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Lunel-Viel
City in Occitanie, France
Overview
Lunel-Viel is a quaint village in Occitanie, southern France, known for its friendly community, historic charm, and proximity to the Mediterranean coast. It's an excellent base for exploring the Languedoc wine region and enjoying a slower-paced French lifestyle.
Geographic Context
Jurisdiction
France
Metropolitan Region
Occitanie
Population
4,497
Time Zone
Europe/Paris
Coordinates
43.68°, 4.09°
Key Metrics
Safety Score · estimate
68
Female Safety
70
LGBTQ+ Safety
63
Traffic Safety
78
Food Safety
92
Monthly Cost · estimate
$1,792
Local Cost
$1,100
Local Income
$1,900
Cashless
74
English
30
Temperature
15.7°C
Summer Avg
23.7°C
Winter Avg
8.2°C
Record High
40.3°C
Record Low
-5.4°C
Humidity
72%
Precipitation
546 mm
Internet Speed
273 Mbps
Upload
219 Mbps
Latency
24 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
80
Walk Score
80
Footways
159.0
Airport
MPL
Distance
15 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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