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Adsubia

City in Alicante, Spain

Overview

Adsubia is a picturesque village in Alicante province, set at the gateway to the Vall de Gallinera. Known for its tranquil surroundings, historic architecture, and access to beautiful hiking trails, it's a perfect spot for a peaceful rural getaway.

Geographic Context

Jurisdiction
Spain
Province
Alicante
Population
—
Time Zone
Europe/Madrid
Coordinates
38.85°, -0.15°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,520
Local Cost
$1,000
Local Income
$1,400
Cashless
60
English
35
Temperature
18.1°C
Summer Avg
24.8°C
Winter Avg
12.0°C
Record High
36.6°C
Record Low
2.3°C
Humidity
71%
Precipitation
457 mm
Internet Speed
160 Mbps
Upload
138 Mbps
Latency
21 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
3
Walk Score
3
Footways
5.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 166 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-10.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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