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Granges-sur-Vologne
City in Grand-Est, France
Overview
Granges-sur-Vologne is a picturesque village in the Vosges mountains, known for its proximity to forests, rivers, and outdoor adventure. Tranquil and authentically French, it's ideal for travelers seeking rural charm, nature, and local flavors.
Geographic Context
Jurisdiction
France
Metropolitan Region
Grand-Est
Population
—
Time Zone
Europe/Paris
Coordinates
48.15°, 6.79°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
55
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,552
Local Cost
$892
Local Income
$1,600
Cashless
60
English
30
Temperature
9.0°C
Summer Avg
17.7°C
Winter Avg
0.4°C
Record High
38.3°C
Record Low
-18.0°C
Humidity
83%
Precipitation
931 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
11
Walk Score
11
Footways
22.0
Airport
CMR
Distance
42 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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