Cities 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
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Comparison Subject

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

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

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

City Commute Time vs State vs National
1.Lignite00:02:2500:16:11(-13.8)#100:24:50(-22.4)#11
2.Pekin00:05:0000:16:11(-11.2)#200:24:50(-19.8)#128
3.Crosby00:05:0100:16:11(-11.2)#300:24:50(-19.8)#131
4.Pettibone00:06:2500:16:11(-9.76)#400:24:50(-18.4)#230
5.Edgeley00:06:4400:16:11(-9.45)#500:24:50(-18.1)#259
6.Four Bears Village00:06:5600:16:11(-9.24)#600:24:50(-17.9)#279
7.Mott00:07:0100:16:11(-9.16)#700:24:50(-17.8)#282
8.Hague00:07:0800:16:11(-9.04)#800:24:50(-17.7)#299
9.Tioga00:07:2200:16:11(-8.80)#900:24:50(-17.5)#329
10.Wishek00:07:2300:16:11(-8.79)#1000:24:50(-17.4)#332
11.Ashley00:07:5200:16:11(-8.30)#1100:24:50(-17.0)#382
12.Hope00:08:0100:16:11(-8.16)#1200:24:50(-16.8)#398
13.Cando00:08:0400:16:11(-8.11)#1300:24:50(-16.8)#407
14.Fort Totten00:08:1000:16:11(-8.00)#1400:24:50(-16.7)#436
15.Pembina00:08:1200:16:11(-7.97)#1500:24:50(-16.6)#442
16.Belcourt00:08:3600:16:11(-7.58)#1600:24:50(-16.2)#495
17.Enderlin00:08:4100:16:11(-7.49)#1700:24:50(-16.1)#512
18.New Leipzig00:08:5400:16:11(-7.28)#1800:24:50(-15.9)#534
19.New Rockford00:08:5800:16:11(-7.22)#1900:24:50(-15.9)#544
20.Langdon00:09:1200:16:11(-6.98)#2000:24:50(-15.6)#580
21.Rolla00:09:1400:16:11(-6.94)#2100:24:50(-15.6)#588
22.Lakota00:09:1400:16:11(-6.94)#2200:24:50(-15.6)#589
23.Fort Yates00:09:1500:16:11(-6.93)#2300:24:50(-15.6)#593
24.Towner00:09:1800:16:11(-6.88)#2400:24:50(-15.5)#609
25.Devils Lake00:09:2100:16:11(-6.82)#2500:24:50(-15.5)#626
26.Columbus00:09:3200:16:11(-6.64)#2600:24:50(-15.3)#656
27.Medora00:09:3600:16:11(-6.57)#2700:24:50(-15.2)#677
28.Minnewaukan00:09:4300:16:11(-6.46)#2800:24:50(-15.1)#704
29.Harvey00:09:5000:16:11(-6.35)#2900:24:50(-15.0)#729
30.Carrington00:09:5500:16:11(-6.26)#3000:24:50(-14.9)#751
31.Fessenden00:09:5500:16:11(-6.26)#3100:24:50(-14.9)#753
32.Lehr00:10:0000:16:11(-6.18)#3200:24:50(-14.8)#785
33.Beulah00:10:0900:16:11(-6.03)#3300:24:50(-14.7)#821
34.Ellendale00:10:1700:16:11(-5.90)#3400:24:50(-14.6)#845
35.Mayville00:10:2000:16:11(-5.85)#3500:24:50(-14.5)#863
36.Bowman00:10:2600:16:11(-5.75)#3600:24:50(-14.4)#894
37.Coleharbor00:10:4200:16:11(-5.47)#3700:24:50(-14.1)#984
38.Gwinner00:10:4300:16:11(-5.46)#3800:24:50(-14.1)#987
39.Wahpeton00:10:4300:16:11(-5.45)#3900:24:50(-14.1)#989
40.Dickinson00:10:4800:16:11(-5.38)#4000:24:50(-14.0)#1,006
41.Portland00:10:4900:16:11(-5.36)#4100:24:50(-14.0)#1,016
42.Cooperstown00:10:5100:16:11(-5.32)#4200:24:50(-14.0)#1,036
43.Killdeer00:10:5300:16:11(-5.29)#4300:24:50(-13.9)#1,052
44.Finley00:11:0000:16:11(-5.18)#4400:24:50(-13.8)#1,088
45.Northwood00:11:0800:16:11(-5.04)#4500:24:50(-13.7)#1,141
46.Rugby00:11:0900:16:11(-5.02)#4600:24:50(-13.7)#1,149
47.Valley City00:11:1100:16:11(-4.99)#4700:24:50(-13.6)#1,162
48.Hettinger00:11:1300:16:11(-4.95)#4800:24:50(-13.6)#1,170
49.Cavalier00:11:2300:16:11(-4.80)#4900:24:50(-13.5)#1,246
50.Pisek00:11:3200:16:11(-4.65)#5000:24:50(-13.3)#1,314
51.Noonan00:11:3300:16:11(-4.62)#5100:24:50(-13.3)#1,323
52.Steele00:11:3700:16:11(-4.55)#5200:24:50(-13.2)#1,344
53.Mcclusky00:11:3900:16:11(-4.52)#5300:24:50(-13.2)#1,360
54.Napoleon00:11:4900:16:11(-4.36)#5400:24:50(-13.0)#1,413
55.Osnabrock00:11:5300:16:11(-4.29)#5500:24:50(-12.9)#1,444
56.Palermo00:11:5500:16:11(-4.26)#5600:24:50(-12.9)#1,460
57.Riverdale00:12:1100:16:11(-3.99)#5700:24:50(-12.6)#1,572
58.Bottineau00:12:1900:16:11(-3.86)#5800:24:50(-12.5)#1,622
59.Streeter00:12:1900:16:11(-3.85)#5900:24:50(-12.5)#1,626
60.Williston00:12:2600:16:11(-3.73)#6000:24:50(-12.4)#1,678
61.Binford00:12:4400:16:11(-3.44)#6100:24:50(-12.1)#1,811
62.Kenmare00:12:4700:16:11(-3.39)#6200:24:50(-12.0)#1,836
63.Havana00:12:4800:16:11(-3.37)#6300:24:50(-12.0)#1,849
64.Grafton00:12:5000:16:11(-3.34)#6400:24:50(-12.0)#1,866
65.Strasburg00:12:5300:16:11(-3.29)#6500:24:50(-12.0)#1,883
66.New Town00:12:5900:16:11(-3.19)#6600:24:50(-11.8)#1,937
67.Turtle Lake00:13:0500:16:11(-3.09)#6700:24:50(-11.7)#1,983
68.Jamestown00:13:0600:16:11(-3.08)#6800:24:50(-11.7)#1,994
69.Minot00:13:1400:16:11(-2.94)#6900:24:50(-11.6)#2,067
70.Garrison00:13:1900:16:11(-2.86)#7000:24:50(-11.5)#2,110
71.Sharon00:13:1900:16:11(-2.85)#7100:24:50(-11.5)#2,120
72.Arnegard00:13:2200:16:11(-2.81)#7200:24:50(-11.5)#2,150
73.Green Acres00:13:2600:16:11(-2.74)#7300:24:50(-11.4)#2,201
74.East Dunseith00:13:3500:16:11(-2.60)#7400:24:50(-11.3)#2,302
75.Glenfield00:13:4900:16:11(-2.36)#7500:24:50(-11.0)#2,453
76.Grand Forks00:13:5100:16:11(-2.32)#7600:24:50(-11.0)#2,474
77.Warwick00:13:5600:16:11(-2.24)#7700:24:50(-10.9)#2,518
78.Bismarck00:14:0100:16:11(-2.17)#7800:24:50(-10.8)#2,571
79.Mandaree00:14:0500:16:11(-2.10)#7900:24:50(-10.8)#2,625
80.Grand Forks Afb00:14:0500:16:11(-2.10)#8000:24:50(-10.8)#2,627
81.Hazelton00:14:0500:16:11(-2.09)#8100:24:50(-10.8)#2,629
82.Shell Valley00:14:0900:16:11(-2.03)#8200:24:50(-10.7)#2,661
83.Hillsboro00:14:1100:16:11(-1.99)#8300:24:50(-10.7)#2,690
84.Verona00:14:2600:16:11(-1.74)#8400:24:50(-10.4)#2,870
85.Cogswell00:14:2700:16:11(-1.72)#8500:24:50(-10.4)#2,887
86.Esmond00:14:2800:16:11(-1.71)#8600:24:50(-10.4)#2,897
87.Washburn00:14:2800:16:11(-1.70)#8700:24:50(-10.4)#2,903
88.Minot Afb00:14:3200:16:11(-1.64)#8800:24:50(-10.3)#2,956
89.Lisbon00:14:5200:16:11(-1.30)#8900:24:50(-9.96)#3,241
90.Lankin00:15:0000:16:11(-1.18)#9000:24:50(-9.84)#3,365
91.Dwight00:15:0000:16:11(-1.18)#9100:24:50(-9.84)#3,382
92.Prairie Rose00:15:0000:16:11(-1.18)#9200:24:50(-9.84)#3,388
93.Richardton00:15:0800:16:11(-1.03)#9300:24:50(-9.69)#3,484
94.Reile S Acres00:15:1200:16:11(-0.974)#9400:24:50(-9.63)#3,534
95.Martin00:15:1400:16:11(-0.946)#9500:24:50(-9.60)#3,561
96.Medina00:15:1500:16:11(-0.930)#9600:24:50(-9.59)#3,578
97.Wing00:15:1800:16:11(-0.871)#9700:24:50(-9.53)#3,625
98.Fairmount00:15:3000:16:11(-0.684)#9800:24:50(-9.34)#3,783
99.Belfield00:15:3200:16:11(-0.647)#9900:24:50(-9.30)#3,812
100.Oakes00:15:3300:16:11(-0.633)#10000:24:50(-9.29)#3,828

Common Questions

What are the Top 10 Cities with the Shortest Median Commute Time to Work for Females in North Dakota?
Top 10 Cities with the Shortest Median Commute Time to Work for Females in North Dakota are:
#1
00:02:25
#2
00:05:00
#3
00:05:01
#4
00:06:25
#5
00:06:44
#6
00:06:56
#7
00:07:01
#8
00:07:08
#9
00:07:22
#10
00:07:23
What city has the Shortest Median Commute Time to Work for Females in North Dakota?
Lignite has the Shortest Median Commute Time to Work for Females in North Dakota with 00:02:25.
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.