San Godenzo
City in Tuscany, Italy
Overview
San Godenzo is a charming medieval village at the edge of the Casentino Forests in northern Tuscany, Italy. Its unspoiled landscapes, rich historic sites, and access to nature make it perfect for hikers, history buffs, and those seeking authentic rural Tuscany.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
1,049
Time Zone
Europe/Rome
Coordinates
43.93°, 11.62°
Key Metrics
Safety Score · estimate
82
Female Safety
78
LGBTQ+ Safety
60
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,682
Local Cost
$1,030
Local Income
$1,150
Cashless
40
English
34
Temperature
12.6°C
Summer Avg
22.4°C
Winter Avg
3.6°C
Record High
39.6°C
Record Low
-12.1°C
Humidity
77%
Precipitation
742 mm
Internet Speed
32 Mbps
Upload
12 Mbps
Latency
11 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
2
Parks
1
Transport
7
Walk Score
7
Footways
13.0
Airport
FLR
Distance
36 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.