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Vilar de Figos

City in Braga, Portugal

Overview

Vilar de Figos is a quaint rural town in the Braga region of northern Portugal, known for its tranquil atmosphere, green landscapes, and welcoming community. The village blends tradition and natural beauty, offering visitors an authentic Portuguese countryside experience.

Geographic Context

Jurisdiction
Portugal
District
Braga
Population
—
Time Zone
Europe/Lisbon
Coordinates
41.48°, -8.65°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
70
Food Safety
80
Monthly Cost · estimate
$1,051
Local Cost
$711
Local Income
$900
Cashless
60
English
30
Temperature
14.9°C
Summer Avg
19.9°C
Winter Avg
10.1°C
Record High
37.0°C
Record Low
-0.8°C
Humidity
78%
Precipitation
1052 mm
Internet Speed
284 Mbps
Upload
112 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
OPO
Distance
25 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 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 2026-03-21.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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