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.

Dataset from Land Transport Authority. For more information, visit https://data.gov.sg/datasets/d_bdc4c6434e47b055de4b5f2fde10c1af/view

According to a survey conducted in 2025 in Japan, **** 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 ***** kilometers per year.

According to a survey conducted in July 2025, car owners in Japan traveled with their private vehicles approximately **** thousand kilometers per year on average, decreasing from around **** thousand kilometers in the previous year. Maintaining a car in Japan is costly Consumer estimates regarding car maintenance surpassed the 10,000 Japanese yen benchmark: fuel, insurance, automobile taxes, and vehicle inspection were the most burdensome costs. While it is possible to mitigate some of those, ownership-inherent taxes, inspections, and insurance are unavoidable. Throughout the ownership, vehicle owners pay an annual tonnage tax (at least ***** yen; weight-based) plus an automobile tax or mini-vehicle tax (at least ****** yen for cars; displacement-based in principle). Mandatory vehicle liability insurance adds to the overall costs, as do vehicle inspections, which can range between 10,000 yen and ****** yen every other year. For single households, vehicle-related costs are more often than not unreasonable. Most families, on the other hand, invest in a car. How to save on car maintenance expenses in Japan Driving economically and avoiding Japan’s expensive toll roads might be the simplest way, but the vehicle choice might be even more impactful. For example, regular automobile taxes are considerably more costly than mini-vehicle taxes. Kei cars are light vehicles that typically belong to a lower tonnage tax class and have superior fuel efficiency, making them an economic vehicle choice. Unsurprisingly, kei cars are quite popular in Japan. Electric vehicles might be even more economical considering all maintenance expenses since they also receive various exemptions and subsidies. The downside: their purchase price is still a reason for many to dismiss them. Yet another popular option in Japan is not to buy but to rent, lease, or share a passenger car, reducing expenses significantly and saving worries about maintenance altogether.

Graph and download economic data for Moving 12-Month Total Vehicle Miles Traveled (M12MTVUSM227NFWA) from Dec 1970 to Sep 2025 about miles, travel, vehicles, and USA.

China Transport: Average Distance: Passenger data was reported at 189.000 km in 2023. This records a decrease from the previous number of 231.261 km for 2022. China Transport: Average Distance: Passenger data is updated yearly, averaging 80.942 km from Dec 1950 (Median) to 2023, with 74 observations. The data reached an all-time high of 237.976 km in 2021 and a record low of 64.000 km in 1982. China Transport: Average Distance: Passenger data remains active status in CEIC and is reported by Ministry of Transport. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TA: Transport: Passenger and Freight Average Distance.

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.

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.

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.

Used cars in the Netherlands had the highest average mileage in all European countries surveyed. Spain was second in the ranking as the only other country with an average used car mileage above ****** kilometers. In contrast, used cars in Latvia had the lowest mileage, with user self-reports amounting to an average per used car below ****** kilometers.

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.

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.

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 table contains figures on traffic performance (vehicle kilometres) and average annual kilometers traveled by passenger cars, broken down by age of the vehicle, ownership situation and fuel type. Vehicle kilometers and the average annual kilometers of Dutch passenger cars are broken down into Dutch vehicles on Dutch territory and Dutch vehicles on foreign territory. In addition, there are figures for the total distance traveled on Dutch territory. A distinction is made between kilometers traveled by Dutch and foreign vehicles. The vehicle population for which mileage is estimated is based on motor vehicle fleet statistics. The population of the figures in this table is based on the old motor vehicle fleet selection method. The difference between the old and the new selection method is described in a method report, see point 4. The series of kilometers estimated on the basis of the old vehicle population runs up to and including reporting year 2020. The series based on the new population is available from of the 2018 reporting year. The way in which the kilometers are estimated has not changed, only the population. The figures for the 2020 reporting year have been corrected for the smoothing effect of the method by means of a correction factor. This smoothing effect smoothes out the annual variation in the figures. This gives a distorted picture of periods in which mobility suddenly changes radically, such as in 2020 as a result of the corona crisis. Data available from: 1990 up to and including 2020 Status of the figures: The figures up to and including 2019 are final and the figures for 2020 have a provisional status. Changes as of November 10, 2022: None, this table has been discontinued. This table is followed by the passenger car traffic performance table; kilometres, fuel type, territory, see section 3. When will new figures be published? Not applicable anymore.

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 ***** kilometers, while in 2017 the same type of vehicle traveled more than ***** kilometers on average.