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

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Lowest 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 Lowest Births per 1,000 Women in Labor Force in Los Angeles

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 90028 2.0 45.0 (-43.0)#1 48.0 (-46.0)#12
2. 90089 8.0 45.0 (-37.0)#26 48.0 (-40.0)#483
3. 90046 9.0 45.0 (-36.0)#28 48.0 (-39.0)#549
4. 90024 10.0 45.0 (-35.0)#32 48.0 (-38.0)#675
5. 90013 13.0 45.0 (-32.0)#53 48.0 (-35.0)#1,205
6. 90068 14.0 45.0 (-31.0)#58 48.0 (-34.0)#1,368
7. 90040 15.0 45.0 (-30.0)#65 48.0 (-33.0)#1,581
8. 90007 16.0 45.0 (-29.0)#70 48.0 (-32.0)#1,732
9. 90005 16.0 45.0 (-29.0)#71 48.0 (-32.0)#1,736
10. 90017 16.0 45.0 (-29.0)#73 48.0 (-32.0)#1,744
11. 90034 17.0 45.0 (-28.0)#81 48.0 (-31.0)#1,924
12. 90033 17.0 45.0 (-28.0)#82 48.0 (-31.0)#1,926
13. 90038 18.0 45.0 (-27.0)#94 48.0 (-30.0)#2,137
14. 90063 20.0 45.0 (-25.0)#113 48.0 (-28.0)#2,546
15. 90036 20.0 45.0 (-25.0)#116 48.0 (-28.0)#2,556
16. 90077 20.0 45.0 (-25.0)#127 48.0 (-28.0)#2,666
17. 90015 21.0 45.0 (-24.0)#138 48.0 (-27.0)#2,841
18. 90039 22.0 45.0 (-23.0)#152 48.0 (-26.0)#3,095
19. 90006 23.0 45.0 (-22.0)#162 48.0 (-25.0)#3,314
20. 90027 23.0 45.0 (-22.0)#163 48.0 (-25.0)#3,322
21. 90048 23.0 45.0 (-22.0)#173 48.0 (-25.0)#3,377
22. 90019 26.0 45.0 (-19.0)#210 48.0 (-22.0)#4,146
23. 90004 26.0 45.0 (-19.0)#211 48.0 (-22.0)#4,147
24. 90043 26.0 45.0 (-19.0)#216 48.0 (-22.0)#4,159
25. 90014 26.0 45.0 (-19.0)#226 48.0 (-22.0)#4,270
26. 90020 28.0 45.0 (-17.0)#256 48.0 (-20.0)#4,757
27. 90029 28.0 45.0 (-17.0)#259 48.0 (-20.0)#4,770
28. 90011 30.0 45.0 (-15.0)#288 48.0 (-18.0)#5,315
29. 90016 30.0 45.0 (-15.0)#296 48.0 (-18.0)#5,340
30. 90012 31.0 45.0 (-14.0)#312 48.0 (-17.0)#5,634
31. 90067 31.0 45.0 (-14.0)#328 48.0 (-17.0)#5,839
32. 90057 35.0 45.0 (-10.00)#406 48.0 (-13.0)#6,893
33. 90010 35.0 45.0 (-10.00)#417 48.0 (-13.0)#7,078
34. 90066 36.0 45.0 (-9.00)#425 48.0 (-12.0)#7,180
35. 90025 36.0 45.0 (-9.00)#427 48.0 (-12.0)#7,191
36. 90003 38.0 45.0 (-7.00)#475 48.0 (-10.00)#7,804
37. 90045 38.0 45.0 (-7.00)#480 48.0 (-10.00)#7,845
38. 90026 39.0 45.0 (-6.00)#502 48.0 (-9.00)#8,154
39. 90001 39.0 45.0 (-6.00)#507 48.0 (-9.00)#8,161
40. 90023 39.0 45.0 (-6.00)#513 48.0 (-9.00)#8,185
41. 90031 39.0 45.0 (-6.00)#514 48.0 (-9.00)#8,209
42. 90018 41.0 45.0 (-4.00)#565 48.0 (-7.00)#8,827
43. 90042 43.0 45.0 (-2.00)#621 48.0 (-5.00)#9,497
44. 90047 46.0 45.0 (+1.000)#688 48.0 (-2.00)#10,481
45. 90032 46.0 45.0 (+1.000)#690 48.0 (-2.00)#10,491
46. 90049 46.0 45.0 (+1.000)#696 48.0 (-2.00)#10,520
47. 90041 46.0 45.0 (+1.000)#700 48.0 (-2.00)#10,549
48. 90002 47.0 45.0 (+2.00)#706 48.0 (-1.000)#10,766
49. 90056 47.0 45.0 (+2.00)#724 48.0 (-1.000)#10,943
50. 90044 49.0 45.0 (+4.00)#743 48.0 (+1.000)#11,359
51. 90035 49.0 45.0 (+4.00)#766 48.0 (+1.000)#11,472
52. 90064 52.0 45.0 (+7.00)#830 48.0 (+4.00)#12,325
53. 90061 61.0 45.0 (+16.0)#990 48.0 (+13.0)#14,610
54. 90059 62.0 45.0 (+17.0)#997 48.0 (+14.0)#14,807
55. 90062 63.0 45.0 (+18.0)#1,012 48.0 (+15.0)#15,041
56. 90065 64.0 45.0 (+19.0)#1,023 48.0 (+16.0)#15,275
57. 90008 65.0 45.0 (+20.0)#1,035 48.0 (+17.0)#15,475
58. 90022 66.0 45.0 (+21.0)#1,047 48.0 (+18.0)#15,671
59. 90037 78.0 45.0 (+33.0)#1,137 48.0 (+30.0)#17,651

Common Questions

What are the Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Los Angeles, CA?
Top 10 Zip Codes with the Lowest Births per 1,000 Women in Labor Force in Los Angeles, CA are:
#1
0.0
#2
2.0
#3
8.0
#4
9.0
#5
10.0
#6
13.0
#7
14.0
#8
15.0
#9
16.0
#10
16.0
What zip code has the Lowest Births per 1,000 Women in Labor Force in Los Angeles, CA?
90028 has the Lowest Births per 1,000 Women in Labor Force in Los Angeles, CA with 2.0.
What is the Number Births per 1,000 Women in Labor Force in Los Angeles, CA?
Number Births per 1,000 Women in Labor Force in Los Angeles is 36.0.
What is the Number Births per 1,000 Women in Labor Force in California?
Number Births per 1,000 Women in Labor Force in California is 45.0.
What is the Number Births per 1,000 Women in Labor Force in the United States?
Number Births per 1,000 Women in Labor Force in the United States is 48.0.