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Vidigulfo
City in Lombardy, Italy
Overview
Vidigulfo is a peaceful Lombardy town south of Milan, known for its family-friendly atmosphere and traditional Italian village charm. While small in size, it offers authentic local culture, picturesque scenery, and easy rail links to the city.
Geographic Context
Jurisdiction
Italy
Region
Lombardy
Population
6,704
Time Zone
Europe/Rome
Coordinates
45.29°, 9.23°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,790
Local Cost
$1,130
Local Income
$1,400
Cashless
65
English
35
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
43 Mbps
Upload
11 Mbps
Latency
13 ms
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
4
Parks
2
Transport
7
Walk Score
7
Footways
13.0
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 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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