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Cabezabellosa

City in Caceres, Spain

Overview

Cabezabellosa is a picturesque mountain village set in the north of Cáceres Province, Spain. Known for its breathtaking views over Valle del Jerte and its peaceful rural atmosphere, it is ideal for travelers seeking authentic Extremaduran charm away from the crowds.

Geographic Context

Jurisdiction
Spain
Province
Caceres
Population
335
Time Zone
Europe/Madrid
Coordinates
40.14°, -6.00°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$963
Local Cost
$638
Local Income
$1,150
Cashless
35
English
15
Temperature
15.7°C
Summer Avg
26.0°C
Winter Avg
6.7°C
Record High
44.9°C
Record Low
-5.2°C
Humidity
63%
Precipitation
590 mm
Internet Speed
23 Mbps
Upload
9 Mbps
Latency
39 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
2
Parks
1
Transport
5
Walk Score
5
Footways
9.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 5 tests. Record updated 2025-12-06.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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