Roncobello
City in Lombardy, Italy
Overview
Roncobello is a tranquil mountain village set in Lombardy's scenic Valle Brembana, famed for its lush meadows, stone houses, and slow pace of life. With fewer than 500 residents, it offers an authentic Italian alpine experience surrounded by forests and hiking trails.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
434
Time Zone
Europe/Rome
Coordinates
45.96°, 9.75°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,579
Local Cost
$1,060
Local Income
$1,200
Cashless
45
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
Internet Speed
22 Mbps
Upload
2 Mbps
Latency
24 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
1
Parks
2
Transport
1
Walk Score
1
Footways
2.0
Airport
BGY
Distance
31 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.