United States - Average Commute Time by State

Data Item
Loading map...

See also: County-level map

Mean travel time to work (minutes), workers age 16+, 2009-2013 - (Minutes)
State Value
Alabama 24.2
Alaska 18.8
Arizona 24.6
Arkansas 21.3
California 27.2
Colorado 24.5
Connecticut 24.8
Delaware 24.8
District of Columbia 29.7
Florida 25.9
Georgia 27.0
Hawaii 26.0
Idaho 20.0
Illinois 28.0
Indiana 23.2
Iowa 18.8
Kansas 19.0
Kentucky 22.8
Louisiana 24.9
Maine 23.3
Maryland 32.0
Massachusetts 28.0
Michigan 24.0
Minnesota 22.9
Mississippi 23.9
Missouri 23.1
Montana 18.0
Nebraska 18.1
Nevada 23.8
New Hampshire 26.3
New Jersey 30.4
New Mexico 21.6
New York 31.6
North Carolina 23.6
North Dakota 16.9
Ohio 23.0
Oklahoma 21.0
Oregon 22.5
Pennsylvania 25.9
Rhode Island 23.6
South Carolina 23.5
South Dakota 16.9
Tennessee 24.3
Texas 25.0
Utah 21.4
Vermont 22.2
Virginia 27.7
Washington 25.7
West Virginia 25.5
Wisconsin 21.7
Wyoming 18.3

Value for the US (Minutes): 25.5

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. http://factfinder2.census.gov


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 factfinder2.census.gov. 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

More Information: