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A proposal for the analysis of socio-economic deprivation in metropolitan city municipalities

  • Giancarlo Carbonetti
  • Flavio Biasciucci
  • Daniela Fusco
  • Maria Tiziana Tamburrano
  • Valeria Quondamstefano
  • Debora Tronu

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.

  • Keywords:
  • Census,
  • Administrative data,
  • Socio-economic Deprivation,
  • Composite Index,
  • Integrate register system,
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Giancarlo Carbonetti

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0003-1073-9813

Flavio Biasciucci

ISTAT, Italian National Institute of Statistics, Italy

Daniela Fusco

ISTAT, Italian National Institute of Statistics, Italy

Maria Tiziana Tamburrano

ISTAT, Italian National Institute of Statistics, Italy

Valeria Quondamstefano

ISTAT, Italian National Institute of Statistics, Italy

Debora Tronu

ISTAT, Italian National Institute of Statistics, Italy

  1. Allik, M., Brown, D., Dundas R., Leyland, A.H. (2016). Developing a new small area measure of deprivation using 2001 and 2011 census data from Scotland. Health & Place, 39, pp. 122–130. DOI: 10.1016/j.healthplace.2016.03.006
  2. Carbonetti, G., Biasciucci, F., Cutillo, A., Mazziotta, M., Quondamstefano, V., Tamburrano, M.T., Tronu, D. (2025). Measuring socio-economic deprivation at sub-municipal level through the integration of census and administrative data. Italian Journal of Economic, Demographic and Statistical Studies – RIEDS, XXIX(1), pp. 7-18. DOI: 10.71014/sieds.v79i1.304
  3. Istat - Istituto Nazionale di Statistica (2020). Le misure della vulnerabilità: un’applicazione a diversi ambiti territoriali, Istat, Roma.
  4. Mazziotta, M., Pareto, A. (2017). Synthesis of indicators: The composite indicators approach. In: F. Maggino (ed.). Complexity in Society: From Indicators Construction to their Synthesis. Social Indicators Research, pp. 159-191. DOI: 10.1007/978-3-319-60595-1_7
  5. Mazziotta, M., Pareto, A. (2016). On a generalized non-compensatory composite index for measuring socio-economic phenomena. Social Indicators Research, 127(3), pp. 983-1003. DOI: 10.1007/s11205-015-0998-2
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  • Anno di pubblicazione: 2026
  • Pagine: 123-128

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  • Anno di pubblicazione: 2026

Informazioni sul capitolo

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

CC BY 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

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

CC BY 4.0

Licenza dei metadati

CC0 1.0

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

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979-12-215-1063-8

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Applied Statistics Series

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