Preixens

City in Lleida, Spain

Overview

Preixens is a small and tranquil Catalan village in the province of Lleida, Spain, known for its rich agricultural landscape and welcoming local community. With a population under 400, it offers visitors an authentic rural experience far from tourist crowds.

Geographic Context

Jurisdiction
Spain
Province
Lleida
Population
392
Time Zone
Europe/Madrid
Coordinates
41.79°, 1.05°

Key Metrics

Safety Score · estimate
90
Female Safety
82
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,345
Local Cost
$808
Local Income
$1,300
Cashless
40
English
30
Temperature
12.4°C
Summer Avg
21.8°C
Winter Avg
3.8°C
Record High
38.7°C
Record Low
-11.5°C
Humidity
66%
Precipitation
527 mm
Internet Speed
518 Mbps
Upload
484 Mbps
Latency
11 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
7
Walk Score
7
Footways
13.0
Airport
ILD
Distance
43 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.