Artogne
City in Lombardy, Italy
Overview
Artogne is a picturesque village set in the Camonica Valley in Lombardy, Italy. Known for its charming historic center, proximity to the Alps, and welcoming local community, it's an ideal base for exploring both culture and nature.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
3,568
Time Zone
Europe/Rome
Coordinates
45.85°, 10.17°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,642
Local Cost
$1,020
Local Income
$1,500
Cashless
60
English
40
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
Internet Speed
211 Mbps
Upload
92 Mbps
Latency
11 ms
City Vibrancy
9
Coworking
0
Cafes
1
Nightlife
5
Parks
3
Transport
8
Walk Score
8
Footways
16.0
Airport
BGY
Distance
41 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.