Zip Codes with the Highest Poverty Level Among Single Females in Los Angeles, CA

RELATED REPORTS & OPTIONS

Highest Poverty | Single 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 ElsinoreLakewoodLancasterLivermoreLodiLompocLong BeachLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMonterey ParkMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaPortervilleRancho 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 Poverty Level Among Single Females in Los Angeles

0.0%
50.0%
Zip Codes with the Highest Poverty Level Among Single Females in Los Angeles Map

Zip Codes with the Highest Poverty Level Among Single Females in Los Angeles, CA

Zip Code Single Female Poverty vs State vs National
1.9001748.6%20.3%(+28.3)#10024.1%(+24.5)#3,727
2.9001542.1%20.3%(+21.8)#14224.1%(+18.1)#5,147
3.9007741.3%20.3%(+21.0)#14624.1%(+17.3)#5,374
4.9000340.1%20.3%(+19.8)#16024.1%(+16.0)#5,698
5.9005838.8%20.3%(+18.5)#18324.1%(+14.7)#6,144
6.9003337.5%20.3%(+17.2)#19524.1%(+13.5)#6,493
7.9001135.3%20.3%(+15.0)#22424.1%(+11.2)#7,292
8.9003733.7%20.3%(+13.4)#25124.1%(+9.65)#7,882
9.9006132.6%20.3%(+12.3)#26524.1%(+8.55)#8,410
10.9004432.4%20.3%(+12.1)#26924.1%(+8.30)#8,509
11.9000632.1%20.3%(+11.8)#27224.1%(+8.02)#8,625
12.9005932.1%20.3%(+11.8)#27424.1%(+7.99)#8,635
13.9001231.8%20.3%(+11.5)#28224.1%(+7.69)#8,769
14.9000230.8%20.3%(+10.4)#29724.1%(+6.67)#9,200
15.9002330.0%20.3%(+9.71)#31124.1%(+5.94)#9,487
16.9002927.8%20.3%(+7.53)#36524.1%(+3.76)#10,607
17.9004027.3%20.3%(+6.97)#37824.1%(+3.20)#10,891
18.9000727.1%20.3%(+6.75)#38324.1%(+2.98)#11,030
19.9000526.9%20.3%(+6.59)#38624.1%(+2.82)#11,104
20.9006525.3%20.3%(+4.95)#43624.1%(+1.18)#11,965
21.9000124.9%20.3%(+4.63)#45024.1%(+0.858)#12,222
22.9000424.7%20.3%(+4.41)#45524.1%(+0.643)#12,314
23.9000824.7%20.3%(+4.35)#45924.1%(+0.579)#12,353
24.9003224.4%20.3%(+4.11)#46624.1%(+0.339)#12,460
25.9001923.9%20.3%(+3.58)#47924.1%(-0.187)#12,744
26.9005723.4%20.3%(+3.05)#49324.1%(-0.722)#13,037
27.9002623.3%20.3%(+2.96)#49824.1%(-0.806)#13,092
28.9003623.0%20.3%(+2.66)#50724.1%(-1.11)#13,295
29.9001622.8%20.3%(+2.51)#51824.1%(-1.26)#13,373
30.9006322.3%20.3%(+2.02)#53524.1%(-1.75)#13,628
31.9004722.2%20.3%(+1.91)#54224.1%(-1.86)#13,743
32.9002222.0%20.3%(+1.67)#55224.1%(-2.10)#13,855
33.9003121.5%20.3%(+1.24)#57024.1%(-2.53)#14,085
34.9002021.5%20.3%(+1.18)#57324.1%(-2.59)#14,115
35.9004820.9%20.3%(+0.546)#60224.1%(-3.22)#14,455
36.9001420.8%20.3%(+0.463)#60624.1%(-3.31)#14,494
37.9001820.7%20.3%(+0.398)#61024.1%(-3.37)#14,532
38.9002419.5%20.3%(-0.786)#65424.1%(-4.56)#15,219
39.9006219.2%20.3%(-1.07)#66724.1%(-4.84)#15,376
40.9004119.1%20.3%(-1.17)#67324.1%(-4.94)#15,441
41.9002118.5%20.3%(-1.79)#70524.1%(-5.56)#15,778
42.9006418.2%20.3%(-2.14)#72124.1%(-5.91)#16,027
43.9004217.5%20.3%(-2.82)#75724.1%(-6.59)#16,418
44.9003916.7%20.3%(-3.59)#78724.1%(-7.36)#16,820
45.9003816.6%20.3%(-3.75)#79624.1%(-7.52)#16,993
46.9006716.5%20.3%(-3.84)#79824.1%(-7.61)#17,027
47.9004315.8%20.3%(-4.51)#82924.1%(-8.28)#17,387
48.9002515.7%20.3%(-4.65)#84024.1%(-8.42)#17,472
49.9003513.8%20.3%(-6.51)#92024.1%(-10.3)#18,552
50.9004611.9%20.3%(-8.45)#1,01824.1%(-12.2)#19,694
51.9004911.5%20.3%(-8.80)#1,03824.1%(-12.6)#19,912
52.9004510.8%20.3%(-9.49)#1,07624.1%(-13.3)#20,318
53.9002710.1%20.3%(-10.2)#1,11524.1%(-14.0)#20,696
54.900289.8%20.3%(-10.5)#1,12524.1%(-14.2)#20,813
55.900669.6%20.3%(-10.7)#1,13324.1%(-14.5)#20,943
56.900348.5%20.3%(-11.8)#1,18924.1%(-15.6)#21,549
57.900565.7%20.3%(-14.6)#1,28024.1%(-18.4)#22,866

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Single Females in Los Angeles, CA?
Top 10 Zip Codes with the Highest Poverty Level Among Single Females in Los Angeles, CA are:
#1
48.6%
#2
42.1%
#3
41.3%
#4
40.1%
#5
38.8%
#6
37.5%
#7
35.3%
#8
33.7%
#9
32.6%
#10
32.4%
What zip code has the Highest Poverty Level Among Single Females in Los Angeles, CA?
90017 has the Highest Poverty Level Among Single Females in Los Angeles, CA with 48.6%.
What is the Poverty Level Among Single Females in Los Angeles, CA?
Poverty Level Among Single Females in Los Angeles is 23.3%.
What is the Poverty Level Among Single Females in California?
Poverty Level Among Single Females in California is 20.3%.
What is the Poverty Level Among Single Females in the United States?
Poverty Level Among Single Females in the United States is 24.1%.