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Saint-Laurent-de-Veyrès
City in Lozère, France
Overview
Saint-Laurent-de-Veyrès is a tiny, scenic village set in the Lozère region of southern France, with a population of just 34. Its surroundings offer tranquil rural landscapes, traditional stone architecture, and excellent opportunities for hiking and nature watching.
Geographic Context
Jurisdiction
France
Metropolitan Department
Lozère
Population
34
Time Zone
Europe/Paris
Coordinates
44.77°, 3.08°
Key Metrics
Safety Score · estimate
95
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$392
Local Cost
$360
Local Income
$1,700
Cashless
30
English
15
Temperature
8.2°C
Summer Avg
16.6°C
Winter Avg
0.2°C
Record High
36.4°C
Record Low
-17.6°C
Humidity
81%
Precipitation
822 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
MEN
Distance
46 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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