JUCars-2024: A dataset of used car listings in Jordan

The used car market in Jordan is a very important component of national transportation and economic systems that reflect consumer preferences, import policies, and affordability constraints. This article presents the Jordanian Used Cars Dataset (JUCars-2024), records of used car advertisements collected throughout 2024. The dataset contains detailed information about vehicles offered for sale, their prices, technical features, and location-related features. Online car marketplaces in Jordan were selected as prominent online car markets and used as a source of data using automated web scraping implemented in Python in a Jupyter Notebook environment. After collection, the data were preprocessed systematically, including removal of duplicates. The resulting data constitute a structured dataset, which can be reused in machine learning, economic efforts, and policy-related studies. JUCars-2024 provides a publicly available, reproducible tool, which assists in price forecasting, market classification, modeling of the Jordanian used car market.

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Publication Details

Journal
Data in Brief
Published
2026-03-16
DOI
https://doi.org/10.1016/j.dib.2026.112682
Primary Topic
Energy, Environment, and Transportation Policies
Type
article
Field-Weighted Citation Impact
0.00
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article

JUCars-2024: A dataset of used car listings in Jordan

Data in Brief
Energy, Environment, and Transportation Policies
article

JUCars-2024: A dataset of used car listings in Jordan

article en

Abstract

The used car market in Jordan is a very important component of national transportation and economic systems that reflect consumer preferences, import policies, and affordability constraints. This article presents the Jordanian Used Cars Dataset (JUCars-2024), records of used car advertisements collected throughout 2024. The dataset contains detailed information about vehicles offered for sale, their prices, technical features, and location-related features. Online car marketplaces in Jordan were selected as prominent online car markets and used as a source of data using automated web scraping implemented in Python in a Jupyter Notebook environment. After collection, the data were preprocessed systematically, including removal of duplicates. The resulting data constitute a structured dataset, which can be reused in machine learning, economic efforts, and policy-related studies. JUCars-2024 provides a publicly available, reproducible tool, which assists in price forecasting, market classification, modeling of the Jordanian used car market.

Data in BriefVol. 66
Al-Balqa Applied University (JO), Arab Open University (JO)
Openalex Percentile: Top 23%
Energy, Environment, and Transportation Policies
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