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

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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
Minnesota
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1.5668500:06:0300:24:39(-18.6)#100:28:13(-22.2)#148
2.5560500:08:1000:24:39(-16.5)#200:28:13(-20.0)#293
3.5667100:10:3600:24:39(-14.0)#300:28:13(-17.6)#572
4.5577200:10:4900:24:39(-13.8)#400:28:13(-17.4)#604
5.5615900:11:0300:24:39(-13.6)#500:28:13(-17.2)#639
6.5632500:11:0700:24:39(-13.5)#600:28:13(-17.1)#644
7.5596800:11:0900:24:39(-13.5)#700:28:13(-17.1)#651
8.5616200:11:2200:24:39(-13.3)#800:28:13(-16.8)#687
9.5664900:11:3300:24:39(-13.1)#900:28:13(-16.7)#717
10.5612200:11:4500:24:39(-12.9)#1000:28:13(-16.5)#749
11.5626700:11:4800:24:39(-12.9)#1100:28:13(-16.4)#758
12.5675500:11:5000:24:39(-12.8)#1200:28:13(-16.4)#767
13.5561300:11:5400:24:39(-12.8)#1300:28:13(-16.3)#778
14.5607500:12:0100:24:39(-12.6)#1400:28:13(-16.2)#793
15.5572500:12:3000:24:39(-12.2)#1500:28:13(-15.7)#881
16.5625800:12:4200:24:39(-12.0)#1600:28:13(-15.5)#923
17.5652000:13:0200:24:39(-11.6)#1700:28:13(-15.2)#1,009
18.5561200:13:1000:24:39(-11.5)#1800:28:13(-15.1)#1,043
19.5672800:13:1200:24:39(-11.5)#1900:28:13(-15.0)#1,052
20.5602000:13:3600:24:39(-11.1)#2000:28:13(-14.6)#1,127
21.5623500:13:4500:24:39(-10.9)#2100:28:13(-14.5)#1,168
22.5580200:13:4900:24:39(-10.8)#2200:28:13(-14.4)#1,186
23.5620100:14:0500:24:39(-10.6)#2300:28:13(-14.1)#1,257
24.5662600:14:1300:24:39(-10.4)#2400:28:13(-14.0)#1,290
25.5545500:14:2500:24:39(-10.2)#2500:28:13(-13.8)#1,349
26.5601300:14:2600:24:39(-10.2)#2600:28:13(-13.8)#1,353
27.5657300:14:2800:24:39(-10.2)#2700:28:13(-13.7)#1,372
28.5670100:14:3600:24:39(-10.1)#2800:28:13(-13.6)#1,412
29.5676300:14:3600:24:39(-10.1)#2900:28:13(-13.6)#1,414
30.5638900:14:3600:24:39(-10.0)#3000:28:13(-13.6)#1,421
31.5629400:14:4200:24:39(-9.94)#3100:28:13(-13.5)#1,453
32.5609700:14:4200:24:39(-9.94)#3200:28:13(-13.5)#1,457
33.5571300:14:4800:24:39(-9.86)#3300:28:13(-13.4)#1,486
34.5614700:15:0000:24:39(-9.66)#3400:28:13(-13.2)#1,555
35.5623900:15:0200:24:39(-9.62)#3500:28:13(-13.2)#1,571
36.5621900:15:0500:24:39(-9.56)#3600:28:13(-13.1)#1,591
37.5675400:15:0800:24:39(-9.51)#3700:28:13(-13.1)#1,615
38.5607300:15:1200:24:39(-9.45)#3800:28:13(-13.0)#1,646
39.5627400:15:1300:24:39(-9.44)#3900:28:13(-13.0)#1,651
40.5615600:15:1300:24:39(-9.43)#4000:28:13(-13.0)#1,654
41.5652500:15:1400:24:39(-9.42)#4100:28:13(-13.0)#1,657
42.5675100:15:2700:24:39(-9.20)#4200:28:13(-12.8)#1,741
43.5626000:15:3100:24:39(-9.14)#4300:28:13(-12.7)#1,767
44.5612800:15:3300:24:39(-9.10)#4400:28:13(-12.7)#1,782
45.5615800:15:3300:24:39(-9.10)#4500:28:13(-12.7)#1,786
46.5623200:15:3400:24:39(-9.08)#4600:28:13(-12.6)#1,795
47.5625600:15:3400:24:39(-9.08)#4700:28:13(-12.6)#1,796
48.5615500:15:3500:24:39(-9.07)#4800:28:13(-12.6)#1,798
49.5618500:15:3900:24:39(-9.00)#4900:28:13(-12.6)#1,826
50.5628300:15:4300:24:39(-8.93)#5000:28:13(-12.5)#1,848
51.5622900:15:4700:24:39(-8.86)#5100:28:13(-12.4)#1,879
52.5617600:15:5300:24:39(-8.77)#5200:28:13(-12.3)#1,917
53.5581200:15:5400:24:39(-8.75)#5300:28:13(-12.3)#1,930
54.5620700:15:5700:24:39(-8.70)#5400:28:13(-12.3)#1,950
55.5604300:15:5700:24:39(-8.69)#5500:28:13(-12.3)#1,956
56.5598700:16:0100:24:39(-8.63)#5600:28:13(-12.2)#1,979
57.5675600:16:0200:24:39(-8.62)#5700:28:13(-12.2)#1,981
58.5580600:16:0200:24:39(-8.62)#5800:28:13(-12.2)#1,983
59.5616400:16:0700:24:39(-8.54)#5900:28:13(-12.1)#2,015
60.5579200:16:1200:24:39(-8.45)#6000:28:13(-12.0)#2,049
61.5597700:16:1500:24:39(-8.41)#6100:28:13(-12.0)#2,073
62.5615300:16:1700:24:39(-8.36)#6200:28:13(-11.9)#2,104
63.5667300:16:2400:24:39(-8.25)#6300:28:13(-11.8)#2,148
64.5622600:16:2400:24:39(-8.25)#6400:28:13(-11.8)#2,150
65.5624100:16:2500:24:39(-8.23)#6500:28:13(-11.8)#2,156
66.5652900:16:3000:24:39(-8.15)#6600:28:13(-11.7)#2,207
67.5629500:16:3300:24:39(-8.11)#6700:28:13(-11.7)#2,224
68.5627800:16:3400:24:39(-8.08)#6800:28:13(-11.7)#2,232
69.5580700:16:4400:24:39(-7.92)#6900:28:13(-11.5)#2,300
70.5574600:16:4400:24:39(-7.91)#7000:28:13(-11.5)#2,307
71.5613700:16:4800:24:39(-7.85)#7100:28:13(-11.4)#2,341
72.5610100:16:4900:24:39(-7.84)#7200:28:13(-11.4)#2,348
73.5618100:16:5000:24:39(-7.82)#7300:28:13(-11.4)#2,360
74.5602100:16:5100:24:39(-7.80)#7400:28:13(-11.4)#2,368
75.5637100:17:0000:24:39(-7.66)#7500:28:13(-11.2)#2,447
76.5600100:17:0200:24:39(-7.62)#7600:28:13(-11.2)#2,465
77.5672100:17:0300:24:39(-7.60)#7700:28:13(-11.2)#2,475
78.5608500:17:1000:24:39(-7.48)#7800:28:13(-11.0)#2,547
79.5615000:17:1100:24:39(-7.47)#7900:28:13(-11.0)#2,554
80.5622400:17:1600:24:39(-7.38)#8000:28:13(-10.9)#2,593
81.5673400:17:1700:24:39(-7.37)#8100:28:13(-10.9)#2,600
82.5540200:17:1800:24:39(-7.35)#8200:28:13(-10.9)#2,611
83.5545400:17:1800:24:39(-7.35)#8300:28:13(-10.9)#2,612
84.5628400:17:1800:24:39(-7.35)#8400:28:13(-10.9)#2,617
85.5671600:17:1900:24:39(-7.34)#8500:28:13(-10.9)#2,620
86.5611900:17:1900:24:39(-7.33)#8600:28:13(-10.9)#2,623
87.5627100:17:2500:24:39(-7.23)#8700:28:13(-10.8)#2,690
88.5590600:17:2900:24:39(-7.17)#8800:28:13(-10.7)#2,729
89.5654200:17:3000:24:39(-7.15)#8900:28:13(-10.7)#2,758
90.5626300:17:3200:24:39(-7.11)#9000:28:13(-10.7)#2,770
91.5628100:17:3400:24:39(-7.08)#9100:28:13(-10.6)#2,791
92.5621200:17:3700:24:39(-7.03)#9200:28:13(-10.6)#2,821
93.5632300:17:3900:24:39(-7.00)#9300:28:13(-10.6)#2,844
94.5533300:17:4000:24:39(-6.98)#9400:28:13(-10.5)#2,856
95.5506000:17:4800:24:39(-6.85)#9500:28:13(-10.4)#2,961
96.5511400:17:5200:24:39(-6.78)#9600:28:13(-10.4)#3,010
97.5615200:17:5300:24:39(-6.78)#9700:28:13(-10.3)#3,013
98.5671300:17:5800:24:39(-6.69)#9800:28:13(-10.3)#3,070
99.5604600:18:0100:24:39(-6.63)#9900:28:13(-10.2)#3,106
100.5531000:18:0200:24:39(-6.62)#10000:28:13(-10.2)#3,118

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Males in Minnesota?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Males in Minnesota are:
#1
00:06:03
#2
00:08:10
#3
00:10:36
#4
00:10:49
#5
00:11:03
#6
00:11:07
#7
00:11:09
#8
00:11:22
#9
00:11:33
#10
00:11:45
What zip code has the Shortest Median Commute Time to Work for Males in Minnesota?
56685 has the Shortest Median Commute Time to Work for Males in Minnesota with 00:06:03.
What is the Median Commute Time to Work for Males in the State of Minnesota?
Median Commute Time to Work for Males in Minnesota is 00:24:39.
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.