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Sobral de Monte Agraço

City in Guarda, Portugal

Overview

Sobral de Monte Agraço is a small town in the Guarda region of Portugal, known for its peaceful atmosphere and historical charm. The area offers access to beautiful rolling landscapes, local traditions, and welcoming residents.

Geographic Context

Jurisdiction
Portugal
District
Guarda
Population
10,156
Time Zone
Europe/Lisbon
Coordinates
39.02°, -9.15°

Key Metrics

Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,181
Local Cost
$702
Local Income
$950
Cashless
60
English
50
Temperature
16.0°C
Summer Avg
19.9°C
Winter Avg
11.8°C
Record High
36.3°C
Record Low
0.0°C
Humidity
80%
Precipitation
574 mm
Internet Speed
160 Mbps
Upload
96 Mbps
Latency
5 ms
City Vibrancy
15
Coworking
0
Cafes
11
Nightlife
1
Parks
3
Transport
29
Walk Score
29
Footways
57.0
Airport
LIS
Distance
26 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 36 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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