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Ongoni
City in Anjouan, Comoros
Overview
Ongoni is a small coastal town on Anjouan island in the Comoros, known for its laid-back atmosphere, traditional markets, and scenic seaside. Its compact size makes it easy to explore, letting travelers experience authentic island life and warm hospitality.
Geographic Context
Jurisdiction
Comoros
Island
Anjouan
Population
2,058
Time Zone
Indian/Comoro
Coordinates
-12.17°, 44.51°
Key Metrics
Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
25
Traffic Safety
45
Food Safety
40
Monthly Cost · estimate
$507
Local Cost
$252
Local Income
$90
Cashless
10
English
15
Temperature
26.8°C
Summer Avg
27.8°C
Winter Avg
25.5°C
Record High
30.1°C
Record Low
23.0°C
Humidity
77%
Precipitation
1002 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AJN
Distance
9 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 2025-12-08.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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