Length of stay is one of the most important decisions made by tourists as it conditions their overall expenditure and stress caused on local resources. This article estimates survival analysis models to learn the determinants of length of stay as survival analysis naturally lends itself to study the time elapsed between arrival and departure. It is found that sociodemographic profiles, such as nationality and gender, and trip attributes, such as repeat behavior, travel motive, and type of flight, are important determinants of length of stay. This article's results are important to design marketing strategies that effectively influence length of stay.