Zip Codes with the Most Births per 1,000 Women in Labor Force in Los Angeles, CA

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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 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 ElsinoreLakewoodLancasterLemooreLivermoreLodiLompocLong 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 OaksTorranceTracyTurlockTustinUplandVacavilleValenciaVallejoVan NuysVenturaVictorvilleVisaliaVistaWalnut CreekWest CovinaWest SacramentoWhittierWoodlandWoodland HillsYorba LindaYuba City
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Most Births per 1,000 Women in Labor Force in Los Angeles

2.0
78.0
Zip Codes with the Most Births per 1,000 Women in Labor Force in Los Angeles Map

Zip Codes with the Most Births per 1,000 Women in Labor Force in Los Angeles, CA

Zip Code Births / 1,000 Women vs State vs National
1.9003778.045.0(+33.0)#15948.0(+30.0)#5,469
2.9002266.045.0(+21.0)#24748.0(+18.0)#7,417
3.9000865.045.0(+20.0)#26148.0(+17.0)#7,623
4.9006564.045.0(+19.0)#27648.0(+16.0)#7,833
5.9006263.045.0(+18.0)#28848.0(+15.0)#8,041
6.9005962.045.0(+17.0)#29948.0(+14.0)#8,292
7.9006161.045.0(+16.0)#31448.0(+13.0)#8,529
8.9006452.045.0(+7.00)#48248.0(+4.00)#10,818
9.9004449.045.0(+4.00)#52848.0(+1.000)#11,606
10.9003549.045.0(+4.00)#55148.0(+1.000)#11,719
11.9000247.045.0(+2.00)#57848.0(-1.000)#12,209
12.9005647.045.0(+2.00)#59648.0(-1.000)#12,386
13.9004746.045.0(+1.000)#60148.0(-2.00)#12,525
14.9003246.045.0(+1.000)#60348.0(-2.00)#12,535
15.9004946.045.0(+1.000)#60948.0(-2.00)#12,564
16.9004146.045.0(+1.000)#61348.0(-2.00)#12,593
17.9004243.045.0(-2.00)#66948.0(-5.00)#13,446
18.9001841.045.0(-4.00)#72648.0(-7.00)#14,142
19.9002639.045.0(-6.00)#77348.0(-9.00)#14,808
20.9000139.045.0(-6.00)#77848.0(-9.00)#14,815
21.9002339.045.0(-6.00)#78448.0(-9.00)#14,839
22.9003139.045.0(-6.00)#78548.0(-9.00)#14,863
23.9000338.045.0(-7.00)#80448.0(-10.00)#15,112
24.9004538.045.0(-7.00)#80948.0(-10.00)#15,153
25.9006636.045.0(-9.00)#86248.0(-12.0)#15,810
26.9002536.045.0(-9.00)#86448.0(-12.0)#15,821
27.9005735.045.0(-10.00)#88548.0(-13.0)#16,117
28.9001035.045.0(-10.00)#89648.0(-13.0)#16,302
29.9001231.045.0(-14.0)#97748.0(-17.0)#17,391
30.9006731.045.0(-14.0)#99348.0(-17.0)#17,596
31.9001130.045.0(-15.0)#99448.0(-18.0)#17,657
32.9001630.045.0(-15.0)#1,00248.0(-18.0)#17,682
33.9002028.045.0(-17.0)#1,03148.0(-20.0)#18,260
34.9002928.045.0(-17.0)#1,03448.0(-20.0)#18,273
35.9001926.045.0(-19.0)#1,06848.0(-22.0)#18,815
36.9000426.045.0(-19.0)#1,06948.0(-22.0)#18,816
37.9004326.045.0(-19.0)#1,07448.0(-22.0)#18,828
38.9001426.045.0(-19.0)#1,08448.0(-22.0)#18,939
39.9000623.045.0(-22.0)#1,12148.0(-25.0)#19,687
40.9002723.045.0(-22.0)#1,12248.0(-25.0)#19,695
41.9004823.045.0(-22.0)#1,13248.0(-25.0)#19,750
42.9003922.045.0(-23.0)#1,14448.0(-26.0)#19,978
43.9001521.045.0(-24.0)#1,16148.0(-27.0)#20,238
44.9006320.045.0(-25.0)#1,17148.0(-28.0)#20,459
45.9003620.045.0(-25.0)#1,17448.0(-28.0)#20,469
46.9007720.045.0(-25.0)#1,18548.0(-28.0)#20,579
47.9003818.045.0(-27.0)#1,19948.0(-30.0)#20,959
48.9003417.045.0(-28.0)#1,21048.0(-31.0)#21,145
49.9003317.045.0(-28.0)#1,21148.0(-31.0)#21,147
50.9000716.045.0(-29.0)#1,22148.0(-32.0)#21,337
51.9000516.045.0(-29.0)#1,22248.0(-32.0)#21,341
52.9001716.045.0(-29.0)#1,22448.0(-32.0)#21,349
53.9004015.045.0(-30.0)#1,23448.0(-33.0)#21,578
54.9006814.045.0(-31.0)#1,24048.0(-34.0)#21,746
55.9001313.045.0(-32.0)#1,24848.0(-35.0)#21,957
56.9002410.045.0(-35.0)#1,26248.0(-38.0)#22,425
57.900469.045.0(-36.0)#1,27048.0(-39.0)#22,583
58.900898.045.0(-37.0)#1,28248.0(-40.0)#22,782
59.900282.045.0(-43.0)#1,30048.0(-46.0)#23,221

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Los Angeles, CA?
Top 10 Zip Codes with the Most Births per 1,000 Women in Labor Force in Los Angeles, CA are:
#1
78.0
#2
66.0
#3
65.0
#4
64.0
#5
63.0
#6
62.0
#7
61.0
#8
52.0
#9
49.0
#10
49.0
What zip code has the Most Births per 1,000 Women in Labor Force in Los Angeles, CA?
90037 has the Most Births per 1,000 Women in Labor Force in Los Angeles, CA with 78.0.
What is the Number of Births per 1,000 Women in Labor Force in Los Angeles, CA?
Number of Births per 1,000 Women in Labor Force in Los Angeles is 36.0.
What is the Number of Births per 1,000 Women in Labor Force in California?
Number of Births per 1,000 Women in Labor Force in California is 45.0.
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.