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

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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
Washington
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1.9910500:03:1900:25:13(-21.9)#100:24:50(-21.5)#22
2.9843000:03:5900:25:13(-21.2)#200:24:50(-20.9)#47
3.9827800:04:4300:25:13(-20.5)#300:24:50(-20.1)#84
4.9835700:05:0200:25:13(-20.2)#400:24:50(-19.8)#104
5.9858500:05:1300:25:13(-20.0)#500:24:50(-19.6)#115
6.9859000:05:1500:25:13(-20.0)#600:24:50(-19.6)#117
7.9894100:06:1400:25:13(-19.0)#700:24:50(-18.6)#175
8.9835000:06:1500:25:13(-19.0)#800:24:50(-18.6)#180
9.9852600:06:1800:25:13(-18.9)#900:24:50(-18.5)#182
10.9864400:07:4800:25:13(-17.4)#1000:24:50(-17.0)#269
11.9925800:07:5100:25:13(-17.4)#1100:24:50(-17.0)#272
12.9841600:07:5300:25:13(-17.3)#1200:24:50(-17.0)#274
13.9844700:08:1700:25:13(-16.9)#1300:24:50(-16.6)#310
14.9843800:08:3800:25:13(-16.6)#1400:24:50(-16.2)#350
15.9850500:08:4900:25:13(-16.4)#1500:24:50(-16.0)#369
16.9858700:09:3100:25:13(-15.7)#1600:24:50(-15.3)#459
17.9829700:10:0000:25:13(-15.2)#1700:24:50(-14.8)#532
18.9925100:10:0600:25:13(-15.1)#1800:24:50(-14.7)#551
19.9892300:10:3600:25:13(-14.6)#1900:24:50(-14.2)#639
20.9884100:10:5400:25:13(-14.3)#2000:24:50(-13.9)#703
21.9881200:11:2400:25:13(-13.8)#2100:24:50(-13.4)#820
22.9932400:11:2400:25:13(-13.8)#2200:24:50(-13.4)#821
23.9935700:11:3600:25:13(-13.6)#2300:24:50(-13.2)#890
24.9936200:12:1100:25:13(-13.0)#2400:24:50(-12.6)#1,079
25.9916600:12:1200:25:13(-13.0)#2500:24:50(-12.6)#1,083
26.9884900:12:4300:25:13(-12.5)#2600:24:50(-12.1)#1,225
27.9828100:13:0300:25:13(-12.2)#2700:24:50(-11.8)#1,363
28.9940300:13:0500:25:13(-12.1)#2800:24:50(-11.7)#1,372
29.9859500:13:0500:25:13(-12.1)#2900:24:50(-11.7)#1,373
30.9884000:13:0800:25:13(-12.1)#3000:24:50(-11.7)#1,397
31.9904000:13:1600:25:13(-11.9)#3100:24:50(-11.6)#1,443
32.9825000:13:1800:25:13(-11.9)#3200:24:50(-11.5)#1,459
33.9916300:13:2000:25:13(-11.9)#3300:24:50(-11.5)#1,472
34.9826100:13:3000:25:13(-11.7)#3400:24:50(-11.3)#1,528
35.9915500:13:3700:25:13(-11.6)#3500:24:50(-11.2)#1,568
36.9893800:13:3800:25:13(-11.6)#3600:24:50(-11.2)#1,582
37.9863100:13:5100:25:13(-11.4)#3700:24:50(-11.0)#1,689
38.9852700:13:5400:25:13(-11.3)#3800:24:50(-10.9)#1,711
39.9882400:13:5400:25:13(-11.3)#3900:24:50(-10.9)#1,714
40.9865100:13:5800:25:13(-11.2)#4000:24:50(-10.9)#1,740
41.9836800:14:1200:25:13(-11.0)#4100:24:50(-10.6)#1,874
42.9833100:14:1200:25:13(-11.0)#4200:24:50(-10.6)#1,875
43.9883100:14:1300:25:13(-11.0)#4300:24:50(-10.6)#1,880
44.9824300:14:2000:25:13(-10.9)#4400:24:50(-10.5)#1,926
45.9843300:14:2100:25:13(-10.9)#4500:24:50(-10.5)#1,930
46.9860500:14:2700:25:13(-10.8)#4600:24:50(-10.4)#1,996
47.9858600:14:2800:25:13(-10.7)#4700:24:50(-10.4)#2,006
48.9824500:14:4300:25:13(-10.5)#4800:24:50(-10.1)#2,169
49.9885700:14:4600:25:13(-10.4)#4900:24:50(-10.1)#2,194
50.9911600:15:0000:25:13(-10.2)#5000:24:50(-9.84)#2,317
51.9912400:15:0000:25:13(-10.2)#5100:24:50(-9.84)#2,325
52.9828000:15:0400:25:13(-10.1)#5200:24:50(-9.76)#2,378
53.9881600:15:0800:25:13(-10.1)#5300:24:50(-9.70)#2,408
54.9912300:15:0900:25:13(-10.1)#5400:24:50(-9.69)#2,415
55.9934500:15:1400:25:13(-9.98)#5500:24:50(-9.60)#2,459
56.9836100:15:1400:25:13(-9.97)#5600:24:50(-9.60)#2,469
57.9890200:15:1700:25:13(-9.93)#5700:24:50(-9.55)#2,502
58.9886200:15:3100:25:13(-9.70)#5800:24:50(-9.32)#2,666
59.9913300:15:4200:25:13(-9.51)#5900:24:50(-9.13)#2,785
60.9890100:15:4400:25:13(-9.49)#6000:24:50(-9.11)#2,812
61.9880100:15:4600:25:13(-9.44)#6100:24:50(-9.06)#2,841
62.9932600:15:4700:25:13(-9.42)#6200:24:50(-9.04)#2,861
63.9932100:15:4700:25:13(-9.42)#6300:24:50(-9.04)#2,862
64.9816400:15:5000:25:13(-9.37)#6400:24:50(-8.99)#2,898
65.9920200:15:5900:25:13(-9.22)#6500:24:50(-8.85)#3,019
66.9861000:16:1200:25:13(-9.02)#6600:24:50(-8.64)#3,184
67.9833600:16:2000:25:13(-8.88)#6700:24:50(-8.51)#3,298
68.9856500:16:2000:25:13(-8.88)#6800:24:50(-8.50)#3,303
69.9820700:16:2500:25:13(-8.79)#6900:24:50(-8.41)#3,377
70.9911400:16:3700:25:13(-8.59)#7000:24:50(-8.22)#3,591
71.9913900:16:4100:25:13(-8.53)#7100:24:50(-8.16)#3,649
72.9892600:16:4200:25:13(-8.51)#7200:24:50(-8.13)#3,671
73.9831400:16:4800:25:13(-8.41)#7300:24:50(-8.03)#3,774
74.9894200:16:5100:25:13(-8.35)#7400:24:50(-7.98)#3,817
75.9867200:16:5300:25:13(-8.32)#7500:24:50(-7.95)#3,850
76.9826400:16:5400:25:13(-8.31)#7600:24:50(-7.93)#3,868
77.9935400:16:5700:25:13(-8.26)#7700:24:50(-7.88)#3,919
78.9862400:16:5800:25:13(-8.25)#7800:24:50(-7.87)#3,925
79.9915400:17:1300:25:13(-8.00)#7900:24:50(-7.62)#4,170
80.9901100:17:2000:25:13(-7.87)#8000:24:50(-7.50)#4,295
81.9920300:17:2200:25:13(-7.85)#8100:24:50(-7.47)#4,320
82.9911800:17:2800:25:13(-7.75)#8200:24:50(-7.37)#4,419
83.9883700:17:2800:25:13(-7.74)#8300:24:50(-7.36)#4,430
84.9863500:17:3000:25:13(-7.70)#8400:24:50(-7.33)#4,471
85.9933600:17:3100:25:13(-7.69)#8500:24:50(-7.31)#4,489
86.9890300:17:3200:25:13(-7.68)#8600:24:50(-7.31)#4,494
87.9915900:17:3300:25:13(-7.66)#8700:24:50(-7.28)#4,514
88.9932800:17:3800:25:13(-7.57)#8800:24:50(-7.19)#4,620
89.9885100:17:4000:25:13(-7.55)#8900:24:50(-7.17)#4,640
90.9901900:17:4100:25:13(-7.52)#9000:24:50(-7.14)#4,674
91.9885600:17:4300:25:13(-7.50)#9100:24:50(-7.12)#4,692
92.9832500:17:4300:25:13(-7.49)#9200:24:50(-7.11)#4,707
93.9893600:17:4400:25:13(-7.47)#9300:24:50(-7.10)#4,724
94.9832600:17:4700:25:13(-7.42)#9400:24:50(-7.04)#4,773
95.9883600:17:4900:25:13(-7.39)#9500:24:50(-7.01)#4,812
96.9880200:17:5100:25:13(-7.36)#9600:24:50(-6.98)#4,851
97.9827400:17:5600:25:13(-7.28)#9700:24:50(-6.90)#4,942
98.9813400:18:0100:25:13(-7.19)#9800:24:50(-6.82)#5,035
99.9836200:18:0100:25:13(-7.19)#9900:24:50(-6.82)#5,036
100.9823200:18:0800:25:13(-7.08)#10000:24:50(-6.70)#5,196

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Washington?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Washington are:
#1
00:03:19
#2
00:03:59
#3
00:04:43
#4
00:05:02
#5
00:05:13
#6
00:05:15
#7
00:06:14
#8
00:06:15
#9
00:06:18
#10
00:07:48
What zip code has the Shortest Median Commute Time to Work for Females in Washington?
99105 has the Shortest Median Commute Time to Work for Females in Washington with 00:03:19.
What is the Median Commute Time to Work for Females in the State of Washington?
Median Commute Time to Work for Females in Washington is 00:25:13.
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.