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Monte Estoril
City in Lisbon, Portugal
Overview
Monte Estoril is a picturesque, affluent coastal neighborhood set between Cascais and Estoril, famed for its elegant belle-époque architecture and lush seaside gardens. The area offers a serene beach atmosphere with easy access to Lisbon and local historic sites, making it ideal for both leisure travelers and families seeking tranquility close to the city.
Geographic Context
Jurisdiction
Portugal
District
Lisbon
Population
23,375
Time Zone
Europe/Lisbon
Coordinates
38.70°, -9.41°
Key Metrics
Safety Score · estimate
87
Female Safety
85
LGBTQ+ Safety
85
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$2,546
Local Cost
$1,494
Local Income
$1,350
Cashless
75
English
60
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
167 Mbps
Upload
109 Mbps
Latency
19 ms
City Vibrancy
156
Coworking
0
Cafes
82
Nightlife
34
Parks
40
Transport
0
Walk Score
0
Footways
—
Airport
CAT
Distance
5 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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