Vilallonga de Ter

City in Girona, Spain

Overview

Vilallonga de Ter is a picturesque mountain village in the Girona Pyrenees, known for its stone architecture, tranquil rural atmosphere, and stunning natural surroundings. With just under 400 residents, it offers an authentic Catalan experience far from urban crowds.

Geographic Context

Jurisdiction
Spain
Province
Girona
Population
395
Time Zone
Europe/Madrid
Coordinates
42.33°, 2.31°

Key Metrics

Safety Score · estimate
87
Female Safety
83
LGBTQ+ Safety
68
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,430
Local Cost
$960
Local Income
$1,300
Cashless
40
English
30
Temperature
10.9°C
Summer Avg
19.6°C
Winter Avg
3.1°C
Record High
37.1°C
Record Low
-12.9°C
Humidity
70%
Precipitation
602 mm
Internet Speed
170 Mbps
Upload
189 Mbps
Latency
5 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
10
Walk Score
10
Footways
19.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 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: 57/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.