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Mengomeyén
City in Djibloho, Equatorial Guinea
Overview
Mengomeyén is a small, orderly city in Djibloho, Equatorial Guinea, known for its administrative importance and modern infrastructure. As one of the newest cities in the country, it is characterized by broad streets, government buildings, and welcoming local communities.
Geographic Context
Jurisdiction
Equatorial Guinea
Province
Djibloho
Population
15,644
Time Zone
Africa/Malabo
Coordinates
1.68°, 10.90°
Key Metrics
Safety Score · estimate
50
Female Safety
35
LGBTQ+ Safety
20
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$1,050
Local Cost
$500
Local Income
$350
Cashless
15
English
20
Temperature
23.1°C
Summer Avg
22.4°C
Winter Avg
23.6°C
Record High
34.6°C
Record Low
16.9°C
Humidity
90%
Precipitation
1978 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GEM
Distance
14 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 2025-12-06.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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