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Bagoué
City in Savanes, Ivory Coast
Overview
Bagoué, part of the Savanes region, is a welcoming and lively town with a distinctive local charm, markets, and easy access to the countryside. With its blend of business activity and community life, Bagoué offers an authentic slice of northern Ivory Coast.
Geographic Context
Jurisdiction
Ivory Coast
District
Savanes
Population
—
Time Zone
Africa/Abidjan
Coordinates
9.75°, -6.50°
Key Metrics
Safety Score · estimate
45
Female Safety
35
LGBTQ+ Safety
20
Traffic Safety
40
Food Safety
35
Monthly Cost · estimate
$436
Local Cost
$220
Local Income
$70
Cashless
15
English
10
Temperature
26.9°C
Summer Avg
25.9°C
Winter Avg
26.4°C
Record High
42.3°C
Record Low
10.5°C
Humidity
60%
Precipitation
1115 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BXI
Distance
24 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 2026-03-22.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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