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Akouda

City in Sousse, Tunisia

Overview

Akouda is a laid-back town near Sousse's northern border, blending residential calm with proximity to Tunisia's Mediterranean coast. The city is a gateway between urban Sousse and scenic coastal communities, known for its tranquil vibe and neighborly feel.

Geographic Context

Jurisdiction
Tunisia
Governorate
Sousse
Population
34,494
Time Zone
Africa/Tunis
Coordinates
35.87°, 10.57°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
45
Food Safety
65
Monthly Cost · estimate
$534
Local Cost
$247
Local Income
$180
Cashless
20
English
30
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
10 Mbps
Upload
2 Mbps
Latency
26 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
0
Walk Score
0
Footways
—
Airport
MIR
Distance
21 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 33 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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