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Al Mashannah
City in Ibb, Yemen
Overview
Al Mashannah, a district within the lush Ibb region, offers an authentic Yemeni city experience with its lively markets, hospitality, and scenic landscapes. The city is less touristy, making it ideal for visitors seeking genuine local culture and traditional charm.
Geographic Context
Jurisdiction
Yemen
Governorate
Ibb
Population
101,148
Time Zone
Asia/Aden
Coordinates
13.96°, 44.17°
Key Metrics
Safety Score · estimate
30
Female Safety
25
LGBTQ+ Safety
10
Traffic Safety
35
Food Safety
40
Monthly Cost · estimate
$503
Local Cost
$253
Local Income
$70
Cashless
10
English
10
Temperature
20.2°C
Summer Avg
23.5°C
Winter Avg
16.6°C
Record High
34.9°C
Record Low
2.5°C
Humidity
45%
Precipitation
171 mm
Internet Speed
15 Mbps
Upload
9 Mbps
Latency
58 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TAI
Distance
30 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 2025-12-05.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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