This statistic shows the average annual distance traveled by a passenger cars in France from 2004 to 2018, by fuel type, in kilometers. It turns out that in 2018, a gasoline passenger car traveled an average of more than 8,900 kilometers, while for a diesel passenger car this distance was 15,895 kilometers.

According to a survey conducted in July 2024 in Japan, 24.2 percent of car owners reported traveling between 3,000 and 5,000 kilometers per year with their private passenger cars, making it the most common travel distance. On average, respondents traveled 6,972 kilometers per year.

This statistic compares the average distance travelled per person annually for all purposes in England in 2018, by mode of transport. Car drivers covered the greatest distance, at 3,244 miles per person per year.

This statistic provides information about the average distance travelled by car sharing users in the two biggest Italian cities, namely Rome and Milan, from 2015 to 2018. The average distance covered by car sharing users in Rome and Milan remained relatively constant during the period under observation: eight kilometers and seven kilometers, respectively.

**This data set was last updated 3:30 PM ET Monday, January 4, 2021. The last date of data in this dataset is December 31, 2020. **

Overview

Data shows that mobility declined nationally since states and localities began shelter-in-place strategies to stem the spread of COVID-19. The numbers began climbing as more people ventured out and traveled further from their homes, but in parallel with the rise of COVID-19 cases in July, travel declined again.

This distribution contains county level data for vehicle miles traveled (VMT) from StreetLight Data, Inc, updated three times a week. This data offers a detailed look at estimates of how much people are moving around in each county.

Data available has a two day lag - the most recent data is from two days prior to the update date. Going forward, this dataset will be updated by AP at 3:30pm ET on Monday, Wednesday and Friday each week.

This data has been made available to members of AP’s Data Distribution Program. To inquire about access for your organization - publishers, researchers, corporations, etc. - please click Request Access in the upper right corner of the page or email kromano@ap.org. Be sure to include your contact information and use case.

Findings

• Nationally, data shows that vehicle travel in the US has doubled compared to the seven-day period ending April 13, which was the lowest VMT since the COVID-19 crisis began. In early December, travel reached a low not seen since May, with a small rise leading up to the Christmas holiday.
• Average vehicle miles traveled continues to be below what would be expected without a pandemic - down 38% compared to January 2020. September 4 reported the largest single day estimate of vehicle miles traveled since March 14.
• New Jersey, Michigan and New York are among the states with the largest relative uptick in travel at this point of the pandemic - they report almost two times the miles traveled compared to their lowest seven-day period. However, travel in New Jersey and New York is still much lower than expected without a pandemic. Other states such as New Mexico, Vermont and West Virginia have rebounded the least. ## About This Data The county level data is provided by StreetLight Data, Inc, a transportation analysis firm that measures travel patterns across the U.S.. The data is from their Vehicle Miles Traveled (VMT) Monitor which uses anonymized and aggregated data from smartphones and other GPS-enabled devices to provide county-by-county VMT metrics for more than 3,100 counties. The VMT Monitor provides an estimate of total vehicle miles travelled by residents of each county, each day since the COVID-19 crisis began (March 1, 2020), as well as a change from the baseline average daily VMT calculated for January 2020. Additional columns are calculations by AP.

Included Data

01_vmt_nation.csv - Data summarized to provide a nationwide look at vehicle miles traveled. Includes single day VMT across counties, daily percent change compared to January and seven day rolling averages to smooth out the trend lines over time.

02_vmt_state.csv - Data summarized to provide a statewide look at vehicle miles traveled. Includes single day VMT across counties, daily percent change compared to January and seven day rolling averages to smooth out the trend lines over time.

03_vmt_county.csv - Data providing a county level look at vehicle miles traveled. Includes VMT estimate, percent change compared to January and seven day rolling averages to smooth out the trend lines over time.

Additional Data Queries

* Filter for specific state - filters 02_vmt_state.csv daily data for specific state.

* Filter counties by state - filters 03_vmt_county.csv daily data for counties in specific state.

* Filter for specific county - filters 03_vmt_county.csv daily data for specific county.

Interactive

The AP has designed an interactive map to show percent change in vehicle miles traveled by county since each counties lowest point during the pandemic:

@(https://interactives.ap.org/vmt-map/)

Interactive Embed Code

Using the Data

This data can help put your county's mobility in context with your state and over time. The data set contains different measures of change - daily comparisons and seven day rolling averages. The rolling average allows for a smoother trend line for comparison across counties and states. To get the full picture, there are also two available baselines - vehicle miles traveled in January 2020 (pre-pandemic) and vehicle miles traveled at each geography's low point during the pandemic.

Caveats

• The data from StreetLight Data, Inc does not include data for some low-population counties with low VMT (<5,000 miles/day in their baseline month of January 2020). In our analyses, we only include the 2,779 counties that have daily data for the entire period (March 1, 2020 to current).
• In some cases, a lack of decline in mobility from March to April can indicate that movement in the county is essential to keeping the larger economy going or that residents need to drive further to reach essentials businesses like grocery stores compared to other counties.
• The VMT includes both passenger and commercial miles, so truck traffic is included. However, the proxy is based on the "total number of trip starts and ends for all devices whose most frequent location is in this county". It does not count the VMT of trucks cutting through a county.
• For those instances where travel begins in one county and ends in another, the county where the miles are recorded is always the vehicle’s home county. ###### Contact reporter Angeliki Kastanis at akastanis@ap.org.

This statistic shows the average annual journey of a heavy vehicle in France between 2004 and 2018, according to the type of vehicle and in kilometers. In 2009, a heavy vehicle traveled on average more than 33,900 kilometers per year, while in 2018 this distance was approximately 32,250 kilometers.

Graph and download economic data for Vehicle Miles Traveled (TRFVOLUSM227NFWA) from Jan 1970 to Jan 2025 about miles, travel, vehicles, and USA.

This graph illustrates the average annual journeys of light commercial vehicles in France between 2004 and 2018, by type of fuel and in kilometers. In 2009, a light gasoline utility vehicle traveled on average more than 7,500 kilometers, while in 2017 the same type of vehicle traveled more than 7,800 kilometers on average.

Daily vehicle miles traveled (VMT) is a distance- and volume-based measure of driving on roadways for all motorized vehicle types—car, bus, motorcycle, and truck—on an average day. Per capita VMT is the same measure divided by the same area's population for the same year. Per vehicle VMT divides VMT by the number of household vehicles available by residents of that geography in the same year. These three value types can be selected in the dropdown in the first chart below. Use the legend items to explore various geographies. The second chart below shows per capita and total personal vehicles available to the region’s households from the American Community Survey.

Normalizing VMT by a county or region's population, or household vehicles, is helpful for context, but does not have complete parity with what is measured in VMT estimates. People and vehicles come into the region from other places, just as people and vehicles leave the region to visit other places. VMT per capita compares all miles traveled on the region's roads to the region's population (for all ages) from the U.S. Census Bureau's latest population estimates. Vehicle counts for VMT are classified by vehicle types, but not by vehicle ownership. In 2017, statewide estimates for VMT by motorcycles, passenger cars, and two-axle single-unit trucks with four wheels made up 88% of Pennsylvania's VMT, and 95% of New Jersey's. These vehicle types are highly likely to be personal vehicles, owned by households, but a small percent could be fleet vehicles of companies or governments. The remaining VMT is made up of vehicle types like school and commercial buses and trucks with more than two axles so they are highly likely to be commercial vehicles.

The graph displays the average miles driven per person in the United States from 1980 to 2022. The x-axis represents the years, while the y-axis shows the average miles driven annually by one person. The data shows that the lowest average was 10,511 miles in 1980, and the highest was 14,906 miles in 2004. A notable drop occurred in 2020, with the average falling to 12,724 miles, likely reflecting reduced travel during the COVID-19 pandemic. Overall, the data highlights a long-term increase in driving over the decades, with fluctuations in recent years.

This table contains information regarding the mobility of the residents of the Netherlands aged 6 or older in private households, so excluding residents of institutions and homes. The table contains per person per day /year an overview of the average number of trips, the average distance travelled and the average time travelled. These are regular trips on Dutch territory, including domestic holiday mobility. The distance travelled is based on stage information. Excluded in this table is mobility based on series of calls trips. The mobility behaviour is broken down by trip characteristics, modes of travel, and region characteristics. The data used are retrieved from The Dutch National travel survey named Onderweg in Nederland (ODiN).

Data available from: 2018

Status of the figures: The figures in this table are final.

Changes as of 4 July 2024: The figures for year 2023 are added.

When will new figures be published? Figures for the 2024 research year will be published in mid-2025

Graph and download economic data for Moving 12-Month Total Vehicle Miles Traveled (M12MTVUSM227SFWA) from Dec 2000 to Jan 2025 about miles, 1-year, travel, vehicles, and USA.

This table contains data on the annual miles traveled by place of occurrence and by mode of transportation (vehicle, pedestrian, bicycle), for California, its regions, counties, and cities/towns. The ratio uses data from the California Department of Transportation, the U.S. Department of Transportation, and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Miles traveled by individuals and their choice of mode – car, truck, public transit, walking or bicycling – have a major impact on mobility and population health. Miles traveled by automobile offers extraordinary personal mobility and independence, but it is also associated with air pollution, greenhouse gas emissions linked to global warming, road traffic injuries, and sedentary lifestyles. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which has many documented health benefits. More information about the data table and a data dictionary can be found in the About/Attachments section.

The graph displays the total miles of travel in the U.S. from 1980 to 2022. The x-axis represents the years, while the y-axis shows the total miles traveled. The data reveals that the highest number of miles driven occurred in 2019, with over 3.26 trillion miles traveled, while 2020 saw a significant drop to approximately 2.9 trillion miles due to the COVID-19 pandemic. Overall, miles driven steadily increased from 1980 to 2019, with some fluctuations in later years, reflecting shifts in driving habits, economic factors, and public health events.

How many people are staying at home? How far are people traveling when they don’t stay home? Which states and counties have more people taking trips? The Bureau of Transportation Statistics (BTS) now provides answers to those questions through our mobility statistics program.

The "Trips by Distance" data and number of people staying home and not staying home are estimated for the Bureau of Transportation Statistics by the Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland. The travel statistics are produced from an anonymized national panel of mobile device data from multiple sources. All data sources used in the creation of the metrics contain no personal information. Data analysis is conducted at the aggregate national, state, and county levels. A weighting procedure expands the sample of millions of mobile devices, so the results are representative of the entire population in a nation, state, or county. To assure confidentiality and support data quality, no data are reported for a county if it has fewer than 50 devices in the sample on any given day.

Trips are defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Home locations are imputed on a weekly basis. A movement with multiple stays of longer than 10 minutes before returning home is counted as multiple trips. Trips capture travel by all modes of transportation. including driving, rail, transit, and air.

The daily travel estimates are from a mobile device data panel from merged multiple data sources that address the geographic and temporal sample variation issues often observed in a single data source. The merged data panel only includes mobile devices whose anonymized location data meet a set of data quality standards, which further ensures the overall data quality and consistency. The data quality standards consider both temporal frequency and spatial accuracy of anonymized location point observations, temporal coverage and representativeness at the device level, spatial representativeness at the sample and county level, etc. A multi-level weighting method that employs both device and trip-level weights expands the sample to the underlying population at the county and state levels, before travel statistics are computed.

These data are experimental and may not meet all of our quality standards. Experimental data products are created using new data sources or methodologies that benefit data users in the absence of other relevant products. We are seeking feedback from data users and stakeholders on the quality and usefulness of these new products. Experimental data products that meet our quality standards and demonstrate sufficient user demand may enter regular production if resources permit.

These data are made available under a public domain license. Data should be attributed to the "Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland and the United States Bureau of Transportation Statistics."

Daily data for a given week will be uploaded to the BTS website within 9-10 days of the end of the week in question (e.g., data for Sunday September 17-Saturday September 23 would be updated on Tuesday, October 3). All BTS visualizations and tables that rely on these data will update at approximately 10am ET on days when new data are received, processed, and uploaded.

The methodology used to develop these data can be found at: https://rosap.ntl.bts.gov/view/dot/67520.

Annual Vehicle Miles of Travel (AVMT) represents the estimated number of miles driven on Maryland's public highways for a given year. There are two components used to estimate AVMT - traffic count data and highway mileage. Traffic count data is summarized and reported as Annual Average Daily Traffic (AADT).

AADTs are calculated from short-term (48-hour) traffic counts performed on all publicly maintained roads in Maryland (including county and municipal). These counts are factored to account for seasonal variation in traffic patterns and represent an “Average Day”.

For planning purposes, AADT's are assigned to highway segments in order to provide a picture of traffic patterns is on the highway system on an average day. Highway mileage statistics are complied annually based on mileage reports from the local jurisdictions and SHA and MDTA offices. Any mileage changes are field verified by SHA's data collections crews.

AVMT is calculated by multiplying the AADT on a road segment by the segment length. Because AADT represents Daily traffic, the result is multiplied by 365 to represent Annual Vehicle Miles of Travel. (AVMT = AADT X SECTION LENGTH X365)

This statistic illustrates the average distance travelled per person annually for leisure purposes, such as visiting friends at home and elsewhere, entertainment, sport, holiday or day trip, in England in 2018, by mode of transport. Travel by car or van as a passenger was in first place, with an average of 1,053 miles travelled per person per year for leisure purposes.

This table contains figures on traffic performance (vehicle-kilometres) of passenger cars, delivery vans, lorries, semi-trailers, special purpose vehicles and buses.
Vehicle-kilometres of Dutch vehicles have been broken down by Dutch vehicles on Dutch territory and Dutch vehicles on foreign territory.
In addition, there are figures on the total distance covered on Dutch territory. A distinction is made between kilometres covered by Dutch vehicles and kilometres by foreign vehicles.
From 2016 up the kilometres driven by busses are no longer devided in kilometres driven on Dutch or on foreign roads. The vehicle population used to estimate the kilometres is based on the vehicle fleet statistics. The population of the figures in this table is based on the old selection method of the vehicle fleet. The difference between the old and the new selection method is described in a methodological report, see paragraph 4. The data series of vehicle kilometres estimated for the old population ends with 2020. The data series based on the new population is available starting from 2018. The way in which the vehicle kilometres are estimated has not changed, only the population.

For the 2020 data a correction factor was implemented to correct for the ‘smoothing effect’ caused by the method. The smoothing effect smoothes out yearly variation in the data and this results in a distorted picture of periods of time when mobility patterns suddenly change drastically, like happened in 2020 due to COVID-19.

Data available from: 1990 to 2020

Status of the figures: The figures in this table up to and including 2018 are definitive. Figures over 2019 and 2020 have a provisional status.

Changes as of 10 November 2022: None, this table has been discontinued. This table is followed by the table Traffic performance motor vehicles; kilometres, type of vehicle, territory, see paragraph 3.

When will new figures be published? No longer applicable.