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Bettendorf
City in Diekirch, Luxembourg
Overview
Bettendorf is a charming small town in northern Luxembourg's Diekirch region, set among rolling hills and the Moselle river. It offers a tranquil, community-oriented atmosphere with scenic countryside, local heritage, and a relaxed pace of life.
Geographic Context
Jurisdiction
Luxembourg
Canton
Diekirch
Population
3,094
Time Zone
Europe/Luxembourg
Coordinates
49.88°, 6.22°
Key Metrics
Safety Score · estimate
96
Female Safety
94
LGBTQ+ Safety
88
Traffic Safety
92
Food Safety
99
Monthly Cost · estimate
$2,692
Local Cost
$1,595
Local Income
$3,300
Cashless
85
English
82
Temperature
8.6°C
Summer Avg
17.0°C
Winter Avg
0.4°C
Record High
38.6°C
Record Low
-20.5°C
Humidity
84%
Precipitation
837 mm
Internet Speed
355 Mbps
Upload
190 Mbps
Latency
5 ms
City Vibrancy
5
Coworking
0
Cafes
4
Nightlife
0
Parks
1
Transport
25
Walk Score
25
Footways
49.0
Airport
BBJ
Distance
27 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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