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Sepvigny
City in Meuse, France
Overview
Sepvigny is a tiny French village set in the Meuse region, known for its serene countryside, traditional stone houses, and rich agricultural heritage. With just 74 residents, it offers a tranquil escape off the beaten path, perfect for those seeking authenticity and calm.
Geographic Context
Jurisdiction
France
Metropolitan Department
Meuse
Population
74
Time Zone
Europe/Paris
Coordinates
48.56°, 5.67°
Key Metrics
Safety Score · estimate
85
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,451
Local Cost
$940
Local Income
$1,700
Cashless
55
English
30
Temperature
9.5°C
Summer Avg
17.9°C
Winter Avg
1.4°C
Record High
38.5°C
Record Low
-17.2°C
Humidity
83%
Precipitation
801 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
EPL
Distance
40 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 2026-03-23.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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