Zip Codes with the Shortest Median Commute Time to Work in Maryland [ 301 - 400 ]

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Shortest Commute
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
Maryland
Compare Zip Codes
Comparison Subject

Zip Codes with the Shortest Median Commute Time to Work in Maryland

Zip Code Commute Time vs State vs National
301.2178700:35:2400:31:59(+3.42)#30100:26:39(+8.74)#27,060
302.2103700:35:2400:31:59(+3.43)#30200:26:39(+8.75)#27,067
303.2161200:35:2900:31:59(+3.50)#30300:26:39(+8.82)#27,114
304.2175700:35:3200:31:59(+3.56)#30400:26:39(+8.89)#27,154
305.2072200:35:3500:31:59(+3.60)#30500:26:39(+8.93)#27,182
306.2115400:35:5000:31:59(+3.86)#30600:26:39(+9.18)#27,325
307.2077600:35:5800:31:59(+3.99)#30700:26:39(+9.31)#27,389
308.2171800:36:0000:31:59(+4.01)#30800:26:39(+9.34)#27,403
309.2177300:36:0000:31:59(+4.03)#30900:26:39(+9.35)#27,410
310.2191900:36:0100:31:59(+4.03)#31000:26:39(+9.36)#27,415
311.2161700:36:0200:31:59(+4.06)#31100:26:39(+9.38)#27,426
312.2162300:36:0400:31:59(+4.09)#31200:26:39(+9.41)#27,439
313.2177100:36:1100:31:59(+4.20)#31300:26:39(+9.53)#27,519
314.2177000:36:1200:31:59(+4.23)#31400:26:39(+9.55)#27,529
315.2191800:36:1500:31:59(+4.26)#31500:26:39(+9.59)#27,541
316.2178400:36:1800:31:59(+4.32)#31600:26:39(+9.65)#27,587
317.2105300:36:1900:31:59(+4.34)#31700:26:39(+9.66)#27,597
318.2074500:36:2100:31:59(+4.38)#31800:26:39(+9.70)#27,619
319.2078300:36:2200:31:59(+4.38)#31900:26:39(+9.71)#27,623
320.2171000:36:2200:31:59(+4.39)#32000:26:39(+9.72)#27,630
321.2086600:36:2300:31:59(+4.40)#32100:26:39(+9.73)#27,634
322.2072000:36:2500:31:59(+4.44)#32200:26:39(+9.77)#27,662
323.2160700:36:2700:31:59(+4.47)#32300:26:39(+9.79)#27,679
324.2173800:36:2800:31:59(+4.48)#32400:26:39(+9.80)#27,686
325.2074300:36:2900:31:59(+4.50)#32500:26:39(+9.82)#27,699
326.2077700:36:3600:31:59(+4.62)#32600:26:39(+9.94)#27,753
327.2175000:36:3700:31:59(+4.63)#32700:26:39(+9.96)#27,766
328.2115800:36:3700:31:59(+4.63)#32800:26:39(+9.96)#27,768
329.2071100:36:3900:31:59(+4.67)#32900:26:39(+10.00)#27,794
330.2067500:36:4000:31:59(+4.69)#33000:26:39(+10.0)#27,802
331.2191200:36:4700:31:59(+4.81)#33100:26:39(+10.1)#27,858
332.2061700:36:5100:31:59(+4.87)#33200:26:39(+10.2)#27,882
333.2071600:36:5300:31:59(+4.91)#33300:26:39(+10.2)#27,904
334.2074800:36:5500:31:59(+4.94)#33400:26:39(+10.3)#27,921
335.2072100:36:5700:31:59(+4.96)#33500:26:39(+10.3)#27,927
336.2076900:37:0300:31:59(+5.07)#33600:26:39(+10.4)#27,978
337.2179100:37:1300:31:59(+5.24)#33700:26:39(+10.6)#28,064
338.2170400:37:1600:31:59(+5.28)#33800:26:39(+10.6)#28,082
339.2068700:37:3000:31:59(+5.51)#33900:26:39(+10.8)#28,184
340.2071000:37:3100:31:59(+5.53)#34000:26:39(+10.9)#28,193
341.2061100:37:3300:31:59(+5.57)#34100:26:39(+10.9)#28,210
342.2163800:37:3800:31:59(+5.65)#34200:26:39(+11.0)#28,242
343.2088200:37:4000:31:59(+5.69)#34300:26:39(+11.0)#28,261
344.2154300:37:4300:31:59(+5.74)#34400:26:39(+11.1)#28,279
345.2173300:37:4600:31:59(+5.79)#34500:26:39(+11.1)#28,309
346.2077400:37:4600:31:59(+5.79)#34600:26:39(+11.1)#28,312
347.2177900:37:5200:31:59(+5.89)#34700:26:39(+11.2)#28,352
348.2101300:37:5600:31:59(+5.96)#34800:26:39(+11.3)#28,372
349.2153100:38:0000:31:59(+6.02)#34900:26:39(+11.3)#28,407
350.2087200:38:0100:31:59(+6.04)#35000:26:39(+11.4)#28,414
351.2166000:38:0400:31:59(+6.09)#35100:26:39(+11.4)#28,433
352.2067700:38:0600:31:59(+6.12)#35200:26:39(+11.4)#28,441
353.2075800:38:0900:31:59(+6.17)#35300:26:39(+11.5)#28,466
354.2073500:38:1300:31:59(+6.23)#35400:26:39(+11.6)#28,486
355.2074600:38:1400:31:59(+6.26)#35500:26:39(+11.6)#28,497
356.2075100:38:2300:31:59(+6.40)#35600:26:39(+11.7)#28,552
357.2064600:38:2800:31:59(+6.49)#35700:26:39(+11.8)#28,587
358.2177400:38:2900:31:59(+6.50)#35800:26:39(+11.8)#28,589
359.2083700:38:2900:31:59(+6.51)#35900:26:39(+11.8)#28,598
360.2113200:38:3200:31:59(+6.54)#36000:26:39(+11.9)#28,606
361.2110200:38:3600:31:59(+6.63)#36100:26:39(+12.0)#28,630
362.2062600:38:3900:31:59(+6.67)#36200:26:39(+12.0)#28,647
363.2171900:38:4000:31:59(+6.68)#36300:26:39(+12.0)#28,653
364.2172300:38:4000:31:59(+6.68)#36400:26:39(+12.0)#28,654
365.2116000:38:4700:31:59(+6.81)#36500:26:39(+12.1)#28,698
366.2191400:38:4900:31:59(+6.84)#36600:26:39(+12.2)#28,707
367.2086800:38:5000:31:59(+6.85)#36700:26:39(+12.2)#28,713
368.2073600:38:5100:31:59(+6.87)#36800:26:39(+12.2)#28,715
369.2178200:38:5200:31:59(+6.89)#36900:26:39(+12.2)#28,725
370.2175400:39:0600:31:59(+7.11)#37000:26:39(+12.4)#28,795
371.2177600:39:1800:31:59(+7.33)#37100:26:39(+12.7)#28,877
372.2108400:39:2600:31:59(+7.46)#37200:26:39(+12.8)#28,909
373.2074400:39:3200:31:59(+7.56)#37300:26:39(+12.9)#28,950
374.2171600:39:3400:31:59(+7.58)#37400:26:39(+12.9)#28,957
375.2074700:39:3700:31:59(+7.64)#37500:26:39(+13.0)#28,977
376.2116100:39:3900:31:59(+7.66)#37600:26:39(+13.0)#28,981
377.2184100:39:5100:31:59(+7.86)#37700:26:39(+13.2)#29,039
378.2077200:39:5400:31:59(+7.91)#37800:26:39(+13.2)#29,053
379.2104800:40:0200:31:59(+8.06)#37900:26:39(+13.4)#29,078
380.2175800:40:0900:31:59(+8.17)#38000:26:39(+13.5)#29,104
381.2068500:40:1300:31:59(+8.23)#38100:26:39(+13.6)#29,118
382.2077800:40:2000:31:59(+8.35)#38200:26:39(+13.7)#29,145
383.2065700:40:2400:31:59(+8.42)#38300:26:39(+13.7)#29,171
384.2179700:40:2800:31:59(+8.49)#38400:26:39(+13.8)#29,190
385.2084200:40:3200:31:59(+8.55)#38500:26:39(+13.9)#29,202
386.2165800:40:3700:31:59(+8.63)#38600:26:39(+14.0)#29,221
387.2071400:40:4300:31:59(+8.73)#38700:26:39(+14.1)#29,244
388.2167900:40:4800:31:59(+8.82)#38800:26:39(+14.1)#29,273
389.2083800:40:5300:31:59(+8.90)#38900:26:39(+14.2)#29,293
390.2086000:41:0900:31:59(+9.17)#39000:26:39(+14.5)#29,338
391.2067800:41:1000:31:59(+9.19)#39100:26:39(+14.5)#29,347
392.2061300:41:1900:31:59(+9.34)#39200:26:39(+14.7)#29,375
393.2076500:41:2600:31:59(+9.45)#39300:26:39(+14.8)#29,394
394.2076400:41:5500:31:59(+9.93)#39400:26:39(+15.3)#29,482
395.2063900:42:1200:31:59(+10.2)#39500:26:39(+15.5)#29,525
396.2065900:42:1200:31:59(+10.2)#39600:26:39(+15.5)#29,526
397.2165100:42:3600:31:59(+10.6)#39700:26:39(+15.9)#29,596
398.2062400:42:3900:31:59(+10.7)#39800:26:39(+16.0)#29,605
399.2060200:42:4100:31:59(+10.7)#39900:26:39(+16.0)#29,608
400.2063700:43:1800:31:59(+11.3)#40000:26:39(+16.6)#29,718