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Gorle
City in Lombardy, Italy
Overview
Gorle is a tranquil town in Lombardy, just northeast of Bergamo. It combines quiet residential charm with easy access to nature and the energy of nearby cities, making it ideal for families and those seeking a slower pace of life.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
6,578
Time Zone
Europe/Rome
Coordinates
45.70°, 9.71°
Key Metrics
Safety Score · estimate
86
Female Safety
82
LGBTQ+ Safety
78
Traffic Safety
72
Food Safety
94
Monthly Cost · estimate
$2,152
Local Cost
$1,360
Local Income
$1,700
Cashless
67
English
54
Temperature
13.7°C
Summer Avg
23.8°C
Winter Avg
3.9°C
Record High
40.0°C
Record Low
-9.7°C
Humidity
71%
Precipitation
918 mm
Internet Speed
225 Mbps
Upload
178 Mbps
Latency
9 ms
City Vibrancy
103
Coworking
0
Cafes
9
Nightlife
26
Parks
68
Transport
100
Walk Score
100
Footways
266.0
Airport
BGY
Distance
3 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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