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St Aubin
City in Savanne, Mauritius
Overview
St Aubin is a tranquil village in the lush Savanne district of southern Mauritius, best known for its historic sugar estate and picturesque countryside. Visitors enjoy local hospitality, colonial architecture, and unique experiences in vanilla and rum production.
Geographic Context
Jurisdiction
Mauritius
District
Savanne
Population
—
Time Zone
Indian/Mauritius
Coordinates
-20.49°, 57.55°
Key Metrics
Safety Score · estimate
68
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
70
Monthly Cost · estimate
$837
Local Cost
$482
Local Income
$400
Cashless
45
English
80
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
Internet Speed
67 Mbps
Upload
20 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
MRU
Distance
15 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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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