Dataset of wellbeing assessment before, during and after COVID‑19

The purpose of our dataset is to measure how the Covid-19 pandemic, along health, financial, professional and socio-demographic factors, have affected the behavior of individuals. We are also estimated on repeated measures (life before COVID-19, life now with COVID-19, and life after the COVID-19 pandemic, in terms of future expectation) for a large sample (1746 respondents) from 43 worldwide countries during the period of May 2020 and October 2022. These datasets contain useful information for policymakers to improve the conditions of living in the areas of health and welfare. Is also unique, because: is first survey to investigate the wellbeing in three measurement moments: pre-, during- and post- Covid- 19 pandemic. Second, we discovered a great diversity of factors that influence the behavior of individuals in pandemic context. Third, this dataset permits exploration of levels of happiness and carrying out comparative studies with other countries, because our database contains information about the well-known Subjective Happiness Scale (Lyubomirsky & Lepper, 1999).