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Galgagnano
City in Lombardy, Italy
Overview
Galgagnano is a quiet Italian village in Lombardy, known for its friendly residents, relaxed pace, and scenic agricultural surroundings. With a population just over 1,300, it offers an authentic small-town experience close to the Po Valley.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
1,322
Time Zone
Europe/Rome
Coordinates
45.36°, 9.45°
Key Metrics
Safety Score · estimate
81
Female Safety
77
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
94
Monthly Cost · estimate
$1,762
Local Cost
$1,088
Local Income
$1,450
Cashless
47
English
40
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
361 Mbps
Upload
176 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
22
Walk Score
22
Footways
44.0
Airport
LIN
Distance
17 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 2026-03-22.
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.
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