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Al Manshāh
City in Sohag, Egypt
Overview
Al Manshāh is a mid-sized city in Egypt's Sohag governorate, situated on the banks of the Nile. It is known for its agricultural surroundings and a friendly local community, offering authentic Upper Egyptian experiences away from the major tourist crowds.
Geographic Context
Jurisdiction
Egypt
Governorate
Sohag
Population
91,149
Time Zone
Africa/Cairo
Coordinates
26.48°, 31.80°
Key Metrics
Safety Score · estimate
60
Female Safety
30
LGBTQ+ Safety
20
Traffic Safety
40
Food Safety
45
Monthly Cost · estimate
$390
Local Cost
$208
Local Income
$180
Cashless
15
English
20
Temperature
24.2°C
Summer Avg
32.2°C
Winter Avg
14.7°C
Record High
48.4°C
Record Low
-0.2°C
Humidity
30%
Precipitation
2 mm
Internet Speed
19 Mbps
Upload
9 Mbps
Latency
35 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HMB
Distance
17 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 2025-12-06.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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