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Arcos Los

City in Navarra, Spain

Overview

Arcos Los is a picturesque small town in Navarra, Spain, celebrated for its medieval charm, local wine culture, and scenic river views. Its compact historic center and surrounding neighborhoods offer visitors a blend of tradition and modern amenities.

Geographic Context

Jurisdiction
Spain
Province
Navarra
Population
—
Time Zone
Europe/Madrid
Coordinates
42.57°, -2.19°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,658
Local Cost
$970
Local Income
$1,400
Cashless
50
English
25
Temperature
11.8°C
Summer Avg
19.5°C
Winter Avg
4.6°C
Record High
39.3°C
Record Low
-9.3°C
Humidity
74%
Precipitation
640 mm
Internet Speed
150 Mbps
Upload
144 Mbps
Latency
20 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
RJL
Distance
16 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 tests. Record updated 2025-12-05.
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 2026-03-21.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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