Preixana

City in Lleida, Spain

Overview

Preixana is a picturesque rural village in Lleida, Spain, with a close-knit population and tranquil atmosphere. Surrounded by rolling fields and traditional Catalan architecture, it's an ideal destination for those looking to experience authentic countryside life.

Geographic Context

Jurisdiction
Spain
Province
Lleida
Population
406
Time Zone
Europe/Madrid
Coordinates
41.61°, 1.04°

Key Metrics

Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
72
Traffic Safety
87
Food Safety
96
Monthly Cost · estimate
$1,222
Local Cost
$750
Local Income
$1,450
Cashless
40
English
35
Temperature
14.5°C
Summer Avg
23.5°C
Winter Avg
6.1°C
Record High
40.0°C
Record Low
-7.9°C
Humidity
69%
Precipitation
469 mm
Internet Speed
172 Mbps
Upload
402 Mbps
Latency
6 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
2
Parks
2
Transport
8
Walk Score
8
Footways
16.0
Airport
ILD
Distance
44 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.