Las Berlanas

City in Ávila, Spain

Overview

Las Berlanas is a tiny, tranquil village in the province of Ávila, Spain, known for its rustic charm, friendly locals, and picturesque rural surroundings. The village is ideal for slow travelers looking to experience traditional Castilian life away from the bustle of tourist cities.

Geographic Context

Jurisdiction
Spain
Province
Ávila
Population
323
Time Zone
Europe/Madrid
Coordinates
40.80°, -4.76°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,192
Local Cost
$752
Local Income
$1,200
Cashless
45
English
25
Temperature
12.2°C
Summer Avg
21.6°C
Winter Avg
3.9°C
Record High
38.8°C
Record Low
-10.2°C
Humidity
66%
Precipitation
413 mm
Internet Speed
57 Mbps
Upload
74 Mbps
Latency
4 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
4
Walk Score
4
Footways
8.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 32 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.