[LAB] The aim of this study was to examine the relationship between environmental facilities as risk factors and crime. Police data of crimes against property and violent criminal offences registered in 2018 in the city of Niš, Serbia, were geocoded. Grid cells of 100 by 100 metres were designed as the spatial units for analysis, and the geoinformation data of 12 different facilities were extracted from a geographic information system. A negative binomial regression model was constructed to investigate facilities associated with crime. The results suggest that crime is mostly related to facilities such as banks and exchange offices, bus stops, gyms, and recreational centres. On the other hand, cafés, nightclubs, and large shopping centres were not significantly associated with crime. Finally, the limitations as well as the practical and theoretical applications of the research are discussed.