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Carnaxide
City in Lisbon, Portugal
Overview
Carnaxide is a thriving suburb west of Lisbon with a mix of traditional Portuguese charm and modern amenities. The city is known for its peaceful neighborhoods, local festivals, and proximity to green spaces, making it ideal for families and professionals. Well-served by public transport, Carnaxide offers easy access to the capital while retaining a relaxed community feel.
Geographic Context
Jurisdiction
Portugal
District
Lisbon
Population
23,698
Time Zone
Europe/Lisbon
Coordinates
38.73°, -9.25°
Key Metrics
Safety Score · estimate
80
Female Safety
78
LGBTQ+ Safety
85
Traffic Safety
77
Food Safety
96
Monthly Cost · estimate
$1,778
Local Cost
$1,240
Local Income
$1,150
Cashless
78
English
62
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
279 Mbps
Upload
116 Mbps
Latency
7 ms
City Vibrancy
71
Coworking
0
Cafes
23
Nightlife
1
Parks
47
Transport
0
Walk Score
0
Footways
—
Airport
CAT
Distance
9 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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