Zip Codes with the Highest Wage/Income Gap ($) in Pennsylvania

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Highest Wage/Income Gap ($)
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
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Comparison Subject

Map of Zip Codes with the Highest Wage/Income Gap ($) in Pennsylvania

$0.0000
$1.0000
Zip Codes with the Highest Wage/Income Gap ($) in Pennsylvania Map

Zip Codes with the Highest Wage/Income Gap ($) in Pennsylvania

Zip Code Wage/Income Gap ($) vs State vs National
1.17778$0.9716$0.3081(+0.663)#1$0.2798(+0.692)#2
2.15691$0.9624$0.3081(+0.654)#2$0.2798(+0.683)#5
3.15948$0.9323$0.3081(+0.624)#3$0.2798(+0.652)#27
4.18460$0.9200$0.3081(+0.612)#4$0.2798(+0.640)#36
5.18624$0.9197$0.3081(+0.612)#5$0.2798(+0.640)#37
6.18371$0.9067$0.3081(+0.599)#6$0.2798(+0.627)#47
7.15413$0.8771$0.3081(+0.569)#7$0.2798(+0.597)#63
8.19437$0.8677$0.3081(+0.560)#8$0.2798(+0.588)#69
9.16861$0.8286$0.3081(+0.520)#9$0.2798(+0.549)#97
10.15334$0.8190$0.3081(+0.511)#10$0.2798(+0.539)#107
11.19544$0.8091$0.3081(+0.501)#11$0.2798(+0.529)#114
12.15684$0.7957$0.3081(+0.488)#12$0.2798(+0.516)#127
13.15847$0.7795$0.3081(+0.471)#13$0.2798(+0.500)#147
14.17920$0.7639$0.3081(+0.456)#14$0.2798(+0.484)#170
15.15646$0.7624$0.3081(+0.454)#15$0.2798(+0.483)#175
16.18334$0.7583$0.3081(+0.450)#16$0.2798(+0.478)#184
17.16911$0.7353$0.3081(+0.427)#17$0.2798(+0.456)#247
18.16659$0.7339$0.3081(+0.426)#18$0.2798(+0.454)#251
19.15736$0.7330$0.3081(+0.425)#19$0.2798(+0.453)#255
20.17535$0.7305$0.3081(+0.422)#20$0.2798(+0.451)#264
21.18471$0.7285$0.3081(+0.420)#21$0.2798(+0.449)#275
22.15337$0.7181$0.3081(+0.410)#22$0.2798(+0.438)#305
23.19545$0.7165$0.3081(+0.408)#23$0.2798(+0.437)#311
24.18816$0.7123$0.3081(+0.404)#24$0.2798(+0.432)#322
25.15448$0.7115$0.3081(+0.403)#25$0.2798(+0.432)#328
26.15363$0.7038$0.3081(+0.396)#26$0.2798(+0.424)#359
27.19035$0.7004$0.3081(+0.392)#27$0.2798(+0.421)#374
28.15940$0.6971$0.3081(+0.389)#28$0.2798(+0.417)#386
29.17213$0.6946$0.3081(+0.386)#29$0.2798(+0.415)#396
30.16677$0.6935$0.3081(+0.385)#30$0.2798(+0.414)#402
31.17856$0.6898$0.3081(+0.382)#31$0.2798(+0.410)#421
32.15555$0.6850$0.3081(+0.377)#32$0.2798(+0.405)#461
33.17884$0.6835$0.3081(+0.375)#33$0.2798(+0.404)#469
34.17529$0.6780$0.3081(+0.370)#34$0.2798(+0.398)#493
35.15742$0.6771$0.3081(+0.369)#35$0.2798(+0.397)#496
36.15544$0.6691$0.3081(+0.361)#36$0.2798(+0.389)#530
37.18851$0.6653$0.3081(+0.357)#37$0.2798(+0.386)#545
38.15432$0.6649$0.3081(+0.357)#38$0.2798(+0.385)#548
39.17235$0.6642$0.3081(+0.356)#39$0.2798(+0.384)#552
40.15954$0.6606$0.3081(+0.352)#40$0.2798(+0.381)#574
41.17527$0.6596$0.3081(+0.351)#41$0.2798(+0.380)#577
42.15460$0.6567$0.3081(+0.349)#42$0.2798(+0.377)#596
43.18636$0.6563$0.3081(+0.348)#43$0.2798(+0.377)#599
44.17968$0.6538$0.3081(+0.346)#44$0.2798(+0.374)#615
45.15536$0.6514$0.3081(+0.343)#45$0.2798(+0.372)#634
46.17508$0.6483$0.3081(+0.340)#46$0.2798(+0.368)#655
47.15367$0.6472$0.3081(+0.339)#47$0.2798(+0.367)#660
48.17930$0.6416$0.3081(+0.334)#48$0.2798(+0.362)#696
49.15346$0.6397$0.3081(+0.332)#49$0.2798(+0.360)#720
50.16036$0.6389$0.3081(+0.331)#50$0.2798(+0.359)#730
51.19352$0.6367$0.3081(+0.329)#51$0.2798(+0.357)#748
52.16245$0.6353$0.3081(+0.327)#52$0.2798(+0.356)#765
53.16726$0.6332$0.3081(+0.325)#53$0.2798(+0.353)#783
54.19010$0.6330$0.3081(+0.325)#54$0.2798(+0.353)#784
55.19009$0.6281$0.3081(+0.320)#55$0.2798(+0.348)#826
56.17557$0.6244$0.3081(+0.316)#56$0.2798(+0.345)#863
57.15222$0.6233$0.3081(+0.315)#57$0.2798(+0.344)#873
58.17951$0.6231$0.3081(+0.315)#58$0.2798(+0.343)#876
59.15864$0.6230$0.3081(+0.315)#59$0.2798(+0.343)#878
60.15716$0.6222$0.3081(+0.314)#60$0.2798(+0.342)#890
61.15682$0.6212$0.3081(+0.313)#61$0.2798(+0.341)#904
62.17101$0.6196$0.3081(+0.311)#62$0.2798(+0.340)#926
63.15957$0.6170$0.3081(+0.309)#63$0.2798(+0.337)#944
64.15427$0.6152$0.3081(+0.307)#64$0.2798(+0.335)#966
65.16402$0.6143$0.3081(+0.306)#65$0.2798(+0.335)#974
66.19530$0.6068$0.3081(+0.299)#66$0.2798(+0.327)#1,041
67.19311$0.6049$0.3081(+0.297)#67$0.2798(+0.325)#1,054
68.15860$0.6037$0.3081(+0.296)#68$0.2798(+0.324)#1,074
69.15554$0.5974$0.3081(+0.289)#69$0.2798(+0.318)#1,144
70.16256$0.5960$0.3081(+0.288)#70$0.2798(+0.316)#1,161
71.15329$0.5941$0.3081(+0.286)#71$0.2798(+0.314)#1,184
72.18056$0.5938$0.3081(+0.286)#72$0.2798(+0.314)#1,188
73.15486$0.5932$0.3081(+0.285)#73$0.2798(+0.313)#1,198
74.17555$0.5912$0.3081(+0.283)#74$0.2798(+0.311)#1,227
75.15534$0.5893$0.3081(+0.281)#75$0.2798(+0.310)#1,249
76.18106$0.5891$0.3081(+0.281)#76$0.2798(+0.309)#1,252
77.15821$0.5872$0.3081(+0.279)#77$0.2798(+0.307)#1,277
78.15849$0.5866$0.3081(+0.278)#78$0.2798(+0.307)#1,286
79.19507$0.5858$0.3081(+0.278)#79$0.2798(+0.306)#1,291
80.16627$0.5856$0.3081(+0.277)#80$0.2798(+0.306)#1,295
81.17572$0.5830$0.3081(+0.275)#81$0.2798(+0.303)#1,322
82.15341$0.5826$0.3081(+0.274)#82$0.2798(+0.303)#1,330
83.15961$0.5825$0.3081(+0.274)#83$0.2798(+0.303)#1,333
84.16352$0.5799$0.3081(+0.272)#84$0.2798(+0.300)#1,383
85.16027$0.5796$0.3081(+0.272)#85$0.2798(+0.300)#1,390
86.17026$0.5796$0.3081(+0.271)#86$0.2798(+0.300)#1,392
87.16839$0.5790$0.3081(+0.271)#87$0.2798(+0.299)#1,405
88.16930$0.5789$0.3081(+0.271)#88$0.2798(+0.299)#1,406
89.18372$0.5759$0.3081(+0.268)#89$0.2798(+0.296)#1,450
90.15077$0.5756$0.3081(+0.267)#90$0.2798(+0.296)#1,457
91.16002$0.5743$0.3081(+0.266)#91$0.2798(+0.294)#1,477
92.15379$0.5735$0.3081(+0.265)#92$0.2798(+0.294)#1,496
93.18337$0.5728$0.3081(+0.265)#93$0.2798(+0.293)#1,509
94.17301$0.5720$0.3081(+0.264)#94$0.2798(+0.292)#1,526
95.16022$0.5702$0.3081(+0.262)#95$0.2798(+0.290)#1,563
96.15617$0.5667$0.3081(+0.259)#96$0.2798(+0.287)#1,607
97.18434$0.5653$0.3081(+0.257)#97$0.2798(+0.285)#1,622
98.16636$0.5613$0.3081(+0.253)#98$0.2798(+0.281)#1,687
99.17038$0.5587$0.3081(+0.251)#99$0.2798(+0.279)#1,733
100.18439$0.5581$0.3081(+0.250)#100$0.2798(+0.278)#1,743

Common Questions

What are the Top 10 Zip Codes with the Highest Wage/Income Gap ($) in Pennsylvania?
Top 10 Zip Codes with the Highest Wage/Income Gap ($) in Pennsylvania are:
#1
$0.9716
#2
$0.9624
#3
$0.9323
#4
$0.9200
#5
$0.9197
#6
$0.9067
#7
$0.8771
#8
$0.8677
#9
$0.8286
#10
$0.8190
What zip code has the Highest Wage/Income Gap ($) in Pennsylvania?
17778 has the Highest Wage/Income Gap ($) in Pennsylvania with $0.9716.
What is the Wage / Income Gap in Dollar Terms in the State of Pennsylvania?
Wage / Income Gap in Dollar Terms in Pennsylvania is $0.3081.
What is the Wage / Income Gap in Dollar Terms in the United States?
Wage / Income Gap in Dollar Terms in the United States is $0.2798.