Vidrà
City in Girona, Spain
Overview
Vidrà is a tranquil mountain village in the Pre-Pyrenees of Girona, known for its stunning natural surroundings and rural charm. With just over 150 residents, it offers a peaceful escape from urban life and access to scenic hiking routes. Vidrà is perfect for travelers looking for authentic local culture, traditional cuisine, and outdoor adventures.
Geographic Context
Jurisdiction
Spain
Province
Girona
Population
169
Time Zone
Europe/Madrid
Coordinates
42.12°, 2.31°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
97
Food Safety
95
Monthly Cost · estimate
$1,295
Local Cost
$920
Local Income
$1,100
Cashless
40
English
30
Temperature
13.5°C
Summer Avg
22.1°C
Winter Avg
5.7°C
Record High
39.5°C
Record Low
-9.4°C
Humidity
69%
Precipitation
579 mm
Internet Speed
258 Mbps
Upload
272 Mbps
Latency
53 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
11.0
Airport
GRO
Distance
44 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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.