Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA

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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 AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAlsatianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHonduranHopiHungarianIcelanderIndian (Asian)IndonesianIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsagePaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYaquiYugoslavianYumanZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeZaireZimbabwe
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
Los Angeles
States
California Cities
AlamedaAlhambraAnaheimAntiochApple ValleyArcadiaAuburnBakersfieldBerkeleyBeverly HillsBreaBuena ParkBurbankCamarilloCanoga ParkCanyon CountryCarlsbadCarsonCastro ValleyChicoChinoChula VistaCitrus HeightsClovisComptonConcordCoronaCosta MesaCovinaCulver CityDaly CityDanvilleDavisDesert Hot SpringsDowneyEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa MesaLa PuenteLake ElsinoreLakewoodLancasterLivermoreLodiLompocLong BeachLos AltosLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMonterey ParkMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaRancho CordovaRancho CucamongaReddingRedlandsRedondo BeachRedwood CityRialtoRichmondRiversideRocklinRosevilleSacramentoSalinasSan BernardinoSan ClementeSan DiegoSan FranciscoSan GabrielSan JacintoSan JoseSan LeandroSan Luis ObispoSan MarcosSan MateoSan PedroSan RafaelSan RamonSanta AnaSanta BarbaraSanta ClaraSanta ClaritaSanta CruzSanta MariaSanta MonicaSanta RosaSherman OaksSimi ValleySpring ValleyStocktonSunnyvaleTemeculaThousand OaksTorranceTrabuco CanyonTracyTurlockTustinUplandVacavilleValenciaVallejoVan NuysVenturaVictorvilleVisaliaVistaWalnut CreekWest CovinaWest SacramentoWhittierWoodlandWoodland HillsYorba LindaYuba City
Compare Zip Codes
Comparison Subject

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

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80.0
Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Los Angeles Map

Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA

Zip Code Births / 1,000 Women vs State vs National
1.9005979.049.0(+30.0)#19153.0(+26.0)#6,291
2.9003772.049.0(+23.0)#25353.0(+19.0)#7,551
3.9006271.049.0(+22.0)#27253.0(+18.0)#7,786
4.9006465.049.0(+16.0)#33653.0(+12.0)#9,192
5.9002261.049.0(+12.0)#39953.0(+8.00)#10,197
6.9003560.049.0(+11.0)#43653.0(+7.00)#10,586
7.9000256.049.0(+7.00)#50353.0(+3.00)#11,717
8.9006556.049.0(+7.00)#50453.0(+3.00)#11,727
9.9004454.049.0(+5.00)#53653.0(+1.000)#12,333
10.9003254.049.0(+5.00)#54753.0(+1.000)#12,380
11.9004154.049.0(+5.00)#55053.0(+1.000)#12,428
12.9000853.049.0(+4.00)#56753.0(=0.000)#12,705
13.9000352.049.0(+3.00)#58153.0(-1.000)#12,975
14.9002651.049.0(+2.00)#60253.0(-2.00)#13,297
15.9002551.049.0(+2.00)#60753.0(-2.00)#13,326
16.9006151.049.0(+2.00)#61453.0(-2.00)#13,374
17.9000150.049.0(+1.000)#63053.0(-3.00)#13,656
18.9004750.049.0(+1.000)#63453.0(-3.00)#13,665
19.9004249.049.0(=0.000)#67153.0(-4.00)#14,001
20.9005749.049.0(=0.000)#67653.0(-4.00)#14,017
21.9001847.049.0(-2.00)#72253.0(-6.00)#14,707
22.9004947.049.0(-2.00)#73053.0(-6.00)#14,745
23.9001747.049.0(-2.00)#73453.0(-6.00)#14,782
24.9001146.049.0(-3.00)#74753.0(-7.00)#15,026
25.9003146.049.0(-3.00)#75953.0(-7.00)#15,090
26.9006644.049.0(-5.00)#80953.0(-9.00)#15,752
27.9004844.049.0(-5.00)#82153.0(-9.00)#15,888
28.9005644.049.0(-5.00)#82753.0(-9.00)#15,972
29.9003342.049.0(-7.00)#86153.0(-11.0)#16,512
30.9004542.049.0(-7.00)#86453.0(-11.0)#16,526
31.9002340.049.0(-9.00)#91753.0(-13.0)#17,208
32.9001240.049.0(-9.00)#92353.0(-13.0)#17,227
33.9002040.049.0(-9.00)#92453.0(-13.0)#17,228
34.9000639.049.0(-10.00)#94853.0(-14.0)#17,532
35.9001037.049.0(-12.0)#1,01753.0(-16.0)#18,442
36.9001636.049.0(-13.0)#1,02753.0(-17.0)#18,563
37.9000435.049.0(-14.0)#1,04653.0(-18.0)#18,915
38.9001934.049.0(-15.0)#1,07253.0(-19.0)#19,210
39.9006333.049.0(-16.0)#1,09353.0(-20.0)#19,539
40.9002932.049.0(-17.0)#1,12453.0(-21.0)#19,889
41.9004330.049.0(-19.0)#1,16153.0(-23.0)#20,450
42.9000729.049.0(-20.0)#1,18053.0(-24.0)#20,753
43.9001329.049.0(-20.0)#1,18653.0(-24.0)#20,829
44.9001526.049.0(-23.0)#1,21753.0(-27.0)#21,553
45.9001426.049.0(-23.0)#1,22153.0(-27.0)#21,615
46.9006725.049.0(-24.0)#1,23753.0(-28.0)#21,970
47.9003424.049.0(-25.0)#1,23853.0(-29.0)#22,058
48.9000524.049.0(-25.0)#1,24053.0(-29.0)#22,067
49.9003624.049.0(-25.0)#1,24153.0(-29.0)#22,068
50.9002723.049.0(-26.0)#1,25853.0(-30.0)#22,316
51.9003921.049.0(-28.0)#1,28353.0(-32.0)#22,804
52.9003820.049.0(-29.0)#1,29653.0(-33.0)#23,038
53.9002419.049.0(-30.0)#1,30453.0(-34.0)#23,253
54.9004017.049.0(-32.0)#1,32053.0(-36.0)#23,665
55.9002114.049.0(-35.0)#1,34353.0(-39.0)#24,242
56.9007713.049.0(-36.0)#1,34953.0(-40.0)#24,353
57.9004612.049.0(-37.0)#1,35253.0(-41.0)#24,470
58.9006811.049.0(-38.0)#1,35953.0(-42.0)#24,620
59.900286.049.0(-43.0)#1,38153.0(-47.0)#25,166

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA are:
#1
79.0
#2
72.0
#3
71.0
#4
65.0
#5
61.0
#6
60.0
#7
56.0
#8
56.0
#9
54.0
#10
54.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
90059 has the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA with 79.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
Number of Births per 1,000 Women Below Poverty Level in Los Angeles is 43.0.
What is the Number of Births per 1,000 Women Below Poverty Level in California?
Number of Births per 1,000 Women Below Poverty Level in California is 49.0.
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.