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Vallada Agordina
City in Veneto, Italy
Overview
Vallada Agordina is a quiet Alpine village set among the Dolomite mountains of Veneto, perfect for nature lovers and those seeking authentic rural Italy. With just over 500 residents, it offers stunning views, local traditions, and direct access to hiking trails.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
556
Time Zone
Europe/Rome
Coordinates
46.36°, 11.93°
Key Metrics
Safety Score · estimate
87
Female Safety
80
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,315
Local Cost
$870
Local Income
$1,200
Cashless
35
English
30
Temperature
3.9°C
Summer Avg
13.4°C
Winter Avg
-6.1°C
Record High
33.4°C
Record Low
-31.1°C
Humidity
83%
Precipitation
1062 mm
Internet Speed
155 Mbps
Upload
18 Mbps
Latency
72 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
2
Parks
1
Transport
3
Walk Score
3
Footways
5.0
Airport
BLX
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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