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

RELATED REPORTS & OPTIONS

Lowest 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
Compare Zip Codes
Comparison Subject

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

$0.1000
$0.0000
Zip Codes with the Lowest Wage/Income Gap ($) in Pennsylvania Map

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

Zip Code Wage/Income Gap ($) vs State vs National
1.19144$0.0036$0.3031(-0.300)#1$0.2764(-0.273)#84
2.16848$0.0040$0.3031(-0.299)#2$0.2764(-0.272)#97
3.19128$0.0048$0.3031(-0.298)#3$0.2764(-0.272)#111
4.17867$0.0061$0.3031(-0.297)#4$0.2764(-0.270)#150
5.16863$0.0061$0.3031(-0.297)#5$0.2764(-0.270)#151
6.18463$0.0065$0.3031(-0.297)#6$0.2764(-0.270)#162
7.16802$0.0110$0.3031(-0.292)#7$0.2764(-0.265)#276
8.16651$0.0111$0.3031(-0.292)#8$0.2764(-0.265)#278
9.19013$0.0120$0.3031(-0.291)#9$0.2764(-0.264)#306
10.18405$0.0124$0.3031(-0.291)#10$0.2764(-0.264)#323
11.17954$0.0135$0.3031(-0.290)#11$0.2764(-0.263)#359
12.19120$0.0138$0.3031(-0.289)#12$0.2764(-0.263)#366
13.16834$0.0144$0.3031(-0.289)#13$0.2764(-0.262)#375
14.16263$0.0149$0.3031(-0.288)#14$0.2764(-0.262)#390
15.19121$0.0150$0.3031(-0.288)#15$0.2764(-0.261)#393
16.17302$0.0153$0.3031(-0.288)#16$0.2764(-0.261)#397
17.15139$0.0163$0.3031(-0.287)#17$0.2764(-0.260)#426
18.18631$0.0172$0.3031(-0.286)#18$0.2764(-0.259)#447
19.19125$0.0175$0.3031(-0.286)#19$0.2764(-0.259)#461
20.19022$0.0178$0.3031(-0.285)#20$0.2764(-0.259)#468
21.16035$0.0178$0.3031(-0.285)#21$0.2764(-0.259)#469
22.19132$0.0184$0.3031(-0.285)#22$0.2764(-0.258)#491
23.18610$0.0185$0.3031(-0.285)#23$0.2764(-0.258)#496
24.19126$0.0195$0.3031(-0.284)#24$0.2764(-0.257)#519
25.15696$0.0215$0.3031(-0.282)#25$0.2764(-0.255)#572
26.17748$0.0222$0.3031(-0.281)#26$0.2764(-0.254)#595
27.17318$0.0229$0.3031(-0.280)#27$0.2764(-0.253)#615
28.19023$0.0243$0.3031(-0.279)#28$0.2764(-0.252)#639
29.19383$0.0252$0.3031(-0.278)#29$0.2764(-0.251)#655
30.17835$0.0256$0.3031(-0.278)#30$0.2764(-0.251)#673
31.18509$0.0268$0.3031(-0.276)#31$0.2764(-0.250)#704
32.18254$0.0272$0.3031(-0.276)#32$0.2764(-0.249)#712
33.16922$0.0283$0.3031(-0.275)#33$0.2764(-0.248)#744
34.19018$0.0297$0.3031(-0.273)#34$0.2764(-0.247)#774
35.15086$0.0336$0.3031(-0.270)#35$0.2764(-0.243)#865
36.15846$0.0339$0.3031(-0.269)#36$0.2764(-0.243)#868
37.16691$0.0349$0.3031(-0.268)#37$0.2764(-0.241)#899
38.18059$0.0361$0.3031(-0.267)#38$0.2764(-0.240)#935
39.16617$0.0384$0.3031(-0.265)#39$0.2764(-0.238)#993
40.15561$0.0388$0.3031(-0.264)#40$0.2764(-0.238)#1,005
41.15104$0.0401$0.3031(-0.263)#41$0.2764(-0.236)#1,050
42.17827$0.0409$0.3031(-0.262)#42$0.2764(-0.235)#1,076
43.17731$0.0412$0.3031(-0.262)#43$0.2764(-0.235)#1,088
44.19148$0.0415$0.3031(-0.262)#44$0.2764(-0.235)#1,093
45.17265$0.0421$0.3031(-0.261)#45$0.2764(-0.234)#1,106
46.16113$0.0431$0.3031(-0.260)#46$0.2764(-0.233)#1,143
47.15734$0.0440$0.3031(-0.259)#47$0.2764(-0.232)#1,165
48.16670$0.0469$0.3031(-0.256)#48$0.2764(-0.230)#1,240
49.18076$0.0493$0.3031(-0.254)#49$0.2764(-0.227)#1,300
50.16329$0.0499$0.3031(-0.253)#50$0.2764(-0.227)#1,317
51.15622$0.0506$0.3031(-0.253)#51$0.2764(-0.226)#1,339
52.16878$0.0508$0.3031(-0.252)#52$0.2764(-0.226)#1,346
53.17758$0.0531$0.3031(-0.250)#53$0.2764(-0.223)#1,417
54.19029$0.0537$0.3031(-0.249)#54$0.2764(-0.223)#1,432
55.17776$0.0553$0.3031(-0.248)#55$0.2764(-0.221)#1,475
56.18327$0.0569$0.3031(-0.246)#56$0.2764(-0.220)#1,514
57.18342$0.0571$0.3031(-0.246)#57$0.2764(-0.219)#1,519
58.19143$0.0579$0.3031(-0.245)#58$0.2764(-0.219)#1,537
59.15351$0.0592$0.3031(-0.244)#59$0.2764(-0.217)#1,571
60.18602$0.0597$0.3031(-0.243)#60$0.2764(-0.217)#1,589
61.18346$0.0620$0.3031(-0.241)#61$0.2764(-0.214)#1,646
62.19136$0.0676$0.3031(-0.236)#62$0.2764(-0.209)#1,793
63.18843$0.0684$0.3031(-0.235)#63$0.2764(-0.208)#1,821
64.15147$0.0694$0.3031(-0.234)#64$0.2764(-0.207)#1,850
65.19131$0.0722$0.3031(-0.231)#65$0.2764(-0.204)#1,916
66.17967$0.0726$0.3031(-0.231)#66$0.2764(-0.204)#1,934
67.19012$0.0735$0.3031(-0.230)#67$0.2764(-0.203)#1,954
68.15489$0.0757$0.3031(-0.227)#68$0.2764(-0.201)#2,009
69.15679$0.0769$0.3031(-0.226)#69$0.2764(-0.200)#2,040
70.17093$0.0770$0.3031(-0.226)#70$0.2764(-0.199)#2,048
71.15051$0.0785$0.3031(-0.225)#71$0.2764(-0.198)#2,093
72.17033$0.0799$0.3031(-0.223)#72$0.2764(-0.197)#2,130
73.19428$0.0804$0.3031(-0.223)#73$0.2764(-0.196)#2,139
74.16836$0.0806$0.3031(-0.222)#74$0.2764(-0.196)#2,147
75.16854$0.0811$0.3031(-0.222)#75$0.2764(-0.195)#2,157
76.19070$0.0825$0.3031(-0.221)#76$0.2764(-0.194)#2,196
77.18701$0.0838$0.3031(-0.219)#77$0.2764(-0.193)#2,229
78.16633$0.0843$0.3031(-0.219)#78$0.2764(-0.192)#2,241
79.18917$0.0849$0.3031(-0.218)#79$0.2764(-0.192)#2,256
80.15224$0.0860$0.3031(-0.217)#80$0.2764(-0.190)#2,284
81.15315$0.0862$0.3031(-0.217)#81$0.2764(-0.190)#2,291
82.16546$0.0869$0.3031(-0.216)#82$0.2764(-0.190)#2,312
83.18628$0.0887$0.3031(-0.214)#83$0.2764(-0.188)#2,351
84.15211$0.0892$0.3031(-0.214)#84$0.2764(-0.187)#2,367
85.15353$0.0899$0.3031(-0.213)#85$0.2764(-0.187)#2,394
86.19127$0.0901$0.3031(-0.213)#86$0.2764(-0.186)#2,399
87.15677$0.0913$0.3031(-0.212)#87$0.2764(-0.185)#2,436
88.19146$0.0915$0.3031(-0.212)#88$0.2764(-0.185)#2,440
89.16803$0.0917$0.3031(-0.211)#89$0.2764(-0.185)#2,446
90.15035$0.0919$0.3031(-0.211)#90$0.2764(-0.185)#2,456
91.16847$0.0920$0.3031(-0.211)#91$0.2764(-0.184)#2,457
92.16927$0.0924$0.3031(-0.211)#92$0.2764(-0.184)#2,473
93.19559$0.0929$0.3031(-0.210)#93$0.2764(-0.184)#2,492
94.18085$0.0939$0.3031(-0.209)#94$0.2764(-0.183)#2,513
95.19139$0.0957$0.3031(-0.207)#95$0.2764(-0.181)#2,569
96.15520$0.0980$0.3031(-0.205)#96$0.2764(-0.178)#2,661
97.18980$0.0980$0.3031(-0.205)#97$0.2764(-0.178)#2,662
98.15116$0.0989$0.3031(-0.204)#98$0.2764(-0.178)#2,688
99.18219$0.0990$0.3031(-0.204)#99$0.2764(-0.177)#2,694
100.18517$0.0992$0.3031(-0.204)#100$0.2764(-0.177)#2,705

Common Questions

What are the Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in Pennsylvania?
Top 10 Zip Codes with the Lowest Wage/Income Gap ($) in Pennsylvania are:
#1
$0.0036
#2
$0.0040
#3
$0.0048
#4
$0.0061
#5
$0.0061
#6
$0.0065
#7
$0.0110
#8
$0.0111
#9
$0.0120
#10
$0.0124
What zip code has the Lowest Wage/Income Gap ($) in Pennsylvania?
19144 has the Lowest Wage/Income Gap ($) in Pennsylvania with $0.0036.
What is the Wage / Income Gap in Dollar Terms in the State of Pennsylvania?
Wage / Income Gap in Dollar Terms in Pennsylvania is $0.3031.
What is the Wage / Income Gap in Dollar Terms in the United States?
Wage / Income Gap in Dollar Terms in the United States is $0.2764.