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British Pre-Owned Vehicle Ledger

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Tags and Keywords

Vehicles

Pricing

Automotive

Listings

Uk

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British Pre-Owned Vehicle Ledger Dataset on Opendatabay data marketplace

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About

Extensive record of the United Kingdom's secondary vehicle market, capturing listings from October 2022. This collection provides granular details on over one million listings, cleaned to approximately 818,000 valid records to ensure high data quality by removing duplicates and null price values. It serves as a vital resource for understanding automotive pricing trends, inventory distribution, and seller behaviours across the UK. The data includes diverse attributes ranging from technical specifications like engine size and body type to sales data such as financing options and seller ratings, offering a robust foundation for market analysis and predictive modelling.

Columns

  • index: Unique identifier for the record.
  • make: The manufacturer of the vehicle (e.g., Mercedes-Benz, BMW).
  • model: The specific model of the vehicle (e.g., C Class, A Class).
  • variant: The specific trim or version of the model (e.g., SE, TDI).
  • car_price: The listed price of the vehicle in GBP.
  • car_badges: Highlights or badges associated with the listing (e.g., 'Good price', 'Finance available').
  • car_title: The main title of the advertisement.
  • car_sub_title: Additional descriptive text for the advertisement.
  • car_attention_grabber: Marketing text used to attract buyers (e.g., '2 years free servicing').
  • car_specs: A string containing technical specifications (e.g., SUV, 1.5L, Manual, Petrol).
  • car_seller: The type of seller (e.g., Private seller, Cazoo).
  • car_seller_rating: The numerical rating of the seller (1-5 scale).
  • car_seller_location: The geographic location of the seller (e.g., Peterborough, Birmingham).
  • year: The vehicle's year of manufacture.
  • reg: The registration plate series (e.g., 19 reg).
  • body_type: The category of the vehicle body (e.g., SUV, hatchback).
  • miles: The total mileage recorded on the vehicle.
  • engine_vol: The volume of the engine.
  • engine_size: The size of the engine.
  • engine_size_unit: The unit of measurement for engine size (e.g., ps, bhp).
  • transmission: The type of transmission (Manual vs Automatic).
  • feul_type: The type of fuel required (e.g., Petrol, Diesel).
  • num_owner: The number of previous owners.
  • ulez: Indicator of whether the vehicle is ULEZ (Ultra Low Emission Zone) compliant.
  • full_service: Indicator of a full service history.
  • part_service: Indicator of a partial service history.
  • part_warranty: Indicator of available part warranty.
  • full_dealership: Indicator of full dealership history or status.
  • first_year_road_tax: Indicator if the first year of road tax is included.
  • brand_new: Indicator if the vehicle is brand new.
  • finance_available: Indicator if finance options are available.
  • discounted: Indicator if the vehicle price is discounted.

Distribution

  • Format: Tabular data in CSV format (all_car_adverts.csv).
  • Size: Approximately 279.27 MB.
  • Structure: Contains over 1 million original rows, processed down to roughly 818,000 valid records after cleaning. The dataset features 32 columns per record.
  • Sorting: Data is sorted alphabetically by make, model, and variant.

Usage

  • Price Prediction Models: Training machine learning algorithms to estimate vehicle value based on mileage, age, and specifications.
  • Market Trend Analysis: Evaluating the popularity of specific brands, fuel types (petrol vs diesel), and body types (SUV vs hatchback) in the UK market.
  • Depreciation Studies: Analysing how vehicle value decreases over time and mileage for different manufacturers.
  • Inventory Management: Assisting dealerships in understanding competitive pricing and stock levels in various locations.
  • Exploratory Data Analysis (EDA): Visualising relationships between seller ratings, location, and pricing strategies.

Coverage

  • Geographic Scope: United Kingdom (locations include Peterborough, Birmingham, and others).
  • Time Range: October 2022.
  • Demographic/Content Scope: Covers a wide range of vehicle types, predominantly SUVs (37%) and Hatchbacks (33%), with a mix of private and trade sellers. Includes petrol (51%) and diesel (40%) vehicles.

License

CC0: Public Domain

Who Can Use It

  • Data Scientists & Analysts: For practicing data cleaning, visualisation, and regression modelling.
  • Automotive Economists: For assessing the health and trends of the secondary car market.
  • Car Dealerships: For competitive intelligence and pricing strategy formulation.
  • Consumer Advocates: For analysing the prevalence of financing options and seller reliability.

Dataset Name Suggestions

  • UK Used Car Market Listings (October 2022)
  • British Pre-Owned Vehicle Ledger
  • GB Automotive Pricing & Specifications Database
  • United Kingdom Vehicle Sales Snapshot 2022

Attributes

Original Data Source: British Pre-Owned Vehicle Ledger

Listing Stats

VIEWS

3

DOWNLOADS

0

LISTED

03/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format