In recent years, Istat has been engaged in a profound revision of the processes for producing official statistics. The implementation of the Permanent Population and Housing Census and the Integrated Register System has increased the supply of highly detailed territorial data for the study of demographic, social and economic phenomena. This is the background to the Istat study project on socio-economic deprivation at sub-municipal level, carried out for the largest municipalities with the aim of identifying the areas where the deprivation of families and individuals is most concentrated. This paper proposes a study of deprivation in the Metropolitan Cities (MC). These consist of the sub-municipal areas of a large capital municipality and the small and medium-sized municipalities that make up the MC, with strong links to the capital municipality, which acts as the economic and social hub for all the municipalities in the metropolitan area. The study aims to verify the profile and degree of interaction between the most deprived areas of the MC's main municipality, often located in the periphery, and the neighbouring municipalities, often characterised by high levels of marginality. The objective is to identify the most deprived areas and study their socio-demographic characteristics to suggest targeted interventions to combat social exclusion and economic, employment and educational difficulties. The results may facilitate the role in the governance of the metropolitan area, orienting policies, and strategies for territorial development.
ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0003-1073-9813
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
ISTAT, Italian National Institute of Statistics, Italy
Titolo del capitolo
A proposal for the analysis of socio-economic deprivation in metropolitan city municipalities
Autori
Giancarlo Carbonetti, Flavio Biasciucci, Daniela Fusco, Maria Tiziana Tamburrano, Valeria Quondamstefano, Debora Tronu
Lingua
Inglese
DOI
10.36253/979-12-215-1062-1.23
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