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Fontana delle Monache
City in Tuscany, Italy
Overview
Fontana delle Monache is a tiny, picturesque Tuscan village with cobblestone lanes, historic charm, and welcoming locals. Its tranquil atmosphere and beautiful countryside make it a perfect retreat for those seeking authenticity away from tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
266
Time Zone
Europe/Rome
Coordinates
44.11°, 10.28°
Key Metrics
Safety Score · estimate
82
Female Safety
70
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$1,550
Local Cost
$1,040
Local Income
$1,200
Cashless
35
English
28
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
70 Mbps
Upload
13 Mbps
Latency
10 ms
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
2
Parks
0
Transport
12
Walk Score
12
Footways
23.0
Airport
PSA
Distance
49 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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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