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Villar del Cobo

City in Teruel, Spain

Overview

Villar del Cobo is a quaint rural village set in the province of Teruel, Aragon, Spain. Known for its peaceful atmosphere, traditional architecture, and proximity to natural parks, it's ideal for those seeking authentic rural Spanish life.

Geographic Context

Jurisdiction
Spain
Province
Teruel
Population
162
Time Zone
Europe/Madrid
Coordinates
40.39°, -1.67°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$1,050
Local Cost
$620
Local Income
$1,100
Cashless
25
English
10
Temperature
10.5°C
Summer Avg
20.1°C
Winter Avg
2.2°C
Record High
36.7°C
Record Low
-13.8°C
Humidity
66%
Precipitation
391 mm
Internet Speed
13 Mbps
Upload
66 Mbps
Latency
22 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TEV
Distance
38 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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