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Monchy/Riviere Mitan
City in Gros Islet, Saint Lucia
Overview
Monchy and Riviere Mitan are tranquil, local communities in the Gros Islet district of Saint Lucia, offering a glimpse into authentic rural island life. Surrounded by lush hills and rivers, these areas are perfect for visitors seeking cultural experiences away from the resort bustle.
Geographic Context
Jurisdiction
Saint Lucia
District
Gros Islet
Population
—
Time Zone
America/St_Lucia
Coordinates
14.05°, -60.94°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$1,315
Local Cost
$725
Local Income
$450
Cashless
35
English
85
Temperature
27.5°C
Summer Avg
28.1°C
Winter Avg
26.6°C
Record High
30.9°C
Record Low
23.9°C
Humidity
77%
Precipitation
1444 mm
Internet Speed
297 Mbps
Upload
56 Mbps
Latency
26 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
3
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
SLU
Distance
7 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-10.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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