Local mortality patterns in Italy at the beginning of the 21st century

We analysed mortality levels and trends at the municipal level in Italy between 2002 and 2018, covering approximately 8000 local administrative units. Detailed mortality data at this level are unavailable, and apparently only crude death rates can be calculated (deaths divided by the average, i.e. mid-year, population). To overcome this limitation, we calculated standardised mortality ratios (SMR), comparing observed deaths to expected deaths derived by applying national age-specific mortality rates to local population age structures. We validated this approach, examined its properties, and used it to investigate local mortality patterns across Italy. Our findings highlight limited territorial heterogeneity in SMR, although with a slight increase over time: the coefficient of variation rose from 12.5% to 15%. The between-region variance component also increased, while the within-region component remained predominant, accounting for approximately 80% of the total variance. Selected ecological factors, particularly an Istat-developed frailty index for municipalities, were found to correlate with small-scale mortality patterns. Global spatial regression models (spatial autoregressive—SAR and spatial error—SEM) further revealed strong spillover effects influencing local mortality.

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Publication Details

Journal
Genus
Published
2026-02-23
DOI
https://doi.org/10.1186/s41118-025-00262-3
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
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article

Local mortality patterns in Italy at the beginning of the 21st century

Gustavo De Santis, Federico Benassi, Mauro Maltagliati, Gianni Carboni
Genus
Spatial and Panel Data Analysis
article

Local mortality patterns in Italy at the beginning of the 21st century

Gustavo De Santis, Federico Benassi, Mauro Maltagliati, Gianni Carboni
article en

Abstract

We analysed mortality levels and trends at the municipal level in Italy between 2002 and 2018, covering approximately 8000 local administrative units. Detailed mortality data at this level are unavailable, and apparently only crude death rates can be calculated (deaths divided by the average, i.e. mid-year, population). To overcome this limitation, we calculated standardised mortality ratios (SMR), comparing observed deaths to expected deaths derived by applying national age-specific mortality rates to local population age structures. We validated this approach, examined its properties, and used it to investigate local mortality patterns across Italy. Our findings highlight limited territorial heterogeneity in SMR, although with a slight increase over time: the coefficient of variation rose from 12.5% to 15%. The between-region variance component also increased, while the within-region component remained predominant, accounting for approximately 80% of the total variance. Selected ecological factors, particularly an Istat-developed frailty index for municipalities, were found to correlate with small-scale mortality patterns. Global spatial regression models (spatial autoregressive—SAR and spatial error—SEM) further revealed strong spillover effects influencing local mortality.

GenusVol. 82(1)
University of Sassari (IT), University of Florence (IT), University of Naples Federico II (IT)
European Commission
Good health and well-being
Openalex Percentile: Top 48%
Spatial and Panel Data Analysis
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