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Monastero Bormida
City in Piedmont, Italy
Overview
Monastero Bormida is a charming village in Piedmont, Italy, steeped in history and surrounded by lush vineyards. With its medieval castle, tranquil streets, and panoramic landscapes, the town offers visitors an authentic slice of rural Italian life.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
861
Time Zone
Europe/Rome
Coordinates
44.65°, 8.33°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$1,350
Local Cost
$932
Local Income
$1,350
Cashless
40
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
25 Mbps
Upload
3 Mbps
Latency
20 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
7
Walk Score
7
Footways
13.0
Airport
GOA
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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