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Corinth

City in Gros Islet, Saint Lucia

Overview

Corinth is a calm residential district in the Gros Islet region of Saint Lucia, set between verdant hills and close to the island's lively north. The city offers authentic local life alongside quick escapes to Rodney Bay's attractions and beaches.

Geographic Context

Jurisdiction
Saint Lucia
District
Gros Islet
Population
—
Time Zone
America/St_Lucia
Coordinates
14.05°, -60.96°

Key Metrics

Safety Score · estimate
60
Female Safety
60
LGBTQ+ Safety
50
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$1,390
Local Cost
$820
Local Income
$580
Cashless
50
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
306 Mbps
Upload
120 Mbps
Latency
29 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 17 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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