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Xerta

City in Tarragona, Spain

Overview

Xerta is a picturesque riverside village set in the province of Tarragona, Catalonia, Spain. Known for its peaceful ambiance, historic charm, and access to the stunning Serra de Cardó mountains, Xerta offers an authentic small-town Spanish experience.

Geographic Context

Jurisdiction
Spain
Province
Tarragona
Population
1,156
Time Zone
Europe/Madrid
Coordinates
40.91°, 0.49°

Key Metrics

Safety Score · estimate
88
Female Safety
80
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
94
Monthly Cost · estimate
$1,372
Local Cost
$870
Local Income
$1,415
Cashless
55
English
35
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
221 Mbps
Upload
234 Mbps
Latency
10 ms
City Vibrancy
6
Coworking
0
Cafes
2
Nightlife
0
Parks
4
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 15 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 2026-03-22.
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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