Zip Codes with the Longest Median Commute Time to Work for Females in Pennsylvania

RELATED REPORTS & OPTIONS

Longest Commute | Female
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 Longest Median Commute Time to Work for Females in Pennsylvania

00:30:00
01:20:00
Zip Codes with the Longest Median Commute Time to Work for Females in Pennsylvania Map

Zip Codes with the Longest Median Commute Time to Work for Females in Pennsylvania

Zip Code Commute Time vs State vs National
1. 15490 01:17:26 00:24:51 (+52.6)#1 00:24:50 (+52.6)#25
2. 18086 01:10:07 00:24:51 (+45.3)#2 00:24:50 (+45.3)#46
3. 16622 01:07:30 00:24:51 (+42.6)#3 00:24:50 (+42.7)#61
4. 16847 01:06:37 00:24:51 (+41.8)#4 00:24:50 (+41.8)#65
5. 18371 01:03:39 00:24:51 (+38.8)#5 00:24:50 (+38.8)#77
6. 15730 01:00:17 00:24:51 (+35.4)#6 00:24:50 (+35.4)#100
7. 16674 00:55:16 00:24:51 (+30.4)#7 00:24:50 (+30.4)#149
8. 15350 00:53:19 00:24:51 (+28.5)#8 00:24:50 (+28.5)#190
9. 18913 00:51:16 00:24:51 (+26.4)#9 00:24:50 (+26.4)#227
10. 18618 00:50:07 00:24:51 (+25.3)#10 00:24:50 (+25.3)#273
11. 18347 00:48:12 00:24:51 (+23.4)#11 00:24:50 (+23.4)#342
12. 16620 00:47:42 00:24:51 (+22.9)#12 00:24:50 (+22.9)#360
13. 18335 00:47:31 00:24:51 (+22.7)#13 00:24:50 (+22.7)#373
14. 15744 00:47:18 00:24:51 (+22.4)#14 00:24:50 (+22.5)#381
15. 15469 00:47:18 00:24:51 (+22.4)#15 00:24:50 (+22.5)#383
16. 16670 00:47:13 00:24:51 (+22.4)#16 00:24:50 (+22.4)#384
17. 17944 00:46:54 00:24:51 (+22.0)#17 00:24:50 (+22.1)#401
18. 17251 00:46:15 00:24:51 (+21.4)#18 00:24:50 (+21.4)#443
19. 17035 00:46:13 00:24:51 (+21.4)#19 00:24:50 (+21.4)#445
20. 18324 00:45:59 00:24:51 (+21.1)#20 00:24:50 (+21.1)#455
21. 15148 00:45:54 00:24:51 (+21.0)#21 00:24:50 (+21.1)#460
22. 16750 00:45:36 00:24:51 (+20.7)#22 00:24:50 (+20.8)#476
23. 18415 00:45:21 00:24:51 (+20.5)#23 00:24:50 (+20.5)#488
24. 18302 00:45:15 00:24:51 (+20.4)#24 00:24:50 (+20.4)#497
25. 16922 00:45:09 00:24:51 (+20.3)#25 00:24:50 (+20.3)#503
26. 18451 00:45:07 00:24:51 (+20.3)#26 00:24:50 (+20.3)#506
27. 18343 00:44:59 00:24:51 (+20.1)#27 00:24:50 (+20.1)#520
28. 18370 00:44:16 00:24:51 (+19.4)#28 00:24:50 (+19.4)#579
29. 17071 00:43:55 00:24:51 (+19.1)#29 00:24:50 (+19.1)#612
30. 19079 00:43:55 00:24:51 (+19.1)#30 00:24:50 (+19.1)#613
31. 15729 00:43:54 00:24:51 (+19.1)#31 00:24:50 (+19.1)#614
32. 17211 00:43:48 00:24:51 (+19.0)#32 00:24:50 (+19.0)#623
33. 16845 00:43:43 00:24:51 (+18.9)#33 00:24:50 (+18.9)#631
34. 16829 00:43:37 00:24:51 (+18.8)#34 00:24:50 (+18.8)#639
35. 15379 00:43:36 00:24:51 (+18.7)#35 00:24:50 (+18.8)#642
36. 17239 00:43:34 00:24:51 (+18.7)#36 00:24:50 (+18.7)#646
37. 15346 00:43:12 00:24:51 (+18.3)#37 00:24:50 (+18.4)#678
38. 15054 00:42:51 00:24:51 (+18.0)#38 00:24:50 (+18.0)#713
39. 15636 00:42:09 00:24:51 (+17.3)#39 00:24:50 (+17.3)#788
40. 18930 00:42:06 00:24:51 (+17.2)#40 00:24:50 (+17.3)#795
41. 16691 00:41:50 00:24:51 (+17.0)#41 00:24:50 (+17.0)#827
42. 17219 00:41:34 00:24:51 (+16.7)#42 00:24:50 (+16.7)#856
43. 16864 00:41:28 00:24:51 (+16.6)#43 00:24:50 (+16.6)#869
44. 15957 00:41:27 00:24:51 (+16.6)#44 00:24:50 (+16.6)#870
45. 18328 00:41:26 00:24:51 (+16.6)#45 00:24:50 (+16.6)#873
46. 17768 00:41:18 00:24:51 (+16.4)#46 00:24:50 (+16.5)#888
47. 18435 00:40:50 00:24:51 (+16.0)#47 00:24:50 (+16.0)#945
48. 16211 00:40:42 00:24:51 (+15.9)#48 00:24:50 (+15.9)#956
49. 18322 00:40:32 00:24:51 (+15.7)#49 00:24:50 (+15.7)#987
50. 15352 00:40:18 00:24:51 (+15.5)#50 00:24:50 (+15.5)#1,020
51. 18602 00:40:16 00:24:51 (+15.4)#51 00:24:50 (+15.4)#1,030
52. 17064 00:40:10 00:24:51 (+15.3)#52 00:24:50 (+15.3)#1,046
53. 19141 00:40:01 00:24:51 (+15.2)#53 00:24:50 (+15.2)#1,064
54. 15082 00:40:00 00:24:51 (+15.1)#54 00:24:50 (+15.2)#1,070
55. 18610 00:39:55 00:24:51 (+15.1)#55 00:24:50 (+15.1)#1,080
56. 15377 00:39:51 00:24:51 (+15.0)#56 00:24:50 (+15.0)#1,091
57. 15028 00:39:51 00:24:51 (+15.0)#57 00:24:50 (+15.0)#1,093
58. 15341 00:39:41 00:24:51 (+14.8)#58 00:24:50 (+14.8)#1,124
59. 17518 00:39:27 00:24:51 (+14.6)#59 00:24:50 (+14.6)#1,168
60. 16647 00:39:22 00:24:51 (+14.5)#60 00:24:50 (+14.5)#1,186
61. 17321 00:39:09 00:24:51 (+14.3)#61 00:24:50 (+14.3)#1,212
62. 16672 00:38:50 00:24:51 (+14.0)#62 00:24:50 (+14.0)#1,266
63. 18092 00:38:50 00:24:51 (+14.0)#63 00:24:50 (+14.0)#1,267
64. 16634 00:38:49 00:24:51 (+14.0)#64 00:24:50 (+14.0)#1,272
65. 19544 00:38:31 00:24:51 (+13.7)#65 00:24:50 (+13.7)#1,341
66. 17220 00:38:23 00:24:51 (+13.5)#66 00:24:50 (+13.6)#1,365
67. 17758 00:38:22 00:24:51 (+13.5)#67 00:24:50 (+13.5)#1,373
68. 15380 00:38:19 00:24:51 (+13.5)#68 00:24:50 (+13.5)#1,380
69. 17964 00:38:11 00:24:51 (+13.3)#69 00:24:50 (+13.3)#1,406
70. 19140 00:38:01 00:24:51 (+13.2)#70 00:24:50 (+13.2)#1,450
71. 16680 00:37:53 00:24:51 (+13.0)#71 00:24:50 (+13.0)#1,486
72. 17037 00:37:34 00:24:51 (+12.7)#72 00:24:50 (+12.7)#1,574
73. 16858 00:37:33 00:24:51 (+12.7)#73 00:24:50 (+12.7)#1,585
74. 15482 00:37:32 00:24:51 (+12.7)#74 00:24:50 (+12.7)#1,589
75. 18825 00:37:30 00:24:51 (+12.6)#75 00:24:50 (+12.7)#1,601
76. 18426 00:37:20 00:24:51 (+12.5)#76 00:24:50 (+12.5)#1,644
77. 16689 00:37:15 00:24:51 (+12.4)#77 00:24:50 (+12.4)#1,669
78. 18030 00:37:10 00:24:51 (+12.3)#78 00:24:50 (+12.3)#1,699
79. 17536 00:37:01 00:24:51 (+12.2)#79 00:24:50 (+12.2)#1,737
80. 16240 00:36:58 00:24:51 (+12.1)#80 00:24:50 (+12.1)#1,752
81. 16860 00:36:50 00:24:51 (+12.0)#81 00:24:50 (+12.0)#1,785
82. 17262 00:36:45 00:24:51 (+11.9)#82 00:24:50 (+11.9)#1,808
83. 17021 00:36:41 00:24:51 (+11.8)#83 00:24:50 (+11.8)#1,829
84. 19150 00:36:40 00:24:51 (+11.8)#84 00:24:50 (+11.8)#1,832
85. 15821 00:36:39 00:24:51 (+11.8)#85 00:24:50 (+11.8)#1,836
86. 17840 00:36:37 00:24:51 (+11.8)#86 00:24:50 (+11.8)#1,849
87. 16048 00:36:31 00:24:51 (+11.7)#87 00:24:50 (+11.7)#1,877
88. 18330 00:36:26 00:24:51 (+11.6)#88 00:24:50 (+11.6)#1,896
89. 17776 00:36:21 00:24:51 (+11.5)#89 00:24:50 (+11.5)#1,936
90. 18210 00:36:20 00:24:51 (+11.5)#90 00:24:50 (+11.5)#1,938
91. 18326 00:36:12 00:24:51 (+11.3)#91 00:24:50 (+11.4)#1,985
92. 16259 00:36:07 00:24:51 (+11.3)#92 00:24:50 (+11.3)#2,017
93. 19111 00:36:06 00:24:51 (+11.2)#93 00:24:50 (+11.3)#2,027
94. 18929 00:36:05 00:24:51 (+11.2)#94 00:24:50 (+11.2)#2,033
95. 18942 00:36:04 00:24:51 (+11.2)#95 00:24:50 (+11.2)#2,035
96. 19142 00:36:04 00:24:51 (+11.2)#96 00:24:50 (+11.2)#2,039
97. 15458 00:35:58 00:24:51 (+11.1)#97 00:24:50 (+11.1)#2,082
98. 16040 00:35:57 00:24:51 (+11.1)#98 00:24:50 (+11.1)#2,086
99. 19120 00:35:57 00:24:51 (+11.1)#99 00:24:50 (+11.1)#2,089
100. 19127 00:35:55 00:24:51 (+11.1)#100 00:24:50 (+11.1)#2,099

Common Questions

What are the Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Pennsylvania?
Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Pennsylvania are:
#1
01:17:26
#2
01:10:07
#3
01:07:30
#4
01:06:37
#5
01:03:39
#6
01:00:17
#7
00:55:16
#8
00:53:19
#9
00:51:16
#10
00:50:07
What zip code has the Longest Median Commute Time to Work for Females in Pennsylvania?
15490 has the Longest Median Commute Time to Work for Females in Pennsylvania with 01:17:26.
What is the Median Commute Time to Work for Females in the State of Pennsylvania?
Median Commute Time to Work for Females in Pennsylvania is 00:24:51.
What is the Median Commute Time to Work for Females in the United States?
Median Commute Time to Work for Females in the United States is 00:24:50.