Bell-lloc d'Urgell

City in Lleida, Spain

Overview

Bell-lloc d'Urgell is a small, tranquil town in the Lleida province, known for its agricultural heritage and charming Catalan atmosphere. With a close-knit community, it offers visitors authentic local experiences, away from the crowd of bigger cities.

Geographic Context

Jurisdiction
Spain
Province
Lleida
Population
2,359
Time Zone
Europe/Madrid
Coordinates
41.63°, 0.78°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
75
Food Safety
98
Monthly Cost · estimate
$1,505
Local Cost
$940
Local Income
$1,350
Cashless
60
English
30
Temperature
14.8°C
Summer Avg
24.4°C
Winter Avg
6.0°C
Record High
42.1°C
Record Low
-8.1°C
Humidity
68%
Precipitation
438 mm
Internet Speed
322 Mbps
Upload
289 Mbps
Latency
11 ms
City Vibrancy
6
Coworking
0
Cafes
0
Nightlife
4
Parks
2
Transport
9
Walk Score
9
Footways
18.0
Airport
ILD
Distance
23 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 6 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 2026-03-22.
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.