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Vendat
City in Auvergne-Rhône-Alpes, France
Overview
Vendat is a tranquil village in the heart of Auvergne-Rhône-Alpes, France, known for its beautiful countryside, friendly locals, and relaxed pace of life. The town offers a genuine slice of rural France, with easy access to the spa city of Vichy just a short drive away.
Geographic Context
Jurisdiction
France
Metropolitan Region
Auvergne-Rhône-Alpes
Population
2,269
Time Zone
Europe/Paris
Coordinates
46.16°, 3.35°
Key Metrics
Safety Score · estimate
93
Female Safety
87
LGBTQ+ Safety
85
Traffic Safety
83
Food Safety
97
Monthly Cost · estimate
$1,732
Local Cost
$1,130
Local Income
$1,800
Cashless
65
English
35
Temperature
10.4°C
Summer Avg
19.1°C
Winter Avg
2.3°C
Record High
39.6°C
Record Low
-15.5°C
Humidity
78%
Precipitation
700 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
23
Walk Score
23
Footways
46.0
Airport
VHY
Distance
4 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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