Aim: The aim of this article is to present a simulation of the theft by intimidation for a period of one year which allows to establish a comparative analysis and a reflection on public policies. Method: ABM (agent-based model) was used in order to recreate the interaction between the different stakeholders and record levels of theft as the efficiency of public policies varies. Results: The results suggest that prevention policies have a greater impact to reduce the number of thefts with regard to coercive measures, as well as the existence of a natural rate of thefts when policies increase their capacity for impact. Conclusions: Coercive policies only play a role of containment and do not help to reduce the levels of theft; spatially, are configured theft niches in the virtual "territory" where agents interact, and diminishing marginal returns for the impact capacity of the simulated policies are observed.