The objective of the present research is the comparative investigation of road crash cost in the European Union and its correlation with social, economic and transport indicators. In this analysis, data from various international sources were exploited and a common database was developed, containing information about the rate of passenger cars use, GDP per capita, population, road traffic fatalities, suicides, number of passenger cars, Misery Index etc., other for the year 2015. By using a two-step cluster analysis, the countries were classified in three groups (economically strong, economically weak, countries with large population). Multiple Linear Regression Models were applied for all European countries considered and for the three groups as well. The results indicated that an increase in the rate of passenger cars use, leads to a decrease of the crash cost, while an increase of Misery Index is associated with increased crash costs. Lastly, economically strong countries show higher crash cost when compared with the other two groups.