Objective: The aim of this study was to evaluate the spatial analysis of drug-related crimes in Iran's provinces. Method: The statistical population of this study consisted of 31 provinces of the country based on the data of 2015. The model used for datat analysis included Prometheus, Global Moran statistics, and Oval standard deviation. Results: The provinces of Ilam and Tehran with Phi values of 0.736 and – 0.803 were placed in the best and worst ranks for drug-related offenses, respectively. The spatial analysis of the global Moran model shows that drug traffickers and distributors, addicts and consumers od crystal, cocaine, ampoules, psychedelic pills, and precursors are the indexes that contain randomized distribution model; and the indicators of other substances, grasses, hashish, opium and sap, morphine, heroin, and foreign substances have a cluster distribution pattern. In addition, the results of the oval test indicated a standard deviation from the distribution direction of southeast to northwest. Conclusion: The assessment and spatial analysis of drug-related crimes showed that border provinces and Tehran as the capital of the country are exposed to drug-related crimes more than other provinces