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San Michele Mondovì
City in Piedmont, Italy
Overview
San Michele Mondovì is a peaceful, traditional town set in the Piedmont hills of northwestern Italy. Known for its scenic landscapes, local culinary delights, and rich history, it offers a genuine Italian rural experience away from busy tourist crowds.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
1,803
Time Zone
Europe/Rome
Coordinates
44.38°, 7.91°
Key Metrics
Safety Score · estimate
80
Female Safety
70
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,400
Local Cost
$880
Local Income
$1,300
Cashless
55
English
35
Temperature
12.2°C
Summer Avg
22.5°C
Winter Avg
2.6°C
Record High
39.2°C
Record Low
-15.7°C
Humidity
72%
Precipitation
778 mm
Internet Speed
162 Mbps
Upload
24 Mbps
Latency
35 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
16.0
Airport
CUF
Distance
30 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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