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Linda-a-Velha
City in Lisbon, Portugal
Overview
Linda-a-Velha is a tranquil suburban town in the Lisbon metropolitan area, blending modern residential living with traditional Portuguese charm. Its proximity to both Lisbon's city center and the Tagus River makes it ideal for those seeking a quieter base with easy access to urban attractions.
Geographic Context
Jurisdiction
Portugal
District
Lisbon
Population
20,895
Time Zone
Europe/Lisbon
Coordinates
38.71°, -9.24°
Key Metrics
Safety Score · estimate
82
Female Safety
85
LGBTQ+ Safety
85
Traffic Safety
78
Food Safety
94
Monthly Cost · estimate
$1,978
Local Cost
$1,252
Local Income
$1,200
Cashless
82
English
68
Temperature
16.5°C
Summer Avg
19.8°C
Winter Avg
13.1°C
Record High
33.1°C
Record Low
2.8°C
Humidity
81%
Precipitation
541 mm
Internet Speed
330 Mbps
Upload
162 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CAT
Distance
10 km
Explore
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.
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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