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Lemta
City in Monastir, Tunisia
Overview
Lemta is a coastal town in Monastir Governorate, Tunisia, offering a slow-paced Mediterranean atmosphere with historical roots and scenic beaches. The city is popular for local markets, community life, and its peaceful seaside promenade. Lemta is less touristy than major Tunisian cities, making it ideal for travelers seeking authenticity.
Geographic Context
Jurisdiction
Tunisia
Governorate
Monastir
Population
—
Time Zone
Africa/Tunis
Coordinates
35.67°, 10.88°
Key Metrics
Safety Score · estimate
70
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
65
Food Safety
60
Monthly Cost · estimate
$495
Local Cost
$285
Local Income
$250
Cashless
20
English
30
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
10 Mbps
Upload
2 Mbps
Latency
22 ms
City Vibrancy
25
Coworking
0
Cafes
25
Nightlife
0
Parks
0
Transport
10
Walk Score
10
Footways
20.0
Airport
MIR
Distance
16 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 2026-03-21.
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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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