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Şakhrah
City in Ajloun, Jordan
Overview
Şakhrah is a small town in Ajloun, northern Jordan, surrounded by lush hills and olive groves. Its traditional atmosphere and proximity to historical sites make it an authentic stop for travelers exploring the region.
Geographic Context
Jurisdiction
Jordan
Governorate
Ajloun
Population
—
Time Zone
Asia/Amman
Coordinates
32.37°, 35.84°
Key Metrics
Safety Score · estimate
62
Female Safety
52
LGBTQ+ Safety
30
Traffic Safety
55
Food Safety
68
Monthly Cost · estimate
$650
Local Cost
$390
Local Income
$500
Cashless
25
English
30
Temperature
20.4°C
Summer Avg
28.1°C
Winter Avg
11.8°C
Record High
48.9°C
Record Low
-3.8°C
Humidity
61%
Precipitation
371 mm
Internet Speed
16 Mbps
Upload
6 Mbps
Latency
20 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
OMF
Distance
39 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 2026-03-21.
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: 37/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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