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Comano
City in Tuscany, Italy
Overview
Comano is a charming village set in the Tuscan countryside, celebrated for its medieval history, scenic landscapes, and authentic local culture. With a small population, tranquility and nature abound, making it ideal for those seeking a relaxing rural escape.
Geographic Context
Jurisdiction
Italy
Region
Tuscany
Population
667
Time Zone
Europe/Rome
Coordinates
44.29°, 10.13°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,415
Local Cost
$960
Local Income
$1,100
Cashless
40
English
25
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
12 Mbps
Upload
3 Mbps
Latency
28 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
2
Walk Score
2
Footways
3.0
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 2026-03-23.
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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