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Used Car Price Prediction Dataset is a comprehensive collection of automotive information extracted from the popular automotive marketplace website, https://www.cars.com. This dataset comprises 4,009 data points, each representing a unique vehicle listing, and includes nine distinct features providing valuable insights into the world of automobiles.
This dataset is a valuable resource for automotive enthusiasts, buyers, and researchers interested in analyzing trends, making informed purchasing decisions or conducting studies related to the automotive industry and consumer preferences. Whether you are a data analyst, car buyer, or researcher, this dataset offers a wealth of information to explore and analyze.
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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.
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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.
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Dive into the world of used cars with our dataset, perfect for predicting prices. It's a carefully selected set of data that car enthusiasts, analysts, and data scientists will find valuable. Whether you're curious or looking to analyze, this dataset is your guide to understanding the dynamics of how used cars are valued.
Key Features:
Potential Applications: - 📈 Market Research: Conduct in-depth market research to identify trends, fluctuations, and hotspots in the used car industry. - 🤖 Predictive Modeling: Build robust machine learning models to predict resale values, assisting buyers, sellers, and dealerships in making informed decisions. - 🚀 Business Strategy: Inform business strategies for used car dealerships, insurance companies, and financial institutions by understanding the underlying factors influencing pricing.
How to Use: 1. 🧑💻 Data Science Projects: Integrate this dataset into your data science projects to explore and analyze factors impacting used car prices. 2. 🚀 Predictive Modeling: Train machine learning models to predict resale values based on historical data and a wide array of vehicle attributes. 3. 🚗 Market Insights: Gain valuable insights into market dynamics, allowing you to stay ahead of trends and developments in the used car space.
1552 Rows, 15 Columns
Attributes:
1. Data Preprocessing 2. Data Visualization 3. Explarotary Data Analysis 4. Feature Selection and Transformation 5. Train-Test-Split 6. Model Creation (eg: Multiple Linear Regression) 7. Model Prediction
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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.
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Used Cars and Trucks in U.S. City Average (CUSR0000SETA02) from Jan 1953 to Sep 2025 about used, trucks, vehicles, urban, consumer, CPI, inflation, price index, indexes, price, and USA.
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TwitterIn 2024, the average selling price of used vehicles came to around ****** U.S. dollars. In 2024, new automobiles and light trucks were on average almost ****** U.S. dollars more expensive than used light vehicles. The used car boom As the price for new vehicles has been increasing, more Americans are turning towards buying second-hand cars and light trucks. Buying new cars and light trucks is typically seen as a privilege that few may do often. Generally, used vehicle sales are on the rise in most countries. Thanks to ever-improving technology, automobiles may keep running for many years and remain in good condition. This allows the average age of light vehicles in operation in the United States to increase slowly. Although new cars are often seen as status symbols, vintage cars are also very popular in the United States, the main reason for this trend being aesthetic and cultural values.
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This dataset was created by Mohamed Rizwan
Released under CC0: Public Domain
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Twitter🚗 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! 💡
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View monthly updates and historical trends for US Consumer Price Index: Used Cars and Trucks. Source: Bureau of Labor Statistics. Track economic data with…
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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.
| 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 |
This dataset is available under the MIT License, making it suitable for both commercial and non-commercial use.
Download Now and explore the intricacies of car prices with this rich and diverse dataset!
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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.
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TwitterIn 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.
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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.
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Graph and download economic data for Consumer Price Index for All Urban Consumers: New Vehicles in U.S. City Average (CUSR0000SETA01) from Jan 1953 to Sep 2025 about vehicles, urban, new, consumer, CPI, inflation, price index, indexes, price, and USA.
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United States Manheim Used Vehicle Value Index: Price Change: MoM data was reported at 3.275 % in Apr 2025. This records an increase from the previous number of 2.655 % for Mar 2025. United States Manheim Used Vehicle Value Index: Price Change: MoM data is updated monthly, averaging 0.053 % from Feb 1997 (Median) to Apr 2025, with 339 observations. The data reached an all-time high of 9.462 % in May 2020 and a record low of -10.129 % in Apr 2020. United States Manheim Used Vehicle Value Index: Price Change: MoM data remains active status in CEIC and is reported by Manheim, Inc.. The data is categorized under Global Database’s United States – Table US.I116: Manheim Used Vehicle Value Index.
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TwitterSwitzerland had the highest price tags on new passenger cars sold in 2020, overtaking Norway for the first time in five years. Swiss people had to dig deeper into their pockets than any of their European neighbors, with prices roughly 15,000 euros higher than the EU-28 average. Reasons for automobiles being so costly in Switzerland are partly due to tax rates, which are set by each canton based on a set of varying criteria including but not limited to vehicle weight, powertrain, and CO2 emissions. These incentives contribute to making larger, heavier vehicles using petrol and diesel engines more expensive. The only vehicles exempt from taxes in selected cantons were electric cars. Electric vehicles are extremely popular in Norway, second in the ranking in terms of average vehicle price, in parts due to the VAT and tolls exemptions for electric vehicles in the country. Norwegian buyers are able to spend more on high-tech models.
Car tax rates in Nordic countries higher on average
Other European countries with a 25 percent tax rate on acquisition are Croatia, Denmark and Sweden, while those in Hungary even exceeded Norwegian rates by two percent. As seen in this statistic higher tax rates on passenger cars translates to higher prices overall. Sweden and Denmark both appeared in the top seven most expensive car buying countries. Hence, in terms of volume of new car registrations, Northern European countries trailed behind not only their more populous neighbors, but also other smaller countries where tax rates were lower.
Prices for passenger cars to stay stable
Prices for passenger cars were forecast to stay relatively stable in the next three years, with only slight increases expected. Luxury cars were the only group where price change was estimated to be more prominent.
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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.
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China Automobile Price Index: CAI: Domestic Made: Passenger Car (PC) data was reported at 57.200 Jan2004=100 in Jun 2018. This records a decrease from the previous number of 57.600 Jan2004=100 for May 2018. China Automobile Price Index: CAI: Domestic Made: Passenger Car (PC) data is updated monthly, averaging 71.050 Jan2004=100 from Jan 2004 (Median) to Jun 2018, with 174 observations. The data reached an all-time high of 100.000 Jan2004=100 in Jan 2004 and a record low of 57.200 Jan2004=100 in Jun 2018. China Automobile Price Index: CAI: Domestic Made: Passenger Car (PC) data remains active status in CEIC and is reported by China Auto Index. The data is categorized under China Premium Database’s Price – Table CN.PB: China Auto Index: Automobile Price Index (Discontinued).
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United States - Consumer Price Index for All Urban Consumers: Used Cars and Trucks in U.S. City Average was 184.56800 Index 1982-84=100 in September of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Used Cars and Trucks in U.S. City Average reached a record high of 216.87600 in February of 2022 and a record low of 20.00000 in March of 1956. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Used Cars and Trucks in U.S. City Average - last updated from the United States Federal Reserve on December of 2025.
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Used Car Price Prediction Dataset is a comprehensive collection of automotive information extracted from the popular automotive marketplace website, https://www.cars.com. This dataset comprises 4,009 data points, each representing a unique vehicle listing, and includes nine distinct features providing valuable insights into the world of automobiles.
This dataset is a valuable resource for automotive enthusiasts, buyers, and researchers interested in analyzing trends, making informed purchasing decisions or conducting studies related to the automotive industry and consumer preferences. Whether you are a data analyst, car buyer, or researcher, this dataset offers a wealth of information to explore and analyze.