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Ar Rabbah

City in Karak, Jordan

Overview

Ar Rabbah is a small, traditional town in the Karak region of Jordan, known for its rural charm and proximity to the famous Karak Castle. With its relaxed pace, local markets, and historic neighborhoods, it offers visitors an authentic Jordanian experience off the beaten path.

Geographic Context

Jurisdiction
Jordan
Governorate
Karak
Population
—
Time Zone
Asia/Amman
Coordinates
31.27°, 35.74°

Key Metrics

Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
20
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$613
Local Cost
$375
Local Income
$300
Cashless
20
English
35
Temperature
22.1°C
Summer Avg
29.7°C
Winter Avg
13.4°C
Record High
46.8°C
Record Low
-1.0°C
Humidity
52%
Precipitation
187 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MTZ
Distance
34 km

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 2026-03-22.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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