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Al Masfalah
City in Makkah, Saudi Arabia
Overview
Al Masfalah is a central district in Makkah, located near the holiest mosque in Islam and busy with pilgrims year-round. The area combines history, culture, and modern conveniences, making it a unique destination for religious, cultural, and local experiences. While primarily a hub for pilgrims, it also offers a glimpse into everyday Saudi life.
Geographic Context
Jurisdiction
Saudi Arabia
Region
Makkah
Population
—
Time Zone
Asia/Riyadh
Coordinates
21.42°, 39.82°
Key Metrics
Safety Score · estimate
70
Female Safety
25
LGBTQ+ Safety
15
Traffic Safety
40
Food Safety
85
Monthly Cost · estimate
$930
Local Cost
$500
Local Income
$950
Cashless
70
English
30
Temperature
29.0°C
Summer Avg
34.3°C
Winter Avg
22.3°C
Record High
48.7°C
Record Low
7.6°C
Humidity
34%
Precipitation
37 mm
Internet Speed
53 Mbps
Upload
21 Mbps
Latency
57 ms
City Vibrancy
12
Coworking
0
Cafes
9
Nightlife
0
Parks
3
Transport
60
Walk Score
60
Footways
119.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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 2026-03-23.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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