Gavet de la Conca

City in Lleida, Spain

Overview

Gavet de la Conca is a small, serene municipality set in the foothills of Lleida, Catalonia. With just over 250 residents, it offers historical architecture, breathtaking rural landscapes, and authentic Catalan tradition away from the crowds.

Geographic Context

Jurisdiction
Spain
Province
Lleida
Population
259
Time Zone
Europe/Madrid
Coordinates
42.12°, 0.92°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$1,335
Local Cost
$750
Local Income
$1,050
Cashless
50
English
35
Temperature
13.6°C
Summer Avg
23.1°C
Winter Avg
4.8°C
Record High
40.0°C
Record Low
-10.4°C
Humidity
64%
Precipitation
494 mm
Internet Speed
284 Mbps
Upload
312 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
LEU
Distance
47 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.