Zip Codes with the Highest Inequality / Gini Index in Pennsylvania

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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
Pennsylvania
Compare Zip Codes
Comparison Subject

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

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

Zip Codes with the Highest Inequality / Gini Index in Pennsylvania

Zip Code Inequality / Gini Index vs State vs National
1.168470.790.47(+0.316)#10.48(+0.306)#10
2.179520.690.47(+0.212)#20.48(+0.202)#74
3.154790.650.47(+0.177)#30.48(+0.167)#137
4.184510.650.47(+0.174)#40.48(+0.164)#142
5.176060.640.47(+0.170)#50.48(+0.160)#161
6.152130.620.47(+0.148)#60.48(+0.138)#235
7.157640.620.47(+0.142)#70.48(+0.132)#266
8.157300.610.47(+0.136)#80.48(+0.126)#306
9.170300.600.47(+0.128)#90.48(+0.118)#368
10.152080.600.47(+0.124)#100.48(+0.114)#400
11.179490.590.47(+0.118)#110.48(+0.108)#450
12.151040.580.47(+0.108)#120.48(+0.099)#558
13.155380.580.47(+0.107)#130.48(+0.097)#570
14.150070.580.47(+0.106)#140.48(+0.096)#582
15.193830.580.47(+0.105)#150.48(+0.095)#587
16.191040.570.47(+0.101)#160.48(+0.091)#656
17.194360.570.47(+0.100)#170.48(+0.091)#658
18.191390.570.47(+0.099)#180.48(+0.089)#686
19.154160.570.47(+0.099)#190.48(+0.089)#689
20.163520.570.47(+0.097)#200.48(+0.087)#713
21.191220.570.47(+0.097)#210.48(+0.087)#715
22.161210.570.47(+0.093)#220.48(+0.083)#790
23.180150.570.47(+0.093)#230.48(+0.083)#791
24.169410.560.47(+0.092)#240.48(+0.082)#812
25.191020.560.47(+0.090)#250.48(+0.080)#844
26.191320.560.47(+0.090)#260.48(+0.080)#851
27.191210.560.47(+0.089)#270.48(+0.080)#861
28.152150.560.47(+0.088)#280.48(+0.078)#884
29.190410.560.47(+0.085)#290.48(+0.075)#960
30.152170.560.47(+0.084)#300.48(+0.074)#980
31.152190.560.47(+0.084)#310.48(+0.074)#986
32.191180.560.47(+0.082)#320.48(+0.072)#1,025
33.184390.550.47(+0.079)#330.48(+0.069)#1,104
34.156190.550.47(+0.078)#340.48(+0.068)#1,116
35.185070.550.47(+0.076)#350.48(+0.066)#1,179
36.158680.550.47(+0.073)#360.48(+0.063)#1,238
37.190100.550.47(+0.073)#370.48(+0.063)#1,241
38.184410.540.47(+0.070)#380.48(+0.061)#1,324
39.180770.540.47(+0.069)#390.48(+0.060)#1,345
40.184710.540.47(+0.068)#400.48(+0.058)#1,380
41.189230.540.47(+0.067)#410.48(+0.057)#1,424
42.183360.540.47(+0.067)#420.48(+0.057)#1,430
43.177310.540.47(+0.067)#430.48(+0.057)#1,432
44.191070.540.47(+0.067)#440.48(+0.057)#1,444
45.154550.540.47(+0.066)#450.48(+0.056)#1,455
46.157290.540.47(+0.066)#460.48(+0.056)#1,458
47.151480.540.47(+0.066)#470.48(+0.056)#1,464
48.191030.540.47(+0.066)#480.48(+0.056)#1,467
49.156730.540.47(+0.065)#490.48(+0.056)#1,488
50.194920.540.47(+0.065)#500.48(+0.055)#1,514
51.178370.540.47(+0.064)#510.48(+0.055)#1,520
52.154630.540.47(+0.064)#520.48(+0.054)#1,530
53.152320.540.47(+0.063)#530.48(+0.053)#1,575
54.150750.530.47(+0.059)#540.48(+0.049)#1,702
55.183310.530.47(+0.059)#550.48(+0.049)#1,704
56.166770.530.47(+0.058)#560.48(+0.049)#1,719
57.163320.530.47(+0.057)#570.48(+0.048)#1,762
58.191330.530.47(+0.057)#580.48(+0.047)#1,783
59.151420.530.47(+0.057)#590.48(+0.047)#1,787
60.160220.530.47(+0.056)#600.48(+0.046)#1,805
61.196110.530.47(+0.055)#610.48(+0.045)#1,843
62.152380.530.47(+0.055)#620.48(+0.045)#1,858
63.161100.530.47(+0.055)#630.48(+0.045)#1,859
64.190460.530.47(+0.054)#640.48(+0.044)#1,885
65.190040.520.47(+0.052)#650.48(+0.042)#1,989
66.191440.520.47(+0.052)#660.48(+0.042)#1,996
67.165010.520.47(+0.051)#670.48(+0.041)#2,017
68.168030.520.47(+0.051)#680.48(+0.041)#2,043
69.151430.520.47(+0.049)#690.48(+0.039)#2,150
70.168700.520.47(+0.049)#700.48(+0.039)#2,152
71.163260.520.47(+0.049)#710.48(+0.039)#2,153
72.190720.520.47(+0.047)#720.48(+0.037)#2,255
73.158610.520.47(+0.046)#730.48(+0.036)#2,271
74.194530.520.47(+0.046)#740.48(+0.036)#2,298
75.153510.520.47(+0.045)#750.48(+0.036)#2,313
76.190950.520.47(+0.045)#760.48(+0.036)#2,318
77.150280.520.47(+0.044)#770.48(+0.034)#2,375
78.190310.520.47(+0.043)#780.48(+0.033)#2,448
79.151370.520.47(+0.043)#790.48(+0.033)#2,454
80.154620.520.47(+0.042)#800.48(+0.032)#2,501
81.191290.510.47(+0.041)#810.48(+0.031)#2,548
82.159010.510.47(+0.041)#820.48(+0.031)#2,557
83.153760.510.47(+0.041)#830.48(+0.031)#2,561
84.152330.510.47(+0.041)#840.48(+0.031)#2,570
85.171020.510.47(+0.040)#850.48(+0.030)#2,592
86.189380.510.47(+0.040)#860.48(+0.030)#2,598
87.191190.510.47(+0.040)#870.48(+0.030)#2,611
88.150340.510.47(+0.040)#880.48(+0.030)#2,614
89.184540.510.47(+0.039)#890.48(+0.030)#2,645
90.153330.510.47(+0.038)#900.48(+0.028)#2,722
91.165030.510.47(+0.038)#910.48(+0.028)#2,743
92.152060.510.47(+0.037)#920.48(+0.027)#2,763
93.191430.510.47(+0.037)#930.48(+0.027)#2,793
94.170330.510.47(+0.036)#940.48(+0.026)#2,855
95.152030.510.47(+0.035)#950.48(+0.025)#2,903
96.172210.510.47(+0.035)#960.48(+0.025)#2,909
97.190960.510.47(+0.035)#970.48(+0.025)#2,935
98.190250.510.47(+0.034)#980.48(+0.024)#2,994
99.159310.510.47(+0.033)#990.48(+0.023)#3,069
100.150830.510.47(+0.033)#1000.48(+0.023)#3,072

Common Questions

What are the Top 10 Zip Codes with the Highest Inequality / Gini Index in Pennsylvania?
Top 10 Zip Codes with the Highest Inequality / Gini Index in Pennsylvania are:
#1
0.79
#2
0.69
#3
0.65
#4
0.65
#5
0.64
#6
0.62
#7
0.62
#8
0.61
#9
0.60
#10
0.60
What zip code has the Highest Inequality / Gini Index in Pennsylvania?
16847 has the Highest Inequality / Gini Index in Pennsylvania with 0.79.
What is the Inequality / Gini Index in the State of Pennsylvania?
Inequality / Gini Index in Pennsylvania is 0.47.
What is the Inequality / Gini Index in the United States?
Inequality / Gini Index in the United States is 0.48.