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Sant Llorenç Savall
City in Barcelona, Spain
Overview
Sant Llorenç Savall is a tranquil village set in the hills of the Barcelona region, known for its beautiful natural surroundings and traditional Catalan charm. With a population of around 2,500, it offers a peaceful atmosphere, close proximity to nature parks, and a taste of authentic rural life.
Geographic Context
Jurisdiction
Spain
Province
Barcelona
Population
2,586
Time Zone
Europe/Madrid
Coordinates
41.68°, 2.06°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$1,570
Local Cost
$1,008
Local Income
$1,500
Cashless
60
English
50
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
334 Mbps
Upload
343 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
16
Walk Score
16
Footways
32.0
Airport
BCN
Distance
43 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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