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

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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
Minnesota
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1. 55796 00:07:30 00:21:44 (-14.2)#1 00:24:50 (-17.3)#250
2. 55968 00:10:12 00:21:44 (-11.5)#2 00:24:50 (-14.6)#564
3. 56701 00:10:53 00:21:44 (-10.9)#3 00:24:50 (-14.0)#699
4. 55731 00:11:04 00:21:44 (-10.7)#4 00:24:50 (-13.8)#737
5. 56258 00:11:13 00:21:44 (-10.5)#5 00:24:50 (-13.6)#774
6. 56685 00:11:15 00:21:44 (-10.5)#6 00:24:50 (-13.6)#780
7. 56649 00:11:20 00:21:44 (-10.4)#7 00:24:50 (-13.5)#806
8. 56153 00:11:45 00:21:44 (-10.00)#8 00:24:50 (-13.1)#934
9. 56031 00:11:45 00:21:44 (-9.99)#9 00:24:50 (-13.1)#937
10. 56013 00:12:01 00:21:44 (-9.72)#10 00:24:50 (-12.8)#1,031
11. 56267 00:12:20 00:21:44 (-9.40)#11 00:24:50 (-12.5)#1,117
12. 56537 00:12:21 00:21:44 (-9.39)#12 00:24:50 (-12.5)#1,121
13. 56101 00:12:22 00:21:44 (-9.38)#13 00:24:50 (-12.5)#1,125
14. 56763 00:12:23 00:21:44 (-9.35)#14 00:24:50 (-12.4)#1,131
15. 56201 00:12:31 00:21:44 (-9.23)#15 00:24:50 (-12.3)#1,167
16. 55772 00:12:43 00:21:44 (-9.02)#16 00:24:50 (-12.1)#1,229
17. 56283 00:12:44 00:21:44 (-9.01)#17 00:24:50 (-12.1)#1,235
18. 56265 00:12:48 00:21:44 (-8.94)#18 00:24:50 (-12.0)#1,267
19. 56143 00:13:05 00:21:44 (-8.66)#19 00:24:50 (-11.8)#1,369
20. 55605 00:13:10 00:21:44 (-8.57)#20 00:24:50 (-11.7)#1,407
21. 56671 00:13:19 00:21:44 (-8.43)#21 00:24:50 (-11.5)#1,462
22. 56278 00:13:24 00:21:44 (-8.34)#22 00:24:50 (-11.4)#1,495
23. 55455 00:13:25 00:21:44 (-8.32)#23 00:24:50 (-11.4)#1,500
24. 55604 00:13:31 00:21:44 (-8.22)#24 00:24:50 (-11.3)#1,534
25. 56510 00:13:33 00:21:44 (-8.19)#25 00:24:50 (-11.3)#1,542
26. 56226 00:13:42 00:21:44 (-8.03)#26 00:24:50 (-11.1)#1,614
27. 56235 00:13:43 00:21:44 (-8.02)#27 00:24:50 (-11.1)#1,623
28. 55987 00:13:49 00:21:44 (-7.93)#28 00:24:50 (-11.0)#1,669
29. 56073 00:13:49 00:21:44 (-7.92)#29 00:24:50 (-11.0)#1,673
30. 56296 00:13:57 00:21:44 (-7.79)#30 00:24:50 (-10.9)#1,735
31. 55902 00:13:58 00:21:44 (-7.78)#31 00:24:50 (-10.9)#1,738
32. 56716 00:13:58 00:21:44 (-7.77)#32 00:24:50 (-10.9)#1,741
33. 56563 00:13:58 00:21:44 (-7.77)#33 00:24:50 (-10.9)#1,742
34. 56003 00:14:02 00:21:44 (-7.70)#34 00:24:50 (-10.8)#1,780
35. 56001 00:14:03 00:21:44 (-7.70)#35 00:24:50 (-10.8)#1,782
36. 55805 00:14:05 00:21:44 (-7.65)#36 00:24:50 (-10.7)#1,805
37. 55792 00:14:08 00:21:44 (-7.60)#37 00:24:50 (-10.7)#1,830
38. 56081 00:14:09 00:21:44 (-7.60)#38 00:24:50 (-10.7)#1,832
39. 56128 00:14:10 00:21:44 (-7.58)#39 00:24:50 (-10.7)#1,847
40. 56241 00:14:11 00:21:44 (-7.56)#40 00:24:50 (-10.7)#1,861
41. 56187 00:14:12 00:21:44 (-7.54)#41 00:24:50 (-10.6)#1,871
42. 56270 00:14:14 00:21:44 (-7.51)#42 00:24:50 (-10.6)#1,886
43. 56219 00:14:16 00:21:44 (-7.47)#43 00:24:50 (-10.6)#1,897
44. 56520 00:14:16 00:21:44 (-7.47)#44 00:24:50 (-10.6)#1,899
45. 56215 00:14:24 00:21:44 (-7.34)#45 00:24:50 (-10.4)#1,958
46. 55753 00:14:24 00:21:44 (-7.34)#46 00:24:50 (-10.4)#1,961
47. 56159 00:14:30 00:21:44 (-7.24)#47 00:24:50 (-10.3)#2,019
48. 56387 00:14:31 00:21:44 (-7.23)#48 00:24:50 (-10.3)#2,032
49. 55811 00:14:34 00:21:44 (-7.18)#49 00:24:50 (-10.3)#2,064
50. 56501 00:14:36 00:21:44 (-7.14)#50 00:24:50 (-10.2)#2,085
51. 55806 00:14:38 00:21:44 (-7.11)#51 00:24:50 (-10.2)#2,105
52. 56482 00:14:44 00:21:44 (-7.00)#52 00:24:50 (-10.1)#2,177
53. 55802 00:14:50 00:21:44 (-6.90)#53 00:24:50 (-9.99)#2,242
54. 56085 00:14:59 00:21:44 (-6.76)#54 00:24:50 (-9.85)#2,314
55. 56232 00:15:02 00:21:44 (-6.71)#55 00:24:50 (-9.80)#2,350
56. 56281 00:15:08 00:21:44 (-6.61)#56 00:24:50 (-9.70)#2,410
57. 56277 00:15:10 00:21:44 (-6.58)#57 00:24:50 (-9.67)#2,423
58. 56007 00:15:10 00:21:44 (-6.57)#58 00:24:50 (-9.66)#2,429
59. 56082 00:15:13 00:21:44 (-6.52)#59 00:24:50 (-9.62)#2,450
60. 56239 00:15:15 00:21:44 (-6.49)#60 00:24:50 (-9.58)#2,482
61. 55912 00:15:18 00:21:44 (-6.44)#61 00:24:50 (-9.54)#2,508
62. 55904 00:15:20 00:21:44 (-6.40)#62 00:24:50 (-9.50)#2,529
63. 56164 00:15:20 00:21:44 (-6.40)#63 00:24:50 (-9.50)#2,530
64. 56240 00:15:20 00:21:44 (-6.40)#64 00:24:50 (-9.49)#2,532
65. 55812 00:15:24 00:21:44 (-6.34)#65 00:24:50 (-9.43)#2,577
66. 56721 00:15:26 00:21:44 (-6.30)#66 00:24:50 (-9.40)#2,612
67. 56244 00:15:35 00:21:44 (-6.16)#67 00:24:50 (-9.26)#2,699
68. 55721 00:15:39 00:21:44 (-6.09)#68 00:24:50 (-9.19)#2,747
69. 55350 00:15:40 00:21:44 (-6.07)#69 00:24:50 (-9.16)#2,761
70. 56755 00:15:42 00:21:44 (-6.03)#70 00:24:50 (-9.13)#2,792
71. 56303 00:15:44 00:21:44 (-6.00)#71 00:24:50 (-9.09)#2,822
72. 56591 00:15:45 00:21:44 (-6.00)#72 00:24:50 (-9.09)#2,824
73. 56046 00:15:49 00:21:44 (-5.91)#73 00:24:50 (-9.01)#2,892
74. 55060 00:15:57 00:21:44 (-5.79)#74 00:24:50 (-8.88)#2,985
75. 55746 00:15:59 00:21:44 (-5.75)#75 00:24:50 (-8.85)#3,018
76. 56762 00:16:03 00:21:44 (-5.69)#76 00:24:50 (-8.79)#3,069
77. 56533 00:16:04 00:21:44 (-5.67)#77 00:24:50 (-8.77)#3,086
78. 55768 00:16:04 00:21:44 (-5.67)#78 00:24:50 (-8.76)#3,090
79. 56626 00:16:08 00:21:44 (-5.60)#79 00:24:50 (-8.70)#3,141
80. 55786 00:16:08 00:21:44 (-5.60)#80 00:24:50 (-8.70)#3,143
81. 56379 00:16:13 00:21:44 (-5.52)#81 00:24:50 (-8.61)#3,206
82. 56229 00:16:17 00:21:44 (-5.46)#82 00:24:50 (-8.55)#3,256
83. 56754 00:16:19 00:21:44 (-5.42)#83 00:24:50 (-8.51)#3,289
84. 55947 00:16:26 00:21:44 (-5.30)#84 00:24:50 (-8.39)#3,405
85. 55402 00:16:27 00:21:44 (-5.30)#85 00:24:50 (-8.39)#3,410
86. 56221 00:16:27 00:21:44 (-5.29)#86 00:24:50 (-8.38)#3,420
87. 56119 00:16:29 00:21:44 (-5.26)#87 00:24:50 (-8.36)#3,450
88. 56136 00:16:33 00:21:44 (-5.18)#88 00:24:50 (-8.28)#3,532
89. 56751 00:16:35 00:21:44 (-5.16)#89 00:24:50 (-8.25)#3,552
90. 56256 00:16:35 00:21:44 (-5.16)#90 00:24:50 (-8.25)#3,554
91. 55719 00:16:35 00:21:44 (-5.15)#91 00:24:50 (-8.25)#3,555
92. 56156 00:16:35 00:21:44 (-5.15)#92 00:24:50 (-8.25)#3,557
93. 55950 00:16:39 00:21:44 (-5.08)#93 00:24:50 (-8.18)#3,633
94. 55744 00:16:40 00:21:44 (-5.08)#94 00:24:50 (-8.17)#3,636
95. 55057 00:16:40 00:21:44 (-5.08)#95 00:24:50 (-8.17)#3,639
96. 55355 00:16:40 00:21:44 (-5.07)#96 00:24:50 (-8.16)#3,643
97. 55713 00:16:41 00:21:44 (-5.06)#97 00:24:50 (-8.16)#3,650
98. 56335 00:16:42 00:21:44 (-5.05)#98 00:24:50 (-8.14)#3,660
99. 55720 00:16:42 00:21:44 (-5.04)#99 00:24:50 (-8.13)#3,676
100. 56020 00:16:45 00:21:44 (-5.00)#100 00:24:50 (-8.09)#3,708

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Minnesota?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Minnesota are:
#1
00:07:30
#2
00:10:12
#3
00:10:53
#4
00:11:04
#5
00:11:13
#6
00:11:15
#7
00:11:20
#8
00:11:45
#9
00:11:45
#10
00:12:01
What zip code has the Shortest Median Commute Time to Work for Females in Minnesota?
55796 has the Shortest Median Commute Time to Work for Females in Minnesota with 00:07:30.
What is the Median Commute Time to Work for Females in the State of Minnesota?
Median Commute Time to Work for Females in Minnesota is 00:21:44.
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.