Zip Codes with the Shortest Median Commute Time to Work for Females in New York [ 801 - 900 ]

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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

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

Zip Code Commute Time vs State vs National
801.1254300:25:2200:31:59(-6.61)#80100:24:50(+0.541)#17,795
802.1094100:25:2300:31:59(-6.59)#80200:24:50(+0.554)#17,819
803.1447600:25:2400:31:59(-6.59)#80300:24:50(+0.563)#17,838
804.1316200:25:2500:31:59(-6.56)#80400:24:50(+0.589)#17,893
805.1486700:25:2700:31:59(-6.54)#80500:24:50(+0.609)#17,939
806.1206700:25:2700:31:59(-6.54)#80600:24:50(+0.611)#17,943
807.1274000:25:2800:31:59(-6.51)#80700:24:50(+0.636)#18,012
808.1291300:25:2900:31:59(-6.51)#80800:24:50(+0.642)#18,018
809.1367900:25:2900:31:59(-6.50)#80900:24:50(+0.651)#18,035
810.1471200:25:2900:31:59(-6.49)#81000:24:50(+0.654)#18,041
811.1257500:25:3100:31:59(-6.47)#81100:24:50(+0.681)#18,088
812.1060400:25:3100:31:59(-6.47)#81200:24:50(+0.683)#18,095
813.1316300:25:3300:31:59(-6.44)#81300:24:50(+0.714)#18,150
814.1096300:25:3300:31:59(-6.43)#81400:24:50(+0.720)#18,158
815.1299700:25:3400:31:59(-6.42)#81500:24:50(+0.725)#18,167
816.1099800:25:3400:31:59(-6.42)#81600:24:50(+0.728)#18,176
817.1362400:25:3400:31:59(-6.42)#81700:24:50(+0.732)#18,185
818.1288300:25:3500:31:59(-6.39)#81800:24:50(+0.757)#18,223
819.1331600:25:3600:31:59(-6.38)#81900:24:50(+0.765)#18,235
820.1363300:25:3600:31:59(-6.38)#82000:24:50(+0.768)#18,241
821.1400400:25:3700:31:59(-6.37)#82100:24:50(+0.783)#18,269
822.1446200:25:3900:31:59(-6.34)#82200:24:50(+0.811)#18,308
823.1413200:25:4000:31:59(-6.31)#82300:24:50(+0.834)#18,348
824.1373400:25:4000:31:59(-6.31)#82400:24:50(+0.837)#18,353
825.1202700:25:4000:31:59(-6.31)#82500:24:50(+0.840)#18,358
826.1455500:25:4100:31:59(-6.29)#82600:24:50(+0.856)#18,387
827.1174200:25:4300:31:59(-6.27)#82700:24:50(+0.875)#18,418
828.1001400:25:4500:31:59(-6.24)#82800:24:50(+0.908)#18,479
829.1151600:25:4700:31:59(-6.21)#82900:24:50(+0.941)#18,528
830.1172000:25:4700:31:59(-6.20)#83000:24:50(+0.948)#18,542
831.1001100:25:4800:31:59(-6.17)#83100:24:50(+0.975)#18,584
832.1179600:25:5100:31:59(-6.14)#83200:24:50(+1.01)#18,652
833.1383800:25:5100:31:59(-6.14)#83300:24:50(+1.01)#18,656
834.1202800:25:5100:31:59(-6.13)#83400:24:50(+1.02)#18,668
835.1384900:25:5200:31:59(-6.11)#83500:24:50(+1.04)#18,693
836.1059500:25:5300:31:59(-6.09)#83600:24:50(+1.06)#18,727
837.1298100:25:5400:31:59(-6.09)#83700:24:50(+1.06)#18,734
838.1341800:25:5400:31:59(-6.08)#83800:24:50(+1.07)#18,748
839.1054300:25:5500:31:59(-6.07)#83900:24:50(+1.08)#18,759
840.1274700:25:5500:31:59(-6.06)#84000:24:50(+1.09)#18,777
841.1211600:25:5500:31:59(-6.06)#84100:24:50(+1.09)#18,778
842.1170600:25:5800:31:59(-6.02)#84200:24:50(+1.13)#18,843
843.1211800:25:5800:31:59(-6.02)#84300:24:50(+1.13)#18,855
844.1347600:25:5800:31:59(-6.01)#84400:24:50(+1.14)#18,857
845.1213800:25:5900:31:59(-5.99)#84500:24:50(+1.16)#18,884
846.1448700:26:0000:31:59(-5.99)#84600:24:50(+1.16)#18,888
847.1258100:26:0100:31:59(-5.97)#84700:24:50(+1.18)#18,935
848.1307100:26:0100:31:59(-5.96)#84800:24:50(+1.19)#18,941
849.1383900:26:0200:31:59(-5.95)#84900:24:50(+1.20)#18,960
850.1285000:26:0200:31:59(-5.95)#85000:24:50(+1.20)#18,973
851.1413100:26:0200:31:59(-5.95)#85100:24:50(+1.20)#18,974
852.1193300:26:0300:31:59(-5.93)#85200:24:50(+1.22)#19,000
853.1332900:26:0400:31:59(-5.91)#85300:24:50(+1.24)#19,032
854.1275200:26:0500:31:59(-5.90)#85400:24:50(+1.25)#19,046
855.1366400:26:0600:31:59(-5.89)#85500:24:50(+1.26)#19,063
856.1213100:26:0800:31:59(-5.85)#85600:24:50(+1.30)#19,137
857.1178800:26:0800:31:59(-5.85)#85700:24:50(+1.30)#19,143
858.1254800:26:0900:31:59(-5.83)#85800:24:50(+1.31)#19,164
859.1482200:26:1000:31:59(-5.82)#85900:24:50(+1.33)#19,182
860.1315900:26:1000:31:59(-5.82)#86000:24:50(+1.33)#19,189
861.1307300:26:1200:31:59(-5.78)#86100:24:50(+1.37)#19,260
862.1480500:26:1400:31:59(-5.76)#86200:24:50(+1.39)#19,306
863.1487300:26:1500:31:59(-5.74)#86300:24:50(+1.41)#19,332
864.1334000:26:1600:31:59(-5.72)#86400:24:50(+1.43)#19,368
865.1050100:26:1800:31:59(-5.69)#86500:24:50(+1.46)#19,429
866.1249800:26:1900:31:59(-5.67)#86600:24:50(+1.48)#19,473
867.1450500:26:2000:31:59(-5.65)#86700:24:50(+1.50)#19,496
868.1291400:26:2000:31:59(-5.65)#86800:24:50(+1.50)#19,504
869.1179000:26:2000:31:59(-5.64)#86900:24:50(+1.50)#19,506
870.1459000:26:2100:31:59(-5.64)#87000:24:50(+1.51)#19,513
871.1001300:26:2100:31:59(-5.64)#87100:24:50(+1.51)#19,516
872.1331800:26:2100:31:59(-5.64)#87200:24:50(+1.51)#19,520
873.1196800:26:2100:31:59(-5.63)#87300:24:50(+1.52)#19,533
874.1060300:26:2100:31:59(-5.63)#87400:24:50(+1.52)#19,537
875.1348600:26:2300:31:59(-5.59)#87500:24:50(+1.56)#19,570
876.1200900:26:2400:31:59(-5.59)#87600:24:50(+1.56)#19,578
877.1311800:26:2400:31:59(-5.58)#87700:24:50(+1.57)#19,589
878.1060700:26:2500:31:59(-5.56)#87800:24:50(+1.59)#19,624
879.1194400:26:2600:31:59(-5.55)#87900:24:50(+1.60)#19,651
880.1379600:26:2800:31:59(-5.52)#88000:24:50(+1.63)#19,704
881.1293600:26:3000:31:59(-5.48)#88100:24:50(+1.67)#19,756
882.1092700:26:3000:31:59(-5.48)#88200:24:50(+1.67)#19,758
883.1217300:26:3100:31:59(-5.47)#88300:24:50(+1.68)#19,774
884.1314700:26:3100:31:59(-5.47)#88400:24:50(+1.68)#19,779
885.1400100:26:3100:31:59(-5.46)#88500:24:50(+1.69)#19,783
886.1193900:26:3100:31:59(-5.46)#88600:24:50(+1.69)#19,784
887.1258600:26:3200:31:59(-5.45)#88700:24:50(+1.69)#19,793
888.1250700:26:3200:31:59(-5.45)#88800:24:50(+1.70)#19,797
889.1349300:26:3300:31:59(-5.44)#88900:24:50(+1.71)#19,814
890.1193400:26:3300:31:59(-5.43)#89000:24:50(+1.72)#19,826
891.1343900:26:3400:31:59(-5.41)#89100:24:50(+1.74)#19,847
892.1295900:26:3700:31:59(-5.36)#89200:24:50(+1.78)#19,918
893.1410500:26:3700:31:59(-5.36)#89300:24:50(+1.79)#19,922
894.1171800:26:3700:31:59(-5.36)#89400:24:50(+1.79)#19,929
895.1205700:26:3800:31:59(-5.35)#89500:24:50(+1.80)#19,938
896.1472100:26:3900:31:59(-5.32)#89600:24:50(+1.82)#19,987
897.1373000:26:4000:31:59(-5.32)#89700:24:50(+1.83)#19,994
898.1451200:26:4000:31:59(-5.32)#89800:24:50(+1.83)#19,995
899.1207200:26:4000:31:59(-5.31)#89900:24:50(+1.84)#20,011
900.1176900:26:4000:31:59(-5.31)#90000:24:50(+1.84)#20,016