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Alcabideche

City in Lisbon, Portugal

Overview

Alcabideche is a charming town in the Lisbon region, blending the serenity of rural Portugal with easy access to lively Cascais and Lisbon. Known for its scenic hills and traditional markets, the city provides a peaceful retreat close to major attractions and beaches.

Geographic Context

Jurisdiction
Portugal
District
Lisbon
Population
33,315
Time Zone
Europe/Lisbon
Coordinates
38.73°, -9.41°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
82
Traffic Safety
77
Food Safety
95
Monthly Cost · estimate
$2,256
Local Cost
$1,310
Local Income
$1,150
Cashless
68
English
64
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
290 Mbps
Upload
157 Mbps
Latency
5 ms
City Vibrancy
44
Coworking
0
Cafes
30
Nightlife
0
Parks
14
Transport
0
Walk Score
0
Footways
—
Airport
CAT
Distance
5 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 53 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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