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Sahline
City in Monastir, Tunisia
Overview
Sahline is a small but charming town near Monastir, renowned for its salt lakes and relaxed local atmosphere. Its proximity to industrial zones and nature gives it a blend of working-class and serene family neighborhoods. Sahline offers authentic Tunisian experiences and is well-connected for exploring nearby coastal cities.
Geographic Context
Jurisdiction
Tunisia
Governorate
Monastir
Population
13,806
Time Zone
Africa/Tunis
Coordinates
35.75°, 10.71°
Key Metrics
Safety Score · estimate
55
Female Safety
40
LGBTQ+ Safety
20
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$617
Local Cost
$287
Local Income
$200
Cashless
20
English
25
Temperature
19.4°C
Summer Avg
26.3°C
Winter Avg
12.8°C
Record High
40.6°C
Record Low
3.5°C
Humidity
70%
Precipitation
401 mm
Internet Speed
7 Mbps
Upload
2 Mbps
Latency
47 ms
City Vibrancy
10
Coworking
0
Cafes
7
Nightlife
0
Parks
3
Transport
1
Walk Score
1
Footways
2.0
Airport
MIR
Distance
4 km
Explore
Data sources
Source-backed data
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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