About this application: This application provides summary profiles showing frequently requested data items from various US Census Bureau programs. Profiles are available for the nation, states, and counties.
Mean travel time to work (minutes), workers age 16 years+, 2014-2018 - (Minutes)
County
Value
Adams
37.4
Allen
19.1
Ashland
23.5
Ashtabula
25.5
Athens
20.3
Auglaize
19.7
Belmont
23.7
Brown
35.0
Butler
24.7
Carroll
28.8
Champaign
25.4
Clark
22.5
Clermont
28.0
Clinton
26.0
Columbiana
25.5
Coshocton
24.0
Crawford
20.7
Cuyahoga
24.2
Darke
23.7
Defiance
20.8
Delaware
26.0
Erie
21.1
Fairfield
28.8
Fayette
24.8
Franklin
21.9
Fulton
23.7
Gallia
28.5
Geauga
28.3
Greene
21.2
Guernsey
23.9
Hamilton
23.3
Hancock
16.8
Hardin
25.1
Harrison
30.0
Henry
21.9
Highland
29.3
Hocking
30.9
Holmes
21.7
Huron
22.8
Jackson
27.1
Jefferson
24.3
Knox
25.8
Lake
23.2
Lawrence
23.7
Licking
26.0
Logan
21.9
Lorain
24.5
Lucas
20.7
Madison
25.5
Mahoning
22.0
Marion
21.9
Medina
27.0
Meigs
32.7
Mercer
18.0
Miami
21.4
Monroe
33.7
Montgomery
21.5
Morgan
31.0
Morrow
30.1
Muskingum
23.7
Noble
29.0
Ottawa
23.8
Paulding
22.7
Perry
31.5
Pickaway
28.1
Pike
28.2
Portage
25.7
Preble
26.5
Putnam
21.9
Richland
22.4
Ross
25.5
Sandusky
19.9
Scioto
25.5
Seneca
21.7
Shelby
18.3
Stark
21.9
Summit
22.9
Trumbull
23.0
Tuscarawas
23.0
Union
24.7
Van Wert
20.1
Vinton
32.2
Warren
25.7
Washington
22.8
Wayne
20.6
Williams
18.8
Wood
20.2
Wyandot
21.5
Value for Ohio (Minutes): 23.5
Data item: Mean travel time to work (minutes), workers age 16 years+, 2014-2018
Sources: U.S. Census Bureau, American Community Survey (ACS) and Puerto Rico Community Survey (PRCS), 5-Year Estimates. The PRCS is part of the Census Bureau's ACS, customized for Puerto Rico. Both Surveys are updated every year.
Definition
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.
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. For the complete definition, go to ACS subject definitions "Travel Time to Work."
Source and Accuracy
This Fact is based on data collected in the American Community Survey (ACS) and the Puerto Rico Community Survey (PRCS) conducted annually by the U.S. Census Bureau. A sample of over 3.5 million housing unit addresses is interviewed each year over a 12 month period. This Fact (estimate) is based on five years of ACS and PRCS sample data and describes the average value of person, household and housing unit characteristics over this period of collection.
Statistics from all surveys are subject to sampling and nonsampling error. Sampling error is the uncertainty between an estimate based on a sample and the corresponding value that would be obtained if the estimate were based on the entire population (as from a census). Measures of sampling error are provided in the form of margins of error for all estimates included with ACS and PRCS published products. The Census Bureau recommends that data users incorporate this information into their analyses, as sampling error in survey estimates could impact the conclusions drawn from the results. The data for each geographic area are presented together with margins of error at Using margins of error. A more detailed explanation of margins of error and a demonstration of how to use them is provided below.
For more information on sampling and estimation methodology, confidentiality, and sampling and nonsampling errors, please see the Multiyear Accuracy (US) and the Multiyear Accuracy (Puerto Rico) documents at "Documentation - Accuracy of the data."
Margin of Error
As mentioned above, ACS estimates are based on a sample and are subject to sampling error. The margin of error measures the degree of uncertainty caused by sampling error. The margin of error is used with an ACS estimate to construct a confidence interval about the estimate. The interval is formed by adding the margin of error to the estimate (the upper bound) and subtracting the margin of error from the estimate (the lower bound). It is expected with 90 percent confidence that the interval will contain the full population value of the estimate. The following example is for demonstrating purposes only. Suppose the ACS reported that the percentage of people in a state who were 25 years and older with a bachelor's degree was 21.3 percent and that the margin of error associated with this estimate was 0.7 percent. By adding and subtracting the margin of error from the estimate, we calculate the 90-percent confidence interval for this estimate:
Therefore, we can be 90 percent confident that the percent of the population 25 years and older having a bachelor's degree in a state falls somewhere between 20.6 percent and 22.0 percent.
