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En Bamboo

City in Vieux Fort, Saint Lucia

Overview

En Bamboo is a small, lively community in the Vieux Fort region of Saint Lucia, blending tropical scenery with authentic local life. Though off the main tourist routes, it offers charming neighborhoods, welcoming residents, and easy access to beautiful beaches.

Geographic Context

Jurisdiction
Saint Lucia
District
Vieux Fort
Population
Time Zone
America/St_Lucia
Coordinates
13.78°, -60.95°

Key Metrics

Safety Score · estimate
70
Female Safety
68
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
70
Monthly Cost · estimate
$1,130
Local Cost
$680
Local Income
$700
Cashless
55
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
Internet Speed
342 Mbps
Upload
16 Mbps
Latency
44 ms
City Vibrancy
12
Coworking
0
Cafes
0
Nightlife
12
Parks
0
Transport
0
Walk Score
0
Footways
Airport
UVF
Distance
5 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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