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Saint-Léger-de-Montbrun
City in Nouvelle-Aquitaine, France
Overview
Saint-Léger-de-Montbrun is a small, peaceful village in Nouvelle-Aquitaine, France, known for its rural charm, historic center, and scenic countryside. With its friendly community and tranquil vibe, it's ideal for visitors looking to experience authentic French village life.
Geographic Context
Jurisdiction
France
Metropolitan Region
Nouvelle-Aquitaine
Population
1,257
Time Zone
Europe/Paris
Coordinates
47.00°, -0.13°
Key Metrics
Safety Score · estimate
85
Female Safety
78
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,498
Local Cost
$940
Local Income
$1,700
Cashless
60
English
35
Temperature
11.7°C
Summer Avg
19.2°C
Winter Avg
4.6°C
Record High
41.3°C
Record Low
-12.2°C
Humidity
82%
Precipitation
726 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 2025-12-08.
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: 56/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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