The data set contains information collected from road traffic injury victims. The data was collected from all traffic injury victims, regardless of age and sex except those who were dead on arrival, comatose, and had no attendant. The variables included in this data includes, crash characteristics, hospital arrival time, road user category, availability of pre-hospital first aid, type of transportation used to transfer the victim, clinical findings, the outcome in the emergency department, and decision after evaluation at the emergency department.

 The primary outcome was time to death measured in hours between road traffic injury and the 30th day of injury. Accordingly, those victims who died between injury times to the 30th day of injury were events, and those who were still alive on the 30th day were censored cases.  Secondary outcomes were pre-hospital first aid, length of hospital stay, and hospital arrival time.  The exposure variable was having any degree of injury by any vehicle.

The finding of the study showed, there were 80 deaths during the study time, (2.90 deaths per 10,000 person-hours of observation (95% CI: 2.77, 3.03). Being a driver, accidents at the inter urban locations, time from injury to hospital arrival time of 1 to 4 hours, systolic blood pressure on admission of less than 90mmHG, GCS of less than 8 on admission and poly trauma were found to be independent predictors of time to death.

The dataset was collected from 01-May 2019 to 30-February 2020. The data has been processed by linear mixed model on STATA. The article produced is accepted by Journal of BMJ Open for publication.

The readme file contains description of each variable and recategorized variables. The units used in the data set were also described in the readme file.