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

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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
1.900282.045.0(-43.0)#148.0(-46.0)#12
2.900898.045.0(-37.0)#2648.0(-40.0)#483
3.900469.045.0(-36.0)#2848.0(-39.0)#549
4.9002410.045.0(-35.0)#3248.0(-38.0)#675
5.9001313.045.0(-32.0)#5348.0(-35.0)#1,205
6.9006814.045.0(-31.0)#5848.0(-34.0)#1,368
7.9004015.045.0(-30.0)#6548.0(-33.0)#1,581
8.9000716.045.0(-29.0)#7048.0(-32.0)#1,732
9.9000516.045.0(-29.0)#7148.0(-32.0)#1,736
10.9001716.045.0(-29.0)#7348.0(-32.0)#1,744
11.9003417.045.0(-28.0)#8148.0(-31.0)#1,924
12.9003317.045.0(-28.0)#8248.0(-31.0)#1,926
13.9003818.045.0(-27.0)#9448.0(-30.0)#2,137
14.9006320.045.0(-25.0)#11348.0(-28.0)#2,546
15.9003620.045.0(-25.0)#11648.0(-28.0)#2,556
16.9007720.045.0(-25.0)#12748.0(-28.0)#2,666
17.9001521.045.0(-24.0)#13848.0(-27.0)#2,841
18.9003922.045.0(-23.0)#15248.0(-26.0)#3,095
19.9000623.045.0(-22.0)#16248.0(-25.0)#3,314
20.9002723.045.0(-22.0)#16348.0(-25.0)#3,322
21.9004823.045.0(-22.0)#17348.0(-25.0)#3,377
22.9001926.045.0(-19.0)#21048.0(-22.0)#4,146
23.9000426.045.0(-19.0)#21148.0(-22.0)#4,147
24.9004326.045.0(-19.0)#21648.0(-22.0)#4,159
25.9001426.045.0(-19.0)#22648.0(-22.0)#4,270
26.9002028.045.0(-17.0)#25648.0(-20.0)#4,757
27.9002928.045.0(-17.0)#25948.0(-20.0)#4,770
28.9001130.045.0(-15.0)#28848.0(-18.0)#5,315
29.9001630.045.0(-15.0)#29648.0(-18.0)#5,340
30.9001231.045.0(-14.0)#31248.0(-17.0)#5,634
31.9006731.045.0(-14.0)#32848.0(-17.0)#5,839
32.9005735.045.0(-10.00)#40648.0(-13.0)#6,893
33.9001035.045.0(-10.00)#41748.0(-13.0)#7,078
34.9006636.045.0(-9.00)#42548.0(-12.0)#7,180
35.9002536.045.0(-9.00)#42748.0(-12.0)#7,191
36.9000338.045.0(-7.00)#47548.0(-10.00)#7,804
37.9004538.045.0(-7.00)#48048.0(-10.00)#7,845
38.9002639.045.0(-6.00)#50248.0(-9.00)#8,154
39.9000139.045.0(-6.00)#50748.0(-9.00)#8,161
40.9002339.045.0(-6.00)#51348.0(-9.00)#8,185
41.9003139.045.0(-6.00)#51448.0(-9.00)#8,209
42.9001841.045.0(-4.00)#56548.0(-7.00)#8,827
43.9004243.045.0(-2.00)#62148.0(-5.00)#9,497
44.9004746.045.0(+1.000)#68848.0(-2.00)#10,481
45.9003246.045.0(+1.000)#69048.0(-2.00)#10,491
46.9004946.045.0(+1.000)#69648.0(-2.00)#10,520
47.9004146.045.0(+1.000)#70048.0(-2.00)#10,549
48.9000247.045.0(+2.00)#70648.0(-1.000)#10,766
49.9005647.045.0(+2.00)#72448.0(-1.000)#10,943
50.9004449.045.0(+4.00)#74348.0(+1.000)#11,359
51.9003549.045.0(+4.00)#76648.0(+1.000)#11,472
52.9006452.045.0(+7.00)#83048.0(+4.00)#12,325
53.9006161.045.0(+16.0)#99048.0(+13.0)#14,610
54.9005962.045.0(+17.0)#99748.0(+14.0)#14,807
55.9006263.045.0(+18.0)#1,01248.0(+15.0)#15,041
56.9006564.045.0(+19.0)#1,02348.0(+16.0)#15,275
57.9000865.045.0(+20.0)#1,03548.0(+17.0)#15,475
58.9002266.045.0(+21.0)#1,04748.0(+18.0)#15,671
59.9003778.045.0(+33.0)#1,13748.0(+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.