Minnesota Average Commute Time by City

Data Item State
Mean travel time to work (minutes), workers age 16 years+, 2014-2018 - (Minutes)
City Value
Albert Lea 16.6
Albertville 29.8
Alexandria 13.8
Andover 29.8
Anoka 24.3
Apple Valley 25.1
Arden Hills 20.7
Austin 14.8
Baxter 18.9
Belle Plaine 27.2
Bemidji 14.4
Big Lake 33.4
Blaine 25.7
Bloomington 21.9
Brainerd 18.5
Brooklyn Center 24.1
Brooklyn Park 26.2
Buffalo 28.6
Burnsville 24.3
Cambridge 30.4
Champlin 27.2
Chanhassen 24.1
Chaska 25.4
Cloquet 19.6
Columbia Heights 26.1
Coon Rapids 26.4
Corcoran 28.0
Cottage Grove 25.3
Crookston 13.6
Crystal 22.9
Delano 28.3
Detroit Lakes 15.1
Duluth 17.1
Eagan 24.5
East Bethel 34.5
East Grand Forks 14.8
Eden Prairie 23.4
Edina 20.9
Elk River 31.4
Fairmont 14.6
Falcon Heights 20.1
Faribault 19.2
Farmington 28.9
Fergus Falls 13.1
Forest Lake 27.8
Fridley 23.8
Glencoe 30.5
Golden Valley 22.5
Grand Rapids 16.1
Ham Lake 30.4
Hastings 23.9
Hermantown 19.8
Hibbing 16.5
Hopkins 21.0
Hugo 29.0
Hutchinson 16.7
International Falls 9.6
Inver Grove Heights 22.6
Isanti 35.7
Jordan 26.6
Kasson 25.3
Lake City 18.6
Lake Elmo 24.8
Lakeville 26.3
Lino Lakes 27.0
Litchfield 17.0
Little Canada 22.5
Little Falls 21.1
Mahtomedi 25.6
Mankato 16.0
Maple Grove 26.0
Maplewood 25.2
Marshall 12.6
Mendota Heights 22.1
Minneapolis 23.1
Minnetonka 22.5
Minnetrista 28.1
Montevideo 14.2
Monticello 26.5
Moorhead 17.3
Morris 10.2
Mound 30.3
Mounds View 22.7
New Brighton 22.2
New Hope 22.6
New Prague 31.0
New Ulm 13.0
North Branch 34.0
North Mankato 17.2
North St. Paul 25.2
Northfield 21.5
Oak Grove 34.9
Oakdale 23.8
Orono 27.4
Otsego 29.5
Owatonna 16.7
Plymouth 23.9
Prior Lake 28.3
Ramsey 30.9
Red Wing 20.9
Richfield 21.5
Robbinsdale 23.5
Rochester 16.5
Rogers 28.0
Rosemount 26.5
Roseville 21.9
Sartell 21.5
Sauk Rapids 20.3
Savage 25.1
Shakopee 23.1
Shoreview 25.3
Shorewood 27.1
South St. Paul 19.9
Spring Lake Park 26.6
St. Anthony 21.2
St. Cloud 18.0
St. Francis 34.8
St. Joseph 19.6
St. Louis Park 22.1
St. Michael 34.0
St. Paul 24.0
St. Paul Park 24.0
St. Peter 18.5
Stewartville 21.0
Stillwater 25.0
Thief River Falls 11.0
Vadnais Heights 25.1
Victoria 27.3
Virginia 14.8
Waconia 26.9
Waite Park 17.5
Waseca 19.0
West St. Paul 21.9
White Bear Lake 24.4
Willmar 12.4
Winona 13.7
Woodbury 25.2
Worthington 13.4
Wyoming 30.2
Zimmerman 41.7

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.


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:

21.3% - 0.7% = 20.6% => Lower-bound estimate
21.3% + 0.7% = 22.0% => Upper-bound 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.

For this Fact, its estimates and margins of error along with percents and percent margins of errors can be found on American Community Survey, Data Profiles-Economic Characteristics

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