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

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 U.S. City Average (CUUR0000SETA02) from Dec 1952 to Sep 2025 about used, trucks, vehicles, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

1. Understanding the Features

Brand and Model: Analyze how different brands and models influence car prices. Are luxury brands significantly more expensive than economy brands? Year of Manufacture: Discuss the depreciation of car prices over time. How does the year affect pricing, and are there notable trends for specific brands? Engine Size: Explore the relationship between engine size and price. Does a larger engine correlate with a higher price, and how does this vary across different fuel types? Fuel Type: Evaluate how fuel types (Petrol, Diesel, Electric, Hybrid) impact pricing. Are electric vehicles priced higher due to their technology, or do they vary based on other factors? Transmission: Discuss if manual or automatic transmissions affect car pricing, especially in different markets or demographics.

2. Price Predictions and Modeling

Machine Learning Models: Explore which models (e.g., linear regression, decision trees, or ensemble methods) are best suited for predicting car prices using this dataset. Feature Importance: Discuss the importance of different features in predicting price. Which features contribute most to the price prediction accuracy, and how can feature selection improve the model?

3. Market Trends and Insights

Price Distribution: Analyze the distribution of car prices. Are there a lot of high-priced luxury cars, or is the dataset skewed towards more affordable options? Mileage vs. Price: Investigate the correlation between mileage and price. How does higher mileage affect pricing, and is there a threshold where price reduction becomes significant? Condition Impact: Discuss how the condition of the car (New, Used, Like New) influences the price. Are there significant price drops for used cars compared to new ones?

4. Regional Analysis

Location Impact: If geographic location is included, discuss how prices vary by region. Are there markets where certain brands/models are more popular and thus command higher prices? Economic Factors: Consider how broader economic factors (like inflation, fuel prices, and consumer preferences) might influence car prices in different regions.

5. Future Developments and Trends

Electric Vehicle Market: With the rise of electric vehicles, discuss how this dataset reflects the growing demand and pricing trends for EVs compared to traditional fuel cars. Impact of Technology: Consider how advancements in technology, safety features, and autonomous driving capabilities might influence future pricing.

6. Limitations of the Dataset

Data Completeness: Discuss any potential limitations in the dataset, such as missing values or biases in the data collection process. Generalization: Reflect on the ability to generalize the findings from this dataset to broader car markets or regions. Are there potential confounding factors that should be considered?

7. Potential Applications

Pricing Strategies: How can dealerships or private sellers utilize insights from this dataset to set competitive pricing? Consumer Decision-Making: Discuss how consumers can leverage this dataset to make informed purchasing decisions based on price predictions and feature evaluations.

These discussion points can help guide deeper analysis and insights into the Car Price Prediction dataset, making it a valuable resource for both academic and practical applications. If you have specific areas you want to focus on, let me know!

Description:

This dataset contains the latest information on car prices in Australia for the year 2023. It covers various brands, models, types, and features of cars sold in the Australian market. It provides useful insights into the trends and factors influencing the car prices in Australia. The dataset includes information such as brand, year, model, car/suv, title, used/new, transmission, engine, drive type, fuel type, fuel consumption, kilometres, colour (exterior/interior), location, cylinders in engine, body type, doors, seats, and price. The dataset has over 16,000 records of car listings from various online platforms in Australia.

Key Features:

• Brand: Name of the car manufacturer
• Year: Year of manufacture or release
• Model: Name or code of the car model
• Car/Suv: Type of the car (car or suv)
• Title: Title or description of the car
• UsedOrNew: Condition of the car (used or new)
• Transmission: Type of transmission (manual or automatic)
• Engine: Engine capacity or power (in litres or kilowatts)
• DriveType: Type of drive (front-wheel, rear-wheel, or all-wheel)
• FuelType: Type of fuel (petrol, diesel, hybrid, or electric)
• FuelConsumption: Fuel consumption rate (in litres per 100 km)
• Kilometres: Distance travelled by the car (in kilometres)
• ColourExtInt: Colour of the car (exterior and interior)
• Location: Location of the car (city and state)
• CylindersinEngine: Number of cylinders in the engine
• BodyType: Shape or style of the car body (sedan, hatchback, coupe, etc.)
• Doors: Number of doors in the car
• Seats: Number of seats in the car
• Price: Price of the car (in Australian dollars)

Potential Use Cases:

• Price prediction: Predict the price of a car based on its features and location using machine learning models.
• Market analysis: Explore the market trends and demand for different types of cars in Australia using descriptive statistics and visualization techniques.
• Feature analysis: Identify the most important features that affect the car prices and how they vary across different brands, models, and locations using correlation and regression analysis.

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1) Data Introduction • The Used Car Prices in india dataset contains information on the prices and related characteristics of used cars sold in India. • Key features include the car’s brand, model, manufacturing year, mileage, fuel type, transmission type, number of owners, engine displacement, horsepower, number of seats, and new car price.

2) Data Utilization (1) Characteristics of the Used Car Prices in india Dataset • This dataset includes various attributes related to the prices of used cars traded in India, making it useful for analyzing trends in the used car market. • It provides valuable data for analyzing and predicting the factors that affect used car prices.

(2) Applications of the Used Car Prices in india Dataset • Market Analysis: This dataset is useful for analyzing trends in the used car market, understanding price fluctuations, and identifying patterns in market demand. • Predictive Modeling: Based on the various attributes, predictive models can be developed to estimate the prices of used cars. • Business Insights: This data can be leveraged to analyze consumer preferences, market demand, and pricing strategies, helping businesses formulate their market strategies.

🚗 Used Car Price Prediction Dataset

📌 Subtitle

Comprehensive Used Car Dataset from India with 7,400 Listings and 29 Features for Price Prediction and Analysis

📝 Description

This dataset contains detailed information about used cars listed for sale in India.
It can be used for:

• Regression → Predicting car prices (sale_price)
• Classification → Predicting features like car_rating, car_availability, or warranty_avail
• EDA → Analyzing market trends, buyer preferences, and pricing strategies

The dataset is highly suitable for Machine Learning, Deep Learning, and Data Visualization projects.

📊 Columns Description

🔑 Key Points

• Rows: 7,400 used car listings
• Columns: 29 attributes (numerical, categorical, and boolean)
• Target Variable: sale_price
• Possible Tasks: Price Prediction, Trend Analysis, Buyer Behavior Modeling

💡 Inspiration

• Can we accurately predict the selling price of a used car?
• How do factors like fuel type, year of manufacture, and kilometers driven affect resale value?
• Do premium brands retain value better than budget cars?
• Can we identify market trends across cities in India?

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

Graph and download economic data for Consumer Price Index for All Urban Consumers: New and Used Motor Vehicles in U.S. City Average (CUSR0000SETA) from Jan 1993 to Sep 2025 about used, vehicles, urban, new, consumer, CPI, inflation, price index, indexes, price, and USA.

The average price in the 'Luxury Cars' segment of the passenger cars market in the United States was modeled to be ****** U.S. dollars in 2024. Between 2013 and 2024, the average price rose by ****** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The average price is forecast to decline by *** U.S. dollars from 2024 to 2029, fluctuating as it trends downward.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Luxury Cars.

The United States Used Car market was valued at USD 238.57 Billion in 2024 and is expected to reach USD 354.04 Billion by 2030 with a CAGR of 6.80%.

Poland Used Car Market size was valued at USD 10.8 Billion in 2024 and is projected to reach USD 20.0 Billion by 2032, growing at a CAGR of 8% during the forecast period 2026-2032.

Poland Used Car Market Drivers

Escalating New Car Prices: The rising cost of new vehicles, influenced by stricter EU environmental regulations and increased production expenses, has made new cars less accessible to many consumers. Consequently, buyers are turning to the used car market as a more affordable alternative. In 2024, the median price of a used car in Poland surpassed PLN 35,000, marking an 18% increase from the previous year, primarily due to the availability of newer, higher-quality used vehicles.

Digital Transformation of the Market: Online platforms such as Otomoto and OLX have revolutionized the used car buying experience in Poland. These digital marketplaces offer enhanced transparency, convenience, and a broader selection, attracting a tech-savvy demographic and streamlining the purchasing process.​

Shift Towards Eco-Friendly Vehicles:Environmental awareness and government incentives are encouraging consumers to consider eco-friendly options. The demand for used hybrid and electric vehicles has seen a notable increase, with sales rising by approximately 32% in 2022 compared to the previous year . This trend reflects a growing commitment to sustainable transportation solutions

Graph and download economic data for Consumer Price Index for All Urban Consumers: New Vehicles in U.S. City Average from Jan 1953 to Sep 2025 about vehicles, urban, new, consumer, CPI, inflation, price index, indexes, price, and USA.

This statistic records the difference in the average price of a used car in different cities across the United Kingdom (UK), expressed as a percentage of the average* used car price across the country. The chart shows that Plymouth is the most expensive of these British cities in which to buy a used car, costing about **** percent more than the national average.

In 2024, the U.S. passenger car market increased by 4.5% to $250.3B, rising for the third consecutive year after two years of decline. The market value increased at an average annual rate of +2.4% over the period from 2012 to 2024; however, the trend pattern indicated some noticeable fluctuations being recorded throughout the analyzed period. Over the period under review, the market attained the maximum level in 2024 and is likely to continue growth in the immediate term.

The average for 2021 based on 41 countries was 110.69 index points. The highest value was in Turkey: 167.48 index points and the lowest value was in Russia: 71.26 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

In 2021, the used car market in the United Kingdom was worth around ****** billion U.S. dollars. This market size is expected to reach close to ***** billion U.S. dollars by 2027, with a compound annual growth rate of **** percent between 2022 and 2027. Used vehicles were the main passenger car segment in the country in 2021, representing some **** million sales.

Overview

This dataset contains a rich collection of car sale listings scraped from Jiji.ng, one of Nigeria’s largest online marketplaces for buying and selling. It provides valuable insights into the Nigerian car market, including pricing trends, popular brands, engine specifications, and more.

With over 1200 listings, this dataset is ideal for data analysis, price prediction models, trend analysis, and vehicle valuation studies.

Possible Use Cases:

🔹 Car Price Prediction – Build ML models to estimate the price of a car based on its features.

🔹 Market Analysis – Study trends in Nigeria’s used car market.

🔹 Customer Preference Analysis – Find out which car models and brands are in high demand.

🔹 Business Insights – Helps car dealers make informed pricing and inventory decisions.

Inspiration & Ideas for Kaggle Users:

🚀 Train a linear regression model to predict car prices based on attributes.

📊 Use visualization tools to analyze car listings by brand, location, and price.

🛠️ Create an interactive dashboard to explore trends in the Nigerian car market.

Discover the booming French used car market! Our analysis reveals a €113.98M market in 2025, growing at 5.52% CAGR until 2033. Explore key trends, segments (SUVs, electric vehicles), top players (Leboncoin, Aramis Group), and regional insights. Invest wisely in this dynamic market! Recent developments include: January 2023: Heycar, an online used car marketplace with operations in France, announced its restructuring strategy for its global business by reducing 16% of its 450 staff. The company stated that the restructuring aims to reduce expenditure to widen its profit margins, which have declined in recent years., October 2023: AutoScout24 published its monthly report on the condition of the used vehicle market in France, indicating that vehicles aged between 2-5 years contributed to the majority share of 27.07% of the overall used cars registered in October 2023. The company stated that the registrations of diesel and gasoline-used cars showcased a decline of 3.7% and 4.4%, respectively, compared to October 2022., November 2022: Aramis Group, an online-used car trader based in France, announced the acquisition of Cazoo's business in Italy, which operates a brand named Brumbrum that sells approximately 1,600 used vehicles annually, with a turnover of EUR 30 million (USD 32 million) as of November 2022.. Key drivers for this market are: Increasing New Car Prices to Foster the Growth of the Market. Potential restraints include: Increasing New Car Prices to Foster the Growth of the Market. Notable trends are: The Online Segment of the Market to Gain Traction During the Forecast Period.