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Tete Morne/Morne Andrew
City in Vieux Fort, Saint Lucia
Overview
Tete Morne/Morne Andrew is a serene rural cluster set in Saint Lucia's Vieux Fort region. Known for its hillside landscapes, farmlands, and local charm, it provides an authentic experience off the tourist trail. It's ideal for travelers seeking natural beauty and a peaceful retreat.
Geographic Context
Jurisdiction
Saint Lucia
District
Vieux Fort
Population
—
Time Zone
America/St_Lucia
Coordinates
13.77°, -60.95°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$1,135
Local Cost
$690
Local Income
$400
Cashless
30
English
90
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
188 Mbps
Upload
22 Mbps
Latency
37 ms
City Vibrancy
12
Coworking
0
Cafes
0
Nightlife
12
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
UVF
Distance
4 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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