Vinebre
City in Tarragona, Spain
Overview
Vinebre is a quaint riverside village in Tarragona, Spain, characterized by its historic center, peaceful rural surroundings, and scenic views of the Ebro River. With a small population, it offers an authentic glimpse into Catalan rural life and is ideal for relaxation amidst nature and local traditions.
Geographic Context
Jurisdiction
Spain
Province
Tarragona
Population
424
Time Zone
Europe/Madrid
Coordinates
41.18°, 0.59°
Key Metrics
Safety Score · estimate
85
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,355
Local Cost
$790
Local Income
$1,400
Cashless
35
English
20
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
325 Mbps
Upload
285 Mbps
Latency
12 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
4
Walk Score
4
Footways
7.0
Airport
REU
Distance
49 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.