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

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Lowest Birth Rate | All Women
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 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 in Los Angeles

78.0
3.0
Zip Codes with the Fewest Births per 1,000 Women in Los Angeles Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 90089 3.0 48.0 (-45.0)#4 52.0 (-49.0)#73
2. 90028 6.0 48.0 (-42.0)#12 52.0 (-46.0)#236
3. 90024 11.0 48.0 (-37.0)#30 52.0 (-41.0)#764
4. 90068 11.0 48.0 (-37.0)#32 52.0 (-41.0)#771
5. 90046 12.0 48.0 (-36.0)#38 52.0 (-40.0)#903
6. 90077 12.0 48.0 (-36.0)#42 52.0 (-40.0)#936
7. 90021 14.0 48.0 (-34.0)#53 52.0 (-38.0)#1,290
8. 90040 17.0 48.0 (-31.0)#72 52.0 (-35.0)#1,784
9. 90039 21.0 48.0 (-27.0)#107 52.0 (-31.0)#2,570
10. 90038 21.0 48.0 (-27.0)#108 52.0 (-31.0)#2,572
11. 90034 23.0 48.0 (-25.0)#133 52.0 (-29.0)#3,043
12. 90027 23.0 48.0 (-25.0)#134 52.0 (-29.0)#3,047
13. 90007 24.0 48.0 (-24.0)#144 52.0 (-28.0)#3,307
14. 90005 24.0 48.0 (-24.0)#146 52.0 (-28.0)#3,309
15. 90036 24.0 48.0 (-24.0)#147 52.0 (-28.0)#3,310
16. 90015 25.0 48.0 (-23.0)#168 52.0 (-27.0)#3,592
17. 90067 25.0 48.0 (-23.0)#175 52.0 (-27.0)#3,747
18. 90014 26.0 48.0 (-22.0)#181 52.0 (-26.0)#3,930
19. 90013 29.0 48.0 (-19.0)#221 52.0 (-23.0)#4,722
20. 90043 30.0 48.0 (-18.0)#228 52.0 (-22.0)#4,916
21. 90029 32.0 48.0 (-16.0)#272 52.0 (-20.0)#5,542
22. 90063 33.0 48.0 (-15.0)#287 52.0 (-19.0)#5,825
23. 90019 34.0 48.0 (-14.0)#315 52.0 (-18.0)#6,149
24. 90004 35.0 48.0 (-13.0)#340 52.0 (-17.0)#6,473
25. 90016 36.0 48.0 (-12.0)#370 52.0 (-16.0)#6,792
26. 90045 36.0 48.0 (-12.0)#374 52.0 (-16.0)#6,803
27. 90010 37.0 48.0 (-11.0)#411 52.0 (-15.0)#7,334
28. 90006 38.0 48.0 (-10.00)#420 52.0 (-14.0)#7,452
29. 90023 39.0 48.0 (-9.00)#454 52.0 (-13.0)#7,852
30. 90012 39.0 48.0 (-9.00)#456 52.0 (-13.0)#7,865
31. 90020 40.0 48.0 (-8.00)#482 52.0 (-12.0)#8,225
32. 90033 42.0 48.0 (-6.00)#530 52.0 (-10.00)#8,878
33. 90066 43.0 48.0 (-5.00)#561 52.0 (-9.00)#9,237
34. 90048 44.0 48.0 (-4.00)#595 52.0 (-8.00)#9,704
35. 90056 44.0 48.0 (-4.00)#601 52.0 (-8.00)#9,781
36. 90011 46.0 48.0 (-2.00)#629 52.0 (-6.00)#10,292
37. 90031 46.0 48.0 (-2.00)#642 52.0 (-6.00)#10,356
38. 90049 46.0 48.0 (-2.00)#645 52.0 (-6.00)#10,363
39. 90018 47.0 48.0 (-1.000)#666 52.0 (-5.00)#10,695
40. 90017 47.0 48.0 (-1.000)#676 52.0 (-5.00)#10,760
41. 90057 48.0 48.0 (=0.000)#701 52.0 (-4.00)#11,036
42. 90041 48.0 48.0 (=0.000)#712 52.0 (-4.00)#11,097
43. 90042 49.0 48.0 (+1.000)#722 52.0 (-3.00)#11,357
44. 90001 50.0 48.0 (+2.00)#744 52.0 (-2.00)#11,714
45. 90047 50.0 48.0 (+2.00)#747 52.0 (-2.00)#11,721
46. 90061 50.0 48.0 (+2.00)#765 52.0 (-2.00)#11,793
47. 90026 51.0 48.0 (+3.00)#778 52.0 (-1.000)#12,053
48. 90025 51.0 48.0 (+3.00)#783 52.0 (-1.000)#12,085
49. 90003 52.0 48.0 (+4.00)#803 52.0 (=0.000)#12,396
50. 90032 52.0 48.0 (+4.00)#809 52.0 (=0.000)#12,425
51. 90008 53.0 48.0 (+5.00)#841 52.0 (+1.000)#12,785
52. 90044 54.0 48.0 (+6.00)#852 52.0 (+2.00)#13,049
53. 90002 56.0 48.0 (+8.00)#890 52.0 (+4.00)#13,671
54. 90065 56.0 48.0 (+8.00)#891 52.0 (+4.00)#13,679
55. 90035 60.0 48.0 (+12.0)#976 52.0 (+8.00)#14,977
56. 90022 61.0 48.0 (+13.0)#984 52.0 (+9.00)#15,197
57. 90064 65.0 48.0 (+17.0)#1,062 52.0 (+13.0)#16,338
58. 90062 71.0 48.0 (+23.0)#1,132 52.0 (+19.0)#17,700
59. 90037 72.0 48.0 (+24.0)#1,138 52.0 (+20.0)#17,885
60. 90059 78.0 48.0 (+30.0)#1,191 52.0 (+26.0)#18,996

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women in Los Angeles, CA?
Top 10 Zip Codes with the Fewest Births per 1,000 Women in Los Angeles, CA are:
#1
3.0
#2
6.0
#3
11.0
#4
11.0
#5
12.0
#6
12.0
#7
14.0
#8
17.0
#9
21.0
#10
21.0
What zip code has the Fewest Births per 1,000 Women in Los Angeles, CA?
90089 has the Fewest Births per 1,000 Women in Los Angeles, CA with 3.0.
What is the Number of Births per 1,000 Women in Los Angeles, CA?
Number of Births per 1,000 Women in Los Angeles is 42.0.
What is the Number of Births per 1,000 Women in California?
Number of Births per 1,000 Women in California is 48.0.
What is the Number of Births per 1,000 Women in the United States?
Number of Births per 1,000 Women in the United States is 52.0.