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

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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
Maryland
Compare Zip Codes
Comparison Subject

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

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01:40:00
Zip Codes with the Longest Median Commute Time to Work for Females in Maryland Map

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

Zip Code Commute Time vs State vs National
1.2161201:21:3000:30:12(+51.3)#100:24:50(+56.7)#20
2.2167601:13:4700:30:12(+43.6)#200:24:50(+49.0)#34
3.2060601:04:4300:30:12(+34.5)#300:24:50(+39.9)#72
4.2173301:00:0300:30:12(+29.8)#400:24:50(+35.2)#104
5.2060800:58:1600:30:12(+28.1)#500:24:50(+33.4)#123
6.2154300:57:3200:30:12(+27.3)#600:24:50(+32.7)#128
7.2064500:56:2100:30:12(+26.2)#700:24:50(+31.5)#139
8.2184100:55:1800:30:12(+25.1)#800:24:50(+30.5)#148
9.2062300:54:1800:30:12(+24.1)#900:24:50(+29.5)#167
10.2184000:52:3900:30:12(+22.5)#1000:24:50(+27.8)#203
11.2060900:51:5100:30:12(+21.7)#1100:24:50(+27.0)#217
12.2064000:51:1000:30:12(+21.0)#1200:24:50(+26.3)#234
13.2068900:51:0400:30:12(+20.9)#1300:24:50(+26.2)#241
14.2060700:48:4900:30:12(+18.6)#1400:24:50(+24.0)#319
15.2115600:47:1800:30:12(+17.1)#1500:24:50(+22.5)#380
16.2066400:47:0300:30:12(+16.9)#1600:24:50(+22.2)#392
17.2060100:46:4300:30:12(+16.5)#1700:24:50(+21.9)#412
18.2073300:46:4300:30:12(+16.5)#1800:24:50(+21.9)#414
19.2060300:46:2600:30:12(+16.2)#1900:24:50(+21.6)#437
20.2069500:46:0900:30:12(+16.0)#2000:24:50(+21.3)#448
21.2061500:46:0200:30:12(+15.8)#2100:24:50(+21.2)#453
22.2166700:44:4500:30:12(+14.6)#2200:24:50(+19.9)#536
23.2104700:44:1000:30:12(+14.0)#2300:24:50(+19.3)#589
24.2084200:43:5900:30:12(+13.8)#2400:24:50(+19.1)#608
25.2061300:43:2900:30:12(+13.3)#2500:24:50(+18.6)#657
26.2061600:43:1300:30:12(+13.0)#2600:24:50(+18.4)#673
27.2063900:42:2800:30:12(+12.3)#2700:24:50(+17.6)#746
28.2060200:42:2200:30:12(+12.2)#2800:24:50(+17.5)#763
29.2074700:41:4500:30:12(+11.6)#2900:24:50(+16.9)#837
30.2068700:41:2800:30:12(+11.3)#3000:24:50(+16.6)#868
31.2077200:41:1700:30:12(+11.1)#3100:24:50(+16.4)#896
32.2171800:41:1000:30:12(+11.0)#3200:24:50(+16.3)#905
33.2073200:41:0500:30:12(+10.9)#3300:24:50(+16.2)#917
34.2076900:40:5300:30:12(+10.7)#3400:24:50(+16.1)#936
35.2164700:40:4000:30:12(+10.5)#3500:24:50(+15.8)#966
36.2063700:40:3800:30:12(+10.4)#3600:24:50(+15.8)#971
37.2074400:40:1700:30:12(+10.1)#3700:24:50(+15.4)#1,028
38.2086600:40:1000:30:12(+9.97)#3800:24:50(+15.3)#1,048
39.2074600:39:4500:30:12(+9.55)#3900:24:50(+14.9)#1,113
40.2075800:39:3700:30:12(+9.43)#4000:24:50(+14.8)#1,135
41.2087200:39:3200:30:12(+9.33)#4100:24:50(+14.7)#1,151
42.2066200:39:2300:30:12(+9.20)#4200:24:50(+14.6)#1,178
43.2067600:39:1000:30:12(+8.97)#4300:24:50(+14.3)#1,210
44.2088200:39:0600:30:12(+8.91)#4400:24:50(+14.3)#1,222
45.2073500:38:5800:30:12(+8.78)#4500:24:50(+14.1)#1,243
46.2176600:38:5400:30:12(+8.71)#4600:24:50(+14.1)#1,255
47.2108400:38:4800:30:12(+8.60)#4700:24:50(+14.0)#1,280
48.2178000:38:4600:30:12(+8.58)#4800:24:50(+13.9)#1,281
49.2162200:38:4200:30:12(+8.51)#4900:24:50(+13.9)#1,300
50.2172300:38:4000:30:12(+8.48)#5000:24:50(+13.8)#1,308
51.2077400:38:3400:30:12(+8.37)#5100:24:50(+13.7)#1,328
52.2071400:38:3400:30:12(+8.37)#5200:24:50(+13.7)#1,329
53.2076500:38:2200:30:12(+8.16)#5300:24:50(+13.5)#1,374
54.2086000:38:1400:30:12(+8.03)#5400:24:50(+13.4)#1,398
55.2062200:38:0700:30:12(+7.93)#5500:24:50(+13.3)#1,421
56.2063200:37:5800:30:12(+7.78)#5600:24:50(+13.1)#1,461
57.2165100:37:5100:30:12(+7.66)#5700:24:50(+13.0)#1,491
58.2175600:37:4300:30:12(+7.52)#5800:24:50(+12.9)#1,531
59.2191200:37:3600:30:12(+7.41)#5900:24:50(+12.8)#1,558
60.2074500:37:3600:30:12(+7.41)#6000:24:50(+12.8)#1,562
61.2075100:37:3400:30:12(+7.37)#6100:24:50(+12.7)#1,580
62.2072100:37:1000:30:12(+6.96)#6200:24:50(+12.3)#1,700
63.2165800:37:0000:30:12(+6.81)#6300:24:50(+12.2)#1,741
64.2104800:36:4800:30:12(+6.60)#6400:24:50(+12.0)#1,794
65.2068800:36:4100:30:12(+6.49)#6500:24:50(+11.8)#1,827
66.2179700:36:3500:30:12(+6.38)#6600:24:50(+11.7)#1,856
67.2074800:36:3300:30:12(+6.36)#6700:24:50(+11.7)#1,866
68.2177000:36:2600:30:12(+6.23)#6800:24:50(+11.6)#1,899
69.2062100:36:2500:30:12(+6.23)#6900:24:50(+11.6)#1,902
70.2077800:36:1900:30:12(+6.11)#7000:24:50(+11.5)#1,946
71.2116000:36:0800:30:12(+5.94)#7100:24:50(+11.3)#2,005
72.2072000:36:0600:30:12(+5.90)#7200:24:50(+11.3)#2,029
73.2175400:36:0200:30:12(+5.83)#7300:24:50(+11.2)#2,051
74.2078300:35:5400:30:12(+5.70)#7400:24:50(+11.1)#2,109
75.2065900:35:5300:30:12(+5.69)#7500:24:50(+11.0)#2,111
76.2177700:35:4300:30:12(+5.52)#7600:24:50(+10.9)#2,169
77.2077700:35:3700:30:12(+5.42)#7700:24:50(+10.8)#2,215
78.2074300:35:3000:30:12(+5.31)#7800:24:50(+10.7)#2,246
79.2071000:35:2400:30:12(+5.21)#7900:24:50(+10.6)#2,284
80.2121600:35:2300:30:12(+5.19)#8000:24:50(+10.6)#2,293
81.2073600:35:1900:30:12(+5.12)#8100:24:50(+10.5)#2,318
82.2101300:35:1200:30:12(+5.01)#8200:24:50(+10.4)#2,361
83.2103400:35:0500:30:12(+4.90)#8300:24:50(+10.3)#2,396
84.2071600:35:0300:30:12(+4.86)#8400:24:50(+10.2)#2,406
85.2076400:34:5900:30:12(+4.79)#8500:24:50(+10.2)#2,450
86.2177600:34:5600:30:12(+4.74)#8600:24:50(+10.1)#2,470
87.2077000:34:4900:30:12(+4.63)#8700:24:50(+9.99)#2,519
88.2162300:34:4600:30:12(+4.58)#8800:24:50(+9.94)#2,537
89.2177400:34:4600:30:12(+4.57)#8900:24:50(+9.93)#2,540
90.2166500:34:4300:30:12(+4.53)#9000:24:50(+9.89)#2,565
91.2105300:34:3800:30:12(+4.44)#9100:24:50(+9.80)#2,606
92.2062600:34:3800:30:12(+4.44)#9200:24:50(+9.80)#2,611
93.2121700:34:3700:30:12(+4.42)#9300:24:50(+9.78)#2,626
94.2091000:34:3400:30:12(+4.37)#9400:24:50(+9.73)#2,652
95.2112000:34:3200:30:12(+4.34)#9500:24:50(+9.70)#2,672
96.2062500:34:2100:30:12(+4.15)#9600:24:50(+9.52)#2,764
97.2153800:34:0500:30:12(+3.90)#9700:24:50(+9.26)#2,876
98.2113200:34:0300:30:12(+3.86)#9800:24:50(+9.22)#2,892
99.2062400:34:0300:30:12(+3.86)#9900:24:50(+9.22)#2,895
100.2115500:33:5900:30:12(+3.79)#10000:24:50(+9.15)#2,920

Common Questions

What are the Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Maryland?
Top 10 Zip Codes with the Longest Median Commute Time to Work for Females in Maryland are:
#1
01:21:30
#2
01:13:47
#3
01:04:43
#4
01:00:03
#5
00:58:16
#6
00:57:32
#7
00:56:21
#8
00:55:18
#9
00:54:18
#10
00:52:39
What zip code has the Longest Median Commute Time to Work for Females in Maryland?
21612 has the Longest Median Commute Time to Work for Females in Maryland with 01:21:30.
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.