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Aflah Ash Shawm
City in Hajjah, Yemen
Overview
Aflah Ash Shawm is a growing city in the Hajjah region of Yemen, known for its lively markets, scenic landscapes, and traditional Yemeni hospitality. While modern conveniences are limited, the city offers visitors an authentic glimpse into rural Yemeni life.
Geographic Context
Jurisdiction
Yemen
Governorate
Hajjah
Population
54,054
Time Zone
Asia/Aden
Coordinates
16.05°, 43.41°
Key Metrics
Safety Score · estimate
20
Female Safety
25
LGBTQ+ Safety
10
Traffic Safety
35
Food Safety
30
Monthly Cost · estimate
$308
Local Cost
$172
Local Income
$70
Cashless
10
English
10
Temperature
30.3°C
Summer Avg
33.6°C
Winter Avg
25.9°C
Record High
47.0°C
Record Low
16.5°C
Humidity
48%
Precipitation
71 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
EAB
Distance
26 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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