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Aldeadávila de la Ribera

City in Salamanca, Spain

Overview

Aldeadávila de la Ribera is a quaint village in Salamanca's Arribes del Duero Natural Park, famed for dramatic river canyons, traditional charm, and peaceful ambiance. Visitors enjoy nature, classic Spanish plazas, and local hospitality.

Geographic Context

Jurisdiction
Spain
Province
Salamanca
Population
1,120
Time Zone
Europe/Madrid
Coordinates
41.22°, -6.62°

Key Metrics

Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,300
Local Cost
$750
Local Income
$1,150
Cashless
35
English
30
Temperature
13.5°C
Summer Avg
22.6°C
Winter Avg
5.4°C
Record High
41.6°C
Record Low
-5.8°C
Humidity
71%
Precipitation
902 mm
Internet Speed
251 Mbps
Upload
280 Mbps
Latency
19 ms
City Vibrancy
13
Coworking
0
Cafes
3
Nightlife
7
Parks
3
Transport
27
Walk Score
27
Footways
54.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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