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Saint Julien
City in Flacq, Mauritius
Overview
Saint Julien is a tranquil, semi-rural town set in the lush region of Flacq, Mauritius. Known for its sugarcane landscapes and friendly local atmosphere, it's an ideal base for exploring the island's east coast and national parks.
Geographic Context
Jurisdiction
Mauritius
District
Flacq
Population
3,188
Time Zone
Indian/Mauritius
Coordinates
-20.23°, 57.64°
Key Metrics
Safety Score · estimate
65
Female Safety
54
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
67
Monthly Cost · estimate
$815
Local Cost
$400
Local Income
$420
Cashless
41
English
73
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
Internet Speed
62 Mbps
Upload
10 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MRU
Distance
23 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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