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

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Lowest Birth Rate | Below Poverty
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 ElsinoreLakewoodLancasterLivermoreLodiLompocLong 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 Below Poverty Level in Los Angeles

79.0
6.0
Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Los Angeles Map

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

Zip Code Births / 1,000 Women vs State vs National
1. 90028 6.0 49.0 (-43.0)#7 53.0 (-47.0)#208
2. 90068 11.0 49.0 (-38.0)#25 53.0 (-42.0)#712
3. 90046 12.0 49.0 (-37.0)#33 53.0 (-41.0)#835
4. 90077 13.0 49.0 (-36.0)#41 53.0 (-40.0)#1,009
5. 90021 14.0 49.0 (-35.0)#47 53.0 (-39.0)#1,206
6. 90040 17.0 49.0 (-32.0)#68 53.0 (-36.0)#1,686
7. 90024 19.0 49.0 (-30.0)#81 53.0 (-34.0)#1,998
8. 90038 20.0 49.0 (-29.0)#89 53.0 (-33.0)#2,209
9. 90039 21.0 49.0 (-28.0)#100 53.0 (-32.0)#2,439
10. 90027 23.0 49.0 (-26.0)#125 53.0 (-30.0)#2,907
11. 90034 24.0 49.0 (-25.0)#134 53.0 (-29.0)#3,141
12. 90005 24.0 49.0 (-25.0)#136 53.0 (-29.0)#3,150
13. 90036 24.0 49.0 (-25.0)#137 53.0 (-29.0)#3,151
14. 90067 25.0 49.0 (-24.0)#163 53.0 (-28.0)#3,586
15. 90015 26.0 49.0 (-23.0)#168 53.0 (-27.0)#3,701
16. 90014 26.0 49.0 (-23.0)#172 53.0 (-27.0)#3,763
17. 90007 29.0 49.0 (-20.0)#204 53.0 (-24.0)#4,458
18. 90013 29.0 49.0 (-20.0)#210 53.0 (-24.0)#4,534
19. 90043 30.0 49.0 (-19.0)#219 53.0 (-23.0)#4,727
20. 90029 32.0 49.0 (-17.0)#259 53.0 (-21.0)#5,350
21. 90063 33.0 49.0 (-16.0)#275 53.0 (-20.0)#5,608
22. 90019 34.0 49.0 (-15.0)#302 53.0 (-19.0)#5,926
23. 90004 35.0 49.0 (-14.0)#322 53.0 (-18.0)#6,247
24. 90016 36.0 49.0 (-13.0)#351 53.0 (-17.0)#6,559
25. 90010 37.0 49.0 (-12.0)#392 53.0 (-16.0)#7,111
26. 90006 39.0 49.0 (-10.00)#434 53.0 (-14.0)#7,596
27. 90023 40.0 49.0 (-9.00)#455 53.0 (-13.0)#7,962
28. 90012 40.0 49.0 (-9.00)#461 53.0 (-13.0)#7,981
29. 90020 40.0 49.0 (-9.00)#462 53.0 (-13.0)#7,982
30. 90033 42.0 49.0 (-7.00)#513 53.0 (-11.0)#8,627
31. 90045 42.0 49.0 (-7.00)#516 53.0 (-11.0)#8,641
32. 90066 44.0 49.0 (-5.00)#569 53.0 (-9.00)#9,329
33. 90048 44.0 49.0 (-5.00)#581 53.0 (-9.00)#9,465
34. 90056 44.0 49.0 (-5.00)#587 53.0 (-9.00)#9,549
35. 90011 46.0 49.0 (-3.00)#613 53.0 (-7.00)#10,054
36. 90031 46.0 49.0 (-3.00)#625 53.0 (-7.00)#10,118
37. 90018 47.0 49.0 (-2.00)#650 53.0 (-6.00)#10,439
38. 90049 47.0 49.0 (-2.00)#658 53.0 (-6.00)#10,477
39. 90017 47.0 49.0 (-2.00)#662 53.0 (-6.00)#10,514
40. 90042 49.0 49.0 (=0.000)#707 53.0 (-4.00)#11,115
41. 90057 49.0 49.0 (=0.000)#712 53.0 (-4.00)#11,131
42. 90001 50.0 49.0 (+1.000)#729 53.0 (-3.00)#11,478
43. 90047 50.0 49.0 (+1.000)#733 53.0 (-3.00)#11,487
44. 90026 51.0 49.0 (+2.00)#765 53.0 (-2.00)#11,821
45. 90025 51.0 49.0 (+2.00)#770 53.0 (-2.00)#11,850
46. 90061 51.0 49.0 (+2.00)#777 53.0 (-2.00)#11,898
47. 90003 52.0 49.0 (+3.00)#790 53.0 (-1.000)#12,165
48. 90008 53.0 49.0 (+4.00)#823 53.0 (=0.000)#12,539
49. 90044 54.0 49.0 (+5.00)#835 53.0 (+1.000)#12,806
50. 90032 54.0 49.0 (+5.00)#846 53.0 (+1.000)#12,853
51. 90041 54.0 49.0 (+5.00)#849 53.0 (+1.000)#12,901
52. 90002 56.0 49.0 (+7.00)#876 53.0 (+3.00)#13,430
53. 90065 56.0 49.0 (+7.00)#877 53.0 (+3.00)#13,440
54. 90035 60.0 49.0 (+11.0)#961 53.0 (+7.00)#14,741
55. 90022 61.0 49.0 (+12.0)#969 53.0 (+8.00)#14,953
56. 90064 65.0 49.0 (+16.0)#1,051 53.0 (+12.0)#16,128
57. 90062 71.0 49.0 (+22.0)#1,123 53.0 (+18.0)#17,504
58. 90037 72.0 49.0 (+23.0)#1,129 53.0 (+19.0)#17,697
59. 90059 79.0 49.0 (+30.0)#1,196 53.0 (+26.0)#19,006

Common Questions

What are the Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
Top 10 Zip Codes with the Fewest Births per 1,000 Women Below Poverty Level in Los Angeles, CA are:
#1
0.0
#2
6.0
#3
11.0
#4
12.0
#5
13.0
#6
14.0
#7
17.0
#8
19.0
#9
20.0
#10
21.0
What zip code has the Fewest Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
90028 has the Fewest Births per 1,000 Women Below Poverty Level in Los Angeles, CA with 6.0.
What is the Number of Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
Number of Births per 1,000 Women Below Poverty Level in Los Angeles is 43.0.
What is the Number of Births per 1,000 Women Below Poverty Level in California?
Number of Births per 1,000 Women Below Poverty Level in California is 49.0.
What is the Number of Births per 1,000 Women Below Poverty Level in the United States?
Number of Births per 1,000 Women Below Poverty Level in the United States is 53.0.