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Qaţanā

City in Rif Dimashq, Syria

Overview

Qaţanā is a small city in Rif Dimashq Governorate, Syria, surrounded by hills and rich with traditional Syrian culture. Its compact city center offers local markets, friendly community vibes, and easy access to countryside landscapes.

Geographic Context

Jurisdiction
Syria
Province
Rif Dimashq
Population
22,831
Time Zone
Asia/Damascus
Coordinates
33.44°, 36.08°

Key Metrics

Safety Score · estimate
30
Female Safety
20
LGBTQ+ Safety
5
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$580
Local Cost
$311
Local Income
$65
Cashless
10
English
20
Temperature
15.8°C
Summer Avg
25.4°C
Winter Avg
6.0°C
Record High
41.9°C
Record Low
-10.4°C
Humidity
53%
Precipitation
286 mm
Internet Speed
3 Mbps
Upload
0 Mbps
Latency
137 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
DAM
Distance
40 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 12 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 2025-12-05.

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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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