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Visco
City in Friuli–Venezia Giulia, Italy
Overview
Visco is a small town in Friuli-Venezia Giulia known for its peaceful countryside, charming historical core, and authentic Italian hospitality. Surrounded by vineyards and farmland, it offers a taste of rural Italy within easy reach of larger cities.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Friuli–Venezia Giulia
Population
827
Time Zone
Europe/Rome
Coordinates
45.89°, 13.35°
Key Metrics
Safety Score · estimate
87
Female Safety
82
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,620
Local Cost
$960
Local Income
$1,430
Cashless
55
English
45
Temperature
12.4°C
Summer Avg
22.4°C
Winter Avg
2.7°C
Record High
37.0°C
Record Low
-11.7°C
Humidity
75%
Precipitation
1073 mm
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
2
Parks
1
Transport
6
Walk Score
6
Footways
12.0
Airport
TRS
Distance
12 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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