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Morne Road
City in Castries, Saint Lucia
Overview
Morne Road is a scenic hillside corridor within Castries, Saint Lucia's busy capital. It offers a mix of residential charm, historic sites, and easy access to the lively city and beautiful nearby coastlines. Travelers enjoy both the tranquility of the elevated views and the convenience of urban amenities.
Geographic Context
Jurisdiction
Saint Lucia
District
Castries
Population
—
Time Zone
America/St_Lucia
Coordinates
14.01°, -61.00°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
45
Food Safety
68
Monthly Cost · estimate
$1,530
Local Cost
$870
Local Income
$650
Cashless
40
English
92
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
240 Mbps
Upload
36 Mbps
Latency
19 ms
City Vibrancy
44
Coworking
1
Cafes
9
Nightlife
25
Parks
9
Transport
23
Walk Score
23
Footways
46.0
Airport
SLU
Distance
2 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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