Zip Codes with the Highest Inequality / Gini Index in New York

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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
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Education by Degree Field
Occupancy
Finances
Physical Characteristics
New York
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Comparison Subject

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

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Zip Codes with the Highest Inequality / Gini Index in New York Map

Zip Codes with the Highest Inequality / Gini Index in New York

Zip Code Inequality / Gini Index vs State vs National
1.143020.830.51(+0.315)#10.48(+0.347)#3
2.109850.800.51(+0.285)#20.48(+0.317)#7
3.124710.790.51(+0.276)#30.48(+0.308)#9
4.110050.720.51(+0.208)#40.48(+0.239)#35
5.136210.680.51(+0.168)#50.48(+0.200)#76
6.127430.680.51(+0.164)#60.48(+0.195)#82
7.119620.670.51(+0.154)#70.48(+0.185)#100
8.119700.650.51(+0.132)#80.48(+0.164)#147
9.133550.640.51(+0.124)#90.48(+0.155)#174
10.136070.640.51(+0.122)#100.48(+0.153)#180
11.124100.630.51(+0.119)#110.48(+0.151)#190
12.147220.630.51(+0.116)#120.48(+0.148)#195
13.121160.630.51(+0.116)#130.48(+0.148)#196
14.100130.630.51(+0.114)#140.48(+0.146)#199
15.100290.620.51(+0.107)#150.48(+0.139)#231
16.124420.620.51(+0.104)#160.48(+0.135)#250
17.100750.620.51(+0.102)#170.48(+0.133)#263
18.105070.610.51(+0.098)#180.48(+0.130)#282
19.132020.610.51(+0.097)#190.48(+0.129)#286
20.127320.610.51(+0.092)#200.48(+0.124)#320
21.125450.600.51(+0.089)#210.48(+0.120)#347
22.124060.600.51(+0.087)#220.48(+0.119)#363
23.147540.600.51(+0.086)#230.48(+0.118)#370
24.119570.600.51(+0.085)#240.48(+0.116)#377
25.124960.600.51(+0.084)#250.48(+0.116)#380
26.100020.600.51(+0.084)#260.48(+0.115)#385
27.100270.600.51(+0.081)#270.48(+0.113)#411
28.100350.590.51(+0.077)#280.48(+0.108)#445
29.115480.590.51(+0.075)#290.48(+0.107)#460
30.124930.590.51(+0.074)#300.48(+0.106)#478
31.127470.590.51(+0.074)#310.48(+0.106)#479
32.124980.590.51(+0.073)#320.48(+0.105)#491
33.146050.590.51(+0.072)#330.48(+0.103)#505
34.124610.580.51(+0.070)#340.48(+0.102)#518
35.136430.580.51(+0.069)#350.48(+0.100)#539
36.130760.580.51(+0.066)#360.48(+0.098)#563
37.146040.580.51(+0.066)#370.48(+0.098)#566
38.100190.580.51(+0.065)#380.48(+0.096)#577
39.105950.580.51(+0.063)#390.48(+0.095)#595
40.119350.580.51(+0.062)#400.48(+0.093)#615
41.119680.580.51(+0.061)#410.48(+0.093)#620
42.142020.580.51(+0.061)#420.48(+0.093)#621
43.119630.580.51(+0.061)#430.48(+0.093)#625
44.121170.580.51(+0.061)#440.48(+0.093)#628
45.100690.570.51(+0.060)#450.48(+0.092)#645
46.100250.570.51(+0.059)#460.48(+0.091)#654
47.124660.570.51(+0.058)#470.48(+0.090)#667
48.134100.570.51(+0.058)#480.48(+0.090)#677
49.124830.570.51(+0.058)#490.48(+0.089)#685
50.109870.570.51(+0.057)#500.48(+0.088)#695
51.100240.570.51(+0.053)#510.48(+0.085)#751
52.124640.570.51(+0.053)#520.48(+0.085)#752
53.124630.570.51(+0.053)#530.48(+0.085)#759
54.149030.570.51(+0.053)#540.48(+0.084)#763
55.115590.570.51(+0.051)#550.48(+0.083)#781
56.107080.570.51(+0.051)#560.48(+0.083)#799
57.100300.560.51(+0.050)#570.48(+0.082)#807
58.100090.560.51(+0.050)#580.48(+0.082)#815
59.143030.560.51(+0.049)#590.48(+0.081)#823
60.100230.560.51(+0.049)#600.48(+0.081)#825
61.125010.560.51(+0.049)#610.48(+0.081)#831
62.119780.560.51(+0.049)#620.48(+0.081)#835
63.125290.560.51(+0.049)#630.48(+0.081)#837
64.119750.560.51(+0.048)#640.48(+0.080)#847
65.101280.560.51(+0.048)#650.48(+0.080)#858
66.100030.560.51(+0.048)#660.48(+0.080)#859
67.125920.560.51(+0.048)#670.48(+0.080)#863
68.100370.560.51(+0.048)#680.48(+0.079)#864
69.127790.560.51(+0.047)#690.48(+0.079)#873
70.142010.560.51(+0.046)#700.48(+0.078)#894
71.100110.560.51(+0.045)#710.48(+0.077)#905
72.128490.560.51(+0.045)#720.48(+0.077)#908
73.100220.560.51(+0.045)#730.48(+0.077)#917
74.104540.560.51(+0.045)#740.48(+0.077)#922
75.100260.560.51(+0.044)#750.48(+0.076)#928
76.112310.560.51(+0.044)#760.48(+0.076)#937
77.100100.560.51(+0.044)#770.48(+0.076)#947
78.115600.560.51(+0.042)#780.48(+0.074)#982
79.112050.560.51(+0.042)#790.48(+0.074)#983
80.100330.560.51(+0.041)#800.48(+0.073)#1,007
81.133130.550.51(+0.040)#810.48(+0.072)#1,040
82.105180.550.51(+0.040)#820.48(+0.072)#1,044
83.109640.550.51(+0.039)#830.48(+0.071)#1,058
84.147480.550.51(+0.039)#840.48(+0.071)#1,059
85.100010.550.51(+0.038)#850.48(+0.070)#1,070
86.100210.550.51(+0.038)#860.48(+0.070)#1,079
87.100120.550.51(+0.038)#870.48(+0.069)#1,086
88.124680.550.51(+0.037)#880.48(+0.069)#1,099
89.104510.550.51(+0.035)#890.48(+0.067)#1,153
90.100280.550.51(+0.034)#900.48(+0.066)#1,169
91.100140.550.51(+0.034)#910.48(+0.065)#1,190
92.119440.550.51(+0.031)#920.48(+0.063)#1,249
93.112240.550.51(+0.031)#930.48(+0.063)#1,256
94.134250.540.51(+0.030)#940.48(+0.062)#1,284
95.106060.540.51(+0.030)#950.48(+0.062)#1,286
96.127750.540.51(+0.029)#960.48(+0.061)#1,316
97.112490.540.51(+0.028)#970.48(+0.059)#1,349
98.100360.540.51(+0.027)#980.48(+0.059)#1,365
99.127360.540.51(+0.027)#990.48(+0.058)#1,375
100.128330.540.51(+0.026)#1000.48(+0.058)#1,396

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in New York?
Top 10 Zip Codes with the Highest Inequality / Gini Index in New York are:
#1
0.83
#2
0.80
#3
0.79
#4
0.72
#5
0.68
#6
0.68
#7
0.67
#8
0.65
#9
0.64
#10
0.64
What zip code has the Highest Inequality / Gini Index in New York?
14302 has the Highest Inequality / Gini Index in New York with 0.83.
What is the Inequality / Gini Index in the State of New York?
Inequality / Gini Index in New York is 0.51.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.