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

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Lowest 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 Fewest Births per 1,000 Women Below Poverty Level in Los Angeles

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

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

Zip Code Births / 1,000 Women vs State vs National
1.900286.049.0(-43.0)#753.0(-47.0)#208
2.9006811.049.0(-38.0)#2553.0(-42.0)#712
3.9004612.049.0(-37.0)#3353.0(-41.0)#835
4.9007713.049.0(-36.0)#4153.0(-40.0)#1,009
5.9002114.049.0(-35.0)#4753.0(-39.0)#1,206
6.9004017.049.0(-32.0)#6853.0(-36.0)#1,686
7.9002419.049.0(-30.0)#8153.0(-34.0)#1,998
8.9003820.049.0(-29.0)#8953.0(-33.0)#2,209
9.9003921.049.0(-28.0)#10053.0(-32.0)#2,439
10.9002723.049.0(-26.0)#12553.0(-30.0)#2,907
11.9003424.049.0(-25.0)#13453.0(-29.0)#3,141
12.9000524.049.0(-25.0)#13653.0(-29.0)#3,150
13.9003624.049.0(-25.0)#13753.0(-29.0)#3,151
14.9006725.049.0(-24.0)#16353.0(-28.0)#3,586
15.9001526.049.0(-23.0)#16853.0(-27.0)#3,701
16.9001426.049.0(-23.0)#17253.0(-27.0)#3,763
17.9000729.049.0(-20.0)#20453.0(-24.0)#4,458
18.9001329.049.0(-20.0)#21053.0(-24.0)#4,534
19.9004330.049.0(-19.0)#21953.0(-23.0)#4,727
20.9002932.049.0(-17.0)#25953.0(-21.0)#5,350
21.9006333.049.0(-16.0)#27553.0(-20.0)#5,608
22.9001934.049.0(-15.0)#30253.0(-19.0)#5,926
23.9000435.049.0(-14.0)#32253.0(-18.0)#6,247
24.9001636.049.0(-13.0)#35153.0(-17.0)#6,559
25.9001037.049.0(-12.0)#39253.0(-16.0)#7,111
26.9000639.049.0(-10.00)#43453.0(-14.0)#7,596
27.9002340.049.0(-9.00)#45553.0(-13.0)#7,962
28.9001240.049.0(-9.00)#46153.0(-13.0)#7,981
29.9002040.049.0(-9.00)#46253.0(-13.0)#7,982
30.9003342.049.0(-7.00)#51353.0(-11.0)#8,627
31.9004542.049.0(-7.00)#51653.0(-11.0)#8,641
32.9006644.049.0(-5.00)#56953.0(-9.00)#9,329
33.9004844.049.0(-5.00)#58153.0(-9.00)#9,465
34.9005644.049.0(-5.00)#58753.0(-9.00)#9,549
35.9001146.049.0(-3.00)#61353.0(-7.00)#10,054
36.9003146.049.0(-3.00)#62553.0(-7.00)#10,118
37.9001847.049.0(-2.00)#65053.0(-6.00)#10,439
38.9004947.049.0(-2.00)#65853.0(-6.00)#10,477
39.9001747.049.0(-2.00)#66253.0(-6.00)#10,514
40.9004249.049.0(=0.000)#70753.0(-4.00)#11,115
41.9005749.049.0(=0.000)#71253.0(-4.00)#11,131
42.9000150.049.0(+1.000)#72953.0(-3.00)#11,478
43.9004750.049.0(+1.000)#73353.0(-3.00)#11,487
44.9002651.049.0(+2.00)#76553.0(-2.00)#11,821
45.9002551.049.0(+2.00)#77053.0(-2.00)#11,850
46.9006151.049.0(+2.00)#77753.0(-2.00)#11,898
47.9000352.049.0(+3.00)#79053.0(-1.000)#12,165
48.9000853.049.0(+4.00)#82353.0(=0.000)#12,539
49.9004454.049.0(+5.00)#83553.0(+1.000)#12,806
50.9003254.049.0(+5.00)#84653.0(+1.000)#12,853
51.9004154.049.0(+5.00)#84953.0(+1.000)#12,901
52.9000256.049.0(+7.00)#87653.0(+3.00)#13,430
53.9006556.049.0(+7.00)#87753.0(+3.00)#13,440
54.9003560.049.0(+11.0)#96153.0(+7.00)#14,741
55.9002261.049.0(+12.0)#96953.0(+8.00)#14,953
56.9006465.049.0(+16.0)#1,05153.0(+12.0)#16,128
57.9006271.049.0(+22.0)#1,12353.0(+18.0)#17,504
58.9003772.049.0(+23.0)#1,12953.0(+19.0)#17,697
59.9005979.049.0(+30.0)#1,19653.0(+26.0)#19,006

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Los Angeles, CA are:
#1
0.0
#2
6.0
#3
11.0
#4
12.0
#5
13.0
#6
14.0
#7
17.0
#8
19.0
#9
20.0
#10
21.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
90028 has the Fewest Births per 1,000 Women Below Poverty Level in Los Angeles, CA with 6.0.
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.