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Mallawī
City in Minya, Egypt
Overview
Mallawī is a lively city in Egypt's Minya Governorate, serving as a commercial and transportation hub in Upper Egypt. Known for its traditional markets and proximity to ancient archaeological sites, it offers visitors an authentic local experience.
Geographic Context
Jurisdiction
Egypt
Governorate
Minya
Population
—
Time Zone
Africa/Cairo
Coordinates
27.73°, 30.84°
Key Metrics
Safety Score · estimate
50
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
60
Monthly Cost · estimate
$342
Local Cost
$210
Local Income
$180
Cashless
25
English
20
Temperature
22.6°C
Summer Avg
30.8°C
Winter Avg
13.1°C
Record High
47.1°C
Record Low
-1.1°C
Humidity
37%
Precipitation
7 mm
Internet Speed
28 Mbps
Upload
6 Mbps
Latency
17 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
EMY
Distance
42 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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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