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
Alcona
25.0
Alger
21.3
Allegan
23.9
Alpena
16.8
Antrim
24.3
Arenac
28.3
Baraga
17.9
Barry
28.4
Bay
22.3
Benzie
25.4
Berrien
19.7
Branch
22.3
Calhoun
20.2
Cass
24.6
Charlevoix
19.9
Cheboygan
26.1
Chippewa
17.1
Clare
27.7
Clinton
23.7
Crawford
21.8
Delta
20.6
Dickinson
17.1
Eaton
22.5
Emmet
19.2
Genesee
26.2
Gladwin
30.8
Gogebic
17.3
Grand Traverse
20.2
Gratiot
23.6
Hillsdale
25.1
Houghton
16.1
Huron
21.0
Ingham
20.3
Ionia
26.9
Iosco
21.7
Iron
21.0
Isabella
17.8
Jackson
23.1
Kalamazoo
20.4
Kalkaska
28.6
Kent
21.1
Keweenaw
21.6
Lake
28.6
Lapeer
34.9
Leelanau
21.9
Lenawee
27.0
Livingston
32.5
Luce
14.2
Mackinac
20.3
Macomb
27.8
Manistee
21.1
Marquette
17.8
Mason
17.4
Mecosta
23.6
Menominee
21.0
Midland
21.6
Missaukee
20.6
Monroe
25.0
Montcalm
29.5
Montmorency
27.0
Muskegon
21.7
Newaygo
28.5
Oakland
26.8
Oceana
21.9
Ogemaw
24.0
Ontonagon
23.8
Osceola
24.9
Oscoda
20.3
Otsego
19.2
Ottawa
20.5
Presque Isle
25.2
Roscommon
24.2
Saginaw
21.9
Sanilac
27.8
Schoolcraft
18.7
Shiawassee
27.5
St. Clair
29.4
St. Joseph
21.6
Tuscola
29.5
Van Buren
23.9
Washtenaw
24.0
Wayne
25.3
Wexford
21.2
Value for Michigan (Minutes): 24.5
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.
