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Al Mithnab

City in Al-Qassim, Saudi Arabia

Overview

Al Mithnab is a mid-sized city set in the heart of Al-Qassim, Saudi Arabia, offering a traditional Saudi experience and a welcoming atmosphere. With its blend of quiet neighborhoods and a lively city center, it is the perfect place to experience authentic local culture.

Geographic Context

Jurisdiction
Saudi Arabia
Region
Al-Qassim
Population
59,376
Time Zone
Asia/Riyadh
Coordinates
25.86°, 44.22°

Key Metrics

Safety Score · estimate
75
Female Safety
40
LGBTQ+ Safety
10
Traffic Safety
55
Food Safety
80
Monthly Cost · estimate
$772
Local Cost
$447
Local Income
$800
Cashless
65
English
30
Temperature
25.3°C
Summer Avg
34.8°C
Winter Avg
14.5°C
Record High
47.3°C
Record Low
-5.4°C
Humidity
24%
Precipitation
29 mm
Internet Speed
165 Mbps
Upload
92 Mbps
Latency
17 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 tests. 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 2025-12-06.

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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