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Poste de Flacq
City in Flacq, Mauritius
Overview
Poste de Flacq is a coastal village in eastern Mauritius, well-known for its pristine beaches, luxury resorts, and laid-back local atmosphere. The area combines authentic Mauritian lifestyle with accessible tourist amenities, making it ideal for both leisure and exploration.
Geographic Context
Jurisdiction
Mauritius
District
Flacq
Population
8,659
Time Zone
Indian/Mauritius
Coordinates
-20.16°, 57.73°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
75
Monthly Cost · estimate
$1,185
Local Cost
$540
Local Income
$450
Cashless
50
English
85
Temperature
25.2°C
Summer Avg
27.1°C
Winter Avg
23.2°C
Record High
30.4°C
Record Low
19.7°C
Humidity
76%
Precipitation
675 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
MRU
Distance
30 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 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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