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Arcidosso
City in Tuscany, Italy
Overview
Arcidosso is a charming medieval town set in the foothills of Monte Amiata in southern Tuscany. Known for its historic castle, winding alleys, and authentic local cuisine, it offers visitors a genuine taste of rural Italian life away from major tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
4,165
Time Zone
Europe/Rome
Coordinates
42.87°, 11.54°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
68
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,582
Local Cost
$942
Local Income
$1,100
Cashless
35
English
30
Temperature
14.5°C
Summer Avg
23.8°C
Winter Avg
6.0°C
Record High
39.7°C
Record Low
-8.4°C
Humidity
74%
Precipitation
706 mm
Internet Speed
111 Mbps
Upload
53 Mbps
Latency
25 ms
City Vibrancy
8
Coworking
0
Cafes
2
Nightlife
3
Parks
3
Transport
11
Walk Score
11
Footways
21.0
Airport
GRS
Distance
40 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 2025-12-07.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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