Vilanova de Prades
City in Tarragona, Spain
Overview
Vilanova de Prades is a picturesque mountain village set in Tarragona's Prades Mountains, known for its clean air, charming stone houses, and tranquil rural setting. With just over 100 residents, it provides an authentic, peaceful escape for nature lovers and those seeking relaxation away from the crowds.
Geographic Context
Jurisdiction
Spain
Province
Tarragona
Population
111
Time Zone
Europe/Madrid
Coordinates
41.35°, 0.96°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,230
Local Cost
$820
Local Income
$1,150
Cashless
30
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
34 Mbps
Upload
11 Mbps
Latency
23 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
REU
Distance
29 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.