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
22.9
Allen
21.4
Bartholomew
19.4
Benton
26.8
Blackford
23.0
Boone
24.6
Brown
32.9
Carroll
28.6
Cass
20.5
Clark
23.9
Clay
27.4
Clinton
23.7
Crawford
33.6
Daviess
25.9
Dearborn
29.0
Decatur
21.2
DeKalb
20.3
Delaware
20.7
Dubois
18.5
Elkhart
19.5
Fayette
25.4
Floyd
22.8
Fountain
25.5
Franklin
30.8
Fulton
23.5
Gibson
21.7
Grant
18.4
Greene
28.5
Hamilton
25.4
Hancock
26.6
Harrison
30.9
Hendricks
27.3
Henry
26.2
Howard
19.5
Huntington
21.0
Jackson
20.9
Jasper
27.6
Jay
20.5
Jefferson
24.8
Jennings
26.1
Johnson
26.3
Knox
19.2
Kosciusko
19.5
LaGrange
23.2
Lake
28.8
LaPorte
22.9
Lawrence
23.1
Madison
26.1
Marion
23.6
Marshall
22.3
Martin
25.7
Miami
23.8
Monroe
19.2
Montgomery
21.4
Morgan
28.7
Newton
32.5
Noble
21.8
Ohio
30.2
Orange
24.8
Owen
30.6
Parke
26.0
Perry
23.8
Pike
25.6
Porter
27.3
Posey
22.7
Pulaski
23.5
Putnam
26.0
Randolph
24.7
Ripley
27.6
Rush
26.6
Scott
25.3
Shelby
23.8
Spencer
26.3
St. Joseph
21.1
Starke
29.7
Steuben
21.3
Sullivan
23.9
Switzerland
40.1
Tippecanoe
17.9
Tipton
25.2
Union
23.9
Vanderburgh
19.7
Vermillion
23.8
Vigo
19.8
Wabash
19.8
Warren
25.6
Warrick
23.9
Washington
31.2
Wayne
19.8
Wells
21.7
White
25.4
Whitley
24.8
Value for Indiana (Minutes): 23.6
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.
