Dataset Description:

Dataset Name: AutoScout24 Car Sales Dataset

Description: This dataset contains various features of cars sold on the AutoScout24 platform. It comprises a total of 15,915 car records, including details such as the car's model, price, mileage, and many other attributes. The dataset was sourced in 2019 from the online car trading company AutoScout24 and includes multiple features for 9 different car models.

Dataset Features: 1. make_model: The make and model of the car. 2. body_type: The type of the car (e.g., Sedan). 3. price: The price of the car (in EUR). 4. vat: VAT status. 5. km: The car's mileage. 6. Type: The condition of the car (e.g., used). 7. Fuel: The type of fuel (e.g., Diesel, Petrol). 8. Gears: Number of gears. 9. Comfort_Convenience: Comfort and convenience features. 10. Entertainment_Media: Entertainment and media features. 11. Extras: Extra features. 12. Safety_Security: Safety and security features. 13. age: The age of the car. 14. Previous_Owners: Number of previous owners. 15. hp_kW: Engine power (in kW). 16. Inspection_new: New inspection status. 17. Paint_Type: Type of paint. 18. Upholstery_type: Type of upholstery. 19. Gearing_Type: Type of gearing (e.g., automatic). 20. Displacement_cc: Engine displacement (in cc). 21. Weight_kg: The weight of the car (in kg). 22. Drive_chain: Type of drive (e.g., front-wheel drive). 23. cons_comb: Combined fuel consumption (l/100 km).

Use Cases: This dataset provides valuable insights for data scientists, economists, and automotive industry professionals interested in analyzing the car market. You can access the dataset on Kaggle and conduct various analyses.

1. Car Sales Analysis:

   • Analyze sales trends over time to identify which car models and features are most popular.
   • Determine the average selling price for different car types, models, and conditions.
   • Investigate regional differences in car sales and preferences.

2. Price Prediction Models:

   • Build machine learning models to predict the selling price of a car based on its features.
   • Identify which features most significantly impact the car's price.
   • Use regression models to estimate the price of cars not yet sold.

3. Vehicle Performance Evaluations:

   • Assess the performance of different car models based on features like horsepower, fuel consumption, and age.
   • Compare the efficiency of different fuel types (e.g., Diesel vs. Petrol) and their impact on performance.
   • Evaluate the reliability and maintenance costs of various car models.

4. Market Trend Analysis:

   • Track changes in consumer preferences over time, such as a shift towards electric or hybrid vehicles.
   • Analyze the impact of economic factors on car sales, such as changes in fuel prices or economic downturns.
   • Predict future market trends and consumer behavior using historical data.

5. Customer Segmentation:

   • Segment customers based on their preferences and purchasing behavior.
   • Tailor marketing strategies to different customer segments to increase sales effectiveness.
   • Identify key demographics that prefer certain car models or features.

6. Inventory Management:

   • Optimize inventory levels based on sales data to reduce holding costs and improve turnover rates.
   • Predict demand for specific car models to ensure adequate stock levels.
   • Analyze the impact of promotions and discounts on inventory movement.

The U.S. auto industry sold nearly ************* cars in 2024. That year, total car and light truck sales were approximately ************ in the United States. U.S. vehicle sales peaked in 2016 at roughly ************ units. Pandemic impact The COVID-19 pandemic deeply impacted the U.S. automotive market, accelerating the global automotive semiconductor shortage and leading to a drop in demand during the first months of 2020. However, as demand rebounded, new vehicle supply could not keep up with the market. U.S. inventory-to-sales ratio dropped to its lowest point in February 2022, as Russia's war on Ukraine lead to gasoline price hikes. During that same period, inflation also impacted new and used car prices, pricing many U.S. consumers out of a market with increasingly lower car stocks. Focus on fuel economy The U.S. auto industry had one of its worst years in 1982 when customers were beginning to feel the effects of the 1973 oil crisis and the energy crisis of 1979. Since light trucks would often be considered less fuel-efficient, cars accounted for about ** percent of light vehicle sales back then. Thanks to improved fuel economy for light trucks and cheaper gas prices, this picture had completely changed in 2020. That year, prices for Brent oil dropped to just over ** U.S. dollars per barrel. The decline occurred in tandem with lower gasoline prices, which came to about **** U.S. dollars per gallon in 2020 - and cars only accounted for less than one-fourth of light vehicle sales that year. Four years on, prices are dropping again, after being the highest on record since 1990 in 2022.

Dear Kagglers. Dataset contains three csv files , 1st file for Commercial vehicles sales across countries from 2019 to 2023 2nd file for Commercial vehicles sales across countries from 2019 to 2023 3rd file for combined data of above two files. Feel free to ask questions , if you Need any specific type of data let me know i will upload.

Worldwide car sales grew to around ** million automobiles in 2024, up from around **** million units in 2023. Throughout 2020 and 2021, the sector experienced a downward trend on the back of a slowing global economy, while COVID-19 and the Russian war on Ukraine contributed to shortages in the automotive semiconductor industry and further supply chain disruptions in 2022. Despite these challenges, 2023 and 2024 sales surpassed pre-pandemic levels and are forecast to keep rising through 2025 and 2026. Covid-19 hits car demand It had been estimated pre-pandemic that international car sales were on track to reach ** million. While 2023 sales are still far away from that goal, this was the first year were car sales exceeded pre-pandemic values. The automotive market faced various challenges in 2023, including supply shortages, automotive layoffs, and strikes in North America. However, despite these hurdles, the North American market was among the fastest-growing regions in 2024, along with Eastern Europe and Asia, as auto sales in these regions increased year-on-year. Chinese market recovers After years of double-digit growth, China's economy began to lose steam in 2022, and recovery has been slow through 2023. China was the largest automobile market based on sales with around **** million units in 2023. However, monthly car sales in China were in free-fall in April 2022 partly due to shortages, fears over a looming recession, and the country grappling with the COVID-19 pandemic. By June of that same year, monthly sales in China were closer to those recorded in 2021.

Intro:

I love cars so i was curious about knowing how many cars of different models is getting sold in some country for no reason i chose Canada

My resource is an online resource which is goodcarbadcar website

Data Content

We have here only one spreadsheet contain 237 Rows and 16 Columns

Columns:

1. model: which is the car model name
2. Jan :January
3. Feb:February
4. Mar:March
5. Apr:April
6. May:May
7. Jun:June
8. Jul:July
9. Aug:August
10. Sep:September
11. Oct:October
12. Nov:November
13. Dec:December
14. Sumofsales : is the sum of sale of each car model
15. Category : Contain 5 categories of cars MLS :MIDSIZE LUXURY SUV SALES FIGURES SLS:SMALL LUXURY SUV SALES FIGURES LLS: LARGE LUXURY SUV SALES FIGURES LS:LARGE SUV SALES FIGURES MS:MIDSIZE SUV SALES FIGURES
16. Year : the year of sales

Thanks for all people who support me !

Context

This is a data set for used car sales in the US. In total ~160k sales records over a period of 20 months in 2019 and 2020. There won't be any more updates to this dataset as eBay stopped providing full ZIP codes.

Content

Each sample contains information about a used car sale, like selling price, location, details about the car (Make, model, year, mileage, etc).

The data was scraped from eBay. I tried to filter the data when updating, meaning that if the same seller sells the same car again I'll remove the previous sale as it was most likely not a successful sale (Do you know that eBay bids on cars are non binding?)

Acknowledgements

Header Image Credit: Laitr Keiows [CC BY 3.0 (https://creativecommons.org/licenses/by/3.0)]

Inspiration

I'm curious what the community can do with this data to identify trends or even predict a fair price for a used car.

This dataset contains information about India's Sales of Motor Vehicles for2007-2019.Data from Ministry of Road Transport and Highways.

Overview

This dataset consists of details on daily used Tesla cars sold in United States from Tesla. Data fields include vin, year, model, color, miles, trim, sold price, interior, wheels, features, country, location, metro, state, currency, sold date.

Fields

• vin
• year
• model
• color
• miles
• trim
• sold_price
• interior
• wheels
• features
• country
• location
• metro
• state
• currency
• sold_date

Sample data from May 2022

Download Sample Dataset

Specifications

• Dataset Format: CSV (comma-separated)
• Update Frequency: Monthly
• Geographic coverage: US

Data Source

From tesla.com

Subscription

• Email

Support

You can reach us at support@saturndatacloud.com for any questions on the dataset.

About Saturn Data

Saturn Data provides data mining solutions from public sources to deliver insights for enterprises and the market. If you are interested in acquiring other datasets or customized data mining service, email us at info@saturndatacloud.com.

Number of units and total sales of new motor vehicles by vehicle type and origin of manufacture, monthly.

In financial year 2025, Maruti Suzuki sold approximately 1.7 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 recovery 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 the 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 2025, 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.

Car Registrations in Canada increased to 168731 Units in September from 166524 Units in August of 2025. This dataset provides - Canada Total New Cars - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Being one of the largest automotive sectors, India had over 326 million registered vehicles as of the financial year 2020. It was the largest producer of two-wheelers across the globe in 2025. The market within the country was also dominated by this segment. In financial year 2025, close to 19.61 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 battery 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.

1. Problem statemont:

This dataset contains data more than 9.5k car sales in Ukraine.Most of then are used car so it open the possibility to analyze featurs related to car operation. This is subset of all car data in Ukraine. Using this we will analyze the various parameter of used car sales in Ukraine.

1.1 Introduction: This Exploratory Data Analysis is to practice python skills till now on a structured dataset including loading, inspecting,wrangling,Exploring and drawing conclusions from the data.The notebook has the obeservations with each step in order to explain throughtly how to approach the dataset. Based on the obseravation some quetions also are answered in the notebook for the reference though not all them are explored in the analysis.

1.2 Data Source and Dataset: a. How was it collected?

Name: Car Sales Sponsering Organization: Dont Know! Year :2019 Description: This is case study of more than 9.5k car sales in Ukraine. b. it is sample? If yes ,What is properly sampled?

Yes .It is sample .We dont have official information about the data collection method, but its appears not to be random sample, so we can assume that it is not representative.

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).

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Total-Long-Term-Debt 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.

from: https://archive.ics.uci.edu/ml/datasets/car+evaluation

1. Title: Car Evaluation Database

2. Sources: (a) Creator: Marko Bohanec (b) Donors: Marko Bohanec (marko.bohanec@ijs.si) Blaz Zupan (blaz.zupan@ijs.si) (c) Date: June, 1997

3. Past Usage:

   The hierarchical decision model, from which this dataset is derived, was first presented in

   M. Bohanec and V. Rajkovic: Knowledge acquisition and explanation for multi-attribute decision making. In 8th Intl Workshop on Expert Systems and their Applications, Avignon, France. pages 59-78, 1988.

   Within machine-learning, this dataset was used for the evaluation of HINT (Hierarchy INduction Tool), which was proved to be able to completely reconstruct the original hierarchical model. This, together with a comparison with C4.5, is presented in

   B. Zupan, M. Bohanec, I. Bratko, J. Demsar: Machine learning by function decomposition. ICML-97, Nashville, TN. 1997 (to appear)

4. Relevant Information Paragraph:

   Car Evaluation Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX (M. Bohanec, V. Rajkovic: Expert system for decision making. Sistemica 1(1), pp. 145-157, 1990.). The model evaluates cars according to the following concept structure:

   CAR car acceptability . PRICE overall price . . buying buying price . . maint price of the maintenance . TECH technical characteristics . . COMFORT comfort . . . doors number of doors . . . persons capacity in terms of persons to carry . . . lug_boot the size of luggage boot . . safety estimated safety of the car

   Input attributes are printed in lowercase. Besides the target concept (CAR), the model includes three intermediate concepts: PRICE, TECH, COMFORT. Every concept is in the original model related to its lower level descendants by a set of examples (for these examples sets see http://www-ai.ijs.si/BlazZupan/car.html).

   The Car Evaluation Database contains examples with the structural information removed, i.e., directly relates CAR to the six input attributes: buying, maint, doors, persons, lug_boot, safety.

   Because of known underlying concept structure, this database may be particularly useful for testing constructive induction and structure discovery methods.

5. Number of Instances: 1728 (instances completely cover the attribute space)

6. Number of Attributes: 6

7. Attribute Values:

   buying v-high, high, med, low maint v-high, high, med, low doors 2, 3, 4, 5-more persons 2, 4, more lug_boot small, med, big safety low, med, high

8. Missing Attribute Values: none

9. Class Distribution (number of instances per class)

   class N N[%]

   unacc 1210 (70.023 %) acc 384 (22.222 %) good 69 ( 3.993 %) v-good 65 ( 3.762 %)

Globally, Toyota sold around **** million vehicles between January and December 2024. The company's sales tally decreased by around *** percent between the 2023 and 2024 calendar years. Fierce competition The company designs, manufactures, and sells motor vehicles under various brands, including the luxury marque Lexus. Toyota was the second most valuable automotive brand as of June 2024, outperforming other brands such as Mercedes-Benz, BMW, and Porsche. Toyota is one of the largest automakers in the world, based on calendar year sales figures. The car manufacturer's closest rival is Germany’s Volkswagen Group. Go East While Japan accounts for Toyota's largest revenue share, other Asian countries have emerged as the automaker's third largest markets in terms of revenue. Many automotive manufacturers were turning to the Chinese market to offset moderate sales figures in more saturated markets. Renault-Nissan-Mitsubishi, Volkswagen, and Toyota all have entered partnerships with automobile manufacturing joint ventures in China, although Toyota’s vehicle sales in the world’s largest automobile market fade in comparison to Volkswagen's deliveries. Between January and December 2021, Volkswagen and its Shanghai joint venture were the fourth leading passenger vehicle manufacturer in China, while Toyota continued to struggle. Toyota’s China woes aside, key figures for the Japanese company are shining bright, particularly in terms of sustainability.

This datasets contains Information about imported Vehicles. by model for 2014-2019.Data is from General Authority of Statistics.

Car sales Data From 2009 to 2019 In Ireland based on Engine type. Includes New Registration and imported cars