Stazione-Fornola
City in Liguria, Italy
Overview
Stazione-Fornola is a charming small town in Liguria, Italy, blending traditional Ligurian life with peaceful residential neighborhoods. Centered around its train station, it offers pleasant local markets, cafes, and easy access to scenic countryside.
Geographic Context
Jurisdiction
Italy
Region
Liguria
Population
2,990
Time Zone
Europe/Rome
Coordinates
44.13°, 9.89°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,613
Local Cost
$980
Local Income
$1,400
Cashless
60
English
35
Temperature
14.6°C
Summer Avg
22.4°C
Winter Avg
7.5°C
Record High
33.3°C
Record Low
-4.5°C
Humidity
76%
Precipitation
814 mm
Internet Speed
48 Mbps
Upload
13 Mbps
Latency
13 ms
City Vibrancy
10
Coworking
0
Cafes
5
Nightlife
2
Parks
3
Transport
31
Walk Score
31
Footways
61.0
Airport
—
Distance
—
Explore
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.