Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Los Angeles, CA

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Highest Poverty | Female 25-34
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
AlhambraAnaheimAntiochApple ValleyArcadiaAuburnBakersfieldBerkeleyBeverly HillsBreaBuena ParkBurbankCamarilloCanoga ParkCanyon CountryCarlsbadCarsonCastro ValleyChicoChinoChula VistaCitrus HeightsClovisComptonConcordCoronaCosta MesaCovinaCulver CityDaly CityDanvilleDavisDesert Hot SpringsDowneyEl CajonEl MonteElk GroveEncinoEscondidoEurekaFairfieldFontanaFremontFresnoFullertonGarden GroveGardenaGlendaleGlendoraGrass ValleyHaywardHemetHesperiaHuntington BeachIndioInglewoodIrvineLa MesaLa PuenteLake ElsinoreLakewoodLancasterLivermoreLodiLoma LindaLong BeachLos AltosLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMonterey ParkMoreno ValleyMountain ViewMurrietaNapaNewport BeachNorth HollywoodNorthridgeNovatoOaklandOceansideOntarioOrangeOrovilleOxnardPalm DesertPalm SpringsPalmdalePalo AltoPasadenaPerrisPetalumaPleasantonPomonaPortervilleRancho 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 OaksTorranceTracyTurlockTustinUplandVacavilleValenciaVallejoVan NuysVenturaVictorvilleVisaliaVistaWalnut CreekWest CovinaWest SacramentoWhittierWoodlandWoodland HillsYorba LindaYuba City
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Los Angeles

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Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Los Angeles Map

Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Los Angeles, CA

Zip Code Female Poverty vs State vs National
1.9002129.5%12.7%(+16.8)#15714.5%(+15.0)#4,852
2.9001329.3%12.7%(+16.6)#15914.5%(+14.8)#4,928
3.9005727.6%12.7%(+14.9)#17814.5%(+13.1)#5,461
4.9004426.5%12.7%(+13.8)#19614.5%(+12.1)#5,847
5.9003725.8%12.7%(+13.0)#20014.5%(+11.3)#6,096
6.9001725.2%12.7%(+12.5)#21014.5%(+10.7)#6,288
7.9001124.4%12.7%(+11.7)#22914.5%(+9.89)#6,663
8.9000324.3%12.7%(+11.5)#23214.5%(+9.77)#6,713
9.9003324.0%12.7%(+11.3)#23714.5%(+9.49)#6,818
10.9000123.7%12.7%(+10.9)#24214.5%(+9.16)#6,956
11.9000523.6%12.7%(+10.9)#24314.5%(+9.11)#6,981
12.9001621.8%12.7%(+9.06)#28414.5%(+7.29)#7,802
13.9005921.7%12.7%(+8.94)#28914.5%(+7.17)#7,869
14.9000221.2%12.7%(+8.49)#29514.5%(+6.72)#8,076
15.9000720.7%12.7%(+7.96)#30714.5%(+6.19)#8,382
16.9006120.4%12.7%(+7.71)#31214.5%(+5.94)#8,500
17.9000820.4%12.7%(+7.64)#31514.5%(+5.87)#8,546
18.9003118.4%12.7%(+5.70)#38614.5%(+3.93)#9,716
19.9002318.3%12.7%(+5.60)#38914.5%(+3.83)#9,772
20.9002418.2%12.7%(+5.50)#39714.5%(+3.73)#9,825
21.9002917.5%12.7%(+4.80)#42514.5%(+3.03)#10,276
22.9001517.3%12.7%(+4.59)#43114.5%(+2.81)#10,401
23.9006817.2%12.7%(+4.46)#43414.5%(+2.69)#10,481
24.9005817.1%12.7%(+4.36)#43914.5%(+2.59)#10,555
25.9000617.0%12.7%(+4.33)#44214.5%(+2.55)#10,580
26.9001217.0%12.7%(+4.29)#44414.5%(+2.52)#10,596
27.9000416.8%12.7%(+4.07)#45414.5%(+2.30)#10,742
28.9003216.5%12.7%(+3.79)#46614.5%(+2.01)#10,971
29.9001915.9%12.7%(+3.16)#49314.5%(+1.38)#11,395
30.9002015.7%12.7%(+2.96)#50114.5%(+1.19)#11,526
31.9002215.7%12.7%(+2.95)#50214.5%(+1.18)#11,531
32.9004715.1%12.7%(+2.41)#53014.5%(+0.637)#11,902
33.9001814.8%12.7%(+2.12)#54614.5%(+0.350)#12,113
34.9005614.7%12.7%(+2.01)#55314.5%(+0.234)#12,179
35.9003814.6%12.7%(+1.90)#55814.5%(+0.125)#12,256
36.9002814.6%12.7%(+1.89)#55914.5%(+0.118)#12,260
37.9006313.0%12.7%(+0.300)#64814.5%(-1.47)#13,494
38.9002612.9%12.7%(+0.217)#65414.5%(-1.56)#13,550
39.9004312.9%12.7%(+0.146)#65814.5%(-1.63)#13,603
40.9001412.8%12.7%(+0.043)#66614.5%(-1.73)#13,679
41.9006512.6%12.7%(-0.082)#67314.5%(-1.85)#13,764
42.9002712.3%12.7%(-0.450)#70114.5%(-2.22)#14,046
43.9003512.1%12.7%(-0.669)#71114.5%(-2.44)#14,211
44.9002511.6%12.7%(-1.15)#74014.5%(-2.93)#14,625
45.9006210.6%12.7%(-2.09)#80714.5%(-3.87)#15,457
46.9003610.3%12.7%(-2.41)#82914.5%(-4.19)#15,733
47.9004510.1%12.7%(-2.60)#83814.5%(-4.37)#15,878
48.9006410.0%12.7%(-2.72)#84714.5%(-4.49)#15,964
49.900669.6%12.7%(-3.10)#87114.5%(-4.87)#16,352
50.900469.4%12.7%(-3.29)#88714.5%(-5.07)#16,533
51.900498.4%12.7%(-4.37)#98114.5%(-6.14)#17,500
52.900347.7%12.7%(-5.04)#1,02414.5%(-6.82)#18,136
53.900407.6%12.7%(-5.10)#1,02714.5%(-6.87)#18,188
54.900397.2%12.7%(-5.48)#1,05214.5%(-7.26)#18,559
55.900426.1%12.7%(-6.59)#1,12114.5%(-8.36)#19,555
56.900485.8%12.7%(-6.89)#1,13914.5%(-8.66)#19,826
57.900775.4%12.7%(-7.32)#1,16314.5%(-9.09)#20,210
58.900413.5%12.7%(-9.24)#1,26614.5%(-11.0)#21,833
59.900101.2%12.7%(-11.6)#1,34114.5%(-13.3)#23,294

Common Questions

What are the Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Los Angeles, CA?
Top 10 Zip Codes with the Highest Poverty Level Among Females Between Ages 25 and 34 in Los Angeles, CA are:
#1
29.5%
#2
29.3%
#3
27.6%
#4
26.5%
#5
25.8%
#6
25.2%
#7
24.4%
#8
24.3%
#9
24.0%
#10
23.7%
What zip code has the Highest Poverty Level Among Females Between Ages 25 and 34 in Los Angeles, CA?
90021 has the Highest Poverty Level Among Females Between Ages 25 and 34 in Los Angeles, CA with 29.5%.
What is the Poverty Level Among Females Between Ages 25 and 34 in Los Angeles, CA?
Poverty Level Among Females Between Ages 25 and 34 in Los Angeles is 15.1%.
What is the Poverty Level Among Females Between Ages 25 and 34 in California?
Poverty Level Among Females Between Ages 25 and 34 in California is 12.7%.
What is the Poverty Level Among Females Between Ages 25 and 34 in the United States?
Poverty Level Among Females Between Ages 25 and 34 in the United States is 14.5%.