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Arabayona de Mógica
City in Salamanca, Spain
Overview
Arabayona de Mógica is a picturesque rural village in the province of Salamanca, Spain. With a small population and scenic countryside, it offers a tranquil escape and authentic Castilian charm. The town is ideal for visitors seeking peaceful rural life, traditional architecture, and local hospitality.
Geographic Context
Jurisdiction
Spain
Province
Salamanca
Population
325
Time Zone
Europe/Madrid
Coordinates
41.05°, -5.39°
Key Metrics
Safety Score · estimate
88
Female Safety
84
LGBTQ+ Safety
75
Traffic Safety
95
Food Safety
90
Monthly Cost · estimate
$1,075
Local Cost
$700
Local Income
$1,200
Cashless
40
English
20
Temperature
12.3°C
Summer Avg
21.5°C
Winter Avg
4.2°C
Record High
39.5°C
Record Low
-8.1°C
Humidity
67%
Precipitation
409 mm
Internet Speed
47 Mbps
Upload
0 Mbps
Latency
39 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
SLM
Distance
14 km
Explore
Data sources
Source-backed data
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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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