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Tonkpi
City in Montagnes, Ivory Coast
Overview
Tonkpi, located in the Montagnes district in western Ivory Coast, is a scenic and culturally rich region known for its lush green hills, picturesque waterfalls, and lively markets. The area is popular for ecotourism and provides an authentic Ivorian experience away from busy urban centers.
Geographic Context
Jurisdiction
Ivory Coast
District
Montagnes
Population
—
Time Zone
Africa/Abidjan
Coordinates
7.57°, -7.61°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
20
Traffic Safety
45
Food Safety
30
Monthly Cost · estimate
$455
Local Cost
$222
Local Income
$85
Cashless
20
English
15
Temperature
24.7°C
Summer Avg
23.8°C
Winter Avg
24.6°C
Record High
39.0°C
Record Low
11.6°C
Humidity
77%
Precipitation
1662 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MJC
Distance
33 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: 42/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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