Zip Codes 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
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1.5579600:07:3000:21:44(-14.2)#100:24:50(-17.3)#250
2.5596800:10:1200:21:44(-11.5)#200:24:50(-14.6)#564
3.5670100:10:5300:21:44(-10.9)#300:24:50(-14.0)#699
4.5573100:11:0400:21:44(-10.7)#400:24:50(-13.8)#737
5.5625800:11:1300:21:44(-10.5)#500:24:50(-13.6)#774
6.5668500:11:1500:21:44(-10.5)#600:24:50(-13.6)#780
7.5664900:11:2000:21:44(-10.4)#700:24:50(-13.5)#806
8.5615300:11:4500:21:44(-10.00)#800:24:50(-13.1)#934
9.5603100:11:4500:21:44(-9.99)#900:24:50(-13.1)#937
10.5601300:12:0100:21:44(-9.72)#1000:24:50(-12.8)#1,031
11.5626700:12:2000:21:44(-9.40)#1100:24:50(-12.5)#1,117
12.5653700:12:2100:21:44(-9.39)#1200:24:50(-12.5)#1,121
13.5610100:12:2200:21:44(-9.38)#1300:24:50(-12.5)#1,125
14.5676300:12:2300:21:44(-9.35)#1400:24:50(-12.4)#1,131
15.5620100:12:3100:21:44(-9.23)#1500:24:50(-12.3)#1,167
16.5577200:12:4300:21:44(-9.02)#1600:24:50(-12.1)#1,229
17.5628300:12:4400:21:44(-9.01)#1700:24:50(-12.1)#1,235
18.5626500:12:4800:21:44(-8.94)#1800:24:50(-12.0)#1,267
19.5614300:13:0500:21:44(-8.66)#1900:24:50(-11.8)#1,369
20.5560500:13:1000:21:44(-8.57)#2000:24:50(-11.7)#1,407
21.5667100:13:1900:21:44(-8.43)#2100:24:50(-11.5)#1,462
22.5627800:13:2400:21:44(-8.34)#2200:24:50(-11.4)#1,495
23.5545500:13:2500:21:44(-8.32)#2300:24:50(-11.4)#1,500
24.5560400:13:3100:21:44(-8.22)#2400:24:50(-11.3)#1,534
25.5651000:13:3300:21:44(-8.19)#2500:24:50(-11.3)#1,542
26.5622600:13:4200:21:44(-8.03)#2600:24:50(-11.1)#1,614
27.5623500:13:4300:21:44(-8.02)#2700:24:50(-11.1)#1,623
28.5598700:13:4900:21:44(-7.93)#2800:24:50(-11.0)#1,669
29.5607300:13:4900:21:44(-7.92)#2900:24:50(-11.0)#1,673
30.5629600:13:5700:21:44(-7.79)#3000:24:50(-10.9)#1,735
31.5590200:13:5800:21:44(-7.78)#3100:24:50(-10.9)#1,738
32.5671600:13:5800:21:44(-7.77)#3200:24:50(-10.9)#1,741
33.5656300:13:5800:21:44(-7.77)#3300:24:50(-10.9)#1,742
34.5600300:14:0200:21:44(-7.70)#3400:24:50(-10.8)#1,780
35.5600100:14:0300:21:44(-7.70)#3500:24:50(-10.8)#1,782
36.5580500:14:0500:21:44(-7.65)#3600:24:50(-10.7)#1,805
37.5579200:14:0800:21:44(-7.60)#3700:24:50(-10.7)#1,830
38.5608100:14:0900:21:44(-7.60)#3800:24:50(-10.7)#1,832
39.5612800:14:1000:21:44(-7.58)#3900:24:50(-10.7)#1,847
40.5624100:14:1100:21:44(-7.56)#4000:24:50(-10.7)#1,861
41.5618700:14:1200:21:44(-7.54)#4100:24:50(-10.6)#1,871
42.5627000:14:1400:21:44(-7.51)#4200:24:50(-10.6)#1,886
43.5621900:14:1600:21:44(-7.47)#4300:24:50(-10.6)#1,897
44.5652000:14:1600:21:44(-7.47)#4400:24:50(-10.6)#1,899
45.5621500:14:2400:21:44(-7.34)#4500:24:50(-10.4)#1,958
46.5575300:14:2400:21:44(-7.34)#4600:24:50(-10.4)#1,961
47.5615900:14:3000:21:44(-7.24)#4700:24:50(-10.3)#2,019
48.5638700:14:3100:21:44(-7.23)#4800:24:50(-10.3)#2,032
49.5581100:14:3400:21:44(-7.18)#4900:24:50(-10.3)#2,064
50.5650100:14:3600:21:44(-7.14)#5000:24:50(-10.2)#2,085
51.5580600:14:3800:21:44(-7.11)#5100:24:50(-10.2)#2,105
52.5648200:14:4400:21:44(-7.00)#5200:24:50(-10.1)#2,177
53.5580200:14:5000:21:44(-6.90)#5300:24:50(-9.99)#2,242
54.5608500:14:5900:21:44(-6.76)#5400:24:50(-9.85)#2,314
55.5623200:15:0200:21:44(-6.71)#5500:24:50(-9.80)#2,350
56.5628100:15:0800:21:44(-6.61)#5600:24:50(-9.70)#2,410
57.5627700:15:1000:21:44(-6.58)#5700:24:50(-9.67)#2,423
58.5600700:15:1000:21:44(-6.57)#5800:24:50(-9.66)#2,429
59.5608200:15:1300:21:44(-6.52)#5900:24:50(-9.62)#2,450
60.5623900:15:1500:21:44(-6.49)#6000:24:50(-9.58)#2,482
61.5591200:15:1800:21:44(-6.44)#6100:24:50(-9.54)#2,508
62.5590400:15:2000:21:44(-6.40)#6200:24:50(-9.50)#2,529
63.5616400:15:2000:21:44(-6.40)#6300:24:50(-9.50)#2,530
64.5624000:15:2000:21:44(-6.40)#6400:24:50(-9.49)#2,532
65.5581200:15:2400:21:44(-6.34)#6500:24:50(-9.43)#2,577
66.5672100:15:2600:21:44(-6.30)#6600:24:50(-9.40)#2,612
67.5624400:15:3500:21:44(-6.16)#6700:24:50(-9.26)#2,699
68.5572100:15:3900:21:44(-6.09)#6800:24:50(-9.19)#2,747
69.5535000:15:4000:21:44(-6.07)#6900:24:50(-9.16)#2,761
70.5675500:15:4200:21:44(-6.03)#7000:24:50(-9.13)#2,792
71.5630300:15:4400:21:44(-6.00)#7100:24:50(-9.09)#2,822
72.5659100:15:4500:21:44(-6.00)#7200:24:50(-9.09)#2,824
73.5604600:15:4900:21:44(-5.91)#7300:24:50(-9.01)#2,892
74.5506000:15:5700:21:44(-5.79)#7400:24:50(-8.88)#2,985
75.5574600:15:5900:21:44(-5.75)#7500:24:50(-8.85)#3,018
76.5676200:16:0300:21:44(-5.69)#7600:24:50(-8.79)#3,069
77.5653300:16:0400:21:44(-5.67)#7700:24:50(-8.77)#3,086
78.5576800:16:0400:21:44(-5.67)#7800:24:50(-8.76)#3,090
79.5662600:16:0800:21:44(-5.60)#7900:24:50(-8.70)#3,141
80.5578600:16:0800:21:44(-5.60)#8000:24:50(-8.70)#3,143
81.5637900:16:1300:21:44(-5.52)#8100:24:50(-8.61)#3,206
82.5622900:16:1700:21:44(-5.46)#8200:24:50(-8.55)#3,256
83.5675400:16:1900:21:44(-5.42)#8300:24:50(-8.51)#3,289
84.5594700:16:2600:21:44(-5.30)#8400:24:50(-8.39)#3,405
85.5540200:16:2700:21:44(-5.30)#8500:24:50(-8.39)#3,410
86.5622100:16:2700:21:44(-5.29)#8600:24:50(-8.38)#3,420
87.5611900:16:2900:21:44(-5.26)#8700:24:50(-8.36)#3,450
88.5613600:16:3300:21:44(-5.18)#8800:24:50(-8.28)#3,532
89.5675100:16:3500:21:44(-5.16)#8900:24:50(-8.25)#3,552
90.5625600:16:3500:21:44(-5.16)#9000:24:50(-8.25)#3,554
91.5571900:16:3500:21:44(-5.15)#9100:24:50(-8.25)#3,555
92.5615600:16:3500:21:44(-5.15)#9200:24:50(-8.25)#3,557
93.5595000:16:3900:21:44(-5.08)#9300:24:50(-8.18)#3,633
94.5574400:16:4000:21:44(-5.08)#9400:24:50(-8.17)#3,636
95.5505700:16:4000:21:44(-5.08)#9500:24:50(-8.17)#3,639
96.5535500:16:4000:21:44(-5.07)#9600:24:50(-8.16)#3,643
97.5571300:16:4100:21:44(-5.06)#9700:24:50(-8.16)#3,650
98.5633500:16:4200:21:44(-5.05)#9800:24:50(-8.14)#3,660
99.5572000:16:4200:21:44(-5.04)#9900:24:50(-8.13)#3,676
100.5602000:16:4500:21:44(-5.00)#10000:24:50(-8.09)#3,708

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Minnesota?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Minnesota are:
#1
00:07:30
#2
00:10:12
#3
00:10:53
#4
00:11:04
#5
00:11:13
#6
00:11:15
#7
00:11:20
#8
00:11:45
#9
00:11:45
#10
00:12:01
What zip code has the Shortest Median Commute Time to Work for Females in Minnesota?
55796 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.