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Diang

City in Littoral, Cameroon

Overview

Diang is a small, close-knit town in Cameroon's Littoral region, known for its lively market, friendly locals, and scenic natural surroundings. Its compact size makes it easy to explore on foot, offering visitors an authentic slice of rural Cameroonian life.

Geographic Context

Jurisdiction
Cameroon
Region
Littoral
Population
2,062
Time Zone
Africa/Douala
Coordinates
4.25°, 10.02°

Key Metrics

Safety Score · estimate
50
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
40
Monthly Cost · estimate
$395
Local Cost
$180
Local Income
$90
Cashless
15
English
25
Temperature
24.8°C
Summer Avg
24.0°C
Winter Avg
25.2°C
Record High
36.5°C
Record Low
14.4°C
Humidity
88%
Precipitation
3036 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DLA
Distance
42 km

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 2025-12-08.
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: 44/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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