Prats de Lluçanès

City in Barcelona, Spain

Overview

Prats de Lluçanès is a picturesque Catalan town set in the Barcelona region, offering a tranquil rural atmosphere and rich local traditions. With its historic quarter and scenic surroundings, it's an ideal base for exploring the Lluçanès plateau.

Geographic Context

Jurisdiction
Spain
Province
Barcelona
Population
2,688
Time Zone
Europe/Madrid
Coordinates
42.01°, 2.03°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
72
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,580
Local Cost
$1,030
Local Income
$1,700
Cashless
60
English
40
Temperature
12.6°C
Summer Avg
21.7°C
Winter Avg
4.3°C
Record High
37.8°C
Record Low
-10.5°C
Humidity
66%
Precipitation
553 mm
Internet Speed
1 Mbps
Upload
21 Mbps
Latency
41 ms
City Vibrancy
10
Coworking
0
Cafes
3
Nightlife
5
Parks
2
Transport
31
Walk Score
31
Footways
62.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.