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Merso di Sopra
City in Friuli–Venezia Giulia, Italy
Overview
Merso di Sopra is a tiny village set in the scenic hills of Friuli-Venezia Giulia, Italy. Known for its peaceful atmosphere and picturesque settings, the community offers an authentic rural Italian experience with close connections to nature and local traditions.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Friuli–Venezia Giulia
Population
380
Time Zone
Europe/Rome
Coordinates
46.12°, 13.53°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,512
Local Cost
$980
Local Income
$1,200
Cashless
50
English
35
Temperature
10.5°C
Summer Avg
20.4°C
Winter Avg
0.9°C
Record High
35.9°C
Record Low
-18.9°C
Humidity
79%
Precipitation
1094 mm
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
TRS
Distance
33 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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