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Ksar
City in Nouakchott-Ouest, Mauritania
Overview
Ksar is a lively urban district in Nouakchott, Mauritania, blending administrative importance with local color. It is known for its busy markets, community spirit, and proximity to major city arteries.
Geographic Context
Jurisdiction
Mauritania
Region
Nouakchott-Ouest
Population
—
Time Zone
Africa/Nouakchott
Coordinates
18.10°, -15.96°
Key Metrics
Safety Score · estimate
35
Female Safety
30
LGBTQ+ Safety
20
Traffic Safety
40
Food Safety
35
Monthly Cost · estimate
$800
Local Cost
$330
Local Income
$200
Cashless
20
English
25
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
33 Mbps
Upload
18 Mbps
Latency
17 ms
City Vibrancy
29
Coworking
0
Cafes
16
Nightlife
1
Parks
12
Transport
2
Walk Score
2
Footways
3.0
Airport
NKC
Distance
22 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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