La Vilella Baixa
City in Tarragona, Spain
Overview
La Vilella Baixa is a tiny, picturesque village set in the dramatic landscapes of Priorat, Tarragona, Spain. Known for its charming stone houses, winding streets, and proximity to acclaimed vineyards, it offers a tranquil and authentic Catalan experience. With a friendly local community and breathtaking scenery, it's a hidden gem for slow travel enthusiasts.
Geographic Context
Jurisdiction
Spain
Province
Tarragona
Population
207
Time Zone
Europe/Madrid
Coordinates
41.22°, 0.76°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
95
Food Safety
90
Monthly Cost · estimate
$1,265
Local Cost
$860
Local Income
$1,100
Cashless
40
English
40
Temperature
15.8°C
Summer Avg
24.3°C
Winter Avg
8.0°C
Record High
39.4°C
Record Low
-4.9°C
Humidity
69%
Precipitation
455 mm
Internet Speed
115 Mbps
Upload
167 Mbps
Latency
14 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
REU
Distance
35 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.