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

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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
Louisiana
Compare Zip Codes
Comparison Subject

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

0.0
1,000.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Louisiana Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 70464 1,000.0 57.0 (+943)#1 53.0 (+947)#23
2. 70736 675.0 57.0 (+618)#2 53.0 (+622)#99
3. 71450 554.0 57.0 (+497)#3 53.0 (+501)#143
4. 71426 500.0 57.0 (+443)#4 53.0 (+447)#171
5. 70637 487.0 57.0 (+430)#5 53.0 (+434)#186
6. 71233 484.0 57.0 (+427)#6 53.0 (+431)#190
7. 71326 480.0 57.0 (+423)#7 53.0 (+427)#191
8. 71242 455.0 57.0 (+398)#8 53.0 (+402)#213
9. 70749 398.0 57.0 (+341)#9 53.0 (+345)#264
10. 71333 378.0 57.0 (+321)#10 53.0 (+325)#288
11. 71414 368.0 57.0 (+311)#11 53.0 (+315)#306
12. 70645 294.0 57.0 (+237)#12 53.0 (+241)#472
13. 71415 286.0 57.0 (+229)#13 53.0 (+233)#502
14. 71256 283.0 57.0 (+226)#14 53.0 (+230)#515
15. 70466 266.0 57.0 (+209)#15 53.0 (+213)#582
16. 71024 257.0 57.0 (+200)#16 53.0 (+204)#620
17. 71322 251.0 57.0 (+194)#17 53.0 (+198)#642
18. 71366 250.0 57.0 (+193)#18 53.0 (+197)#644
19. 70755 240.0 57.0 (+183)#19 53.0 (+187)#712
20. 70585 233.0 57.0 (+176)#20 53.0 (+180)#753
21. 71438 216.0 57.0 (+159)#21 53.0 (+163)#855
22. 71354 206.0 57.0 (+149)#22 53.0 (+153)#916
23. 70756 205.0 57.0 (+148)#23 53.0 (+152)#923
24. 71073 193.0 57.0 (+136)#24 53.0 (+140)#1,065
25. 70465 192.0 57.0 (+135)#25 53.0 (+139)#1,074
26. 71407 191.0 57.0 (+134)#26 53.0 (+138)#1,085
27. 70723 180.0 57.0 (+123)#27 53.0 (+127)#1,212
28. 70655 174.0 57.0 (+117)#28 53.0 (+121)#1,292
29. 71357 174.0 57.0 (+117)#29 53.0 (+121)#1,299
30. 70660 169.0 57.0 (+112)#30 53.0 (+116)#1,381
31. 71459 166.0 57.0 (+109)#31 53.0 (+113)#1,457
32. 70455 163.0 57.0 (+106)#32 53.0 (+110)#1,495
33. 70450 158.0 57.0 (+101)#33 53.0 (+105)#1,592
34. 70346 157.0 57.0 (+100.0)#34 53.0 (+104)#1,607
35. 70711 157.0 57.0 (+100.0)#35 53.0 (+104)#1,609
36. 70668 152.0 57.0 (+95.0)#36 53.0 (+99.0)#1,696
37. 71260 149.0 57.0 (+92.0)#37 53.0 (+96.0)#1,767
38. 70783 149.0 57.0 (+92.0)#38 53.0 (+96.0)#1,768
39. 71247 140.0 57.0 (+83.0)#39 53.0 (+87.0)#1,994
40. 70354 138.0 57.0 (+81.0)#40 53.0 (+85.0)#2,049
41. 71353 137.0 57.0 (+80.0)#41 53.0 (+84.0)#2,092
42. 71254 136.0 57.0 (+79.0)#42 53.0 (+83.0)#2,113
43. 71327 135.0 57.0 (+78.0)#43 53.0 (+82.0)#2,149
44. 71061 127.0 57.0 (+70.0)#44 53.0 (+74.0)#2,449
45. 71454 125.0 57.0 (+68.0)#45 53.0 (+72.0)#2,525
46. 71341 123.0 57.0 (+66.0)#46 53.0 (+70.0)#2,611
47. 70373 120.0 57.0 (+63.0)#47 53.0 (+67.0)#2,739
48. 71033 119.0 57.0 (+62.0)#48 53.0 (+66.0)#2,774
49. 71480 119.0 57.0 (+62.0)#49 53.0 (+66.0)#2,787
50. 70520 118.0 57.0 (+61.0)#50 53.0 (+65.0)#2,807
51. 71027 116.0 57.0 (+59.0)#51 53.0 (+63.0)#2,942
52. 70129 115.0 57.0 (+58.0)#52 53.0 (+62.0)#2,966
53. 70510 113.0 57.0 (+56.0)#53 53.0 (+60.0)#3,067
54. 71269 112.0 57.0 (+55.0)#54 53.0 (+59.0)#3,124
55. 70712 110.0 57.0 (+53.0)#55 53.0 (+57.0)#3,273
56. 70589 110.0 57.0 (+53.0)#56 53.0 (+57.0)#3,277
57. 71467 109.0 57.0 (+52.0)#57 53.0 (+56.0)#3,318
58. 71323 109.0 57.0 (+52.0)#58 53.0 (+56.0)#3,338
59. 71065 109.0 57.0 (+52.0)#59 53.0 (+56.0)#3,342
60. 71334 108.0 57.0 (+51.0)#60 53.0 (+55.0)#3,375
61. 71340 108.0 57.0 (+51.0)#61 53.0 (+55.0)#3,405
62. 70760 107.0 57.0 (+50.0)#62 53.0 (+54.0)#3,438
63. 70532 107.0 57.0 (+50.0)#63 53.0 (+54.0)#3,456
64. 71052 105.0 57.0 (+48.0)#64 53.0 (+52.0)#3,582
65. 70584 105.0 57.0 (+48.0)#65 53.0 (+52.0)#3,586
66. 71295 104.0 57.0 (+47.0)#66 53.0 (+51.0)#3,642
67. 71418 104.0 57.0 (+47.0)#67 53.0 (+51.0)#3,660
68. 70056 103.0 57.0 (+46.0)#68 53.0 (+50.0)#3,701
69. 70788 103.0 57.0 (+46.0)#69 53.0 (+50.0)#3,733
70. 70345 102.0 57.0 (+45.0)#70 53.0 (+49.0)#3,801
71. 70777 98.0 57.0 (+41.0)#71 53.0 (+45.0)#4,130
72. 71018 98.0 57.0 (+41.0)#72 53.0 (+45.0)#4,152
73. 70358 98.0 57.0 (+41.0)#73 53.0 (+45.0)#4,159
74. 70001 97.0 57.0 (+40.0)#74 53.0 (+44.0)#4,185
75. 71351 97.0 57.0 (+40.0)#75 53.0 (+44.0)#4,202
76. 70363 96.0 57.0 (+39.0)#76 53.0 (+43.0)#4,288
77. 71040 96.0 57.0 (+39.0)#77 53.0 (+43.0)#4,311
78. 71075 95.0 57.0 (+38.0)#78 53.0 (+42.0)#4,408
79. 70516 95.0 57.0 (+38.0)#79 53.0 (+42.0)#4,454
80. 70810 94.0 57.0 (+37.0)#80 53.0 (+41.0)#4,476
81. 71404 94.0 57.0 (+37.0)#81 53.0 (+41.0)#4,550
82. 70058 93.0 57.0 (+36.0)#82 53.0 (+40.0)#4,564
83. 70769 92.0 57.0 (+35.0)#83 53.0 (+39.0)#4,650
84. 70814 92.0 57.0 (+35.0)#84 53.0 (+39.0)#4,670
85. 70657 91.0 57.0 (+34.0)#85 53.0 (+38.0)#4,787
86. 71403 91.0 57.0 (+34.0)#86 53.0 (+38.0)#4,794
87. 71049 91.0 57.0 (+34.0)#87 53.0 (+38.0)#4,798
88. 71346 91.0 57.0 (+34.0)#88 53.0 (+38.0)#4,812
89. 70541 91.0 57.0 (+34.0)#89 53.0 (+38.0)#4,831
90. 70578 89.0 57.0 (+32.0)#90 53.0 (+36.0)#4,971
91. 70512 89.0 57.0 (+32.0)#91 53.0 (+36.0)#4,982
92. 70656 89.0 57.0 (+32.0)#92 53.0 (+36.0)#5,010
93. 70374 88.0 57.0 (+31.0)#93 53.0 (+35.0)#5,096
94. 71259 88.0 57.0 (+31.0)#94 53.0 (+35.0)#5,134
95. 70743 88.0 57.0 (+31.0)#95 53.0 (+35.0)#5,155
96. 70546 87.0 57.0 (+30.0)#96 53.0 (+34.0)#5,205
97. 71129 87.0 57.0 (+30.0)#97 53.0 (+34.0)#5,209
98. 70121 87.0 57.0 (+30.0)#98 53.0 (+34.0)#5,215
99. 70633 87.0 57.0 (+30.0)#99 53.0 (+34.0)#5,226
100. 70090 87.0 57.0 (+30.0)#100 53.0 (+34.0)#5,229

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Louisiana?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Louisiana are:
#1
1,000.0
#2
675.0
#3
554.0
#4
500.0
#5
487.0
#6
484.0
#7
480.0
#8
455.0
#9
398.0
#10
378.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Louisiana?
70464 has the Most Births per 1,000 Women Below Poverty Level in Louisiana with 1,000.0.
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.