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Sant Pol de Mar
City in Barcelona, Spain
Overview
Sant Pol de Mar is a charming seaside town on the Maresme coast, known for its pristine beaches, white Mediterranean houses, and relaxed Catalan atmosphere. Renowned for its slow pace, fresh seafood, and picturesque old town, this small city offers a peaceful escape just an hour from Barcelona.
Geographic Context
Jurisdiction
Spain
Province
Barcelona
Population
5,834
Time Zone
Europe/Madrid
Coordinates
41.60°, 2.62°
Key Metrics
Safety Score · estimate
90
Female Safety
86
LGBTQ+ Safety
83
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,935
Local Cost
$1,230
Local Income
$1,700
Cashless
72
English
52
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
387 Mbps
Upload
358 Mbps
Latency
6 ms
City Vibrancy
11
Coworking
0
Cafes
2
Nightlife
5
Parks
4
Transport
100
Walk Score
100
Footways
226.0
Airport
GRO
Distance
36 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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