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Mnoungou

City in Grande Comore, Comoros

Overview

Mnoungou is a coastal city on Grande Comore blending urban energy with natural beauty. It offers an authentic Comorian experience with lively markets, tranquil beaches, and rich local culture, all against the backdrop of volcanic landscapes.

Geographic Context

Jurisdiction
Comoros
Island
Grande Comore
Population
—
Time Zone
Indian/Comoro
Coordinates
-11.52°, 43.37°

Key Metrics

Safety Score · estimate
46
Female Safety
35
LGBTQ+ Safety
15
Traffic Safety
55
Food Safety
44
Monthly Cost · estimate
$530
Local Cost
$305
Local Income
$120
Cashless
13
English
20
Temperature
26.8°C
Summer Avg
27.9°C
Winter Avg
25.5°C
Record High
30.0°C
Record Low
23.1°C
Humidity
77%
Precipitation
1019 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HAH
Distance
11 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 2025-12-09.
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: 36/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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