Zip Codes with the Highest Inequality / Gini Index in California

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Highest Inequality / Gini Index
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
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
California
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 California

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0.80
Zip Codes with the Highest Inequality / Gini Index in California Map

Zip Codes with the Highest Inequality / Gini Index in California

Zip Code Inequality / Gini Index vs State vs National
1.955690.780.49(+0.287)#10.48(+0.294)#13
2.956060.760.49(+0.274)#20.48(+0.280)#17
3.937410.740.49(+0.254)#30.48(+0.260)#22
4.935280.740.49(+0.247)#40.48(+0.253)#24
5.900210.730.49(+0.237)#50.48(+0.244)#33
6.949710.720.49(+0.226)#60.48(+0.232)#43
7.941040.680.49(+0.188)#70.48(+0.195)#83
8.955950.670.49(+0.176)#80.48(+0.182)#106
9.925900.660.49(+0.174)#90.48(+0.181)#111
10.955630.650.49(+0.161)#100.48(+0.168)#135
11.900130.650.49(+0.156)#110.48(+0.162)#156
12.900240.640.49(+0.151)#120.48(+0.158)#165
13.960560.640.49(+0.148)#130.48(+0.155)#176
14.949400.640.49(+0.146)#140.48(+0.153)#182
15.959140.630.49(+0.137)#150.48(+0.144)#210
16.955110.630.49(+0.136)#160.48(+0.143)#216
17.900140.630.49(+0.136)#170.48(+0.142)#221
18.954560.620.49(+0.133)#180.48(+0.140)#229
19.923720.620.49(+0.133)#190.48(+0.140)#230
20.943050.620.49(+0.131)#200.48(+0.138)#239
21.953030.620.49(+0.129)#210.48(+0.135)#252
22.902100.620.49(+0.126)#220.48(+0.132)#267
23.954570.610.49(+0.123)#230.48(+0.129)#284
24.923210.610.49(+0.121)#240.48(+0.128)#293
25.955520.610.49(+0.118)#250.48(+0.125)#313
26.930660.610.49(+0.117)#260.48(+0.123)#329
27.959200.610.49(+0.116)#270.48(+0.123)#332
28.961200.600.49(+0.114)#280.48(+0.121)#342
29.934240.600.49(+0.114)#290.48(+0.121)#346
30.953740.600.49(+0.112)#300.48(+0.119)#358
31.920910.600.49(+0.112)#310.48(+0.119)#362
32.932070.600.49(+0.111)#320.48(+0.118)#366
33.950430.600.49(+0.109)#330.48(+0.115)#389
34.904010.600.49(+0.107)#340.48(+0.114)#401
35.926170.590.49(+0.103)#350.48(+0.110)#431
36.960470.590.49(+0.103)#360.48(+0.110)#433
37.959370.590.49(+0.103)#370.48(+0.109)#437
38.904020.590.49(+0.102)#380.48(+0.109)#439
39.940740.590.49(+0.101)#390.48(+0.108)#449
40.941330.590.49(+0.101)#400.48(+0.108)#451
41.947040.590.49(+0.100)#410.48(+0.107)#461
42.925610.590.49(+0.099)#420.48(+0.106)#473
43.959470.590.49(+0.098)#430.48(+0.105)#487
44.941020.590.49(+0.096)#440.48(+0.103)#510
45.922100.590.49(+0.096)#450.48(+0.103)#512
46.959180.590.49(+0.096)#460.48(+0.103)#513
47.960940.580.49(+0.095)#470.48(+0.101)#531
48.956980.580.49(+0.092)#480.48(+0.099)#559
49.945150.580.49(+0.090)#490.48(+0.097)#574
50.953170.570.49(+0.085)#500.48(+0.092)#647
51.955260.570.49(+0.084)#510.48(+0.090)#661
52.922580.570.49(+0.081)#520.48(+0.088)#710
53.955450.570.49(+0.080)#530.48(+0.087)#719
54.956890.570.49(+0.080)#540.48(+0.087)#721
55.952330.570.49(+0.080)#550.48(+0.086)#732
56.955580.570.49(+0.079)#560.48(+0.086)#735
57.941080.570.49(+0.078)#570.48(+0.084)#761
58.958370.570.49(+0.077)#580.48(+0.084)#775
59.900690.570.49(+0.076)#590.48(+0.083)#787
60.922570.570.49(+0.076)#600.48(+0.083)#792
61.900770.570.49(+0.076)#610.48(+0.083)#802
62.946120.570.49(+0.076)#620.48(+0.082)#805
63.933010.560.49(+0.075)#630.48(+0.081)#821
64.954230.560.49(+0.072)#640.48(+0.079)#872
65.949460.560.49(+0.072)#650.48(+0.078)#887
66.902110.560.49(+0.071)#660.48(+0.078)#895
67.940050.560.49(+0.071)#670.48(+0.077)#903
68.902120.560.49(+0.070)#680.48(+0.077)#918
69.957170.560.49(+0.069)#690.48(+0.076)#945
70.913020.560.49(+0.069)#700.48(+0.075)#957
71.956290.560.49(+0.068)#710.48(+0.075)#970
72.900200.560.49(+0.068)#720.48(+0.075)#972
73.934050.560.49(+0.067)#730.48(+0.074)#990
74.922640.560.49(+0.067)#740.48(+0.073)#1,000
75.945740.560.49(+0.067)#750.48(+0.073)#1,001
76.900040.560.49(+0.066)#760.48(+0.073)#1,016
77.922620.550.49(+0.065)#770.48(+0.072)#1,032
78.900680.550.49(+0.064)#780.48(+0.071)#1,056
79.939530.550.49(+0.064)#790.48(+0.070)#1,068
80.934600.550.49(+0.063)#800.48(+0.069)#1,094
81.911030.550.49(+0.062)#810.48(+0.068)#1,121
82.900670.550.49(+0.062)#820.48(+0.068)#1,124
83.954290.550.49(+0.061)#830.48(+0.068)#1,128
84.959340.550.49(+0.061)#840.48(+0.068)#1,137
85.958140.550.49(+0.061)#850.48(+0.067)#1,145
86.932370.550.49(+0.061)#860.48(+0.067)#1,148
87.960390.550.49(+0.060)#870.48(+0.067)#1,151
88.954100.550.49(+0.060)#880.48(+0.067)#1,155
89.949240.550.49(+0.060)#890.48(+0.066)#1,168
90.960800.550.49(+0.059)#900.48(+0.066)#1,176
91.949040.550.49(+0.059)#910.48(+0.066)#1,185
92.923270.550.49(+0.059)#920.48(+0.065)#1,196
93.939230.550.49(+0.058)#930.48(+0.065)#1,199
94.902720.550.49(+0.057)#940.48(+0.063)#1,242
95.937060.550.49(+0.056)#950.48(+0.063)#1,257
96.900490.550.49(+0.056)#960.48(+0.062)#1,275
97.957010.540.49(+0.055)#970.48(+0.062)#1,282
98.904050.540.49(+0.054)#980.48(+0.061)#1,319
99.934220.540.49(+0.054)#990.48(+0.060)#1,330
100.941090.540.49(+0.053)#1000.48(+0.060)#1,335

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in California?
Top 10 Zip Codes with the Highest Inequality / Gini Index in California are:
#1
0.78
#2
0.76
#3
0.74
#4
0.74
#5
0.73
#6
0.72
#7
0.68
#8
0.67
#9
0.66
#10
0.65
What zip code has the Highest Inequality / Gini Index in California?
95569 has the Highest Inequality / Gini Index in California with 0.78.
What is the Inequality / Gini Index in the State of 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.