View AbstractThis research paper presents a comprehensive analysis of crime patterns in the Kashmir valley from 2016 to 2021, using geospatial data analysis techniques. The study categorizes crimes into various types and provides statistical measures such as mean, median, mode, standard deviation, range, and interquartile range to analyze the distribution of each crime type. The findings reveal that thefts, molestation, and rioting are the most commonly reported crimes in Kashmir, with 969.17, 1083.5, and 1046.5 cases per year on average, respectively. In contrast, dowry death is the least reported crime type, with an average of only 0.5 cases per year. The study highlights significant consistent rise in crime in the valley, with the exception of a slight decline in growth rate between 2017 and 2019. The district of Srinagar, Kulgam, and Shopian had the highest rate of crime in the valley on the other hand, Anantnag, Baramulla, Kupwara, and Bandipora districts all saw a considerable decrease in crime, with Bandipora having the lowest crime rate. Moreover, the differences in the frequency of certain crimes, such as rape, dacoity, and eve-teasing, between the mean and median values, indicating the presence of extreme cases. Moreover, the analysis identifies rioting and kidnapping/abduction as high variance crimes with a wide range and high interquartile range values. These findings provide valuable insights for law enforcement agencies and policymakers to develop targeted crime prevention strategies. Overall, the research underscores the importance of using geospatial data analysis techniques to better understand crime patterns and improve crime prevention measures.