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Cansado
City in Dakhlet Nouadhibou, Mauritania
Overview
Cansado is a coastal town in northern Mauritania, built in the 1960s to support mining operations and port activities. Its remote location offers interesting contrasts between industrial hustle and tranquil seaside scenery.
Geographic Context
Jurisdiction
Mauritania
Region
Dakhlet Nouadhibou
Population
—
Time Zone
Africa/Nouakchott
Coordinates
20.85°, -17.03°
Key Metrics
Safety Score · estimate
30
Female Safety
25
LGBTQ+ Safety
20
Traffic Safety
40
Food Safety
30
Monthly Cost · estimate
$630
Local Cost
$375
Local Income
$80
Cashless
10
English
10
Temperature
22.3°C
Summer Avg
24.7°C
Winter Avg
19.1°C
Record High
40.8°C
Record Low
9.3°C
Humidity
64%
Precipitation
40 mm
Internet Speed
25 Mbps
Upload
12 Mbps
Latency
9 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
2.0
Airport
NDB
Distance
9 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: 56/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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