Arzenc-de-Randon
City in Lozère, France
Overview
Arzenc-de-Randon is a charming rural commune set in the heart of Lozère, France. With a tiny population, it offers visitors a peaceful retreat surrounded by forests and rolling hills, ideal for outdoor activities. The village preserves an authentic atmosphere with local traditions and natural scenery.
Geographic Context
Jurisdiction
France
Metropolitan Department
Lozère
Population
189
Time Zone
Europe/Paris
Coordinates
44.66°, 3.44°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,462
Local Cost
$952
Local Income
$1,500
Cashless
40
English
25
Temperature
8.9°C
Summer Avg
17.6°C
Winter Avg
0.9°C
Record High
37.8°C
Record Low
-15.8°C
Humidity
79%
Precipitation
901 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
MEN
Distance
19 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 2025-12-09.
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 2026-03-23.
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.