Cerdanyola del Vallès
City in Barcelona, Spain
Overview
Cerdanyola del Vallès is a lively suburban city just north of Barcelona, known for its welcoming atmosphere, historic sites, and connection with the Autonomous University of Barcelona. The city's blend of green areas, lively local culture, and convenient transport links make it ideal for families, students, and visitors seeking a more relaxed pace near Barcelona.
Geographic Context
Jurisdiction
Spain
Province
Barcelona
Population
58,100
Time Zone
Europe/Madrid
Coordinates
41.49°, 2.14°
Key Metrics
Safety Score
78
Female Safety
76
LGBTQ+ Safety
82
Traffic Safety
72
Food Safety
94
Monthly Cost
$2,094
Local Cost
$1,320
Local Income
$1,900
Cashless
82
English
60
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
289 Mbps
Upload
275 Mbps
Latency
6 ms
City Vibrancy
270
Coworking
0
Cafes
28
Nightlife
82
Parks
160
Transport
0
Walk Score
0
Footways
—
Airport
BCN
Distance
22 km
Explore
Neighborhoods
Mapped9 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 9 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 51 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 9 source-backed neighborhood entities are available for this city. Updated 2026-04-04.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 78/100.