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Tella-Sin

City in Huesca, Spain

Overview

Tella-Sin is a charming mountain village set in the Aragonese Pyrenees, renowned for its dramatic landscapes and medieval architecture. Its tranquil atmosphere and proximity to the Ordesa and Monte Perdido National Park make it a haven for nature lovers and hikers.

Geographic Context

Jurisdiction
Spain
Province
Huesca
Population
217
Time Zone
Europe/Madrid
Coordinates
42.57°, 0.18°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$1,515
Local Cost
$1,010
Local Income
$1,200
Cashless
30
English
30
Temperature
8.6°C
Summer Avg
17.2°C
Winter Avg
0.8°C
Record High
32.7°C
Record Low
-15.8°C
Humidity
72%
Precipitation
658 mm
Internet Speed
28 Mbps
Upload
3 Mbps
Latency
30 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. 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 2026-03-23.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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