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

RELATED REPORTS & OPTIONS

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
1.1342000:04:0200:31:59(-27.9)#100:24:50(-20.8)#52
2.1273300:04:3200:31:59(-27.5)#200:24:50(-20.3)#75
3.1360200:05:1400:31:59(-26.7)#300:24:50(-19.6)#116
4.1216400:06:2200:31:59(-25.6)#400:24:50(-18.5)#187
5.1340400:07:4100:31:59(-24.3)#500:24:50(-17.1)#261
6.1453700:08:0500:31:59(-23.9)#600:24:50(-16.8)#296
7.1285200:08:1100:31:59(-23.8)#700:24:50(-16.7)#303
8.1294300:08:2100:31:59(-23.6)#800:24:50(-16.5)#319
9.1426000:08:4900:31:59(-23.2)#900:24:50(-16.0)#368
10.1336000:09:0900:31:59(-22.8)#1000:24:50(-15.7)#402
11.1451100:09:1900:31:59(-22.7)#1100:24:50(-15.5)#427
12.1311500:09:1900:31:59(-22.7)#1200:24:50(-15.5)#430
13.1287400:09:4600:31:59(-22.2)#1300:24:50(-15.1)#486
14.1260400:09:5600:31:59(-22.1)#1400:24:50(-14.9)#510
15.1250400:09:5700:31:59(-22.0)#1500:24:50(-14.9)#513
16.1461400:10:0000:31:59(-22.0)#1600:24:50(-14.8)#521
17.1242700:10:0200:31:59(-21.9)#1700:24:50(-14.8)#539
18.1361600:10:0900:31:59(-21.8)#1800:24:50(-14.7)#559
19.1099600:10:1700:31:59(-21.7)#1900:24:50(-14.5)#577
20.1197500:10:2800:31:59(-21.5)#2000:24:50(-14.4)#606
21.1284700:10:3800:31:59(-21.4)#2100:24:50(-14.2)#645
22.1154900:10:4300:31:59(-21.3)#2200:24:50(-14.1)#664
23.1462700:10:4700:31:59(-21.2)#2300:24:50(-14.0)#675
24.1369500:10:5000:31:59(-21.1)#2400:24:50(-14.0)#688
25.1361500:10:5700:31:59(-21.0)#2500:24:50(-13.9)#714
26.1477800:11:0400:31:59(-20.9)#2600:24:50(-13.8)#742
27.1334600:11:1000:31:59(-20.8)#2700:24:50(-13.7)#757
28.1310300:11:1500:31:59(-20.7)#2800:24:50(-13.6)#777
29.1243500:11:1800:31:59(-20.7)#2900:24:50(-13.5)#793
30.1240700:11:2500:31:59(-20.6)#3000:24:50(-13.4)#831
31.1201700:11:3000:31:59(-20.5)#3100:24:50(-13.3)#856
32.1369900:11:3200:31:59(-20.4)#3200:24:50(-13.3)#869
33.1488100:11:3500:31:59(-20.4)#3300:24:50(-13.3)#885
34.1244200:11:3900:31:59(-20.3)#3400:24:50(-13.2)#903
35.1311300:11:3900:31:59(-20.3)#3500:24:50(-13.2)#907
36.1448000:11:5300:31:59(-20.1)#3600:24:50(-13.0)#980
37.1331900:12:0000:31:59(-20.0)#3700:24:50(-12.8)#1,023
38.1485300:12:0000:31:59(-20.0)#3800:24:50(-12.8)#1,026
39.1480200:12:0100:31:59(-20.0)#3900:24:50(-12.8)#1,029
40.1210800:12:0200:31:59(-20.0)#4000:24:50(-12.8)#1,034
41.1294600:12:1400:31:59(-19.8)#4100:24:50(-12.6)#1,087
42.1381500:12:1900:31:59(-19.7)#4200:24:50(-12.5)#1,109
43.1243900:12:3600:31:59(-19.4)#4300:24:50(-12.2)#1,181
44.1365500:12:3700:31:59(-19.4)#4400:24:50(-12.2)#1,186
45.1220700:12:4200:31:59(-19.3)#4500:24:50(-12.1)#1,220
46.1404800:12:4500:31:59(-19.2)#4600:24:50(-12.1)#1,240
47.1245500:12:4700:31:59(-19.2)#4700:24:50(-12.0)#1,263
48.1290300:12:4800:31:59(-19.2)#4800:24:50(-12.0)#1,268
49.1426100:13:0500:31:59(-18.9)#4900:24:50(-11.7)#1,376
50.1345700:13:0700:31:59(-18.9)#5000:24:50(-11.7)#1,385
51.1298300:13:0700:31:59(-18.9)#5100:24:50(-11.7)#1,386
52.1324400:13:1100:31:59(-18.8)#5200:24:50(-11.6)#1,417
53.1361700:13:1600:31:59(-18.7)#5300:24:50(-11.6)#1,445
54.1298600:13:2700:31:59(-18.5)#5400:24:50(-11.4)#1,507
55.1343600:13:2800:31:59(-18.5)#5500:24:50(-11.4)#1,517
56.1219200:13:3800:31:59(-18.3)#5600:24:50(-11.2)#1,576
57.1308700:13:4500:31:59(-18.2)#5700:24:50(-11.1)#1,633
58.1275900:13:4800:31:59(-18.2)#5800:24:50(-11.0)#1,664
59.1484200:13:4900:31:59(-18.2)#5900:24:50(-11.0)#1,667
60.1222200:13:5100:31:59(-18.1)#6000:24:50(-11.0)#1,684
61.1450600:13:5400:31:59(-18.1)#6100:24:50(-10.9)#1,709
62.1365800:13:5400:31:59(-18.1)#6200:24:50(-10.9)#1,710
63.1474400:14:0800:31:59(-17.8)#6300:24:50(-10.7)#1,831
64.1336700:14:1000:31:59(-17.8)#6400:24:50(-10.7)#1,848
65.1293200:14:1900:31:59(-17.7)#6500:24:50(-10.5)#1,916
66.1217600:14:2100:31:59(-17.6)#6600:24:50(-10.5)#1,944
67.1488000:14:2200:31:59(-17.6)#6700:24:50(-10.5)#1,946
68.1380600:14:2200:31:59(-17.6)#6800:24:50(-10.5)#1,948
69.1475000:14:2400:31:59(-17.6)#6900:24:50(-10.4)#1,962
70.1481400:14:2400:31:59(-17.6)#7000:24:50(-10.4)#1,963
71.1461800:14:2500:31:59(-17.6)#7100:24:50(-10.4)#1,973
72.1349500:14:2900:31:59(-17.5)#7200:24:50(-10.3)#2,015
73.1320600:14:3100:31:59(-17.5)#7300:24:50(-10.3)#2,038
74.1403900:14:3600:31:59(-17.4)#7400:24:50(-10.2)#2,091
75.1378200:14:3700:31:59(-17.4)#7500:24:50(-10.2)#2,093
76.1240600:14:3900:31:59(-17.3)#7600:24:50(-10.2)#2,124
77.1377700:14:3900:31:59(-17.3)#7700:24:50(-10.2)#2,125
78.1489500:14:4100:31:59(-17.3)#7800:24:50(-10.1)#2,146
79.1321400:14:4100:31:59(-17.3)#7900:24:50(-10.1)#2,147
80.1417300:14:4200:31:59(-17.3)#8000:24:50(-10.1)#2,158
81.1360600:14:4700:31:59(-17.2)#8100:24:50(-10.0)#2,209
82.1320200:14:4900:31:59(-17.2)#8200:24:50(-10.0)#2,222
83.1367000:14:4900:31:59(-17.2)#8300:24:50(-10.0)#2,230
84.1349200:14:4900:31:59(-17.2)#8400:24:50(-10.0)#2,234
85.1290100:14:5100:31:59(-17.1)#8500:24:50(-9.99)#2,243
86.1380700:14:5200:31:59(-17.1)#8600:24:50(-9.97)#2,255
87.1197600:14:5200:31:59(-17.1)#8700:24:50(-9.96)#2,259
88.1445400:14:5200:31:59(-17.1)#8800:24:50(-9.96)#2,260
89.1360300:14:5400:31:59(-17.1)#8900:24:50(-9.93)#2,278
90.1366900:14:5700:31:59(-17.0)#9000:24:50(-9.89)#2,300
91.1410900:14:5700:31:59(-17.0)#9100:24:50(-9.88)#2,307
92.1473300:14:5800:31:59(-17.0)#9200:24:50(-9.86)#2,311
93.1342400:15:0200:31:59(-17.0)#9300:24:50(-9.80)#2,349
94.1473600:15:1000:31:59(-16.8)#9400:24:50(-9.66)#2,428
95.1379000:15:1500:31:59(-16.7)#9500:24:50(-9.58)#2,479
96.1444500:15:1900:31:59(-16.7)#9600:24:50(-9.52)#2,520
97.1248500:15:2500:31:59(-16.6)#9700:24:50(-9.41)#2,598
98.1321000:15:2500:31:59(-16.6)#9800:24:50(-9.41)#2,600
99.1390200:15:2600:31:59(-16.6)#9900:24:50(-9.41)#2,605
100.1367200:15:2600:31:59(-16.5)#10000:24:50(-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.