Zip Codes with the Highest Inequality / Gini Index in Chicago, IL

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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)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Ancestry (Percentage)
AfghanAfricanAlbanianAmericanApacheArabArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeChickasawChileanChippewaChoctawColombianComancheCosta RicanCreeCreekCroatianCubanCypriotCzechCzechoslovakianDanishDominicanDutchEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTonganTrinidadian and TobagonianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanVenezuelanVietnameseWelshWest IndianYaquiYugoslavianZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad 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
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Education by Degree Field
Occupancy
Finances
Physical Characteristics
Chicago
Compare Zip Codes
Comparison Subject

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

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

Zip Codes with the Highest Inequality / Gini Index in Chicago, IL

Zip Code Inequality / Gini Index vs State vs National
1.606040.640.48(+0.156)#40.48(+0.154)#178
2.606370.620.48(+0.141)#90.48(+0.139)#232
3.606530.600.48(+0.120)#130.48(+0.118)#364
4.606120.580.48(+0.095)#180.48(+0.094)#609
5.606150.560.48(+0.074)#320.48(+0.073)#1,017
6.606030.550.48(+0.068)#340.48(+0.067)#1,158
7.606140.550.48(+0.067)#360.48(+0.066)#1,188
8.606010.540.48(+0.059)#410.48(+0.058)#1,412
9.606100.540.48(+0.056)#430.48(+0.054)#1,540
10.606490.530.48(+0.054)#450.48(+0.052)#1,615
11.606110.530.48(+0.044)#510.48(+0.042)#1,972
12.606440.520.48(+0.041)#560.48(+0.039)#2,162
13.606240.520.48(+0.038)#590.48(+0.036)#2,286
14.606160.520.48(+0.034)#660.48(+0.032)#2,478
15.606210.510.48(+0.033)#680.48(+0.031)#2,566
16.606570.510.48(+0.030)#750.48(+0.028)#2,734
17.606360.510.48(+0.024)#840.48(+0.022)#3,112
18.606090.500.48(+0.016)#940.48(+0.014)#3,716
19.606190.500.48(+0.016)#960.48(+0.014)#3,735
20.606400.490.48(+0.014)#990.48(+0.012)#3,883
21.606130.490.48(+0.010)#1040.48(+0.008)#4,223
22.606460.490.48(+0.009)#1060.48(+0.007)#4,285
23.606430.490.48(+0.008)#1070.48(+0.007)#4,349
24.606470.490.48(+0.006)#1080.48(+0.005)#4,523
25.606070.490.48(+0.005)#1150.48(+0.004)#4,632
26.606180.480.48(+0.001)#1320.48(-0.001)#5,095
27.606600.480.48(+0.000)#1360.48(-0.001)#5,158
28.606220.480.48(+0.000)#1370.48(-0.002)#5,189
29.606230.480.48(-0.000)#1380.48(-0.002)#5,217
30.606450.480.48(-0.002)#1440.48(-0.004)#5,446
31.606510.470.48(-0.009)#1680.48(-0.011)#6,258
32.606540.470.48(-0.010)#1710.48(-0.011)#6,343
33.606390.470.48(-0.010)#1750.48(-0.012)#6,456
34.606280.470.48(-0.016)#1920.48(-0.017)#7,134
35.606260.470.48(-0.016)#1930.48(-0.017)#7,163
36.606170.460.48(-0.019)#2100.48(-0.021)#7,634
37.606080.460.48(-0.021)#2220.48(-0.023)#7,944
38.606200.460.48(-0.022)#2330.48(-0.024)#8,154
39.606410.460.48(-0.023)#2420.48(-0.025)#8,313
40.606250.460.48(-0.026)#2600.48(-0.027)#8,639
41.606590.460.48(-0.026)#2640.48(-0.027)#8,667
42.606050.450.48(-0.030)#2900.48(-0.032)#9,437
43.606330.440.48(-0.041)#3600.48(-0.043)#11,435
44.606290.440.48(-0.044)#3740.48(-0.046)#11,995
45.606320.440.48(-0.045)#3840.48(-0.047)#12,219
46.606300.430.48(-0.054)#4450.48(-0.055)#13,881
47.606310.430.48(-0.054)#4460.48(-0.055)#13,885
48.606420.430.48(-0.054)#4480.48(-0.056)#14,003
49.606340.420.48(-0.061)#5130.48(-0.062)#15,366
50.606560.420.48(-0.061)#5150.48(-0.062)#15,373
51.606610.410.48(-0.071)#6160.48(-0.073)#17,642
52.606060.410.48(-0.074)#6420.48(-0.076)#18,243
53.606520.400.48(-0.076)#6610.48(-0.078)#18,718
54.606380.400.48(-0.079)#6910.48(-0.081)#19,350
55.606020.400.48(-0.083)#7240.48(-0.084)#20,009
56.606550.390.48(-0.094)#8280.48(-0.095)#22,191

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Chicago, IL?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Chicago, IL are:
#1
0.64
#2
0.62
#3
0.60
#4
0.58
#5
0.56
#6
0.55
#7
0.55
#8
0.54
#9
0.54
#10
0.53
What zip code has the Highest Inequality / Gini Index in Chicago, IL?
60604 has the Highest Inequality / Gini Index in Chicago, IL with 0.64.
What is the Inequality / Gini Index in Chicago, IL?
Inequality / Gini Index in Chicago is 0.53.
What is the Inequality / Gini Index in Illinois?
Inequality / Gini Index in Illinois is 0.48.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.