Premià de Dalt
City in Barcelona, Spain
Overview
Premià de Dalt is a picturesque town on the hillside overlooking the Mediterranean, blending medieval charm and modern amenities. This peaceful suburb of Barcelona is known for its historic center, green spaces, and proximity to the coast, making it ideal for family living and relaxed getaways.
Geographic Context
Jurisdiction
Spain
Province
Barcelona
Population
10,594
Time Zone
Europe/Madrid
Coordinates
41.50°, 2.35°
Key Metrics
Safety Score
89
Female Safety
84
LGBTQ+ Safety
88
Traffic Safety
86
Food Safety
98
Monthly Cost
$2,058
Local Cost
$1,362
Local Income
$1,650
Cashless
70
English
55
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
265 Mbps
Upload
174 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
32
Walk Score
32
Footways
64.0
Airport
BCN
Distance
32 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 1 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 8 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
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 - 1 source-backed neighborhood entities are available for this city. Updated 2026-03-25.
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 76/100.