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Sebkha
City in Nouakchott-Ouest, Mauritania
Overview
Sebkha is a densely populated neighborhood in Nouakchott-Ouest, Mauritania, known for its lively markets, authentic street life, and diverse communities. A hub of commerce and everyday Mauritanian culture, Sebkha provides a real local experience for the adventurous traveler.
Geographic Context
Jurisdiction
Mauritania
Region
Nouakchott-Ouest
Population
—
Time Zone
Africa/Nouakchott
Coordinates
18.08°, -16.00°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
20
Traffic Safety
30
Food Safety
40
Monthly Cost · estimate
$610
Local Cost
$320
Local Income
$220
Cashless
15
English
20
Temperature
23.5°C
Summer Avg
25.8°C
Winter Avg
20.4°C
Record High
36.5°C
Record Low
12.3°C
Humidity
68%
Precipitation
150 mm
Internet Speed
12 Mbps
Upload
8 Mbps
Latency
28 ms
City Vibrancy
22
Coworking
0
Cafes
5
Nightlife
6
Parks
11
Transport
5
Walk Score
5
Footways
9.0
Airport
NKC
Distance
25 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 2026-03-23.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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