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Sant Julià de Cerdanyola

City in Barcelona, Spain

Overview

Sant Julià de Cerdanyola is a quaint mountain village in the province of Barcelona, set in the foothills of the Pyrenees. Known for its serene setting, traditional Catalan stone homes, and sweeping valley views, it's an ideal retreat for nature lovers and those seeking tranquility.

Geographic Context

Jurisdiction
Spain
Province
Barcelona
Population
232
Time Zone
Europe/Madrid
Coordinates
42.22°, 1.89°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$1,470
Local Cost
$992
Local Income
$1,450
Cashless
55
English
40
Temperature
12.6°C
Summer Avg
21.7°C
Winter Avg
4.3°C
Record High
37.8°C
Record Low
-10.5°C
Humidity
66%
Precipitation
553 mm
Internet Speed
350 Mbps
Upload
337 Mbps
Latency
11 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
2
Parks
2
Transport
2
Walk Score
2
Footways
3.0
Airport
LEU
Distance
42 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 28 tests. Record updated 2025-12-05.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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