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Coll d'en Rabassa
City in Islas Baleares, Spain
Overview
Coll d'en Rabassa is a lively coastal district forming part of Palma, Mallorca, popular for its laid-back beach lifestyle and close proximity to the city center and airport. With a blend of local atmosphere and tourist activity, it offers charming promenades, waterfront cafes, and a relaxed Mediterranean vibe.
Geographic Context
Jurisdiction
Spain
Province
Islas Baleares
Population
—
Time Zone
Europe/Madrid
Coordinates
39.55°, 2.69°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$2,220
Local Cost
$1,482
Local Income
$1,650
Cashless
75
English
60
Temperature
18.7°C
Summer Avg
25.1°C
Winter Avg
13.1°C
Record High
34.3°C
Record Low
5.2°C
Humidity
74%
Precipitation
512 mm
Internet Speed
295 Mbps
Upload
236 Mbps
Latency
9 ms
City Vibrancy
52
Coworking
0
Cafes
22
Nightlife
6
Parks
24
Transport
63
Walk Score
63
Footways
126.0
Airport
PMI
Distance
4 km
Explore
Data sources
Source-backed data
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 2026-03-21.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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