Statistical indicators for the analysis of social sustainability and human well-being

Social sustainability is the ability to ensure a fair distribution of the conditions of human well-being: it aims at the quality of life, security and services for citizens. A fundamental prerequisite for a correct statistical analysis of this phenomenon is the need to share a clear definition of the concept of social sustainability. Regional statistics and science should contribute to the achievement of sustainability objectives by providing increasingly efficient and goal-oriented data, indicators and methodologies for spatial analysis, to accompany every activity of planning and implementing sustainable development. In this work, the multidimensional statistical analysis methodology (TFR method) and the spatial clustering method will be used to aggregate adjacent space units with high intensity phenomena (DBSCAN). The complexity of the phenomenon of social sustainability therefore raises the need to identify analytical techniques that allow the difficulties to be framed in a wider context, to improve knowledge of the problem to be addressed through specific economic and social interventions.