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Le Fleix
City in Nouvelle-Aquitaine, France
Overview
Le Fleix is a picturesque village in Nouvelle-Aquitaine, France, known for its riverside charm and wine country ambiance. With a small population and scenic surroundings, it's a peaceful base to explore the Dordogne Valley and enjoy authentic rural French life.
Geographic Context
Jurisdiction
France
Metropolitan Region
Nouvelle-Aquitaine
Population
1,498
Time Zone
Europe/Paris
Coordinates
44.87°, 0.25°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,690
Local Cost
$1,082
Local Income
$1,700
Cashless
40
English
35
Temperature
13.0°C
Summer Avg
21.1°C
Winter Avg
5.3°C
Record High
42.3°C
Record Low
-11.6°C
Humidity
79%
Precipitation
758 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
7
Walk Score
7
Footways
14.0
Airport
EGC
Distance
22 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 2025-12-08.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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