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Ħal Far
City in Birżebbuġa, Malta
Overview
Ħal Far, located in the Birżebbuġa region of southern Malta, is best known for its mix of industrial zones and rural landscapes. While not primarily a tourist destination, it offers a peaceful local experience and is close to beautiful beaches and countryside.
Geographic Context
Jurisdiction
Malta
Local Council
Birżebbuġa
Population
—
Time Zone
Europe/Malta
Coordinates
35.81°, 14.51°
Key Metrics
Safety Score · estimate
68
Female Safety
75
LGBTQ+ Safety
77
Traffic Safety
72
Food Safety
90
Monthly Cost · estimate
$1,588
Local Cost
$1,062
Local Income
$1,250
Cashless
83
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
Internet Speed
143 Mbps
Upload
56 Mbps
Latency
5 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
1
Parks
3
Transport
9
Walk Score
9
Footways
17.0
Airport
MLA
Distance
5 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 2026-03-21.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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