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Shahbā

City in As-Suwayda, Syria

Overview

Shahbā is a small city in southern Syria, best known for its impressive Roman ruins and tranquil, local atmosphere. With a warm community and a blend of ancient and contemporary life, it offers visitors a unique window into the region's rich history.

Geographic Context

Jurisdiction
Syria
Province
As-Suwayda
Population
14,784
Time Zone
Asia/Damascus
Coordinates
32.86°, 36.63°

Key Metrics

Safety Score · estimate
40
Female Safety
35
LGBTQ+ Safety
10
Traffic Safety
45
Food Safety
30
Monthly Cost · estimate
$377
Local Cost
$205
Local Income
$70
Cashless
15
English
18
Temperature
17.8°C
Summer Avg
26.8°C
Winter Avg
8.0°C
Record High
45.8°C
Record Low
-7.1°C
Humidity
50%
Precipitation
122 mm
Internet Speed
20 Mbps
Upload
12 Mbps
Latency
105 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 3 tests. Record updated 2025-12-06.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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