Cities 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
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Comparison Subject

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

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

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

City Commute Time vs State vs National
1.Flintstone00:08:1600:30:12(-21.9)#100:24:50(-16.6)#451
2.Naval Academy00:09:1400:30:12(-21.0)#200:24:50(-15.6)#587
3.Oakland00:10:2200:30:12(-19.8)#300:24:50(-14.5)#876
4.Kent Narrows00:11:4700:30:12(-18.4)#400:24:50(-13.1)#1,400
5.Lewistown00:12:0200:30:12(-18.2)#500:24:50(-12.8)#1,510
6.Pleasant Grove00:12:3000:30:12(-17.7)#600:24:50(-12.3)#1,698
7.Pinesburg00:12:3700:30:12(-17.6)#700:24:50(-12.2)#1,754
8.Kennedyville00:12:5100:30:12(-17.3)#800:24:50(-12.0)#1,869
9.Charlton00:13:2700:30:12(-16.8)#900:24:50(-11.4)#2,202
10.Cresaptown00:13:5300:30:12(-16.3)#1000:24:50(-11.0)#2,484
11.Cordova00:13:5400:30:12(-16.3)#1100:24:50(-10.9)#2,500
12.Frostburg00:14:0500:30:12(-16.1)#1200:24:50(-10.8)#2,624
13.Funkstown00:14:2500:30:12(-15.8)#1300:24:50(-10.4)#2,856
14.Henderson00:15:2600:30:12(-14.8)#1400:24:50(-9.41)#3,721
15.Chestertown00:15:3200:30:12(-14.7)#1500:24:50(-9.30)#3,814
16.Wilson Conococheague00:15:3400:30:12(-14.6)#1600:24:50(-9.27)#3,843
17.Mountain Lake Park00:15:3600:30:12(-14.6)#1700:24:50(-9.23)#3,892
18.Crisfield00:15:3700:30:12(-14.6)#1800:24:50(-9.22)#3,900
19.La Vale00:16:1300:30:12(-14.0)#1900:24:50(-8.62)#4,562
20.Smith Island00:16:1500:30:12(-14.0)#2000:24:50(-8.59)#4,602
21.Andrews Afb00:16:3000:30:12(-13.7)#2100:24:50(-8.33)#4,901
22.Fruitland00:16:3300:30:12(-13.6)#2200:24:50(-8.28)#4,963
23.Bishopville00:16:3600:30:12(-13.6)#2300:24:50(-8.24)#5,000
24.Leonardtown00:16:3800:30:12(-13.6)#2400:24:50(-8.19)#5,043
25.Mount Aetna00:16:3900:30:12(-13.5)#2500:24:50(-8.18)#5,060
26.Madison00:16:5800:30:12(-13.2)#2600:24:50(-7.87)#5,422
27.Callaway00:17:0300:30:12(-13.1)#2700:24:50(-7.79)#5,507
28.Easton00:17:0500:30:12(-13.1)#2800:24:50(-7.76)#5,544
29.Deer Park00:17:0900:30:12(-13.0)#2900:24:50(-7.68)#5,642
30.Eden00:17:1100:30:12(-13.0)#3000:24:50(-7.65)#5,671
31.Barnesville00:17:3000:30:12(-12.7)#3100:24:50(-7.34)#6,043
32.Taylors Island00:17:3000:30:12(-12.7)#3200:24:50(-7.34)#6,050
33.Rock Hall00:17:4300:30:12(-12.5)#3300:24:50(-7.11)#6,334
34.Lexington Park00:18:0200:30:12(-12.2)#3400:24:50(-6.80)#6,701
35.Salisbury00:18:0500:30:12(-12.1)#3500:24:50(-6.76)#6,759
36.Fairlee00:18:0900:30:12(-12.1)#3600:24:50(-6.69)#6,824
37.Loch Lynn Heights00:18:0900:30:12(-12.0)#3700:24:50(-6.69)#6,831
38.Cambridge00:18:1000:30:12(-12.0)#3800:24:50(-6.67)#6,850
39.Beaver Creek00:18:1000:30:12(-12.0)#3900:24:50(-6.67)#6,854
40.Trappe00:18:1000:30:12(-12.0)#4000:24:50(-6.67)#6,860
41.Snow Hill00:18:1800:30:12(-11.9)#4100:24:50(-6.54)#7,013
42.Shaft00:18:2500:30:12(-11.8)#4200:24:50(-6.42)#7,190
43.Aberdeen Proving Ground00:18:3600:30:12(-11.6)#4300:24:50(-6.24)#7,446
44.Highland Beach00:18:4500:30:12(-11.5)#4400:24:50(-6.09)#7,666
45.Mays Chapel00:18:4700:30:12(-11.4)#4500:24:50(-6.06)#7,707
46.Luke00:18:4900:30:12(-11.4)#4600:24:50(-6.02)#7,778
47.Williamsport00:18:5700:30:12(-11.2)#4700:24:50(-5.89)#7,954
48.Rawlings00:18:5900:30:12(-11.2)#4800:24:50(-5.86)#7,996
49.Berlin00:19:0800:30:12(-11.1)#4900:24:50(-5.70)#8,217
50.Ocean City00:19:2300:30:12(-10.8)#5000:24:50(-5.46)#8,580
51.Halfway00:19:2700:30:12(-10.7)#5100:24:50(-5.38)#8,703
52.Eckhart Mines00:19:2900:30:12(-10.7)#5200:24:50(-5.35)#8,739
53.Clear Spring00:19:2900:30:12(-10.7)#5300:24:50(-5.35)#8,748
54.Cumberland00:19:2900:30:12(-10.7)#5400:24:50(-5.35)#8,755
55.Lonaconing00:19:3100:30:12(-10.7)#5500:24:50(-5.31)#8,807
56.Algonquin00:19:4000:30:12(-10.5)#5600:24:50(-5.17)#9,014
57.Cedarville00:19:4800:30:12(-10.4)#5700:24:50(-5.04)#9,216
58.Crumpton00:19:4900:30:12(-10.4)#5800:24:50(-5.02)#9,253
59.West Ocean City00:20:0500:30:12(-10.1)#5900:24:50(-4.76)#9,647
60.Fishing Creek00:20:1000:30:12(-10.0)#6000:24:50(-4.67)#9,778
61.Accident00:20:2400:30:12(-9.79)#6100:24:50(-4.43)#10,141
62.Ellerslie00:20:4900:30:12(-9.39)#6200:24:50(-4.03)#10,770
63.Libertytown00:20:4900:30:12(-9.37)#6300:24:50(-4.01)#10,792
64.Braddock Heights00:20:5200:30:12(-9.33)#6400:24:50(-3.97)#10,867
65.Millington00:21:0600:30:12(-9.10)#6500:24:50(-3.74)#11,266
66.Midland00:21:0800:30:12(-9.07)#6600:24:50(-3.71)#11,309
67.Lutherville00:21:1100:30:12(-9.01)#6700:24:50(-3.65)#11,394
68.Fort Meade00:21:1300:30:12(-8.98)#6800:24:50(-3.62)#11,430
69.Hillsboro00:21:2100:30:12(-8.85)#6900:24:50(-3.49)#11,649
70.Maugansville00:21:2900:30:12(-8.71)#7000:24:50(-3.35)#11,861
71.Galena00:21:4000:30:12(-8.53)#7100:24:50(-3.17)#12,151
72.Arbutus00:21:4100:30:12(-8.50)#7200:24:50(-3.14)#12,185
73.Cavetown00:21:4400:30:12(-8.45)#7300:24:50(-3.09)#12,259
74.Elkton00:21:5300:30:12(-8.31)#7400:24:50(-2.95)#12,491
75.Jefferson00:21:5900:30:12(-8.21)#7500:24:50(-2.85)#12,634
76.Linthicum00:22:1100:30:12(-8.02)#7600:24:50(-2.65)#12,947
77.Ten Mile Creek00:22:1200:30:12(-7.99)#7700:24:50(-2.63)#13,004
78.Tall Timbers00:22:1500:30:12(-7.95)#7800:24:50(-2.59)#13,060
79.College Park00:22:2400:30:12(-7.80)#7900:24:50(-2.44)#13,303
80.Mount Savage00:22:2400:30:12(-7.80)#8000:24:50(-2.44)#13,306
81.Kingstown00:22:2800:30:12(-7.73)#8100:24:50(-2.37)#13,403
82.Buckeystown00:22:2900:30:12(-7.72)#8200:24:50(-2.36)#13,424
83.Queen Anne00:22:3000:30:12(-7.70)#8300:24:50(-2.34)#13,466
84.Bowling Green00:22:3300:30:12(-7.64)#8400:24:50(-2.28)#13,553
85.Hebron00:22:3900:30:12(-7.55)#8500:24:50(-2.19)#13,704
86.Potomac Park00:22:4100:30:12(-7.51)#8600:24:50(-2.15)#13,766
87.Robinwood00:22:4400:30:12(-7.46)#8700:24:50(-2.10)#13,848
88.Hancock00:22:4500:30:12(-7.44)#8800:24:50(-2.08)#13,894
89.Grantsville00:22:4600:30:12(-7.44)#8900:24:50(-2.07)#13,900
90.Highfield Cascade00:22:5000:30:12(-7.36)#9000:24:50(-2.00)#14,019
91.Pikesville00:22:5700:30:12(-7.25)#9100:24:50(-1.89)#14,190
92.Westernport00:22:5700:30:12(-7.24)#9200:24:50(-1.88)#14,198
93.Galestown00:23:0400:30:12(-7.13)#9300:24:50(-1.77)#14,408
94.California00:23:0700:30:12(-7.08)#9400:24:50(-1.72)#14,470
95.Fountainhead Orchard Hills00:23:1500:30:12(-6.95)#9500:24:50(-1.59)#14,664
96.Edgemont00:23:1700:30:12(-6.91)#9600:24:50(-1.55)#14,728
97.Edmonston00:23:1800:30:12(-6.90)#9700:24:50(-1.54)#14,756
98.Crownsville00:23:1800:30:12(-6.89)#9800:24:50(-1.53)#14,759
99.Hagerstown00:23:2100:30:12(-6.84)#9900:24:50(-1.48)#14,843
100.St Michaels00:23:2800:30:12(-6.73)#10000:24:50(-1.37)#15,027

Common Questions

What are the Top 10 Cities with the Shortest Median Commute Time to Work for Females in Maryland?
Top 10 Cities with the Shortest Median Commute Time to Work for Females in Maryland are:
#1
00:08:16
#2
00:09:14
#3
00:10:22
#4
00:11:47
#5
00:12:30
#6
00:12:37
#7
00:12:51
#8
00:13:27
#9
00:13:53
#10
00:13:54
What city has the Shortest Median Commute Time to Work for Females in Maryland?
Flintstone has the Shortest Median Commute Time to Work for Females in Maryland with 00:08:16.
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.