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Trinità d'Agultu e Vignola
City in Sardinia, Italy
Overview
Trinità d'Agultu e Vignola is a scenic Sardinian town blending rugged coastlines, crystal-clear waters, and traditional village life. The area is known for its beautiful beaches, lively summer tourism, and authentic local culture.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Sardinia
Population
2,238
Time Zone
Europe/Rome
Coordinates
40.98°, 8.92°
Key Metrics
Safety Score · estimate
83
Female Safety
75
LGBTQ+ Safety
68
Traffic Safety
80
Food Safety
93
Monthly Cost · estimate
$1,829
Local Cost
$1,058
Local Income
$1,200
Cashless
38
English
42
Temperature
17.1°C
Summer Avg
23.7°C
Winter Avg
11.1°C
Record High
36.5°C
Record Low
2.3°C
Humidity
75%
Precipitation
571 mm
Internet Speed
19 Mbps
Upload
13 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
16.0
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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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