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Al Adl

City in Makkah, Saudi Arabia

Overview

Al Adl is a residential district within greater Makkah, known for its convenient location, community parks, and access to major city amenities. While not a tourist hub, it offers a glimpse into everyday Saudi life with its local markets, mosques, and neighborhood atmosphere.

Geographic Context

Jurisdiction
Saudi Arabia
Region
Makkah
Population
—
Time Zone
Asia/Riyadh
Coordinates
21.44°, 39.86°

Key Metrics

Safety Score · estimate
10
Female Safety
0
LGBTQ+ Safety
0
Traffic Safety
0
Food Safety
0
Monthly Cost · estimate
$1,245
Local Cost
$685
Local Income
$0
Cashless
0
English
0
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
192 Mbps
Upload
106 Mbps
Latency
10 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
3
Walk Score
3
Footways
6.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 121 tests. 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 2026-03-23.
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: 99/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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