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Savallà del Comtat

City in Tarragona, Spain

Overview

Savallà del Comtat is a tranquil, tiny village in the Tarragona region of Catalonia, Spain. With a population of just 50, it offers a peaceful rural escape, surrounded by rolling hills and historic landmarks.

Geographic Context

Jurisdiction
Spain
Province
Tarragona
Population
50
Time Zone
Europe/Madrid
Coordinates
41.54°, 1.30°

Key Metrics

Safety Score · estimate
95
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
90
Monthly Cost · estimate
$1,210
Local Cost
$760
Local Income
$900
Cashless
30
English
20
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
43 Mbps
Upload
16 Mbps
Latency
48 ms
City Vibrancy
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
REU
Distance
45 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-06.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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