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Bayt al Faqīh
City in Al Hudaydah, Yemen
Overview
Bayt al Faqīh is a historic city in Yemen's Al Hudaydah governorate, renowned for its traditional market and deep-rooted coffee trading history. Its old town atmosphere, busy souks, and local way of life provide an authentic Yemeni experience for visitors willing to make the journey.
Geographic Context
Jurisdiction
Yemen
Governorate
Al Hudaydah
Population
—
Time Zone
Asia/Aden
Coordinates
14.49°, 43.28°
Key Metrics
Safety Score · estimate
15
Female Safety
20
LGBTQ+ Safety
10
Traffic Safety
40
Food Safety
25
Monthly Cost · estimate
$360
Local Cost
$195
Local Income
$80
Cashless
5
English
10
Temperature
29.9°C
Summer Avg
32.7°C
Winter Avg
26.2°C
Record High
39.7°C
Record Low
19.1°C
Humidity
59%
Precipitation
292 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HOD
Distance
44 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 2025-12-09.
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 2026-03-22.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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