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Sant Cebrià de Vallalta
City in Barcelona, Spain
Overview
Sant Cebrià de Vallalta is a picturesque Catalan village tucked between the mountains and the Mediterranean, offering a tranquil escape just a short drive from Barcelona. Known for its natural beauty, hiking opportunities, and authentic local atmosphere, it's ideal for visitors seeking relaxation away from Spain's busy tourist hubs.
Geographic Context
Jurisdiction
Spain
Province
Barcelona
Population
3,828
Time Zone
Europe/Madrid
Coordinates
41.62°, 2.60°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
82
Traffic Safety
78
Food Safety
95
Monthly Cost · estimate
$1,751
Local Cost
$1,220
Local Income
$1,350
Cashless
65
English
30
Temperature
16.3°C
Summer Avg
23.3°C
Winter Avg
9.8°C
Record High
33.9°C
Record Low
-1.9°C
Humidity
74%
Precipitation
687 mm
Internet Speed
279 Mbps
Upload
327 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
28
Walk Score
28
Footways
56.0
Airport
GRO
Distance
35 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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