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Campo de Besteiros

City in Viseu, Portugal

Overview

Campo de Besteiros is a tranquil village in the Viseu region, known for its picturesque countryside, friendly community, and relaxed rural rhythm. It's ideal for visitors seeking authentic Portuguese village life with easy access to nature and local traditions.

Geographic Context

Jurisdiction
Portugal
District
Viseu
Population
1,318
Time Zone
Europe/Lisbon
Coordinates
40.56°, -8.13°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,102
Local Cost
$622
Local Income
$950
Cashless
60
English
30
Temperature
14.5°C
Summer Avg
21.8°C
Winter Avg
7.7°C
Record High
43.1°C
Record Low
-5.0°C
Humidity
74%
Precipitation
1016 mm
Internet Speed
372 Mbps
Upload
233 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
11
Walk Score
11
Footways
22.0
Airport
VSE
Distance
28 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 41 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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