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
Aitkin
26.4
Anoka
27.9
Becker
22.1
Beltrami
19.3
Benton
23.3
Big Stone
18.5
Blue Earth
17.7
Brown
15.6
Carlton
23.0
Carver
26.4
Cass
23.6
Chippewa
15.8
Chisago
33.3
Clay
19.6
Clearwater
26.4
Cook
15.6
Cottonwood
16.4
Crow Wing
21.4
Dakota
24.7
Dodge
24.7
Douglas
18.4
Faribault
19.2
Fillmore
27.0
Freeborn
18.5
Goodhue
24.1
Grant
23.1
Hennepin
23.6
Houston
21.9
Hubbard
21.5
Isanti
34.6
Itasca
23.3
Jackson
17.1
Kanabec
31.2
Kandiyohi
17.5
Kittson
20.6
Koochiching
15.4
Lac qui Parle
16.1
Lake
21.1
Lake of the Woods
20.2
Le Sueur
26.4
Lincoln
23.0
Lyon
15.5
Mahnomen
19.3
Marshall
23.7
Martin
17.2
McLeod
22.6
Meeker
24.2
Mille Lacs
29.6
Morrison
26.6
Mower
17.8
Murray
19.6
Nicollet
18.4
Nobles
15.9
Norman
22.5
Olmsted
17.7
Otter Tail
21.3
Pennington
13.7
Pine
31.5
Pipestone
20.6
Polk
18.2
Pope
18.5
Ramsey
23.9
Red Lake
23.2
Redwood
17.8
Renville
19.8
Rice
23.0
Rock
18.9
Roseau
17.0
Scott
26.0
Sherburne
32.1
Sibley
25.2
St. Louis
19.9
Stearns
20.7
Steele
18.1
Stevens
11.8
Swift
18.0
Todd
24.5
Traverse
16.7
Wabasha
24.5
Wadena
21.3
Waseca
21.4
Washington
26.0
Watonwan
18.1
Wilkin
17.8
Winona
17.8
Wright
30.1
Yellow Medicine
17.9
Value for Minnesota (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.
