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Claret
City in Occitanie, France
Overview
Claret is a charming village in southern France's Occitanie region, set among vineyards and garrigue landscapes. Known for its traditional stone houses, welcoming locals, and artisanal heritage, it offers an authentic rural French experience.
Geographic Context
Jurisdiction
France
Metropolitan Region
Occitanie
Population
1,697
Time Zone
Europe/Paris
Coordinates
43.86°, 3.91°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,792
Local Cost
$1,108
Local Income
$1,900
Cashless
50
English
40
Temperature
12.0°C
Summer Avg
21.3°C
Winter Avg
3.6°C
Record High
40.7°C
Record Low
-12.7°C
Humidity
74%
Precipitation
832 mm
Internet Speed
205 Mbps
Upload
247 Mbps
Latency
8 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
58
Walk Score
58
Footways
115.0
Airport
MPL
Distance
32 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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