<p>Landslides threaten life, property, and the socioeconomic well-being of mountainous regions. Natural disasters like landslides rise manyfold due to climate change and anthropogenic activities. Conducting repeated surveys and developing guidelines to mitigate these disasters effectively is crucial. The mapping of the landslide plays a vital role in assessing hazard-prone areas and the associated risks with them. Extensive areas with steep slopes characterize northeastern India, fall within zone V, and are highly susceptible to landslides. In this study, the frequency ratio model was utilized to identify landslide-prone areas of the Tamenglong district using Geographical Information Systems. A total of 416 landslide locations were identified between 2008 and 2018. These landslide inventory data were categorized as 70% for training and 30% for validation of the model. A total of ten causative factors for landslides were considered for this study. The thematic factor layer weights were determined using the frequency ratio model. These weighted thematic layers were combined using ArcGIS to create a landslide susceptibility map. The susceptibility map was categorized into five categories: very low, low, moderate, high, and very high zones. The model showed an accuracy of 91.05% in the success rate curve and 88.09% in the prediction rate curve. The generated map will provide valuable insights to developers and planners, aiding them in making decisions and planning infrastructure development in this area.</p>