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Kafr Mandā
City in Northern, Israel
Overview
Kafr Mandā is a lively Arab town in the Lower Galilee region of Northern Israel, balancing tradition with modern life. Characterized by its historic stone buildings, lively markets, and scenic hillside, it offers authentic local charm away from tourist crowds.
Geographic Context
Jurisdiction
Israel
District
Northern
Population
20,188
Time Zone
Asia/Jerusalem
Coordinates
32.81°, 35.26°
Key Metrics
Safety Score · estimate
65
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$1,485
Local Cost
$860
Local Income
$1,400
Cashless
35
English
35
Temperature
20.4°C
Summer Avg
25.7°C
Winter Avg
14.6°C
Record High
36.6°C
Record Low
5.2°C
Humidity
71%
Precipitation
558 mm
Internet Speed
124 Mbps
Upload
29 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HFA
Distance
20 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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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