Cities 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
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Comparison Subject

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

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

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

City Commute Time vs State vs National
1.Winton00:07:3000:21:44(-14.2)#100:24:50(-17.3)#343
2.Vineland00:07:3900:21:44(-14.1)#200:24:50(-17.2)#356
3.Ely00:08:0900:21:44(-13.6)#300:24:50(-16.7)#431
4.Beaulieu00:08:3000:21:44(-13.2)#400:24:50(-16.3)#483
5.Thief River Falls00:09:0300:21:44(-12.7)#500:24:50(-15.8)#559
6.Nett Lake00:09:4700:21:44(-12.0)#600:24:50(-15.1)#718
7.Blue Earth00:09:5900:21:44(-11.8)#700:24:50(-14.9)#767
8.St Vincent00:10:0000:21:44(-11.7)#800:24:50(-14.8)#790
9.International Falls00:10:0300:21:44(-11.7)#900:24:50(-14.8)#802
10.Garrison00:10:1400:21:44(-11.5)#1000:24:50(-14.6)#840
11.Cook00:10:1900:21:44(-11.4)#1100:24:50(-14.5)#856
12.Windom00:10:2000:21:44(-11.4)#1200:24:50(-14.5)#864
13.Red Lake00:10:2200:21:44(-11.4)#1300:24:50(-14.5)#872
14.Grand Marais00:10:2300:21:44(-11.3)#1400:24:50(-14.4)#885
15.Fergus Falls00:10:2800:21:44(-11.3)#1500:24:50(-14.4)#904
16.Storden00:10:4600:21:44(-11.0)#1600:24:50(-14.1)#1,000
17.Marshall00:10:5200:21:44(-10.9)#1700:24:50(-14.0)#1,040
18.Montevideo00:10:5700:21:44(-10.8)#1800:24:50(-13.9)#1,068
19.Jackson00:10:5700:21:44(-10.8)#1900:24:50(-13.9)#1,069
20.Homer00:11:0000:21:44(-10.7)#2000:24:50(-13.8)#1,090
21.Lutsen00:11:0900:21:44(-10.6)#2100:24:50(-13.7)#1,151
22.Warroad00:11:1100:21:44(-10.6)#2200:24:50(-13.7)#1,158
23.Leota00:11:1500:21:44(-10.5)#2300:24:50(-13.6)#1,178
24.St. John's University00:11:1800:21:44(-10.4)#2400:24:50(-13.5)#1,211
25.Morris00:11:1900:21:44(-10.4)#2500:24:50(-13.5)#1,216
26.Fairmont00:11:2100:21:44(-10.4)#2600:24:50(-13.5)#1,231
27.Detroit Lakes00:11:2200:21:44(-10.4)#2700:24:50(-13.5)#1,242
28.Wadena00:11:2200:21:44(-10.4)#2800:24:50(-13.5)#1,243
29.Browns Valley00:11:3000:21:44(-10.2)#2900:24:50(-13.3)#1,303
30.Riverland00:11:4300:21:44(-10.0)#3000:24:50(-13.1)#1,384
31.Redwood Falls00:11:4400:21:44(-10.0)#3100:24:50(-13.1)#1,388
32.Aitkin00:11:4800:21:44(-9.94)#3200:24:50(-13.0)#1,407
33.Ada00:11:5400:21:44(-9.85)#3300:24:50(-12.9)#1,445
34.Willmar00:11:5700:21:44(-9.79)#3400:24:50(-12.9)#1,478
35.La Prairie00:11:5900:21:44(-9.75)#3500:24:50(-12.8)#1,490
36.Avoca00:12:0300:21:44(-9.69)#3600:24:50(-12.8)#1,519
37.Ortonville00:12:1200:21:44(-9.53)#3700:24:50(-12.6)#1,576
38.St James00:12:1800:21:44(-9.44)#3800:24:50(-12.5)#1,616
39.Westbrook00:12:1900:21:44(-9.42)#3900:24:50(-12.5)#1,625
40.Dumont00:12:2000:21:44(-9.41)#4000:24:50(-12.5)#1,628
41.Remer00:12:2300:21:44(-9.36)#4100:24:50(-12.5)#1,651
42.Graceville00:12:2700:21:44(-9.29)#4200:24:50(-12.4)#1,682
43.Baudette00:12:3500:21:44(-9.16)#4300:24:50(-12.3)#1,741
44.New Ulm00:12:3800:21:44(-9.11)#4400:24:50(-12.2)#1,762
45.Sleepy Eye00:12:4600:21:44(-8.97)#4500:24:50(-12.1)#1,827
46.Medicine Lake00:12:5300:21:44(-8.86)#4600:24:50(-12.0)#1,880
47.Crookston00:12:5400:21:44(-8.83)#4700:24:50(-11.9)#1,900
48.Cottonwood00:12:5500:21:44(-8.82)#4800:24:50(-11.9)#1,909
49.Winona00:12:5700:21:44(-8.78)#4900:24:50(-11.9)#1,922
50.Roseau00:12:5800:21:44(-8.78)#5000:24:50(-11.9)#1,926
51.Littlefork00:13:0200:21:44(-8.71)#5100:24:50(-11.8)#1,953
52.Edgerton00:13:0500:21:44(-8.65)#5200:24:50(-11.7)#1,982
53.Bemidji00:13:0900:21:44(-8.60)#5300:24:50(-11.7)#2,019
54.Chokio00:13:1300:21:44(-8.52)#5400:24:50(-11.6)#2,059
55.Donnelly00:13:1400:21:44(-8.51)#5500:24:50(-11.6)#2,063
56.Park Rapids00:13:1700:21:44(-8.45)#5600:24:50(-11.5)#2,092
57.Mcintosh00:13:2100:21:44(-8.39)#5700:24:50(-11.5)#2,137
58.Dawson00:13:2100:21:44(-8.39)#5800:24:50(-11.5)#2,139
59.Blackduck00:13:2200:21:44(-8.37)#5900:24:50(-11.5)#2,159
60.Borup00:13:2500:21:44(-8.33)#6000:24:50(-11.4)#2,187
61.Walker00:13:2700:21:44(-8.30)#6100:24:50(-11.4)#2,203
62.Clara City00:13:2800:21:44(-8.27)#6200:24:50(-11.4)#2,224
63.Grand Rapids00:13:2900:21:44(-8.26)#6300:24:50(-11.4)#2,231
64.St Peter00:13:2900:21:44(-8.26)#6400:24:50(-11.4)#2,232
65.Lamberton00:13:3000:21:44(-8.24)#6500:24:50(-11.3)#2,243
66.Proctor00:13:3300:21:44(-8.19)#6600:24:50(-11.3)#2,277
67.Mankato00:13:3400:21:44(-8.17)#6700:24:50(-11.3)#2,291
68.Granite Falls00:13:3500:21:44(-8.15)#6800:24:50(-11.2)#2,305
69.Erskine00:13:3600:21:44(-8.14)#6900:24:50(-11.2)#2,315
70.North Mankato00:13:3800:21:44(-8.11)#7000:24:50(-11.2)#2,327
71.St Hilaire00:13:3900:21:44(-8.09)#7100:24:50(-11.2)#2,344
72.Correll00:13:4500:21:44(-8.00)#7200:24:50(-11.1)#2,412
73.Pipestone00:13:4600:21:44(-7.97)#7300:24:50(-11.1)#2,423
74.Benson00:13:5000:21:44(-7.91)#7400:24:50(-11.0)#2,462
75.Virginia00:13:5300:21:44(-7.86)#7500:24:50(-11.0)#2,487
76.Chandler00:13:5400:21:44(-7.84)#7600:24:50(-10.9)#2,497
77.Essig00:13:5600:21:44(-7.80)#7700:24:50(-10.9)#2,519
78.Motley00:13:5700:21:44(-7.79)#7800:24:50(-10.9)#2,531
79.Elizabeth00:13:5800:21:44(-7.77)#7900:24:50(-10.9)#2,540
80.Bovey00:13:5900:21:44(-7.76)#8000:24:50(-10.9)#2,544
81.Warren00:14:0100:21:44(-7.72)#8100:24:50(-10.8)#2,580
82.Ulen00:14:1200:21:44(-7.53)#8200:24:50(-10.6)#2,706
83.Heidelberg00:14:1800:21:44(-7.44)#8300:24:50(-10.5)#2,781
84.Frazee00:14:2000:21:44(-7.40)#8400:24:50(-10.5)#2,815
85.Wahkon00:14:2000:21:44(-7.40)#8500:24:50(-10.5)#2,819
86.Worthington00:14:2600:21:44(-7.30)#8600:24:50(-10.4)#2,867
87.Ihlen00:14:2600:21:44(-7.30)#8700:24:50(-10.4)#2,872
88.Keewatin00:14:2600:21:44(-7.30)#8800:24:50(-10.4)#2,873
89.Moose Lake00:14:2700:21:44(-7.30)#8900:24:50(-10.4)#2,874
90.Chisholm00:14:2700:21:44(-7.29)#9000:24:50(-10.4)#2,881
91.Goodview00:14:2900:21:44(-7.26)#9100:24:50(-10.4)#2,914
92.Hendricks00:14:2900:21:44(-7.26)#9200:24:50(-10.4)#2,916
93.Breckenridge00:14:2900:21:44(-7.26)#9300:24:50(-10.4)#2,917
94.Prinsburg00:14:3000:21:44(-7.25)#9400:24:50(-10.3)#2,926
95.Wheaton00:14:3000:21:44(-7.24)#9500:24:50(-10.3)#2,935
96.Albert Lea00:14:3200:21:44(-7.21)#9600:24:50(-10.3)#2,952
97.Rutledge00:14:3200:21:44(-7.20)#9700:24:50(-10.3)#2,965
98.Truman00:14:3600:21:44(-7.14)#9800:24:50(-10.2)#3,014
99.Bigfork00:14:3800:21:44(-7.11)#9900:24:50(-10.2)#3,045
100.Skyline00:14:4000:21:44(-7.07)#10000:24:50(-10.2)#3,075

Common Questions

What are the Top 10 Cities with the Shortest Median Commute Time to Work for Females in Minnesota?
Top 10 Cities with the Shortest Median Commute Time to Work for Females in Minnesota are:
#1
00:07:30
#2
00:07:39
#3
00:08:09
#4
00:08:30
#5
00:09:03
#6
00:09:47
#7
00:09:59
#8
00:10:00
#9
00:10:03
#10
00:10:14
What city has the Shortest Median Commute Time to Work for Females in Minnesota?
Winton 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.