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Forécariah
City in Kindia, Guinea
Overview
Forécariah is a small, welcoming town in the Kindia region of western Guinea, known for its local markets, riverside scenery, and easygoing atmosphere. Visitors can experience authentic Guinean culture, interact with friendly locals, and enjoy affordable living.
Geographic Context
Jurisdiction
Guinea
Administrative Region
Kindia
Population
23,010
Time Zone
Africa/Conakry
Coordinates
9.43°, -13.09°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
20
Traffic Safety
30
Food Safety
30
Monthly Cost · estimate
$510
Local Cost
$172
Local Income
$60
Cashless
5
English
10
Temperature
26.4°C
Summer Avg
25.0°C
Winter Avg
26.6°C
Record High
41.2°C
Record Low
13.7°C
Humidity
76%
Precipitation
2941 mm
City Vibrancy
11
Coworking
0
Cafes
7
Nightlife
4
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
—
Distance
—
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 2025-12-06.
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: 38/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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