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

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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
North Dakota
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1. 58707 00:05:22 00:16:11 (-10.8)#1 00:24:50 (-19.5)#125
2. 58705 00:05:36 00:16:11 (-10.6)#2 00:24:50 (-19.2)#140
3. 58405 00:05:39 00:16:11 (-10.5)#3 00:24:50 (-19.2)#142
4. 58202 00:07:03 00:16:11 (-9.13)#4 00:24:50 (-17.8)#224
5. 58076 00:07:21 00:16:11 (-8.82)#5 00:24:50 (-17.5)#238
6. 58778 00:07:30 00:16:11 (-8.68)#6 00:24:50 (-17.3)#249
7. 58324 00:07:55 00:16:11 (-8.26)#7 00:24:50 (-16.9)#277
8. 58765 00:08:05 00:16:11 (-8.10)#8 00:24:50 (-16.8)#297
9. 58271 00:08:24 00:16:11 (-7.77)#9 00:24:50 (-16.4)#327
10. 58646 00:09:05 00:16:11 (-7.09)#10 00:24:50 (-15.7)#395
11. 58421 00:09:18 00:16:11 (-6.88)#11 00:24:50 (-15.5)#425
12. 58367 00:09:21 00:16:11 (-6.83)#12 00:24:50 (-15.5)#432
13. 58752 00:09:23 00:16:11 (-6.80)#13 00:24:50 (-15.5)#436
14. 58441 00:09:23 00:16:11 (-6.79)#14 00:24:50 (-15.5)#438
15. 58495 00:09:48 00:16:11 (-6.37)#15 00:24:50 (-15.0)#491
16. 58335 00:09:52 00:16:11 (-6.32)#16 00:24:50 (-15.0)#500
17. 58852 00:09:52 00:16:11 (-6.30)#17 00:24:50 (-15.0)#502
18. 58438 00:10:07 00:16:11 (-6.06)#18 00:24:50 (-14.7)#555
19. 58523 00:10:27 00:16:11 (-5.72)#19 00:24:50 (-14.4)#604
20. 58027 00:10:30 00:16:11 (-5.68)#20 00:24:50 (-14.3)#613
21. 58040 00:10:31 00:16:11 (-5.66)#21 00:24:50 (-14.3)#621
22. 58341 00:10:36 00:16:11 (-5.57)#22 00:24:50 (-14.2)#637
23. 58623 00:10:37 00:16:11 (-5.56)#23 00:24:50 (-14.2)#640
24. 58746 00:11:10 00:16:11 (-5.01)#24 00:24:50 (-13.7)#761
25. 58711 00:11:15 00:16:11 (-4.93)#25 00:24:50 (-13.6)#776
26. 58301 00:11:23 00:16:11 (-4.79)#26 00:24:50 (-13.4)#816
27. 58105 00:11:24 00:16:11 (-4.77)#27 00:24:50 (-13.4)#822
28. 58639 00:11:51 00:16:11 (-4.33)#28 00:24:50 (-13.0)#967
29. 58601 00:11:51 00:16:11 (-4.32)#29 00:24:50 (-13.0)#971
30. 58769 00:11:55 00:16:11 (-4.26)#30 00:24:50 (-12.9)#996
31. 58562 00:11:59 00:16:11 (-4.20)#31 00:24:50 (-12.9)#1,015
32. 58356 00:12:05 00:16:11 (-4.10)#32 00:24:50 (-12.8)#1,048
33. 58368 00:12:07 00:16:11 (-4.06)#33 00:24:50 (-12.7)#1,057
34. 58531 00:12:08 00:16:11 (-4.04)#34 00:24:50 (-12.7)#1,066
35. 58273 00:12:11 00:16:11 (-4.00)#35 00:24:50 (-12.7)#1,076
36. 58565 00:12:11 00:16:11 (-3.99)#36 00:24:50 (-12.6)#1,078
37. 58220 00:12:12 00:16:11 (-3.98)#37 00:24:50 (-12.6)#1,082
38. 58482 00:12:15 00:16:11 (-3.92)#38 00:24:50 (-12.6)#1,092
39. 58257 00:12:19 00:16:11 (-3.85)#39 00:24:50 (-12.5)#1,112
40. 58788 00:12:30 00:16:11 (-3.68)#40 00:24:50 (-12.3)#1,152
41. 58433 00:12:37 00:16:11 (-3.56)#41 00:24:50 (-12.2)#1,185
42. 58436 00:12:38 00:16:11 (-3.54)#42 00:24:50 (-12.2)#1,195
43. 58640 00:12:39 00:16:11 (-3.52)#43 00:24:50 (-12.2)#1,202
44. 58241 00:12:39 00:16:11 (-3.52)#44 00:24:50 (-12.2)#1,203
45. 58072 00:12:40 00:16:11 (-3.50)#45 00:24:50 (-12.2)#1,209
46. 58413 00:12:42 00:16:11 (-3.47)#46 00:24:50 (-12.1)#1,221
47. 58425 00:12:45 00:16:11 (-3.43)#47 00:24:50 (-12.1)#1,241
48. 58501 00:13:00 00:16:11 (-3.18)#48 00:24:50 (-11.8)#1,343
49. 58370 00:13:03 00:16:11 (-3.13)#49 00:24:50 (-11.8)#1,360
50. 58237 00:13:10 00:16:11 (-3.01)#50 00:24:50 (-11.7)#1,406
51. 58801 00:13:14 00:16:11 (-2.93)#51 00:24:50 (-11.6)#1,433
52. 58075 00:13:16 00:16:11 (-2.90)#52 00:24:50 (-11.6)#1,446
53. 58230 00:13:22 00:16:11 (-2.80)#53 00:24:50 (-11.5)#1,485
54. 58249 00:13:23 00:16:11 (-2.78)#54 00:24:50 (-11.4)#1,492
55. 58649 00:13:24 00:16:11 (-2.78)#55 00:24:50 (-11.4)#1,494
56. 58561 00:13:37 00:16:11 (-2.56)#56 00:24:50 (-11.2)#1,565
57. 58204 00:13:38 00:16:11 (-2.53)#57 00:24:50 (-11.2)#1,581
58. 58430 00:13:45 00:16:11 (-2.43)#58 00:24:50 (-11.1)#1,634
59. 58701 00:13:46 00:16:11 (-2.40)#59 00:24:50 (-11.1)#1,650
60. 58401 00:14:00 00:16:11 (-2.17)#60 00:24:50 (-10.8)#1,766
61. 58316 00:14:05 00:16:11 (-2.09)#61 00:24:50 (-10.8)#1,801
62. 58311 00:14:09 00:16:11 (-2.02)#62 00:24:50 (-10.7)#1,844
63. 58102 00:14:17 00:16:11 (-1.90)#63 00:24:50 (-10.6)#1,906
64. 58703 00:14:19 00:16:11 (-1.85)#64 00:24:50 (-10.5)#1,921
65. 58203 00:14:21 00:16:11 (-1.83)#65 00:24:50 (-10.5)#1,928
66. 58344 00:14:23 00:16:11 (-1.80)#66 00:24:50 (-10.5)#1,953
67. 58763 00:14:27 00:16:11 (-1.73)#67 00:24:50 (-10.4)#1,988
68. 58538 00:14:29 00:16:11 (-1.69)#68 00:24:50 (-10.3)#2,014
69. 58784 00:14:31 00:16:11 (-1.65)#69 00:24:50 (-10.3)#2,039
70. 58201 00:14:32 00:16:11 (-1.64)#70 00:24:50 (-10.3)#2,043
71. 58835 00:14:32 00:16:11 (-1.64)#71 00:24:50 (-10.3)#2,045
72. 58730 00:14:37 00:16:11 (-1.55)#72 00:24:50 (-10.2)#2,103
73. 58222 00:14:43 00:16:11 (-1.46)#73 00:24:50 (-10.1)#2,165
74. 58775 00:14:54 00:16:11 (-1.28)#74 00:24:50 (-9.94)#2,276
75. 58577 00:14:54 00:16:11 (-1.27)#75 00:24:50 (-9.93)#2,281
76. 58054 00:15:06 00:16:11 (-1.08)#76 00:24:50 (-9.74)#2,386
77. 58573 00:15:10 00:16:11 (-1.01)#77 00:24:50 (-9.67)#2,425
78. 58626 00:15:22 00:16:11 (-0.810)#78 00:24:50 (-9.47)#2,554
79. 58704 00:15:28 00:16:11 (-0.703)#79 00:24:50 (-9.36)#2,643
80. 58503 00:15:29 00:16:11 (-0.689)#80 00:24:50 (-9.35)#2,651
81. 58736 00:15:40 00:16:11 (-0.508)#81 00:24:50 (-9.17)#2,756
82. 58318 00:15:40 00:16:11 (-0.503)#82 00:24:50 (-9.16)#2,759
83. 58415 00:15:41 00:16:11 (-0.494)#83 00:24:50 (-9.15)#2,767
84. 58274 00:15:42 00:16:11 (-0.477)#84 00:24:50 (-9.13)#2,783
85. 58103 00:15:48 00:16:11 (-0.380)#85 00:24:50 (-9.04)#2,867
86. 58783 00:15:55 00:16:11 (-0.258)#86 00:24:50 (-8.92)#2,955
87. 58474 00:15:57 00:16:11 (-0.224)#87 00:24:50 (-8.88)#2,980
88. 58351 00:16:04 00:16:11 (-0.116)#88 00:24:50 (-8.77)#3,079
89. 58504 00:16:06 00:16:11 (-0.076)#89 00:24:50 (-8.73)#3,111
90. 58645 00:16:08 00:16:11 (-0.038)#90 00:24:50 (-8.70)#3,142
91. 58265 00:16:15 00:16:11 (+0.066)#91 00:24:50 (-8.59)#3,222
92. 58443 00:16:15 00:16:11 (+0.066)#92 00:24:50 (-8.59)#3,228
93. 58267 00:16:17 00:16:11 (+0.104)#93 00:24:50 (-8.55)#3,254
94. 58270 00:16:20 00:16:11 (+0.163)#94 00:24:50 (-8.50)#3,308
95. 58045 00:16:22 00:16:11 (+0.184)#95 00:24:50 (-8.47)#3,324
96. 58634 00:16:25 00:16:11 (+0.245)#96 00:24:50 (-8.41)#3,379
97. 58313 00:16:25 00:16:11 (+0.245)#97 00:24:50 (-8.41)#3,381
98. 58854 00:16:26 00:16:11 (+0.264)#98 00:24:50 (-8.39)#3,402
99. 58463 00:16:29 00:16:11 (+0.312)#99 00:24:50 (-8.35)#3,458
100. 58104 00:16:31 00:16:11 (+0.338)#100 00:24:50 (-8.32)#3,490

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in North Dakota?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in North Dakota are:
#1
00:05:22
#2
00:05:36
#3
00:05:39
#4
00:07:03
#5
00:07:21
#6
00:07:30
#7
00:07:55
#8
00:08:05
#9
00:08:24
#10
00:09:05
What zip code has the Shortest Median Commute Time to Work for Females in North Dakota?
58707 has the Shortest Median Commute Time to Work for Females in North Dakota with 00:05:22.
What is the Median Commute Time to Work for Females in the State of North Dakota?
Median Commute Time to Work for Females in North Dakota is 00:16:11.
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.