Zip Codes with the Lowest Inequality / Gini Index in Wisconsin

RELATED REPORTS & OPTIONS

Lowest 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 Lowest Inequality / Gini Index in Wisconsin

0.40
0.00
Zip Codes with the Lowest Inequality / Gini Index in Wisconsin Map

Zip Codes with the Lowest Inequality / Gini Index in Wisconsin

Zip Code Inequality / Gini Index vs State vs National
1.531760.080.44(-0.366)#10.48(-0.406)#149
2.535010.110.44(-0.334)#20.48(-0.374)#243
3.530310.120.44(-0.324)#30.48(-0.363)#278
4.531270.190.44(-0.249)#40.48(-0.289)#629
5.549780.200.44(-0.240)#50.48(-0.279)#696
6.544170.200.44(-0.239)#60.48(-0.278)#704
7.531920.220.44(-0.227)#70.48(-0.266)#800
8.539280.230.44(-0.216)#80.48(-0.255)#921
9.538120.230.44(-0.211)#90.48(-0.250)#968
10.530470.240.44(-0.203)#100.48(-0.242)#1,053
11.538020.240.44(-0.200)#110.48(-0.239)#1,079
12.538170.250.44(-0.197)#120.48(-0.236)#1,122
13.530690.260.44(-0.188)#130.48(-0.228)#1,250
14.537060.260.44(-0.180)#140.48(-0.219)#1,368
15.531950.270.44(-0.176)#150.48(-0.215)#1,425
16.539110.270.44(-0.174)#160.48(-0.214)#1,445
17.535570.270.44(-0.172)#170.48(-0.212)#1,483
18.549790.270.44(-0.169)#180.48(-0.209)#1,542
19.535400.280.44(-0.167)#190.48(-0.207)#1,582
20.542070.280.44(-0.165)#200.48(-0.205)#1,636
21.541600.280.44(-0.159)#210.48(-0.199)#1,772
22.541230.280.44(-0.159)#220.48(-0.198)#1,779
23.546250.290.44(-0.158)#230.48(-0.198)#1,797
24.542290.290.44(-0.153)#240.48(-0.193)#1,912
25.530570.300.44(-0.148)#250.48(-0.187)#2,045
26.531530.300.44(-0.147)#260.48(-0.187)#2,050
27.539420.300.44(-0.147)#270.48(-0.186)#2,056
28.539530.300.44(-0.146)#280.48(-0.186)#2,081
29.530780.300.44(-0.143)#290.48(-0.183)#2,166
30.539690.300.44(-0.141)#300.48(-0.180)#2,258
31.549280.300.44(-0.140)#310.48(-0.180)#2,275
32.539350.300.44(-0.140)#320.48(-0.179)#2,289
33.544230.300.44(-0.139)#330.48(-0.178)#2,339
34.530020.310.44(-0.137)#340.48(-0.177)#2,382
35.530650.310.44(-0.136)#350.48(-0.175)#2,443
36.541710.310.44(-0.135)#360.48(-0.175)#2,490
37.547480.310.44(-0.134)#370.48(-0.173)#2,547
38.544300.320.44(-0.128)#380.48(-0.167)#2,800
39.540230.320.44(-0.127)#390.48(-0.167)#2,823
40.531190.320.44(-0.127)#400.48(-0.166)#2,827
41.545610.320.44(-0.127)#410.48(-0.166)#2,859
42.539220.320.44(-0.125)#420.48(-0.164)#2,947
43.541250.320.44(-0.125)#430.48(-0.164)#2,950
44.530150.320.44(-0.125)#440.48(-0.164)#2,963
45.530350.320.44(-0.122)#450.48(-0.161)#3,104
46.548560.320.44(-0.122)#460.48(-0.161)#3,110
47.549320.320.44(-0.121)#470.48(-0.161)#3,120
48.538100.320.44(-0.121)#480.48(-0.160)#3,152
49.546440.330.44(-0.118)#490.48(-0.158)#3,293
50.531670.330.44(-0.118)#500.48(-0.157)#3,305
51.531030.330.44(-0.118)#510.48(-0.157)#3,324
52.548610.330.44(-0.118)#520.48(-0.157)#3,331
53.541200.330.44(-0.117)#530.48(-0.156)#3,359
54.540250.330.44(-0.117)#540.48(-0.156)#3,388
55.541520.330.44(-0.115)#550.48(-0.154)#3,483
56.540140.330.44(-0.115)#560.48(-0.154)#3,497
57.540090.330.44(-0.115)#570.48(-0.154)#3,502
58.530790.330.44(-0.115)#580.48(-0.154)#3,513
59.548130.330.44(-0.113)#590.48(-0.153)#3,576
60.549800.330.44(-0.113)#600.48(-0.152)#3,628
61.544430.330.44(-0.112)#610.48(-0.151)#3,694
62.530370.330.44(-0.112)#620.48(-0.151)#3,700
63.541040.330.44(-0.111)#630.48(-0.150)#3,733
64.549310.330.44(-0.110)#640.48(-0.150)#3,787
65.544270.330.44(-0.110)#650.48(-0.149)#3,841
66.544900.330.44(-0.109)#660.48(-0.149)#3,877
67.546240.330.44(-0.109)#670.48(-0.148)#3,911
68.535270.340.44(-0.107)#680.48(-0.147)#4,014
69.541650.340.44(-0.106)#690.48(-0.146)#4,074
70.538270.340.44(-0.106)#700.48(-0.145)#4,142
71.540820.340.44(-0.105)#710.48(-0.144)#4,190
72.535500.340.44(-0.105)#720.48(-0.144)#4,205
73.548420.340.44(-0.105)#730.48(-0.144)#4,208
74.544180.340.44(-0.104)#740.48(-0.143)#4,291
75.549620.340.44(-0.103)#750.48(-0.143)#4,320
76.548360.340.44(-0.103)#760.48(-0.142)#4,380
77.530930.340.44(-0.102)#770.48(-0.142)#4,392
78.539200.340.44(-0.102)#780.48(-0.142)#4,409
79.540170.340.44(-0.101)#790.48(-0.141)#4,458
80.535290.340.44(-0.101)#800.48(-0.141)#4,468
81.544580.340.44(-0.101)#810.48(-0.141)#4,473
82.535690.340.44(-0.100)#820.48(-0.140)#4,565
83.530170.340.44(-0.100)#830.48(-0.139)#4,602
84.549740.340.44(-0.099)#840.48(-0.138)#4,647
85.535060.350.44(-0.098)#850.48(-0.137)#4,715
86.530360.350.44(-0.098)#860.48(-0.137)#4,722
87.544790.350.44(-0.097)#870.48(-0.137)#4,766
88.541800.350.44(-0.097)#880.48(-0.137)#4,768
89.544130.350.44(-0.097)#890.48(-0.137)#4,773
90.547390.350.44(-0.096)#900.48(-0.135)#4,908
91.548550.350.44(-0.094)#910.48(-0.134)#5,036
92.530400.350.44(-0.094)#920.48(-0.133)#5,079
93.535360.350.44(-0.093)#930.48(-0.133)#5,102
94.535080.350.44(-0.093)#940.48(-0.133)#5,130
95.544480.350.44(-0.093)#950.48(-0.133)#5,132
96.547560.350.44(-0.093)#960.48(-0.132)#5,150
97.548740.350.44(-0.093)#970.48(-0.132)#5,161
98.544120.350.44(-0.093)#980.48(-0.132)#5,182
99.542270.350.44(-0.093)#990.48(-0.132)#5,194
100.546100.350.44(-0.092)#1000.48(-0.131)#5,261

Common Questions

What are the Top 10 Zip Codes with the Lowest Inequality / Gini Index in Wisconsin?
Top 10 Zip Codes with the Lowest Inequality / Gini Index in Wisconsin are:
#1
0.08
#2
0.11
#3
0.12
#4
0.19
#5
0.20
#6
0.20
#7
0.22
#8
0.23
#9
0.23
#10
0.24
What zip code has the Lowest Inequality / Gini Index in Wisconsin?
53176 has the Lowest Inequality / Gini Index in Wisconsin with 0.08.
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.