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Saint-Amans-Soult
City in Occitanie, France
Overview
Saint-Amans-Soult is a charming village set in the lush landscapes of the Tarn department in southern France. Known as the birthplace of Marshal Soult, the commune offers a relaxing pace, historic architecture, and easy access to the scenic Thoré Valley.
Geographic Context
Jurisdiction
France
Metropolitan Region
Occitanie
Population
1,524
Time Zone
Europe/Paris
Coordinates
43.48°, 2.49°
Key Metrics
Safety Score · estimate
87
Female Safety
86
LGBTQ+ Safety
76
Traffic Safety
78
Food Safety
92
Monthly Cost · estimate
$1,522
Local Cost
$954
Local Income
$1,600
Cashless
60
English
37
Temperature
12.3°C
Summer Avg
21.0°C
Winter Avg
4.2°C
Record High
40.5°C
Record Low
-12.0°C
Humidity
77%
Precipitation
664 mm
City Vibrancy
6
Coworking
0
Cafes
1
Nightlife
0
Parks
5
Transport
39
Walk Score
39
Footways
78.0
Airport
DCM
Distance
18 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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