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

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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
Wisconsin
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1. 54565 00:52:00 00:20:51 (+31.1)#1 00:24:50 (+27.2)#212
2. 54842 00:46:37 00:20:51 (+25.8)#2 00:24:50 (+21.8)#427
3. 54980 00:41:30 00:20:51 (+20.6)#3 00:24:50 (+16.7)#863
4. 54413 00:40:21 00:20:51 (+19.5)#4 00:24:50 (+15.5)#1,012
5. 54861 00:40:18 00:20:51 (+19.4)#5 00:24:50 (+15.5)#1,024
6. 53802 00:39:01 00:20:51 (+18.2)#6 00:24:50 (+14.2)#1,238
7. 54545 00:38:01 00:20:51 (+17.2)#7 00:24:50 (+13.2)#1,447
8. 53947 00:37:54 00:20:51 (+17.1)#8 00:24:50 (+13.1)#1,478
9. 54447 00:37:53 00:20:51 (+17.0)#9 00:24:50 (+13.1)#1,484
10. 54849 00:37:52 00:20:51 (+17.0)#10 00:24:50 (+13.0)#1,490
11. 54862 00:37:47 00:20:51 (+16.9)#11 00:24:50 (+12.9)#1,510
12. 53181 00:37:43 00:20:51 (+16.9)#12 00:24:50 (+12.9)#1,529
13. 54734 00:37:41 00:20:51 (+16.8)#13 00:24:50 (+12.9)#1,535
14. 54463 00:37:26 00:20:51 (+16.6)#14 00:24:50 (+12.6)#1,615
15. 54003 00:36:57 00:20:51 (+16.1)#15 00:24:50 (+12.1)#1,759
16. 54082 00:36:42 00:20:51 (+15.8)#16 00:24:50 (+11.9)#1,823
17. 53557 00:36:24 00:20:51 (+15.5)#17 00:24:50 (+11.6)#1,911
18. 54874 00:35:53 00:20:51 (+15.0)#18 00:24:50 (+11.0)#2,117
19. 53569 00:35:34 00:20:51 (+14.7)#19 00:24:50 (+10.7)#2,228
20. 53506 00:34:52 00:20:51 (+14.0)#20 00:24:50 (+10.0)#2,494
21. 54624 00:34:43 00:20:51 (+13.9)#21 00:24:50 (+9.88)#2,570
22. 54529 00:34:29 00:20:51 (+13.6)#22 00:24:50 (+9.66)#2,693
23. 53942 00:34:24 00:20:51 (+13.5)#23 00:24:50 (+9.57)#2,742
24. 54967 00:34:21 00:20:51 (+13.5)#24 00:24:50 (+9.52)#2,763
25. 54838 00:34:12 00:20:51 (+13.3)#25 00:24:50 (+9.36)#2,836
26. 54965 00:34:12 00:20:51 (+13.3)#26 00:24:50 (+9.36)#2,837
27. 54628 00:33:49 00:20:51 (+13.0)#27 00:24:50 (+8.98)#2,994
28. 53128 00:33:40 00:20:51 (+12.8)#28 00:24:50 (+8.84)#3,072
29. 53516 00:33:25 00:20:51 (+12.6)#29 00:24:50 (+8.58)#3,207
30. 54873 00:33:00 00:20:51 (+12.1)#30 00:24:50 (+8.16)#3,459
31. 54435 00:32:58 00:20:51 (+12.1)#31 00:24:50 (+8.14)#3,478
32. 53503 00:32:44 00:20:51 (+11.9)#32 00:24:50 (+7.90)#3,634
33. 53574 00:32:44 00:20:51 (+11.9)#33 00:24:50 (+7.90)#3,638
34. 53939 00:32:38 00:20:51 (+11.8)#34 00:24:50 (+7.80)#3,698
35. 53952 00:32:36 00:20:51 (+11.7)#35 00:24:50 (+7.76)#3,733
36. 54772 00:32:13 00:20:51 (+11.4)#36 00:24:50 (+7.38)#4,015
37. 54810 00:32:04 00:20:51 (+11.2)#37 00:24:50 (+7.24)#4,110
38. 54761 00:32:01 00:20:51 (+11.2)#38 00:24:50 (+7.18)#4,159
39. 54836 00:32:00 00:20:51 (+11.1)#39 00:24:50 (+7.16)#4,175
40. 53544 00:31:51 00:20:51 (+11.0)#40 00:24:50 (+7.02)#4,277
41. 53943 00:31:51 00:20:51 (+11.0)#41 00:24:50 (+7.02)#4,278
42. 53810 00:31:22 00:20:51 (+10.5)#42 00:24:50 (+6.53)#4,681
43. 54854 00:31:19 00:20:51 (+10.5)#43 00:24:50 (+6.48)#4,732
44. 53168 00:31:17 00:20:51 (+10.4)#44 00:24:50 (+6.45)#4,767
45. 54622 00:31:12 00:20:51 (+10.3)#45 00:24:50 (+6.37)#4,839
46. 54462 00:31:12 00:20:51 (+10.3)#46 00:24:50 (+6.36)#4,850
47. 54564 00:31:10 00:20:51 (+10.3)#47 00:24:50 (+6.34)#4,859
48. 54909 00:31:04 00:20:51 (+10.2)#48 00:24:50 (+6.23)#4,941
49. 54648 00:31:04 00:20:51 (+10.2)#49 00:24:50 (+6.23)#4,948
50. 54750 00:31:01 00:20:51 (+10.2)#50 00:24:50 (+6.19)#4,987
51. 54106 00:31:01 00:20:51 (+10.2)#51 00:24:50 (+6.18)#5,000
52. 54745 00:30:59 00:20:51 (+10.1)#52 00:24:50 (+6.16)#5,026
53. 53936 00:30:59 00:20:51 (+10.1)#53 00:24:50 (+6.14)#5,038
54. 54646 00:30:57 00:20:51 (+10.1)#54 00:24:50 (+6.12)#5,058
55. 54006 00:30:52 00:20:51 (+10.0)#55 00:24:50 (+6.03)#5,128
56. 53555 00:30:51 00:20:51 (+9.99)#56 00:24:50 (+6.02)#5,142
57. 54129 00:30:42 00:20:51 (+9.84)#57 00:24:50 (+5.86)#5,281
58. 54847 00:30:40 00:20:51 (+9.81)#58 00:24:50 (+5.83)#5,309
59. 54867 00:30:35 00:20:51 (+9.72)#59 00:24:50 (+5.75)#5,380
60. 54152 00:30:33 00:20:51 (+9.69)#60 00:24:50 (+5.71)#5,409
61. 54864 00:30:32 00:20:51 (+9.68)#61 00:24:50 (+5.70)#5,417
62. 53960 00:30:32 00:20:51 (+9.67)#62 00:24:50 (+5.70)#5,421
63. 53137 00:30:30 00:20:51 (+9.63)#63 00:24:50 (+5.66)#5,459
64. 54026 00:30:23 00:20:51 (+9.52)#64 00:24:50 (+5.55)#5,557
65. 53502 00:30:13 00:20:51 (+9.36)#65 00:24:50 (+5.38)#5,719
66. 53577 00:30:06 00:20:51 (+9.24)#66 00:24:50 (+5.26)#5,846
67. 54526 00:30:04 00:20:51 (+9.21)#67 00:24:50 (+5.23)#5,877
68. 53119 00:30:00 00:20:51 (+9.14)#68 00:24:50 (+5.16)#5,930
69. 54632 00:30:00 00:20:51 (+9.13)#69 00:24:50 (+5.16)#5,935
70. 54821 00:29:47 00:20:51 (+8.92)#70 00:24:50 (+4.95)#6,190
71. 54169 00:29:44 00:20:51 (+8.87)#71 00:24:50 (+4.89)#6,257
72. 53541 00:29:43 00:20:51 (+8.85)#72 00:24:50 (+4.88)#6,277
73. 54762 00:29:35 00:20:51 (+8.72)#73 00:24:50 (+4.74)#6,418
74. 53091 00:29:31 00:20:51 (+8.66)#74 00:24:50 (+4.68)#6,500
75. 53556 00:29:17 00:20:51 (+8.42)#75 00:24:50 (+4.45)#6,768
76. 53825 00:29:16 00:20:51 (+8.41)#76 00:24:50 (+4.43)#6,793
77. 54015 00:29:14 00:20:51 (+8.38)#77 00:24:50 (+4.40)#6,832
78. 53521 00:29:13 00:20:51 (+8.37)#78 00:24:50 (+4.39)#6,852
79. 54830 00:29:12 00:20:51 (+8.34)#79 00:24:50 (+4.36)#6,882
80. 54725 00:29:12 00:20:51 (+8.34)#80 00:24:50 (+4.36)#6,890
81. 54766 00:29:11 00:20:51 (+8.32)#81 00:24:50 (+4.34)#6,908
82. 54114 00:29:09 00:20:51 (+8.29)#82 00:24:50 (+4.32)#6,939
83. 54767 00:29:08 00:20:51 (+8.28)#83 00:24:50 (+4.31)#6,949
84. 53517 00:29:06 00:20:51 (+8.24)#84 00:24:50 (+4.27)#6,985
85. 53149 00:29:01 00:20:51 (+8.16)#85 00:24:50 (+4.18)#7,073
86. 54457 00:29:00 00:20:51 (+8.13)#86 00:24:50 (+4.16)#7,099
87. 53103 00:28:58 00:20:51 (+8.10)#87 00:24:50 (+4.13)#7,139
88. 53932 00:28:55 00:20:51 (+8.05)#88 00:24:50 (+4.08)#7,212
89. 53955 00:28:52 00:20:51 (+8.02)#89 00:24:50 (+4.04)#7,256
90. 54840 00:28:46 00:20:51 (+7.91)#90 00:24:50 (+3.93)#7,377
91. 53801 00:28:45 00:20:51 (+7.90)#91 00:24:50 (+3.92)#7,398
92. 54835 00:28:41 00:20:51 (+7.83)#92 00:24:50 (+3.85)#7,481
93. 54174 00:28:38 00:20:51 (+7.77)#93 00:24:50 (+3.80)#7,560
94. 53086 00:28:34 00:20:51 (+7.71)#94 00:24:50 (+3.74)#7,632
95. 53924 00:28:32 00:20:51 (+7.68)#95 00:24:50 (+3.71)#7,663
96. 54177 00:28:32 00:20:51 (+7.68)#96 00:24:50 (+3.70)#7,674
97. 54642 00:28:32 00:20:51 (+7.68)#97 00:24:50 (+3.70)#7,675
98. 54651 00:28:29 00:20:51 (+7.63)#98 00:24:50 (+3.65)#7,736
99. 53104 00:28:27 00:20:51 (+7.59)#99 00:24:50 (+3.61)#7,785
100. 53944 00:28:26 00:20:51 (+7.57)#100 00:24:50 (+3.59)#7,813

Common Questions

What are the Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Wisconsin?
Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Wisconsin are:
#1
00:52:00
#2
00:46:37
#3
00:41:30
#4
00:40:21
#5
00:40:18
#6
00:39:01
#7
00:38:01
#8
00:37:54
#9
00:37:53
#10
00:37:52
What zip code has the Longest Median Commute Time to Work for Females in Wisconsin?
54565 has the Longest Median Commute Time to Work for Females in Wisconsin with 00:52:00.
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.