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Iré-le-Sec
City in Meuse, France
Overview
Iré-le-Sec is a tranquil village in the Meuse region of northeastern France, known for its rural charm and picturesque countryside. With a population of just over 150, it offers visitors an authentic taste of small-town French life, ideal for those seeking peace and relaxation.
Geographic Context
Jurisdiction
France
Metropolitan Department
Meuse
Population
151
Time Zone
Europe/Paris
Coordinates
49.47°, 5.37°
Key Metrics
Safety Score · estimate
90
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,312
Local Cost
$880
Local Income
$1,800
Cashless
50
English
20
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
2
Walk Score
2
Footways
4.0
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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