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

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Shortest Commute | Male
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 Males in North Dakota

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

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

City Commute Time vs State vs National
1.Milton00:02:4000:19:17(-16.6)#100:28:13(-25.5)#11
2.Medora00:04:2300:19:17(-14.9)#200:28:13(-23.8)#53
3.Selfridge00:05:0000:19:17(-14.3)#300:28:13(-23.2)#77
4.Zeeland00:05:0800:19:17(-14.1)#400:28:13(-23.1)#89
5.Bisbee00:06:0900:19:17(-13.1)#500:28:13(-22.1)#140
6.Newburg00:06:5600:19:17(-12.3)#600:28:13(-21.3)#187
7.Wishek00:07:2600:19:17(-11.8)#700:28:13(-20.8)#226
8.Wildrose00:07:3000:19:17(-11.8)#800:28:13(-20.7)#230
9.Gwinner00:07:3900:19:17(-11.6)#900:28:13(-20.6)#251
10.New Leipzig00:07:4200:19:17(-11.6)#1000:28:13(-20.5)#256
11.Dazey00:08:0300:19:17(-11.2)#1100:28:13(-20.2)#281
12.Woodworth00:08:0700:19:17(-11.2)#1200:28:13(-20.1)#285
13.Grand Forks Afb00:08:0900:19:17(-11.1)#1300:28:13(-20.1)#289
14.Minnewaukan00:08:1500:19:17(-11.0)#1400:28:13(-20.0)#298
15.Green Acres00:08:2700:19:17(-10.8)#1500:28:13(-19.8)#319
16.Fort Totten00:08:3000:19:17(-10.8)#1600:28:13(-19.7)#326
17.Strasburg00:09:1800:19:17(-9.98)#1700:28:13(-18.9)#408
18.Mandaree00:09:2000:19:17(-9.94)#1800:28:13(-18.9)#411
19.Warwick00:09:2500:19:17(-9.87)#1900:28:13(-18.8)#428
20.Fullerton00:09:3300:19:17(-9.72)#2000:28:13(-18.7)#454
21.Ashley00:09:4400:19:17(-9.55)#2100:28:13(-18.5)#475
22.Epping00:09:5200:19:17(-9.41)#2200:28:13(-18.3)#492
23.Streeter00:10:0000:19:17(-9.29)#2300:28:13(-18.2)#510
24.Mchenry00:10:0000:19:17(-9.29)#2400:28:13(-18.2)#514
25.Napoleon00:10:0100:19:17(-9.27)#2500:28:13(-18.2)#519
26.Esmond00:10:1500:19:17(-9.04)#2600:28:13(-18.0)#550
27.Four Bears Village00:10:1600:19:17(-9.02)#2700:28:13(-18.0)#554
28.Maddock00:10:2600:19:17(-8.85)#2800:28:13(-17.8)#579
29.Hague00:10:2700:19:17(-8.83)#2900:28:13(-17.8)#580
30.Pembina00:10:3100:19:17(-8.75)#3000:28:13(-17.7)#591
31.Dawson00:10:3400:19:17(-8.71)#3100:28:13(-17.6)#598
32.Sykeston00:10:3900:19:17(-8.64)#3200:28:13(-17.6)#614
33.Trenton00:10:3900:19:17(-8.62)#3300:28:13(-17.6)#615
34.Minot Afb00:10:4300:19:17(-8.56)#3400:28:13(-17.5)#628
35.Drake00:10:5100:19:17(-8.43)#3500:28:13(-17.4)#645
36.Kulm00:10:5400:19:17(-8.38)#3600:28:13(-17.3)#652
37.Lehr00:10:5600:19:17(-8.35)#3700:28:13(-17.3)#657
38.Nekoma00:11:3900:19:17(-7.62)#3800:28:13(-16.6)#787
39.Finley00:11:4300:19:17(-7.56)#3900:28:13(-16.5)#795
40.Havana00:12:0000:19:17(-7.29)#4000:28:13(-16.2)#857
41.Hampden00:12:1600:19:17(-7.02)#4100:28:13(-16.0)#940
42.Hamilton00:12:1800:19:17(-6.98)#4200:28:13(-15.9)#946
43.Briarwood00:12:2100:19:17(-6.94)#4300:28:13(-15.9)#954
44.Portland00:12:2800:19:17(-6.81)#4400:28:13(-15.7)#980
45.Hope00:12:3800:19:17(-6.65)#4500:28:13(-15.6)#1,025
46.Crosby00:12:3800:19:17(-6.65)#4600:28:13(-15.6)#1,026
47.Langdon00:12:4200:19:17(-6.58)#4700:28:13(-15.5)#1,046
48.Galesburg00:12:5400:19:17(-6.37)#4800:28:13(-15.3)#1,109
49.New Rockford00:13:0300:19:17(-6.23)#4900:28:13(-15.2)#1,146
50.Hoople00:13:0300:19:17(-6.23)#5000:28:13(-15.2)#1,147
51.Jamestown00:13:0700:19:17(-6.17)#5100:28:13(-15.1)#1,168
52.Golva00:13:1900:19:17(-5.95)#5200:28:13(-14.9)#1,230
53.Wimbledon00:13:2800:19:17(-5.81)#5300:28:13(-14.7)#1,271
54.Belcourt00:13:3500:19:17(-5.70)#5400:28:13(-14.6)#1,297
55.Elgin00:13:4500:19:17(-5.54)#5500:28:13(-14.5)#1,353
56.Munich00:13:4500:19:17(-5.54)#5600:28:13(-14.5)#1,356
57.Mott00:13:5400:19:17(-5.37)#5700:28:13(-14.3)#1,399
58.Drayton00:13:5700:19:17(-5.32)#5800:28:13(-14.3)#1,426
59.Edmore00:14:0000:19:17(-5.29)#5900:28:13(-14.2)#1,437
60.Carrington00:14:0700:19:17(-5.16)#6000:28:13(-14.1)#1,482
61.Bowman00:14:0900:19:17(-5.14)#6100:28:13(-14.1)#1,495
62.Cando00:14:1100:19:17(-5.10)#6200:28:13(-14.0)#1,514
63.Rugby00:14:1200:19:17(-5.07)#6300:28:13(-14.0)#1,525
64.Northwood00:14:1400:19:17(-5.05)#6400:28:13(-14.0)#1,530
65.Clifford00:14:2500:19:17(-4.87)#6500:28:13(-13.8)#1,599
66.Leeds00:14:2500:19:17(-4.86)#6600:28:13(-13.8)#1,600
67.Rogers00:14:2800:19:17(-4.81)#6700:28:13(-13.8)#1,626
68.Fessenden00:14:3500:19:17(-4.70)#6800:28:13(-13.6)#1,666
69.Apple Valley00:14:3700:19:17(-4.66)#6900:28:13(-13.6)#1,678
70.Grace City00:14:4300:19:17(-4.57)#7000:28:13(-13.5)#1,710
71.Rolla00:14:4600:19:17(-4.51)#7100:28:13(-13.4)#1,729
72.Cooperstown00:14:5000:19:17(-4.45)#7200:28:13(-13.4)#1,755
73.White Shield00:14:5000:19:17(-4.45)#7300:28:13(-13.4)#1,757
74.Edgeley00:14:5100:19:17(-4.43)#7400:28:13(-13.4)#1,766
75.Grand Forks00:14:5400:19:17(-4.38)#7500:28:13(-13.3)#1,786
76.Gardena00:15:0000:19:17(-4.29)#7600:28:13(-13.2)#1,851
77.Brocket00:15:0000:19:17(-4.29)#7700:28:13(-13.2)#1,852
78.Kensal00:15:0700:19:17(-4.16)#7800:28:13(-13.1)#1,896
79.Bottineau00:15:1000:19:17(-4.11)#7900:28:13(-13.0)#1,910
80.Makoti00:15:1500:19:17(-4.03)#8000:28:13(-13.0)#1,957
81.Grafton00:15:1700:19:17(-4.00)#8100:28:13(-12.9)#1,973
82.Sentinel Butte00:15:2700:19:17(-3.83)#8200:28:13(-12.8)#2,059
83.Mcville00:15:3600:19:17(-3.68)#8300:28:13(-12.6)#2,147
84.Minto00:15:3600:19:17(-3.67)#8400:28:13(-12.6)#2,150
85.New Town00:15:3900:19:17(-3.64)#8500:28:13(-12.6)#2,172
86.Rocklake00:15:4100:19:17(-3.59)#8600:28:13(-12.5)#2,192
87.Bathgate00:15:4200:19:17(-3.57)#8700:28:13(-12.5)#2,203
88.Harvey00:15:4700:19:17(-3.49)#8800:28:13(-12.4)#2,248
89.Starkweather00:15:4900:19:17(-3.45)#8900:28:13(-12.4)#2,274
90.Hazen00:15:5800:19:17(-3.32)#9000:28:13(-12.3)#2,343
91.Fargo00:15:5900:19:17(-3.30)#9100:28:13(-12.2)#2,352
92.Reile S Acres00:16:0200:19:17(-3.24)#9200:28:13(-12.2)#2,389
93.Forest River00:16:0400:19:17(-3.22)#9300:28:13(-12.2)#2,405
94.Mantador00:16:0600:19:17(-3.18)#9400:28:13(-12.1)#2,433
95.Fredonia00:16:1500:19:17(-3.04)#9500:28:13(-12.0)#2,517
96.Douglas00:16:1800:19:17(-2.97)#9600:28:13(-11.9)#2,558
97.Cavalier00:16:2100:19:17(-2.93)#9700:28:13(-11.9)#2,581
98.Enderlin00:16:2800:19:17(-2.81)#9800:28:13(-11.7)#2,662
99.Edinburg00:16:3700:19:17(-2.66)#9900:28:13(-11.6)#2,766
100.Solen00:16:3900:19:17(-2.62)#10000:28:13(-11.6)#2,792

Common Questions

What are the Top 10 Cities with the Shortest Median Commute Time to Work for Males in North Dakota?
Top 10 Cities with the Shortest Median Commute Time to Work for Males in North Dakota are:
#1
00:02:40
#2
00:04:23
#3
00:05:00
#4
00:05:08
#5
00:06:09
#6
00:06:56
#7
00:07:26
#8
00:07:30
#9
00:07:39
#10
00:07:42
What city has the Shortest Median Commute Time to Work for Males in North Dakota?
Milton has the Shortest Median Commute Time to Work for Males in North Dakota with 00:02:40.
What is the Median Commute Time to Work for Males in the State of North Dakota?
Median Commute Time to Work for Males in North Dakota is 00:19:17.
What is the Median Commute Time to Work for Males in the United States?
Median Commute Time to Work for Males in the United States is 00:28:13.