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

RELATED REPORTS & OPTIONS

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
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1.5734001:08:1500:16:39(+51.6)#100:24:50(+43.4)#57
2.5755301:02:3000:16:39(+45.8)#200:24:50(+37.7)#83
3.5744600:53:5200:16:39(+37.2)#300:24:50(+29.0)#176
4.5745400:52:5700:16:39(+36.3)#400:24:50(+28.1)#198
5.5725800:49:0900:16:39(+32.5)#500:24:50(+24.3)#306
6.5742900:48:3000:16:39(+31.8)#600:24:50(+23.7)#332
7.5724600:47:1100:16:39(+30.5)#700:24:50(+22.3)#387
8.5733500:47:0200:16:39(+30.4)#800:24:50(+22.2)#396
9.5764900:44:2500:16:39(+27.8)#900:24:50(+19.6)#567
10.5776300:44:0900:16:39(+27.5)#1000:24:50(+19.3)#592
11.5775000:43:3400:16:39(+26.9)#1100:24:50(+18.7)#647
12.5737100:43:1800:16:39(+26.7)#1200:24:50(+18.5)#669
13.5766100:41:4900:16:39(+25.2)#1300:24:50(+17.0)#831
14.5774400:41:2600:16:39(+24.8)#1400:24:50(+16.6)#874
15.5753600:39:5400:16:39(+23.3)#1500:24:50(+15.1)#1,083
16.5775900:38:5700:16:39(+22.3)#1600:24:50(+14.1)#1,244
17.5743400:38:3900:16:39(+22.0)#1700:24:50(+13.8)#1,311
18.5764600:38:1900:16:39(+21.7)#1800:24:50(+13.5)#1,382
19.5755200:37:0900:16:39(+20.5)#1900:24:50(+12.3)#1,704
20.5757600:37:0000:16:39(+20.3)#2000:24:50(+12.2)#1,746
21.5732300:36:1200:16:39(+19.5)#2100:24:50(+11.4)#1,986
22.5705000:35:4000:16:39(+19.0)#2200:24:50(+10.8)#2,193
23.5746800:35:2500:16:39(+18.8)#2300:24:50(+10.6)#2,274
24.5704800:35:1000:16:39(+18.5)#2400:24:50(+10.3)#2,368
25.5723600:34:4800:16:39(+18.1)#2500:24:50(+9.96)#2,530
26.5743200:34:3800:16:39(+18.0)#2600:24:50(+9.80)#2,612
27.5775500:33:3800:16:39(+17.0)#2700:24:50(+8.79)#3,099
28.5758400:32:3700:16:39(+16.0)#2800:24:50(+7.78)#3,717
29.5701500:32:2700:16:39(+15.8)#2900:24:50(+7.62)#3,843
30.5702100:32:0100:16:39(+15.4)#3000:24:50(+7.18)#4,162
31.5776200:31:5800:16:39(+15.3)#3100:24:50(+7.14)#4,191
32.5724700:31:3900:16:39(+15.0)#3200:24:50(+6.82)#4,431
33.5747000:31:1500:16:39(+14.6)#3300:24:50(+6.41)#4,805
34.5704700:30:5800:16:39(+14.3)#3400:24:50(+6.13)#5,046
35.5773800:30:5400:16:39(+14.3)#3500:24:50(+6.07)#5,095
36.5726500:30:3000:16:39(+13.8)#3600:24:50(+5.66)#5,460
37.5756900:30:2600:16:39(+13.8)#3700:24:50(+5.60)#5,506
38.5737400:30:2400:16:39(+13.8)#3800:24:50(+5.57)#5,537
39.5701700:30:1500:16:39(+13.6)#3900:24:50(+5.41)#5,684
40.5731400:30:0000:16:39(+13.3)#4000:24:50(+5.16)#5,939
41.5721700:29:3400:16:39(+12.9)#4100:24:50(+4.74)#6,422
42.5721300:29:2700:16:39(+12.8)#4200:24:50(+4.61)#6,572
43.5776700:29:1700:16:39(+12.6)#4300:24:50(+4.44)#6,778
44.5700400:29:0700:16:39(+12.5)#4400:24:50(+4.28)#6,977
45.5745600:29:0600:16:39(+12.5)#4500:24:50(+4.27)#6,987
46.5703500:28:5900:16:39(+12.3)#4600:24:50(+4.14)#7,120
47.5725900:28:4600:16:39(+12.1)#4700:24:50(+3.93)#7,389
48.5727100:28:4100:16:39(+12.0)#4800:24:50(+3.84)#7,491
49.5725100:28:4100:16:39(+12.0)#4900:24:50(+3.84)#7,492
50.5756400:28:2200:16:39(+11.7)#5000:24:50(+3.53)#7,899
51.5721800:28:1400:16:39(+11.6)#5100:24:50(+3.39)#8,079
52.5705700:28:0900:16:39(+11.5)#5200:24:50(+3.32)#8,179
53.5725600:28:0500:16:39(+11.4)#5300:24:50(+3.25)#8,282
54.5773500:28:0200:16:39(+11.4)#5400:24:50(+3.20)#8,356
55.5746600:27:4900:16:39(+11.2)#5500:24:50(+2.98)#8,661
56.5703000:27:4400:16:39(+11.1)#5600:24:50(+2.89)#8,785
57.5735500:27:4300:16:39(+11.1)#5700:24:50(+2.89)#8,787
58.5705300:27:3900:16:39(+11.0)#5800:24:50(+2.82)#8,888
59.5772500:27:3700:16:39(+11.0)#5900:24:50(+2.79)#8,944
60.5744000:27:3100:16:39(+10.9)#6000:24:50(+2.69)#9,093
61.5775100:27:3000:16:39(+10.8)#6100:24:50(+2.66)#9,144
62.5754000:27:2700:16:39(+10.8)#6200:24:50(+2.62)#9,209
63.5707300:27:2300:16:39(+10.7)#6300:24:50(+2.55)#9,321
64.5706700:27:2000:16:39(+10.7)#6400:24:50(+2.50)#9,393
65.5722100:27:1700:16:39(+10.6)#6500:24:50(+2.45)#9,468
66.5746500:27:1000:16:39(+10.5)#6600:24:50(+2.33)#9,647
67.5723800:27:0900:16:39(+10.5)#6700:24:50(+2.32)#9,656
68.5774800:27:0800:16:39(+10.5)#6800:24:50(+2.30)#9,699
69.5705100:27:0500:16:39(+10.4)#6900:24:50(+2.25)#9,780
70.5722000:27:0300:16:39(+10.4)#7000:24:50(+2.22)#9,819
71.5704300:27:0200:16:39(+10.4)#7100:24:50(+2.21)#9,833
72.5746000:27:0000:16:39(+10.4)#7200:24:50(+2.17)#9,889
73.5702400:26:5500:16:39(+10.3)#7300:24:50(+2.09)#10,025
74.5764400:26:4900:16:39(+10.2)#7400:24:50(+1.98)#10,213
75.5726300:26:4200:16:39(+10.0)#7500:24:50(+1.86)#10,389
76.5727000:26:4100:16:39(+10.0)#7600:24:50(+1.85)#10,399
77.5726800:26:3600:16:39(+9.96)#7700:24:50(+1.77)#10,538
78.5723300:26:3600:16:39(+9.95)#7800:24:50(+1.76)#10,559
79.5723400:26:3500:16:39(+9.94)#7900:24:50(+1.75)#10,574
80.5748100:26:2600:16:39(+9.79)#8000:24:50(+1.60)#10,790
81.5703700:26:2300:16:39(+9.74)#8100:24:50(+1.55)#10,877
82.5737500:26:1700:16:39(+9.64)#8200:24:50(+1.45)#11,027
83.5732900:26:0700:16:39(+9.48)#8300:24:50(+1.29)#11,318
84.5702000:26:0100:16:39(+9.37)#8400:24:50(+1.18)#11,505
85.5743500:25:4100:16:39(+9.04)#8500:24:50(+0.852)#12,052
86.5723500:25:3700:16:39(+8.98)#8600:24:50(+0.786)#12,158
87.5704000:25:3600:16:39(+8.96)#8700:24:50(+0.766)#12,198
88.5754100:25:3500:16:39(+8.94)#8800:24:50(+0.746)#12,232
89.5706200:25:3100:16:39(+8.87)#8900:24:50(+0.679)#12,353
90.5747500:25:2700:16:39(+8.80)#9000:24:50(+0.612)#12,488
91.5746700:25:1300:16:39(+8.58)#9100:24:50(+0.391)#12,924
92.5745200:25:0400:16:39(+8.43)#9200:24:50(+0.235)#13,190
93.5706100:25:0000:16:39(+8.35)#9300:24:50(+0.158)#13,352
94.5707500:24:5800:16:39(+8.33)#9400:24:50(+0.135)#13,384
95.5731500:24:5600:16:39(+8.29)#9500:24:50(+0.101)#13,451
96.5747400:24:5200:16:39(+8.23)#9600:24:50(+0.036)#13,563
97.5733400:24:4700:16:39(+8.15)#9700:24:50(-0.043)#13,702
98.5775400:24:4500:16:39(+8.11)#9800:24:50(-0.082)#13,781
99.5703600:24:4500:16:39(+8.10)#9900:24:50(-0.092)#13,805
100.5762600:24:4000:16:39(+8.03)#10000:24:50(-0.165)#13,951

Common Questions

What are the Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in South Dakota?
Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in South Dakota are:
#1
01:08:15
#2
01:02:30
#3
00:53:52
#4
00:52:57
#5
00:49:09
#6
00:48:30
#7
00:47:11
#8
00:47:02
#9
00:44:25
#10
00:44:09
What zip code has the Longest Median Commute Time to Work for Females in South Dakota?
57340 has the Longest Median Commute Time to Work for Females in South Dakota with 01:08:15.
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.