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Sablons
City in Auvergne Rhone Alpes, France
Overview
Sablons is a tranquil village in southwestern France, renowned for its riverside setting, close-knit community, and access to local vineyards. Visitors enjoy a charming, authentic French rural experience away from the crowds of major tourist spots.
Geographic Context
Jurisdiction
France
Metropolitan Region
Auvergne Rhone Alpes
Population
1,315
Time Zone
Europe/Paris
Coordinates
45.32°, 4.77°
Key Metrics
Safety Score · estimate
85
Female Safety
78
LGBTQ+ Safety
60
Traffic Safety
72
Food Safety
95
Monthly Cost · estimate
$1,515
Local Cost
$1,010
Local Income
$1,700
Cashless
55
English
25
Temperature
10.7°C
Summer Avg
19.7°C
Winter Avg
2.0°C
Record High
39.3°C
Record Low
-14.5°C
Humidity
79%
Precipitation
786 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
31
Walk Score
31
Footways
62.0
Airport
GNB
Distance
44 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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