Muntanyola
City in Barcelona, Spain
Overview
Muntanyola is a small, peaceful village set in the hills northwest of Barcelona. Renowned for its lush forests, stone architecture, and welcoming local community, it's perfect for travelers seeking relaxation and nature. The village offers serene surroundings and authentic Catalan life.
Geographic Context
Jurisdiction
Spain
Province
Barcelona
Population
712
Time Zone
Europe/Madrid
Coordinates
41.44°, 2.15°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,582
Local Cost
$1,000
Local Income
$1,750
Cashless
70
English
35
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
212 Mbps
Upload
202 Mbps
Latency
5 ms
City Vibrancy
118
Coworking
0
Cafes
27
Nightlife
47
Parks
44
Transport
100
Walk Score
100
Footways
1218.0
Airport
BCN
Distance
17 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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 2026-03-23.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.