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As Sayl al Kabir
City in Makkah, Saudi Arabia
Overview
As Sayl al Kabir is a small, rapidly developing city in the Makkah region of Saudi Arabia, noted for its peaceful atmosphere and proximity to natural landscapes. The city offers an authentic glimpse of local Saudi life, with a mix of traditional and modern amenities. Its location makes it a convenient stop for travelers journeying between major regional hubs.
Geographic Context
Jurisdiction
Saudi Arabia
Region
Makkah
Population
—
Time Zone
Asia/Riyadh
Coordinates
21.63°, 40.42°
Key Metrics
Safety Score · estimate
50
Female Safety
30
LGBTQ+ Safety
10
Traffic Safety
40
Food Safety
70
Monthly Cost · estimate
$890
Local Cost
$520
Local Income
$0
Cashless
10
English
20
Temperature
23.9°C
Summer Avg
29.7°C
Winter Avg
17.2°C
Record High
41.8°C
Record Low
1.1°C
Humidity
35%
Precipitation
40 mm
Internet Speed
44 Mbps
Upload
2 Mbps
Latency
30 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TIF
Distance
20 km
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: 90/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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