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West Africa Vehicle Market Dataset
Stock & Market Data
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About
This collection of data features the prices and specifications of new and used vehicles traded in Nigeria. The information was obtained through web scraping from cars45, which is noted as Nigeria's largest car sales website. With over 3700 individual car records, the data provides crucial features such as the make, model, year of manufacture, mileage, and sale price in Naira. It is highly relevant for automotive market analysis and building predictive models.
Columns
- car_id: A distinct identifier assigned to each vehicle.
- price: The selling price of the vehicle, denominated in Naira. Prices range from 550,000 Naira up to 62.4 million Naira.
- fuel type: Indicates the type of fuel the vehicle uses; Petrol accounts for 99% of entries.
- gear type: The vehicle's transmission type, predominantly Automatic (94%).
- Make: The brand of the vehicle; Toyota is the most frequently observed make at 43%.
- Model: The specific model of the vehicle, with Camry being the most common at 15%.
- Year of manufacture: The year the vehicle was manufactured, spanning from 1979 to 2022.
- Colour: The vehicle's exterior colour; Black is the most common at 27%.
- Condition: The current condition, split primarily between Nigerian Used (76%) and Foreign Used (24%).
- Mileage: The total distance the vehicle has travelled, measured in kilometres.
- Engine Size: The size of the vehicle's engine, measured in cubic centimetres.
- Selling Condition: Status indicating if the vehicle is currently Registered or Imported.
- Bought Condition: Status indicating if the vehicle was initially purchased as Imported or Registered.
- car: The general type of vehicle (e.g., SUV). Note: This column has significant missing values (53%).
- Trim: The specific trim level of the vehicle. Note: This column has significant missing values (76%).
- Drivetrain: Details regarding the vehicle's drivetrain system. Note: This column has significant missing values (77%).
- Seats: The number of seats in the vehicle. Note: This column has significant missing values (79%).
- Number of Cylinders: The count of cylinders in the vehicle's engine. Note: This column has significant missing values (78%).
- Horse Power: The engine power output, measured in horsepower. Note: This column has significant missing values (80%).
- Registered city: The city where the vehicle is registered. Note: This column has approximately 49% missing values, with LAGOS being the most common valid entry (22%).
Distribution
The data is delivered in a standard tabular format. It is provided as a CSV file named
car_prices.csv, weighing 534.85 kB. The structure includes 20 columns and contains 3722 records concerning cars and their related attributes. The usability score is rated at 10.00.Usage
This data product is ideally suited for regression tasks, particularly the prediction of automobile sale prices in the Nigerian market. Analysts can leverage the details to study vehicle depreciation, identify regional market preferences, and examine the impact of factors like mileage, engine size, and age on valuation. It provides a robust basis for conducting African market research within the automotive sector.
Coverage
The geographic scope is focused on Nigeria, encompassing prices and specifications derived from a major national sales platform. The manufacturing years of the vehicles included range broadly from 1979 up to 2022. The dataset captures transactions for both newly acquired and previously owned cars. It is important to note that specific technical columns like seats, horsepower, and cylinder count, along with the registered city, contain a high percentage of missing values.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers: For developing sophisticated regression models to forecast car prices.
- Automotive Industry Analysts: For observing market dynamics, competitive positioning of brands (e.g., Toyota and Honda dominance), and tracking import/registration trends.
- Academic Researchers: For studying economic factors influencing second-hand vehicle markets in West Africa.
Dataset Name Suggestions
- Nigerian Auto Price Prediction Data
- West Africa Vehicle Market Dataset
- Used and New Nigerian Car Prices
- Cars45 Scrape Data
Attributes
Original Data Source: West Africa Vehicle Market Dataset
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