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Saulny
City in Grand-Est, France
Overview
Saulny is a small, welcoming village in the Grand-Est region of France, blending countryside charm with proximity to the larger city of Metz. Its peaceful lanes, local shops, and natural surrounds make it ideal for a tranquil getaway.
Geographic Context
Jurisdiction
France
Metropolitan Region
Grand-Est
Population
1,572
Time Zone
Europe/Paris
Coordinates
49.16°, 6.11°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
96
Monthly Cost · estimate
$1,732
Local Cost
$1,142
Local Income
$1,850
Cashless
60
English
30
Temperature
9.9°C
Summer Avg
18.7°C
Winter Avg
1.4°C
Record High
39.9°C
Record Low
-17.8°C
Humidity
82%
Precipitation
753 mm
Internet Speed
307 Mbps
Upload
151 Mbps
Latency
14 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
31
Walk Score
31
Footways
61.0
Airport
ETZ
Distance
22 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 2025-12-08.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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