (-48.0)#151
3. 70515 5.0 57.0 (-52.0)#3 53.0 (-48.0)#159
4. 71072 5.0 57.0 (-52.0)#4 53.0 (-48.0)#190
5. 71416 5.0 57.0 (-52.0)#5 53.0 (-48.0)#198
6. 71082 6.0 57.0 (-51.0)#6 53.0 (-47.0)#233
7. 71238 6.0 57.0 (-51.0)#7 53.0 (-47.0)#247
8. 70748 8.0 57.0 (-49.0)#8 53.0 (-45.0)#375
9. 71023 8.0 57.0 (-49.0)#9 53.0 (-45.0)#400
10. 71222 8.0 57.0 (-49.0)#10 53.0 (-45.0)#403
11. 70638 8.0 57.0 (-49.0)#11 53.0 (-45.0)#427
12. 71219 8.0 57.0 (-49.0)#12 53.0 (-45.0)#437
13. 71044 8.0 57.0 (-49.0)#13 53.0 (-45.0)#446
14. 70763 9.0 57.0 (-48.0)#14 53.0 (-44.0)#494
15. 71232 10.0 57.0 (-47.0)#15 53.0 (-43.0)#613
16. 70343 10.0 57.0 (-47.0)#16 53.0 (-43.0)#618
17. 71039 10.0 57.0 (-47.0)#17 53.0 (-43.0)#643
18. 71462 10.0 57.0 (-47.0)#18 53.0 (-43.0)#660
19. 71479 10.0 57.0 (-47.0)#19 53.0 (-43.0)#689
20. 71109 12.0 57.0 (-45.0)#20 53.0 (-41.0)#841
21. 70446 12.0 57.0 (-45.0)#21 53.0 (-41.0)#874
22. 70057 12.0 57.0 (-45.0)#22 53.0 (-41.0)#890
23. 70030 12.0 57.0 (-45.0)#23 53.0 (-41.0)#897
24. 70757 12.0 57.0 (-45.0)#24 53.0 (-41.0)#927
25. 70554 14.0 57.0 (-43.0)#25 53.0 (-39.0)#1,182
26. 70719 14.0 57.0 (-43.0)#26 53.0 (-39.0)#1,192
27. 70052 14.0 57.0 (-43.0)#27 53.0 (-39.0)#1,204
28. 70744 16.0 57.0 (-41.0)#28 53.0 (-37.0)#1,531
29. 70449 16.0 57.0 (-41.0)#29 53.0 (-37.0)#1,569
30. 71028 16.0 57.0 (-41.0)#30 53.0 (-37.0)#1,601
31. 70615 17.0 57.0 (-40.0)#31 53.0 (-36.0)#1,677
32. 71251 17.0 57.0 (-40.0)#32 53.0 (-36.0)#1,701
33. 70462 17.0 57.0 (-40.0)#33 53.0 (-36.0)#1,718
34. 71423 17.0 57.0 (-40.0)#34 53.0 (-36.0)#1,720
35. 70356 17.0 57.0 (-40.0)#35 53.0 (-36.0)#1,774
36. 71004 17.0 57.0 (-40.0)#36 53.0 (-36.0)#1,806
37. 71006 18.0 57.0 (-39.0)#37 53.0 (-35.0)#1,847
38. 70355 18.0 57.0 (-39.0)#38 53.0 (-35.0)#1,964
39. 71112 19.0 57.0 (-38.0)#39 53.0 (-34.0)#2,004
40. 70820 19.0 57.0 (-38.0)#40 53.0 (-34.0)#2,019
41. 70812 19.0 57.0 (-38.0)#41 53.0 (-34.0)#2,051
42. 70344 19.0 57.0 (-38.0)#42 53.0 (-34.0)#2,088
43. 71019 20.0 57.0 (-37.0)#43 53.0 (-33.0)#2,268
44. 71235 20.0 57.0 (-37.0)#44 53.0 (-33.0)#2,297
45. 70774 21.0 57.0 (-36.0)#45 53.0 (-32.0)#2,493
46. 70808 22.0 57.0 (-35.0)#46 53.0 (-31.0)#2,664
47. 70811 22.0 57.0 (-35.0)#47 53.0 (-31.0)#2,708
48. 71469 22.0 57.0 (-35.0)#48 53.0 (-31.0)#2,793
49. 70802 23.0 57.0 (-34.0)#49 53.0 (-30.0)#2,936
50. 70392 23.0 57.0 (-34.0)#50 53.0 (-30.0)#2,996
51. 71071 23.0 57.0 (-34.0)#51 53.0 (-30.0)#3,078
52. 70118 24.0 57.0 (-33.0)#52 53.0 (-29.0)#3,153
53. 70542 24.0 57.0 (-33.0)#53 53.0 (-29.0)#3,289
54. 70083 24.0 57.0 (-33.0)#54 53.0 (-29.0)#3,323
55. 71008 24.0 57.0 (-33.0)#55 53.0 (-29.0)#3,385
56. 70117 25.0 57.0 (-32.0)#56 53.0 (-28.0)#3,432
57. 70002 27.0 57.0 (-30.0)#57 53.0 (-26.0)#3,980
58. 70085 27.0 57.0 (-30.0)#58 53.0 (-26.0)#4,061
59. 70730 27.0 57.0 (-30.0)#59 53.0 (-26.0)#4,082
60. 71371 27.0 57.0 (-30.0)#60 53.0 (-26.0)#4,114
61. 70659 27.0 57.0 (-30.0)#61 53.0 (-26.0)#4,129
62. 70759 27.0 57.0 (-30.0)#62 53.0 (-26.0)#4,132
63. 70817 28.0 57.0 (-29.0)#63 53.0 (-25.0)#4,219
64. 71106 28.0 57.0 (-29.0)#64 53.0 (-25.0)#4,220
65. 70116 28.0 57.0 (-29.0)#65 53.0 (-25.0)#4,300
66. 70548 28.0 57.0 (-29.0)#66 53.0 (-25.0)#4,304
67. 71368 28.0 57.0 (-29.0)#67 53.0 (-25.0)#4,403
68. 70785 29.0 57.0 (-28.0)#68 53.0 (-24.0)#4,503
69. 70529 29.0 57.0 (-28.0)#69 53.0 (-24.0)#4,537
70. 70445 29.0 57.0 (-28.0)#70 53.0 (-24.0)#4,559
71. 71068 29.0 57.0 (-28.0)#71 53.0 (-24.0)#4,617
72. 71060 29.0 57.0 (-28.0)#72 53.0 (-24.0)#4,638
73. 70534 29.0 57.0 (-28.0)#73 53.0 (-24.0)#4,684
74. 70403 30.0 57.0 (-27.0)#74 53.0 (-23.0)#4,758
75. 70444 30.0 57.0 (-27.0)#75 53.0 (-23.0)#4,837
76. 70734 30.0 57.0 (-27.0)#76 53.0 (-23.0)#4,839
77. 70112 30.0 57.0 (-27.0)#77 53.0 (-23.0)#4,891
78. 70778 30.0 57.0 (-27.0)#78 53.0 (-23.0)#4,907
79. 71237 30.0 57.0 (-27.0)#79 53.0 (-23.0)#4,971
80. 71292 31.0 57.0 (-26.0)#80 53.0 (-22.0)#5,090
81. 70380 31.0 57.0 (-26.0)#81 53.0 (-22.0)#5,096
82. 70047 31.0 57.0 (-26.0)#82 53.0 (-22.0)#5,131
83. 70559 31.0 57.0 (-26.0)#83 53.0 (-22.0)#5,223
84. 70068 32.0 57.0 (-25.0)#84 53.0 (-21.0)#5,352
85. 70503 32.0 57.0 (-25.0)#85 53.0 (-21.0)#5,363
86. 70443 32.0 57.0 (-25.0)#86 53.0 (-21.0)#5,450
87. 70426 32.0 57.0 (-25.0)#87 53.0 (-21.0)#5,471
88. 71355 32.0 57.0 (-25.0)#88 53.0 (-21.0)#5,527
89. 70552 32.0 57.0 (-25.0)#89 53.0 (-21.0)#5,559
90. 71286 33.0 57.0 (-24.0)#90 53.0 (-20.0)#5,908
91. 70461 34.0 57.0 (-23.0)#91 53.0 (-19.0)#5,968
92. 70767 34.0 57.0 (-23.0)#92 53.0 (-19.0)#6,031
93. 71078 34.0 57.0 (-23.0)#93 53.0 (-19.0)#6,087
94. 71375 34.0 57.0 (-23.0)#94 53.0 (-19.0)#6,196
95. 70501 35.0 57.0 (-22.0)#95 53.0 (-18.0)#6,317
96. 70359 35.0 57.0 (-22.0)#96 53.0 (-18.0)#6,393
97. 70395 35.0 57.0 (-22.0)#97 53.0 (-18.0)#6,448
98. 70377 35.0 57.0 (-22.0)#98 53.0 (-18.0)#6,451
99. 70653 35.0 57.0 (-22.0)#99 53.0 (-18.0)#6,453
100. 71291 36.0 57.0 (-21.0)#100 53.0 (-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.