Zip Codes with the Highest Inequality / Gini Index in Louisiana

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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
Louisiana
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Comparison Subject

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

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Zip Codes with the Highest Inequality / Gini Index in Louisiana Map

Zip Codes with the Highest Inequality / Gini Index in Louisiana

Zip Code Inequality / Gini Index vs State vs National
1.714970.820.50(+0.323)#10.48(+0.336)#5
2.707210.740.50(+0.249)#20.48(+0.262)#19
3.701480.720.50(+0.222)#30.48(+0.234)#41
4.703770.680.50(+0.181)#40.48(+0.193)#84
5.706610.670.50(+0.172)#50.48(+0.184)#103
6.713200.650.50(+0.157)#60.48(+0.169)#134
7.710270.650.50(+0.151)#70.48(+0.164)#149
8.707560.630.50(+0.135)#80.48(+0.147)#197
9.712540.630.50(+0.133)#90.48(+0.145)#204
10.713220.610.50(+0.111)#100.48(+0.123)#330
11.701180.600.50(+0.108)#110.48(+0.120)#348
12.701130.600.50(+0.103)#120.48(+0.115)#386
13.708200.600.50(+0.103)#130.48(+0.115)#392
14.711060.590.50(+0.097)#140.48(+0.109)#435
15.704220.590.50(+0.091)#150.48(+0.103)#504
16.705890.580.50(+0.087)#160.48(+0.099)#555
17.704640.580.50(+0.083)#170.48(+0.095)#589
18.706010.580.50(+0.082)#180.48(+0.095)#597
19.708080.580.50(+0.081)#190.48(+0.094)#607
20.705520.570.50(+0.079)#200.48(+0.092)#646
21.712560.570.50(+0.078)#210.48(+0.090)#676
22.712290.570.50(+0.074)#220.48(+0.087)#724
23.708070.570.50(+0.074)#230.48(+0.086)#738
24.703410.570.50(+0.071)#240.48(+0.083)#779
25.701160.560.50(+0.070)#250.48(+0.082)#809
26.707880.560.50(+0.070)#260.48(+0.082)#810
27.707500.560.50(+0.069)#270.48(+0.081)#830
28.713400.560.50(+0.068)#280.48(+0.081)#839
29.701120.560.50(+0.066)#290.48(+0.079)#878
30.712010.560.50(+0.065)#300.48(+0.077)#902
31.700580.560.50(+0.064)#310.48(+0.077)#923
32.712600.560.50(+0.064)#320.48(+0.076)#934
33.710400.560.50(+0.061)#330.48(+0.074)#991
34.707470.560.50(+0.061)#340.48(+0.073)#1,008
35.712610.560.50(+0.060)#350.48(+0.073)#1,019
36.701250.550.50(+0.059)#360.48(+0.071)#1,052
37.714180.550.50(+0.059)#370.48(+0.071)#1,053
38.712230.550.50(+0.057)#380.48(+0.070)#1,084
39.701170.550.50(+0.056)#390.48(+0.069)#1,105
40.707360.550.50(+0.056)#400.48(+0.069)#1,108
41.705260.550.50(+0.056)#410.48(+0.069)#1,109
42.712220.550.50(+0.056)#420.48(+0.068)#1,127
43.708020.550.50(+0.054)#430.48(+0.066)#1,167
44.713690.550.50(+0.054)#440.48(+0.066)#1,170
45.713010.550.50(+0.050)#450.48(+0.062)#1,276
46.710650.540.50(+0.049)#460.48(+0.062)#1,287
47.712820.540.50(+0.048)#470.48(+0.060)#1,338
48.700410.540.50(+0.046)#480.48(+0.059)#1,370
49.705030.540.50(+0.046)#490.48(+0.058)#1,400
50.701300.540.50(+0.045)#500.48(+0.058)#1,407
51.704500.540.50(+0.044)#510.48(+0.056)#1,471
52.714570.540.50(+0.043)#520.48(+0.056)#1,490
53.711010.540.50(+0.041)#530.48(+0.053)#1,562
54.710550.540.50(+0.041)#540.48(+0.053)#1,578
55.713340.540.50(+0.040)#550.48(+0.053)#1,591
56.714060.530.50(+0.038)#560.48(+0.050)#1,670
57.712700.530.50(+0.037)#570.48(+0.050)#1,688
58.714110.530.50(+0.037)#580.48(+0.050)#1,692
59.703540.530.50(+0.034)#590.48(+0.046)#1,812
60.708060.530.50(+0.033)#600.48(+0.045)#1,844
61.705340.530.50(+0.032)#610.48(+0.044)#1,880
62.706380.530.50(+0.031)#620.48(+0.044)#1,915
63.712030.530.50(+0.031)#630.48(+0.043)#1,921
64.708050.520.50(+0.029)#640.48(+0.042)#2,011
65.713780.520.50(+0.029)#650.48(+0.041)#2,024
66.714650.520.50(+0.028)#660.48(+0.040)#2,104
67.701190.520.50(+0.028)#670.48(+0.040)#2,114
68.710680.520.50(+0.028)#680.48(+0.040)#2,119
69.701150.520.50(+0.027)#690.48(+0.040)#2,124
70.703460.520.50(+0.025)#700.48(+0.037)#2,226
71.701270.520.50(+0.025)#710.48(+0.037)#2,232
72.713250.520.50(+0.025)#720.48(+0.037)#2,245
73.713310.520.50(+0.024)#730.48(+0.036)#2,306
74.700300.520.50(+0.024)#740.48(+0.036)#2,309
75.710670.520.50(+0.023)#750.48(+0.036)#2,321
76.701220.520.50(+0.023)#760.48(+0.035)#2,342
77.714490.520.50(+0.022)#770.48(+0.035)#2,366
78.707830.520.50(+0.020)#780.48(+0.032)#2,504
79.713580.510.50(+0.019)#790.48(+0.032)#2,532
80.712330.510.50(+0.019)#800.48(+0.031)#2,564
81.712410.510.50(+0.018)#810.48(+0.030)#2,605
82.713020.510.50(+0.018)#820.48(+0.030)#2,622
83.711040.510.50(+0.017)#830.48(+0.029)#2,664
84.707480.510.50(+0.017)#840.48(+0.029)#2,689
85.712270.510.50(+0.016)#850.48(+0.028)#2,711
86.708120.510.50(+0.016)#860.48(+0.028)#2,728
87.704710.510.50(+0.015)#870.48(+0.027)#2,764
88.701140.510.50(+0.015)#880.48(+0.027)#2,774
89.712320.510.50(+0.015)#890.48(+0.027)#2,789
90.700530.510.50(+0.015)#900.48(+0.027)#2,804
91.705600.510.50(+0.014)#910.48(+0.026)#2,859
92.703570.510.50(+0.012)#920.48(+0.025)#2,953
93.711070.510.50(+0.012)#930.48(+0.024)#2,959
94.710040.510.50(+0.011)#940.48(+0.023)#3,051
95.714040.510.50(+0.011)#950.48(+0.023)#3,063
96.712950.510.50(+0.011)#960.48(+0.023)#3,068
97.710610.510.50(+0.010)#970.48(+0.023)#3,089
98.701290.510.50(+0.010)#980.48(+0.022)#3,121
99.705350.500.50(+0.010)#990.48(+0.022)#3,134
100.713660.500.50(+0.009)#1000.48(+0.021)#3,191

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Louisiana?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Louisiana are:
#1
0.82
#2
0.74
#3
0.72
#4
0.68
#5
0.67
#6
0.65
#7
0.65
#8
0.63
#9
0.63
#10
0.61
What zip code has the Highest Inequality / Gini Index in Louisiana?
71497 has the Highest Inequality / Gini Index in Louisiana with 0.82.
What is the Inequality / Gini Index in the State of Louisiana?
Inequality / Gini Index in Louisiana is 0.50.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.