Zip Codes with the Highest Inequality / Gini Index in Washington

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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
Washington
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Highest Inequality / Gini Index in Washington

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

Zip Codes with the Highest Inequality / Gini Index in Washington

Zip Code Inequality / Gini Index vs State vs National
1.993560.660.46(+0.196)#10.48(+0.177)#121
2.983030.630.46(+0.165)#20.48(+0.146)#200
3.985660.620.46(+0.155)#30.48(+0.136)#246
4.993300.610.46(+0.149)#40.48(+0.129)#283
5.981050.610.46(+0.143)#50.48(+0.124)#323
6.990080.610.46(+0.142)#60.48(+0.123)#333
7.985270.600.46(+0.139)#70.48(+0.120)#353
8.982430.600.46(+0.136)#80.48(+0.116)#378
9.982810.580.46(+0.120)#90.48(+0.101)#533
10.982970.580.46(+0.112)#100.48(+0.092)#636
11.991340.570.46(+0.106)#110.48(+0.087)#730
12.992010.570.46(+0.105)#120.48(+0.086)#736
13.991630.560.46(+0.101)#130.48(+0.082)#816
14.989320.560.46(+0.099)#140.48(+0.080)#862
15.990340.560.46(+0.097)#150.48(+0.077)#906
16.983580.550.46(+0.091)#160.48(+0.072)#1,034
17.982790.550.46(+0.089)#170.48(+0.070)#1,072
18.991790.550.46(+0.088)#180.48(+0.069)#1,096
19.986140.550.46(+0.086)#190.48(+0.067)#1,161
20.988310.550.46(+0.085)#200.48(+0.066)#1,178
21.982450.550.46(+0.084)#210.48(+0.065)#1,208
22.985380.550.46(+0.082)#220.48(+0.063)#1,264
23.982500.540.46(+0.080)#230.48(+0.061)#1,321
24.981440.540.46(+0.074)#240.48(+0.055)#1,501
25.981120.530.46(+0.069)#250.48(+0.050)#1,674
26.991550.530.46(+0.069)#260.48(+0.050)#1,686
27.988430.530.46(+0.067)#270.48(+0.048)#1,746
28.990170.530.46(+0.064)#280.48(+0.044)#1,881
29.980700.530.46(+0.063)#290.48(+0.043)#1,924
30.981040.530.46(+0.062)#300.48(+0.043)#1,932
31.981220.530.46(+0.062)#310.48(+0.043)#1,957
32.993290.520.46(+0.061)#320.48(+0.042)#1,983
33.981080.520.46(+0.060)#330.48(+0.041)#2,048
34.986600.520.46(+0.059)#340.48(+0.040)#2,090
35.980400.520.46(+0.055)#350.48(+0.036)#2,287
36.980200.510.46(+0.050)#360.48(+0.031)#2,551
37.989460.510.46(+0.048)#370.48(+0.029)#2,679
38.993590.510.46(+0.048)#380.48(+0.029)#2,687
39.980390.510.46(+0.047)#390.48(+0.027)#2,767
40.991280.510.46(+0.046)#400.48(+0.027)#2,821
41.986310.510.46(+0.045)#410.48(+0.025)#2,895
42.988290.510.46(+0.044)#420.48(+0.025)#2,955
43.982880.500.46(+0.041)#430.48(+0.021)#3,187
44.989250.500.46(+0.040)#440.48(+0.021)#3,202
45.986510.500.46(+0.040)#450.48(+0.021)#3,215
46.993480.500.46(+0.039)#460.48(+0.020)#3,273
47.981010.500.46(+0.039)#470.48(+0.020)#3,293
48.980040.500.46(+0.039)#480.48(+0.020)#3,302
49.982610.500.46(+0.039)#490.48(+0.020)#3,324
50.989340.500.46(+0.039)#500.48(+0.020)#3,328
51.982490.500.46(+0.037)#510.48(+0.018)#3,427
52.991330.500.46(+0.037)#520.48(+0.018)#3,466
53.980050.500.46(+0.036)#530.48(+0.016)#3,552
54.984020.500.46(+0.035)#540.48(+0.016)#3,581
55.985470.500.46(+0.035)#550.48(+0.016)#3,610
56.980330.490.46(+0.031)#560.48(+0.012)#3,911
57.991290.490.46(+0.029)#570.48(+0.010)#4,041
58.983610.490.46(+0.029)#580.48(+0.010)#4,106
59.993220.490.46(+0.027)#590.48(+0.008)#4,232
60.992230.490.46(+0.026)#600.48(+0.007)#4,329
61.985520.490.46(+0.025)#610.48(+0.006)#4,424
62.992180.490.46(+0.024)#620.48(+0.005)#4,480
63.991660.490.46(+0.024)#630.48(+0.004)#4,560
64.981640.490.46(+0.023)#640.48(+0.004)#4,579
65.990040.490.46(+0.023)#650.48(+0.004)#4,608
66.982250.480.46(+0.021)#660.48(+0.002)#4,818
67.980570.480.46(+0.021)#670.48(+0.002)#4,821
68.985880.480.46(+0.021)#680.48(+0.001)#4,858
69.981190.480.46(+0.020)#690.48(+0.001)#4,864
70.989400.480.46(+0.020)#700.48(+0.001)#4,868
71.991050.480.46(+0.019)#710.48(-0.000)#5,057
72.991480.480.46(+0.018)#720.48(-0.001)#5,126
73.985650.480.46(+0.018)#730.48(-0.002)#5,197
74.981250.480.46(+0.017)#740.48(-0.002)#5,209
75.986700.480.46(+0.015)#750.48(-0.004)#5,436
76.990180.480.46(+0.012)#760.48(-0.007)#5,794
77.981180.480.46(+0.012)#770.48(-0.008)#5,821
78.981100.470.46(+0.011)#780.48(-0.008)#5,916
79.983500.470.46(+0.010)#790.48(-0.009)#6,023
80.985550.470.46(+0.010)#800.48(-0.009)#6,081
81.981020.470.46(+0.009)#810.48(-0.010)#6,164
82.992020.470.46(+0.008)#820.48(-0.011)#6,344
83.993620.470.46(+0.007)#830.48(-0.012)#6,457
84.986350.470.46(+0.006)#840.48(-0.013)#6,546
85.983940.470.46(+0.006)#850.48(-0.013)#6,588
86.991730.470.46(+0.006)#860.48(-0.013)#6,638
87.981780.470.46(+0.006)#870.48(-0.014)#6,675
88.986400.470.46(+0.005)#880.48(-0.014)#6,713
89.989410.470.46(+0.005)#890.48(-0.014)#6,715
90.984990.470.46(+0.005)#900.48(-0.014)#6,767
91.994020.470.46(+0.004)#910.48(-0.015)#6,874
92.988620.470.46(+0.002)#920.48(-0.017)#7,097
93.985860.470.46(+0.002)#930.48(-0.018)#7,187
94.992240.460.46(+0.001)#940.48(-0.018)#7,269
95.991110.460.46(+0.001)#950.48(-0.018)#7,311
96.980530.460.46(+0.001)#960.48(-0.019)#7,321
97.980080.460.46(-0.001)#970.48(-0.020)#7,512
98.994030.460.46(-0.001)#980.48(-0.020)#7,586
99.981770.460.46(-0.001)#990.48(-0.021)#7,622
100.981660.460.46(-0.002)#1000.48(-0.021)#7,744

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Washington?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Washington are:
#1
0.66
#2
0.63
#3
0.62
#4
0.61
#5
0.61
#6
0.61
#7
0.60
#8
0.60
#9
0.58
#10
0.58
What zip code has the Highest Inequality / Gini Index in Washington?
99356 has the Highest Inequality / Gini Index in Washington with 0.66.
What is the Inequality / Gini Index in the State of Washington?
Inequality / Gini Index in Washington is 0.46.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.