Bagnone
City in Tuscany, Italy
Overview
Bagnone is a picturesque Tuscan town set in the Lunigiana hills, renowned for its medieval architecture and tranquil river landscapes. With a close-knit community and scenic countryside, it's ideal for slow travel and authentic Italian life.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
1,676
Time Zone
Europe/Rome
Coordinates
44.31°, 10.00°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
70
Food Safety
95
Monthly Cost · estimate
$1,852
Local Cost
$1,140
Local Income
$1,350
Cashless
45
English
30
Temperature
12.3°C
Summer Avg
22.2°C
Winter Avg
3.1°C
Record High
38.4°C
Record Low
-12.3°C
Humidity
76%
Precipitation
786 mm
Internet Speed
134 Mbps
Upload
19 Mbps
Latency
19 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
25
Walk Score
25
Footways
50.0
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 2025-12-08.
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.