Sant Cugat del Vallès
City in Barcelona, Spain
Overview
Sant Cugat del Vallès is a scenic, well-kept city just northwest of Barcelona, renowned for its historic monastery, lush parks, and relaxed atmosphere. With a lively cultural scene, great schools, and easy train access to Barcelona, it offers an appealing blend of urban living and natural beauty.
Geographic Context
Jurisdiction
Spain
Province
Barcelona
Population
98,621
Time Zone
Europe/Madrid
Coordinates
41.47°, 2.09°
Key Metrics
Safety Score
89
Female Safety
88
LGBTQ+ Safety
87
Traffic Safety
92
Food Safety
97
Monthly Cost
$2,310
Local Cost
$1,610
Local Income
$2,200
Cashless
87
English
68
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
225 Mbps
Upload
192 Mbps
Latency
6 ms
City Vibrancy
117
Coworking
0
Cafes
41
Nightlife
14
Parks
62
Transport
0
Walk Score
0
Footways
—
Airport
BCN
Distance
19 km
Explore
Neighborhoods
PartialCoverage is incomplete — additional neighborhoods are being added as more source data is processed.
Coverage is incomplete — more neighborhoods are being added.
View all 3 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 - 3 source-backed neighborhood entities are available for this city. Updated 2026-03-21.
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 93/100.