Size distribution of all italian cities

By revisiting well-established empirical regularities, this paper examines the distributional properties of city sizes in Italy over the period 2001–2024. Three main findings emerge. First, when considering the full population of approximately 7,900 municipalities, city sizes are well approximated by a lognormal distribution. Second, consistent with Gibrat’s law, city population growth rates appear to be independent of initial city size. Third, the upper tail of the distribution follows Zipf’s law, although the results are sensitive to the choice of the truncation threshold. The implications of these findings are discussed in relation to urban dynamics and the organization of the Italian urban system.

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Publication Details

Journal
IRIS Research product catalog (Sapienza University of Rome)
Published
2025-12-07
DOI
https://doi.org/10.13133/2611-6634/1865
Primary Topic
Regional Economics and Spatial Analysis
Type
article
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article

Size distribution of all italian cities

Marianna Belloc
IRIS Research product catalog (Sapienza University of Rome)
Regional Economics and Spatial Analysis
article

Size distribution of all italian cities

Marianna Belloc
article en

Abstract

By revisiting well-established empirical regularities, this paper examines the distributional properties of city sizes in Italy over the period 2001–2024. Three main findings emerge. First, when considering the full population of approximately 7,900 municipalities, city sizes are well approximated by a lognormal distribution. Second, consistent with Gibrat’s law, city population growth rates appear to be independent of initial city size. Third, the upper tail of the distribution follows Zipf’s law, although the results are sensitive to the choice of the truncation threshold. The implications of these findings are discussed in relation to urban dynamics and the organization of the Italian urban system.

IRIS Research product catalog (Sapienza University of Rome)
Sustainable cities and communities
Openalex Percentile: Top 12%
Regional Economics and Spatial Analysis
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