Fornaci di Barga
City in Tuscany, Italy
Overview
Fornaci di Barga is a small Tuscan town known for its local ceramics, friendly atmosphere, and picturesque surroundings in the Serchio Valley. It offers an authentic Italian experience away from tourist crowds, with easy access to hilltop villages and nature trails.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
2,357
Time Zone
Europe/Rome
Coordinates
44.05°, 10.47°
Key Metrics
Safety Score · estimate
80
Female Safety
78
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
93
Monthly Cost · estimate
$1,705
Local Cost
$1,050
Local Income
$1,450
Cashless
50
English
45
Temperature
12.4°C
Summer Avg
21.6°C
Winter Avg
3.8°C
Record High
36.5°C
Record Low
-11.4°C
Humidity
77%
Precipitation
765 mm
Internet Speed
34 Mbps
Upload
13 Mbps
Latency
20 ms
City Vibrancy
12
Coworking
0
Cafes
5
Nightlife
7
Parks
0
Transport
34
Walk Score
34
Footways
68.0
Airport
PSA
Distance
41 km
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 2025-12-08.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.