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Beintza-Labaien
City in Navarra, Spain
Overview
Beintza-Labaien is a picturesque, tranquil village in the Navarre region of Spain, known for its lush landscapes and rich Basque heritage. With a population of just 217, it offers visitors a peaceful escape surrounded by rolling hills and traditional stone architecture. The village is perfect for outdoor enthusiasts and those seeking an authentic rural experience.
Geographic Context
Jurisdiction
Spain
Province
Navarra
Population
217
Time Zone
Europe/Madrid
Coordinates
43.09°, -1.74°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,630
Local Cost
$930
Local Income
$1,350
Cashless
40
English
35
Temperature
11.6°C
Summer Avg
18.3°C
Winter Avg
5.1°C
Record High
37.9°C
Record Low
-8.9°C
Humidity
82%
Precipitation
968 mm
Internet Speed
13 Mbps
Upload
2 Mbps
Latency
44 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
EAS
Distance
30 km
Explore
Data sources
Source-backed data
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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