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Kafr Kannā
City in Northern, Israel
Overview
Kafr Kannā is a lively small city in Northern Israel, famed for its religious significance in Christian tradition and known for its warm local hospitality. Visitors can explore ancient landmarks, busy markets, and sample authentic Arab-Israeli cuisine.
Geographic Context
Jurisdiction
Israel
District
Northern
Population
23,000
Time Zone
Asia/Jerusalem
Coordinates
32.75°, 35.34°
Key Metrics
Safety Score · estimate
52
Female Safety
48
LGBTQ+ Safety
30
Traffic Safety
50
Food Safety
82
Monthly Cost · estimate
$1,809
Local Cost
$1,070
Local Income
$1,700
Cashless
45
English
38
Temperature
20.4°C
Summer Avg
28.1°C
Winter Avg
11.8°C
Record High
48.9°C
Record Low
-3.8°C
Humidity
61%
Precipitation
371 mm
Internet Speed
178 Mbps
Upload
27 Mbps
Latency
10 ms
City Vibrancy
8
Coworking
0
Cafes
1
Nightlife
0
Parks
7
Transport
0
Walk Score
0
Footways
—
Airport
HFA
Distance
29 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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