LOCKED: A Dataset of Sociodemographic, Economic, Health and Living Features to Assess Mental Health Impact of the Spanish Lockdown during COVID-19

The COVID-19 pandemic, which began in late 2019 in Wuhan, China, quickly escalated into a global crisis, affecting nearly every aspect of life. Governments worldwide implemented stringent public health measures to control its spread, including quarantines, social distancing, and lockdowns. In Spain, where the first cases emerged in January 2020, a nationwide lockdown was enforced on March 14 after infections surpassed 5,000. While these interventions were crucial for public health, they also introduced profound societal challenges, particularly for vulnerable populations. This study presents a dataset combining psychological assessments of nine mental health conditions with sociodemographic, economic, living, and health variables, aiming to identify the key factors influencing mental health outcomes during the lockdown. By analyzing this data, the research seeks to shed light on the broader psychological effects of the pandemic and the factors that may exacerbate or mitigate these impacts. The dataset performed well with different machine learning models with values over 80%. It is publicly available at https://zenodo.org/uploads/14203988.