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’Elb el Jmel
City in Brakna, Mauritania
Overview
Elb el Jmel is a modest town in the Brakna region of southern Mauritania, known for its authentic Saharan charm and peaceful atmosphere. It is built around local life, blending rural traditions and basic urban amenities. The city offers a glimpse into Mauritania's resilient communities amidst the desert landscape.
Geographic Context
Jurisdiction
Mauritania
Region
Brakna
Population
—
Time Zone
Africa/Nouakchott
Coordinates
17.01°, -13.97°
Key Metrics
Safety Score · estimate
40
Female Safety
30
LGBTQ+ Safety
10
Traffic Safety
25
Food Safety
35
Monthly Cost · estimate
$451
Local Cost
$243
Local Income
$70
Cashless
10
English
15
Temperature
29.3°C
Summer Avg
32.8°C
Winter Avg
23.6°C
Record High
47.2°C
Record Low
8.9°C
Humidity
31%
Precipitation
254 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BGH
Distance
48 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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 2026-03-21.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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