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Disūq
City in Kafr El-Sheikh, Egypt
Overview
Disūq is a midsize city in Egypt's Kafr El-Sheikh region, set on the banks of the Nile. Known for its peaceful pace and authentic local culture, it offers glimpses of rural and urban Egyptian life.
Geographic Context
Jurisdiction
Egypt
Governorate
Kafr El-Sheikh
Population
—
Time Zone
Africa/Cairo
Coordinates
31.13°, 30.65°
Key Metrics
Safety Score · estimate
55
Female Safety
40
LGBTQ+ Safety
20
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$466
Local Cost
$218
Local Income
$150
Cashless
15
English
20
Temperature
21.9°C
Summer Avg
28.7°C
Winter Avg
14.3°C
Record High
46.9°C
Record Low
2.8°C
Humidity
59%
Precipitation
99 mm
Internet Speed
24 Mbps
Upload
6 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
17
Walk Score
17
Footways
34.0
Airport
—
Distance
—
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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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