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Flic en Flac
City in Black River, Mauritius
Overview
Flic en Flac is a coastal town on the west coast of Mauritius, famous for its expansive white sand beaches, laid-back vibe, and underwater activities. The area balances resort luxury with authentic Mauritian culture, making it a favorite for both tourists and longer-term visitors.
Geographic Context
Jurisdiction
Mauritius
District
Black River
Population
—
Time Zone
Indian/Mauritius
Coordinates
-20.27°, 57.36°
Key Metrics
Safety Score · estimate
70
Female Safety
68
LGBTQ+ Safety
55
Traffic Safety
65
Food Safety
77
Monthly Cost · estimate
$1,355
Local Cost
$800
Local Income
$475
Cashless
63
English
85
Temperature
24.8°C
Summer Avg
26.9°C
Winter Avg
22.6°C
Record High
31.6°C
Record Low
18.6°C
Humidity
74%
Precipitation
715 mm
City Vibrancy
9
Coworking
0
Cafes
3
Nightlife
4
Parks
2
Transport
5
Walk Score
5
Footways
9.0
Airport
MRU
Distance
38 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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