Verneuil-sur-Vienne
City in Nouvelle-Aquitaine, France
Overview
Verneuil-sur-Vienne is a picturesque small town located west of Limoges in Nouvelle-Aquitaine, France. Known for its welcoming community, riverside location, and scenic landscapes, it offers both rural charm and accessibility to city amenities. The town is ideal for experiencing authentic local life away from the tourist crowds.
Geographic Context
Jurisdiction
France
Metropolitan Region
Nouvelle-Aquitaine
Population
4,940
Time Zone
Europe/Paris
Coordinates
45.86°, 1.10°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
84
Traffic Safety
86
Food Safety
96
Monthly Cost · estimate
$1,500
Local Cost
$1,018
Local Income
$1,850
Cashless
60
English
40
Temperature
11.1°C
Summer Avg
19.1°C
Winter Avg
3.5°C
Record High
40.4°C
Record Low
-14.2°C
Humidity
81%
Precipitation
870 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LIG
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 2025-12-07.
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: 64/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.