Zip Codes with the Most Births per 1,000 Women in Labor Force in Louisiana

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Highest Birth Rate | In Labor Force
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 in Labor Force in Louisiana

0.0
800.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Louisiana Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in Louisiana

Zip Code Births / 1,000 Women vs State vs National
1. 70736 675.0 52.0 (+623)#1 48.0 (+627)#84
2. 70749 615.0 52.0 (+563)#2 48.0 (+567)#112
3. 71407 595.0 52.0 (+543)#3 48.0 (+547)#120
4. 71233 484.0 52.0 (+432)#4 48.0 (+436)#183
5. 70455 418.0 52.0 (+366)#5 48.0 (+370)#251
6. 71414 378.0 52.0 (+326)#6 48.0 (+330)#296
7. 71454 372.0 52.0 (+320)#7 48.0 (+324)#307
8. 70645 372.0 52.0 (+320)#8 48.0 (+324)#308
9. 70637 358.0 52.0 (+306)#9 48.0 (+310)#331
10. 71256 354.0 52.0 (+302)#10 48.0 (+306)#341
11. 71438 331.0 52.0 (+279)#11 48.0 (+283)#397
12. 71366 324.0 52.0 (+272)#12 48.0 (+276)#407
13. 71322 286.0 52.0 (+234)#13 48.0 (+238)#510
14. 70655 265.0 52.0 (+213)#14 48.0 (+217)#591
15. 71254 249.0 52.0 (+197)#15 48.0 (+201)#671
16. 71073 244.0 52.0 (+192)#16 48.0 (+196)#692
17. 70353 238.0 52.0 (+186)#17 48.0 (+190)#723
18. 71326 235.0 52.0 (+183)#18 48.0 (+187)#737
19. 71027 230.0 52.0 (+178)#19 48.0 (+182)#769
20. 70711 228.0 52.0 (+176)#20 48.0 (+180)#778
21. 71340 213.0 52.0 (+161)#21 48.0 (+165)#889
22. 70712 209.0 52.0 (+157)#22 48.0 (+161)#915
23. 70756 205.0 52.0 (+153)#23 48.0 (+157)#954
24. 71333 200.0 52.0 (+148)#24 48.0 (+152)#986
25. 71061 173.0 52.0 (+121)#25 48.0 (+125)#1,284
26. 70346 170.0 52.0 (+118)#26 48.0 (+122)#1,329
27. 71323 168.0 52.0 (+116)#27 48.0 (+120)#1,364
28. 70358 162.0 52.0 (+110)#28 48.0 (+114)#1,468
29. 71033 152.0 52.0 (+100.0)#29 48.0 (+104)#1,639
30. 71247 152.0 52.0 (+100.0)#30 48.0 (+104)#1,644
31. 70783 147.0 52.0 (+95.0)#31 48.0 (+99.0)#1,741
32. 70656 142.0 52.0 (+90.0)#32 48.0 (+94.0)#1,864
33. 70363 139.0 52.0 (+87.0)#33 48.0 (+91.0)#1,919
34. 70760 137.0 52.0 (+85.0)#34 48.0 (+89.0)#1,986
35. 71373 136.0 52.0 (+84.0)#35 48.0 (+88.0)#2,011
36. 71226 135.0 52.0 (+83.0)#36 48.0 (+87.0)#2,050
37. 70516 132.0 52.0 (+80.0)#37 48.0 (+84.0)#2,136
38. 70584 129.0 52.0 (+77.0)#38 48.0 (+81.0)#2,208
39. 71065 125.0 52.0 (+73.0)#39 48.0 (+77.0)#2,362
40. 71327 121.0 52.0 (+69.0)#40 48.0 (+73.0)#2,479
41. 70071 121.0 52.0 (+69.0)#41 48.0 (+73.0)#2,485
42. 70532 121.0 52.0 (+69.0)#42 48.0 (+73.0)#2,487
43. 70466 120.0 52.0 (+68.0)#43 48.0 (+72.0)#2,508
44. 71485 118.0 52.0 (+66.0)#44 48.0 (+70.0)#2,596
45. 70520 117.0 52.0 (+65.0)#45 48.0 (+69.0)#2,627
46. 71334 117.0 52.0 (+65.0)#46 48.0 (+69.0)#2,632
47. 70589 116.0 52.0 (+64.0)#47 48.0 (+68.0)#2,679
48. 71350 114.0 52.0 (+62.0)#48 48.0 (+66.0)#2,755
49. 71459 113.0 52.0 (+61.0)#49 48.0 (+65.0)#2,796
50. 70345 113.0 52.0 (+61.0)#50 48.0 (+65.0)#2,797
51. 71295 111.0 52.0 (+59.0)#51 48.0 (+63.0)#2,872
52. 71038 111.0 52.0 (+59.0)#52 48.0 (+63.0)#2,889
53. 71480 111.0 52.0 (+59.0)#53 48.0 (+63.0)#2,907
54. 70743 111.0 52.0 (+59.0)#54 48.0 (+63.0)#2,915
55. 70471 110.0 52.0 (+58.0)#55 48.0 (+62.0)#2,942
56. 70510 108.0 52.0 (+56.0)#56 48.0 (+60.0)#3,045
57. 70129 106.0 52.0 (+54.0)#57 48.0 (+58.0)#3,148
58. 70710 105.0 52.0 (+53.0)#58 48.0 (+57.0)#3,200
59. 70591 105.0 52.0 (+53.0)#59 48.0 (+57.0)#3,205
60. 71261 105.0 52.0 (+53.0)#60 48.0 (+57.0)#3,230
61. 70769 104.0 52.0 (+52.0)#61 48.0 (+56.0)#3,245
62. 70633 104.0 52.0 (+52.0)#62 48.0 (+56.0)#3,259
63. 70578 101.0 52.0 (+49.0)#63 48.0 (+53.0)#3,432
64. 71403 100.0 52.0 (+48.0)#64 48.0 (+52.0)#3,508
65. 71435 100.0 52.0 (+48.0)#65 48.0 (+52.0)#3,509
66. 71269 98.0 52.0 (+46.0)#66 48.0 (+50.0)#3,632
67. 71302 97.0 52.0 (+45.0)#67 48.0 (+49.0)#3,692
68. 70512 97.0 52.0 (+45.0)#68 48.0 (+49.0)#3,701
69. 71449 95.0 52.0 (+43.0)#69 48.0 (+47.0)#3,843
70. 71049 95.0 52.0 (+43.0)#70 48.0 (+47.0)#3,855
71. 70450 92.0 52.0 (+40.0)#71 48.0 (+44.0)#4,074
72. 70364 91.0 52.0 (+39.0)#72 48.0 (+43.0)#4,106
73. 70526 91.0 52.0 (+39.0)#73 48.0 (+43.0)#4,116
74. 70090 90.0 52.0 (+38.0)#74 48.0 (+42.0)#4,236
75. 71259 90.0 52.0 (+38.0)#75 48.0 (+42.0)#4,266
76. 71301 89.0 52.0 (+37.0)#76 48.0 (+41.0)#4,307
77. 70031 89.0 52.0 (+37.0)#77 48.0 (+41.0)#4,374
78. 70460 88.0 52.0 (+36.0)#78 48.0 (+40.0)#4,405
79. 70373 88.0 52.0 (+36.0)#79 48.0 (+40.0)#4,430
80. 71075 87.0 52.0 (+35.0)#80 48.0 (+39.0)#4,535
81. 70777 87.0 52.0 (+35.0)#81 48.0 (+39.0)#4,541
82. 71341 87.0 52.0 (+35.0)#82 48.0 (+39.0)#4,549
83. 71346 87.0 52.0 (+35.0)#83 48.0 (+39.0)#4,555
84. 70080 87.0 52.0 (+35.0)#84 48.0 (+39.0)#4,576
85. 70072 86.0 52.0 (+34.0)#85 48.0 (+38.0)#4,586
86. 71202 86.0 52.0 (+34.0)#86 48.0 (+38.0)#4,593
87. 70058 85.0 52.0 (+33.0)#87 48.0 (+37.0)#4,693
88. 70546 85.0 52.0 (+33.0)#88 48.0 (+37.0)#4,712
89. 71486 85.0 52.0 (+33.0)#89 48.0 (+37.0)#4,745
90. 70067 85.0 52.0 (+33.0)#90 48.0 (+37.0)#4,754
91. 70576 85.0 52.0 (+33.0)#91 48.0 (+37.0)#4,769
92. 70663 84.0 52.0 (+32.0)#92 48.0 (+36.0)#4,795
93. 70517 84.0 52.0 (+32.0)#93 48.0 (+36.0)#4,800
94. 70124 83.0 52.0 (+31.0)#94 48.0 (+35.0)#4,907
95. 70121 83.0 52.0 (+31.0)#95 48.0 (+35.0)#4,923
96. 70668 83.0 52.0 (+31.0)#96 48.0 (+35.0)#4,941
97. 71357 83.0 52.0 (+31.0)#97 48.0 (+35.0)#4,977
98. 71129 82.0 52.0 (+30.0)#98 48.0 (+34.0)#5,036
99. 70755 81.0 52.0 (+29.0)#99 48.0 (+33.0)#5,206
100. 70739 80.0 52.0 (+28.0)#100 48.0 (+32.0)#5,273

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Louisiana?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Louisiana are:
#1
675.0
#2
615.0
#3
595.0
#4
484.0
#5
418.0
#6
378.0
#7
372.0
#8
372.0
#9
358.0
#10
354.0
What zip code has the Most Births per 1,000 Women in Labor Force in Louisiana?
70736 has the Most Births per 1,000 Women in Labor Force in Louisiana with 675.0.
What is the Number of Births per 1,000 Women in Labor Force in the State of Louisiana?
Number of Births per 1,000 Women in Labor Force in Louisiana is 52.0.
What is the Number of Births per 1,000 Women in Labor Force in the United States?
Number of Births per 1,000 Women in Labor Force in the United States is 48.0.