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Celat-San Tomaso Agordino
City in Veneto, Italy
Overview
Celat-San Tomaso Agordino is a peaceful mountain village in the Veneto region, set between the Dolomite peaks and lush valleys. It offers an authentic experience of rural Italian life, with traditional architecture, friendly locals, and excellent outdoor activities.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
—
Time Zone
Europe/Rome
Coordinates
46.38°, 11.97°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,650
Local Cost
$1,022
Local Income
$1,300
Cashless
50
English
45
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
BLX
Distance
32 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 2025-12-09.
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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