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10th of Ramadan

City in Sharqia, Egypt

Overview

10th of Ramadan is a prominent industrial city in Sharqia, Egypt, established as part of the country's expansion to accommodate a growing workforce. It features organized districts, large factories, and residential neighborhoods built to support an active population.

Geographic Context

Jurisdiction
Egypt
Governorate
Sharqia
Population
500,000
Time Zone
Africa/Cairo
Coordinates
30.30°, 31.61°

Key Metrics

Safety Score · estimate
54
Female Safety
41
LGBTQ+ Safety
22
Traffic Safety
37
Food Safety
54
Monthly Cost · estimate
$560
Local Cost
$311
Local Income
$220
Cashless
30
English
31
Temperature
22.1°C
Summer Avg
29.7°C
Winter Avg
13.9°C
Record High
46.7°C
Record Low
1.9°C
Humidity
53%
Precipitation
58 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CAI
Distance
28 km

Data sources

Source-backed data

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.
Overture Maps and OpenStreetMap - 166 source-backed neighborhood entities are available for this city. Record updated 2026-03-21.

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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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