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.

Used Car Prices MoM in the United States decreased to -2 percent in October from -0.20 percent in September of 2025. This dataset includes a chart with historical data for the United States Used Car Prices MoM.

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.

View monthly updates and historical trends for US Consumer Price Index: Used Cars and Trucks. Source: Bureau of Labor Statistics. Track economic data with…

Graph and download economic data for Consumer Price Index for All Urban Consumers: Used Cars and Trucks in Size Class A (CUURA000SETA02) from Dec 1986 to Sep 2025 about used, trucks, vehicles, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

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.

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.

In the United States, the average selling price for a new light vehicle came to around ****** U.S. dollars in 2024. New light vehicles were about *** percent more expensive in 2024 than in 2023. What is the price of a new car in the U.S.?     New automobiles and light trucks were on around ****** U.S. dollars more expensive than used light vehicles: the average selling price for used vehicles amounted to about ****** U.S. dollars in 2024. This increasing price gap between new and used vehicles is partly linked to the industry's recovery from the semiconductor shortage, which led to higher new vehicle inventory and reduced pressure on the used vehicle market. The semiconductor shortage  The hike in prices across the board recorded in 2022 can be in part attributed to the global automotive chip shortage, which started in 2021 as demand rebounded from the COVID-19 pandemic. The average price rise could be observed across segments, with new full-size SUV/crossover vehicles averaging ****** U.S. dollars as of December 2022.

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!

The European used car market continues to experience elevated prices, with the Harmonized Consumer Price Index for used cars in the Euro area reaching 121.24 in February 2025. This represents a significant increase of 21.24 points compared to the base year. The upward trend in used car prices began in early 2021 and has yet to show substantial signs of returning to pre-pandemic levels. Despite this persistent elevation, there is a growing sentiment among industry professionals that prices may start to stabilize or even decrease in the near future. Dealer expectations and market dynamics A December 2024 survey revealed that over 40 percent of European used car dealers anticipated a decrease in used car prices for 2025. This expectation aligns with the recent flattening of the price index curve observed in late 2024 and early 2025. However, about a third of the surveyed dealers believed prices would remain stable, indicating a divided outlook on the market's future direction. Consumer behavior and regional variations The used car market continues to play a significant role in vehicle ownership, particularly among younger Europeans. Nearly 60 percent of household cars available to people under 30 years old in Europe were purchased as used vehicles. This trend varies across countries, with France and Norway showing higher rates of used car ownership among young people compared to Southern European countries like Spain and Italy. Additionally, regional differences in used car mileage and transaction volumes highlight the diverse nature of the European used car market. Spain, for instance, reported the highest year-over-year increase in used car transactions as of the fourth quarter of 2024, with a 12.3 percent rise.

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!

The automobile industry has seen a dramatic shift in pricing over the past decade. With the introduction of new technologies, increased competition, and changing consumer preferences, car prices have been on the rise. This dataset will explore the changes in car prices over time, looking at factors such as inflation, technological advances, and consumer demand.

Inflation is one of the main drivers of car price increases. As the cost of living rises, so do the costs associated with producing cars. This means that manufacturers must raise their prices in order to remain profitable. In addition to inflationary pressures, technological advances have also had an impact on car prices. Automakers are constantly introducing new features and technologies into their vehicles which can add to their cost. For example, cars with advanced safety features such as lane-departure warning systems or automatic emergency braking can be more expensive than those without these features.

Consumer demand is another factor that affects car prices. As more people become interested in buying cars, manufacturers must raise their prices in order to meet this increased demand. Additionally, certain types of cars may be more popular than others at any given time which can also affect pricing trends. For example, SUVs and crossovers have become increasingly popular over the past few years and as a result their prices have risen significantly compared to other types of vehicles.

Overall, car prices have been steadily increasing over time due to a combination of factors such as inflationary pressures, technological advances, and consumer demand. It is important for consumers to be aware of these changes so they can make informed decisions when purchasing a vehicle. By understanding how these factors affect pricing trends they can ensure they get the best value for their money when buying a car.

🚗 2025 Used Car Market Dataset 🚗 This dataset is carefully prepared for data scientists, analysts, and researchers who want to analyze the 2025 used car market. With approximately 2,500 rows and 13 different features, this dataset serves as a powerful resource for exploring pricing trends, brand-model preferences, and vehicle history.

📊 Dataset Contents:

price → Vehicle price brand → Brand model → Model year → Manufacturing year mileage → Mileage information title_status → Vehicle title status (Clean, Salvage, etc.) color → Color information vin, lot → Vehicle identification details 🎯 Use Cases: ✔️ Machine learning projects – Price prediction, regression models ✔️ Data analysis & visualization – Analyzing market trends ✔️ Used car market research

🔹 This dataset is clean, well-structured, and ready for use—start your analysis right away! We’d love to hear feedback from the Kaggle community. 🚀

👉 Let’s explore this data and uncover valuable insights together! 💡

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.

Used car prices have been increasing across all vehicle age groups in Spain between 2021 and 2022, with used cars between 10 and 15 years old recording the steepest price inflation. This age group's average price was up **** percent year-over-year, reaching around ***** euros in 2022. In contrast, cars between *** and three years old reported a slower inflation, costing approximately ****** euros in 2022—**** percent more than in 2021.

The average for 2021 based on 165 countries was 108.07 index points. The highest value was in Singapore: 355.77 index points and the lowest value was in Syria: 58.27 index points. The indicator is available from 2017 to 2021. Below is a chart for all countries where data are available.

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.

1) Data Introduction • The Extended Dataset for Used Car Prices Regression Dataset is a structured dataset designed to predict the collector’s value of used vehicles based on a variety of features related to car pricing. It includes key attributes such as model year, brand, model, vehicle type, fuel efficiency (MPG), and MSRP. The collection_car variable indicates whether a car is considered a collector’s item due to its rarity or historical significance.

2) Data Utilization (1) Characteristics of the Extended Dataset for Used Car Prices Regression Dataset: • The dataset contains key factors influencing vehicle value, such as miles_per_gallon, premium_version, and msrp (Manufacturer's Suggested Retail Price).

(2) Applications of the Extended Dataset for Used Car Prices Regression Dataset: • Collector car prediction model development: The dataset can be used to train machine learning classification models that predict whether a vehicle has collector value based on its characteristics. • Rare vehicle market analysis and targeted marketing: By identifying vehicles with high collector value, the dataset supports applications in used car marketing, insurance planning, and premium vehicle recommendation systems.

United States - Producer Price Index by Industry: New Car Dealers: Vehicle Sales was 79.03600 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: Vehicle Sales reached a record high of 201.85900 in June of 2022 and a record low of 61.20000 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: Vehicle Sales - last updated from the United States Federal Reserve on December of 2025.

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.