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Beato António

City in Lisbon, Portugal

Overview

Beato António is an up-and-coming district of Lisbon renowned for its creative energy and riverside charm. Once an industrial area, today it attracts artists, entrepreneurs, and locals enjoying its evolving culinary and cultural landscape.

Geographic Context

Jurisdiction
Portugal
District
Lisbon
Population
—
Time Zone
Europe/Lisbon
Coordinates
38.73°, -9.10°

Key Metrics

Safety Score · estimate
74
Female Safety
78
LGBTQ+ Safety
81
Traffic Safety
70
Food Safety
93
Monthly Cost · estimate
$1,958
Local Cost
$1,378
Local Income
$1,150
Cashless
73
English
69
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
165 Mbps
Upload
94 Mbps
Latency
5 ms
City Vibrancy
60
Coworking
2
Cafes
33
Nightlife
12
Parks
13
Transport
100
Walk Score
100
Footways
201.0
Airport
LIS
Distance
6 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 18 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.

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 2026-03-21.
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: 82/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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