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Kafr Saqr

City in Sharqia, Egypt

Overview

Kafr Saqr is a mid-sized city in Sharqia Governorate, Egypt, blending a lively local atmosphere with traditional Egyptian hospitality. The city features busy markets, historical architecture, and a strong sense of community, making it an authentic place to experience everyday Egyptian life.

Geographic Context

Jurisdiction
Egypt
Governorate
Sharqia
Population
30,333
Time Zone
Africa/Cairo
Coordinates
30.78°, 31.62°

Key Metrics

Safety Score · estimate
60
Female Safety
45
LGBTQ+ Safety
30
Traffic Safety
35
Food Safety
50
Monthly Cost · estimate
$518
Local Cost
$244
Local Income
$190
Cashless
15
English
20
Temperature
22.2°C
Summer Avg
29.1°C
Winter Avg
14.6°C
Record High
46.4°C
Record Low
2.2°C
Humidity
57%
Precipitation
75 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
—
Distance
—

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 2025-12-06.

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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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