Moroccan used cars dataset: Insights into the used car market

Abstract

The Moroccan used car market is a key indicator of consumer preferences, economic trends, and market dynamics in North Africa. This paper introduces the Moroccan Used Cars Dataset (MUCars-2024), which documents the used car market in Morocco throughout 2024. The dataset offers a detailed view of vehicles listed for sale during this period, providing valuable insights into this rapidly evolving market. Data were collected from prominent online platforms dedicated to car sales using web scraping techniques, ensuring comprehensive coverage. Post-collection, data were rigorously preprocessed, which included removing unreliable features with excessive missing data and standardizing other attributes such as price, mileage, and vehicle characteristics. The final dataset contains 101,896 listings, offering a robust representation of the Moroccan used car market. MUCars-2024 provides a rich set of features-including vehicle specifications (brand, model, year), condition (mileage, first-owner status), and technical details (fiscal power, gearbox)-that enable detailed analysis. As a versatile resource for disciplines like economics, artificial intelligence, and automotive studies, it allows researchers to develop price prediction models, perform clustering analyses, and conduct spatial studies on consumer demand. The MUCars-2024 dataset provides a high-resolution snapshot of a critical year in Morocco's automotive market. It serves as a foundational baseline for future temporal studies and enables immediate cross-market comparisons. As a publicly accessible resource, it directly supports research reproducibility and fosters innovation by bridging the gap between raw market data and academic inquiry, offering a valuable tool for data-driven research and industry practice.