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Minas de São Domingos

City in Beja, Portugal

Overview

Minas de São Domingos is a tranquil village in the Alentejo region of southern Portugal, known for its historic copper mine and scenic landscapes. Though small and peaceful, it attracts those interested in industrial heritage, hiking, and rural relaxation.

Geographic Context

Jurisdiction
Portugal
District
Beja
Population
—
Time Zone
Europe/Lisbon
Coordinates
37.67°, -7.50°

Key Metrics

Safety Score · estimate
77
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
85
Monthly Cost · estimate
$1,074
Local Cost
$632
Local Income
$900
Cashless
30
English
35
Temperature
17.7°C
Summer Avg
26.4°C
Winter Avg
9.8°C
Record High
45.2°C
Record Low
-5.2°C
Humidity
66%
Precipitation
469 mm
Internet Speed
187 Mbps
Upload
86 Mbps
Latency
28 ms
City Vibrancy
8
Coworking
0
Cafes
7
Nightlife
0
Parks
1
Transport
44
Walk Score
44
Footways
88.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 5 tests. Record updated 2025-12-05.
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 2026-03-22.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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