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Djemmal

City in Monastir, Tunisia

Overview

Djemmal is a small city in Tunisia's Monastir region, known for its rug weaving industry and lively local markets. While less visited by tourists, it offers an authentic glimpse into everyday Tunisian life and traditions.

Geographic Context

Jurisdiction
Tunisia
Governorate
Monastir
Population
—
Time Zone
Africa/Tunis
Coordinates
35.62°, 10.76°

Key Metrics

Safety Score · estimate
68
Female Safety
55
LGBTQ+ Safety
20
Traffic Safety
62
Food Safety
65
Monthly Cost · estimate
$463
Local Cost
$242
Local Income
$180
Cashless
30
English
35
Temperature
19.6°C
Summer Avg
28.0°C
Winter Avg
11.5°C
Record High
46.2°C
Record Low
-1.2°C
Humidity
64%
Precipitation
360 mm
Internet Speed
7 Mbps
Upload
2 Mbps
Latency
23 ms
City Vibrancy
6
Coworking
0
Cafes
3
Nightlife
0
Parks
3
Transport
1
Walk Score
1
Footways
1.0
Airport
MIR
Distance
15 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 14 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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