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Djebeniana

City in Sfax, Tunisia

Overview

Djebeniana is a small market town in the Sfax region, known for its agricultural lands and friendly atmosphere. The town offers an authentic Tunisian experience, away from the bustle of large cities, with welcoming locals and easy access to regional products.

Geographic Context

Jurisdiction
Tunisia
Governorate
Sfax
Population
—
Time Zone
Africa/Tunis
Coordinates
35.03°, 10.91°

Key Metrics

Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
20
Traffic Safety
55
Food Safety
75
Monthly Cost · estimate
$534
Local Cost
$267
Local Income
$230
Cashless
25
English
25
Temperature
19.7°C
Summer Avg
27.9°C
Winter Avg
11.6°C
Record High
45.0°C
Record Low
-0.4°C
Humidity
64%
Precipitation
301 mm
Internet Speed
9 Mbps
Upload
1 Mbps
Latency
40 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
1
Walk Score
1
Footways
1.0
Airport
SFA
Distance
41 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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