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Santa Oliva

City in Tarragona, Spain

Overview

Santa Oliva is a picturesque town in the Tarragona region of Spain, known for its medieval heritage and tranquil Mediterranean setting. With under 4,000 residents, it offers an authentic, welcoming atmosphere and easy access to both rural landscapes and cultural landmarks.

Geographic Context

Jurisdiction
Spain
Province
Tarragona
Population
3,672
Time Zone
Europe/Madrid
Coordinates
41.25°, 1.55°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,565
Local Cost
$990
Local Income
$1,300
Cashless
40
English
30
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
199 Mbps
Upload
154 Mbps
Latency
6 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
3
Parks
1
Transport
6
Walk Score
6
Footways
11.0
Airport
REU
Distance
34 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 33 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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