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Mao
City in Kanem, Chad
Overview
Mao is the capital of Kanem Region, serving as the economic and administrative hub for northwestern Chad. The city offers a glimpse into traditional Sahelian life, with lively markets, friendly residents, and an authentic atmosphere.
Geographic Context
Jurisdiction
Chad
Province
Kanem
Population
19,004
Time Zone
Africa/Ndjamena
Coordinates
14.12°, 15.31°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
20
Traffic Safety
45
Food Safety
25
Monthly Cost · estimate
$440
Local Cost
$255
Local Income
$70
Cashless
10
English
15
Temperature
28.8°C
Summer Avg
31.8°C
Winter Avg
22.5°C
Record High
45.8°C
Record Low
6.0°C
Humidity
29%
Precipitation
295 mm
Internet Speed
7 Mbps
Upload
9 Mbps
Latency
81 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AMO
Distance
3 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData sources
Source-backed data
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 2025-12-05.
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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