Zip Codes 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
Compare Zip Codes
Comparison Subject

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

00:20:00
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. 57340 01:08:15 00:16:39 (+51.6)#1 00:24:50 (+43.4)#57
2. 57553 01:02:30 00:16:39 (+45.8)#2 00:24:50 (+37.7)#83
3. 57446 00:53:52 00:16:39 (+37.2)#3 00:24:50 (+29.0)#176
4. 57454 00:52:57 00:16:39 (+36.3)#4 00:24:50 (+28.1)#198
5. 57258 00:49:09 00:16:39 (+32.5)#5 00:24:50 (+24.3)#306
6. 57429 00:48:30 00:16:39 (+31.8)#6 00:24:50 (+23.7)#332
7. 57246 00:47:11 00:16:39 (+30.5)#7 00:24:50 (+22.3)#387
8. 57335 00:47:02 00:16:39 (+30.4)#8 00:24:50 (+22.2)#396
9. 57649 00:44:25 00:16:39 (+27.8)#9 00:24:50 (+19.6)#567
10. 57763 00:44:09 00:16:39 (+27.5)#10 00:24:50 (+19.3)#592
11. 57750 00:43:34 00:16:39 (+26.9)#11 00:24:50 (+18.7)#647
12. 57371 00:43:18 00:16:39 (+26.7)#12 00:24:50 (+18.5)#669
13. 57661 00:41:49 00:16:39 (+25.2)#13 00:24:50 (+17.0)#831
14. 57744 00:41:26 00:16:39 (+24.8)#14 00:24:50 (+16.6)#874
15. 57536 00:39:54 00:16:39 (+23.3)#15 00:24:50 (+15.1)#1,083
16. 57759 00:38:57 00:16:39 (+22.3)#16 00:24:50 (+14.1)#1,244
17. 57434 00:38:39 00:16:39 (+22.0)#17 00:24:50 (+13.8)#1,311
18. 57646 00:38:19 00:16:39 (+21.7)#18 00:24:50 (+13.5)#1,382
19. 57552 00:37:09 00:16:39 (+20.5)#19 00:24:50 (+12.3)#1,704
20. 57576 00:37:00 00:16:39 (+20.3)#20 00:24:50 (+12.2)#1,746
21. 57323 00:36:12 00:16:39 (+19.5)#21 00:24:50 (+11.4)#1,986
22. 57050 00:35:40 00:16:39 (+19.0)#22 00:24:50 (+10.8)#2,193
23. 57468 00:35:25 00:16:39 (+18.8)#23 00:24:50 (+10.6)#2,274
24. 57048 00:35:10 00:16:39 (+18.5)#24 00:24:50 (+10.3)#2,368
25. 57236 00:34:48 00:16:39 (+18.1)#25 00:24:50 (+9.96)#2,530
26. 57432 00:34:38 00:16:39 (+18.0)#26 00:24:50 (+9.80)#2,612
27. 57755 00:33:38 00:16:39 (+17.0)#27 00:24:50 (+8.79)#3,099
28. 57584 00:32:37 00:16:39 (+16.0)#28 00:24:50 (+7.78)#3,717
29. 57015 00:32:27 00:16:39 (+15.8)#29 00:24:50 (+7.62)#3,843
30. 57021 00:32:01 00:16:39 (+15.4)#30 00:24:50 (+7.18)#4,162
31. 57762 00:31:58 00:16:39 (+15.3)#31 00:24:50 (+7.14)#4,191
32. 57247 00:31:39 00:16:39 (+15.0)#32 00:24:50 (+6.82)#4,431
33. 57470 00:31:15 00:16:39 (+14.6)#33 00:24:50 (+6.41)#4,805
34. 57047 00:30:58 00:16:39 (+14.3)#34 00:24:50 (+6.13)#5,046
35. 57738 00:30:54 00:16:39 (+14.3)#35 00:24:50 (+6.07)#5,095
36. 57265 00:30:30 00:16:39 (+13.8)#36 00:24:50 (+5.66)#5,460
37. 57569 00:30:26 00:16:39 (+13.8)#37 00:24:50 (+5.60)#5,506
38. 57374 00:30:24 00:16:39 (+13.8)#38 00:24:50 (+5.57)#5,537
39. 57017 00:30:15 00:16:39 (+13.6)#39 00:24:50 (+5.41)#5,684
40. 57314 00:30:00 00:16:39 (+13.3)#40 00:24:50 (+5.16)#5,939
41. 57217 00:29:34 00:16:39 (+12.9)#41 00:24:50 (+4.74)#6,422
42. 57213 00:29:27 00:16:39 (+12.8)#42 00:24:50 (+4.61)#6,572
43. 57767 00:29:17 00:16:39 (+12.6)#43 00:24:50 (+4.44)#6,778
44. 57004 00:29:07 00:16:39 (+12.5)#44 00:24:50 (+4.28)#6,977
45. 57456 00:29:06 00:16:39 (+12.5)#45 00:24:50 (+4.27)#6,987
46. 57035 00:28:59 00:16:39 (+12.3)#46 00:24:50 (+4.14)#7,120
47. 57259 00:28:46 00:16:39 (+12.1)#47 00:24:50 (+3.93)#7,389
48. 57271 00:28:41 00:16:39 (+12.0)#48 00:24:50 (+3.84)#7,491
49. 57251 00:28:41 00:16:39 (+12.0)#49 00:24:50 (+3.84)#7,492
50. 57564 00:28:22 00:16:39 (+11.7)#50 00:24:50 (+3.53)#7,899
51. 57218 00:28:14 00:16:39 (+11.6)#51 00:24:50 (+3.39)#8,079
52. 57057 00:28:09 00:16:39 (+11.5)#52 00:24:50 (+3.32)#8,179
53. 57256 00:28:05 00:16:39 (+11.4)#53 00:24:50 (+3.25)#8,282
54. 57735 00:28:02 00:16:39 (+11.4)#54 00:24:50 (+3.20)#8,356
55. 57466 00:27:49 00:16:39 (+11.2)#55 00:24:50 (+2.98)#8,661
56. 57030 00:27:44 00:16:39 (+11.1)#56 00:24:50 (+2.89)#8,785
57. 57355 00:27:43 00:16:39 (+11.1)#57 00:24:50 (+2.89)#8,787
58. 57053 00:27:39 00:16:39 (+11.0)#58 00:24:50 (+2.82)#8,888
59. 57725 00:27:37 00:16:39 (+11.0)#59 00:24:50 (+2.79)#8,944
60. 57440 00:27:31 00:16:39 (+10.9)#60 00:24:50 (+2.69)#9,093
61. 57751 00:27:30 00:16:39 (+10.8)#61 00:24:50 (+2.66)#9,144
62. 57540 00:27:27 00:16:39 (+10.8)#62 00:24:50 (+2.62)#9,209
63. 57073 00:27:23 00:16:39 (+10.7)#63 00:24:50 (+2.55)#9,321
64. 57067 00:27:20 00:16:39 (+10.7)#64 00:24:50 (+2.50)#9,393
65. 57221 00:27:17 00:16:39 (+10.6)#65 00:24:50 (+2.45)#9,468
66. 57465 00:27:10 00:16:39 (+10.5)#66 00:24:50 (+2.33)#9,647
67. 57238 00:27:09 00:16:39 (+10.5)#67 00:24:50 (+2.32)#9,656
68. 57748 00:27:08 00:16:39 (+10.5)#68 00:24:50 (+2.30)#9,699
69. 57051 00:27:05 00:16:39 (+10.4)#69 00:24:50 (+2.25)#9,780
70. 57220 00:27:03 00:16:39 (+10.4)#70 00:24:50 (+2.22)#9,819
71. 57043 00:27:02 00:16:39 (+10.4)#71 00:24:50 (+2.21)#9,833
72. 57460 00:27:00 00:16:39 (+10.4)#72 00:24:50 (+2.17)#9,889
73. 57024 00:26:55 00:16:39 (+10.3)#73 00:24:50 (+2.09)#10,025
74. 57644 00:26:49 00:16:39 (+10.2)#74 00:24:50 (+1.98)#10,213
75. 57263 00:26:42 00:16:39 (+10.0)#75 00:24:50 (+1.86)#10,389
76. 57270 00:26:41 00:16:39 (+10.0)#76 00:24:50 (+1.85)#10,399
77. 57268 00:26:36 00:16:39 (+9.96)#77 00:24:50 (+1.77)#10,538
78. 57233 00:26:36 00:16:39 (+9.95)#78 00:24:50 (+1.76)#10,559
79. 57234 00:26:35 00:16:39 (+9.94)#79 00:24:50 (+1.75)#10,574
80. 57481 00:26:26 00:16:39 (+9.79)#80 00:24:50 (+1.60)#10,790
81. 57037 00:26:23 00:16:39 (+9.74)#81 00:24:50 (+1.55)#10,877
82. 57375 00:26:17 00:16:39 (+9.64)#82 00:24:50 (+1.45)#11,027
83. 57329 00:26:07 00:16:39 (+9.48)#83 00:24:50 (+1.29)#11,318
84. 57020 00:26:01 00:16:39 (+9.37)#84 00:24:50 (+1.18)#11,505
85. 57435 00:25:41 00:16:39 (+9.04)#85 00:24:50 (+0.852)#12,052
86. 57235 00:25:37 00:16:39 (+8.98)#86 00:24:50 (+0.786)#12,158
87. 57040 00:25:36 00:16:39 (+8.96)#87 00:24:50 (+0.766)#12,198
88. 57541 00:25:35 00:16:39 (+8.94)#88 00:24:50 (+0.746)#12,232
89. 57062 00:25:31 00:16:39 (+8.87)#89 00:24:50 (+0.679)#12,353
90. 57475 00:25:27 00:16:39 (+8.80)#90 00:24:50 (+0.612)#12,488
91. 57467 00:25:13 00:16:39 (+8.58)#91 00:24:50 (+0.391)#12,924
92. 57452 00:25:04 00:16:39 (+8.43)#92 00:24:50 (+0.235)#13,190
93. 57061 00:25:00 00:16:39 (+8.35)#93 00:24:50 (+0.158)#13,352
94. 57075 00:24:58 00:16:39 (+8.33)#94 00:24:50 (+0.135)#13,384
95. 57315 00:24:56 00:16:39 (+8.29)#95 00:24:50 (+0.101)#13,451
96. 57474 00:24:52 00:16:39 (+8.23)#96 00:24:50 (+0.036)#13,563
97. 57334 00:24:47 00:16:39 (+8.15)#97 00:24:50 (-0.043)#13,702
98. 57754 00:24:45 00:16:39 (+8.11)#98 00:24:50 (-0.082)#13,781
99. 57036 00:24:45 00:16:39 (+8.10)#99 00:24:50 (-0.092)#13,805
100. 57626 00:24:40 00:16:39 (+8.03)#100 00:24:50 (-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.