Zip Codes with the Lowest Female Poverty Level in Los Angeles, CA

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Lowest Poverty | Female
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 SpringsDowneyDuarteEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa MesaLa PuenteLake ElsinoreLakewoodLancasterLivermoreLodiLoma LindaLompocLong BeachLos AltosLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMontereyMonterey ParkMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaPortervilleRancho CordovaRancho CucamongaRancho Santa FeReddingRedlandsRedondo 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 Lowest Female Poverty Level in Los Angeles

100.0%
0.0%
Zip Codes with the Lowest Female Poverty Level in Los Angeles Map

Zip Codes with the Lowest Female Poverty Level in Los Angeles, CA

Zip Code Female Poverty vs State vs National
1.900775.9%13.2%(-7.25)#19913.7%(-7.77)#5,412
2.900497.0%13.2%(-6.14)#32513.7%(-6.66)#7,203
3.900667.1%13.2%(-6.07)#33213.7%(-6.59)#7,302
4.900648.2%13.2%(-4.97)#45013.7%(-5.49)#9,036
5.900348.5%13.2%(-4.66)#47813.7%(-5.18)#9,521
6.900568.6%13.2%(-4.61)#48813.7%(-5.13)#9,615
7.900458.6%13.2%(-4.58)#49013.7%(-5.10)#9,666
8.900358.6%13.2%(-4.56)#49313.7%(-5.08)#9,711
9.900678.9%13.2%(-4.31)#51513.7%(-4.83)#10,111
10.900109.7%13.2%(-3.48)#61413.7%(-4.00)#11,455
11.900399.7%13.2%(-3.48)#61513.7%(-4.00)#11,468
12.9004211.1%13.2%(-2.04)#73713.7%(-2.56)#13,574
13.9003611.6%13.2%(-1.58)#78213.7%(-2.10)#14,278
14.9004111.7%13.2%(-1.49)#78813.7%(-2.01)#14,406
15.9004812.0%13.2%(-1.17)#82113.7%(-1.69)#14,855
16.9002512.6%13.2%(-0.594)#85813.7%(-1.11)#15,606
17.9006812.8%13.2%(-0.415)#86813.7%(-0.934)#15,835
18.9004613.4%13.2%(+0.182)#91013.7%(-0.338)#16,647
19.9006515.1%13.2%(+1.95)#1,01513.7%(+1.43)#18,777
20.9004015.5%13.2%(+2.36)#1,03513.7%(+1.84)#19,222
21.9002715.7%13.2%(+2.53)#1,04513.7%(+2.02)#19,413
22.9004315.8%13.2%(+2.64)#1,05213.7%(+2.12)#19,509
23.9003216.1%13.2%(+2.89)#1,07213.7%(+2.37)#19,805
24.9006217.2%13.2%(+3.99)#1,12113.7%(+3.47)#20,903
25.9001617.9%13.2%(+4.76)#1,15213.7%(+4.24)#21,589
26.9002018.7%13.2%(+5.50)#1,18513.7%(+4.98)#22,211
27.9000818.8%13.2%(+5.62)#1,19513.7%(+5.10)#22,312
28.9002218.8%13.2%(+5.64)#1,19713.7%(+5.13)#22,339
29.9006319.2%13.2%(+5.99)#1,21513.7%(+5.47)#22,628
30.9002619.4%13.2%(+6.21)#1,22413.7%(+5.69)#22,792
31.9001919.8%13.2%(+6.59)#1,24313.7%(+6.07)#23,085
32.9004720.0%13.2%(+6.83)#1,25813.7%(+6.31)#23,256
33.9000420.4%13.2%(+7.18)#1,27013.7%(+6.66)#23,485
34.9003120.5%13.2%(+7.36)#1,27913.7%(+6.84)#23,589
35.9002821.3%13.2%(+8.17)#1,31413.7%(+7.65)#24,128
36.9003822.3%13.2%(+9.17)#1,34913.7%(+8.65)#24,741
37.9001822.4%13.2%(+9.18)#1,35013.7%(+8.66)#24,750
38.9006124.7%13.2%(+11.5)#1,39413.7%(+11.0)#25,893
39.9005924.9%13.2%(+11.7)#1,39513.7%(+11.2)#25,957
40.9002325.0%13.2%(+11.9)#1,40213.7%(+11.3)#26,042
41.9002925.2%13.2%(+12.0)#1,40513.7%(+11.5)#26,108
42.9000125.5%13.2%(+12.3)#1,41113.7%(+11.8)#26,217
43.9000225.6%13.2%(+12.4)#1,41513.7%(+11.9)#26,262
44.9000625.6%13.2%(+12.5)#1,41713.7%(+11.9)#26,285
45.9003727.3%13.2%(+14.1)#1,45113.7%(+13.6)#26,918
46.9001227.9%13.2%(+14.8)#1,46013.7%(+14.2)#27,097
47.9004428.5%13.2%(+15.3)#1,46513.7%(+14.8)#27,272
48.9000328.8%13.2%(+15.7)#1,46813.7%(+15.1)#27,363
49.9001529.5%13.2%(+16.3)#1,47613.7%(+15.8)#27,548
50.9000529.7%13.2%(+16.6)#1,47913.7%(+16.0)#27,593
51.9003330.3%13.2%(+17.1)#1,48713.7%(+16.6)#27,748
52.9001130.3%13.2%(+17.1)#1,49013.7%(+16.6)#27,764
53.9002431.0%13.2%(+17.8)#1,50013.7%(+17.3)#27,927
54.9001432.6%13.2%(+19.4)#1,51213.7%(+18.9)#28,247
55.9005733.0%13.2%(+19.8)#1,51613.7%(+19.3)#28,331
56.9000733.9%13.2%(+20.7)#1,52113.7%(+20.2)#28,489
57.9005836.1%13.2%(+22.9)#1,53513.7%(+22.4)#28,839
58.9002139.9%13.2%(+26.7)#1,55413.7%(+26.2)#29,236
59.9001740.6%13.2%(+27.4)#1,55813.7%(+26.9)#29,293
60.9001344.9%13.2%(+31.7)#1,57213.7%(+31.2)#29,585
61.9007168.3%13.2%(+55.2)#1,59613.7%(+54.6)#30,235
62.90089100.0%13.2%(+86.8)#1,60313.7%(+86.3)#30,387

Common Questions

What are the Top 10 Zip Codes with the Lowest Female Poverty Level in Los Angeles, CA?
Top 10 Zip Codes with the Lowest Female Poverty Level in Los Angeles, CA are:
#1
0.0%
#2
5.9%
#3
7.0%
#4
7.1%
#5
8.2%
#6
8.5%
#7
8.6%
#8
8.6%
#9
8.6%
#10
8.9%
What zip code has the Lowest Female Poverty Level in Los Angeles, CA?
90077 has the Lowest Female Poverty Level in Los Angeles, CA with 5.9%.
What is the Poverty Level Among Females in Los Angeles, CA?
Poverty Level Among Females in Los Angeles is 18.1%.
What is the Poverty Level Among Females in California?
Poverty Level Among Females in California is 13.2%.
What is the Poverty Level Among Females in the United States?
Poverty Level Among Females in the United States is 13.7%.