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Morne Jacques
City in Choiseul, Saint Lucia
Overview
Morne Jacques is a tranquil village set in the lush hills of Choiseul, Saint Lucia, offering a blend of rural charm and natural beauty. With friendly locals and easy access to hiking trails, it's a great base for exploring the quieter side of the island. Though small and understated, Morne Jacques is perfect for travelers seeking authenticity and relaxation.
Geographic Context
Jurisdiction
Saint Lucia
District
Choiseul
Population
—
Time Zone
America/St_Lucia
Coordinates
13.81°, -61.03°
Key Metrics
Safety Score · estimate
67
Female Safety
58
LGBTQ+ Safety
38
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$1,215
Local Cost
$660
Local Income
$420
Cashless
34
English
93
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
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
1
Walk Score
1
Footways
2.0
Airport
UVF
Distance
12 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 2026-03-22.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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