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Şlinfah

City in Latakia, Syria

Overview

Şlinfah is a charming mountain resort located in the highlands of Latakia province. Popular for its refreshing summer climate and dense pine forests, the town is a tranquil getaway known for natural beauty and local Syrian hospitality.

Geographic Context

Jurisdiction
Syria
Province
Latakia
Population
1,847
Time Zone
Asia/Damascus
Coordinates
35.60°, 36.19°

Key Metrics

Safety Score · estimate
30
Female Safety
35
LGBTQ+ Safety
10
Traffic Safety
45
Food Safety
40
Monthly Cost · estimate
$470
Local Cost
$241
Local Income
$75
Cashless
10
English
20
Temperature
17.6°C
Summer Avg
26.2°C
Winter Avg
8.3°C
Record High
44.7°C
Record Low
-5.0°C
Humidity
69%
Precipitation
577 mm
Internet Speed
4 Mbps
Upload
1 Mbps
Latency
123 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LTK
Distance
31 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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