Mequinenza

City in Zaragoza, Spain

Overview

Mequinenza is a charming riverside town in the province of Zaragoza, Spain, perched where the Ebro, Segre, and Cinca rivers meet. Known for its unique history, dramatic scenery, and outdoor activities, the town seamlessly blends tradition with recreation.

Geographic Context

Jurisdiction
Spain
Province
Zaragoza
Population
2,232
Time Zone
Europe/Madrid
Coordinates
41.37°, 0.30°

Key Metrics

Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,343
Local Cost
$788
Local Income
$1,300
Cashless
45
English
30
Temperature
15.4°C
Summer Avg
25.0°C
Winter Avg
6.5°C
Record High
43.6°C
Record Low
-6.4°C
Humidity
65%
Precipitation
396 mm
Internet Speed
16 Mbps
Upload
24 Mbps
Latency
78 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
31
Walk Score
31
Footways
62.0
Airport
ILD
Distance
44 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 2025-12-08.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.