On average, there are 1.88 vehicles per U.S. household. According to the U.S. Department of Transportation, the percentage of households without a car or light truck came to around nine percent in 2017, meaning that about 90 percent of households had at least one light vehicle at their disposal in that same year.
Most Americans drive daily
In a recent Gallup poll among U.S. adults, about 64 percent of respondents claimed to drive daily, while another 19 percent of respondents stated that they would use a motor vehicle multiple times in an average week. These figures are in line with the U.S. motorization rate, which stood at 821 vehicles per 1,000 inhabitants in 2015.
These streets were made for driving
The United States has the most extensive road network, compared to any other country in the world: its road network encompasses almost 6.6 million kilometers or about four million miles. In 2018, there were about 270 million vehicles roaming the streets of the country.
Around **** of all car owners in the U.S. are over the age of 60 years old. High upfront and running costs can be expensive, and many Americans must either save up or wait until they have the income to afford vehicle ownership.
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Some tables have been withdrawn and replaced.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
According to the Statista Consumer Insights, carried out between October 2022 and September 2023, 87 percent of respondents in the United States indicated that they had access to a car in their household. This is a slight decrease compared to previous years. In 2019, 92 percent of respondents said that they had access to a car.
The fields available include make, model, year, trim, style, fuel type, MSRP, and many more.
We have developed this file to be tied to our Consumer Demographics Database so additional demographics can be applied as needed. Each record is ranked by confidence and only the highest quality data is used. This file contains over 180 million records in addition to over 1 million+ fresh automotive intender records per day.
Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.
BIGDBM Privacy Policy: https://bigdbm.com/privacy.html
The US Consumer Auto package includes every vehicle available in a household and is tied to the full US Consumer database.
Over the course of the 20th century, the number of operational motor vehicles in the United States grew significantly, from just 8,000 automobiles in the year 1900 to more than 183 million private and commercial vehicles in the late 1980s. Generally, the number of vehicles increased in each year, with the most notable exceptions during the Great Depression and Second World War.
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.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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The graph illustrates the number of registered cars in the United States from 1995 to 2023. The x-axis represents the years, spanning from 1995 to 2023, while the y-axis denotes the number of registered cars, ranging from 1,354 to 999,469. Throughout this period, the number of registered cars shows considerable fluctuations, with the highest count of 96,901,563 in 2022 and the lowest of 1,354 in 2006. Overall, there is a notable upward trend in car registrations over the years, despite intermittent decreases. The data is presented in a line graph format, effectively highlighting the annual changes and long-term growth in the number of registered vehicles in the United States.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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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.
Alesco Data's Automotive records are updated monthly from millions of proprietary sourced vehicle transactions. These incoming transactions are processed through compilation rules and are either added as new, incremental records to our file, or contribute to validating existing records.
Our recent focus is on compiling new vehicle ownership, and the file includes over 14.2 million late model vehicle owners (2020-2025).
We also append our Persistent ID, telephone numbers, and demographics for a complete file that can support your direct mail and email marketing campaigns, lead validation, and identity verification needs. A Persistent ID is assigned to each vehicle record and tracks consumers as they change addresses or phone numbers, and vehicles as they change owners.
The database is not derived from state motor vehicle databases and therefore not subject to the Shelby Act also known as the Driver's Privacy Protection Act (DPPA) of 2000. The data is deterministic and sources include sales and service data, warranty data and notifications, aftermarket repair and maintenance facilities, and scheduled maintenance records.
Fields Included: Make Model Year VIN Data Vehicle Class Code (crossover, SUV, full-size, mid-size, small) Vehicle Fuel Code (gas, flex, hybrid) Vehicle Style Code (sport, pickup, utility, sedan) Mileage Number of Vehicles per Household First seen date Last seen date Email
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.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The data set contains registered vehicle population count by various criteria such as vehicle class, vehicle status, vechicle make, vehicle model, vehicle year, plate class, plate declaration, county, weight related class and other vehicle decriptors.
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.
NTS0701: https://assets.publishing.service.gov.uk/media/66ce119ebc00d93a0c7e1f7a/nts0701.ods">Average number of trips, miles and time spent travelling by household car availability and personal car access: England, 2002 onwards (ODS, 36.5 KB)
NTS0702: https://assets.publishing.service.gov.uk/media/66ce119e4e046525fa39cf85/nts0702.ods">Travel by personal car access, sex and mode: England, 2002 onwards (ODS, 87.7 KB)
NTS0703: https://assets.publishing.service.gov.uk/media/66ce119f8e33f28aae7e1f7c/nts0703.ods">Household car availability by household income quintile: England, 2002 onwards (ODS, 17.4 KB)
NTS0704: https://assets.publishing.service.gov.uk/media/66ce119fface0992fa41f65e/nts0704.ods">Adult personal car access by household income quintile, aged 17 and over: England, 2002 onwards (ODS, 22.5 KB)
NTS0705: https://assets.publishing.service.gov.uk/media/66ce119f8e33f28aae7e1f7d/nts0705.ods">Average number of trips and miles by household income quintile and mode: England, 2002 onwards (ODS, 78.6 KB)
NTS0706: https://assets.publishing.service.gov.uk/media/66ce119f1aaf41b21139cf87/nts0706.ods">Average number of trips and miles by household type and mode: England, 2002 onwards (ODS, 89.8 KB)
NTS0707: https://assets.publishing.service.gov.uk/media/66ce119f4e046525fa39cf86/nts0707.ods">Adult personal car access and trip rates, by ethnic group, aged 17 and over: England, 2002 onwards (ODS, 28.2 KB)
NTS0708: https://assets.publishing.service.gov.uk/media/66ce119f1aaf41b21139cf88/nts0708.ods">Average number of trips and miles by National Statistics Socio-economic Classification and mode, aged 16 and over: England, 2004 onwards (<abbr title="OpenDocument Spreadsheet" class=
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.
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/
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France Motor Vehicle Ownership: HH: Area: Towns: Greater Paris and Paris data was reported at 64.700 % in 2017. This records an increase from the previous number of 59.700 % for 2015. France Motor Vehicle Ownership: HH: Area: Towns: Greater Paris and Paris data is updated yearly, averaging 62.400 % from Dec 2002 (Median) to 2017, with 15 observations. The data reached an all-time high of 64.700 % in 2017 and a record low of 59.700 % in 2015. France Motor Vehicle Ownership: HH: Area: Towns: Greater Paris and Paris data remains active status in CEIC and is reported by French Automobile Manufacturers Committee . The data is categorized under Global Database’s France – Table FR.TA004: Motor Vehicle Ownership per Household.
This shows the number of vehicles that were registered by Washington State Department of Licensing (DOL) each month. The data is separated by county for passenger vehicles and trucks. DOL integrates National Highway Traffic Safety Administration (NHTSA) data and the Environmental Protection Agency (EPA) fuel efficiency ratings with DOL titling and registration data to create this information.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides records of registered vehicles, detailing key attributes such as plate type, vehicle manufacturer, status, owner type, and model year. It also includes demographic information about vehicle owners, including gender, nationality group, and birth year. The dataset captures whether the vehicle has special permits (such as for handicapped drivers) and distinguishes between personal and other ownership types.This dataset is a valuable resource for transportation authorities, policymakers, and vehicle registration agencies analyzing trends in vehicle ownership.
VentiveIQ's auto owner profiles are built from a range of sources, including sales and service data, automobile warranty data, aftermarket repair and maintenance facilities, auto warranty notification, and scheduled maintenance records. Each record is matched with a Persistent ID, Household ID, and demographic data to facilitate precise targeting.
Empower your marketing efforts with potent auto ownership data that enables you to reach vehicle owners at the most critical decision-making period.
On average, there are 1.88 vehicles per U.S. household. According to the U.S. Department of Transportation, the percentage of households without a car or light truck came to around nine percent in 2017, meaning that about 90 percent of households had at least one light vehicle at their disposal in that same year.
Most Americans drive daily
In a recent Gallup poll among U.S. adults, about 64 percent of respondents claimed to drive daily, while another 19 percent of respondents stated that they would use a motor vehicle multiple times in an average week. These figures are in line with the U.S. motorization rate, which stood at 821 vehicles per 1,000 inhabitants in 2015.
These streets were made for driving
The United States has the most extensive road network, compared to any other country in the world: its road network encompasses almost 6.6 million kilometers or about four million miles. In 2018, there were about 270 million vehicles roaming the streets of the country.