Abstract
Student mobility is a distinct form of human movement. It can indicate the characteristics and attractiveness of regions, which is relevant for governance, policy, and planning. In Europe, the Erasmus+ programme has facilitated the mobility of over two million students between 2014 and 2022, and this individual-level mobility data is openly available. However, the lack of spatial information hinders its use in geographical research. In this article, we present enriched student mobility data by adding spatial information at the Local Administrative Unit (LAU) and Nomenclature of Territorial Units for Statistics (NUTS) 3 regional levels. Using the Photon geocoding service, we converted textual origin and destination locations into spatial data, creating a precise annual-level mobility dataset. The geolocated student mobility dataset contains both individual- and aggregate-level mobility flows between LAU and NUTS 3 spatial units across Europe from 2014 to 2022. We validated the geolocated data through random sampling and manual verification, achieving accuracy scores above 96%. Finally, we provide use cases for the data.