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Ayegui/Aiegi

City in Navarra, Spain

Overview

Ayegui/Aiegi is a charming small town in Navarra, Spain, set at the foot of Montejurra mountain and adjacent to the famous Monasterio de Irache. The town boasts a peaceful atmosphere and is a gateway to the Camino de Santiago pilgrimage route.

Geographic Context

Jurisdiction
Spain
Province
Navarra
Population
2,550
Time Zone
Europe/Madrid
Coordinates
42.66°, -2.04°

Key Metrics

Safety Score · estimate
88
Female Safety
87
LGBTQ+ Safety
82
Traffic Safety
78
Food Safety
94
Monthly Cost · estimate
$1,538
Local Cost
$962
Local Income
$1,350
Cashless
65
English
35
Temperature
12.4°C
Summer Avg
20.3°C
Winter Avg
4.9°C
Record High
39.6°C
Record Low
-8.9°C
Humidity
75%
Precipitation
656 mm
Internet Speed
302 Mbps
Upload
302 Mbps
Latency
17 ms
City Vibrancy
35
Coworking
0
Cafes
7
Nightlife
12
Parks
16
Transport
77
Walk Score
77
Footways
154.0
Airport
RJL
Distance
32 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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