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Sarralbe
City in Grand-Est, France
Overview
Sarralbe is a charming small town in the Moselle department of Grand-Est, France, known for its tranquil canals, friendly community, and traditional Alsace-Lorraine heritage. Its peaceful pace and scenic walks provide a relaxing retreat from urban crowds.
Geographic Context
Jurisdiction
France
Metropolitan Region
Grand-Est
Population
4,386
Time Zone
Europe/Paris
Coordinates
49.00°, 7.03°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,687
Local Cost
$1,040
Local Income
$1,850
Cashless
65
English
35
Temperature
9.8°C
Summer Avg
18.8°C
Winter Avg
1.2°C
Record High
38.8°C
Record Low
-18.0°C
Humidity
82%
Precipitation
761 mm
Internet Speed
239 Mbps
Upload
189 Mbps
Latency
21 ms
City Vibrancy
9
Coworking
0
Cafes
4
Nightlife
1
Parks
4
Transport
35
Walk Score
35
Footways
70.0
Airport
SCN
Distance
25 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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