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

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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
Wisconsin
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1.5451700:02:0300:20:51(-18.8)#100:24:50(-22.8)#1
2.5492600:02:1200:20:51(-18.7)#200:24:50(-22.6)#3
3.5421100:07:0000:20:51(-13.9)#300:24:50(-17.8)#220
4.5319500:09:0200:20:51(-11.8)#400:24:50(-15.8)#386
5.5421000:11:1700:20:51(-9.57)#500:24:50(-13.5)#791
6.5456800:11:4400:20:51(-9.12)#600:24:50(-13.1)#929
7.5481400:12:0600:20:51(-8.76)#700:24:50(-12.7)#1,052
8.5423400:12:1600:20:51(-8.59)#800:24:50(-12.6)#1,098
9.5414300:12:5100:20:51(-8.01)#900:24:50(-12.0)#1,288
10.5308500:13:1000:20:51(-7.69)#1000:24:50(-11.7)#1,408
11.5480600:13:3300:20:51(-7.30)#1100:24:50(-11.3)#1,544
12.5486800:13:3300:20:51(-7.30)#1200:24:50(-11.3)#1,547
13.5461200:13:4200:20:51(-7.16)#1300:24:50(-11.1)#1,612
14.5472000:13:4500:20:51(-7.10)#1400:24:50(-11.1)#1,647
15.5382100:13:5000:20:51(-7.02)#1500:24:50(-11.0)#1,681
16.5420200:13:5400:20:51(-6.96)#1600:24:50(-10.9)#1,715
17.5304400:13:5400:20:51(-6.96)#1700:24:50(-10.9)#1,716
18.5485000:13:5600:20:51(-6.92)#1800:24:50(-10.9)#1,727
19.5493300:13:5600:20:51(-6.92)#1900:24:50(-10.9)#1,728
20.5424600:14:2600:20:51(-6.42)#2000:24:50(-10.4)#1,983
21.5470100:14:3300:20:51(-6.32)#2100:24:50(-10.3)#2,049
22.5440100:14:3300:20:51(-6.31)#2200:24:50(-10.3)#2,057
23.5455500:14:3800:20:51(-6.23)#2300:24:50(-10.2)#2,106
24.5308100:14:3800:20:51(-6.22)#2400:24:50(-10.2)#2,113
25.5453800:14:4300:20:51(-6.15)#2500:24:50(-10.1)#2,162
26.5491100:14:5100:20:51(-6.00)#2600:24:50(-9.98)#2,250
27.5445800:14:5200:20:51(-5.99)#2700:24:50(-9.96)#2,262
28.5422000:14:5500:20:51(-5.95)#2800:24:50(-9.92)#2,285
29.5320300:14:5600:20:51(-5.92)#2900:24:50(-9.90)#2,295
30.5490200:15:0400:20:51(-5.79)#3000:24:50(-9.77)#2,370
31.5448100:15:1600:20:51(-5.60)#3100:24:50(-9.57)#2,490
32.5444100:15:1600:20:51(-5.59)#3200:24:50(-9.56)#2,494
33.5423500:15:1700:20:51(-5.58)#3300:24:50(-9.55)#2,500
34.5430100:15:2100:20:51(-5.51)#3400:24:50(-9.49)#2,536
35.5444900:15:2500:20:51(-5.44)#3500:24:50(-9.42)#2,594
36.5413500:15:2600:20:51(-5.42)#3600:24:50(-9.40)#2,613
37.5488000:15:2600:20:51(-5.42)#3700:24:50(-9.39)#2,614
38.5453400:15:2800:20:51(-5.40)#3800:24:50(-9.37)#2,634
39.5421200:15:2900:20:51(-5.38)#3900:24:50(-9.35)#2,647
40.5470300:15:3100:20:51(-5.35)#4000:24:50(-9.32)#2,667
41.5497100:15:4200:20:51(-5.15)#4100:24:50(-9.13)#2,794
42.5416600:15:4400:20:51(-5.12)#4200:24:50(-9.10)#2,818
43.5396300:15:4700:20:51(-5.08)#4300:24:50(-9.06)#2,849
44.5431100:15:5300:20:51(-4.98)#4400:24:50(-8.96)#2,928
45.5307000:15:5300:20:51(-4.97)#4500:24:50(-8.94)#2,937
46.5371300:15:5400:20:51(-4.96)#4600:24:50(-8.93)#2,944
47.5440900:15:5400:20:51(-4.95)#4700:24:50(-8.93)#2,951
48.5455000:15:5500:20:51(-4.94)#4800:24:50(-8.91)#2,960
49.5484800:15:5600:20:51(-4.92)#4900:24:50(-8.90)#2,970
50.5460100:16:0100:20:51(-4.85)#5000:24:50(-8.82)#3,040
51.5492700:16:0200:20:51(-4.82)#5100:24:50(-8.80)#3,061
52.5493500:16:0300:20:51(-4.81)#5200:24:50(-8.79)#3,067
53.5430400:16:0400:20:51(-4.79)#5300:24:50(-8.77)#3,084
54.5306900:16:0500:20:51(-4.77)#5400:24:50(-8.75)#3,102
55.5452500:16:0900:20:51(-4.70)#5500:24:50(-8.68)#3,155
56.5395300:16:1200:20:51(-4.66)#5600:24:50(-8.64)#3,189
57.5452400:16:1800:20:51(-4.56)#5700:24:50(-8.53)#3,274
58.5371500:16:1900:20:51(-4.54)#5800:24:50(-8.52)#3,286
59.5445100:16:2700:20:51(-4.41)#5900:24:50(-8.39)#3,412
60.5466000:16:2700:20:51(-4.41)#6000:24:50(-8.38)#3,419
61.5484500:16:2800:20:51(-4.40)#6100:24:50(-8.37)#3,437
62.5323300:16:2900:20:51(-4.38)#6200:24:50(-8.35)#3,454
63.5454700:16:2900:20:51(-4.37)#6300:24:50(-8.35)#3,457
64.5440300:16:3000:20:51(-4.36)#6400:24:50(-8.33)#3,474
65.5460300:16:3300:20:51(-4.31)#6500:24:50(-8.28)#3,522
66.5447600:16:3500:20:51(-4.28)#6600:24:50(-8.26)#3,543
67.5316700:16:3700:20:51(-4.24)#6700:24:50(-8.22)#3,592
68.5489100:16:3900:20:51(-4.20)#6800:24:50(-8.18)#3,622
69.5411500:16:4200:20:51(-4.16)#6900:24:50(-8.13)#3,670
70.5372600:16:4200:20:51(-4.15)#7000:24:50(-8.13)#3,684
71.5490400:16:4700:20:51(-4.07)#7100:24:50(-8.05)#3,745
72.5454800:16:4800:20:51(-4.07)#7200:24:50(-8.04)#3,755
73.5448200:16:4900:20:51(-4.03)#7300:24:50(-8.01)#3,793
74.5307300:16:5100:20:51(-4.00)#7400:24:50(-7.98)#3,815
75.5430300:16:5700:20:51(-3.90)#7500:24:50(-7.88)#3,917
76.5464500:17:0400:20:51(-3.78)#7600:24:50(-7.76)#4,035
77.5430200:17:0600:20:51(-3.76)#7700:24:50(-7.74)#4,054
78.5370500:17:1000:20:51(-3.70)#7800:24:50(-7.67)#4,122
79.5481200:17:1300:20:51(-3.64)#7900:24:50(-7.62)#4,166
80.5490100:17:1600:20:51(-3.59)#8000:24:50(-7.57)#4,223
81.5447900:17:1800:20:51(-3.57)#8100:24:50(-7.54)#4,251
82.5354900:17:1800:20:51(-3.56)#8200:24:50(-7.54)#4,253
83.5446700:17:1800:20:51(-3.56)#8300:24:50(-7.54)#4,254
84.5414000:17:1800:20:51(-3.55)#8400:24:50(-7.53)#4,267
85.5356600:17:2000:20:51(-3.53)#8500:24:50(-7.50)#4,285
86.5498100:17:2100:20:51(-3.51)#8600:24:50(-7.48)#4,310
87.5381800:17:2100:20:51(-3.50)#8700:24:50(-7.48)#4,313
88.5446400:17:3000:20:51(-3.37)#8800:24:50(-7.34)#4,456
89.5319000:17:3100:20:51(-3.35)#8900:24:50(-7.32)#4,473
90.5484300:17:3100:20:51(-3.33)#9000:24:50(-7.31)#4,488
91.5495600:17:3300:20:51(-3.31)#9100:24:50(-7.29)#4,510
92.5461500:17:3700:20:51(-3.24)#9200:24:50(-7.22)#4,586
93.5493100:17:3800:20:51(-3.22)#9300:24:50(-7.20)#4,614
94.5493200:17:3900:20:51(-3.21)#9400:24:50(-7.18)#4,628
95.5412100:17:4300:20:51(-3.14)#9500:24:50(-7.11)#4,702
96.5466500:17:4500:20:51(-3.10)#9600:24:50(-7.08)#4,748
97.5370600:17:4600:20:51(-3.10)#9700:24:50(-7.07)#4,750
98.5308300:17:5000:20:51(-3.03)#9800:24:50(-7.00)#4,824
99.5371700:17:5300:20:51(-2.97)#9900:24:50(-6.94)#4,895
100.5380500:17:5400:20:51(-2.95)#10000:24:50(-6.93)#4,905

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Wisconsin?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Wisconsin are:
#1
00:02:03
#2
00:02:12
#3
00:07:00
#4
00:09:02
#5
00:11:17
#6
00:11:44
#7
00:12:06
#8
00:12:16
#9
00:12:51
#10
00:13:10
What zip code has the Shortest Median Commute Time to Work for Females in Wisconsin?
54517 has the Shortest Median Commute Time to Work for Females in Wisconsin with 00:02:03.
What is the Median Commute Time to Work for Females in the State of Wisconsin?
Median Commute Time to Work for Females in Wisconsin is 00:20:51.
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.