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Ar Ramthā
City in Irbid, Jordan
Overview
Ar Ramthā is a lively city in northern Jordan, close to the Syrian border, known for its thriving trade, lively markets, and welcoming local community. While less visited by international tourists, the city offers authentic Jordanian experiences and rich traditional culture.
Geographic Context
Jurisdiction
Jordan
Governorate
Irbid
Population
155,693
Time Zone
Asia/Amman
Coordinates
32.56°, 36.01°
Key Metrics
Safety Score · estimate
55
Female Safety
40
LGBTQ+ Safety
25
Traffic Safety
40
Food Safety
60
Monthly Cost · estimate
$719
Local Cost
$405
Local Income
$400
Cashless
35
English
30
Temperature
17.8°C
Summer Avg
25.8°C
Winter Avg
8.8°C
Record High
44.7°C
Record Low
-6.5°C
Humidity
55%
Precipitation
207 mm
Internet Speed
20 Mbps
Upload
6 Mbps
Latency
20 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
OMF
Distance
33 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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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