Landslides are one of the recurrent and massively damaging disaster in Nepal. Within last few decades, devastating landslides have repeatedly hit various regions of the country. The impact of a landslides has been extensive, including loss of life, destruction of infrastructure, and loss of natural resources. However, like many other developing countries, in Nepal, a systematic official landslide database is not developed yet. This study compiled 478 landslides point that caused 2314 fatalities within the period of 2004 to 2017. Landslides in Nepal were mainly triggered by substantial rainfall, hill cutting, mining, and earthquake, while the triggering factors vary throughout the study areas. This research performed a hotspot analysis to identify spatial concentration of high and low landslide affected areas. After careful study and analysis of the events in ArcGIS environment using various spatial interpolation and regression techniques, the dataset provided the valuable information regarding the trends of data. The landslide events were spatially autocorrelated and clustering was high in the central region of Nepal. This study will assist researcher for landslide risk studies through understanding the trends of landslide related causalities; policymakers for formulating suitable policies considering the high landslide affected areas; and help local communities to protect their life and properties through raising awareness.

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