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Jardin
City in Auvergne-Rhône-Alpes, France
Overview
Jardin is a picturesque village in the Auvergne-Rhône-Alpes region of France, just a short drive from Vienne. The town is known for its tranquil lifestyle, lush orchards, and beautiful landscapes, making it an ideal base for exploring the Rhône Valley.
Geographic Context
Jurisdiction
France
Metropolitan Region
Auvergne-Rhône-Alpes
Population
2,156
Time Zone
Europe/Paris
Coordinates
45.50°, 4.91°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
80
Traffic Safety
93
Food Safety
98
Monthly Cost · estimate
$1,627
Local Cost
$1,040
Local Income
$2,250
Cashless
70
English
37
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
17
Walk Score
17
Footways
33.0
Airport
LYN
Distance
26 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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