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Salles-Curan
City in Occitanie, France
Overview
Salles-Curan is a picturesque rural commune in southern France, renowned for its proximity to the sparkling Lac de Pareloup and peaceful countryside ambiance. It offers charming stone architecture, local gastronomy, and abundant opportunities for outdoor recreation.
Geographic Context
Jurisdiction
France
Metropolitan Region
Occitanie
Population
1,030
Time Zone
Europe/Paris
Coordinates
44.18°, 2.79°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,532
Local Cost
$988
Local Income
$1,700
Cashless
40
English
25
Temperature
11.3°C
Summer Avg
20.0°C
Winter Avg
3.1°C
Record High
39.7°C
Record Low
-14.8°C
Humidity
78%
Precipitation
700 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
22
Walk Score
22
Footways
44.0
Airport
RDZ
Distance
35 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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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