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Camp Thorel
City in Moka, Mauritius
Overview
Camp Thorel is a quiet, rural village in the Moka district of Mauritius, surrounded by lush nature and scenic mountain landscapes. It offers a genuine taste of island life far from tourist crowds, with friendly locals, cozy eateries, and easy access to outdoor activities.
Geographic Context
Jurisdiction
Mauritius
District
Moka
Population
2,299
Time Zone
Indian/Mauritius
Coordinates
-20.21°, 57.62°
Key Metrics
Safety Score · estimate
68
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
55
Food Safety
78
Monthly Cost · estimate
$990
Local Cost
$490
Local Income
$420
Cashless
40
English
75
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
0
Walk Score
0
Footways
—
Airport
MRU
Distance
25 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 2025-12-08.
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: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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