Virginia Average Commute Time by County

Data Item State
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Mean travel time to work (minutes), workers age 16+, 2009-2013 - (Minutes)
County Value
Accomack 21.2
Albemarle 22.2
Alexandria city 30.5
Alleghany 23.4
Amelia 34.2
Amherst 23.1
Appomattox 28.6
Arlington 27.3
Augusta 23.6
Bath 31.8
Bedford 27.6
Bedford city 18.7
Bland 32.1
Botetourt 25.6
Bristol city 17.5
Brunswick 29.6
Buchanan 30.1
Buckingham 32.0
Buena Vista city 16.8
Campbell 22.1
Caroline 37.7
Carroll 26.5
Charles City 35.9
Charlotte 32.1
Charlottesville city 17.4
Chesapeake city 24.4
Chesterfield 25.5
Clarke 37.0
Colonial Heights city 20.9
Covington city 21.6
Craig 32.0
Culpeper 36.2
Cumberland 33.6
Danville city 19.1
Dickenson 31.2
Dinwiddie 28.0
Emporia city 19.6
Essex 32.6
Fairfax 32.0
Fairfax city 31.7
Falls Church city 27.3
Fauquier 39.2
Floyd 34.5
Fluvanna 33.5
Franklin 29.8
Franklin city 27.2
Frederick 30.3
Fredericksburg city 25.0
Galax city 21.4
Giles 25.8
Gloucester 32.8
Goochland 30.1
Grayson 27.7
Greene 29.3
Greensville 23.5
Halifax 23.4
Hampton city 22.1
Hanover 25.3
Harrisonburg city 15.7
Henrico 21.9
Henry 24.4
Highland 22.4
Hopewell city 21.4
Isle of Wight 28.6
James City 24.5
King and Queen 42.5
King George 34.0
King William 34.2
Lancaster 26.0
Lee 28.4
Lexington city 17.0
Loudoun 33.1
Louisa 35.1
Lunenburg 29.2
Lynchburg city 16.9
Madison 32.8
Manassas city 33.8
Manassas Park city 40.8
Martinsville city 17.8
Mathews 32.9
Mecklenburg 26.4
Middlesex 27.7
Montgomery 17.8
Nelson 33.2
New Kent 31.9
Newport News city 22.4
Norfolk city 21.5
Northampton 18.8
Northumberland 30.6
Norton city 15.0
Nottoway 28.7
Orange 39.9
Page 34.0
Patrick 26.4
Petersburg city 22.7
Pittsylvania 26.0
Poquoson city 22.8
Portsmouth city 24.4
Powhatan 32.4
Prince Edward 22.2
Prince George 22.2
Prince William 39.2
Pulaski 22.9
Radford city 18.7
Rappahannock 35.4
Richmond 28.8
Richmond city 21.7
Roanoke 20.3
Roanoke city 18.4
Rockbridge 22.0
Rockingham 22.1
Russell 28.3
Salem city 17.2
Scott 28.4
Shenandoah 29.9
Smyth 20.7
Southampton 31.3
Spotsylvania 38.0
Stafford 39.4
Staunton city 19.3
Suffolk city 28.1
Surry 33.5
Sussex 27.1
Tazewell 25.1
Virginia Beach city 22.9
Warren 39.9
Washington 23.4
Waynesboro city 19.5
Westmoreland 38.8
Williamsburg city 19.2
Winchester city 22.3
Wise 22.2
Wythe 21.3
York 21.5

Value for Virginia (Minutes): 27.7

Data item: Mean travel time to work (minutes), workers age 16+, 2009-2013

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year.


Travel time to work refers to the total number of minutes that it usually took the person to get from home to work each day during the reference week. The elapsed time includes time spent waiting for public transportation, picking up passengers in carpools, and time spent in other activities related to getting to work.

Data were tabulated for workers 16 years old and over--that is, members of the Armed Forces and civilians who were at work during the reference week--who reported that they worked outside their home.

Mean travel time to work is obtained by dividing the total number of minutes by the number of workers 16 years old and over who did not work at home. Mean travel time to work is rounded to the nearest tenth of a minute.

Scope and Methodology:

These data are collected in the American Community Survey (ACS). The data for each geographic area are presented together with margins of error at The data are period estimates, that is, they represent the characteristics of the population and housing over a specific 60-month data collection period.

Margins of Error (MOE). ACS estimates are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a MOE. The MOE used with ACS estimates can be interpreted as providing a 90 percent probability that the interval defined by the estimate plus the MOE and the estimate minus the MOE (the upper and lower confidence bounds) contains the full population value of the estimate.

For example, suppose the 5-year ACS reported the percentage of people 25 years and older in Birmingham, Alabama who had a bachelor's degree was 21.3 percent and that the MOE associated with this estimate is plus or minus (+/-) 0.9 percent. By adding and subtracting the MOE from the estimate, we can calculate the 90-percent confidence interval for this estimate at 21.3%, +/-0.9%:

21.3% - 0.9% = 20.4% = Lower-bound estimate
21.3% + 0.9% = 22.2% = Upper-bound estimate

Therefore, we can be 90 percent confident that the percent of the population in Birmingham, Alabama of age 25 years and older having a bachelor's degree in 2007-2011 falls somewhere between 20.4 percent and 22.2 percent.

For this Fact and other 5-year Economic Characteristic Facts (listed below), their estimates and margins of error or percents and percent margins of errors can be found on Data Profile - Economic Characteristics. This profile is displayed by geography. Click on the link for "Browse for Data sets (geography picked)" near the top of the Quick facts profile page, click on the link for People QuickLinks/American Community Survey - "Economic Characteristics" for the data profile.

Mean travel time to work (minutes), workers age 16 and over;
Per capita money income in the past 12 months,
Median household income,
Persons below poverty level, percent

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