Citizen criminality is a social problem that affects to some big cities un the world. Specifically, in Lima, Peru, there is a serious problem on criminality. However, this problem is very different in each district of Lima city. In addition, people, who comet crime, reside generally in other district. In this way, in this work, a geospatial analysis of the place where reside the people who committed crime, is developed, by applying of the grey clustering method. The case study was carried out in thirty-two districts of Lima city, in order to analyze the provenance of prisoners in the jails of Lima city. The results showed that the districts with more prisoners in the jails of Lima city were San Juan de Lurigancho, Cercado de Lima, and Villa El Salvador. In addition, the districts with less prisoners in the jails of Lima city were Ancon, Carabayllo, and Puente Piedra. The results of this study could help to local and central government to make the best decision on the criminality in the districts of Lima city by applying of focused plans or programs.