Evitalya/italian-municipalities-prices-risk

Evitalya open data — Italy

Two CC BY 4.0 datasets published by Evitalya, which scores any Italian address on 111 official metrics. Prepared 2026-09-19.

Try it without downloading anything: huggingface.co/spaces/Evitalya/italian-municipalities — type a municipality, read its figures. The page is static and embeddable.

1. Italian municipalities 2026: house prices, rents, landslide and flood exposure, seismic zone

One row per Italian municipality (comune), keyed on the six-digit ISTAT code, with the official figures a person needs before choosing where to live or buy: resident population, OMI average purchase price and rent per square metre with the reference semester, year-on-year price change, share of residents in landslide and flood hazard areas, and the seismic zone in force today (not the 2003 list). Sources are Italian public bodies: ISTAT (population, municipality mergers and renumbering), Agenzia delle Entrate OMI (prices and rents), ISPRA (landslide and flood exposure), DPC and INGV (seismic classification). Municipalities created after 2003 inherit the seismic zone of their predecessors; a missing value is left empty and never imputed as zero.

• Rows: 7,896 (one per municipality) — columns: 16
• File: data/comuni-italia-evitalya.csv — SHA-256 87a72eb30e80563b…
• Interactive map, one page per municipality: https://evitalya.com/it/mappa-comuni/

column	non-empty	share
codice_istat	7,896 of 7,896	100.0%
comune	7,896 of 7,896	100.0%
sigla_provincia	7,896 of 7,896	100.0%
provincia	7,896 of 7,896	100.0%
regione	7,896 of 7,896	100.0%
popolazione_2023	7,892 of 7,896	99.9%
prezzo_medio_acquisto_eur_m2	7,558 of 7,896	95.7%
affitto_medio_eur_m2_mese	7,064 of 7,896	89.5%
variazione_prezzi_2024_2025_pct	7,546 of 7,896	95.6%
residenti_area_rischio_frana_pct	7,337 of 7,896	92.9%
residenti_area_rischio_alluvione_pct	7,074 of 7,896	89.6%
zona_sismica_vigente	7,896 of 7,896	100.0%
zona_sismica_stringa_dpc	7,896 of 7,896	100.0%
zona_sismica_stimata	7,896 of 7,896	100.0%
semestre_omi	7,558 of 7,896	95.7%
pagina_evitalya	250 of 7,896	3.2%

2. Neighbourhood liveability scores for Italian cities

Liveability scores by neighbourhood (OMI zone) for Italian cities, on the same 111-metric catalogue used by Evitalya: environment, mobility, natural risk, real estate, safety and services. Each row carries how many metrics were actually measured for that zone and at which granularity (neighbourhood or municipality), so a score is never read without knowing what it is made of.

• Rows: 127 — columns: 22
• File: data/punteggi-quartieri.csv — SHA-256 b14f47c164534e25…
• Method and full source list: https://evitalya.com/dati.html

An empty cell means the source publishes nothing for that municipality. It is not a zero.

Reading the CSV: two traps

Both bite any consumer of this file, and neither is a flaw in the data.

# WRONG — loses 93 municipalities
df = pd.read_csv("comuni-italia-evitalya.csv")

# RIGHT
df = pd.read_csv("comuni-italia-evitalya.csv",
                 dtype={"codice_istat": str},   # keeps the leading zero: 001001
                 keep_default_na=False,         # "NA" is Napoli, "None" is a comune
                 na_values=[""])                # only a blank cell is missing

1. NA is the province of Napoli, not a missing value. With pandas' default missing-value list, all 92 municipalities of that province lose their province code.
2. None is a municipality in the province of Torino, 7,688 residents. With the defaults it reads as a row with no name.

The same applies to any tool that infers missing values from a fixed word list.

Licence and attribution

Creative Commons Attribution 4.0 International (CC BY 4.0). You may republish, transform and sell work based on these files, as long as you credit the source with a working link:

Data: <a href="https://evitalya.com">Evitalya</a>, CC BY 4.0

How to cite

Evitalya (2026). Italian municipalities 2026: house prices, rents, landslide and flood exposure, seismic zone. CC BY 4.0. https://evitalya.com/it/mappa-comuni/

@dataset{evitalya_comuni_2026,
  title     = {Italian municipalities 2026: house prices, rents, landslide and flood exposure, seismic zone},
  author    = {Evitalya},
  year      = {2026},
  url       = {https://evitalya.com/it/mappa-comuni/},
  note      = {Licence CC BY 4.0}
}

Sources

ISTAT · Agenzia delle Entrate (OMI) · ISPRA · Dipartimento della Protezione Civile · INGV · OpenStreetMap (ODbL) — full attribution: https://evitalya.com/attribution.html