The objective of this study is to define suitable locations for electric vehicle (EV) charging stations in neighborhoods in the North Zone of Rio de Janeiro, Brazil. The methodology used involved formulating the location problem as a p-median problem, which allowed the identification of the best positions to install a pre-defined number of EV charging stations. The p-median method was applied to determine the optimal locations for the installation of EV charging stations. As a result, the application of the p-median method led to the selection of the following stations: Rio Comprido, São Cristóvão, Bonsucesso, and Colégio Stations. These locations were chosen based on the minimization of weighted total distances, ensuring efficient coverage of the demand points in the studied region. It is concluded that the p-median method was effective in defining the locations for EV charging stations, considering the geographical distribution and demand of the neighborhoods. Additionally, this study highlights the importance of mathematical and computational methods in solving location problems and suggests the application of such methods to improve urban infrastructure and promote the adoption of sustainable technologies, such as EVs.