Bonastre
City in Tarragona, Spain
Overview
Bonastre is a tranquil village set in the rolling hills of Tarragona, Spain, renowned for its historical architecture and picturesque landscapes. The community offers a glimpse into traditional Catalan life, with local festivals and a warm, welcoming atmosphere. Its peaceful rural surroundings make it an ideal escape from busy city life.
Geographic Context
Jurisdiction
Spain
Province
Tarragona
Population
760
Time Zone
Europe/Madrid
Coordinates
41.22°, 1.44°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
72
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,405
Local Cost
$880
Local Income
$1,300
Cashless
35
English
30
Temperature
16.8°C
Summer Avg
23.9°C
Winter Avg
10.3°C
Record High
33.8°C
Record Low
0.2°C
Humidity
74%
Precipitation
467 mm
Internet Speed
127 Mbps
Upload
138 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
REU
Distance
24 km
Explore
Data sources
Source-backed data
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.