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Trinità d'Agultu
City in Sardinia, Italy
Overview
Trinità d'Agultu is a picturesque town in northern Sardinia, Italy. It is known for its stunning beaches, dramatic coastal landscapes, and authentic Sardinian culture, making it a charming off-the-beaten-path destination for travelers.
Geographic Context
Jurisdiction
Italy
Autonomous Region
Sardinia
Population
—
Time Zone
Europe/Rome
Coordinates
40.99°, 8.91°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
93
Monthly Cost · estimate
$1,735
Local Cost
$1,100
Local Income
$1,100
Cashless
55
English
45
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
69 Mbps
Upload
15 Mbps
Latency
34 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 2025-12-09.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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