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Lovagny
City in Auvergne-Rhône-Alpes, France
Overview
Lovagny is a picturesque village in the Auvergne-Rhône-Alpes region, renowned for its medieval Château de Montrottier and lush riverside settings. Its quiet charm and proximity to Annecy make it an excellent retreat for those looking to experience authentic rural France.
Geographic Context
Jurisdiction
France
Metropolitan Region
Auvergne-Rhône-Alpes
Population
1,297
Time Zone
Europe/Paris
Coordinates
45.90°, 6.03°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$2,036
Local Cost
$1,274
Local Income
$2,150
Cashless
55
English
35
Temperature
8.9°C
Summer Avg
17.9°C
Winter Avg
-0.2°C
Record High
35.8°C
Record Low
-21.6°C
Humidity
77%
Precipitation
1106 mm
City Vibrancy
3
Coworking
0
Cafes
1
Nightlife
0
Parks
2
Transport
45
Walk Score
45
Footways
89.0
Airport
NCY
Distance
6 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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