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Sober

City in Lugo, Spain

Overview

Sober is a peaceful Galician town perched above the dramatic Sil Canyon in the heart of the Ribeira Sacra wine region. Renowned for its scenic landscapes, medieval churches, and wine culture, Sober offers visitors authentic rural charm and outdoor adventures.

Geographic Context

Jurisdiction
Spain
Province
Lugo
Population
2,129
Time Zone
Europe/Madrid
Coordinates
42.46°, -7.59°

Key Metrics

Safety Score · estimate
86
Female Safety
83
LGBTQ+ Safety
72
Traffic Safety
95
Food Safety
98
Monthly Cost · estimate
$1,213
Local Cost
$802
Local Income
$1,350
Cashless
62
English
38
Temperature
12.0°C
Summer Avg
19.3°C
Winter Avg
5.4°C
Record High
39.0°C
Record Low
-6.2°C
Humidity
77%
Precipitation
919 mm
Internet Speed
402 Mbps
Upload
430 Mbps
Latency
20 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
16
Walk Score
16
Footways
32.0
Airport
—
Distance
—

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 2025-12-08.
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 2026-03-22.
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: 61/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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