Total Vehicle Sales in the United States decreased to 15.30 Million in June from 15.70 Million in May of 2025. This dataset provides the latest reported value for - United States Total Vehicle Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Autos include all passenger cars, including station wagons. The U.S. Bureau of Economic Analysis releases auto and truck sales data, which are used in the preparation of estimates of personal consumption expenditures.

Application and use cases

1 )Market Analysis: Evaluate overall trends and regional variations in car sales to assess manufacturer performance, model preferences, and demographic insights. 2) Seasonal Patterns and Competitor Analysis: Investigate seasonal and cyclical patterns in sales. 3) Forecasting and Predictive Analysis Use historical data for forecasting and predict future market trends. Support marketing, advertising, and investment decisions based on insights. 4) Supply Chain and Inventory Optimization: Provide valuable data for stakeholders in the automotive industry.

Total Vehicle Sales in China increased to 2686000 Units in May from 2590000 Units in April of 2025. This dataset provides - China Total Vehicle Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Car Registrations in Canada increased to 195659 Units in April from 189046 Units in March of 2025. This dataset provides - Canada Total New Cars - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides values for TOTAL VEHICLE SALES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2024, the auto industry in the United States sold approximately 15.9 million light vehicle units. This figure includes retail sales of about three million passenger cars and just under 12.9 million light trucks. Lower fuel consumption There are many kinds of light vehicles available in the United States. Light-duty vehicles are popular for their utility and improved fuel economy, making them an ideal choice for savvy consumers. As of Model Year 2023, the light vehicle manufacturer with the best overall miles per gallon was Kia, with one gallon of gas allowing for 30.4 miles on the road. Higher brand satisfaction When asked about light vehicle satisfaction, consumers in the United States were most satisfied with Toyota, Subaru, Tesla, and Mercedes-Benz models. Another survey conducted in 2018 and quizzing respondents on their stance regarding the leading car brands indicated that Lexus was among the most dependable brands based on the number of problems reported per 100 vehicles.

Total Vehicle Sales in Chile decreased to 24281 Units in June from 24337 Units in May of 2025. This dataset provides - Chile Total Vehicle Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Number of units and total sales of new motor vehicles by type of vehicle, annual.

In financial year 2024, Maruti Suzuki sold approximately 1.6 million passenger cars across India. This made it the leading car manufacturer in terms of car sales in India, followed distantly by Hyundai and Tata. The automobile sector across India saw recovering from the impact of the coronavirus (COVID-19) pandemic in the same year. Is the Indian automobile market in trouble? There were more than 326 million vehicles registered in India in the financial year 2020. Vehicle registrations grew at a compound annual growth rate of over 10 percent between 2017 and 2020. However, due to economic slowdown, the introduction of new Bharat Stage Emission Standards VI (BS-VI) in 2019, and the impact of the coronavirus pandemic, the domestic sales of vehicles have been declining since the financial year 2020 for two consecutive years. This continued until the financial year 2023. New trend – electric vehicles With strong government support through policy initiatives such as the National Electric Mobility Mission Plan 2020 introduced in 2013, Faster Adoption and Manufacturing of (Hybrid &) Electric Vehicles (FAME) in 2015, and further FAME phase II in 2019, India was aiming to achieve 30 percent private electric vehicle ownership. As two-wheelers were the most popular types of automobiles for the last decade, in the financial year 2023, the majority of electric vehicles sold in India were also two-wheelers. The demand for electric vehicles is expected to rise significantly in the future.

Total Vehicle Sales in Thailand decreased to 50079 Units in June from 52229 Units in May of 2025. This dataset provides - Thailand Total Vehicle Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about United States Motor Vehicle Sales: Passenger Cars

• United States Motor Vehicle Sales: Passenger Cars was reported at 3,116,647.000 Unit in Dec 2023.
• This records an increase from the previous number of 2,858,575.000 Unit for Dec 2022.
• US Motor Vehicle Sales: Passenger Cars data is updated yearly, averaging 6,089,403.000 Unit from Dec 2005 to 2023, with 19 observations.
• The data reached an all-time high of 7,761,592.000 Unit in 2006 and a record low of 2,858,575.000 Unit in 2022.
• US Motor Vehicle Sales: Passenger Cars data remains active status in CEIC and is reported by International Organization of Motor Vehicle Manufacturers.
• The data is categorized under World Trend Plus’s Association: Automobile Sector – Table RA.OICA.MVS: Motor Vehicle Sales: by Country and Type: Passenger Car (PC).

In 2022, U.S. auto shoppers bought approximately 2.86 million autos. Meanwhile, light trucks accounted for more than 79 percent of light vehicles sold to individual customers and corporate fleets in the United States.

Quarterly data on vehicle registration by fuel type, vehicle type and number of vehicles, Canada, the provinces, census metropolitan areas and census sub-divisions.

Being one of the largest automotive sectors, India had over 326 million registered vehicles as of financial year 2020. It was the largest producer of two-wheelers across the globe in 2023. The market within the country was also dominated by this segment. In financial year 2024, over 17.97 million units of two-wheelers were sold domestically across the south Asian country. A decline in the sales volume of two-wheelers has been witnessed between 2020 and 2022. Hero MotoCorpHero MotoCorp had the maximum share in the two-wheeler segment in India. The company was the worldwide leader in two-wheeler manufacturing. The company has taken up the initiative of manufacturing electric scooters and bikes. To reduce the high battery costs that create a significant cost difference between the petrol and the battery variants, the Indian government has introduced the National Programme on Advanced Chemistry Cell (ACC) in 2022 to inventivize batery manufacturing. Two-wheeler market outlookThe Indian government has set a target to electrify a major proportion of the two-wheelers within the nation. However, the manufacturers have encouraged the government to adopt more ‘realistic’ expectations, as the former’s scheme would mean the electrification of over two million vehicles. With the two-wheeler industry estimated to grow at over nine percent in the next few years, more investments in the clean energy sector could pave a way for the domestic market.

Key information about India Motor Vehicle Sales: Passenger Cars

• India Motor Vehicle Sales: Passenger Cars was reported at 4,101,600.000 Unit in Dec 2023.
• This records an increase from the previous number of 3,792,444.000 Unit for Dec 2022.
• India Motor Vehicle Sales: Passenger Cars data is updated yearly, averaging 2,570,736.000 Unit from Dec 2005 to 2023, with 19 observations.
• The data reached an all-time high of 4,101,600.000 Unit in 2023 and a record low of 1,106,863.000 Unit in 2005.
• India Motor Vehicle Sales: Passenger Cars data remains active status in CEIC and is reported by International Organization of Motor Vehicle Manufacturers.
• The data is categorized under World Trend Plus’s Association: Automobile Sector – Table RA.OICA.MVS: Motor Vehicle Sales: by Country and Type: Passenger Car (PC).

Gain valuable insights into the automotive market with our comprehensive Car Prices Dataset. Designed for businesses, analysts, and researchers, this dataset provides real-time and historical car pricing data to support market analysis, pricing strategies, and trend forecasting.

Dataset Features

Vehicle Listings: Access detailed car listings, including make, model, year, trim, and specifications. Ideal for tracking market trends and pricing fluctuations. Pricing Data: Get real-time and historical car prices from multiple sources, including dealerships, marketplaces, and private sellers. Market Trends & Valuations: Analyze price changes over time, compare vehicle depreciation rates, and identify emerging pricing trends. Dealer & Seller Information: Extract seller details, including dealership names, locations, and contact information for lead generation and competitive analysis.

Customizable Subsets for Specific Needs Our Car Prices Dataset is fully customizable, allowing you to filter data based on vehicle type, location, price range, and other key attributes. Whether you need a broad dataset for market research or a focused subset for competitive analysis, we tailor the dataset to your needs.

Popular Use Cases

Market Analysis & Pricing Strategy: Track vehicle price trends, compare competitor pricing, and optimize pricing strategies for dealerships and resellers. Automotive Valuation & Depreciation Studies: Analyze historical pricing data to assess vehicle depreciation rates and predict future values. Competitive Intelligence: Monitor competitor pricing, dealership inventory, and promotional offers to stay ahead in the market. Lead Generation & Sales Optimization: Identify potential buyers and sellers, track demand for specific vehicle models, and enhance sales strategies. AI & Predictive Analytics: Leverage structured car pricing data for AI-driven forecasting, automated pricing models, and trend prediction.

Whether you're tracking car prices, analyzing market trends, or optimizing sales strategies, our Car Prices Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

1. Title: 1985 Auto Imports Database

2. Source Information: -- Creator/Donor: Jeffrey C. Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu) -- Date: 19 May 1987 -- Sources: 1) 1985 Model Import Car and Truck Specifications, 1985 Ward's Automotive Yearbook. 2) Personal Auto Manuals, Insurance Services Office, 160 Water Street, New York, NY 10038 3) Insurance Collision Report, Insurance Institute for Highway Safety, Watergate 600, Washington, DC 20037

3. Past Usage: -- Kibler,~D., Aha,~D.~W., & Albert,~M. (1989). Instance-based prediction of real-valued attributes. {\it Computational Intelligence}, {\it 5}, 51--57. -- Predicted price of car using all numeric and Boolean attributes -- Method: an instance-based learning (IBL) algorithm derived from a localized k-nearest neighbor algorithm. Compared with a linear regression prediction...so all instances with missing attribute values were discarded. This resulted with a training set of 159 instances, which was also used as a test set (minus the actual instance during testing). -- Results: Percent Average Deviation Error of Prediction from Actual -- 11.84% for the IBL algorithm -- 14.12% for the resulting linear regression equation

4. Relevant Information: -- Description This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars. The second rating corresponds to the degree to which the auto is more risky than its price indicates. Cars are initially assigned a risk factor symbol associated with its price. Then, if it is more risky (or less), this symbol is adjusted by moving it up (or down) the scale. Actuarians call this process "symboling". A value of +3 indicates that the auto is risky, -3 that it is probably pretty safe.

   The third factor is the relative average loss payment per insured vehicle year. This value is normalized for all autos within a particular size classification (two-door small, station wagons, sports/speciality, etc...), and represents the average loss per car per year.

   -- Note: Several of the attributes in the database could be used as a "class" attribute.

5. Number of Instances: 205

6. Number of Attributes: 26 total -- 15 continuous -- 1 integer -- 10 nominal

7. Attribute Information:
   Attribute: Attribute Range:

   1. symboling: -3, -2, -1, 0, 1, 2, 3.
   2. normalized-losses: continuous from 65 to 256.
   3. make: alfa-romero, audi, bmw, chevrolet, dodge, honda, isuzu, jaguar, mazda, mercedes-benz, mercury, mitsubishi, nissan, peugot, plymouth, porsche, renault, saab, subaru, toyota, volkswagen, volvo
   4. fuel-type: diesel, gas.
   5. aspiration: std, turbo.
   6. num-of-doors: four, two.
   7. body-style: hardtop, wagon, sedan, hatchback, convertible.
   8. drive-wheels: 4wd, fwd, rwd.
   9. engine-location: front, rear.
   10. wheel-base: continuous from 86.6 120.9.
   11. length: continuous from 141.1 to 208.1.
   12. width: continuous from 60.3 to 72.3.
   13. height: continuous from 47.8 to 59.8.
   14. curb-weight: continuous from 1488 to 4066.
   15. engine-type: dohc, dohcv, l, ohc, ohcf, ohcv, rotor.
   16. num-of-cylinders: eight, five, four, six, three, twelve, two.
   17. engine-size: continuous from 61 to 326.
   18. fuel-system: 1bbl, 2bbl, 4bbl, idi, mfi, mpfi, spdi, spfi.
   19. bore: continuous from 2.54 to 3.94.
   20. stroke: continuous from 2.07 to 4.17.
   21. compression-ratio: continuous from 7 to 23.
   22. horsepower: continuous from 48 to 288.
   23. peak-rpm: continuous from 4150 to 6600.
   24. city-mpg: continuous from 13 to 49.
   25. highway-mpg: continuous from 16 to 54.
   26. price: continuous from 5118 to 45400.

8. Missing Attribute Values: (denoted by "?") Attribute #: Number of instances missing a value:

   1. 41
   2. 2
   3. 4
   4. 4
   5. 2
   6. 2
   7. 4