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Bussoleno
City in Piedmont, Italy
Overview
Set in the Susa Valley, Bussoleno is a small Italian town known for its scenic mountain backdrop, historic cobblestone center, and lively local traditions. It offers authentic Piedmontese food, excellent hiking trails, and a friendly, welcoming atmosphere.
Geographic Context
Jurisdiction
Italy
Region
Piedmont
Population
5,608
Time Zone
Europe/Rome
Coordinates
45.14°, 7.14°
Key Metrics
Safety Score · estimate
80
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,603
Local Cost
$1,004
Local Income
$1,350
Cashless
55
English
35
Temperature
2.7°C
Summer Avg
12.4°C
Winter Avg
-7.2°C
Record High
27.0°C
Record Low
-26.7°C
Humidity
77%
Precipitation
765 mm
Internet Speed
163 Mbps
Upload
28 Mbps
Latency
18 ms
City Vibrancy
8
Coworking
0
Cafes
3
Nightlife
4
Parks
1
Transport
50
Walk Score
50
Footways
99.0
Airport
TRN
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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