Dataset on Road Traffic Fatalities in Medellín, Colombia (2008–2025)

Published: 9 March 2026| Version 1 | DOI: 10.17632/r6g5dfnpgh.1
Contributor:
Cristian Correa

Description

This dataset contains administrative records of road-traffic incidents reported in Medellín, Colombia, between 2008 and 2025. The data were obtained from official records of the Secretaría de Movilidad de Medellín and include more than 700,000 incident reports, of which 2,762 correspond to fatal events. Each row represents a single incident and includes temporal, categorical, and spatial information that allows the study of traffic safety patterns in the urban mobility system. The dataset includes variables describing the year, date, and time of the incident; the class of incident (e.g., pedestrian strike, collision, occupant fall, rollover); incident severity; and geographic coordinates (latitude and longitude). Additional administrative variables identify the planning district (comuna) and neighborhood where the incident occurred. Coordinates are provided in decimal degrees (WGS84), enabling integration with geographic information systems (GIS). The dataset is structured to support reproducible statistical analysis. A reproducible R script included in the repository generates the descriptive tables and statistical model reported in the associated research article, including the construction of the fatal-incident subset and the estimation of a grouped binomial logistic regression model examining factors associated with fatal outcomes. The data show that vehicle collisions represent the majority of incidents, while pedestrian strikes account for a smaller share of events but a disproportionately large share of fatalities. These patterns highlight how road-traffic mortality reflects structural characteristics of urban mobility systems rather than purely random events. This dataset can be used for research in road-traffic safety, urban mobility, spatial epidemiology, and public policy analysis. It enables longitudinal analyses of traffic incidents and supports reproducible research on urban transport safety in Latin American cities.

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Public Health, Urban Studies, Data Science, Road Transportation

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