For effective development and adaptation interventions in resource-poor regions to take place, it is critical to identify, at the highest spatial scale possible, regions of higher priority based on current needs and vulnerabilities. The index-based assessment of vulnerability to climate change and variability is typically used to identify administrative-level regions of high vulnerability using various socioeconomic and biophysical datasets. One method that combines both approaches at the community level consists of collecting highly resolved socio-economic data and using the livelihood vulnerability index (LVI) to assess population vulnerability to increased climate variability and shocks. We use this mixed-methods approach in mapping climate vulnerability of ten drought-prone villages in the central-east mid-hill region of Nepal. We integrate data from over 900 household surveys and national-level databases and identify spatial patterns in the different components of climate vulnerability. We as...