Understanding human vulnerability to landslides is essential for predicting and preventing human loss of life. While much scholarship has been devoted to quantifying the physical vulnerability of buildings to landslides, there is no comparable work that quantifies human vulnerability for use in risk assessment. The dataset presented in this project is the first step in (1) creating an empirical human vulnerability relationship to estimate an individual’s probability of death in a landslide; (2) detailing the human characteristics, behaviors, and settings that contribute to landslide mortality; and (3) developing evidence-based, actionable strategies to minimize personal landslide risk. Conclusions drawn from this dataset are detailed in Pollock and Wartman (2020). In the construction of this dataset we reviewed academic literature, government reports, news stories, survivor accounts, coroner reports, and legal filings that described landslide events that impacted occupied structures. The basic information required for inclusion in the dataset was the flow depth of debris at the structure, the number of occupants, and the outcome for the exposed individuals (survived or deceased). We recorded basic information about the landslide (date, time of day, mode of failure), structure (construction material, location), and individuals (age, gender). When available, we also used first- or second-hand accounts to reconstruct individuals’ prior knowledge of the threat, location in the structure, and behavior around the time of the impact, using proxies for deceased individuals. We were unable to reconstruct complete information in all fields for all individuals. No direct human subjects research was performed as part of this work, and all sources are public record. Identifying information, even when publicly available, was anonymized to protect individuals’ privacy. Pollock, W., Wartman, J. (2020). Human vulnerability to landslides. Manuscript submitted for publication.