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

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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
Maryland
Compare Zip Codes
Comparison Subject

Map of Zip Codes with the Shortest Median Commute Time to Work for Females in Maryland

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

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

Zip Code Commute Time vs State vs National
1.2088900:05:5200:30:12(-24.3)#100:24:50(-19.0)#156
2.2125100:07:4400:30:12(-22.5)#200:24:50(-17.1)#264
3.2140200:08:3800:30:12(-21.6)#300:24:50(-16.2)#351
4.2074200:10:4200:30:12(-19.5)#400:24:50(-14.1)#661
5.2068000:10:5800:30:12(-19.2)#500:24:50(-13.9)#716
6.2162400:11:4200:30:12(-18.5)#600:24:50(-13.1)#920
7.2171400:11:5800:30:12(-18.2)#700:24:50(-12.9)#1,011
8.2068400:13:4200:30:12(-16.5)#800:24:50(-11.1)#1,606
9.2125200:14:1800:30:12(-15.9)#900:24:50(-10.5)#1,910
10.2083800:14:2100:30:12(-15.8)#1000:24:50(-10.5)#1,931
11.2173400:14:2500:30:12(-15.8)#1100:24:50(-10.4)#1,974
12.2068600:14:5300:30:12(-15.3)#1200:24:50(-9.95)#2,266
13.2077900:15:4000:30:12(-14.5)#1300:24:50(-9.16)#2,762
14.2167900:15:5100:30:12(-14.3)#1400:24:50(-8.98)#2,907
15.2182400:16:1500:30:12(-14.0)#1500:24:50(-8.59)#3,223
16.2182600:16:1800:30:12(-13.9)#1600:24:50(-8.53)#3,281
17.2076200:16:3000:30:12(-13.7)#1700:24:50(-8.33)#3,480
18.2181700:16:3600:30:12(-13.6)#1800:24:50(-8.23)#3,585
19.2163400:16:4900:30:12(-13.4)#1900:24:50(-8.02)#3,784
20.2164500:16:5800:30:12(-13.2)#2000:24:50(-7.87)#3,930
21.2067000:17:0600:30:12(-13.1)#2100:24:50(-7.73)#4,056
22.2153200:17:3000:30:12(-12.7)#2200:24:50(-7.33)#4,464
23.2062900:18:0200:30:12(-12.2)#2300:24:50(-6.80)#5,059
24.2125000:18:0900:30:12(-12.0)#2400:24:50(-6.68)#5,209
25.2154100:18:0900:30:12(-12.0)#2500:24:50(-6.68)#5,214
26.2180100:18:1700:30:12(-11.9)#2600:24:50(-6.54)#5,385
27.2153900:18:2700:30:12(-11.7)#2700:24:50(-6.38)#5,604
28.2160100:18:3500:30:12(-11.6)#2800:24:50(-6.26)#5,775
29.2100500:18:3600:30:12(-11.6)#2900:24:50(-6.24)#5,792
30.2062000:18:3900:30:12(-11.5)#3000:24:50(-6.18)#5,866
31.2150200:18:4200:30:12(-11.5)#3100:24:50(-6.13)#5,932
32.2184900:18:4500:30:12(-11.4)#3200:24:50(-6.08)#6,007
33.2069200:18:4700:30:12(-11.4)#3300:24:50(-6.05)#6,045
34.2154000:18:4900:30:12(-11.4)#3400:24:50(-6.02)#6,100
35.2180400:18:5400:30:12(-11.3)#3500:24:50(-5.93)#6,227
36.2154500:19:1000:30:12(-11.0)#3600:24:50(-5.67)#6,604
37.2155000:19:1700:30:12(-10.9)#3700:24:50(-5.55)#6,760
38.2165300:19:4100:30:12(-10.5)#3800:24:50(-5.15)#7,423
39.2162800:19:4900:30:12(-10.4)#3900:24:50(-5.02)#7,602
40.2182200:19:5000:30:12(-10.4)#4000:24:50(-5.01)#7,623
41.2161300:19:5400:30:12(-10.3)#4100:24:50(-4.94)#7,719
42.2065300:20:0300:30:12(-10.1)#4200:24:50(-4.79)#7,964
43.2184200:20:0400:30:12(-10.1)#4300:24:50(-4.76)#8,008
44.2162000:20:1800:30:12(-9.90)#4400:24:50(-4.54)#8,374
45.2086200:20:2400:30:12(-9.79)#4500:24:50(-4.43)#8,568
46.2187200:20:2800:30:12(-9.73)#4600:24:50(-4.37)#8,657
47.2121000:20:3200:30:12(-9.65)#4700:24:50(-4.29)#8,773
48.2182900:20:4000:30:12(-9.53)#4800:24:50(-4.17)#8,988
49.2152900:20:4900:30:12(-9.39)#4900:24:50(-4.03)#9,231
50.2164800:20:5400:30:12(-9.29)#5000:24:50(-3.93)#9,393
51.2075500:21:1300:30:12(-8.98)#5100:24:50(-3.62)#9,933
52.2183500:21:1500:30:12(-8.95)#5200:24:50(-3.59)#9,991
53.2181100:21:1600:30:12(-8.92)#5300:24:50(-3.56)#10,050
54.2179500:21:1700:30:12(-8.90)#5400:24:50(-3.54)#10,080
55.2185300:21:2000:30:12(-8.87)#5500:24:50(-3.51)#10,151
56.2183800:21:2100:30:12(-8.85)#5600:24:50(-3.49)#10,177
57.2164100:21:2100:30:12(-8.85)#5700:24:50(-3.49)#10,182
58.2120900:21:4200:30:12(-8.49)#5800:24:50(-3.13)#10,842
59.2061900:21:5100:30:12(-8.34)#5900:24:50(-2.98)#11,135
60.2109300:21:5200:30:12(-8.33)#6000:24:50(-2.97)#11,147
61.2156200:21:5500:30:12(-8.29)#6100:24:50(-2.92)#11,229
62.2166200:21:5800:30:12(-8.23)#6200:24:50(-2.87)#11,334
63.2109000:22:0500:30:12(-8.12)#6300:24:50(-2.76)#11,536
64.2115200:22:0500:30:12(-8.11)#6400:24:50(-2.75)#11,558
65.2152000:22:0800:30:12(-8.06)#6500:24:50(-2.70)#11,669
66.2186400:22:2400:30:12(-7.79)#6600:24:50(-2.43)#12,168
67.2105100:22:3000:30:12(-7.70)#6700:24:50(-2.34)#12,343
68.2163500:22:3100:30:12(-7.68)#6800:24:50(-2.32)#12,385
69.2115300:22:3600:30:12(-7.60)#6900:24:50(-2.24)#12,540
70.2120200:22:4300:30:12(-7.48)#7000:24:50(-2.12)#12,751
71.2163100:22:4400:30:12(-7.46)#7100:24:50(-2.10)#12,792
72.2174200:22:4800:30:12(-7.39)#7200:24:50(-2.03)#12,918
73.2153600:22:5000:30:12(-7.37)#7300:24:50(-2.01)#12,967
74.2183000:22:5000:30:12(-7.36)#7400:24:50(-2.00)#12,977
75.2174000:22:5200:30:12(-7.32)#7500:24:50(-1.96)#13,052
76.2166100:22:5500:30:12(-7.28)#7600:24:50(-1.92)#13,137
77.2166300:22:5800:30:12(-7.23)#7700:24:50(-1.87)#13,233
78.2187500:23:1700:30:12(-6.90)#7800:24:50(-1.54)#13,824
79.2191400:23:3000:30:12(-6.70)#7900:24:50(-1.33)#14,239
80.2172700:23:3300:30:12(-6.64)#8000:24:50(-1.28)#14,343
81.2063400:23:3500:30:12(-6.61)#8100:24:50(-1.25)#14,429
82.2103200:23:3500:30:12(-6.61)#8200:24:50(-1.25)#14,434
83.2187400:23:3700:30:12(-6.58)#8300:24:50(-1.22)#14,471
84.2185000:23:4200:30:12(-6.49)#8400:24:50(-1.13)#14,655
85.2076300:23:4600:30:12(-6.43)#8500:24:50(-1.06)#14,776
86.2120400:23:4700:30:12(-6.41)#8600:24:50(-1.05)#14,804
87.2162500:23:5100:30:12(-6.35)#8700:24:50(-0.992)#14,902
88.2153000:24:0100:30:12(-6.18)#8800:24:50(-0.816)#15,225
89.2154200:24:0300:30:12(-6.14)#8900:24:50(-0.780)#15,299
90.2162900:24:0600:30:12(-6.10)#9000:24:50(-0.738)#15,395
91.2122700:24:0600:30:12(-6.09)#9100:24:50(-0.731)#15,415
92.2171900:24:1000:30:12(-6.03)#9200:24:50(-0.672)#15,529
93.2167700:24:2600:30:12(-5.76)#9300:24:50(-0.398)#16,058
94.2176700:24:3700:30:12(-5.57)#9400:24:50(-0.212)#16,388
95.2123100:24:3900:30:12(-5.54)#9500:24:50(-0.180)#16,445
96.2167300:24:4400:30:12(-5.47)#9600:24:50(-0.108)#16,599
97.2074000:24:4600:30:12(-5.43)#9700:24:50(-0.067)#16,691
98.2191500:24:4600:30:12(-5.43)#9800:24:50(-0.067)#16,692
99.2164900:24:5100:30:12(-5.34)#9900:24:50(+0.024)#16,849
100.2185100:24:5200:30:12(-5.33)#10000:24:50(+0.030)#16,861

Common Questions

What are the Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Maryland?
Top 10 Zip Codes with the Shortest Median Commute Time to Work for Females in Maryland are:
#1
00:05:52
#2
00:07:44
#3
00:08:38
#4
00:10:42
#5
00:10:58
#6
00:11:42
#7
00:11:58
#8
00:13:42
#9
00:14:18
#10
00:14:21
What zip code has the Shortest Median Commute Time to Work for Females in Maryland?
20889 has the Shortest Median Commute Time to Work for Females in Maryland with 00:05:52.
What is the Median Commute Time to Work for Females in the State of Maryland?
Median Commute Time to Work for Females in Maryland is 00:30:12.
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.