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

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Shortest 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 Shortest Median Commute Time to Work for Females in Pennsylvania

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

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

Zip Code Commute Time vs State vs National
1.1570500:04:3900:24:51(-20.2)#100:24:50(-20.2)#81
2.1666500:05:5500:24:51(-18.9)#200:24:50(-18.9)#157
3.1843700:06:0000:24:51(-18.9)#300:24:50(-18.8)#162
4.1835000:07:4500:24:51(-17.1)#400:24:50(-17.1)#267
5.1575400:08:1500:24:51(-16.6)#500:24:50(-16.6)#307
6.1702700:08:2900:24:51(-16.4)#600:24:50(-16.3)#336
7.1685100:08:5800:24:51(-15.9)#700:24:50(-15.9)#378
8.1837200:09:1400:24:51(-15.6)#800:24:50(-15.6)#414
9.1797400:09:3000:24:51(-15.4)#900:24:50(-15.3)#455
10.1686800:09:3100:24:51(-15.3)#1000:24:50(-15.3)#458
11.1955000:09:3600:24:51(-15.3)#1100:24:50(-15.2)#468
12.1680200:09:5600:24:51(-14.9)#1200:24:50(-14.9)#512
13.1548900:10:1600:24:51(-14.6)#1300:24:50(-14.6)#570
14.1673200:10:1700:24:51(-14.6)#1400:24:50(-14.5)#578
15.1614000:10:2300:24:51(-14.5)#1500:24:50(-14.5)#592
16.1553200:10:2600:24:51(-14.4)#1600:24:50(-14.4)#600
17.1673300:10:3300:24:51(-14.3)#1700:24:50(-14.3)#629
18.1650100:10:3400:24:51(-14.3)#1800:24:50(-14.3)#631
19.1563400:10:3900:24:51(-14.2)#1900:24:50(-14.2)#650
20.1603600:10:4100:24:51(-14.2)#2000:24:50(-14.1)#656
21.1566100:10:5500:24:51(-13.9)#2100:24:50(-13.9)#709
22.1584100:11:0200:24:51(-13.8)#2200:24:50(-13.8)#733
23.1573700:11:1500:24:51(-13.6)#2300:24:50(-13.6)#779
24.1846300:11:3000:24:51(-13.4)#2400:24:50(-13.3)#855
25.1786200:11:3500:24:51(-13.3)#2500:24:50(-13.3)#884
26.1783500:11:4500:24:51(-13.1)#2600:24:50(-13.1)#939
27.1934500:11:4800:24:51(-13.1)#2700:24:50(-13.0)#950
28.1503100:11:5100:24:51(-13.0)#2800:24:50(-13.0)#966
29.1786100:12:0100:24:51(-12.8)#2900:24:50(-12.8)#1,030
30.1585700:12:1300:24:51(-12.6)#3000:24:50(-12.6)#1,086
31.1774800:12:1900:24:51(-12.5)#3100:24:50(-12.5)#1,113
32.1644400:12:2100:24:51(-12.5)#3200:24:50(-12.5)#1,120
33.1808700:12:2500:24:51(-12.4)#3300:24:50(-12.4)#1,137
34.1895000:12:3000:24:51(-12.4)#3400:24:50(-12.3)#1,159
35.1569600:12:3200:24:51(-12.3)#3500:24:50(-12.3)#1,171
36.1709900:12:4200:24:51(-12.2)#3600:24:50(-12.1)#1,217
37.1528200:12:4800:24:51(-12.1)#3700:24:50(-12.0)#1,270
38.1617200:12:5000:24:51(-12.0)#3800:24:50(-12.0)#1,284
39.1692700:12:5700:24:51(-11.9)#3900:24:50(-11.9)#1,325
40.1582700:12:5800:24:51(-11.9)#4000:24:50(-11.9)#1,333
41.1564600:13:1000:24:51(-11.7)#4100:24:50(-11.7)#1,405
42.1541300:13:1200:24:51(-11.7)#4200:24:50(-11.6)#1,420
43.1750500:13:1300:24:51(-11.6)#4300:24:50(-11.6)#1,428
44.1700900:13:1500:24:51(-11.6)#4400:24:50(-11.6)#1,440
45.1506400:13:2100:24:51(-11.5)#4500:24:50(-11.5)#1,477
46.1584000:13:2700:24:51(-11.4)#4600:24:50(-11.4)#1,506
47.1682700:13:3100:24:51(-11.3)#4700:24:50(-11.3)#1,532
48.1656300:13:3400:24:51(-11.3)#4800:24:50(-11.3)#1,554
49.1847300:13:3500:24:51(-11.3)#4900:24:50(-11.3)#1,556
50.1775000:13:3800:24:51(-11.2)#5000:24:50(-11.2)#1,575
51.1500400:13:4500:24:51(-11.1)#5100:24:50(-11.1)#1,631
52.1825400:13:4900:24:51(-11.0)#5200:24:50(-11.0)#1,668
53.1937400:13:5000:24:51(-11.0)#5300:24:50(-11.0)#1,677
54.1794500:13:5200:24:51(-11.0)#5400:24:50(-11.0)#1,692
55.1563300:13:5200:24:51(-11.0)#5500:24:50(-11.0)#1,696
56.1543300:14:0600:24:51(-10.8)#5600:24:50(-10.7)#1,812
57.1615100:14:0900:24:51(-10.7)#5700:24:50(-10.7)#1,845
58.1787600:14:1600:24:51(-10.6)#5800:24:50(-10.6)#1,895
59.1636500:14:2700:24:51(-10.4)#5900:24:50(-10.4)#1,997
60.1505500:14:2900:24:51(-10.4)#6000:24:50(-10.4)#2,010
61.1788600:14:3300:24:51(-10.3)#6100:24:50(-10.3)#2,054
62.1578400:14:3300:24:51(-10.3)#6200:24:50(-10.3)#2,061
63.1643000:14:3700:24:51(-10.2)#6300:24:50(-10.2)#2,096
64.1561200:14:4100:24:51(-10.2)#6400:24:50(-10.2)#2,139
65.1650800:14:4200:24:51(-10.2)#6500:24:50(-10.1)#2,150
66.1633200:14:4200:24:51(-10.2)#6600:24:50(-10.1)#2,154
67.1938300:14:4600:24:51(-10.1)#6700:24:50(-10.1)#2,196
68.1616100:14:4600:24:51(-10.1)#6800:24:50(-10.1)#2,197
69.1684800:14:4700:24:51(-10.1)#6900:24:50(-10.1)#2,201
70.1770100:14:4800:24:51(-10.1)#7000:24:50(-10.0)#2,214
71.1670100:14:4900:24:51(-10.0)#7100:24:50(-10.0)#2,226
72.1548400:14:5100:24:51(-10.00)#7200:24:50(-9.98)#2,252
73.1792300:14:5200:24:51(-9.99)#7300:24:50(-9.97)#2,256
74.1580100:14:5600:24:51(-9.92)#7400:24:50(-9.90)#2,294
75.1783700:14:5700:24:51(-9.91)#7500:24:50(-9.89)#2,301
76.1654600:15:0000:24:51(-9.86)#7600:24:50(-9.84)#2,318
77.1834200:15:0000:24:51(-9.86)#7700:24:50(-9.84)#2,320
78.1650900:15:0200:24:51(-9.82)#7800:24:50(-9.80)#2,351
79.1796500:15:0700:24:51(-9.74)#7900:24:50(-9.72)#2,394
80.1850800:15:0700:24:51(-9.74)#8000:24:50(-9.72)#2,402
81.1621400:15:1000:24:51(-9.69)#8100:24:50(-9.67)#2,424
82.1660200:15:1000:24:51(-9.68)#8200:24:50(-9.66)#2,431
83.1570100:15:1200:24:51(-9.66)#8300:24:50(-9.64)#2,439
84.1642100:15:1600:24:51(-9.60)#8400:24:50(-9.57)#2,486
85.1703300:15:1600:24:51(-9.58)#8500:24:50(-9.56)#2,496
86.1850300:15:1700:24:51(-9.58)#8600:24:50(-9.56)#2,499
87.1737100:15:1700:24:51(-9.57)#8700:24:50(-9.55)#2,503
88.1583400:15:2000:24:51(-9.52)#8800:24:50(-9.50)#2,526
89.1542200:15:2100:24:51(-9.51)#8900:24:50(-9.48)#2,538
90.1602900:15:2100:24:51(-9.50)#9000:24:50(-9.48)#2,546
91.1594800:15:2600:24:51(-9.43)#9100:24:50(-9.41)#2,606
92.1691500:15:3000:24:51(-9.36)#9200:24:50(-9.34)#2,655
93.1775400:15:3500:24:51(-9.27)#9300:24:50(-9.25)#2,703
94.1650700:15:3700:24:51(-9.24)#9400:24:50(-9.22)#2,717
95.1614600:15:4000:24:51(-9.18)#9500:24:50(-9.16)#2,758
96.1614800:15:4200:24:51(-9.15)#9600:24:50(-9.13)#2,795
97.1612100:15:4600:24:51(-9.08)#9700:24:50(-9.06)#2,846
98.1674400:15:4700:24:51(-9.07)#9800:24:50(-9.05)#2,856
99.1847100:15:4800:24:51(-9.06)#9900:24:50(-9.04)#2,864
100.1650500:15:4800:24:51(-9.06)#10000:24:50(-9.04)#2,866

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Pennsylvania?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Pennsylvania are:
#1
00:04:39
#2
00:05:55
#3
00:06:00
#4
00:07:45
#5
00:08:15
#6
00:08:29
#7
00:08:58
#8
00:09:14
#9
00:09:30
#10
00:09:31
What zip code has the Shortest Median Commute Time to Work for Females in Pennsylvania?
15705 has the Shortest Median Commute Time to Work for Females in Pennsylvania with 00:04:39.
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.