Objective. The current research aims to develop a statistical method to analyze police-reported Injury Severity data looking for the most relevant variable, and which condition are more prone to increase the severity level as a crash output. This study tries to contribute to the knowledge about crash data analysis in literature, thanks to the fact of the large amount of data available in the Maryland Crash Database (two years with more than 300K crashes per year). Methods. Since Injury Severity (IS) level is the dependent variable in the model and being this consisting of discrete ordered value, a Discrete Choice Modelling approach was considered as the most suitable option in this scenario.