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Sud-Comoé
City in Comoé, Ivory Coast
Overview
Sud-Comoé, in southeastern Ivory Coast, is a region of lush landscapes, lagoons, and scenic coastal towns. It blends rural life with resort destinations, offering visitors an authentic look at Ivorian culture and nature. The region is famed for its beaches, markets, and lively seafood cuisine.
Geographic Context
Jurisdiction
Ivory Coast
District
Comoé
Population
—
Time Zone
Africa/Abidjan
Coordinates
5.50°, -3.24°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
25
Traffic Safety
35
Food Safety
35
Monthly Cost · estimate
$610
Local Cost
$280
Local Income
$85
Cashless
15
English
25
Temperature
26.1°C
Summer Avg
24.6°C
Winter Avg
27.2°C
Record High
37.7°C
Record Low
16.4°C
Humidity
84%
Precipitation
1535 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
ABO
Distance
8 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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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