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

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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
South Dakota
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1.5743800:08:0000:16:39(-8.65)#100:24:50(-16.8)#280
2.5700700:08:4700:16:39(-7.85)#200:24:50(-16.0)#364
3.5757200:08:5600:16:39(-7.71)#300:24:50(-15.9)#372
4.5762000:08:5600:16:39(-7.71)#400:24:50(-15.9)#374
5.5743000:09:0300:16:39(-7.58)#500:24:50(-15.8)#389
6.5754300:09:0400:16:39(-7.57)#600:24:50(-15.8)#392
7.5771400:09:2700:16:39(-7.19)#700:24:50(-15.4)#445
8.5719700:09:3600:16:39(-7.05)#800:24:50(-15.2)#467
9.5754800:09:5100:16:39(-6.79)#900:24:50(-15.0)#499
10.5756700:09:5800:16:39(-6.68)#1000:24:50(-14.9)#515
11.5745500:10:0000:16:39(-6.65)#1100:24:50(-14.8)#529
12.5742800:10:0300:16:39(-6.59)#1200:24:50(-14.8)#540
13.5725200:10:0600:16:39(-6.55)#1300:24:50(-14.7)#548
14.5750100:10:0600:16:39(-6.55)#1400:24:50(-14.7)#550
15.5736900:10:1500:16:39(-6.40)#1500:24:50(-14.6)#567
16.5777000:10:2100:16:39(-6.29)#1600:24:50(-14.5)#590
17.5732500:10:3100:16:39(-6.13)#1700:24:50(-14.3)#620
18.5763200:10:3800:16:39(-6.01)#1800:24:50(-14.2)#646
19.5770600:10:5200:16:39(-5.78)#1900:24:50(-14.0)#694
20.5775200:11:0100:16:39(-5.63)#2000:24:50(-13.8)#728
21.5723200:11:0900:16:39(-5.49)#2100:24:50(-13.7)#753
22.5730100:11:1300:16:39(-5.43)#2200:24:50(-13.6)#773
23.5736200:11:1700:16:39(-5.37)#2300:24:50(-13.6)#788
24.5700600:11:2000:16:39(-5.31)#2400:24:50(-13.5)#803
25.5762500:11:3400:16:39(-5.08)#2500:24:50(-13.3)#881
26.5740100:11:4300:16:39(-4.92)#2600:24:50(-13.1)#924
27.5726200:11:4500:16:39(-4.90)#2700:24:50(-13.1)#936
28.5736500:11:4700:16:39(-4.87)#2800:24:50(-13.1)#943
29.5754400:11:4700:16:39(-4.86)#2900:24:50(-13.0)#945
30.5733900:11:5400:16:39(-4.74)#3000:24:50(-12.9)#989
31.5735600:11:5600:16:39(-4.72)#3100:24:50(-12.9)#998
32.5763800:12:0400:16:39(-4.57)#3200:24:50(-12.8)#1,046
33.5753300:12:0700:16:39(-4.52)#3300:24:50(-12.7)#1,061
34.5756000:12:1500:16:39(-4.40)#3400:24:50(-12.6)#1,089
35.5757000:12:1500:16:39(-4.39)#3500:24:50(-12.6)#1,093
36.5779900:12:1600:16:39(-4.38)#3600:24:50(-12.6)#1,099
37.5710500:12:2600:16:39(-4.22)#3700:24:50(-12.4)#1,138
38.5735000:12:2700:16:39(-4.20)#3800:24:50(-12.4)#1,141
39.5771600:12:3000:16:39(-4.15)#3900:24:50(-12.3)#1,153
40.5772000:12:3800:16:39(-4.01)#4000:24:50(-12.2)#1,191
41.5723900:12:3900:16:39(-3.99)#4100:24:50(-12.2)#1,200
42.5760100:12:4200:16:39(-3.94)#4200:24:50(-12.1)#1,222
43.5763600:12:4600:16:39(-3.87)#4300:24:50(-12.1)#1,254
44.5744200:12:4700:16:39(-3.86)#4400:24:50(-12.1)#1,259
45.5721600:12:4800:16:39(-3.85)#4500:24:50(-12.0)#1,266
46.5720100:12:5000:16:39(-3.82)#4600:24:50(-12.0)#1,277
47.5758000:12:5200:16:39(-3.78)#4700:24:50(-12.0)#1,296
48.5774700:12:5300:16:39(-3.75)#4800:24:50(-11.9)#1,303
49.5723100:12:5500:16:39(-3.73)#4900:24:50(-11.9)#1,313
50.5757900:13:1900:16:39(-3.32)#5000:24:50(-11.5)#1,468
51.5776000:13:3200:16:39(-3.11)#5100:24:50(-11.3)#1,537
52.5755100:13:3600:16:39(-3.04)#5200:24:50(-11.2)#1,562
53.5727400:13:4700:16:39(-2.86)#5300:24:50(-11.1)#1,652
54.5757700:13:5300:16:39(-2.77)#5400:24:50(-11.0)#1,700
55.5755500:14:0000:16:39(-2.65)#5500:24:50(-10.8)#1,755
56.5753100:14:0000:16:39(-2.65)#5600:24:50(-10.8)#1,759
57.5747700:14:0300:16:39(-2.59)#5700:24:50(-10.8)#1,791
58.5747200:14:0700:16:39(-2.52)#5800:24:50(-10.7)#1,820
59.5702800:14:1200:16:39(-2.44)#5900:24:50(-10.6)#1,873
60.5752300:14:1700:16:39(-2.36)#6000:24:50(-10.5)#1,907
61.5737300:14:1800:16:39(-2.34)#6100:24:50(-10.5)#1,913
62.5704900:14:2100:16:39(-2.29)#6200:24:50(-10.5)#1,939
63.5722600:14:2100:16:39(-2.28)#6300:24:50(-10.5)#1,943
64.5702900:14:2200:16:39(-2.27)#6400:24:50(-10.5)#1,951
65.5704200:14:2200:16:39(-2.27)#6500:24:50(-10.5)#1,952
66.5778700:14:2700:16:39(-2.20)#6600:24:50(-10.4)#1,989
67.5738000:14:2800:16:39(-2.18)#6700:24:50(-10.4)#2,001
68.5778300:14:3000:16:39(-2.14)#6800:24:50(-10.3)#2,026
69.5746900:14:3200:16:39(-2.10)#6900:24:50(-10.3)#2,047
70.5770100:14:3300:16:39(-2.09)#7000:24:50(-10.3)#2,059
71.5779100:14:3900:16:39(-1.98)#7100:24:50(-10.2)#2,129
72.5731200:14:4300:16:39(-1.93)#7200:24:50(-10.1)#2,160
73.5736600:14:4400:16:39(-1.91)#7300:24:50(-10.1)#2,176
74.5743700:14:4800:16:39(-1.85)#7400:24:50(-10.0)#2,212
75.5738200:14:5000:16:39(-1.81)#7500:24:50(-10.0)#2,237
76.5710800:14:5400:16:39(-1.74)#7600:24:50(-9.93)#2,277
77.5755900:15:0300:16:39(-1.59)#7700:24:50(-9.78)#2,361
78.5727200:15:0800:16:39(-1.52)#7800:24:50(-9.71)#2,407
79.5774500:15:2100:16:39(-1.29)#7900:24:50(-9.48)#2,542
80.5738400:15:2400:16:39(-1.24)#8000:24:50(-9.43)#2,582
81.5764100:15:2400:16:39(-1.23)#8100:24:50(-9.43)#2,584
82.5722500:15:2500:16:39(-1.23)#8200:24:50(-9.42)#2,593
83.5762100:15:2700:16:39(-1.20)#8300:24:50(-9.39)#2,622
84.5706600:15:2700:16:39(-1.19)#8400:24:50(-9.38)#2,631
85.5707800:15:2800:16:39(-1.17)#8500:24:50(-9.36)#2,642
86.5731700:15:3100:16:39(-1.12)#8600:24:50(-9.31)#2,670
87.5734500:15:3700:16:39(-1.02)#8700:24:50(-9.21)#2,724
88.5724500:15:3900:16:39(-0.984)#8800:24:50(-9.18)#2,752
89.5710400:15:4500:16:39(-0.896)#8900:24:50(-9.09)#2,826
90.5700100:15:5100:16:39(-0.794)#9000:24:50(-8.98)#2,903
91.5707100:15:5400:16:39(-0.743)#9100:24:50(-8.93)#2,941
92.5710300:16:0000:16:39(-0.636)#9200:24:50(-8.83)#3,034
93.5738300:16:0100:16:39(-0.630)#9300:24:50(-8.82)#3,043
94.5732400:16:0100:16:39(-0.618)#9400:24:50(-8.81)#3,050
95.5722700:16:0400:16:39(-0.570)#9500:24:50(-8.76)#3,093
96.5727900:16:1600:16:39(-0.370)#9600:24:50(-8.56)#3,251
97.5732800:16:1700:16:39(-0.354)#9700:24:50(-8.55)#3,262
98.5734900:16:1800:16:39(-0.346)#9800:24:50(-8.54)#3,270
99.5704600:16:2200:16:39(-0.279)#9900:24:50(-8.47)#3,327
100.5753200:16:2400:16:39(-0.236)#10000:24:50(-8.43)#3,364

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in South Dakota?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in South Dakota are:
#1
00:08:00
#2
00:08:47
#3
00:08:56
#4
00:08:56
#5
00:09:03
#6
00:09:04
#7
00:09:27
#8
00:09:36
#9
00:09:51
#10
00:09:58
What zip code has the Shortest Median Commute Time to Work for Females in South Dakota?
57438 has the Shortest Median Commute Time to Work for Females in South Dakota with 00:08:00.
What is the Median Commute Time to Work for Females in the State of South Dakota?
Median Commute Time to Work for Females in South Dakota is 00:16:39.
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.