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

RELATED REPORTS & OPTIONS

Highest 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 Most Births per 1,000 Women Below Poverty Level in Los Angeles

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

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

Zip Code Births / 1,000 Women vs State vs National
1. 90059 79.0 49.0 (+30.0)#191 53.0 (+26.0)#6,291
2. 90037 72.0 49.0 (+23.0)#253 53.0 (+19.0)#7,551
3. 90062 71.0 49.0 (+22.0)#272 53.0 (+18.0)#7,786
4. 90064 65.0 49.0 (+16.0)#336 53.0 (+12.0)#9,192
5. 90022 61.0 49.0 (+12.0)#399 53.0 (+8.00)#10,197
6. 90035 60.0 49.0 (+11.0)#436 53.0 (+7.00)#10,586
7. 90002 56.0 49.0 (+7.00)#503 53.0 (+3.00)#11,717
8. 90065 56.0 49.0 (+7.00)#504 53.0 (+3.00)#11,727
9. 90044 54.0 49.0 (+5.00)#536 53.0 (+1.000)#12,333
10. 90032 54.0 49.0 (+5.00)#547 53.0 (+1.000)#12,380
11. 90041 54.0 49.0 (+5.00)#550 53.0 (+1.000)#12,428
12. 90008 53.0 49.0 (+4.00)#567 53.0 (=0.000)#12,705
13. 90003 52.0 49.0 (+3.00)#581 53.0 (-1.000)#12,975
14. 90026 51.0 49.0 (+2.00)#602 53.0 (-2.00)#13,297
15. 90025 51.0 49.0 (+2.00)#607 53.0 (-2.00)#13,326
16. 90061 51.0 49.0 (+2.00)#614 53.0 (-2.00)#13,374
17. 90001 50.0 49.0 (+1.000)#630 53.0 (-3.00)#13,656
18. 90047 50.0 49.0 (+1.000)#634 53.0 (-3.00)#13,665
19. 90042 49.0 49.0 (=0.000)#671 53.0 (-4.00)#14,001
20. 90057 49.0 49.0 (=0.000)#676 53.0 (-4.00)#14,017
21. 90018 47.0 49.0 (-2.00)#722 53.0 (-6.00)#14,707
22. 90049 47.0 49.0 (-2.00)#730 53.0 (-6.00)#14,745
23. 90017 47.0 49.0 (-2.00)#734 53.0 (-6.00)#14,782
24. 90011 46.0 49.0 (-3.00)#747 53.0 (-7.00)#15,026
25. 90031 46.0 49.0 (-3.00)#759 53.0 (-7.00)#15,090
26. 90066 44.0 49.0 (-5.00)#809 53.0 (-9.00)#15,752
27. 90048 44.0 49.0 (-5.00)#821 53.0 (-9.00)#15,888
28. 90056 44.0 49.0 (-5.00)#827 53.0 (-9.00)#15,972
29. 90033 42.0 49.0 (-7.00)#861 53.0 (-11.0)#16,512
30. 90045 42.0 49.0 (-7.00)#864 53.0 (-11.0)#16,526
31. 90023 40.0 49.0 (-9.00)#917 53.0 (-13.0)#17,208
32. 90012 40.0 49.0 (-9.00)#923 53.0 (-13.0)#17,227
33. 90020 40.0 49.0 (-9.00)#924 53.0 (-13.0)#17,228
34. 90006 39.0 49.0 (-10.00)#948 53.0 (-14.0)#17,532
35. 90010 37.0 49.0 (-12.0)#1,017 53.0 (-16.0)#18,442
36. 90016 36.0 49.0 (-13.0)#1,027 53.0 (-17.0)#18,563
37. 90004 35.0 49.0 (-14.0)#1,046 53.0 (-18.0)#18,915
38. 90019 34.0 49.0 (-15.0)#1,072 53.0 (-19.0)#19,210
39. 90063 33.0 49.0 (-16.0)#1,093 53.0 (-20.0)#19,539
40. 90029 32.0 49.0 (-17.0)#1,124 53.0 (-21.0)#19,889
41. 90043 30.0 49.0 (-19.0)#1,161 53.0 (-23.0)#20,450
42. 90007 29.0 49.0 (-20.0)#1,180 53.0 (-24.0)#20,753
43. 90013 29.0 49.0 (-20.0)#1,186 53.0 (-24.0)#20,829
44. 90015 26.0 49.0 (-23.0)#1,217 53.0 (-27.0)#21,553
45. 90014 26.0 49.0 (-23.0)#1,221 53.0 (-27.0)#21,615
46. 90067 25.0 49.0 (-24.0)#1,237 53.0 (-28.0)#21,970
47. 90034 24.0 49.0 (-25.0)#1,238 53.0 (-29.0)#22,058
48. 90005 24.0 49.0 (-25.0)#1,240 53.0 (-29.0)#22,067
49. 90036 24.0 49.0 (-25.0)#1,241 53.0 (-29.0)#22,068
50. 90027 23.0 49.0 (-26.0)#1,258 53.0 (-30.0)#22,316
51. 90039 21.0 49.0 (-28.0)#1,283 53.0 (-32.0)#22,804
52. 90038 20.0 49.0 (-29.0)#1,296 53.0 (-33.0)#23,038
53. 90024 19.0 49.0 (-30.0)#1,304 53.0 (-34.0)#23,253
54. 90040 17.0 49.0 (-32.0)#1,320 53.0 (-36.0)#23,665
55. 90021 14.0 49.0 (-35.0)#1,343 53.0 (-39.0)#24,242
56. 90077 13.0 49.0 (-36.0)#1,349 53.0 (-40.0)#24,353
57. 90046 12.0 49.0 (-37.0)#1,352 53.0 (-41.0)#24,470
58. 90068 11.0 49.0 (-38.0)#1,359 53.0 (-42.0)#24,620
59. 90028 6.0 49.0 (-43.0)#1,381 53.0 (-47.0)#25,166

Common Questions

What are the Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
Top 10 Zip Codes with the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA are:
#1
79.0
#2
72.0
#3
71.0
#4
65.0
#5
61.0
#6
60.0
#7
56.0
#8
56.0
#9
54.0
#10
54.0
What zip code has the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA?
90059 has the Most Births per 1,000 Women Below Poverty Level in Los Angeles, CA with 79.0.
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.