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Velosnes
City in Meuse, France
Overview
Velosnes is a small, charming village in the Meuse region of northeastern France, with only 139 residents. It's known for its peaceful countryside, scenic riverbank, and authentic rural French experience, perfect for relaxation and nature lovers.
Geographic Context
Jurisdiction
France
Metropolitan Department
Meuse
Population
139
Time Zone
Europe/Paris
Coordinates
49.50°, 5.44°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
60
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,360
Local Cost
$830
Local Income
$1,300
Cashless
25
English
30
Temperature
9.2°C
Summer Avg
17.7°C
Winter Avg
1.1°C
Record High
39.5°C
Record Low
-18.1°C
Humidity
84%
Precipitation
842 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
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 2025-12-09.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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