Albaredo
City in Lombardy, Italy
Overview
Albaredo is a charming mountain village in Lombardy, Italy, set in the heart of the Alps above Morbegno. With just over 100 residents, it offers stunning nature, serene hikes, and authentic Italian rural life ideal for slow travel and relaxation.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
112
Time Zone
Europe/Rome
Coordinates
46.10°, 9.59°
Key Metrics
Safety Score · estimate
92
Female Safety
82
LGBTQ+ Safety
60
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,360
Local Cost
$890
Local Income
$1,200
Cashless
50
English
20
Temperature
8.7°C
Summer Avg
18.2°C
Winter Avg
-1.1°C
Record High
34.5°C
Record Low
-22.6°C
Humidity
75%
Precipitation
1248 mm
Internet Speed
140 Mbps
Upload
23 Mbps
Latency
18 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
12.0
Airport
BGY
Distance
48 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 2025-12-09.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.