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. 90037 78.0 45.0 (+33.0)#159 48.0 (+30.0)#5,469
2. 90022 66.0 45.0 (+21.0)#247 48.0 (+18.0)#7,417
3. 90008 65.0 45.0 (+20.0)#261 48.0 (+17.0)#7,623
4. 90065 64.0 45.0 (+19.0)#276 48.0 (+16.0)#7,833
5. 90062 63.0 45.0 (+18.0)#288 48.0 (+15.0)#8,041
6. 90059 62.0 45.0 (+17.0)#299 48.0 (+14.0)#8,292
7. 90061 61.0 45.0 (+16.0)#314 48.0 (+13.0)#8,529
8. 90064 52.0 45.0 (+7.00)#482 48.0 (+4.00)#10,818
9. 90044 49.0 45.0 (+4.00)#528 48.0 (+1.000)#11,606
10. 90035 49.0 45.0 (+4.00)#551 48.0 (+1.000)#11,719
11. 90002 47.0 45.0 (+2.00)#578 48.0 (-1.000)#12,209
12. 90056 47.0 45.0 (+2.00)#596 48.0 (-1.000)#12,386
13. 90047 46.0 45.0 (+1.000)#601 48.0 (-2.00)#12,525
14. 90032 46.0 45.0 (+1.000)#603 48.0 (-2.00)#12,535
15. 90049 46.0 45.0 (+1.000)#609 48.0 (-2.00)#12,564
16. 90041 46.0 45.0 (+1.000)#613 48.0 (-2.00)#12,593
17. 90042 43.0 45.0 (-2.00)#669 48.0 (-5.00)#13,446
18. 90018 41.0 45.0 (-4.00)#726 48.0 (-7.00)#14,142
19. 90026 39.0 45.0 (-6.00)#773 48.0 (-9.00)#14,808
20. 90001 39.0 45.0 (-6.00)#778 48.0 (-9.00)#14,815
21. 90023 39.0 45.0 (-6.00)#784 48.0 (-9.00)#14,839
22. 90031 39.0 45.0 (-6.00)#785 48.0 (-9.00)#14,863
23. 90003 38.0 45.0 (-7.00)#804 48.0 (-10.00)#15,112
24. 90045 38.0 45.0 (-7.00)#809 48.0 (-10.00)#15,153
25. 90066 36.0 45.0 (-9.00)#862 48.0 (-12.0)#15,810
26. 90025 36.0 45.0 (-9.00)#864 48.0 (-12.0)#15,821
27. 90057 35.0 45.0 (-10.00)#885 48.0 (-13.0)#16,117
28. 90010 35.0 45.0 (-10.00)#896 48.0 (-13.0)#16,302
29. 90012 31.0 45.0 (-14.0)#977 48.0 (-17.0)#17,391
30. 90067 31.0 45.0 (-14.0)#993 48.0 (-17.0)#17,596
31. 90011 30.0 45.0 (-15.0)#994 48.0 (-18.0)#17,657
32. 90016 30.0 45.0 (-15.0)#1,002 48.0 (-18.0)#17,682
33. 90020 28.0 45.0 (-17.0)#1,031 48.0 (-20.0)#18,260
34. 90029 28.0 45.0 (-17.0)#1,034 48.0 (-20.0)#18,273
35. 90019 26.0 45.0 (-19.0)#1,068 48.0 (-22.0)#18,815
36. 90004 26.0 45.0 (-19.0)#1,069 48.0 (-22.0)#18,816
37. 90043 26.0 45.0 (-19.0)#1,074 48.0 (-22.0)#18,828
38. 90014 26.0 45.0 (-19.0)#1,084 48.0 (-22.0)#18,939
39. 90006 23.0 45.0 (-22.0)#1,121 48.0 (-25.0)#19,687
40. 90027 23.0 45.0 (-22.0)#1,122 48.0 (-25.0)#19,695
41. 90048 23.0 45.0 (-22.0)#1,132 48.0 (-25.0)#19,750
42. 90039 22.0 45.0 (-23.0)#1,144 48.0 (-26.0)#19,978
43. 90015 21.0 45.0 (-24.0)#1,161 48.0 (-27.0)#20,238
44. 90063 20.0 45.0 (-25.0)#1,171 48.0 (-28.0)#20,459
45. 90036 20.0 45.0 (-25.0)#1,174 48.0 (-28.0)#20,469
46. 90077 20.0 45.0 (-25.0)#1,185 48.0 (-28.0)#20,579
47. 90038 18.0 45.0 (-27.0)#1,199 48.0 (-30.0)#20,959
48. 90034 17.0 45.0 (-28.0)#1,210 48.0 (-31.0)#21,145
49. 90033 17.0 45.0 (-28.0)#1,211 48.0 (-31.0)#21,147
50. 90007 16.0 45.0 (-29.0)#1,221 48.0 (-32.0)#21,337
51. 90005 16.0 45.0 (-29.0)#1,222 48.0 (-32.0)#21,341
52. 90017 16.0 45.0 (-29.0)#1,224 48.0 (-32.0)#21,349
53. 90040 15.0 45.0 (-30.0)#1,234 48.0 (-33.0)#21,578
54. 90068 14.0 45.0 (-31.0)#1,240 48.0 (-34.0)#21,746
55. 90013 13.0 45.0 (-32.0)#1,248 48.0 (-35.0)#21,957
56. 90024 10.0 45.0 (-35.0)#1,262 48.0 (-38.0)#22,425
57. 90046 9.0 45.0 (-36.0)#1,270 48.0 (-39.0)#22,583
58. 90089 8.0 45.0 (-37.0)#1,282 48.0 (-40.0)#22,782
59. 90028 2.0 45.0 (-43.0)#1,300 48.0 (-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.