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Madliena
City in Swieqi, Malta
Overview
Madliena is an exclusive hilltop enclave within the Swieqi region, renowned for its upmarket residences and serene countryside ambiance. Balancing seclusion with proximity to Malta's lively downtowns, Madliena promises a peaceful yet connected lifestyle amid Mediterranean charm.
Geographic Context
Jurisdiction
Malta
Local Council
Swieqi
Population
—
Time Zone
Europe/Malta
Coordinates
35.93°, 14.47°
Key Metrics
Safety Score · estimate
81
Female Safety
86
LGBTQ+ Safety
93
Traffic Safety
74
Food Safety
97
Monthly Cost · estimate
$2,385
Local Cost
$1,460
Local Income
$1,650
Cashless
85
English
97
Temperature
19.8°C
Summer Avg
25.0°C
Winter Avg
15.0°C
Record High
32.2°C
Record Low
8.3°C
Humidity
77%
Precipitation
588 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
21
Walk Score
21
Footways
42.0
Airport
MLA
Distance
10 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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 2026-03-22.
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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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