Criminal acts are prohibited, strictly enforced, and subject to legal penalties in every country to ensure the protection of society. According to data from the Indonesian National Police (Polri) published on the Data Indonesia portal, a total of 288,472 criminal incidents occurred in Indonesia throughout 2023, reflecting a 4.33% increase compared to the previous year’s 276,507 cases. Notably, records from Polda Metro Jaya, which includes the city of Depok, indicate a 32% rise in crime rates in 2023 compared to 2022. The primary objective of this study is to categorise crime levels within Depok City using the K-Means clustering algorithm, based on crime report data obtained from the Metro Depok Police Resort. The classification is structured into three categories: high risk, moderate risk, and low risk. The dataset employed in this study comprises information on five major crime types, namely: aggravated assault (Anirat), aggravated theft (Curat), violent theft (Curas), motor vehicle theft (Curanmor), and extortion/threats (Peras/Anc). These crimes exhibited the highest occurrence rates across different precincts within Depok City in 2023 and were subsequently clustered using the K-Means algorithm. The research methodology follows the Cross-Industry Standard Process for Data Mining (CRISP DM), which consists of six stages: business understanding, data understanding, data preparation, modelling, evaluation, and deployment. Based on the evaluation of the clustering results, the optimal number of clusters was determined to be three, with a Silhouette Score of 0.5891 or 58,9 %.