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

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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
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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
1.17302$0.0024$0.3081(-0.306)#1$0.2798(-0.277)#68
2.15692$0.0032$0.3081(-0.305)#2$0.2798(-0.277)#88
3.15663$0.0051$0.3081(-0.303)#3$0.2798(-0.275)#134
4.18254$0.0072$0.3081(-0.301)#4$0.2798(-0.273)#180
5.18440$0.0074$0.3081(-0.301)#5$0.2798(-0.272)#187
6.15451$0.0078$0.3081(-0.300)#6$0.2798(-0.272)#202
7.16803$0.0080$0.3081(-0.300)#7$0.2798(-0.272)#207
8.16863$0.0081$0.3081(-0.300)#8$0.2798(-0.272)#208
9.15419$0.0083$0.3081(-0.300)#9$0.2798(-0.272)#218
10.16624$0.0090$0.3081(-0.299)#10$0.2798(-0.271)#227
11.16878$0.0099$0.3081(-0.298)#11$0.2798(-0.270)#247
12.19012$0.0128$0.3081(-0.295)#12$0.2798(-0.267)#324
13.16834$0.0142$0.3081(-0.294)#13$0.2798(-0.266)#364
14.17867$0.0179$0.3081(-0.290)#14$0.2798(-0.262)#449
15.19125$0.0187$0.3081(-0.289)#15$0.2798(-0.261)#472
16.16623$0.0201$0.3081(-0.288)#16$0.2798(-0.260)#501
17.15696$0.0202$0.3081(-0.288)#17$0.2798(-0.260)#509
18.19549$0.0205$0.3081(-0.288)#18$0.2798(-0.259)#519
19.15140$0.0210$0.3081(-0.287)#19$0.2798(-0.259)#532
20.15437$0.0227$0.3081(-0.285)#20$0.2798(-0.257)#578
21.18101$0.0254$0.3081(-0.283)#21$0.2798(-0.254)#658
22.19120$0.0256$0.3081(-0.283)#22$0.2798(-0.254)#661
23.16922$0.0273$0.3081(-0.281)#23$0.2798(-0.253)#697
24.15081$0.0274$0.3081(-0.281)#24$0.2798(-0.252)#698
25.15365$0.0279$0.3081(-0.280)#25$0.2798(-0.252)#716
26.19127$0.0301$0.3081(-0.278)#26$0.2798(-0.250)#776
27.16617$0.0304$0.3081(-0.278)#27$0.2798(-0.249)#785
28.19383$0.0307$0.3081(-0.277)#28$0.2798(-0.249)#799
29.16802$0.0310$0.3081(-0.277)#29$0.2798(-0.249)#812
30.19135$0.0324$0.3081(-0.276)#30$0.2798(-0.247)#843
31.19143$0.0329$0.3081(-0.275)#31$0.2798(-0.247)#853
32.15678$0.0331$0.3081(-0.275)#32$0.2798(-0.247)#859
33.19023$0.0331$0.3081(-0.275)#33$0.2798(-0.247)#863
34.15412$0.0339$0.3081(-0.274)#34$0.2798(-0.246)#882
35.19090$0.0354$0.3081(-0.273)#35$0.2798(-0.244)#932
36.19050$0.0355$0.3081(-0.273)#36$0.2798(-0.244)#937
37.18631$0.0362$0.3081(-0.272)#37$0.2798(-0.244)#956
38.19148$0.0366$0.3081(-0.272)#38$0.2798(-0.243)#961
39.17005$0.0367$0.3081(-0.271)#39$0.2798(-0.243)#965
40.16670$0.0367$0.3081(-0.271)#40$0.2798(-0.243)#968
41.19144$0.0395$0.3081(-0.269)#41$0.2798(-0.240)#1,048
42.19013$0.0400$0.3081(-0.268)#42$0.2798(-0.240)#1,063
43.19128$0.0402$0.3081(-0.268)#43$0.2798(-0.240)#1,074
44.18059$0.0438$0.3081(-0.264)#44$0.2798(-0.236)#1,166
45.19131$0.0441$0.3081(-0.264)#45$0.2798(-0.236)#1,173
46.19132$0.0445$0.3081(-0.264)#46$0.2798(-0.235)#1,187
47.15359$0.0457$0.3081(-0.262)#47$0.2798(-0.234)#1,215
48.16160$0.0459$0.3081(-0.262)#48$0.2798(-0.234)#1,220
49.15925$0.0480$0.3081(-0.260)#49$0.2798(-0.232)#1,265
50.18085$0.0494$0.3081(-0.259)#50$0.2798(-0.230)#1,304
51.19139$0.0497$0.3081(-0.258)#51$0.2798(-0.230)#1,313
52.18917$0.0497$0.3081(-0.258)#52$0.2798(-0.230)#1,314
53.18077$0.0509$0.3081(-0.257)#53$0.2798(-0.229)#1,328
54.17342$0.0524$0.3081(-0.256)#54$0.2798(-0.227)#1,357
55.17776$0.0528$0.3081(-0.255)#55$0.2798(-0.227)#1,368
56.15846$0.0542$0.3081(-0.254)#56$0.2798(-0.226)#1,399
57.16866$0.0544$0.3081(-0.254)#57$0.2798(-0.225)#1,405
58.17923$0.0545$0.3081(-0.254)#58$0.2798(-0.225)#1,406
59.16865$0.0548$0.3081(-0.253)#59$0.2798(-0.225)#1,417
60.18463$0.0549$0.3081(-0.253)#60$0.2798(-0.225)#1,425
61.17758$0.0550$0.3081(-0.253)#61$0.2798(-0.225)#1,427
62.15639$0.0555$0.3081(-0.253)#62$0.2798(-0.224)#1,436
63.16854$0.0556$0.3081(-0.253)#63$0.2798(-0.224)#1,446
64.19536$0.0558$0.3081(-0.252)#64$0.2798(-0.224)#1,451
65.15611$0.0564$0.3081(-0.252)#65$0.2798(-0.223)#1,467
66.18842$0.0571$0.3081(-0.251)#66$0.2798(-0.223)#1,489
67.19534$0.0590$0.3081(-0.249)#67$0.2798(-0.221)#1,552
68.15142$0.0596$0.3081(-0.249)#68$0.2798(-0.220)#1,568
69.18980$0.0611$0.3081(-0.247)#69$0.2798(-0.219)#1,621
70.16691$0.0625$0.3081(-0.246)#70$0.2798(-0.217)#1,656
71.18351$0.0627$0.3081(-0.245)#71$0.2798(-0.217)#1,661
72.17214$0.0629$0.3081(-0.245)#72$0.2798(-0.217)#1,670
73.17054$0.0629$0.3081(-0.245)#73$0.2798(-0.217)#1,672
74.17827$0.0646$0.3081(-0.243)#74$0.2798(-0.215)#1,724
75.17224$0.0657$0.3081(-0.242)#75$0.2798(-0.214)#1,747
76.16132$0.0664$0.3081(-0.242)#76$0.2798(-0.213)#1,767
77.18509$0.0675$0.3081(-0.241)#77$0.2798(-0.212)#1,797
78.18602$0.0684$0.3081(-0.240)#78$0.2798(-0.211)#1,829
79.19074$0.0691$0.3081(-0.239)#79$0.2798(-0.211)#1,854
80.17033$0.0700$0.3081(-0.238)#80$0.2798(-0.210)#1,881
81.15116$0.0709$0.3081(-0.237)#81$0.2798(-0.209)#1,906
82.16121$0.0711$0.3081(-0.237)#82$0.2798(-0.209)#1,907
83.15144$0.0711$0.3081(-0.237)#83$0.2798(-0.209)#1,911
84.16875$0.0712$0.3081(-0.237)#84$0.2798(-0.209)#1,916
85.16329$0.0714$0.3081(-0.237)#85$0.2798(-0.208)#1,931
86.18219$0.0734$0.3081(-0.235)#86$0.2798(-0.206)#1,991
87.17093$0.0734$0.3081(-0.235)#87$0.2798(-0.206)#1,993
88.16328$0.0745$0.3081(-0.234)#88$0.2798(-0.205)#2,031
89.19126$0.0750$0.3081(-0.233)#89$0.2798(-0.205)#2,040
90.15705$0.0753$0.3081(-0.233)#90$0.2798(-0.205)#2,049
91.18461$0.0769$0.3081(-0.231)#91$0.2798(-0.203)#2,108
92.17946$0.0775$0.3081(-0.231)#92$0.2798(-0.202)#2,121
93.16040$0.0777$0.3081(-0.230)#93$0.2798(-0.202)#2,124
94.15353$0.0779$0.3081(-0.230)#94$0.2798(-0.202)#2,131
95.19153$0.0793$0.3081(-0.229)#95$0.2798(-0.200)#2,166
96.17868$0.0795$0.3081(-0.229)#96$0.2798(-0.200)#2,173
97.15082$0.0805$0.3081(-0.228)#97$0.2798(-0.199)#2,194
98.16244$0.0813$0.3081(-0.227)#98$0.2798(-0.198)#2,216
99.18076$0.0816$0.3081(-0.226)#99$0.2798(-0.198)#2,227
100.17954$0.0822$0.3081(-0.226)#100$0.2798(-0.198)#2,244

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
$0.0024
#2
$0.0032
#3
$0.0051
#4
$0.0072
#5
$0.0074
#6
$0.0078
#7
$0.0080
#8
$0.0081
#9
$0.0083
#10
$0.0090
What zip code has the Lowest Wage/Income Gap ($) in Pennsylvania?
17302 has the Lowest Wage/Income Gap ($) in Pennsylvania with $0.0024.
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.