Zip Codes with the Shortest Median Commute Time to Work for Females in New York

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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
New York
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Shortest Median Commute Time to Work for Females in New York

00:20:00
00:00:00
Zip Codes with the Shortest Median Commute Time to Work for Females in New York Map

Zip Codes with the Shortest Median Commute Time to Work for Females in New York

Zip Code Commute Time vs State vs National
1. 13420 00:04:02 00:31:59 (-27.9)#1 00:24:50 (-20.8)#52
2. 12733 00:04:32 00:31:59 (-27.5)#2 00:24:50 (-20.3)#75
3. 13602 00:05:14 00:31:59 (-26.7)#3 00:24:50 (-19.6)#116
4. 12164 00:06:22 00:31:59 (-25.6)#4 00:24:50 (-18.5)#187
5. 13404 00:07:41 00:31:59 (-24.3)#5 00:24:50 (-17.1)#261
6. 14537 00:08:05 00:31:59 (-23.9)#6 00:24:50 (-16.8)#296
7. 12852 00:08:11 00:31:59 (-23.8)#7 00:24:50 (-16.7)#303
8. 12943 00:08:21 00:31:59 (-23.6)#8 00:24:50 (-16.5)#319
9. 14260 00:08:49 00:31:59 (-23.2)#9 00:24:50 (-16.0)#368
10. 13360 00:09:09 00:31:59 (-22.8)#10 00:24:50 (-15.7)#402
11. 14511 00:09:19 00:31:59 (-22.7)#11 00:24:50 (-15.5)#427
12. 13115 00:09:19 00:31:59 (-22.7)#12 00:24:50 (-15.5)#430
13. 12874 00:09:46 00:31:59 (-22.2)#13 00:24:50 (-15.1)#486
14. 12604 00:09:56 00:31:59 (-22.1)#14 00:24:50 (-14.9)#510
15. 12504 00:09:57 00:31:59 (-22.0)#15 00:24:50 (-14.9)#513
16. 14614 00:10:00 00:31:59 (-22.0)#16 00:24:50 (-14.8)#521
17. 12427 00:10:02 00:31:59 (-21.9)#17 00:24:50 (-14.8)#539
18. 13616 00:10:09 00:31:59 (-21.8)#18 00:24:50 (-14.7)#559
19. 10996 00:10:17 00:31:59 (-21.7)#19 00:24:50 (-14.5)#577
20. 11975 00:10:28 00:31:59 (-21.5)#20 00:24:50 (-14.4)#606
21. 12847 00:10:38 00:31:59 (-21.4)#21 00:24:50 (-14.2)#645
22. 11549 00:10:43 00:31:59 (-21.3)#22 00:24:50 (-14.1)#664
23. 14627 00:10:47 00:31:59 (-21.2)#23 00:24:50 (-14.0)#675
24. 13695 00:10:50 00:31:59 (-21.1)#24 00:24:50 (-14.0)#688
25. 13615 00:10:57 00:31:59 (-21.0)#25 00:24:50 (-13.9)#714
26. 14778 00:11:04 00:31:59 (-20.9)#26 00:24:50 (-13.8)#742
27. 13346 00:11:10 00:31:59 (-20.8)#27 00:24:50 (-13.7)#757
28. 13103 00:11:15 00:31:59 (-20.7)#28 00:24:50 (-13.6)#777
29. 12435 00:11:18 00:31:59 (-20.7)#29 00:24:50 (-13.5)#793
30. 12407 00:11:25 00:31:59 (-20.6)#30 00:24:50 (-13.4)#831
31. 12017 00:11:30 00:31:59 (-20.5)#31 00:24:50 (-13.3)#856
32. 13699 00:11:32 00:31:59 (-20.4)#32 00:24:50 (-13.3)#869
33. 14881 00:11:35 00:31:59 (-20.4)#33 00:24:50 (-13.3)#885
34. 12442 00:11:39 00:31:59 (-20.3)#34 00:24:50 (-13.2)#903
35. 13113 00:11:39 00:31:59 (-20.3)#35 00:24:50 (-13.2)#907
36. 14480 00:11:53 00:31:59 (-20.1)#36 00:24:50 (-13.0)#980
37. 13319 00:12:00 00:31:59 (-20.0)#37 00:24:50 (-12.8)#1,023
38. 14853 00:12:00 00:31:59 (-20.0)#38 00:24:50 (-12.8)#1,026
39. 14802 00:12:01 00:31:59 (-20.0)#39 00:24:50 (-12.8)#1,029
40. 12108 00:12:02 00:31:59 (-20.0)#40 00:24:50 (-12.8)#1,034
41. 12946 00:12:14 00:31:59 (-19.8)#41 00:24:50 (-12.6)#1,087
42. 13815 00:12:19 00:31:59 (-19.7)#42 00:24:50 (-12.5)#1,109
43. 12439 00:12:36 00:31:59 (-19.4)#43 00:24:50 (-12.2)#1,181
44. 13655 00:12:37 00:31:59 (-19.4)#44 00:24:50 (-12.2)#1,186
45. 12207 00:12:42 00:31:59 (-19.3)#45 00:24:50 (-12.1)#1,220
46. 14048 00:12:45 00:31:59 (-19.2)#46 00:24:50 (-12.1)#1,240
47. 12455 00:12:47 00:31:59 (-19.2)#47 00:24:50 (-12.0)#1,263
48. 12903 00:12:48 00:31:59 (-19.2)#48 00:24:50 (-12.0)#1,268
49. 14261 00:13:05 00:31:59 (-18.9)#49 00:24:50 (-11.7)#1,376
50. 13457 00:13:07 00:31:59 (-18.9)#50 00:24:50 (-11.7)#1,385
51. 12983 00:13:07 00:31:59 (-18.9)#51 00:24:50 (-11.7)#1,386
52. 13244 00:13:11 00:31:59 (-18.8)#52 00:24:50 (-11.6)#1,417
53. 13617 00:13:16 00:31:59 (-18.7)#53 00:24:50 (-11.6)#1,445
54. 12986 00:13:27 00:31:59 (-18.5)#54 00:24:50 (-11.4)#1,507
55. 13436 00:13:28 00:31:59 (-18.5)#55 00:24:50 (-11.4)#1,517
56. 12192 00:13:38 00:31:59 (-18.3)#56 00:24:50 (-11.2)#1,576
57. 13087 00:13:45 00:31:59 (-18.2)#57 00:24:50 (-11.1)#1,633
58. 12759 00:13:48 00:31:59 (-18.2)#58 00:24:50 (-11.0)#1,664
59. 14842 00:13:49 00:31:59 (-18.2)#59 00:24:50 (-11.0)#1,667
60. 12222 00:13:51 00:31:59 (-18.1)#60 00:24:50 (-11.0)#1,684
61. 14506 00:13:54 00:31:59 (-18.1)#61 00:24:50 (-10.9)#1,709
62. 13658 00:13:54 00:31:59 (-18.1)#62 00:24:50 (-10.9)#1,710
63. 14744 00:14:08 00:31:59 (-17.8)#63 00:24:50 (-10.7)#1,831
64. 13367 00:14:10 00:31:59 (-17.8)#64 00:24:50 (-10.7)#1,848
65. 12932 00:14:19 00:31:59 (-17.7)#65 00:24:50 (-10.5)#1,916
66. 12176 00:14:21 00:31:59 (-17.6)#66 00:24:50 (-10.5)#1,944
67. 14880 00:14:22 00:31:59 (-17.6)#67 00:24:50 (-10.5)#1,946
68. 13806 00:14:22 00:31:59 (-17.6)#68 00:24:50 (-10.5)#1,948
69. 14750 00:14:24 00:31:59 (-17.6)#69 00:24:50 (-10.4)#1,962
70. 14814 00:14:24 00:31:59 (-17.6)#70 00:24:50 (-10.4)#1,963
71. 14618 00:14:25 00:31:59 (-17.6)#71 00:24:50 (-10.4)#1,973
72. 13495 00:14:29 00:31:59 (-17.5)#72 00:24:50 (-10.3)#2,015
73. 13206 00:14:31 00:31:59 (-17.5)#73 00:24:50 (-10.3)#2,038
74. 14039 00:14:36 00:31:59 (-17.4)#74 00:24:50 (-10.2)#2,091
75. 13782 00:14:37 00:31:59 (-17.4)#75 00:24:50 (-10.2)#2,093
76. 12406 00:14:39 00:31:59 (-17.3)#76 00:24:50 (-10.2)#2,124
77. 13777 00:14:39 00:31:59 (-17.3)#77 00:24:50 (-10.2)#2,125
78. 14895 00:14:41 00:31:59 (-17.3)#78 00:24:50 (-10.1)#2,146
79. 13214 00:14:41 00:31:59 (-17.3)#79 00:24:50 (-10.1)#2,147
80. 14173 00:14:42 00:31:59 (-17.3)#80 00:24:50 (-10.1)#2,158
81. 13606 00:14:47 00:31:59 (-17.2)#81 00:24:50 (-10.0)#2,209
82. 13202 00:14:49 00:31:59 (-17.2)#82 00:24:50 (-10.0)#2,222
83. 13670 00:14:49 00:31:59 (-17.2)#83 00:24:50 (-10.0)#2,230
84. 13492 00:14:49 00:31:59 (-17.2)#84 00:24:50 (-10.0)#2,234
85. 12901 00:14:51 00:31:59 (-17.1)#85 00:24:50 (-9.99)#2,243
86. 13807 00:14:52 00:31:59 (-17.1)#86 00:24:50 (-9.97)#2,255
87. 11976 00:14:52 00:31:59 (-17.1)#87 00:24:50 (-9.96)#2,259
88. 14454 00:14:52 00:31:59 (-17.1)#88 00:24:50 (-9.96)#2,260
89. 13603 00:14:54 00:31:59 (-17.1)#89 00:24:50 (-9.93)#2,278
90. 13669 00:14:57 00:31:59 (-17.0)#90 00:24:50 (-9.89)#2,300
91. 14109 00:14:57 00:31:59 (-17.0)#91 00:24:50 (-9.88)#2,307
92. 14733 00:14:58 00:31:59 (-17.0)#92 00:24:50 (-9.86)#2,311
93. 13424 00:15:02 00:31:59 (-17.0)#93 00:24:50 (-9.80)#2,349
94. 14736 00:15:10 00:31:59 (-16.8)#94 00:24:50 (-9.66)#2,428
95. 13790 00:15:15 00:31:59 (-16.7)#95 00:24:50 (-9.58)#2,479
96. 14445 00:15:19 00:31:59 (-16.7)#96 00:24:50 (-9.52)#2,520
97. 12485 00:15:25 00:31:59 (-16.6)#97 00:24:50 (-9.41)#2,598
98. 13210 00:15:25 00:31:59 (-16.6)#98 00:24:50 (-9.41)#2,600
99. 13902 00:15:26 00:31:59 (-16.6)#99 00:24:50 (-9.41)#2,605
100. 13672 00:15:26 00:31:59 (-16.5)#100 00:24:50 (-9.40)#2,611

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in New York?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in New York are:
#1
00:04:02
#2
00:04:32
#3
00:05:14
#4
00:06:22
#5
00:07:41
#6
00:08:05
#7
00:08:11
#8
00:08:21
#9
00:08:49
#10
00:09:09
What zip code has the Shortest Median Commute Time to Work for Females in New York?
13420 has the Shortest Median Commute Time to Work for Females in New York with 00:04:02.
What is the Median Commute Time to Work for Females in the State of New York?
Median Commute Time to Work for Females in New York is 00:31:59.
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.