San Possidonio

City in Emilia-Romagna, Italy

Overview

San Possidonio is a small town set in the agricultural heart of Emilia-Romagna, characterized by its peaceful streets, historic architecture, and warm community spirit. Visitors can expect authentic Italian hospitality and a slower pace of life ideal for relaxation.

Geographic Context

Jurisdiction
Italy
Region
Emilia-Romagna
Population
3,483
Time Zone
Europe/Rome
Coordinates
44.87°, 10.98°

Key Metrics

Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
63
Traffic Safety
80
Food Safety
94
Monthly Cost · estimate
$1,820
Local Cost
$1,003
Local Income
$1,600
Cashless
58
English
38
Temperature
14.6°C
Summer Avg
25.5°C
Winter Avg
4.3°C
Record High
42.2°C
Record Low
-7.9°C
Humidity
72%
Precipitation
725 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
BLQ
Distance
45 km

Data sources

Source-backed data

World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.

Estimates and unverified origins

Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.