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Dun-le-Palestel
City in Nouvelle-Aquitaine, France
Overview
Dun-le-Palestel is a tranquil rural village in Nouvelle-Aquitaine, France, beloved for its traditional stone houses, weekly markets, and proximity to scenic countryside. It offers an authentic taste of French village life with local charm and friendly residents.
Geographic Context
Jurisdiction
France
Metropolitan Region
Nouvelle-Aquitaine
Population
1,086
Time Zone
Europe/Paris
Coordinates
46.30°, 1.67°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,517
Local Cost
$1,000
Local Income
$1,600
Cashless
35
English
30
Temperature
11.2°C
Summer Avg
19.4°C
Winter Avg
3.4°C
Record High
41.2°C
Record Low
-13.9°C
Humidity
81%
Precipitation
784 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
16
Walk Score
16
Footways
32.0
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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