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Mon Repos
City in San Fernando, Trinidad and Tobago
Overview
Mon Repos, situated in San Fernando, Trinidad and Tobago, is a lively city known for its lively neighborhoods, multicultural eateries, and rich community spirit. It combines residential comforts with dynamic local markets and access to the scenic Gulf of Paria coastline.
Geographic Context
Jurisdiction
Trinidad and Tobago
Region
San Fernando
Population
56,380
Time Zone
America/Port_of_Spain
Coordinates
10.28°, -61.45°
Key Metrics
Safety Score · estimate
50
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
45
Food Safety
65
Monthly Cost · estimate
$1,110
Local Cost
$667
Local Income
$750
Cashless
45
English
85
Temperature
26.8°C
Summer Avg
27.0°C
Winter Avg
25.8°C
Record High
33.9°C
Record Low
20.7°C
Humidity
78%
Precipitation
1719 mm
Internet Speed
165 Mbps
Upload
111 Mbps
Latency
9 ms
City Vibrancy
33
Coworking
0
Cafes
6
Nightlife
19
Parks
8
Transport
0
Walk Score
0
Footways
—
Airport
POS
Distance
37 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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