Zip Codes with the Highest Inequality / Gini Index in Wisconsin

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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
Wisconsin
Compare Zip Codes
Comparison Subject

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

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

Zip Codes with the Highest Inequality / Gini Index in Wisconsin

Zip Code Inequality / Gini Index vs State vs National
1.539470.680.44(+0.239)#10.48(+0.200)#77
2.537030.610.44(+0.170)#20.48(+0.131)#274
3.537260.610.44(+0.165)#30.48(+0.125)#310
4.532050.590.44(+0.142)#40.48(+0.103)#515
5.542110.560.44(+0.114)#50.48(+0.074)#978
6.532330.550.44(+0.111)#60.48(+0.072)#1,045
7.542090.550.44(+0.106)#70.48(+0.067)#1,154
8.537150.550.44(+0.103)#80.48(+0.064)#1,233
9.549140.540.44(+0.093)#90.48(+0.053)#1,560
10.532060.530.44(+0.091)#100.48(+0.051)#1,634
11.532110.530.44(+0.083)#110.48(+0.044)#1,911
12.548500.520.44(+0.080)#120.48(+0.040)#2,094
13.548280.520.44(+0.079)#130.48(+0.040)#2,133
14.545540.520.44(+0.077)#140.48(+0.038)#2,215
15.531250.520.44(+0.077)#150.48(+0.037)#2,236
16.532020.520.44(+0.076)#160.48(+0.036)#2,274
17.531910.520.44(+0.074)#170.48(+0.035)#2,355
18.542100.510.44(+0.071)#180.48(+0.032)#2,523
19.542120.510.44(+0.069)#190.48(+0.030)#2,649
20.547220.510.44(+0.067)#200.48(+0.028)#2,750
21.530970.510.44(+0.065)#210.48(+0.026)#2,883
22.537050.510.44(+0.061)#220.48(+0.022)#3,120
23.549610.500.44(+0.060)#230.48(+0.021)#3,205
24.546310.500.44(+0.059)#240.48(+0.020)#3,272
25.532120.500.44(+0.059)#250.48(+0.020)#3,317
26.530450.500.44(+0.059)#260.48(+0.019)#3,341
27.532170.500.44(+0.057)#270.48(+0.017)#3,492
28.530920.500.44(+0.056)#280.48(+0.017)#3,502
29.532080.500.44(+0.056)#290.48(+0.016)#3,557
30.548910.490.44(+0.047)#300.48(+0.008)#4,263
31.548260.490.44(+0.044)#310.48(+0.005)#4,542
32.546010.480.44(+0.041)#320.48(+0.002)#4,789
33.545480.480.44(+0.041)#330.48(+0.002)#4,813
34.548680.480.44(+0.040)#340.48(+0.001)#4,938
35.548210.480.44(+0.039)#350.48(=0.000)#5,025
36.544850.480.44(+0.039)#360.48(-0.000)#5,072
37.532090.480.44(+0.039)#370.48(-0.001)#5,086
38.532350.480.44(+0.038)#380.48(-0.002)#5,185
39.530720.480.44(+0.036)#390.48(-0.003)#5,377
40.544490.480.44(+0.035)#400.48(-0.004)#5,437
41.530290.480.44(+0.035)#410.48(-0.004)#5,467
42.544650.480.44(+0.034)#420.48(-0.005)#5,566
43.545620.480.44(+0.034)#430.48(-0.005)#5,575
44.548750.480.44(+0.034)#440.48(-0.005)#5,598
45.549700.480.44(+0.033)#450.48(-0.006)#5,691
46.530510.480.44(+0.033)#460.48(-0.007)#5,716
47.531470.480.44(+0.033)#470.48(-0.007)#5,721
48.535150.480.44(+0.032)#480.48(-0.007)#5,791
49.546150.480.44(+0.032)#490.48(-0.008)#5,880
50.531900.470.44(+0.031)#500.48(-0.008)#5,932
51.531440.470.44(+0.031)#510.48(-0.009)#5,958
52.541380.470.44(+0.030)#520.48(-0.010)#6,106
53.547210.470.44(+0.029)#530.48(-0.010)#6,182
54.531460.470.44(+0.029)#540.48(-0.010)#6,208
55.530610.470.44(+0.029)#550.48(-0.011)#6,252
56.530580.470.44(+0.028)#560.48(-0.011)#6,321
57.530440.470.44(+0.028)#570.48(-0.012)#6,421
58.545310.470.44(+0.027)#580.48(-0.012)#6,462
59.542350.470.44(+0.027)#590.48(-0.012)#6,482
60.532180.470.44(+0.024)#600.48(-0.016)#6,916
61.548930.470.44(+0.024)#610.48(-0.016)#6,925
62.535620.470.44(+0.024)#620.48(-0.016)#6,933
63.530180.470.44(+0.024)#630.48(-0.016)#6,961
64.535600.470.44(+0.024)#640.48(-0.016)#6,965
65.546030.470.44(+0.023)#650.48(-0.017)#7,070
66.548240.470.44(+0.023)#660.48(-0.017)#7,075
67.530460.470.44(+0.023)#670.48(-0.017)#7,087
68.538110.460.44(+0.021)#680.48(-0.018)#7,259
69.547600.460.44(+0.021)#690.48(-0.018)#7,304
70.547010.460.44(+0.021)#700.48(-0.019)#7,346
71.546550.460.44(+0.021)#710.48(-0.019)#7,362
72.535220.460.44(+0.020)#720.48(-0.019)#7,416
73.548720.460.44(+0.019)#730.48(-0.020)#7,552
74.548450.460.44(+0.019)#740.48(-0.020)#7,558
75.548430.460.44(+0.019)#750.48(-0.020)#7,568
76.538180.460.44(+0.019)#760.48(-0.021)#7,623
77.532100.460.44(+0.018)#770.48(-0.021)#7,663
78.545380.460.44(+0.018)#780.48(-0.021)#7,673
79.546390.460.44(+0.018)#790.48(-0.021)#7,674
80.547540.460.44(+0.018)#800.48(-0.022)#7,815
81.545630.460.44(+0.016)#810.48(-0.023)#8,018
82.530120.460.44(+0.016)#820.48(-0.023)#8,050
83.535410.460.44(+0.016)#830.48(-0.024)#8,071
84.548440.460.44(+0.015)#840.48(-0.024)#8,183
85.541210.460.44(+0.015)#850.48(-0.025)#8,240
86.541070.460.44(+0.014)#860.48(-0.025)#8,324
87.548060.460.44(+0.013)#870.48(-0.026)#8,473
88.532040.460.44(+0.013)#880.48(-0.026)#8,493
89.547450.460.44(+0.013)#890.48(-0.027)#8,533
90.544030.460.44(+0.012)#900.48(-0.027)#8,692
91.548590.460.44(+0.012)#910.48(-0.028)#8,723
92.530230.460.44(+0.012)#920.48(-0.028)#8,736
93.535490.450.44(+0.011)#930.48(-0.028)#8,795
94.547490.450.44(+0.011)#940.48(-0.028)#8,855
95.549820.450.44(+0.011)#950.48(-0.029)#8,906
96.548710.450.44(+0.011)#960.48(-0.029)#8,911
97.535770.450.44(+0.010)#970.48(-0.029)#8,944
98.544820.450.44(+0.010)#980.48(-0.030)#9,058
99.534020.450.44(+0.010)#990.48(-0.030)#9,069
100.532260.450.44(+0.009)#1000.48(-0.030)#9,086

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Wisconsin?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Wisconsin are:
#1
0.68
#2
0.61
#3
0.61
#4
0.59
#5
0.56
#6
0.55
#7
0.55
#8
0.55
#9
0.54
#10
0.53
What zip code has the Highest Inequality / Gini Index in Wisconsin?
53947 has the Highest Inequality / Gini Index in Wisconsin with 0.68.
What is the Inequality / Gini Index in the State of Wisconsin?
Inequality / Gini Index in Wisconsin is 0.44.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.