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Viladecavalls
City in Barcelona, Spain
Overview
Viladecavalls is a peaceful, small town located in the province of Barcelona, known for its relaxed atmosphere, green landscapes, and close-knit community. It provides a perfect base for those looking to explore the Catalonian countryside while being a short drive away from larger urban centers.
Geographic Context
Jurisdiction
Spain
Province
Barcelona
Population
7,802
Time Zone
Europe/Madrid
Coordinates
41.45°, 2.18°
Key Metrics
Safety Score · estimate
92
Female Safety
89
LGBTQ+ Safety
88
Traffic Safety
87
Food Safety
97
Monthly Cost · estimate
$1,925
Local Cost
$1,220
Local Income
$1,550
Cashless
80
English
53
Temperature
15.5°C
Summer Avg
23.8°C
Winter Avg
7.9°C
Record High
38.2°C
Record Low
-4.4°C
Humidity
70%
Precipitation
519 mm
Internet Speed
401 Mbps
Upload
418 Mbps
Latency
4 ms
City Vibrancy
104
Coworking
1
Cafes
12
Nightlife
22
Parks
69
Transport
100
Walk Score
100
Footways
1728.0
Airport
BCN
Distance
19 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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