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Garganta la Olla

City in Caceres, Spain

Overview

Garganta la Olla is a charming mountain village set in the foothills of the Sierra de Gredos. Known for its spectacular natural surroundings, traditional architecture, and tranquil atmosphere, it's favored for nature escapes and rural tourism.

Geographic Context

Jurisdiction
Spain
Province
Caceres
Population
883
Time Zone
Europe/Madrid
Coordinates
40.11°, -5.78°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,210
Local Cost
$800
Local Income
$1,050
Cashless
35
English
20
Temperature
15.7°C
Summer Avg
26.3°C
Winter Avg
6.5°C
Record High
44.7°C
Record Low
-5.3°C
Humidity
60%
Precipitation
435 mm
Internet Speed
29 Mbps
Upload
18 Mbps
Latency
13 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
4
Parks
1
Transport
15
Walk Score
15
Footways
29.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 5 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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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