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Settat

City in Casablanca-Settat, Morocco

Overview

Settat is a mid-sized Moroccan city located between Casablanca and Marrakech. Known for its university and agricultural heritage, Settat offers an authentic local experience away from typical tourist routes.

Geographic Context

Jurisdiction
Morocco
Region
Casablanca-Settat
Population
171,556
Time Zone
Africa/Casablanca
Coordinates
33.00°, -7.62°

Key Metrics

Safety Score · estimate
55
Female Safety
46
LGBTQ+ Safety
27
Traffic Safety
52
Food Safety
54
Monthly Cost · estimate
$617
Local Cost
$280
Local Income
$290
Cashless
41
English
25
Temperature
18.5°C
Summer Avg
25.5°C
Winter Avg
11.6°C
Record High
47.2°C
Record Low
-4.2°C
Humidity
65%
Precipitation
441 mm
Internet Speed
31 Mbps
Upload
27 Mbps
Latency
40 ms
City Vibrancy
142
Coworking
0
Cafes
49
Nightlife
0
Parks
93
Transport
0
Walk Score
0
Footways
—
Airport
CMN
Distance
41 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 133 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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 2026-03-22.
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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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