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Prato Carnico
City in Friuli–Venezia Giulia, Italy
Overview
Prato Carnico is a small mountain village in Friuli-Venezia Giulia, renowned for its tranquil alpine setting, traditional architecture, and close-knit community life. The town offers scenic views, authentic rural culture, and is a gateway to outdoor adventures in the Carnic Alps.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Friuli–Venezia Giulia
Population
843
Time Zone
Europe/Rome
Coordinates
46.52°, 12.81°
Key Metrics
Safety Score · estimate
95
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,522
Local Cost
$960
Local Income
$1,300
Cashless
35
English
30
Temperature
5.0°C
Summer Avg
14.6°C
Winter Avg
-4.8°C
Record High
30.4°C
Record Low
-25.9°C
Humidity
82%
Precipitation
1191 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
—
Distance
—
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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