Zip Codes with the Lowest Inequality / Gini Index in Florida

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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
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Florida
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Florida Cities
AlachuaAltamonte SpringsApopkaArcadiaBoca RatonBonita SpringsBoynton BeachBradentonBrandonBrooksvilleCape CoralCasselberryClearwaterClermontCocoaCoral SpringsCrestviewCrystal RiverDade CityDavenportDaytona BeachDeerfield BeachDefuniak SpringsDelandDelray BeachDeltonaDunnellonEdgewaterEnglewoodEustisFort LauderdaleFort MyersFort PierceFort Walton BeachGainesvilleGulf BreezeHialeahHolidayHollywoodHomesteadHomosassaHudsonInvernessJacksonvilleJupiterKissimmeeLake CityLake WalesLake WorthLakelandLand O LakesLargoLeesburgLehigh AcresLive OakLongwoodLutzMariannaMelbourneMerritt IslandMiamiMiami BeachMiltonNaplesNew Port RicheyNew Smyrna BeachNorth Fort MyersNorth PortOcalaOkeechobeeOpa LockaOrange ParkOrlandoOrmond BeachOviedoPalm BayPalm Beach GardensPalm CoastPalm HarborPanama CityPanama City BeachPensacolaPerryPinellas ParkPlant CityPompano BeachPort CharlottePort OrangePort Saint LuciePunta GordaQuincyRiverviewSaint AugustineSaint CloudSaint PetersburgSanfordSarasotaSebastianSebringSeminoleSpring HillStuartTallahasseeTampaTarpon SpringsThe VillagesTitusvilleValricoVeniceVero BeachWesley ChapelWest Palm BeachWewahitchkaWinter HavenWinter ParkZephyrhills
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Lowest Inequality / Gini Index in Florida

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Zip Codes with the Lowest Inequality / Gini Index in Florida Map

Zip Codes with the Lowest Inequality / Gini Index in Florida

Zip Code Inequality / Gini Index vs State vs National
1.320720.010.49(-0.477)#10.48(-0.474)#14
2.320130.040.49(-0.442)#20.48(-0.440)#74
3.338350.050.49(-0.433)#30.48(-0.430)#99
4.326810.060.49(-0.426)#40.48(-0.423)#115
5.328310.060.49(-0.422)#50.48(-0.419)#120
6.339440.090.49(-0.399)#60.48(-0.396)#176
7.329700.110.49(-0.372)#70.48(-0.369)#256
8.338580.150.49(-0.340)#80.48(-0.337)#373
9.321330.160.49(-0.327)#90.48(-0.324)#421
10.326580.170.49(-0.319)#100.48(-0.316)#460
11.326390.200.49(-0.288)#110.48(-0.285)#648
12.346790.200.49(-0.287)#120.48(-0.284)#657
13.326830.200.49(-0.286)#130.48(-0.283)#668
14.341380.210.49(-0.278)#140.48(-0.275)#723
15.341400.210.49(-0.273)#150.48(-0.270)#762
16.328300.230.49(-0.259)#160.48(-0.257)#906
17.324030.240.49(-0.246)#170.48(-0.243)#1,035
18.338560.240.49(-0.246)#180.48(-0.243)#1,046
19.342500.240.49(-0.241)#190.48(-0.238)#1,088
20.339650.250.49(-0.235)#200.48(-0.232)#1,182
21.341370.250.49(-0.235)#210.48(-0.232)#1,186
22.336210.250.49(-0.232)#220.48(-0.229)#1,234
23.342890.260.49(-0.229)#230.48(-0.226)#1,283
24.347530.260.49(-0.221)#240.48(-0.218)#1,380
25.338470.280.49(-0.206)#250.48(-0.203)#1,679
26.322270.290.49(-0.198)#260.48(-0.195)#1,849
27.326640.290.49(-0.197)#270.48(-0.194)#1,883
28.342680.290.49(-0.192)#280.48(-0.190)#1,984
29.326920.290.49(-0.191)#290.48(-0.188)#2,029
30.338550.300.49(-0.186)#300.48(-0.183)#2,145
31.331940.300.49(-0.186)#310.48(-0.183)#2,157
32.323610.310.49(-0.177)#320.48(-0.174)#2,515
33.325440.310.49(-0.171)#330.48(-0.168)#2,738
34.321570.320.49(-0.165)#340.48(-0.162)#3,084
35.339760.330.49(-0.160)#350.48(-0.157)#3,306
36.335140.330.49(-0.157)#360.48(-0.154)#3,496
37.342910.330.49(-0.156)#370.48(-0.153)#3,540
38.339240.330.49(-0.155)#380.48(-0.152)#3,629
39.338670.330.49(-0.155)#390.48(-0.152)#3,645
40.327350.330.49(-0.152)#400.48(-0.149)#3,812
41.323300.340.49(-0.150)#410.48(-0.147)#3,953
42.325420.340.49(-0.150)#420.48(-0.147)#3,962
43.335210.340.49(-0.148)#430.48(-0.145)#4,128
44.347970.340.49(-0.145)#440.48(-0.142)#4,379
45.349810.340.49(-0.143)#450.48(-0.140)#4,483
46.320870.340.49(-0.143)#460.48(-0.140)#4,484
47.326970.340.49(-0.143)#470.48(-0.140)#4,499
48.335450.340.49(-0.142)#480.48(-0.139)#4,576
49.335030.340.49(-0.141)#490.48(-0.138)#4,663
50.324230.350.49(-0.140)#500.48(-0.137)#4,770
51.321390.350.49(-0.139)#510.48(-0.136)#4,835
52.324300.350.49(-0.138)#520.48(-0.135)#4,875
53.347140.350.49(-0.137)#530.48(-0.134)#4,985
54.326480.350.49(-0.136)#540.48(-0.134)#5,042
55.347720.350.49(-0.136)#550.48(-0.133)#5,112
56.320830.350.49(-0.135)#560.48(-0.132)#5,163
57.349870.350.49(-0.133)#570.48(-0.130)#5,398
58.330290.350.49(-0.132)#580.48(-0.129)#5,453
59.322120.360.49(-0.129)#590.48(-0.126)#5,788
60.339740.360.49(-0.127)#600.48(-0.124)#5,992
61.323170.360.49(-0.127)#610.48(-0.124)#6,022
62.341170.360.49(-0.127)#620.48(-0.124)#6,034
63.347580.360.49(-0.127)#630.48(-0.124)#6,044
64.322220.360.49(-0.126)#640.48(-0.123)#6,101
65.324490.360.49(-0.126)#650.48(-0.123)#6,149
66.335960.360.49(-0.125)#660.48(-0.122)#6,273
67.335790.360.49(-0.124)#670.48(-0.121)#6,305
68.330350.360.49(-0.124)#680.48(-0.121)#6,341
69.335980.360.49(-0.124)#690.48(-0.121)#6,365
70.331870.360.49(-0.124)#700.48(-0.121)#6,366
71.338120.360.49(-0.124)#710.48(-0.121)#6,404
72.325080.360.49(-0.123)#720.48(-0.120)#6,454
73.329500.360.49(-0.123)#730.48(-0.120)#6,510
74.330010.360.49(-0.122)#740.48(-0.119)#6,633
75.347150.370.49(-0.120)#750.48(-0.117)#6,835
76.338960.370.49(-0.120)#760.48(-0.117)#6,852
77.337710.370.49(-0.119)#770.48(-0.116)#6,929
78.328290.370.49(-0.119)#780.48(-0.116)#6,932
79.347430.370.49(-0.119)#790.48(-0.116)#6,957
80.338590.370.49(-0.119)#800.48(-0.116)#6,962
81.346140.370.49(-0.119)#810.48(-0.116)#7,024
82.324260.370.49(-0.118)#820.48(-0.116)#7,057
83.329080.370.49(-0.118)#830.48(-0.115)#7,110
84.321890.370.49(-0.118)#840.48(-0.115)#7,112
85.327660.370.49(-0.116)#850.48(-0.113)#7,426
86.320920.370.49(-0.114)#860.48(-0.112)#7,554
87.328240.370.49(-0.114)#870.48(-0.111)#7,568
88.328330.370.49(-0.114)#880.48(-0.111)#7,606
89.339090.370.49(-0.114)#890.48(-0.111)#7,672
90.320960.370.49(-0.114)#900.48(-0.111)#7,679
91.329040.370.49(-0.113)#910.48(-0.110)#7,731
92.334260.370.49(-0.113)#920.48(-0.110)#7,783
93.339910.370.49(-0.113)#930.48(-0.110)#7,799
94.322200.370.49(-0.112)#940.48(-0.109)#7,896
95.329680.370.49(-0.112)#950.48(-0.109)#7,917
96.321280.380.49(-0.110)#960.48(-0.107)#8,136
97.339730.380.49(-0.110)#970.48(-0.107)#8,138
98.320030.380.49(-0.110)#980.48(-0.107)#8,170
99.347710.380.49(-0.110)#990.48(-0.107)#8,188
100.321240.380.49(-0.110)#1000.48(-0.107)#8,254

Common Questions

What are the Top 10 Zip Codes with the Lowest Inequality / Gini Index in Florida?
Top 10 Zip Codes with the Lowest Inequality / Gini Index in Florida are:
#1
0.01
#2
0.04
#3
0.05
#4
0.06
#5
0.06
#6
0.09
#7
0.11
#8
0.15
#9
0.16
#10
0.17
What zip code has the Lowest Inequality / Gini Index in Florida?
32072 has the Lowest Inequality / Gini Index in Florida with 0.01.
What is the Inequality / Gini Index in the State of Florida?
Inequality / Gini Index in Florida is 0.49.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.