Cities with the Longest Median Commute Time to Work for Females in South 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
South Dakota
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Comparison Subject

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

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01:20:00
Cities with the Longest Median Commute Time to Work for Females in South Dakota Map

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

City Commute Time vs State vs National
1.Fulton01:08:0400:16:39(+51.4)#100:24:50(+43.2)#55
2.Langford01:00:0900:16:39(+43.5)#200:24:50(+35.3)#102
3.La Bolt00:54:3600:16:39(+38.0)#300:24:50(+29.8)#164
4.Oelrichs00:53:4900:16:39(+37.2)#400:24:50(+29.0)#177
5.Fairfax00:49:2300:16:39(+32.7)#500:24:50(+24.6)#295
6.Brentford00:48:3000:16:39(+31.8)#600:24:50(+23.7)#326
7.Boulder Canyon00:45:0800:16:39(+28.5)#700:24:50(+20.3)#457
8.Claremont00:45:0000:16:39(+28.3)#800:24:50(+20.2)#468
9.Whitehorse00:43:0600:16:39(+26.5)#900:24:50(+18.3)#606
10.Fairburn00:43:0000:16:39(+26.3)#1000:24:50(+18.2)#618
11.Sicangu00:42:4700:16:39(+26.1)#1100:24:50(+18.0)#641
12.Leola00:42:1400:16:39(+25.6)#1200:24:50(+17.4)#704
13.Wentworth00:42:0800:16:39(+25.5)#1300:24:50(+17.3)#726
14.Nisland00:41:2200:16:39(+24.7)#1400:24:50(+16.5)#799
15.Chelsea00:41:1500:16:39(+24.6)#1500:24:50(+16.4)#820
16.Richland00:41:0000:16:39(+24.3)#1600:24:50(+16.2)#859
17.Pierpont00:41:0000:16:39(+24.3)#1700:24:50(+16.2)#861
18.Brandt00:40:1200:16:39(+23.5)#1800:24:50(+15.4)#953
19.Midland00:38:1700:16:39(+21.6)#1900:24:50(+13.5)#1,263
20.Naples00:38:1000:16:39(+21.5)#2000:24:50(+13.3)#1,277
21.Garden City00:37:1500:16:39(+20.6)#2100:24:50(+12.4)#1,493
22.Irene00:35:3400:16:39(+18.9)#2200:24:50(+10.7)#1,883
23.Spencer00:35:3300:16:39(+18.9)#2300:24:50(+10.7)#1,889
24.Harrold00:34:0700:16:39(+17.5)#2400:24:50(+9.29)#2,399
25.Parker00:33:5300:16:39(+17.2)#2500:24:50(+9.05)#2,485
26.Mound City00:33:4900:16:39(+17.2)#2600:24:50(+8.98)#2,512
27.New Witten00:32:3700:16:39(+16.0)#2700:24:50(+7.78)#3,095
28.Carthage00:32:1400:16:39(+15.6)#2800:24:50(+7.40)#3,302
29.Brant Lake00:31:4900:16:39(+15.2)#2900:24:50(+6.98)#3,558
30.La Plant00:31:3900:16:39(+15.0)#3000:24:50(+6.82)#3,625
31.Chancellor00:31:3100:16:39(+14.9)#3100:24:50(+6.69)#3,726
32.Westport00:31:1500:16:39(+14.6)#3200:24:50(+6.41)#3,913
33.Hazel00:31:0900:16:39(+14.5)#3300:24:50(+6.31)#3,974
34.Wallace00:31:0000:16:39(+14.3)#3400:24:50(+6.16)#4,092
35.Monroe00:30:5200:16:39(+14.2)#3500:24:50(+6.04)#4,177
36.Davis00:30:2600:16:39(+13.8)#3600:24:50(+5.59)#4,497
37.Tolstoy00:30:0000:16:39(+13.3)#3700:24:50(+5.16)#4,868
38.Canova00:29:4900:16:39(+13.2)#3800:24:50(+4.98)#5,016
39.Bradley00:29:2800:16:39(+12.8)#3900:24:50(+4.63)#5,317
40.Kimball00:29:2200:16:39(+12.7)#4000:24:50(+4.53)#5,407
41.Sherman00:29:0900:16:39(+12.5)#4100:24:50(+4.32)#5,585
42.Valley Springs00:28:5800:16:39(+12.3)#4200:24:50(+4.14)#5,749
43.Humboldt00:28:2900:16:39(+11.8)#4300:24:50(+3.65)#6,217
44.Java00:28:2500:16:39(+11.8)#4400:24:50(+3.58)#6,280
45.Jefferson00:28:1900:16:39(+11.7)#4500:24:50(+3.48)#6,391
46.Ethan00:28:1800:16:39(+11.7)#4600:24:50(+3.47)#6,400
47.South Shore00:28:1200:16:39(+11.6)#4700:24:50(+3.37)#6,495
48.Lake City00:28:1000:16:39(+11.5)#4800:24:50(+3.34)#6,531
49.Lake Poinsett00:28:0900:16:39(+11.5)#4900:24:50(+3.32)#6,561
50.Lesterville00:28:0500:16:39(+11.4)#5000:24:50(+3.25)#6,639
51.Toronto00:28:0300:16:39(+11.4)#5100:24:50(+3.22)#6,677
52.Morristown00:27:5600:16:39(+11.3)#5200:24:50(+3.10)#6,785
53.Springfield00:27:4900:16:39(+11.2)#5300:24:50(+2.99)#6,915
54.Mount Vernon00:27:4100:16:39(+11.0)#5400:24:50(+2.85)#7,072
55.Onida00:27:3500:16:39(+10.9)#5500:24:50(+2.75)#7,193
56.Kenel00:27:1900:16:39(+10.7)#5600:24:50(+2.49)#7,499
57.Johnson Siding00:27:1900:16:39(+10.7)#5700:24:50(+2.48)#7,517
58.Chester00:27:0900:16:39(+10.5)#5800:24:50(+2.31)#7,693
59.Edgemont00:27:0900:16:39(+10.5)#5900:24:50(+2.31)#7,701
60.Hurley00:27:0800:16:39(+10.5)#6000:24:50(+2.30)#7,709
61.Ward00:27:0400:16:39(+10.4)#6100:24:50(+2.24)#7,788
62.Mansfield00:27:0300:16:39(+10.4)#6200:24:50(+2.22)#7,804
63.Colman00:26:3600:16:39(+9.96)#6300:24:50(+1.77)#8,362
64.Willow Lake00:26:2800:16:39(+9.83)#6400:24:50(+1.64)#8,530
65.Lead00:26:2800:16:39(+9.82)#6500:24:50(+1.63)#8,537
66.Peever00:26:1700:16:39(+9.65)#6600:24:50(+1.45)#8,772
67.Stratford00:26:1500:16:39(+9.60)#6700:24:50(+1.41)#8,838
68.Glenham00:26:0900:16:39(+9.52)#6800:24:50(+1.32)#8,953
69.Blunt00:26:0000:16:39(+9.35)#6900:24:50(+1.16)#9,164
70.Northville00:26:0000:16:39(+9.35)#7000:24:50(+1.16)#9,168
71.Rosholt00:25:5800:16:39(+9.32)#7100:24:50(+1.13)#9,191
72.Beresford00:25:5200:16:39(+9.22)#7200:24:50(+1.03)#9,325
73.Yale00:25:5200:16:39(+9.22)#7300:24:50(+1.03)#9,334
74.Wakonda00:25:4700:16:39(+9.14)#7400:24:50(+0.947)#9,436
75.Egan00:25:3200:16:39(+8.89)#7500:24:50(+0.698)#9,750
76.Stickney00:25:2500:16:39(+8.78)#7600:24:50(+0.587)#9,905
77.Crooks00:25:1400:16:39(+8.60)#7700:24:50(+0.405)#10,137
78.Montrose00:25:0700:16:39(+8.48)#7800:24:50(+0.285)#10,319
79.Sinai00:25:0000:16:39(+8.35)#7900:24:50(+0.158)#10,518
80.Erwin00:25:0000:16:39(+8.35)#8000:24:50(+0.158)#10,553
81.Altamont00:25:0000:16:39(+8.35)#8100:24:50(+0.158)#10,554
82.Bryant00:24:4300:16:39(+8.08)#8200:24:50(-0.112)#10,881
83.Pukwana00:24:3500:16:39(+7.95)#8300:24:50(-0.245)#11,069
84.Trent00:24:3200:16:39(+7.89)#8400:24:50(-0.304)#11,161
85.Frederick00:24:3100:16:39(+7.87)#8500:24:50(-0.318)#11,180
86.Estelline00:24:3000:16:39(+7.87)#8600:24:50(-0.326)#11,192
87.Lake Madison00:24:1800:16:39(+7.66)#8700:24:50(-0.530)#11,501
88.Clear Lake00:24:1500:16:39(+7.60)#8800:24:50(-0.592)#11,594
89.Ramona00:24:1400:16:39(+7.59)#8900:24:50(-0.603)#11,609
90.Marion00:24:1100:16:39(+7.54)#9000:24:50(-0.651)#11,693
91.Geddes00:24:0100:16:39(+7.38)#9100:24:50(-0.814)#11,941
92.Badger00:23:5500:16:39(+7.27)#9200:24:50(-0.923)#12,114
93.Bridgewater00:23:5100:16:39(+7.20)#9300:24:50(-0.991)#12,207
94.Oldham00:23:4800:16:39(+7.16)#9400:24:50(-1.03)#12,264
95.Worthing00:23:3700:16:39(+6.98)#9500:24:50(-1.21)#12,572
96.Colton00:23:3700:16:39(+6.97)#9600:24:50(-1.22)#12,587
97.Emery00:23:2100:16:39(+6.71)#9700:24:50(-1.48)#12,977
98.Brant Lake South00:23:1700:16:39(+6.65)#9800:24:50(-1.55)#13,084
99.Roscoe00:23:1600:16:39(+6.62)#9900:24:50(-1.57)#13,126
100.Buffalo Gap00:23:1500:16:39(+6.60)#10000:24:50(-1.59)#13,163

Common Questions

What are the Top 10 Cities with the Longest Median Commute Time to Work for Females in South Dakota?
Top 10 Cities with the Longest Median Commute Time to Work for Females in South Dakota are:
#1
01:08:04
#2
01:00:09
#3
00:54:36
#4
00:53:49
#5
00:49:23
#6
00:48:30
#7
00:45:00
#8
00:43:06
#9
00:43:00
#10
00:42:14
What city has the Longest Median Commute Time to Work for Females in South Dakota?
Fulton has the Longest Median Commute Time to Work for Females in South Dakota with 01:08:04.
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.