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Al Marsá
City in Tunis, Tunisia
Overview
Al Marsá is a charming coastal town near Tunis, celebrated for its sandy beaches, laid-back atmosphere, and blend of French and Tunisian influences. The city offers an inviting mix of seaside relaxation and local tradition, with lively markets and stylish cafes. From family-friendly neighborhoods to lively beachfronts, Al Marsá has something for every visitor.
Geographic Context
Jurisdiction
Tunisia
Governorate
Tunis
Population
—
Time Zone
Africa/Tunis
Coordinates
36.88°, 10.32°
Key Metrics
Safety Score · estimate
62
Female Safety
58
LGBTQ+ Safety
28
Traffic Safety
54
Food Safety
65
Monthly Cost · estimate
$870
Local Cost
$435
Local Income
$320
Cashless
32
English
38
Temperature
19.1°C
Summer Avg
25.5°C
Winter Avg
13.1°C
Record High
39.0°C
Record Low
4.7°C
Humidity
74%
Precipitation
504 mm
Internet Speed
18 Mbps
Upload
6 Mbps
Latency
34 ms
City Vibrancy
88
Coworking
0
Cafes
74
Nightlife
3
Parks
11
Transport
16
Walk Score
16
Footways
32.0
Airport
TUN
Distance
9 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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