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Dun-sur-Meuse
City in Meuse, France
Overview
Dun-sur-Meuse is a charming riverside village tucked away in the Meuse region of northeast France. Known for its medieval architecture and tranquil natural setting, it's ideal for travellers seeking local culture and rural relaxation. The town's small population ensures an authentic and peaceful experience.
Geographic Context
Jurisdiction
France
Metropolitan Department
Meuse
Population
590
Time Zone
Europe/Paris
Coordinates
49.38°, 5.18°
Key Metrics
Safety Score · estimate
87
Female Safety
82
LGBTQ+ Safety
74
Traffic Safety
77
Food Safety
95
Monthly Cost · estimate
$1,382
Local Cost
$960
Local Income
$1,800
Cashless
63
English
32
Temperature
9.7°C
Summer Avg
18.0°C
Winter Avg
1.6°C
Record High
40.4°C
Record Low
-16.1°C
Humidity
84%
Precipitation
856 mm
City Vibrancy
3
Coworking
0
Cafes
2
Nightlife
0
Parks
1
Transport
13
Walk Score
13
Footways
26.0
Airport
—
Distance
—
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 2026-03-23.
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: 61/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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