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Villenauxe-la-Grande
City in Grand-Est, France
Overview
Villenauxe-la-Grande is a picturesque small town in the Champagne countryside, known for its historic streets, lively local markets, and nearby vineyards. It offers a tranquil escape with authentic French charm and easy access to outdoor activities.
Geographic Context
Jurisdiction
France
Metropolitan Region
Grand-Est
Population
2,604
Time Zone
Europe/Paris
Coordinates
48.58°, 3.55°
Key Metrics
Safety Score · estimate
89
Female Safety
87
LGBTQ+ Safety
73
Traffic Safety
90
Food Safety
96
Monthly Cost · estimate
$1,775
Local Cost
$1,000
Local Income
$1,750
Cashless
54
English
27
Temperature
10.8°C
Summer Avg
19.3°C
Winter Avg
2.7°C
Record High
42.8°C
Record Low
-13.1°C
Humidity
82%
Precipitation
698 mm
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
3
Parks
1
Transport
22
Walk Score
22
Footways
43.0
Airport
—
Distance
—
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 2025-12-07.
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: 69/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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