This research aims to determine the spatial-local pattern of crimes and delinquency in the villages of Rasht county, using a descriptive-analytical method through documentary and survey sources and using the Local Moran I (ALMI) statistic. The statistical population was the villages of Rasht county and the sample population was all individuals with a criminal record in this area. Data analysis using the Kernel function indicates that the most hot spots in various crimes, including violations of public morality and decency, drugs, destruction, waste and arson of property, military and law enforcement, imprisonment on the day of reckoning, financial-legal convictions, acts against family rights and duties, theft and abduction of other people's property, crimes against property and ownership, and finally crimes against individuals are near the city of Koch-e-Sfahan, and the most crimes of disrupting the economic system, crimes against government employees, crimes against public property, and crimes of prisoner escape are near the city of Rasht. There have been crimes against national security and crimes against public order near the city of Lasht-e-Nasha, crimes against the environment and natural resources near the city of Khoshkbijar, and food, pharmaceutical, and health crimes near the city of Sangar. Most of the criminals live in villages close to the city. patial-spatial patterning of crimes showed that the dominant pattern was random and non-random behavior existed in some rural areas to a limited extent. These behaviors appeared in various cluster and non-cluster forms with the local Moran's I statistic, including 22 villages in the high-high cluster (HH), 28 villages in the low-low cluster (LL), 13 villages in the high-low cluster (HL), and 16 villages in the low-high cluster (LH).