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Les Loges-Marchis
City in Normandie, France
Overview
Les Loges-Marchis is a charming rural commune in Normandie, France, known for its traditional stone houses and peaceful countryside ambiance. This small town of just over 1,000 residents offers a glimpse into authentic village life, surrounded by farmland and historic architecture.
Geographic Context
Jurisdiction
France
Metropolitan Region
Normandie
Population
1,028
Time Zone
Europe/Paris
Coordinates
48.54°, -1.09°
Key Metrics
Safety Score · estimate
95
Female Safety
88
LGBTQ+ Safety
80
Traffic Safety
92
Food Safety
99
Monthly Cost · estimate
$1,466
Local Cost
$970
Local Income
$1,870
Cashless
55
English
28
Temperature
11.1°C
Summer Avg
17.3°C
Winter Avg
5.0°C
Record High
36.7°C
Record Low
-9.8°C
Humidity
84%
Precipitation
728 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
8
Walk Score
8
Footways
15.0
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 2026-03-22.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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