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Madroñera

City in Caceres, Spain

Overview

Madroñera is a picturesque village in Cáceres, Spain, known for its charming historic center, friendly locals, and proximity to stunning Extremadura countryside. It offers an authentic rural Spanish experience with cultural heritage and natural beauty.

Geographic Context

Jurisdiction
Spain
Province
Caceres
Population
2,364
Time Zone
Europe/Madrid
Coordinates
39.43°, -5.76°

Key Metrics

Safety Score · estimate
92
Female Safety
83
LGBTQ+ Safety
75
Traffic Safety
87
Food Safety
95
Monthly Cost · estimate
$1,258
Local Cost
$835
Local Income
$1,100
Cashless
40
English
28
Temperature
15.4°C
Summer Avg
25.6°C
Winter Avg
6.4°C
Record High
43.8°C
Record Low
-5.8°C
Humidity
63%
Precipitation
450 mm
Internet Speed
539 Mbps
Upload
493 Mbps
Latency
19 ms
City Vibrancy
8
Coworking
0
Cafes
0
Nightlife
7
Parks
1
Transport
10
Walk Score
10
Footways
19.0
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 2025-12-08.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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