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
1.70736675.052.0(+623)#148.0(+627)#84
2.70749615.052.0(+563)#248.0(+567)#112
3.71407595.052.0(+543)#348.0(+547)#120
4.71233484.052.0(+432)#448.0(+436)#183
5.70455418.052.0(+366)#548.0(+370)#251
6.71414378.052.0(+326)#648.0(+330)#296
7.71454372.052.0(+320)#748.0(+324)#307
8.70645372.052.0(+320)#848.0(+324)#308
9.70637358.052.0(+306)#948.0(+310)#331
10.71256354.052.0(+302)#1048.0(+306)#341
11.71438331.052.0(+279)#1148.0(+283)#397
12.71366324.052.0(+272)#1248.0(+276)#407
13.71322286.052.0(+234)#1348.0(+238)#510
14.70655265.052.0(+213)#1448.0(+217)#591
15.71254249.052.0(+197)#1548.0(+201)#671
16.71073244.052.0(+192)#1648.0(+196)#692
17.70353238.052.0(+186)#1748.0(+190)#723
18.71326235.052.0(+183)#1848.0(+187)#737
19.71027230.052.0(+178)#1948.0(+182)#769
20.70711228.052.0(+176)#2048.0(+180)#778
21.71340213.052.0(+161)#2148.0(+165)#889
22.70712209.052.0(+157)#2248.0(+161)#915
23.70756205.052.0(+153)#2348.0(+157)#954
24.71333200.052.0(+148)#2448.0(+152)#986
25.71061173.052.0(+121)#2548.0(+125)#1,284
26.70346170.052.0(+118)#2648.0(+122)#1,329
27.71323168.052.0(+116)#2748.0(+120)#1,364
28.70358162.052.0(+110)#2848.0(+114)#1,468
29.71033152.052.0(+100.0)#2948.0(+104)#1,639
30.71247152.052.0(+100.0)#3048.0(+104)#1,644
31.70783147.052.0(+95.0)#3148.0(+99.0)#1,741
32.70656142.052.0(+90.0)#3248.0(+94.0)#1,864
33.70363139.052.0(+87.0)#3348.0(+91.0)#1,919
34.70760137.052.0(+85.0)#3448.0(+89.0)#1,986
35.71373136.052.0(+84.0)#3548.0(+88.0)#2,011
36.71226135.052.0(+83.0)#3648.0(+87.0)#2,050
37.70516132.052.0(+80.0)#3748.0(+84.0)#2,136
38.70584129.052.0(+77.0)#3848.0(+81.0)#2,208
39.71065125.052.0(+73.0)#3948.0(+77.0)#2,362
40.71327121.052.0(+69.0)#4048.0(+73.0)#2,479
41.70071121.052.0(+69.0)#4148.0(+73.0)#2,485
42.70532121.052.0(+69.0)#4248.0(+73.0)#2,487
43.70466120.052.0(+68.0)#4348.0(+72.0)#2,508
44.71485118.052.0(+66.0)#4448.0(+70.0)#2,596
45.70520117.052.0(+65.0)#4548.0(+69.0)#2,627
46.71334117.052.0(+65.0)#4648.0(+69.0)#2,632
47.70589116.052.0(+64.0)#4748.0(+68.0)#2,679
48.71350114.052.0(+62.0)#4848.0(+66.0)#2,755
49.71459113.052.0(+61.0)#4948.0(+65.0)#2,796
50.70345113.052.0(+61.0)#5048.0(+65.0)#2,797
51.71295111.052.0(+59.0)#5148.0(+63.0)#2,872
52.71038111.052.0(+59.0)#5248.0(+63.0)#2,889
53.71480111.052.0(+59.0)#5348.0(+63.0)#2,907
54.70743111.052.0(+59.0)#5448.0(+63.0)#2,915
55.70471110.052.0(+58.0)#5548.0(+62.0)#2,942
56.70510108.052.0(+56.0)#5648.0(+60.0)#3,045
57.70129106.052.0(+54.0)#5748.0(+58.0)#3,148
58.70710105.052.0(+53.0)#5848.0(+57.0)#3,200
59.70591105.052.0(+53.0)#5948.0(+57.0)#3,205
60.71261105.052.0(+53.0)#6048.0(+57.0)#3,230
61.70769104.052.0(+52.0)#6148.0(+56.0)#3,245
62.70633104.052.0(+52.0)#6248.0(+56.0)#3,259
63.70578101.052.0(+49.0)#6348.0(+53.0)#3,432
64.71403100.052.0(+48.0)#6448.0(+52.0)#3,508
65.71435100.052.0(+48.0)#6548.0(+52.0)#3,509
66.7126998.052.0(+46.0)#6648.0(+50.0)#3,632
67.7130297.052.0(+45.0)#6748.0(+49.0)#3,692
68.7051297.052.0(+45.0)#6848.0(+49.0)#3,701
69.7144995.052.0(+43.0)#6948.0(+47.0)#3,843
70.7104995.052.0(+43.0)#7048.0(+47.0)#3,855
71.7045092.052.0(+40.0)#7148.0(+44.0)#4,074
72.7036491.052.0(+39.0)#7248.0(+43.0)#4,106
73.7052691.052.0(+39.0)#7348.0(+43.0)#4,116
74.7009090.052.0(+38.0)#7448.0(+42.0)#4,236
75.7125990.052.0(+38.0)#7548.0(+42.0)#4,266
76.7130189.052.0(+37.0)#7648.0(+41.0)#4,307
77.7003189.052.0(+37.0)#7748.0(+41.0)#4,374
78.7046088.052.0(+36.0)#7848.0(+40.0)#4,405
79.7037388.052.0(+36.0)#7948.0(+40.0)#4,430
80.7107587.052.0(+35.0)#8048.0(+39.0)#4,535
81.7077787.052.0(+35.0)#8148.0(+39.0)#4,541
82.7134187.052.0(+35.0)#8248.0(+39.0)#4,549
83.7134687.052.0(+35.0)#8348.0(+39.0)#4,555
84.7008087.052.0(+35.0)#8448.0(+39.0)#4,576
85.7007286.052.0(+34.0)#8548.0(+38.0)#4,586
86.7120286.052.0(+34.0)#8648.0(+38.0)#4,593
87.7005885.052.0(+33.0)#8748.0(+37.0)#4,693
88.7054685.052.0(+33.0)#8848.0(+37.0)#4,712
89.7148685.052.0(+33.0)#8948.0(+37.0)#4,745
90.7006785.052.0(+33.0)#9048.0(+37.0)#4,754
91.7057685.052.0(+33.0)#9148.0(+37.0)#4,769
92.7066384.052.0(+32.0)#9248.0(+36.0)#4,795
93.7051784.052.0(+32.0)#9348.0(+36.0)#4,800
94.7012483.052.0(+31.0)#9448.0(+35.0)#4,907
95.7012183.052.0(+31.0)#9548.0(+35.0)#4,923
96.7066883.052.0(+31.0)#9648.0(+35.0)#4,941
97.7135783.052.0(+31.0)#9748.0(+35.0)#4,977
98.7112982.052.0(+30.0)#9848.0(+34.0)#5,036
99.7075581.052.0(+29.0)#9948.0(+33.0)#5,206
100.7073980.052.0(+28.0)#10048.0(+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.