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Kédange-sur-Canner
City in Grand-Est, France
Overview
Kédange-sur-Canner is a small, picturesque commune in Grand-Est, France, set along the tranquil Canner river. With fewer than 1,100 residents, the town offers a peaceful rural atmosphere, charming architecture, and easy access to outdoor activities.
Geographic Context
Jurisdiction
France
Metropolitan Region
Grand-Est
Population
1,060
Time Zone
Europe/Paris
Coordinates
49.31°, 6.34°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,592
Local Cost
$1,110
Local Income
$1,800
Cashless
55
English
25
Temperature
9.5°C
Summer Avg
18.4°C
Winter Avg
1.1°C
Record High
39.7°C
Record Low
-18.3°C
Humidity
82%
Precipitation
770 mm
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
18
Walk Score
18
Footways
35.0
Airport
LUX
Distance
36 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 2025-12-08.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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