Cities 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
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Comparison Subject

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

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

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

City Commute Time vs State vs National
1.Virgil00:02:0000:16:39(-14.7)#100:24:50(-22.8)#4
2.Allen00:04:1500:16:39(-12.4)#200:24:50(-20.6)#79
3.Kadoka00:04:4600:16:39(-11.9)#300:24:50(-20.1)#106
4.Bowdle00:04:4800:16:39(-11.8)#400:24:50(-20.0)#108
5.Britton00:05:2700:16:39(-11.2)#500:24:50(-19.4)#158
6.Wanblee00:05:2800:16:39(-11.2)#600:24:50(-19.4)#162
7.Bison00:05:5400:16:39(-10.7)#700:24:50(-18.9)#191
8.Philip00:06:0200:16:39(-10.6)#800:24:50(-18.8)#201
9.Eden00:06:3200:16:39(-10.1)#900:24:50(-18.3)#242
10.Faulkton00:07:0100:16:39(-9.62)#1000:24:50(-17.8)#283
11.Hecla00:07:2400:16:39(-9.25)#1100:24:50(-17.4)#334
12.Mcintosh00:07:3900:16:39(-8.98)#1200:24:50(-17.2)#358
13.Morningside00:07:5400:16:39(-8.73)#1300:24:50(-16.9)#388
14.Platte00:08:1000:16:39(-8.47)#1400:24:50(-16.7)#433
15.Central City00:08:4800:16:39(-7.85)#1500:24:50(-16.0)#522
16.Pine Ridge00:08:5600:16:39(-7.72)#1600:24:50(-15.9)#536
17.Pierre00:09:0300:16:39(-7.60)#1700:24:50(-15.8)#560
18.Buffalo00:09:1500:16:39(-7.40)#1800:24:50(-15.6)#595
19.Eagle Butte00:09:2200:16:39(-7.28)#1900:24:50(-15.5)#627
20.Herreid00:09:2200:16:39(-7.28)#2000:24:50(-15.5)#628
21.Chamberlain00:09:2300:16:39(-7.27)#2100:24:50(-15.5)#631
22.Milbank00:09:2400:16:39(-7.23)#2200:24:50(-15.4)#633
23.St Francis00:09:2500:16:39(-7.23)#2300:24:50(-15.4)#636
24.Lebanon00:09:2700:16:39(-7.19)#2400:24:50(-15.4)#642
25.Lower Brule00:09:3300:16:39(-7.09)#2500:24:50(-15.3)#660
26.Martin00:09:3400:16:39(-7.07)#2600:24:50(-15.3)#666
27.Lemmon00:09:3600:16:39(-7.05)#2700:24:50(-15.2)#669
28.Newell00:09:3700:16:39(-7.02)#2800:24:50(-15.2)#683
29.North Eagle Butte00:09:4900:16:39(-6.83)#2900:24:50(-15.0)#726
30.Lake Andes00:09:5200:16:39(-6.77)#3000:24:50(-15.0)#741
31.Hoven00:10:0900:16:39(-6.50)#3100:24:50(-14.7)#823
32.Big Stone City00:10:1000:16:39(-6.48)#3200:24:50(-14.7)#826
33.Miller00:10:1000:16:39(-6.47)#3300:24:50(-14.7)#831
34.Sisseton00:10:1700:16:39(-6.35)#3400:24:50(-14.5)#848
35.Alcester00:10:2000:16:39(-6.30)#3500:24:50(-14.5)#866
36.Burke00:10:2700:16:39(-6.20)#3600:24:50(-14.4)#896
37.Antelope00:10:2800:16:39(-6.18)#3700:24:50(-14.4)#903
38.Grenville00:10:3100:16:39(-6.12)#3800:24:50(-14.3)#919
39.Oacoma00:10:3300:16:39(-6.10)#3900:24:50(-14.3)#928
40.Faith00:10:3600:16:39(-6.04)#4000:24:50(-14.2)#950
41.Hetland00:10:3700:16:39(-6.03)#4100:24:50(-14.2)#957
42.Mitchell00:10:3900:16:39(-5.99)#4200:24:50(-14.2)#966
43.Kennebec00:10:4000:16:39(-5.97)#4300:24:50(-14.2)#971
44.White Lake00:10:4500:16:39(-5.90)#4400:24:50(-14.1)#994
45.Webster00:10:5000:16:39(-5.81)#4500:24:50(-14.0)#1,030
46.De Smet00:10:5300:16:39(-5.76)#4600:24:50(-14.0)#1,044
47.Brookings00:10:5300:16:39(-5.76)#4700:24:50(-14.0)#1,045
48.West Brule00:10:5400:16:39(-5.74)#4800:24:50(-13.9)#1,055
49.Winner00:11:0100:16:39(-5.63)#4900:24:50(-13.8)#1,098
50.Dallas00:11:0700:16:39(-5.52)#5000:24:50(-13.7)#1,134
51.Aberdeen00:11:0800:16:39(-5.50)#5100:24:50(-13.7)#1,144
52.Wilmot00:11:1700:16:39(-5.36)#5200:24:50(-13.5)#1,202
53.Kyle00:11:1700:16:39(-5.35)#5300:24:50(-13.5)#1,204
54.Alpena00:11:2500:16:39(-5.22)#5400:24:50(-13.4)#1,264
55.Wessington Springs00:11:2900:16:39(-5.16)#5500:24:50(-13.3)#1,293
56.Gettysburg00:11:3000:16:39(-5.14)#5600:24:50(-13.3)#1,302
57.Dakota Dunes00:11:3100:16:39(-5.13)#5700:24:50(-13.3)#1,307
58.Mobridge00:11:3400:16:39(-5.08)#5800:24:50(-13.3)#1,325
59.Wagner00:11:4200:16:39(-4.95)#5900:24:50(-13.1)#1,377
60.Pollock00:11:4700:16:39(-4.86)#6000:24:50(-13.0)#1,403
61.Madison00:11:5100:16:39(-4.80)#6100:24:50(-13.0)#1,427
62.Gregory00:12:0300:16:39(-4.60)#6200:24:50(-12.8)#1,515
63.Agency Village00:12:0300:16:39(-4.58)#6300:24:50(-12.8)#1,522
64.Huron00:12:0700:16:39(-4.53)#6400:24:50(-12.7)#1,539
65.Fort Thompson00:12:0900:16:39(-4.50)#6500:24:50(-12.7)#1,561
66.Rosebud00:12:1600:16:39(-4.37)#6600:24:50(-12.6)#1,605
67.Watertown00:12:2800:16:39(-4.18)#6700:24:50(-12.4)#1,685
68.Colome00:12:3000:16:39(-4.15)#6800:24:50(-12.3)#1,697
69.Prairiewood00:12:3900:16:39(-3.99)#6900:24:50(-12.2)#1,767
70.Bristol00:12:4600:16:39(-3.87)#7000:24:50(-12.1)#1,823
71.Spearfish00:12:5000:16:39(-3.81)#7100:24:50(-12.0)#1,864
72.Selby00:12:5300:16:39(-3.76)#7200:24:50(-11.9)#1,886
73.Highmore00:12:5300:16:39(-3.75)#7300:24:50(-11.9)#1,890
74.Ashland Heights00:12:5400:16:39(-3.74)#7400:24:50(-11.9)#1,898
75.White River00:12:5900:16:39(-3.66)#7500:24:50(-11.8)#1,936
76.Turton00:13:0000:16:39(-3.65)#7600:24:50(-11.8)#1,943
77.Hot Springs00:13:0400:16:39(-3.58)#7700:24:50(-11.8)#1,970
78.Bancroft00:13:0700:16:39(-3.53)#7800:24:50(-11.7)#2,001
79.Yankton00:13:1000:16:39(-3.48)#7900:24:50(-11.7)#2,025
80.Custer00:13:1400:16:39(-3.41)#8000:24:50(-11.6)#2,065
81.Redfield00:13:1700:16:39(-3.36)#8100:24:50(-11.5)#2,093
82.Eureka00:13:1800:16:39(-3.34)#8200:24:50(-11.5)#2,104
83.Deadwood00:13:2600:16:39(-3.22)#8300:24:50(-11.4)#2,194
84.Flandreau00:13:2900:16:39(-3.17)#8400:24:50(-11.4)#2,230
85.St Lawrence00:13:3300:16:39(-3.09)#8500:24:50(-11.3)#2,278
86.Scotland00:13:3500:16:39(-3.07)#8600:24:50(-11.3)#2,301
87.Bushnell00:13:3800:16:39(-3.01)#8700:24:50(-11.2)#2,331
88.Hosmer00:13:5700:16:39(-2.69)#8800:24:50(-10.9)#2,536
89.Hitchcock00:14:0000:16:39(-2.65)#8900:24:50(-10.8)#2,560
90.Oahe Acres00:14:0200:16:39(-2.61)#9000:24:50(-10.8)#2,591
91.Murdo00:14:0700:16:39(-2.53)#9100:24:50(-10.7)#2,652
92.Herrick00:14:0900:16:39(-2.48)#9200:24:50(-10.7)#2,675
93.Cavour00:14:1300:16:39(-2.42)#9300:24:50(-10.6)#2,712
94.Howard00:14:1400:16:39(-2.41)#9400:24:50(-10.6)#2,728
95.Gary00:14:1700:16:39(-2.37)#9500:24:50(-10.6)#2,764
96.Wasta00:14:1700:16:39(-2.37)#9600:24:50(-10.6)#2,771
97.Pine Lakes Addition00:14:2100:16:39(-2.28)#9700:24:50(-10.5)#2,828
98.Wonderland Homes00:14:2800:16:39(-2.18)#9800:24:50(-10.4)#2,895
99.Mission Hill00:14:2900:16:39(-2.16)#9900:24:50(-10.4)#2,915
100.Hill City00:14:3200:16:39(-2.11)#10000:24:50(-10.3)#2,954

Common Questions

What are the Top 10 Cities with the Shortest Median Commute Time to Work for Females in South Dakota?
Top 10 Cities with the Shortest Median Commute Time to Work for Females in South Dakota are:
#1
00:02:00
#2
00:04:15
#3
00:04:46
#4
00:04:48
#5
00:05:27
#6
00:05:28
#7
00:05:54
#8
00:06:02
#9
00:06:32
#10
00:07:01
What city has the Shortest Median Commute Time to Work for Females in South Dakota?
Virgil has the Shortest Median Commute Time to Work for Females in South Dakota with 00:02:00.
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.