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

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Highest 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 Highest Female Poverty Level in Los Angeles

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

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

Zip Code Female Poverty vs State vs National
1.90089100.0%13.2%(+86.8)#113.7%(+86.3)#5
2.9007168.3%13.2%(+55.2)#1913.7%(+54.6)#256
3.9001344.9%13.2%(+31.7)#4313.7%(+31.2)#906
4.9001740.6%13.2%(+27.4)#5713.7%(+26.9)#1,198
5.9002139.9%13.2%(+26.7)#6113.7%(+26.2)#1,255
6.9005836.1%13.2%(+22.9)#8013.7%(+22.4)#1,651
7.9000733.9%13.2%(+20.7)#9413.7%(+20.2)#2,002
8.9005733.0%13.2%(+19.8)#9913.7%(+19.3)#2,160
9.9001432.6%13.2%(+19.4)#10313.7%(+18.9)#2,244
10.9002431.0%13.2%(+17.8)#11513.7%(+17.3)#2,564
11.9001130.3%13.2%(+17.1)#12513.7%(+16.6)#2,727
12.9003330.3%13.2%(+17.1)#12813.7%(+16.6)#2,743
13.9000529.7%13.2%(+16.6)#13613.7%(+16.0)#2,898
14.9001529.5%13.2%(+16.3)#13913.7%(+15.8)#2,943
15.9000328.8%13.2%(+15.7)#14713.7%(+15.1)#3,128
16.9004428.5%13.2%(+15.3)#15013.7%(+14.8)#3,219
17.9001227.9%13.2%(+14.8)#15513.7%(+14.2)#3,394
18.9003727.3%13.2%(+14.1)#16413.7%(+13.6)#3,573
19.9000625.6%13.2%(+12.5)#19813.7%(+11.9)#4,206
20.9000225.6%13.2%(+12.4)#20013.7%(+11.9)#4,229
21.9000125.5%13.2%(+12.3)#20413.7%(+11.8)#4,274
22.9002925.2%13.2%(+12.0)#21013.7%(+11.5)#4,383
23.9002325.0%13.2%(+11.9)#21313.7%(+11.3)#4,449
24.9005924.9%13.2%(+11.7)#22013.7%(+11.2)#4,534
25.9006124.7%13.2%(+11.5)#22113.7%(+11.0)#4,598
26.9001822.4%13.2%(+9.18)#26513.7%(+8.66)#5,741
27.9003822.3%13.2%(+9.17)#26613.7%(+8.65)#5,750
28.9002821.3%13.2%(+8.17)#30113.7%(+7.65)#6,363
29.9003120.5%13.2%(+7.36)#33613.7%(+6.84)#6,902
30.9000420.4%13.2%(+7.18)#34513.7%(+6.66)#7,006
31.9004720.0%13.2%(+6.83)#35713.7%(+6.31)#7,235
32.9001919.8%13.2%(+6.59)#37213.7%(+6.07)#7,406
33.9002619.4%13.2%(+6.21)#39113.7%(+5.69)#7,699
34.9006319.2%13.2%(+5.99)#40013.7%(+5.47)#7,863
35.9002218.8%13.2%(+5.64)#41813.7%(+5.13)#8,152
36.9000818.8%13.2%(+5.62)#42013.7%(+5.10)#8,179
37.9002018.7%13.2%(+5.50)#43013.7%(+4.98)#8,280
38.9001617.9%13.2%(+4.76)#46313.7%(+4.24)#8,902
39.9006217.2%13.2%(+3.99)#49413.7%(+3.47)#9,588
40.9003216.1%13.2%(+2.89)#54313.7%(+2.37)#10,686
41.9004315.8%13.2%(+2.64)#56313.7%(+2.12)#10,982
42.9002715.7%13.2%(+2.53)#57013.7%(+2.02)#11,078
43.9004015.5%13.2%(+2.36)#58013.7%(+1.84)#11,269
44.9006515.1%13.2%(+1.95)#60013.7%(+1.43)#11,714
45.9004613.4%13.2%(+0.182)#70513.7%(-0.338)#13,844
46.9006812.8%13.2%(-0.415)#74713.7%(-0.934)#14,656
47.9002512.6%13.2%(-0.594)#75713.7%(-1.11)#14,885
48.9004812.0%13.2%(-1.17)#79413.7%(-1.69)#15,636
49.9004111.7%13.2%(-1.49)#82713.7%(-2.01)#16,085
50.9003611.6%13.2%(-1.58)#83313.7%(-2.10)#16,213
51.9004211.1%13.2%(-2.04)#87813.7%(-2.56)#16,917
52.900399.7%13.2%(-3.48)#1,00013.7%(-4.00)#19,023
53.900109.7%13.2%(-3.48)#1,00113.7%(-4.00)#19,036
54.900678.9%13.2%(-4.31)#1,10013.7%(-4.83)#20,380
55.900358.6%13.2%(-4.56)#1,12213.7%(-5.08)#20,780
56.900458.6%13.2%(-4.58)#1,12513.7%(-5.10)#20,825
57.900568.6%13.2%(-4.61)#1,12713.7%(-5.13)#20,876
58.900348.5%13.2%(-4.66)#1,13713.7%(-5.18)#20,970
59.900648.2%13.2%(-4.97)#1,16513.7%(-5.49)#21,455
60.900667.1%13.2%(-6.07)#1,28313.7%(-6.59)#23,189
61.900497.0%13.2%(-6.14)#1,29013.7%(-6.66)#23,288
62.900775.9%13.2%(-7.25)#1,41613.7%(-7.77)#25,079

Common Questions

What are the Top 10 Zip Codes with the Highest Female Poverty Level in Los Angeles, CA?
Top 10 Zip Codes with the Highest Female Poverty Level in Los Angeles, CA are:
#1
100.0%
#2
68.3%
#3
44.9%
#4
40.6%
#5
39.9%
#6
36.1%
#7
33.9%
#8
33.0%
#9
32.6%
#10
31.0%
What zip code has the Highest Female Poverty Level in Los Angeles, CA?
90089 has the Highest Female Poverty Level in Los Angeles, CA with 100.0%.
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%.