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Algés

City in Lisbon, Portugal

Overview

Algés is a pleasant riverside parish in the Lisbon metropolitan area, blending urban convenience with a relaxed, local atmosphere. Its strategic location along the Tagus River and excellent transport links to central Lisbon make it popular with commuters and families alike.

Geographic Context

Jurisdiction
Portugal
District
Lisbon
Population
19,327
Time Zone
Europe/Lisbon
Coordinates
38.70°, -9.23°

Key Metrics

Safety Score · estimate
82
Female Safety
83
LGBTQ+ Safety
85
Traffic Safety
75
Food Safety
93
Monthly Cost · estimate
$2,270
Local Cost
$1,440
Local Income
$1,050
Cashless
72
English
65
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
244 Mbps
Upload
110 Mbps
Latency
10 ms
City Vibrancy
113
Coworking
1
Cafes
62
Nightlife
6
Parks
44
Transport
0
Walk Score
0
Footways
—
Airport
CAT
Distance
11 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 96 tests. Record updated 2025-12-05.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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