Ponteranica
City in Lombardy, Italy
Overview
Ponteranica is a small town set among the lush hills of Lombardy, just northwest of Bergamo. Known for its peaceful vibe, easy access to nature, and local cultural traditions, it combines rural charm with the convenience of being close to a major city.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
6,675
Time Zone
Europe/Rome
Coordinates
45.73°, 9.65°
Key Metrics
Safety Score · estimate
87
Female Safety
80
LGBTQ+ Safety
68
Traffic Safety
83
Food Safety
96
Monthly Cost · estimate
$1,777
Local Cost
$1,126
Local Income
$1,600
Cashless
55
English
38
Temperature
13.3°C
Summer Avg
23.2°C
Winter Avg
3.6°C
Record High
38.5°C
Record Low
-12.1°C
Humidity
73%
Precipitation
984 mm
Internet Speed
113 Mbps
Upload
53 Mbps
Latency
13 ms
City Vibrancy
30
Coworking
0
Cafes
2
Nightlife
16
Parks
12
Transport
60
Walk Score
60
Footways
119.0
Airport
BGY
Distance
7 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.