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

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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
New York
Compare Zip Codes
Comparison Subject

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

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

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

Zip Code Commute Time vs State vs National
1.1336401:55:3800:31:59(+83.7)#100:24:50(+90.8)#5
2.1248001:37:2300:31:59(+65.4)#200:24:50(+72.5)#10
3.1375101:23:1400:31:59(+51.3)#300:24:50(+58.4)#19
4.1273401:10:5600:31:59(+38.9)#400:24:50(+46.1)#42
5.1331201:09:4300:31:59(+37.7)#500:24:50(+44.9)#49
6.1097501:09:4000:31:59(+37.7)#600:24:50(+44.8)#50
7.1214701:00:2200:31:59(+28.4)#700:24:50(+35.5)#98
8.1386300:58:5600:31:59(+27.0)#800:24:50(+34.1)#111
9.1242400:58:5300:31:59(+26.9)#900:24:50(+34.0)#112
10.1169200:55:2700:31:59(+23.5)#1000:24:50(+30.6)#147
11.1219000:54:5600:31:59(+23.0)#1100:24:50(+30.1)#155
12.1369300:54:5100:31:59(+22.9)#1200:24:50(+30.0)#157
13.1053700:54:1000:31:59(+22.2)#1300:24:50(+29.3)#170
14.1047500:54:0300:31:59(+22.1)#1400:24:50(+29.2)#173
15.1123900:53:1200:31:59(+21.2)#1500:24:50(+28.4)#195
16.1411300:52:3800:31:59(+20.7)#1600:24:50(+27.8)#205
17.1123600:51:4100:31:59(+19.7)#1700:24:50(+26.8)#219
18.1333100:51:1100:31:59(+19.2)#1800:24:50(+26.3)#232
19.1142200:50:5800:31:59(+19.0)#1900:24:50(+26.1)#243
20.1284100:50:4900:31:59(+18.8)#2000:24:50(+26.0)#247
21.1278600:50:4900:31:59(+18.8)#2100:24:50(+26.0)#248
22.1003400:50:4500:31:59(+18.8)#2200:24:50(+25.9)#251
23.1193000:50:3700:31:59(+18.6)#2300:24:50(+25.8)#257
24.1143600:50:1700:31:59(+18.3)#2400:24:50(+25.5)#267
25.1121200:50:1300:31:59(+18.2)#2500:24:50(+25.4)#269
26.1481800:49:3500:31:59(+17.6)#2600:24:50(+24.7)#285
27.1209300:49:3400:31:59(+17.6)#2700:24:50(+24.7)#287
28.1141200:49:1300:31:59(+17.2)#2800:24:50(+24.4)#301
29.1143300:49:0400:31:59(+17.1)#2900:24:50(+24.2)#310
30.1141100:49:0300:31:59(+17.1)#3000:24:50(+24.2)#312
31.1142700:49:0200:31:59(+17.0)#3100:24:50(+24.2)#313
32.1120700:48:3700:31:59(+16.6)#3200:24:50(+23.8)#328
33.1046400:48:2700:31:59(+16.5)#3300:24:50(+23.6)#334
34.1122400:48:2700:31:59(+16.5)#3400:24:50(+23.6)#335
35.1123400:48:0500:31:59(+16.1)#3500:24:50(+23.2)#347
36.1143400:48:0000:31:59(+16.0)#3600:24:50(+23.2)#350
37.1141900:47:5700:31:59(+16.0)#3700:24:50(+23.1)#352
38.1136300:47:5600:31:59(+15.9)#3800:24:50(+23.1)#354
39.1142900:47:3600:31:59(+15.6)#3900:24:50(+22.8)#365
40.1304200:47:3500:31:59(+15.6)#4000:24:50(+22.8)#367
41.1195600:47:3400:31:59(+15.6)#4100:24:50(+22.7)#368
42.1122900:47:2600:31:59(+15.5)#4200:24:50(+22.6)#377
43.1348300:47:1300:31:59(+15.2)#4300:24:50(+22.4)#385
44.1141700:46:5600:31:59(+15.0)#4400:24:50(+22.1)#399
45.1052600:46:5300:31:59(+14.9)#4500:24:50(+22.0)#402
46.1122600:46:5200:31:59(+14.9)#4600:24:50(+22.0)#404
47.1120300:46:4900:31:59(+14.8)#4700:24:50(+22.0)#405
48.1121000:46:4000:31:59(+14.7)#4800:24:50(+21.8)#417
49.1142000:46:3800:31:59(+14.7)#4900:24:50(+21.8)#423
50.1030300:46:3800:31:59(+14.6)#5000:24:50(+21.8)#425
51.1340600:46:3300:31:59(+14.6)#5100:24:50(+21.7)#431
52.1361400:46:2700:31:59(+14.5)#5200:24:50(+21.6)#434
53.1047400:46:2700:31:59(+14.5)#5300:24:50(+21.6)#435
54.1136700:46:2000:31:59(+14.4)#5400:24:50(+21.5)#441
55.1047000:46:0800:31:59(+14.2)#5500:24:50(+21.3)#449
56.1135600:46:0700:31:59(+14.1)#5600:24:50(+21.3)#450
57.1120800:45:5800:31:59(+14.0)#5700:24:50(+21.1)#456
58.1046800:45:5700:31:59(+14.0)#5800:24:50(+21.1)#457
59.1136900:45:5300:31:59(+13.9)#5900:24:50(+21.0)#461
60.1150900:45:5000:31:59(+13.8)#6000:24:50(+21.0)#462
61.1046200:45:4900:31:59(+13.8)#6100:24:50(+21.0)#465
62.1047300:45:4600:31:59(+13.8)#6200:24:50(+20.9)#467
63.1045700:45:4500:31:59(+13.8)#6300:24:50(+20.9)#468
64.1142300:45:4500:31:59(+13.8)#6400:24:50(+20.9)#469
65.1142800:45:4100:31:59(+13.7)#6500:24:50(+20.8)#471
66.1056000:45:3600:31:59(+13.6)#6600:24:50(+20.8)#473
67.1137500:45:3000:31:59(+13.5)#6700:24:50(+20.7)#482
68.1249200:45:2400:31:59(+13.4)#6800:24:50(+20.6)#484
69.1030400:45:2400:31:59(+13.4)#6900:24:50(+20.6)#485
70.1273200:45:2300:31:59(+13.4)#7000:24:50(+20.5)#486
71.1141300:45:1600:31:59(+13.3)#7100:24:50(+20.4)#495
72.1484100:45:1500:31:59(+13.3)#7200:24:50(+20.4)#496
73.1045300:45:0800:31:59(+13.1)#7300:24:50(+20.3)#504
74.1137400:45:0600:31:59(+13.1)#7400:24:50(+20.3)#508
75.1121300:45:0500:31:59(+13.1)#7500:24:50(+20.2)#509
76.1046700:45:0000:31:59(+13.0)#7600:24:50(+20.2)#514
77.1121400:44:5600:31:59(+12.9)#7700:24:50(+20.1)#525
78.1141800:44:5500:31:59(+12.9)#7800:24:50(+20.1)#526
79.1047100:44:4500:31:59(+12.8)#7900:24:50(+19.9)#537
80.1045800:44:3900:31:59(+12.7)#8000:24:50(+19.8)#544
81.1030500:44:3100:31:59(+12.5)#8100:24:50(+19.7)#553
82.1242100:44:3100:31:59(+12.5)#8200:24:50(+19.7)#554
83.1137900:44:3000:31:59(+12.5)#8300:24:50(+19.7)#558
84.1046900:44:2600:31:59(+12.5)#8400:24:50(+19.6)#563
85.1143500:44:2600:31:59(+12.5)#8500:24:50(+19.6)#564
86.1046000:44:2400:31:59(+12.4)#8600:24:50(+19.6)#568
87.1143200:44:2200:31:59(+12.4)#8700:24:50(+19.5)#574
88.1142100:44:1500:31:59(+12.3)#8800:24:50(+19.4)#582
89.1045200:44:0200:31:59(+12.0)#8900:24:50(+19.2)#602
90.1046300:44:0000:31:59(+12.0)#9000:24:50(+19.2)#605
91.1091700:43:5300:31:59(+11.9)#9100:24:50(+19.0)#617
92.1120900:43:5100:31:59(+11.9)#9200:24:50(+19.0)#619
93.1096800:43:5000:31:59(+11.9)#9300:24:50(+19.0)#620
94.1122100:43:4600:31:59(+11.8)#9400:24:50(+18.9)#626
95.1203100:43:4100:31:59(+11.7)#9500:24:50(+18.8)#633
96.1138500:43:4000:31:59(+11.7)#9600:24:50(+18.8)#635
97.1141600:43:4000:31:59(+11.7)#9700:24:50(+18.8)#637
98.1110300:43:3500:31:59(+11.6)#9800:24:50(+18.8)#643
99.1135800:43:3400:31:59(+11.6)#9900:24:50(+18.7)#645
100.1155900:43:2400:31:59(+11.4)#10000:24:50(+18.6)#661

Common Questions

What are the Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in New York?
Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in New York are:
#1
01:55:38
#2
01:37:23
#3
01:23:14
#4
01:10:56
#5
01:09:43
#6
01:09:40
#7
01:00:22
#8
00:58:56
#9
00:58:53
#10
00:55:27
What zip code has the Longest Median Commute Time to Work for Females in New York?
13364 has the Longest Median Commute Time to Work for Females in New York with 01:55:38.
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.