This study provides an in-depth analysis of the socio-economic conditions of several neighborhoods in Naples, with particular focus on areas characterized by higher social distress, high population density, significant presence of foreign residents, and indicators of economic vulnerability. The investigation centers on objective indicators that highlight how, despite urban regeneration policies initiated since the late 19th-century Risanamento law, territorial segregation phenomena have intensified rather than diminished. By employing multivariate analysis techniques and constructing synthetic indicators of socio-housing distress, integrated with the 2024 microzone data released by ISTAT, a complex and detailed picture emerges. The study reveals that areas of distress and poverty, persistent for at least a century, have only partially benefited from public interventions, which have mainly targeted zones with high accessibility to urban and suburban transport and a greater concentration of public and private services. The increase in real estate values in these areas, along with the recent phenomenon of overtourism, has contributed to intensifying segregation in adjacent neighborhoods, where adequate building restoration efforts and initiatives to address the rise in NEETs and promote the integration of new foreign residents have been lacking. The socio-housing distress mapping proposed in this study can be considered a proxy for poverty measures, which are currently unavailable at a detailed scale below the municipal level.
CNR-IRISS, Institute for Research on Innovation and Services for Development, Italy
ISTAT, Italian National Institute of Statistics, Italy
Titolo del capitolo
Measuring socioeconomic well-being in Naples’ urban micro-areas through advanced data analytics: Historical perspectives and current trends
Autori
Angela Digrandi, Pasquale Cimmino
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.37
Opera sottoposta a peer review
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Titolo del libro
Data, Statistics and AI for Well-Being of People and Organisations
Curatori
Luigi Fabbris, Alberto Franci, Pietro Renzi
Opera sottoposta a peer review
Numero di pagine
420
Anno di pubblicazione
2026
Copyright
© 2026 Author(s)
Licenza d'uso
Licenza dei metadati
Editore
Firenze University Press
DOI
10.36253/979-12-215-1062-1
ISBN Print
979-12-215-1061-4
eISBN (pdf)
979-12-215-1062-1
eISBN (xml)
979-12-215-1063-8
Collana
Applied Statistics Series