The pursuit of safety is a shared imperative for individuals, communities, and nations. The increase in population, coupled with factors like inflation, unemployment, and the disruptive effects global phenomenon, has contributed to a significant rise in crime rates, particularly in underdeveloped countries like Pakistan. To address this issue, we have suggested the application of Association Rule Mining (ARM) methods like Apriori algorithm and Frequent Pattern growth. These methods aim to analyze data and provide valuable insights, which can support law enforcement agencies in their efforts to decrease crime rates. ARM methods play a crucial role in analyzing large-scale historical and current crime data, as they help identify crime trends and patterns that can inform future prevention strategies and actions.