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Mas de las Matas

City in Teruel, Spain

Overview

Mas de las Matas is a small and scenic town in Teruel, Aragon, known for its rich history, traditional Spanish atmosphere, and friendly community. The town is surrounded by rolling hills, olive groves, and offers a peaceful escape from city crowds.

Geographic Context

Jurisdiction
Spain
Province
Teruel
Population
1,225
Time Zone
Europe/Madrid
Coordinates
40.83°, -0.24°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,318
Local Cost
$762
Local Income
$1,100
Cashless
50
English
30
Temperature
14.6°C
Summer Avg
23.9°C
Winter Avg
6.3°C
Record High
42.5°C
Record Low
-7.4°C
Humidity
65%
Precipitation
423 mm
Internet Speed
172 Mbps
Upload
150 Mbps
Latency
35 ms
City Vibrancy
7
Coworking
0
Cafes
0
Nightlife
7
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 7 tests. 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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