When asked about "Car ownership", * percent of U.S. respondents answer "Yes, a company car". This online survey was conducted in 2025, among ****** consumers. Looking to gain valuable insights about car owners across the globe? Check out our reports about consumers of car brands worldwide. These reports provide readers with a detailed understanding of car owners: their identities, preferences, opinions, and how to effectively engage with them.
This statistic compares mileage for different travel purposes according to the car ownership type in Great Britain in 2017. People driving company cars travelled a lot more than those with private cars, due to the extra distances travelled for business and for commuting.
Accessible Tables and Improved Quality
As part of the Analysis Function Reproducible Analytical Pipeline Strategy, processes to create all National Travel Survey (NTS) statistics tables have been improved to follow the principles of Reproducible Analytical Pipelines (RAP). This has resulted in improved efficiency and quality of NTS tables and therefore some historical estimates have seen very minor change, at least the fifth decimal place.
All NTS tables have also been redesigned in an accessible format where they can be used by as many people as possible, including people with an impaired vision, motor difficulties, cognitive impairments or learning disabilities and deafness or impaired hearing.
If you wish to provide feedback on these changes then please contact us.
NTS0403: https://assets.publishing.service.gov.uk/media/66be28fa3effd5b79ba49199/nts0403.ods">Average number of trips, miles and time spent travelling by trip purpose: England, 1995 onwards (ODS, 56.4 KB)
NTS0407: https://assets.publishing.service.gov.uk/media/66be28fab45d6a81cd314723/nts0407.ods">Long distance trips within Great Britain by purpose and length: English households, 2002 onwards (ODS, 43.7 KB)
NTS0408: https://assets.publishing.service.gov.uk/media/66be28fac32366481ca491ae/nts0408.ods">Purpose of next trip by sex and previous trip: England, 2002 onwards (ODS, 45.2 KB)
NTS0409: https://assets.publishing.service.gov.uk/media/66be28fac909b91981323efc/nts0409.ods">Average number of trips and distance travelled by purpose and main mode: England, 2002 onwards (ODS, 105 KB)
NTS0412: https://assets.publishing.service.gov.uk/media/66be28fa3cc0741b9231471f/nts0412.ods">Commuter trips and distance by employment status and main mode: England, 2002 onwards (ODS, 53.8 KB)
NTS0502: https://assets.publishing.service.gov.uk/media/66be28fac909b91981323efd/nts0502.ods">Trip start time by trip purpose (Monday to Friday only): England, 2002 onwards (ODS, 146 KB)
NTS0504: https://assets.publishing.service.gov.uk/media/66be28fa0a079b65ea323eda/nts0504.ods">Average number of trips by day of the week or month and purpose or main mode: England, 2002 onwards (ODS, 141 KB)
NTS0611: https://assets.publishing.service.gov.uk/media/66be28fa0a079b65ea323edb/nts0611.ods">Average nu
Data files containing detailed information about vehicles in the UK are also available, including make and model data.
Some tables have been withdrawn and replaced. The table index for this statistical series has been updated to provide a full map between the old and new numbering systems used in this page.
Tables VEH0101 and VEH1104 have not yet been revised to include the recent changes to Large Goods Vehicles (LGV) and Heavy Goods Vehicles (HGV) definitions for data earlier than 2023 quarter 4. This will be amended as soon as possible.
Overview
VEH0101: https://assets.publishing.service.gov.uk/media/6846e8dc57f3515d9611f119/veh0101.ods">Vehicles at the end of the quarter by licence status and body type: Great Britain and United Kingdom (ODS, 151 KB)
Detailed breakdowns
VEH0103: https://assets.publishing.service.gov.uk/media/6846e8dcd25e6f6afd4c01d5/veh0103.ods">Licensed vehicles at the end of the year by tax class: Great Britain and United Kingdom (ODS, 33 KB)
VEH0105: https://assets.publishing.service.gov.uk/media/6846e8dd57f3515d9611f11a/veh0105.ods">Licensed vehicles at the end of the quarter by body type, fuel type, keepership (private and company) and upper and lower tier local authority: Great Britain and United Kingdom (ODS, 16.3 MB)
VEH0206: https://assets.publishing.service.gov.uk/media/6846e8dee5a089417c806179/veh0206.ods">Licensed cars at the end of the year by VED band and carbon dioxide (CO2) emissions: Great Britain and United Kingdom (ODS, 42.3 KB)
VEH0601: https://assets.publishing.service.gov.uk/media/6846e8df5e92539572806176/veh0601.ods">Licensed buses and coaches at the end of the year by body type detail: Great Britain and United Kingdom (ODS, 24.6 KB)
VEH1102: https://assets.publishing.service.gov.uk/media/6846e8e0e5a089417c80617b/veh1102.ods">Licensed vehicles at the end of the year by body type and keepership (private and company): Great Britain and United Kingdom (ODS, 146 KB)
VEH1103: https://assets.publishing.service.gov.uk/media/6846e8e0e5a089417c80617c/veh1103.ods">Licensed vehicles at the end of the quarter by body type and fuel type: Great Britain and United Kingdom (ODS, 992 KB)
VEH1104: https://assets.publishing.service.gov.uk/media/6846e8e15e92539572806177/veh1104.ods">Licensed vehicles at the end of the
Changes to tables including car mileage data (NTS0901, NTS0904)
Following a user engagement exercise, the presentation of the car mileage estimates has changed for 2023, to include more car types and fuel types (subject to availability of data) and to discontinue providing a private or company car breakdown. These changes have resulted in revisions to the estimates in the backseries. Please see table notes for more details.
Previous versions of these tables (up to 2022) are available.
NTS0901: https://assets.publishing.service.gov.uk/media/66ce0f47face0992fa41f65b/nts0901.ods">Annual mileage of cars by ownership, fuel type and trip purpose: England, 2002 onwards (ODS, 12.8 KB)
NTS0904: https://assets.publishing.service.gov.uk/media/66ce0f5e4e046525fa39cf7e/nts0904.ods">Annual mileage band of cars: England, 2002 onwards (ODS, 14 KB)
NTS0905: https://assets.publishing.service.gov.uk/media/66ce0f6f25c035a11941f655/nts0905.ods">Average car or van occupancy and lone driver rate by trip purpose: England, 2002 onwards (ODS, 18 KB)
NTS0908: https://assets.publishing.service.gov.uk/media/66ce0f89bc00d93a0c7e1f74/nts0908.ods">Where vehicle parked overnight by rural-urban classification of residence: England, 2002 onwards (ODS, 14.7 KB)
National Travel Survey statistics
Email mailto:national.travelsurvey@dft.gov.uk">national.travelsurvey@dft.gov.uk
To hear more about DfT statistical publications as they are released, follow us on X at https://x.com/dftstats" class="govuk-link">DfTstats.
https://data.gov.tw/licensehttps://data.gov.tw/license
The car owner's statistics by vehicle type and gender
Data tables containing aggregated information about vehicles in the UK are also available.
A number of changes were introduced to these data files in the 2022 release to help meet the needs of our users and to provide more detail.
Fuel type has been added to:
Historic UK data has been added to:
A new datafile has been added df_VEH0520.
We welcome any feedback on the structure of our data files, their usability, or any suggestions for improvements; please contact vehicles statistics.
CSV files can be used either as a spreadsheet (using Microsoft Excel or similar spreadsheet packages) or digitally using software packages and languages (for example, R or Python).
When using as a spreadsheet, there will be no formatting, but the file can still be explored like our publication tables. Due to their size, older software might not be able to open the entire file.
df_VEH0120_GB: https://assets.publishing.service.gov.uk/media/68494aca74fe8fe0cbb4676c/df_VEH0120_GB.csv">Vehicles at the end of the quarter by licence status, body type, make, generic model and model: Great Britain (CSV, 58.1 MB)
Scope: All registered vehicles in Great Britain; from 1994 Quarter 4 (end December)
Schema: BodyType, Make, GenModel, Model, Fuel, LicenceStatus, [number of vehicles; 1 column per quarter]
df_VEH0120_UK: https://assets.publishing.service.gov.uk/media/68494acb782e42a839d3a3ac/df_VEH0120_UK.csv">Vehicles at the end of the quarter by licence status, body type, make, generic model and model: United Kingdom (CSV, 34.1 MB)
Scope: All registered vehicles in the United Kingdom; from 2014 Quarter 3 (end September)
Schema: BodyType, Make, GenModel, Model, Fuel, LicenceStatus, [number of vehicles; 1 column per quarter]
df_VEH0160_GB: https://assets.publishing.service.gov.uk/media/68494ad774fe8fe0cbb4676d/df_VEH0160_GB.csv">Vehicles registered for the first time by body type, make, generic model and model: Great Britain (CSV, 24.8 MB)
Scope: All vehicles registered for the first time in Great Britain; from 2001 Quarter 1 (January to March)
Schema: BodyType, Make, GenModel, Model, Fuel, [number of vehicles; 1 column per quarter]
df_VEH0160_UK: https://assets.publishing.service.gov.uk/media/68494ad7aae47e0d6c06e078/df_VEH0160_UK.csv">Vehicles registered for the first time by body type, make, generic model and model: United Kingdom (CSV, 8.26 MB)
Scope: All vehicles registered for the first time in the United Kingdom; from 2014 Quarter 3 (July to September)
Schema: BodyType, Make, GenModel, Model, Fuel, [number of vehicles; 1 column per quarter]
In order to keep the datafile df_VEH0124 to a reasonable size, it has been split into 2 halves; 1 covering makes starting with A to M, and the other covering makes starting with N to Z.
df_VEH0124_AM: <a class="govuk-link" href="https://assets.
This statistic shows the results of a survey conducted in the United Kingdom in 2018 on the reasons to own a car. Some ** percent of respondents stated that they want to own a car because like driving. The Survey Data Table for the Statista survey Cars & Mobility in the United Kingdom 2018 contains the complete tables for the survey including various column headings.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.
This statistic shows the percentage of households owning a passenger car in 2014, with a breakdown by major economy. In 2014, more than ** percent of Japanese households had registered at least one passenger vehicle.
Car ownership in households
Unsurprisingly, most countries with high car ownership rates in 2014 were regions with advanced economies. Americans were on the top of the list among surveyed countries, with ** percent reporting to own a car. More common places to find a car included Germany, South Korea, France, Malaysia, and Japan, each with more than an ** percent car ownership rate. By contrast, Vietnam and Bangladesh had the least passenger vehicles registered, with only two percent of the population reporting to own a car.
In the United States, a great share of people from affluent households reported owning or leasing a vehicle falling into the truck, SUV, and van category, followed by crossover vehicle. Toyota, Honda and Nissan were the best-selling passenger car manufacturers in the country, in terms of sales in 2015.
Two-wheelers, the more economical alternative to a car, were more often seen in South and Southeast Asia, as more than ** percent of households in Thailand, Vietnam, Indonesia, and Malaysia owned a motorcycle or scooter. Overall, bicycles were more common around the globe than cars. Countries with the most bike owners include Germany, Indonesia, China, and India.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This paper examines the association between the Great Recession and real assets among families with young children. Real assets such as homes and cars are key indicators of economic well-being that may be especially valuable to low-income families. Using longitudinal data from the Fragile Families and Child Wellbeing Study (N = 4,898), we investigate the association between the city unemployment rate and home and car ownership and how the relationship varies by family structure (married, cohabiting, and single parents) and by race/ethnicity (White, Black, and Hispanic mothers). Using mother fixed-effects models, we find that a one percentage point increase in the unemployment rate is associated with a -0.5 percentage point decline in the probability of home ownership and a -0.7 percentage point decline in the probability of car ownership. We also find that the recession was associated with lower levels of home ownership for cohabiting families and for Hispanic families, as well as lower car ownership among single mothers and among Black mothers, whereas no change was observed among married families or White households. Considering that homes and cars are the most important assets among middle and low-income households in the U.S., these results suggest that the rise in the unemployment rate during the Great Recession may have increased household asset inequality across family structures and race/ethnicities, limiting economic mobility, and exacerbating the cycle of poverty.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Road Traffic Volumes by Fuel Type, County of Ownership, Year of Registration, Type of Vehicle, Year and Statistic
View data using web pages
Download .px file (Software required)
Transportation Spending by Income Quintile and Vehicle Ownership. Looking at number of vehicles per household by income quintile; percent of households with no vehicle by income quintile; transportation spend by households with no vehicles; and transportation spend by households with at least one vehicle.
This data set provides a count and percentage of the number of cars owned by households sampled in obtaining data for the ACT Household Travel Survey.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Sample descriptive statistics by relationship status.
Talking about mobility, the highest car owners in selected countries worldwide can be found in Saudi Arabia, where ** percent of consumers are part of this category. The second highest ranking country is Malaysia with ** percent of respondents falling into this category. The last place is taken by Philippines.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.
As of Juanuary 2024, round ** percent of the respondents of a survey conducted by Rakuten Insight across India said that they owned a car, as opposed to approximately ** percent of respondents who don't own one. Vehicle ownership stood at *** vehicles for every thousand Indians at the end of financial year 2020.
The statistic presents the main reasons for Chinese luxury car owners to drive a luxury car in China as of 2015. During the survey, ** percent of the respondents had stated that they used their luxury car as status symbol.
According to a 2024 survey conducted by Rakuten Insight, about ** percent of Malaysian respondents stated that they owned a car. Car ownership rate in Malaysia is higher compared to its neighboring countries.
There is a sharp increase in vehicle ownership once income surpasses ****** U.S. dollars. The high running costs of owning a car makes it very difficult for low-income earners to have their own vehicle. The annual salary of those in the lowest income group shown would not cover the cost of the average second hand car.
When asked about "Car ownership", * percent of U.S. respondents answer "Yes, a company car". This online survey was conducted in 2025, among ****** consumers. Looking to gain valuable insights about car owners across the globe? Check out our reports about consumers of car brands worldwide. These reports provide readers with a detailed understanding of car owners: their identities, preferences, opinions, and how to effectively engage with them.