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Cheniménil
City in Grand-Est, France
Overview
Cheniménil is a small, tranquil commune in the Grand-Est region of France known for its lush countryside, charming village life, and proximity to the scenic Vosges mountains. It offers visitors an authentic rural French experience away from large city crowds.
Geographic Context
Jurisdiction
France
Metropolitan Region
Grand-Est
Population
1,227
Time Zone
Europe/Paris
Coordinates
48.14°, 6.60°
Key Metrics
Safety Score · estimate
85
Female Safety
82
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,622
Local Cost
$950
Local Income
$1,850
Cashless
65
English
35
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
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
22
Walk Score
22
Footways
43.0
Airport
EPL
Distance
45 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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