Used Car Prices YoY in the United States decreased to 0 percent in October from 2 percent in September of 2025. This dataset includes a chart with historical data for the United States Used Car Prices YoY.

Graph and download economic data for Consumer Price Index for All Urban Consumers: New Vehicles in U.S. City Average (CUUR0000SETA01) from Mar 1947 to Sep 2025 about vehicles, urban, new, consumer, CPI, inflation, price index, indexes, price, and USA.

The Car Prices dataset contains detailed information about various car models, including their manufacturing year, make, model, trim, body type, transmission, and state of condition. With over 550,000 entries, this dataset is an excellent resource for exploring trends in car prices, analyzing market value fluctuations, and developing predictive models for the automotive industry.

Features

1. Year: Manufacturing year of the vehicle (Range: 1982-2015).
2. Make: Brand of the car (Top makes: Ford - 17%, Chevrolet - 11%).
3. Model: Specific car models, including Altima (3%), F-150 (3%), and others.
4. Trim: Vehicle trim level or variant (Base - 10%, SE - 8%).
5. Body: Body type, such as Sedan (36%), SUV (21%), etc.
6. Transmission: Type of transmission (85% Automatic, 12% unknown).
7. VIN: Vehicle Identification Number, unique to each car.
8. State: Location where the vehicle is registered (e.g., CA - 13%, FL - 15%).
9. Condition: Condition score of the car (1–5 scale).
10. Odometer: Mileage covered by the car (Range: 1 to 1,000,000+ miles).

Use Cases

• Price Prediction: Build machine learning models to predict car prices based on features like make, model, year, and mileage.
• Market Analysis: Identify trends in car preferences and sales across different regions.
• Depreciation Study: Study how different brands and models lose value over time.

Statistics Overview

• Years Distribution: The dataset spans from 1982 to 2015, with most entries concentrated in the 2000s.
• Popular Brands: Ford and Chevrolet dominate the entries.
• Body Type Distribution: Sedans and SUVs make up over 50% of the dataset.
• Condition Scores: Vehicles with a condition score of 4-5 are most common.

Example Records

Year	Make	Model	Trim	Body	Transmission	State	Condition	Odometer
2015	Kia	Sorento	LX	SUV	Automatic	CA	5	16,639
2014	BMW	3 Series	328i	Sedan	Automatic	CA	4	13,310
2015	Nissan	Altima	2.5 S	Sedan	Automatic	CA	1	5,554
2014	Chevrolet	Camaro	LT	Convertible	Automatic	CA	3	4,809
2015	Ford	Fusion	SE	Sedan	Automatic	CA	2	5,559

License

This dataset is available under the MIT License, making it suitable for both commercial and non-commercial use.

Tags

• Car Pricing
• Automotive Market
• Machine Learning
• Price Prediction
• Data Analysis

Download Now and explore the intricacies of car prices with this rich and diverse dataset!

Graph and download economic data for Consumer Price Index for All Urban Consumers: Used Cars and Trucks in Size Class B/C (CUURX000SETA02) from Dec 1997 to Sep 2025 about used, trucks, vehicles, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Snapshot img

US Used Car Market Size 2025-2029

The US used car market size is forecast to increase by USD 40.2 billion, at a CAGR of 4.3% between 2024 and 2029.

The used car market in the US is witnessing significant growth, driven by the excellent value proposition that used cars offer to consumers. The increasing popularity of websites dedicated to selling used cars has expanded market reach and convenience, allowing consumers to browse and purchase vehicles online. Stringent emission regulations are restricting the sales of non-compliant used cars, necessitating investments in upgrading and maintaining commercial vehicle fleets to meet regulatory requirements. These regulations necessitate investments in emission testing and certification processes, increasing operational costs for dealers. To capitalize on opportunities, dealers can focus on offering certified pre-owned vehicles and implementing robust emission testing procedures.
Additionally, leveraging digital marketing strategies and offering flexible financing options can help attract and retain customers. Overall, the used car market presents both challenges and opportunities for players, requiring strategic planning and innovation to succeed.

What will be the size of the US Used Car Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The used car market in the US continues to evolve, with various sectors adapting to emerging trends and technologies. Vehicle data analysis plays a pivotal role in understanding vehicle depreciation curves and return on investment for dealers. Payment processing systems streamline sales transactions, while sales performance metrics and customer lifetime value inform strategic decision-making. Fraud detection systems ensure compliance with legal standards, and insurance cost factors influence acquisition channel efficiency. Inventory turnover rate, a key performance indicator, varies across dealerships. Compliance audits and dealer training programs maintain legal compliance and improve customer satisfaction. Market penetration rate and resale value prediction help dealers optimize pricing models.
Consumer protection laws and financing product offerings shape customer trust and loyalty. Operating costs analysis, customer service feedback, and sales conversion rates contribute to profit margin calculation. Risk assessment models, employee performance metrics, marketing spend efficiency, and pricing model validation are essential for long-term success. A recent study reveals a 5% increase in sales for dealerships implementing advanced data analytics. Industry growth is expected to reach 3% annually, driven by these evolving market dynamics.

How is this market segmented?

The US used car market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  3P channel sales
  OEM channel sales


Product

  Mid size
  Full size
  Compact size


Vendor Type

  Organized
  Unorganized


Fuel Type

  Diesel
  Petrol


Geography

  North America

    US

By Distribution Channel Insights

The 3P channel sales segment is estimated to witness significant growth during the forecast period.

The used car market in the US is an active and dynamic sector, driven by various factors. With the constant launch of new vehicle models, the supply of used cars increases, resulting in lower prices compared to new cars. This trend encourages car owners to sell their vehicles and upgrade to newer models, shortening the average ownership cycle. Online advertising platforms play a significant role in connecting buyers and sellers. Pre-purchase inspections and vehicle history reports ensure transparency and build trust. Repairs cost estimation and parts sourcing networks help in managing the expenses of used car ownership. Market segmentation strategies cater to different customer needs, while customer relationship management tools foster loyalty.

Emissions testing standards ensure the environmental sustainability of used vehicles. Auto appraisal value tools help in determining fair prices, and loan term comparison aids in financing decisions. Marketing campaign effectiveness is measured through customer acquisition cost and interest rate calculation. Mobile apps offer functionalities like mechanical inspection checklists, paint depth measurement, and damage assessment tools. Dealer inventory management, detailing services, and vehicle photography techniques enhance the sales process. Industry growth is expected to continue, with the used car market projected to expand by 3% annually. For instance, a dealership successfully increased its sales by 15% thr

Stock Price Time Series for CarGurus. CarGurus, Inc. operates an online automotive platform for buying and selling vehicles in the United States and internationally. It operates through two segments, U.S. Marketplace and Digital Wholesale. The company provides an online automotive marketplace that allows customers to search for new and used car listings from its dealers; and connects dealers to a large audience of informed and engaged consumers while providing dealers with actionable data-based insights. It also offers Digital Deal which allows shoppers to start purchase from a VDP on eligible listings that provides them with purchase options; Finance in Advance, where eligible consumers can pre-qualify for financing on cars from dealerships that offer financing from partners; Sell My Car " Top Dealer Offers which allows dealers to make tailored trade-in offers; and Sell My Car " Instant Max Cash Offer which allows consumers to sell vehicles to dealers online. In addition, the company provides dealer listings and data insights products; auto manufacturers and others advertiser products, such as brand reinforcement, category sponsorship, automobile segment exclusivity, and consumer segment exposure; Autolist, an online automotive marketplace through mobile applications and a website; and PistonHeads which is an automotive marketplace, auction platform, and editorial site for automotive enthusiasts. The company was formerly known as CarGurus LLC and changed its name to CarGurus, Inc. in June 2015. CarGurus, Inc. was founded in 2005 and is headquartered in Boston, Massachusetts.

United States - Producer Price Index by Industry: New Car Dealers: New Vehicle Sales was 102.34500 Index Dec 1999=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: New Car Dealers: New Vehicle Sales reached a record high of 268.23800 in June of 2022 and a record low of 54.70000 in January of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: New Car Dealers: New Vehicle Sales - last updated from the United States Federal Reserve on November of 2025.

• Noticeably changes in the car market in the last few years are an exciting point to analyze the used car market in Egypt looking to answer different questions about it. Approximately 40 million used vehicles are sold each year.
• Effective pricing strategies can help people to efficiently sell their products in a competitive market and make a profit.
• We want to estimate the price of used cars by taking into account a set of features, based on historical data.
• Get a better understanding of the most relevant features that help determine the price of a used vehicle.

This data is collected from hatla2ee and have 17,160 rows This data collected in May 2023

[🚗 AutoScout24 Car Listings Dataset][car]

[🚗︎ AutoScout24 (2025 Snapshot) Car Listings Dataset][data]: Derived from publicly available [AutoScout24][car].

⚙️ Overview

Structured dataset of vehicles listed on [AutoScout24][car], one of Europe’s largest online car marketplaces.
Data was collected from public listings and processed using Pydantic and Pandas for validation and consistency.

Contains ~120K listings across multiple European markets, with attributes describing pricing, specifications, energy efficiency, and equipment.
Useful for modeling vehicle prices, market segmentation, and feature importance analysis.

🚗︎ Dataset Features

Column	Description
id	Unique listing identifier assigned by AutoScout24.
description	Textual description of the vehicle listing.
Ratings
ratings_average	Average rating of the seller or vehicle.
ratings_count	Number of total ratings.
ratings_recommend_percentage	Percentage of users recommending the seller or vehicle.
Pricing
price_currency	Currency of the listed price (default: EUR).
price	Listed vehicle price (numeric).
price_tax_deductible	Indicates if VAT is deductible.
price_negotiable	Indicates if the price is negotiable.
price_net	Net price before VAT (if available).
price_vat_rate	VAT rate applied to the listing (in %).
Vehicle
vin	Vehicle Identification Number (if available).
make	Vehicle manufacturer (e.g., BMW, Audi, Volkswagen).
model	Vehicle model name.
model_version	Model or trim version (e.g., “320d Touring”).
german_hsn_tsn	German type approval code (HSN/TSN).
mileage_km_raw	Raw mileage value extracted from listing.
mileage_km	Vehicle mileage in kilometers.
registration_date	First registration date.
production_year	Year of manufacture.
vehicle_type	General type of the vehicle (e.g., car, van, truck).
body_type	Body style (e.g., sedan, SUV, hatchback).
nr_seats	Number of seats.
nr_doors	Number of doors.
body_color	Exterior color of the vehicle.
paint_type	Paint type (e.g., metallic, solid).
body_color_original	Original factory color name.
upholstery	Type of upholstery (e.g., leather, fabric).
upholstery_color	Color of the upholstery.
power_kw	Engine power in kilowatts.
power_hp	Engine power in horsepower.
transmission	Type of transmission (manual or automatic).
gears	Number of gears.
drive_train	Drive configuration (front-wheel, rear-wheel, all-wheel).
cylinders	Number of engine cylinders.
cylinders_volume_cc	Engine displacement in cubic centimeters.
weight_kg	Vehicle weight in kilograms.
Fuel / Energy
has_particle_filter	Boolean flag indicating presence of particle filter.
fuel_category	Category of fuel (e.g., Diesel, Petrol, Electric).
primary_fuel	Primary fuel used by the vehicle.
electric_range_km	Electric driving range (in kilometers).
electric_range_city_km	Electric range achievable in city driving (km).
fuel_cons_comb_l100_km	Combined fuel consumption (liters per 100 km).
fuel_cons_city_l100_km	City fuel consumption (liters per 100 km).
fuel_cons_highway_l100_km	Highway fuel consumption (liters per 100 km).
co2_emission_grper_km	CO₂ emissions in grams per kilometer.
fuel_cons_comb_l100_wltp_km	Combined fuel consumption (WLTP, liters per 100 km).
fuel_cons_electric_comb_l100_wltp_km	Combined electric consumption (WLTP, liters-equivalent per 100 km).
co2_emission_grper_wltp_km	CO₂ emissions (WLTP, grams per kilometer).
Equipment / Features
equipment_comfort	List of comfort-related features (e.g., heated seats, panoramic roof).
equipment_entertainment	List of entertainment or media features (e.g., Bluetooth, sound system).
equipment_extra	List of extra or miscellaneous features.
equipment_safety	List of safety-related features (e.g., ABS, lane assist).
Flags / Booleans
is_used	Boolean: True if the vehicle is used.
is_new	Boolean: True if the vehicle is new.
is_preregistered	Boolean: True if the vehicle was preregistered.
had_accident	Boolean: True if the car had an accident history.
has_full_service_history	Boolean: True if a complete service history exists.
non_smoking	Boolean: True if declared as a non-smoking vehicle.
nr_prev_owners	Number of previous vehicle owners.
is_rental	Boolean: True if the car was used as a rental.
Miscellaneous
envir_standard	Environmental standard (e.g., Euro 6).
original_market	Original sales market of the vehicle.
offer_type	Type of offer (e.g., sale, lease).
...

United States Average Transaction Price: Category: Luxury Car data was reported at 58,248.000 USD in Mar 2025. This records an increase from the previous number of 55,620.000 USD for Feb 2025. United States Average Transaction Price: Category: Luxury Car data is updated monthly, averaging 63,749.000 USD from Jan 2020 (Median) to Mar 2025, with 63 observations. The data reached an all-time high of 78,618.000 USD in Nov 2022 and a record low of 46,353.000 USD in Oct 2023. United States Average Transaction Price: Category: Luxury Car data remains active status in CEIC and is reported by Cox Automotive. The data is categorized under Global Database’s United States – Table US.RA011: New Vehicle Average Transaction Price.

This dataset is prepared for statistical factor pricing models and standardized across variables including country, region, currency, vendor, and manufacturer for seamless data filtering. It contains 20+ years of all items in the luxury classic car category sold at auction and in private markets. Tracked brands include: AMC, Aston Martin, Alfa Romeo, Bentley, BMW, Bugatti, Cadillac, Chevrolet, Chrysler, Daimler, Duesenberg, El Camino, Ferrari, Fiat, Ford, Hispano-Suiza, Isotta Fraschini, Jaguar, Lamborghini, Lancia, Maserati, Mercedes, McLaren, Mercury, Panther, Peugeot, Pontiac, Rolls Royce, Porsche, Shelby, Toyota, Volkswagen, Zundapp

United States - Producer Price Index by Industry: New Car Dealers: Used Vehicle Sales was 83.20200 Index Dec 1999=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: New Car Dealers: Used Vehicle Sales reached a record high of 164.29000 in November of 2021 and a record low of 67.30000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: New Car Dealers: Used Vehicle Sales - last updated from the United States Federal Reserve on October of 2025.

US Motor Vehicle Registrations

Historical US Vehicle Registrations

By Throwback Thursday [source]

About this dataset

Each entry in this dataset includes various attributes that contribute to its richness. Key variables include state-level data, which allows for analysis on a regional basis, as well as more granular details such as vehicle type (e.g., passenger cars, trucks) and weight class (e.g., light-duty vehicles). Moreover, additional information on annual changes in registrations is provided, enabling users to observe fluctuations within specific years or compare registration numbers across different time periods.

The value of this dataset lies not only in its extensive coverage but also in its potential for conducting research across different fields such as transportation studies, urban planning, environmental impact analysis, and automotive industry analysis. The inclusion of historical data enables researchers to explore long-term trends that may have influenced societal behavior or policy decisions related to transportation infrastructure.

How to use the dataset

• Understand the Data:

  • The dataset provides a comprehensive record of motor vehicle registrations in the United States from 1900 to 1995.

  • The columns in the dataset include:

    a. Vehicle Type: Represents different types of vehicles (e.g., cars, motorcycles, trucks).

    b. Registration Count: Indicates the number of registered vehicles for each vehicle type and year.

• Analyze Vehicle Type Distribution:

  • To understand the distribution of registered vehicles by type over time, group the data by Vehicle Type and analyze registration counts.

• Identify Trends and Patterns:

  • By analyzing trends in registration counts over time, you can gain insights into changes in vehicle ownership patterns or preferences throughout history.

• Compare Different Vehicle Types:

  • Compare registration counts between different vehicle types to determine which types are more popular during various periods.

• Visualize Data:

  • Use various visualization techniques like line charts, bar graphs, or stacked area plots to represent registration counts with respect to time or compare different vehicle types side by side.

• Explore Historical Events:

  • Analyze how historical events (e.g., economic recessions, oil crises) affected motor vehicle registrations at specific points in time.

• Study Specific Time Periods:

  a. Early 20th Century:

  i) Investigate registrations from 1900-1920: Understand early trends and adoption rates of motor vehicles after their introduction

  ii) Explore changes during World War I: Analyze how war impacts influenced registrations

  b) Post-World War II Boom:

  i) Focus on growth patterns during post-WWII years (1945-1960): Identify if there was an acceleration in car registrations after wartime restrictions were lifted

• Conduct Further Research:

  • Supplement this dataset with additional sources to gain comprehensive insights into motor vehicle registrations in the U.S.

• Share Visualizations and Insights:

  • Compile interesting visualizations or insights gained from this dataset to inform others about motor vehicle registration history in the United States

Research Ideas

• Analyzing the growth and trends of motor vehicle registrations over time: This dataset allows for a detailed analysis of how motor vehicle registrations have evolved and expanded in the United States from 1900 to 1995. It can be used to identify patterns, changes in adoption rates, and shifts in popularity between different types of vehicles.
• Studying the impact of historical events on motor vehicle registrations: With this dataset, it is possible to explore the impact that major historical events and periods had on motor vehicle registrations. For example, one could analyze how registrations were affected by World War II or economic recessions during this time period.
• Comparing registration rates between different states and regions: This dataset provides information at a national level as well as broken down by state or region. It can be used to compare registration rates between different states or regions within specific years or over an extended time frame. This can provide insights into socioeconomic factors, population changes, and varying transportation needs across different areas of the country

Acknowledgements

If you use this dataset in your research, please credit the or...

Total Vehicle Sales in the United States decreased to 15.30 Million in October from 16.40 Million in September 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.

Operating-Income Time Series for Cars.com Inc. Cars.com Inc., an audience-driven technology company, provides solutions for the automotive industry in the United States. The company offers cars commerce platforms, such as Marketplace, allowing OEMs and dealers to merchandise their inventory and allowing consumers to add and save vehicles to virtual garage and track the Cars.com market value of current vehicle, as well as provides reputation management technology and digital financing tools and access to in-market consumers who are ready to trade-in its vehicle for a new one. It also provides website creation and platform hosting; digital retailing solutions; and trade and appraisal product, including AccuTrade, uses real-time market data and diagnostic scans to determine the right trade-in offer for every VIN in minutes. In addition, the company offers Cars Commerce Media Network products comprising Cars Social, allows dealers to target and serve native advertisements displaying real-time inventory to in-market car shoppers on Facebook and Instagram; VIN Performance Media, a machine-learning for media campaign, including audience targeting, real-time inventory, and ad placement across search, social, and display; In-Market Video, provides OEMs and dealers to pinpoint serious, ready-to-buy shoppers geographically; and In-Market Display, enable dealers and OEMs to extend reach and access audience of in-market car shoppers. The company serves local dealers, OEMs, dealer groups, and auto-adjacent companies. Cars.com Inc. was founded in 1998 and is headquartered in Chicago, Illinois.

United States - Consumer Price Index for All Urban Consumers: New Cars in U.S. City Average was 173.34800 Index 1982-84=100 in January of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: New Cars in U.S. City Average reached a record high of 174.68400 in July of 2023 and a record low of 102.20000 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: New Cars in U.S. City Average - last updated from the United States Federal Reserve on December of 2025.

Car Registrations in Mexico increased to 51371 Units in October from 45952 Units in September of 2025. This dataset provides - Mexico Domestic Car Sales - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

****Dataset Description**** This dataset contains historical data related to BMW car sales, with the goal of building a classification model to predict whether a car sale will be successful based on key features.

It includes information such as car specifications (e.g., fuel type, engine size, price), customer-related attributes (e.g., age group, income level), and sale outcome (e.g., sold or not sold).

The dataset is suitable for training and evaluating supervised learning models for classification, and for conducting exploratory data analysis in the automotive sales domain.

This synthetic or anonymized dataset is designed for educational and research purposes.

✅ Key Use Cases Car sales outcome prediction

Customer behavior modeling

Marketing campaign optimization

Automotive business analytics

EDA and visualization practice

****Column Description****

Column Name	Description
Car_Model	Specific model of the BMW car
Year	Manufacturing year of the car
Engine_Size	Engine capacity in liters
Fuel_Type	Type of fuel used (e.g., Petrol, Diesel, Hybrid)
Transmission	Transmission type (e.g., Manual, Automatic)
Mileage	Total distance driven (in kilometers or miles)
Price	Listed price of the car (in currency units)
Customer_Age_Group	Age group of the customer (e.g., 18–25, 26–35, etc.)
Income_Level	Income bracket of the customer (e.g., Low, Medium, High)
Region	Geographic region or dealership location
Previous_Owners	Number of previous car owners
Car_Condition	Condition rating of the car (e.g., Excellent, Good, Fair)
Sale_Outcome	Target variable: 1 = Car Sold, 0 = Not Sold

U.S. Vehicle Sales - Historical chart and current data through 2025.