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Magland
City in Auvergne-Rhône-Alpes, France
Overview
Magland is a picturesque village in the Auvergne-Rhône-Alpes region, set in the Arve Valley with beautiful mountain surroundings. Its tranquil atmosphere and traditional charm make it an ideal base to explore the French Alps.
Geographic Context
Jurisdiction
France
Metropolitan Region
Auvergne-Rhône-Alpes
Population
3,242
Time Zone
Europe/Paris
Coordinates
46.02°, 6.62°
Key Metrics
Safety Score · estimate
87
Female Safety
85
LGBTQ+ Safety
82
Traffic Safety
80
Food Safety
93
Monthly Cost · estimate
$1,823
Local Cost
$1,320
Local Income
$2,100
Cashless
60
English
38
Temperature
3.3°C
Summer Avg
12.4°C
Winter Avg
-6.0°C
Record High
28.4°C
Record Low
-29.3°C
Humidity
81%
Precipitation
1149 mm
City Vibrancy
7
Coworking
0
Cafes
1
Nightlife
6
Parks
0
Transport
22
Walk Score
22
Footways
44.0
Airport
MVV
Distance
22 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 2025-12-07.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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