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
1.704641,000.057.0(+943)#153.0(+947)#23
2.70736675.057.0(+618)#253.0(+622)#99
3.71450554.057.0(+497)#353.0(+501)#143
4.71426500.057.0(+443)#453.0(+447)#171
5.70637487.057.0(+430)#553.0(+434)#186
6.71233484.057.0(+427)#653.0(+431)#190
7.71326480.057.0(+423)#753.0(+427)#191
8.71242455.057.0(+398)#853.0(+402)#213
9.70749398.057.0(+341)#953.0(+345)#264
10.71333378.057.0(+321)#1053.0(+325)#288
11.71414368.057.0(+311)#1153.0(+315)#306
12.70645294.057.0(+237)#1253.0(+241)#472
13.71415286.057.0(+229)#1353.0(+233)#502
14.71256283.057.0(+226)#1453.0(+230)#515
15.70466266.057.0(+209)#1553.0(+213)#582
16.71024257.057.0(+200)#1653.0(+204)#620
17.71322251.057.0(+194)#1753.0(+198)#642
18.71366250.057.0(+193)#1853.0(+197)#644
19.70755240.057.0(+183)#1953.0(+187)#712
20.70585233.057.0(+176)#2053.0(+180)#753
21.71438216.057.0(+159)#2153.0(+163)#855
22.71354206.057.0(+149)#2253.0(+153)#916
23.70756205.057.0(+148)#2353.0(+152)#923
24.71073193.057.0(+136)#2453.0(+140)#1,065
25.70465192.057.0(+135)#2553.0(+139)#1,074
26.71407191.057.0(+134)#2653.0(+138)#1,085
27.70723180.057.0(+123)#2753.0(+127)#1,212
28.70655174.057.0(+117)#2853.0(+121)#1,292
29.71357174.057.0(+117)#2953.0(+121)#1,299
30.70660169.057.0(+112)#3053.0(+116)#1,381
31.71459166.057.0(+109)#3153.0(+113)#1,457
32.70455163.057.0(+106)#3253.0(+110)#1,495
33.70450158.057.0(+101)#3353.0(+105)#1,592
34.70346157.057.0(+100.0)#3453.0(+104)#1,607
35.70711157.057.0(+100.0)#3553.0(+104)#1,609
36.70668152.057.0(+95.0)#3653.0(+99.0)#1,696
37.71260149.057.0(+92.0)#3753.0(+96.0)#1,767
38.70783149.057.0(+92.0)#3853.0(+96.0)#1,768
39.71247140.057.0(+83.0)#3953.0(+87.0)#1,994
40.70354138.057.0(+81.0)#4053.0(+85.0)#2,049
41.71353137.057.0(+80.0)#4153.0(+84.0)#2,092
42.71254136.057.0(+79.0)#4253.0(+83.0)#2,113
43.71327135.057.0(+78.0)#4353.0(+82.0)#2,149
44.71061127.057.0(+70.0)#4453.0(+74.0)#2,449
45.71454125.057.0(+68.0)#4553.0(+72.0)#2,525
46.71341123.057.0(+66.0)#4653.0(+70.0)#2,611
47.70373120.057.0(+63.0)#4753.0(+67.0)#2,739
48.71033119.057.0(+62.0)#4853.0(+66.0)#2,774
49.71480119.057.0(+62.0)#4953.0(+66.0)#2,787
50.70520118.057.0(+61.0)#5053.0(+65.0)#2,807
51.71027116.057.0(+59.0)#5153.0(+63.0)#2,942
52.70129115.057.0(+58.0)#5253.0(+62.0)#2,966
53.70510113.057.0(+56.0)#5353.0(+60.0)#3,067
54.71269112.057.0(+55.0)#5453.0(+59.0)#3,124
55.70712110.057.0(+53.0)#5553.0(+57.0)#3,273
56.70589110.057.0(+53.0)#5653.0(+57.0)#3,277
57.71467109.057.0(+52.0)#5753.0(+56.0)#3,318
58.71323109.057.0(+52.0)#5853.0(+56.0)#3,338
59.71065109.057.0(+52.0)#5953.0(+56.0)#3,342
60.71334108.057.0(+51.0)#6053.0(+55.0)#3,375
61.71340108.057.0(+51.0)#6153.0(+55.0)#3,405
62.70760107.057.0(+50.0)#6253.0(+54.0)#3,438
63.70532107.057.0(+50.0)#6353.0(+54.0)#3,456
64.71052105.057.0(+48.0)#6453.0(+52.0)#3,582
65.70584105.057.0(+48.0)#6553.0(+52.0)#3,586
66.71295104.057.0(+47.0)#6653.0(+51.0)#3,642
67.71418104.057.0(+47.0)#6753.0(+51.0)#3,660
68.70056103.057.0(+46.0)#6853.0(+50.0)#3,701
69.70788103.057.0(+46.0)#6953.0(+50.0)#3,733
70.70345102.057.0(+45.0)#7053.0(+49.0)#3,801
71.7077798.057.0(+41.0)#7153.0(+45.0)#4,130
72.7101898.057.0(+41.0)#7253.0(+45.0)#4,152
73.7035898.057.0(+41.0)#7353.0(+45.0)#4,159
74.7000197.057.0(+40.0)#7453.0(+44.0)#4,185
75.7135197.057.0(+40.0)#7553.0(+44.0)#4,202
76.7036396.057.0(+39.0)#7653.0(+43.0)#4,288
77.7104096.057.0(+39.0)#7753.0(+43.0)#4,311
78.7107595.057.0(+38.0)#7853.0(+42.0)#4,408
79.7051695.057.0(+38.0)#7953.0(+42.0)#4,454
80.7081094.057.0(+37.0)#8053.0(+41.0)#4,476
81.7140494.057.0(+37.0)#8153.0(+41.0)#4,550
82.7005893.057.0(+36.0)#8253.0(+40.0)#4,564
83.7076992.057.0(+35.0)#8353.0(+39.0)#4,650
84.7081492.057.0(+35.0)#8453.0(+39.0)#4,670
85.7065791.057.0(+34.0)#8553.0(+38.0)#4,787
86.7140391.057.0(+34.0)#8653.0(+38.0)#4,794
87.7104991.057.0(+34.0)#8753.0(+38.0)#4,798
88.7134691.057.0(+34.0)#8853.0(+38.0)#4,812
89.7054191.057.0(+34.0)#8953.0(+38.0)#4,831
90.7057889.057.0(+32.0)#9053.0(+36.0)#4,971
91.7051289.057.0(+32.0)#9153.0(+36.0)#4,982
92.7065689.057.0(+32.0)#9253.0(+36.0)#5,010
93.7037488.057.0(+31.0)#9353.0(+35.0)#5,096
94.7125988.057.0(+31.0)#9453.0(+35.0)#5,134
95.7074388.057.0(+31.0)#9553.0(+35.0)#5,155
96.7054687.057.0(+30.0)#9653.0(+34.0)#5,205
97.7112987.057.0(+30.0)#9753.0(+34.0)#5,209
98.7012187.057.0(+30.0)#9853.0(+34.0)#5,215
99.7063387.057.0(+30.0)#9953.0(+34.0)#5,226
100.7009087.057.0(+30.0)#10053.0(+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.