Zip Codes with the Longest Median Commute Time to Work for Females in North Dakota

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Longest 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
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Longest Median Commute Time to Work for Females in North Dakota

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Zip Codes with the Longest Median Commute Time to Work for Females in North Dakota Map

Zip Codes with the Longest Median Commute Time to Work for Females in North Dakota

Zip Code Commute Time vs State vs National
1.5838401:17:1300:16:11(+61.0)#100:24:50(+52.4)#26
2.5856901:06:3600:16:11(+50.4)#200:24:50(+41.8)#66
3.5872500:56:3500:16:11(+40.4)#300:24:50(+31.7)#138
4.5865400:54:2900:16:11(+38.3)#400:24:50(+29.6)#162
5.5874100:51:1100:16:11(+35.0)#500:24:50(+26.4)#230
6.5804900:51:0700:16:11(+34.9)#600:24:50(+26.3)#239
7.5877900:49:4600:16:11(+33.6)#700:24:50(+24.9)#282
8.5847700:49:4600:16:11(+33.6)#800:24:50(+24.9)#283
9.5800600:49:3400:16:11(+33.4)#900:24:50(+24.7)#286
10.5833100:48:3400:16:11(+32.4)#1000:24:50(+23.7)#329
11.5807900:48:0700:16:11(+31.9)#1100:24:50(+23.3)#345
12.5878200:47:3900:16:11(+31.5)#1200:24:50(+22.8)#362
13.5823800:47:3600:16:11(+31.4)#1300:24:50(+22.8)#366
14.5871200:46:3900:16:11(+30.5)#1400:24:50(+21.8)#420
15.5824400:46:3900:16:11(+30.5)#1500:24:50(+21.8)#421
16.5826000:45:0000:16:11(+28.8)#1600:24:50(+20.2)#519
17.5802100:44:0400:16:11(+27.9)#1700:24:50(+19.2)#599
18.5864100:42:5100:16:11(+26.7)#1800:24:50(+18.0)#715
19.5844500:40:5400:16:11(+24.7)#1900:24:50(+16.1)#935
20.5803600:39:5700:16:11(+23.8)#2000:24:50(+15.1)#1,077
21.5874400:39:4100:16:11(+23.5)#2100:24:50(+14.8)#1,123
22.5836100:39:3200:16:11(+23.4)#2200:24:50(+14.7)#1,153
23.5837200:39:0000:16:11(+22.8)#2300:24:50(+14.2)#1,241
24.5804300:38:3500:16:11(+22.4)#2400:24:50(+13.8)#1,324
25.5849600:38:1900:16:11(+22.1)#2500:24:50(+13.5)#1,383
26.5883000:38:0400:16:11(+21.9)#2600:24:50(+13.2)#1,436
27.5872300:37:5100:16:11(+21.7)#2700:24:50(+13.0)#1,493
28.5862500:37:4500:16:11(+21.6)#2800:24:50(+12.9)#1,516
29.5826600:37:1900:16:11(+21.1)#2900:24:50(+12.5)#1,653
30.5836500:37:1700:16:11(+21.1)#3000:24:50(+12.5)#1,656
31.5847500:37:1700:16:11(+21.1)#3100:24:50(+12.4)#1,658
32.5832300:37:0800:16:11(+21.0)#3200:24:50(+12.3)#1,706
33.5856600:35:5300:16:11(+19.7)#3300:24:50(+11.0)#2,118
34.5800700:35:1900:16:11(+19.1)#3400:24:50(+10.5)#2,313
35.5806100:35:1500:16:11(+19.1)#3500:24:50(+10.4)#2,336
36.5847200:35:0300:16:11(+18.9)#3600:24:50(+10.2)#2,405
37.5856000:34:5200:16:11(+18.7)#3700:24:50(+10.0)#2,497
38.5827200:34:5000:16:11(+18.7)#3800:24:50(+10.0)#2,512
39.5842600:34:2400:16:11(+18.2)#3900:24:50(+9.56)#2,747
40.5806300:34:2000:16:11(+18.2)#4000:24:50(+9.50)#2,768
41.5834500:33:3800:16:11(+17.5)#4100:24:50(+8.79)#3,098
42.5842400:33:3600:16:11(+17.4)#4200:24:50(+8.77)#3,114
43.5800100:33:3300:16:11(+17.4)#4300:24:50(+8.71)#3,146
44.5857200:33:0300:16:11(+16.9)#4400:24:50(+8.21)#3,425
45.5876100:32:4300:16:11(+16.5)#4500:24:50(+7.88)#3,644
46.5848700:32:2300:16:11(+16.2)#4600:24:50(+7.55)#3,894
47.5857000:32:2000:16:11(+16.2)#4700:24:50(+7.50)#3,922
48.5845500:32:0100:16:11(+15.8)#4800:24:50(+7.18)#4,156
49.5884900:31:4200:16:11(+15.5)#4900:24:50(+6.86)#4,395
50.5884500:31:4100:16:11(+15.5)#5000:24:50(+6.85)#4,403
51.5873500:31:3400:16:11(+15.4)#5100:24:50(+6.74)#4,508
52.5801800:31:2100:16:11(+15.2)#5200:24:50(+6.52)#4,689
53.5842800:31:1500:16:11(+15.1)#5300:24:50(+6.41)#4,803
54.5846100:31:1300:16:11(+15.0)#5400:24:50(+6.39)#4,819
55.5862700:31:0700:16:11(+14.9)#5500:24:50(+6.29)#4,903
56.5841800:31:0000:16:11(+14.8)#5600:24:50(+6.16)#5,019
57.5857100:30:5900:16:11(+14.8)#5700:24:50(+6.14)#5,039
58.5854100:30:5200:16:11(+14.7)#5800:24:50(+6.04)#5,125
59.5803500:30:4900:16:11(+14.6)#5900:24:50(+5.99)#5,167
60.5805800:30:4400:16:11(+14.6)#6000:24:50(+5.89)#5,252
61.5804700:30:2600:16:11(+14.3)#6100:24:50(+5.61)#5,505
62.5875000:30:2300:16:11(+14.2)#6200:24:50(+5.55)#5,554
63.5806200:30:2300:16:11(+14.2)#6300:24:50(+5.54)#5,567
64.5805200:30:2000:16:11(+14.2)#6400:24:50(+5.50)#5,607
65.5848100:30:1900:16:11(+14.1)#6500:24:50(+5.49)#5,622
66.5838200:30:0000:16:11(+13.8)#6600:24:50(+5.16)#5,955
67.5852000:29:4400:16:11(+13.6)#6700:24:50(+4.90)#6,240
68.5879300:29:2100:16:11(+13.2)#6800:24:50(+4.52)#6,682
69.5803300:28:5800:16:11(+12.8)#6900:24:50(+4.14)#7,124
70.5821400:28:5700:16:11(+12.8)#7000:24:50(+4.11)#7,166
71.5846700:28:5600:16:11(+12.8)#7100:24:50(+4.09)#7,186
72.5844000:28:3900:16:11(+12.5)#7200:24:50(+3.82)#7,521
73.5807700:28:3400:16:11(+12.4)#7300:24:50(+3.74)#7,630
74.5837700:28:3300:16:11(+12.4)#7400:24:50(+3.72)#7,649
75.5853200:28:2200:16:11(+12.2)#7500:24:50(+3.54)#7,891
76.5878900:28:1400:16:11(+12.1)#7600:24:50(+3.39)#8,078
77.5838600:28:0400:16:11(+11.9)#7700:24:50(+3.23)#8,312
78.5855900:28:0100:16:11(+11.8)#7800:24:50(+3.18)#8,385
79.5876800:27:4400:16:11(+11.6)#7900:24:50(+2.89)#8,781
80.5858100:27:3600:16:11(+11.4)#8000:24:50(+2.77)#8,981
81.5842900:27:3300:16:11(+11.4)#8100:24:50(+2.72)#9,054
82.5801600:27:3300:16:11(+11.4)#8200:24:50(+2.71)#9,063
83.5803100:27:3100:16:11(+11.3)#8300:24:50(+2.68)#9,099
84.5883100:27:3100:16:11(+11.3)#8400:24:50(+2.68)#9,103
85.5854200:27:3000:16:11(+11.3)#8500:24:50(+2.66)#9,154
86.5808100:27:2500:16:11(+11.2)#8600:24:50(+2.59)#9,256
87.5803800:27:2200:16:11(+11.2)#8700:24:50(+2.53)#9,348
88.5873100:27:1100:16:11(+11.0)#8800:24:50(+2.34)#9,628
89.5847800:27:0100:16:11(+10.8)#8900:24:50(+2.19)#9,867
90.5857600:26:5500:16:11(+10.7)#9000:24:50(+2.08)#10,049
91.5803200:26:5100:16:11(+10.7)#9100:24:50(+2.01)#10,156
92.5875900:26:4900:16:11(+10.6)#9200:24:50(+1.98)#10,202
93.5846400:26:4300:16:11(+10.5)#9300:24:50(+1.89)#10,348
94.5838500:26:3900:16:11(+10.5)#9400:24:50(+1.82)#10,453
95.5844800:26:3600:16:11(+10.4)#9500:24:50(+1.77)#10,544
96.5805700:26:3000:16:11(+10.3)#9600:24:50(+1.66)#10,695
97.5852400:26:3000:16:11(+10.3)#9700:24:50(+1.66)#10,698
98.5835300:26:2800:16:11(+10.3)#9800:24:50(+1.63)#10,737
99.5871800:26:1400:16:11(+10.1)#9900:24:50(+1.39)#11,124
100.5872100:26:0100:16:11(+9.83)#10000:24:50(+1.18)#11,512

Common Questions

What are the Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in North Dakota?
Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in North Dakota are:
#1
01:17:13
#2
01:06:36
#3
00:56:35
#4
00:54:29
#5
00:51:11
#6
00:51:07
#7
00:49:46
#8
00:49:46
#9
00:49:34
#10
00:48:34
What zip code has the Longest Median Commute Time to Work for Females in North Dakota?
58384 has the Longest Median Commute Time to Work for Females in North Dakota with 01:17:13.
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.