Zip Codes with the Highest Inequality / Gini Index in Los Angeles, CA

RELATED REPORTS & OPTIONS

Highest Inequality / Gini Index
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 AltosLos AngelesLos GatosMaderaMantecaMenifeeMercedMission ViejoModestoMonterey 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 Inequality / Gini Index in Los Angeles

0.00
0.80
Zip Codes with the Highest Inequality / Gini Index in Los Angeles Map

Zip Codes with the Highest Inequality / Gini Index in Los Angeles, CA

Zip Code Inequality / Gini Index vs State vs National
1.900210.730.49(+0.237)#50.48(+0.244)#33
2.900130.650.49(+0.156)#110.48(+0.162)#156
3.900240.640.49(+0.151)#120.48(+0.158)#165
4.900140.630.49(+0.136)#170.48(+0.142)#221
5.900770.570.49(+0.076)#610.48(+0.083)#802
6.900200.560.49(+0.068)#720.48(+0.075)#972
7.900040.560.49(+0.066)#760.48(+0.073)#1,016
8.900680.550.49(+0.064)#780.48(+0.071)#1,056
9.900670.550.49(+0.062)#820.48(+0.068)#1,124
10.900490.550.49(+0.056)#960.48(+0.062)#1,275
11.900120.540.49(+0.053)#1030.48(+0.059)#1,350
12.900460.540.49(+0.052)#1060.48(+0.058)#1,381
13.900150.540.49(+0.052)#1070.48(+0.058)#1,384
14.900480.540.49(+0.050)#1130.48(+0.056)#1,460
15.900070.530.49(+0.044)#1240.48(+0.050)#1,677
16.900270.530.49(+0.043)#1250.48(+0.049)#1,700
17.900050.530.49(+0.036)#1410.48(+0.043)#1,958
18.900170.520.49(+0.034)#1540.48(+0.040)#2,102
19.900640.520.49(+0.032)#1610.48(+0.038)#2,183
20.900280.520.49(+0.028)#1760.48(+0.034)#2,367
21.900650.510.49(+0.025)#1910.48(+0.031)#2,546
22.900380.510.49(+0.023)#2010.48(+0.030)#2,634
23.900350.510.49(+0.020)#2150.48(+0.027)#2,796
24.900190.510.49(+0.019)#2180.48(+0.026)#2,867
25.900080.510.49(+0.016)#2390.48(+0.023)#3,075
26.900580.510.49(+0.016)#2410.48(+0.023)#3,096
27.900250.500.49(+0.014)#2480.48(+0.021)#3,228
28.900360.500.49(+0.013)#2570.48(+0.020)#3,315
29.900430.500.49(+0.011)#2700.48(+0.017)#3,486
30.900660.500.49(+0.008)#2820.48(+0.014)#3,717
31.900610.500.49(+0.006)#2910.48(+0.013)#3,830
32.900390.500.49(+0.006)#2950.48(+0.012)#3,859
33.900290.490.49(-0.002)#3440.48(+0.005)#4,533
34.900310.490.49(-0.003)#3560.48(+0.003)#4,657
35.900410.480.49(-0.005)#3620.48(+0.002)#4,773
36.900260.480.49(-0.005)#3630.48(+0.002)#4,784
37.900180.480.49(-0.007)#3760.48(+0.000)#4,996
38.900590.480.49(-0.008)#3920.48(-0.001)#5,159
39.900160.480.49(-0.008)#3940.48(-0.002)#5,208
40.900620.480.49(-0.014)#4350.48(-0.007)#5,800
41.900100.470.49(-0.016)#4600.48(-0.010)#6,144
42.900440.470.49(-0.020)#4980.48(-0.014)#6,659
43.900470.470.49(-0.021)#5050.48(-0.014)#6,765
44.900370.470.49(-0.021)#5100.48(-0.015)#6,782
45.900060.460.49(-0.027)#5560.48(-0.021)#7,616
46.900450.460.49(-0.033)#6220.48(-0.027)#8,519
47.900330.460.49(-0.034)#6260.48(-0.027)#8,601
48.900420.460.49(-0.034)#6280.48(-0.027)#8,640
49.900020.450.49(-0.036)#6490.48(-0.029)#8,931
50.900570.450.49(-0.039)#7010.48(-0.032)#9,500
51.900030.440.49(-0.046)#7990.48(-0.040)#10,838
52.900110.440.49(-0.047)#8040.48(-0.040)#10,894
53.900340.440.49(-0.048)#8220.48(-0.042)#11,187
54.900400.440.49(-0.053)#8780.48(-0.046)#12,126
55.900560.430.49(-0.058)#9370.48(-0.052)#13,188
56.900320.430.49(-0.059)#9430.48(-0.052)#13,271
57.900230.420.49(-0.071)#1,0820.48(-0.064)#15,823
58.900220.420.49(-0.073)#1,1110.48(-0.066)#16,265
59.900010.410.49(-0.076)#1,1630.48(-0.070)#16,955
60.900630.410.49(-0.084)#1,2460.48(-0.078)#18,645

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Los Angeles, CA?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Los Angeles, CA are:
#1
0.73
#2
0.65
#3
0.64
#4
0.63
#5
0.57
#6
0.56
#7
0.56
#8
0.55
#9
0.55
#10
0.55
What zip code has the Highest Inequality / Gini Index in Los Angeles, CA?
90021 has the Highest Inequality / Gini Index in Los Angeles, CA with 0.73.
What is the Inequality / Gini Index in Los Angeles, CA?
Inequality / Gini Index in Los Angeles is 0.53.
What is the Inequality / Gini Index in California?
Inequality / Gini Index in California is 0.49.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.