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Corinth Estate

City in Gros Islet, Saint Lucia

Overview

Corinth Estate is a scenic residential area in Gros Islet, Saint Lucia, known for its tranquil ambiance and proximity to the island's top attractions. It is a peaceful base for exploring both the lively Rodney Bay and the serene northern coastline.

Geographic Context

Jurisdiction
Saint Lucia
District
Gros Islet
Population
—
Time Zone
America/St_Lucia
Coordinates
14.04°, -60.95°

Key Metrics

Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
60
Monthly Cost · estimate
$1,365
Local Cost
$930
Local Income
$700
Cashless
45
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
234 Mbps
Upload
51 Mbps
Latency
28 ms
City Vibrancy
12
Coworking
0
Cafes
1
Nightlife
9
Parks
2
Transport
0
Walk Score
0
Footways
—
Airport
SLU
Distance
5 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 20 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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