Zip Codes with the Shortest Median Commute Time to Work for Females in New York [ 101 - 200 ]

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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
101.1283800:15:2600:31:59(-16.5)#10100:24:50(-9.39)#2,615
102.1477900:15:3000:31:59(-16.5)#10200:24:50(-9.33)#2,658
103.1193200:15:3100:31:59(-16.5)#10300:24:50(-9.32)#2,665
104.1462300:15:3200:31:59(-16.5)#10400:24:50(-9.30)#2,672
105.1335000:15:3600:31:59(-16.4)#10500:24:50(-9.23)#2,713
106.1461000:15:4200:31:59(-16.3)#10600:24:50(-9.13)#2,784
107.1490500:15:4200:31:59(-16.3)#10700:24:50(-9.13)#2,788
108.1320700:15:4600:31:59(-16.2)#10800:24:50(-9.06)#2,840
109.1470100:15:5500:31:59(-16.1)#10900:24:50(-8.92)#2,957
110.1304500:15:5600:31:59(-16.0)#11000:24:50(-8.90)#2,972
111.1489200:15:5800:31:59(-16.0)#11100:24:50(-8.87)#2,992
112.1247300:15:5900:31:59(-16.0)#11200:24:50(-8.86)#3,007
113.1343300:16:0000:31:59(-16.0)#11300:24:50(-8.84)#3,027
114.1308800:16:0100:31:59(-16.0)#11400:24:50(-8.81)#3,049
115.1332300:16:0200:31:59(-16.0)#11500:24:50(-8.80)#3,054
116.1460700:16:0200:31:59(-16.0)#11600:24:50(-8.80)#3,055
117.1380400:16:0500:31:59(-15.9)#11700:24:50(-8.75)#3,100
118.1243200:16:0500:31:59(-15.9)#11800:24:50(-8.75)#3,104
119.1473800:16:0600:31:59(-15.9)#11900:24:50(-8.74)#3,108
120.1283600:16:0600:31:59(-15.9)#12000:24:50(-8.73)#3,117
121.1341500:16:0800:31:59(-15.9)#12100:24:50(-8.71)#3,133
122.1221100:16:0800:31:59(-15.8)#12200:24:50(-8.70)#3,140
123.1335400:16:0900:31:59(-15.8)#12300:24:50(-8.68)#3,150
124.1292900:16:0900:31:59(-15.8)#12400:24:50(-8.68)#3,152
125.1378000:16:1000:31:59(-15.8)#12500:24:50(-8.66)#3,177
126.1302600:16:1200:31:59(-15.8)#12600:24:50(-8.64)#3,188
127.1448900:16:1300:31:59(-15.8)#12700:24:50(-8.62)#3,202
128.1375000:16:1500:31:59(-15.7)#12800:24:50(-8.58)#3,237
129.1361200:16:2000:31:59(-15.6)#12900:24:50(-8.49)#3,310
130.1279200:16:2100:31:59(-15.6)#13000:24:50(-8.49)#3,312
131.1346800:16:2100:31:59(-15.6)#13100:24:50(-8.49)#3,314
132.1476000:16:2100:31:59(-15.6)#13200:24:50(-8.48)#3,319
133.1382000:16:2300:31:59(-15.6)#13300:24:50(-8.46)#3,335
134.1470600:16:2300:31:59(-15.6)#13400:24:50(-8.45)#3,343
135.1472000:16:2500:31:59(-15.6)#13500:24:50(-8.41)#3,378
136.1349000:16:2600:31:59(-15.6)#13600:24:50(-8.40)#3,388
137.1294200:16:2800:31:59(-15.5)#13700:24:50(-8.36)#3,445
138.1360100:16:2900:31:59(-15.5)#13800:24:50(-8.36)#3,449
139.1462000:16:2900:31:59(-15.5)#13900:24:50(-8.34)#3,463
140.1275100:16:3100:31:59(-15.5)#14000:24:50(-8.32)#3,497
141.1350200:16:3200:31:59(-15.4)#14100:24:50(-8.30)#3,512
142.1477400:16:3200:31:59(-15.4)#14200:24:50(-8.29)#3,515
143.1196200:16:3300:31:59(-15.4)#14300:24:50(-8.28)#3,521
144.1244400:16:3400:31:59(-15.4)#14400:24:50(-8.27)#3,534
145.1293700:16:3500:31:59(-15.4)#14500:24:50(-8.26)#3,545
146.1446700:16:3500:31:59(-15.4)#14600:24:50(-8.25)#3,548
147.1471600:16:3500:31:59(-15.4)#14700:24:50(-8.25)#3,549
148.1292100:16:3600:31:59(-15.4)#14800:24:50(-8.24)#3,570
149.1461100:16:3600:31:59(-15.4)#14900:24:50(-8.24)#3,571
150.1270100:16:3700:31:59(-15.4)#15000:24:50(-8.21)#3,596
151.1376000:16:3900:31:59(-15.3)#15100:24:50(-8.18)#3,619
152.1248200:16:4000:31:59(-15.3)#15200:24:50(-8.16)#3,645
153.1402000:16:4100:31:59(-15.3)#15300:24:50(-8.15)#3,654
154.1305700:16:4200:31:59(-15.3)#15400:24:50(-8.13)#3,667
155.1340800:16:4200:31:59(-15.3)#15500:24:50(-8.13)#3,677
156.1420200:16:4300:31:59(-15.3)#15600:24:50(-8.11)#3,693
157.1420300:16:4400:31:59(-15.2)#15700:24:50(-8.10)#3,703
158.1363700:16:4600:31:59(-15.2)#15800:24:50(-8.07)#3,723
159.1314800:16:4700:31:59(-15.2)#15900:24:50(-8.05)#3,748
160.1320800:16:5000:31:59(-15.1)#16000:24:50(-8.00)#3,805
161.1342100:16:5200:31:59(-15.1)#16100:24:50(-7.96)#3,831
162.1374400:16:5300:31:59(-15.1)#16200:24:50(-7.95)#3,848
163.1455700:16:5400:31:59(-15.1)#16300:24:50(-7.93)#3,871
164.1476900:16:5600:31:59(-15.1)#16400:24:50(-7.90)#3,897
165.1490100:16:5600:31:59(-15.0)#16500:24:50(-7.89)#3,906
166.1220300:16:5700:31:59(-15.0)#16600:24:50(-7.89)#3,910
167.1314500:17:0200:31:59(-15.0)#16700:24:50(-7.81)#3,988
168.1350100:17:0200:31:59(-14.9)#16800:24:50(-7.80)#3,994
169.1478100:17:0300:31:59(-14.9)#16900:24:50(-7.79)#4,008
170.1285500:17:0400:31:59(-14.9)#17000:24:50(-7.77)#4,025
171.1487000:17:0500:31:59(-14.9)#17100:24:50(-7.76)#4,036
172.1483000:17:0600:31:59(-14.9)#17200:24:50(-7.74)#4,052
173.1213900:17:0600:31:59(-14.9)#17300:24:50(-7.73)#4,059
174.1445600:17:0700:31:59(-14.9)#17400:24:50(-7.72)#4,077
175.1489100:17:0800:31:59(-14.9)#17500:24:50(-7.70)#4,089
176.1220800:17:1000:31:59(-14.8)#17600:24:50(-7.66)#4,134
177.1480300:17:1400:31:59(-14.8)#17700:24:50(-7.60)#4,189
178.1374800:17:1400:31:59(-14.7)#17800:24:50(-7.59)#4,194
179.1422600:17:1400:31:59(-14.7)#17900:24:50(-7.59)#4,195
180.1053500:17:1600:31:59(-14.7)#18000:24:50(-7.57)#4,221
181.1244900:17:1700:31:59(-14.7)#18100:24:50(-7.54)#4,250
182.1430100:17:1800:31:59(-14.7)#18200:24:50(-7.54)#4,256
183.1208600:17:1800:31:59(-14.7)#18300:24:50(-7.53)#4,259
184.1422200:17:1800:31:59(-14.7)#18400:24:50(-7.53)#4,264
185.1486500:17:1900:31:59(-14.7)#18500:24:50(-7.52)#4,272
186.1341000:17:1900:31:59(-14.7)#18600:24:50(-7.51)#4,281
187.1295300:17:2300:31:59(-14.6)#18700:24:50(-7.45)#4,341
188.1333200:17:2500:31:59(-14.6)#18800:24:50(-7.42)#4,369
189.1312600:17:2500:31:59(-14.6)#18900:24:50(-7.41)#4,381
190.1484500:17:2600:31:59(-14.6)#19000:24:50(-7.40)#4,389
191.1341300:17:2700:31:59(-14.5)#19100:24:50(-7.39)#4,402
192.1367600:17:2700:31:59(-14.5)#19200:24:50(-7.38)#4,410
193.1453300:17:2700:31:59(-14.5)#19300:24:50(-7.38)#4,414
194.1385600:17:2800:31:59(-14.5)#19400:24:50(-7.37)#4,418
195.1320500:17:2900:31:59(-14.5)#19500:24:50(-7.36)#4,434
196.1335700:17:2900:31:59(-14.5)#19600:24:50(-7.35)#4,437
197.1430300:17:3000:31:59(-14.5)#19700:24:50(-7.33)#4,469
198.1478400:17:3100:31:59(-14.5)#19800:24:50(-7.32)#4,472
199.1461900:17:3300:31:59(-14.4)#19900:24:50(-7.28)#4,513
200.1332600:17:3500:31:59(-14.4)#20000:24:50(-7.26)#4,540