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Vale de Cambra

City in Aveiro, Portugal

Overview

Vale de Cambra is a charming small city in northern Portugal, framed by the verdant hills of Serra da Freita. It's known for its relaxed pace, natural beauty, and authentic Portuguese life away from bigger tourist centers.

Geographic Context

Jurisdiction
Portugal
District
Aveiro
Population
22,864
Time Zone
Europe/Lisbon
Coordinates
40.84°, -8.36°

Key Metrics

Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
76
Traffic Safety
78
Food Safety
95
Monthly Cost · estimate
$1,512
Local Cost
$758
Local Income
$950
Cashless
65
English
52
Temperature
13.2°C
Summer Avg
20.2°C
Winter Avg
6.7°C
Record High
41.5°C
Record Low
-4.9°C
Humidity
76%
Precipitation
999 mm
City Vibrancy
11
Coworking
0
Cafes
7
Nightlife
1
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
VSE
Distance
42 km

Neighborhoods

Partial

Data sources

Source-backed data

OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
Overture Maps and OpenStreetMap - 3 source-backed neighborhood entities are available for this city. Record updated 2026-03-23.

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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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