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Kafr Kammā
City in Northern, Israel
Overview
Kafr Kammā is a picturesque village in Israel's Northern District, best known for its Circassian heritage and welcoming atmosphere. Visitors can explore unique museums, traditional stone houses, and enjoy the scenic rural landscape.
Geographic Context
Jurisdiction
Israel
District
Northern
Population
—
Time Zone
Asia/Jerusalem
Coordinates
32.72°, 35.44°
Key Metrics
Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
45
Traffic Safety
70
Food Safety
85
Monthly Cost · estimate
$1,560
Local Cost
$1,050
Local Income
$1,600
Cashless
55
English
30
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
418 Mbps
Upload
105 Mbps
Latency
11 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
2
Walk Score
2
Footways
3.0
Airport
RPN
Distance
31 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 2025-12-09.
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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