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Saeul
City in Redange, Luxembourg
Overview
Saeul is a picturesque rural commune in the region of Redange, Luxembourg, with a welcoming community of just over 500 residents. Surrounded by rolling hills and lush farmland, the town offers a tranquil escape and authentic Luxembourgish village life.
Geographic Context
Jurisdiction
Luxembourg
Canton
Redange
Population
531
Time Zone
Europe/Luxembourg
Coordinates
49.73°, 5.99°
Key Metrics
Safety Score · estimate
98
Female Safety
97
LGBTQ+ Safety
90
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$2,125
Local Cost
$1,540
Local Income
$3,100
Cashless
70
English
60
Temperature
9.5°C
Summer Avg
18.4°C
Winter Avg
1.1°C
Record High
39.7°C
Record Low
-18.3°C
Humidity
82%
Precipitation
770 mm
Internet Speed
46 Mbps
Upload
26 Mbps
Latency
3 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
1
Parks
4
Transport
13
Walk Score
13
Footways
25.0
Airport
LUX
Distance
20 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 2026-03-23.
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.
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