100+ datasets found
  1. Cars Dataset (2010-2020)

    • kaggle.com
    Updated Jul 23, 2024
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    Waqar Ali (2024). Cars Dataset (2010-2020) [Dataset]. https://www.kaggle.com/datasets/waqi786/cars-dataset-2010-2020
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 23, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Waqar Ali
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset captures detailed specifications of 10,000 cars manufactured between 2010 and 2020. It provides a comprehensive resource for various analytical and machine learning projects, including price prediction, market trend analysis, and comparative studies among different car makes and models.

    The dataset includes essential attributes such as the make and model of the car, the year of manufacture, engine size, fuel type, and the price in USD. These attributes allow for in-depth analysis and modeling, facilitating insights into market trends, price prediction, and comparative studies among different car makes and models.

    The car makes and models were selected from popular vehicles available in the market, reflecting consumer preferences and market availability. The prices, engine sizes, and fuel types were randomly assigned within realistic ranges, ensuring that the dataset remains representative and suitable for various analytical purposes.

    Whether you are an automotive enthusiast, a data scientist, or a machine learning practitioner, this dataset offers a rich foundation for your projects. It can be used to develop machine learning models to predict car prices, analyze trends in the automotive market, compare different car makes and models, study the distribution and evolution of fuel types, or for educational purposes in data science and machine learning courses.

    The data was meticulously generated using the Faker library to simulate realistic car specifications. This dataset is versatile and can be used for a wide array of projects, making it a valuable tool in your analytical and predictive endeavors.

  2. R

    Background Car Dataset

    • universe.roboflow.com
    zip
    Updated Mar 5, 2024
    + more versions
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    Car Segmentation (2024). Background Car Dataset [Dataset]. https://universe.roboflow.com/car-segmentation-iq9jj/background-car
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    zipAvailable download formats
    Dataset updated
    Mar 5, 2024
    Dataset authored and provided by
    Car Segmentation
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Cars Background Bounding Boxes
    Description

    Background Car

    ## Overview
    
    Background Car is a dataset for object detection tasks - it contains Cars Background annotations for 920 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  3. R

    Car Dataset

    • universe.roboflow.com
    zip
    Updated Mar 18, 2025
    + more versions
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    chaeoh (2025). Car Dataset [Dataset]. https://universe.roboflow.com/chaeoh/car-xxis8/model/1
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    zipAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    chaeoh
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Variables measured
    Objects Bounding Boxes
    Description

    Car

    ## Overview
    
    Car is a dataset for object detection tasks - it contains Objects annotations for 1,001 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).
    
  4. h

    stanford_cars

    • huggingface.co
    Updated May 19, 2024
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    Anke Tang (2024). stanford_cars [Dataset]. https://huggingface.co/datasets/tanganke/stanford_cars
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 19, 2024
    Authors
    Anke Tang
    Description

    Stanford Cars Dataset

      Dataset Overview
    

    Splits: Training: 8144 images used for model training. Test: 8041 images used for evaluation. Contrast: 8041 images with high contrast for robustness testing. Gaussian Noise: 8041 images corrupted by Gaussian noise for robustness testing. Impulse Noise: 8041 images corrupted by impulse noise for robustness testing. JPEG Compression: 8041 compressed images for robustness testing. Motion Blur: 8041 images with motion blur for… See the full description on the dataset page: https://huggingface.co/datasets/tanganke/stanford_cars.

  5. Udacity Self-Driving Car Dataset 2-2

    • academictorrents.com
    bittorrent
    Updated Oct 10, 2016
    + more versions
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    Udacity, Auro Robotics (2016). Udacity Self-Driving Car Dataset 2-2 [Dataset]. https://academictorrents.com/details/bcde779f81adbaae45ef69f9dd07f3e76eab3b27
    Explore at:
    bittorrent(7043569975)Available download formats
    Dataset updated
    Oct 10, 2016
    Dataset provided by
    Udacityhttp://udacity.com/
    Authors
    Udacity, Auro Robotics
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    We’re Building an Open Source Self-Driving Car, and we want your help! At Udacity, we believe in democratizing education. How can we provide opportunity to everyone on the planet? We also believe in teaching really amazing and useful subject matter. When we decided to build the Self-Driving Car Nanodegree program, to teach the world to build autonomous vehicles, we instantly knew we had to tackle our own self-driving car too. Together with Google Self-Driving Car founder and Udacity President Sebastian Thrun, we formed our core Self-Driving Car Team. One of the first decisions we made? Open source code, written by hundreds of students from across the globe!

  6. US Used Car Market Analysis, Size, and Forecast 2025-2029

    • technavio.com
    Updated Jan 26, 2025
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    Technavio (2025). US Used Car Market Analysis, Size, and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/used-car-market-in-us-industry-analysis
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    Dataset updated
    Jan 26, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States
    Description

    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 exhibits robust growth, driven by the excellent value proposition that pre-owned vehicles offer to consumers. This market trend is further bolstered by the increasing penetration of online platforms dedicated to selling used cars, providing greater convenience and accessibility for buyers. However, the market faces regulatory challenges as stricter emission regulations limit the sale of non-compliant used cars, necessitating investments in upgrading inventory and adhering to regulatory frameworks. These hurdles, while significant, can be navigated through strategic partnerships with emission testing centers and ongoing investment in fleet modernization. Companies that effectively address these challenges and leverage the opportunities presented by the growing demand for used cars and the digital shift in sales channels will thrive in this dynamic market.

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

    Request Free Sample

    In the dynamic used car market, consumers face various challenges such as car scams and fraudulent activities. To mitigate risks, car buyers turn to comprehensive car buying guides and car detailing services. A VIN number check is essential for vehicle identification and history assessment, while emissions testing ensures environmental compliance. Car sharing and subscription services offer flexible mobility solutions. Vehicle registration and title transfer processes can be streamlined through digital means, and car refurbishment and connected car technology enhance safety and convenience. Blind spot monitoring and adaptive cruise control are popular safety features, while collision avoidance systems and lane departure warning systems provide added protection. Used car logistics and online financing applications simplify the purchasing process, and extended warranties offer peace of mind. Wireless charging, smartphone integration, and vehicle diagnostics are essential features for modern cars. Sustainable mobility and car comparison tools cater to eco-conscious consumers, while car maintenance schedules and roadside assistance ensure long-term vehicle care. Remote vehicle inspection and car care tips help maintain a car's resale value, and car subscription services offer flexible ownership alternatives. Used car fraud prevention and vehicle identification technologies protect buyers from potential risks. Car safety ratings and vehicle identification numbers are crucial tools for informed decision-making.

    How is this market segmented?

    The 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 Channel3P channel salesOEM channel salesProductMid sizeFull sizeCompact sizeVendor TypeOrganizedUnorganizedFuel TypeDieselPetrolGeographyNorth AmericaUS

    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 a dynamic and significant sector, with numerous entities shaping its activity. Used car buyers continuously seek value, leading to a high demand for pre-owned vehicles. Search engine optimization and online advertising play crucial roles in connecting buyers with sellers, whether they're private parties or car dealerships. Wholesale car lots and auctions provide inventory for dealerships, ensuring a steady supply of used cars. Fleet vehicles, often traded in for newer models, contribute to the used car inventory. Maintenance records and vehicle history reports are essential for buyers, influencing their purchasing decisions. Safety features, infotainment systems, and driver assistance are increasingly desired in used cars, especially among budget-conscious consumers and luxury car buyers. Electric and hybrid vehicles are gaining popularity, driving the demand for used models in these categories. Car negotiation, fuel economy, and vehicle valuation are essential factors in used car selling. Digital marketing, including social media, mobile apps, and data analytics, helps sellers reach a wider audience. Certified pre-owned vehicles, reconditioned cars, and consignment sales offer buyers additional options and peace of mind. Car financing, vehicle inspections, and warranties are essential components of the used car buying process. Autonomous driving technology and car pricing trends continue to evolve, impacting the used car market. As the average ownership cycle shortens, the market will see an increase in the availability of used cars, making it an exciting and ever-changing landscape for both buyers and sellers.

    D

  7. 🚗Car Market Dataset 📊 100k+ Vehicles

    • kaggle.com
    Updated Jun 11, 2024
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    Zain Faisal (2024). 🚗Car Market Dataset 📊 100k+ Vehicles [Dataset]. https://www.kaggle.com/datasets/zain280/car-dataset/versions/2
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 11, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Zain Faisal
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    This dataset provides extensive information on a wide range of cars, capturing essential details to help analyze market trends, vehicle values, and more. Ideal for automotive enthusiasts, data analysts, and researchers looking to explore the car market.

    Columns

    • ID: Unique identifier for each vehicle.
    • Brand: Manufacturer of the vehicle (e.g., Ford, Lexus, etc.).
    • Model: Specific model of the vehicle.
    • Year: Manufacturing year of the vehicle.
    • Color: Color of the vehicle.
    • Mileage: Distance traveled by the vehicle (in miles).
    • Price: Price of the vehicle (in USD).
    • Condition: Condition of the vehicle (New/Used).

    Statistics

    • Total Vehicles: 100,000+
    • Brands: Ford (5%), Lexus (5%), Other (90%)
    • Models: Generic Model 1 (28%), Generic Model 2 (28%), Other (43%)
    • Years Range: 1990 - 2022
    • Popular Colors: Blue (17%), Green (17%), Other (66%)
    • Conditions: Used (50%), New (50%)

    Usage

    This dataset is perfect for: - Analyzing car market trends - Predicting vehicle prices - Studying vehicle depreciation - Market research for automotive industry

    Source

    Collected and compiled from various automotive data sources to provide a detailed overview of the car market.

  8. Annual car sales worldwide 2010-2024, with a forecast for 2025-2026

    • statista.com
    Updated Aug 18, 2025
    + more versions
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    Statista (2025). Annual car sales worldwide 2010-2024, with a forecast for 2025-2026 [Dataset]. https://www.statista.com/statistics/200002/international-car-sales-since-1990/
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    Dataset updated
    Aug 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  9. Car Sales dataset - Data Science, ML, AI

    • kaggle.com
    Updated Dec 14, 2023
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    Shrimanta Satpati (2023). Car Sales dataset - Data Science, ML, AI [Dataset]. https://www.kaggle.com/datasets/shrimantasatpati/car-sales-dataset-data-science-ml-ai
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shrimanta Satpati
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset Description:

    The dataset appears to contain information related to car sales, with various attributes providing details about different car models. Below is a description of the attributes in the dataset:

    Attribute Descriptions:

    1. Manufacturer: The name of the car manufacturer (e.g., Acura, Audi, BMW).
    2. Model: The specific model of the car (e.g., Integra, TL, A4).
    3. Sales_in_thousands: The number of car sales in thousands.
    4. _year_resale_value: The estimated resale value of the vehicle after a certain number of years.
    5. Vehicle_type: The type of vehicle (e.g., Passenger, Car).
    6. Price_in_thousands: The price of the car in thousands of dollars.
    7. Engine_size: The size of the car's engine.
    8. Horsepower: The horsepower of the car's engine.
    9. Wheelbase: The wheelbase of the car (distance between the front and rear axles).
    10. Width: The width of the car.
    11. Length: The length of the car.
    12. Curb_weight: The weight of the car without occupants or baggage.
    13. Fuel_capacity: The capacity of the fuel tank.
    14. Fuel_efficiency: The fuel efficiency of the car.
    15. Latest_Launch: The date of the latest product launch.
    16. Power_perf_factor: A performance factor associated with power.
  10. Car Dataset using EDA

    • kaggle.com
    Updated Apr 20, 2022
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    Reshma Duseja (2022). Car Dataset using EDA [Dataset]. https://www.kaggle.com/datasets/reshmaduseja/car-dataset-using-eda
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 20, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Reshma Duseja
    Description

    Dataset

    This dataset was created by Reshma Duseja

    Contents

  11. Connected Car Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 4, 2025
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    Growth Market Reports (2025). Connected Car Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/connected-car-market-global-industry-analysis
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Connected Car Market Outlook



    As per our latest research, the global connected car market size reached USD 86.2 billion in 2024, registering a robust growth trajectory with a CAGR of 17.4% from 2025 to 2033. This upward momentum is primarily driven by the rapid advancements in automotive connectivity technologies and the increasing demand for enhanced safety, infotainment, and telematics solutions worldwide. By 2033, the market is forecasted to attain a significant valuation of USD 295.9 billion, underscoring the transformative impact of digitalization and IoT integration within the automotive sector. The proliferation of high-speed internet connectivity, coupled with evolving consumer preferences for smart mobility solutions, continues to fuel the expansion of the connected car ecosystem.




    A key growth factor propelling the connected car market is the widespread adoption of advanced communication technologies, such as 5G and next-generation telematics systems. These technologies are enabling real-time data exchange between vehicles, infrastructure, and external networks, which significantly enhances vehicle-to-everything (V2X) communication. The integration of 5G networks is particularly pivotal, as it delivers ultra-low latency and high bandwidth, supporting features like autonomous driving, remote diagnostics, and over-the-air (OTA) software updates. As automakers and technology providers collaborate to develop standardized connectivity protocols, the overall reliability and security of connected vehicles are improving, thereby fostering consumer trust and accelerating market growth.




    Another critical driver is the increasing emphasis on vehicle safety and regulatory mandates for advanced driver assistance systems (ADAS). Governments worldwide are implementing stringent safety regulations, encouraging the adoption of connected car technologies that offer real-time monitoring, emergency assistance, and predictive maintenance. The integration of telematics and fleet management solutions is also transforming commercial vehicle operations by optimizing route planning, reducing operational costs, and improving driver behavior. Furthermore, the growing popularity of in-car infotainment and personalized user experiences is compelling automakers to invest in innovative connectivity solutions, further expanding the market's scope.




    The continuous evolution of consumer expectations towards digital lifestyles is reshaping the automotive landscape, with connected cars emerging as a central enabler of smart mobility. Modern consumers demand seamless connectivity, intuitive infotainment, and integration with their digital ecosystems, prompting OEMs to prioritize software-driven architectures and cloud-based services. The convergence of artificial intelligence, IoT, and big data analytics is empowering automakers to deliver predictive maintenance, real-time traffic updates, and personalized content, elevating the overall driving experience. As a result, the connected car market is witnessing a surge in strategic partnerships, mergers, and acquisitions aimed at accelerating product innovation and expanding service portfolios.




    Regionally, the Asia Pacific market is at the forefront of connected car adoption, supported by robust investments in smart infrastructure, high smartphone penetration, and a burgeoning automotive industry. North America and Europe also demonstrate strong growth potential, driven by technological innovation, regulatory support, and the presence of leading automotive OEMs and technology giants. The Middle East & Africa and Latin America markets, while still emerging, are gradually embracing connected car technologies as digital transformation accelerates across the automotive value chain. Overall, the global connected car market is poised for remarkable expansion, underpinned by technological advancements, changing consumer behaviors, and supportive policy frameworks.





    Technology Analysis



    The connected car market is segmented by technology into <b&

  12. U.S.: average used car prices by vehicle type 2023

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). U.S.: average used car prices by vehicle type 2023 [Dataset]. https://www.statista.com/statistics/1324839/us-average-used-vehicle-price-by-type/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2023
    Area covered
    United States
    Description

    Coupes and convertibles were the most expensive used car types in the United States as of February 2023, priced on average at around ****** and ****** U.S. dollars respectively. In contrast, used wagons and hatchbacks were more affordable, at an average of ****** and ****** U.S. dollars. The overall used vehicle average list price had been steadily rising between mid-year 2020 and mid-year 2022, but dipped in June 2023.

  13. m

    Latvian Used-car Market Announcements Monitoring in 2022

    • data.mendeley.com
    Updated Dec 19, 2022
    + more versions
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    Valerijs Skribans (2022). Latvian Used-car Market Announcements Monitoring in 2022 [Dataset]. http://doi.org/10.17632/mgdthphhy4.1
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    Dataset updated
    Dec 19, 2022
    Authors
    Valerijs Skribans
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Used-car market monitoring was started in 2018, 03 January, when Federal Administrative Court in Leipzig (Germany) allowed cities and communes in Germany to impose bans for diesel cars in order to reduce the level of nitric oxide in the air. This data-set represent 5th year of market monitoring, 2022. First year monitoring (2018) data-set is available together with data article: Skribans, V. Used-car market dataset for Latvia 2018, (2019) Data in Brief, 22, pp. 859-862. doi: 10.1016/j.dib.2018.12.075. Methodology of data mining is available in research paper: SKRIBANS, V. and HEGERTY, S.W., 2019. Data mining application for used-car market analysis, IMCIC 2019 - 10th International Multi-Conference on Complexity, Informatics and Cybernetics, Proceedings 2019, pp. 35-40. Second year monitoring (2019) data-set is available there: Skribans, Valerijs (2019), “Latvian Used-car Market Announcements Monitoring in 2019”, Mendeley Data, V1, doi: 10.17632/kyf948x63n.1 Third year year monitoring (2020) data-set is available there: Skribans, Valerijs; Gulbis, Aivars; Krastins, Aivars (2020), “Latvian Used-car Market Announcements Monitoring in 2020”, Mendeley Data, V1, doi: 10.17632/hg38nn6c45.1 . First quarter of the fourth year of market monitoring, 2021. set is available there: Skribans, Valerijs; Gulbis, Aivars; Cevers, Aldis; Rudzitis, Normunds; Krastins, Aivars (2021), “Latvian Used-car Market Announcements Monitoring in 2021 Q1”, Mendeley Data, V1, doi: 10.17632/rh9zh9ncnk.1

  14. CLAMS CV-580 Cloud Absorption Radiometer (CAR)

    • data.nasa.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +3more
    Updated Apr 1, 2025
    + more versions
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    nasa.gov (2025). CLAMS CV-580 Cloud Absorption Radiometer (CAR) [Dataset]. https://data.nasa.gov/dataset/clams-cv-580-cloud-absorption-radiometer-car-a2d08
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    CLAMS_CV580_CAR data were collected during the Chesapeake Lighthouse and Aircraft Measurements for Satellites (CLAMS) experiment.The Cloud Absorption Radiometer (CAR) instrument is an airborne multi-wavelength scanning radiometer, designed to operate from a mounted position aboard various aircraft, including the nose cone of the University of Washington's Convair CV-580. Developed by Dr. Michael King at NASA Goddard Space Flight Center, the CAR instrument measures radiance for 190 degrees, and total view at 1 degree field of view resolution. Instrument functions include: * acquiring imagery of Earth surface and Cloud features single scattering albedo determination of clouds angular distribution measuring of scattered radiation* bidirectional reflectance measuring of various surface types

  15. Car sales in the United States by key state 2018

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Car sales in the United States by key state 2018 [Dataset]. https://www.statista.com/statistics/634072/us-car-sales-by-key-state/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    United States
    Description

    In 2018, about ******* cars were sold in Florida, making it the second best performing state in terms of car sales. Car sales are losing popularity in the United States with more motorists preferring other segments such as small trucks, SUVs, and minivans. Overall, some *** million light vehicles were sold to customers in Florida in 2018. California dominates traditional and electric car sales California is not only the largest market for cars but also for plug-in electric vehicles. The state is known for progressive state legislation that promotes the manufacturing and sale of electric vehicles. It is also the home to the Tesla headquarters. The company is behind much of the growth of electric vehicles in the United States. Over *** percent of California’s new vehicle sales in 2018 were electric vehicles. The Californian electric vehicle fleet is expected to surpass ***** million vehicles by 2030. With so many electric vehicles on the road, heavy investments must be made into electric vehicle infrastructure. An extensive network of charging stations has been set up along highways between Mexico and Canada. The ‘West Coast Green Highway’ consists of hundreds of fast chargers in California, Oregon, and Washington. Pacific Coast states accounted for over***** of all U.S. electric vehicle sales in 2018.

  16. w

    Vehicle licensing statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Aug 13, 2025
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    Department for Transport (2025). Vehicle licensing statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/vehicle-licensing-statistics-data-tables
    Explore at:
    Dataset updated
    Aug 13, 2025
    Dataset provided by
    GOV.UK
    Authors
    Department for Transport
    Description

    Data files containing detailed information about vehicles in the UK are also available, including make and model data.

    Some tables have been withdrawn and replaced. The table index for this statistical series has been updated to provide a full map between the old and new numbering systems used in this page.

    Tables VEH0101 and VEH1104 have not yet been revised to include the recent changes to Large Goods Vehicles (LGV) and Heavy Goods Vehicles (HGV) definitions for data earlier than 2023 quarter 4. This will be amended as soon as possible.

    All vehicles

    Licensed vehicles

    Overview

    VEH0101: https://assets.publishing.service.gov.uk/media/689a1dddad0cbc0e27643253/veh0101.ods">Vehicles at the end of the quarter by licence status and body type: Great Britain and United Kingdom (ODS, 154 KB)

    Detailed breakdowns

    VEH0103: https://assets.publishing.service.gov.uk/media/6846e8dcd25e6f6afd4c01d5/veh0103.ods">Licensed vehicles at the end of the year by tax class: Great Britain and United Kingdom (ODS, 33 KB)

    VEH0105: https://assets.publishing.service.gov.uk/media/689a1dde9c63e0ee87656a9c/veh0105.ods">Licensed vehicles at the end of the quarter by body type, fuel type, keepership (private and company) and upper and lower tier local authority: Great Britain and United Kingdom (ODS, 16 MB)

    VEH0206: https://assets.publishing.service.gov.uk/media/6846e8dee5a089417c806179/veh0206.ods">Licensed cars at the end of the year by VED band and carbon dioxide (CO2) emissions: Great Britain and United Kingdom (ODS, 42.3 KB)

    VEH0601: https://assets.publishing.service.gov.uk/media/6846e8df5e92539572806176/veh0601.ods">Licensed buses and coaches at the end of the year by body type detail: Great Britain and United Kingdom (ODS, 24.6 KB)

    VEH1102: https://assets.publishing.service.gov.uk/media/6846e8e0e5a089417c80617b/veh1102.ods">Licensed vehicles at the end of the year by body type and keepership (private and company): Great Britain and United Kingdom (ODS, 146 KB)

    VEH1103: https://assets.publishing.service.gov.uk/media/689a1de1e7be62b4f0643252/veh1103.ods">Licensed vehicles at the end of the quarter by body type and fuel type: Great Britain and United Kingdom (ODS, 1010 KB)

    VEH1104: https://assets.publishing.service.gov.uk/media/689a1de1e7be62b4f0643253/veh1104.ods">Licensed vehicles at the end of the

  17. Used Car Market Size | Industry Trends & Forecast Analysis Report

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 18, 2025
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    Mordor Intelligence (2025). Used Car Market Size | Industry Trends & Forecast Analysis Report [Dataset]. https://www.mordorintelligence.com/industry-reports/global-used-car-market-growth-trends-and-forecast-2019-2024
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2020 - 2030
    Area covered
    Global
    Description

    The Used Car Market Report is Segmented by Vehicle Type (Hatchback, Sedan, and More), Vendor Type (Organized and Unorganized), Fuel Type (Gasoline, Diesel, and More), Sales Channel (Online Platforms and More), Vehicle Age (Below 3 Years and More), Mileage (Less Than 20, 000 Kms and More), Price Band (Less Than USD 10, 000 and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD) and Volume (Units).

  18. Car Acceptability Dataset for Machine Learning

    • kaggle.com
    Updated Sep 11, 2023
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    ismetgocer (2023). Car Acceptability Dataset for Machine Learning [Dataset]. https://www.kaggle.com/datasets/ismetgocer/car-acceptability
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 11, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    ismetgocer
    Description

    Are you ready for a good challenge? There are many missing values, extraordinary symbols and problems Let's start wonderful analyses!

    There are 1729 rows and 7 columns in this data set;

    Features;

    Column (buying): Buying price of the car (v-high, high, med, low). Examples: low, med, high Column (maint): Price of the maintenance of the car (v-high, high, med, low). Examples: low, med, high Column (doors): Number of doors (2, 3, 4, 5-more). Examples: 2, 3, 4 Column (persons): Capacity in terms of persons to carry (2, 4, more). Examples: 2, 4, more Column (lug_boot): The size of the luggage boot (small, med, big). Examples: small, med, big Column (safety): Estimated safety of the car (low, med, high). Examples: low, med, high

    Target:

    Column (class): Car acceptability (unacc: unacceptable, acc: acceptable, good: good, v-good: very good). Examples: unacc, acc, good

  19. T

    Japan Car Registrations

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 20, 2025
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    TRADING ECONOMICS (2025). Japan Car Registrations [Dataset]. https://tradingeconomics.com/japan/car-registrations
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1970 - Aug 31, 2025
    Area covered
    Japan
    Description

    Car Registrations in Japan decreased to 159854 Units in August from 220544 Units in July of 2025. This dataset provides - Japan Car Registrations - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. F

    Sales: Retail Trade: Car Registration: Passenger Cars for Japan

    • fred.stlouisfed.org
    json
    Updated Jan 21, 2021
    + more versions
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    (2021). Sales: Retail Trade: Car Registration: Passenger Cars for Japan [Dataset]. https://fred.stlouisfed.org/series/SLRTCR03JPA657S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 21, 2021
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for Sales: Retail Trade: Car Registration: Passenger Cars for Japan (SLRTCR03JPA657S) from 1970 to 2020 about car registrations, Japan, retail trade, vehicles, sales, and retail.

Share
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Email
Click to copy link
Link copied
Close
Cite
Waqar Ali (2024). Cars Dataset (2010-2020) [Dataset]. https://www.kaggle.com/datasets/waqi786/cars-dataset-2010-2020
Organization logo

Cars Dataset (2010-2020)

A Comprehensive Dataset of Car Specifications from 2010 to 2020.

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jul 23, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Waqar Ali
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Description

This dataset captures detailed specifications of 10,000 cars manufactured between 2010 and 2020. It provides a comprehensive resource for various analytical and machine learning projects, including price prediction, market trend analysis, and comparative studies among different car makes and models.

The dataset includes essential attributes such as the make and model of the car, the year of manufacture, engine size, fuel type, and the price in USD. These attributes allow for in-depth analysis and modeling, facilitating insights into market trends, price prediction, and comparative studies among different car makes and models.

The car makes and models were selected from popular vehicles available in the market, reflecting consumer preferences and market availability. The prices, engine sizes, and fuel types were randomly assigned within realistic ranges, ensuring that the dataset remains representative and suitable for various analytical purposes.

Whether you are an automotive enthusiast, a data scientist, or a machine learning practitioner, this dataset offers a rich foundation for your projects. It can be used to develop machine learning models to predict car prices, analyze trends in the automotive market, compare different car makes and models, study the distribution and evolution of fuel types, or for educational purposes in data science and machine learning courses.

The data was meticulously generated using the Faker library to simulate realistic car specifications. This dataset is versatile and can be used for a wide array of projects, making it a valuable tool in your analytical and predictive endeavors.

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