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Pian Camuno

City in Lombardy, Italy

Overview

Pian Camuno is a charming small town set at the edge of the Italian Alps in Lombardy's Valle Camonica, renowned for its tranquil atmosphere and stunning mountain landscapes. Blending history with outdoor recreation, it offers a relaxing escape from city crowds for those seeking authentic village life.

Geographic Context

Jurisdiction
Italy
Region
Lombardy
Population
4,759
Time Zone
Europe/Rome
Coordinates
45.84°, 10.14°

Key Metrics

Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,732
Local Cost
$1,000
Local Income
$1,400
Cashless
60
English
35
Temperature
6.4°C
Summer Avg
15.6°C
Winter Avg
-2.9°C
Record High
31.3°C
Record Low
-22.9°C
Humidity
77%
Precipitation
1297 mm
City Vibrancy
15
Coworking
0
Cafes
4
Nightlife
8
Parks
3
Transport
24
Walk Score
24
Footways
47.0
Airport
BGY
Distance
39 km

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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