Tagamanent

City in Barcelona, Spain

Overview

Tagamanent is a tranquil village set in the Montseny mountains, known for its natural beauty and Catalan rural charm. With fewer than 350 inhabitants, it offers a peaceful escape just an hour from Barcelona. Highlights include hiking, scenic views, and authentic local cuisine.

Geographic Context

Jurisdiction
Spain
Province
Barcelona
Population
339
Time Zone
Europe/Madrid
Coordinates
41.74°, 2.27°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,655
Local Cost
$1,100
Local Income
$1,350
Cashless
35
English
35
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
12 Mbps
Upload
7 Mbps
Latency
50 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
GRO
Distance
45 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-05.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.