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Commune de la Vallée de l’Ernz
City in Diekirch, Luxembourg
Overview
Commune de la Vallée de l'Ernz is a tranquil region in Diekirch, Luxembourg, known for its rolling hills, charming villages, and proximity to the Sûre river. It's an ideal destination for outdoor lovers, boasting beautiful hiking, cycling routes, and authentic rural charm.
Geographic Context
Jurisdiction
Luxembourg
Canton
Diekirch
Population
—
Time Zone
Europe/Luxembourg
Coordinates
49.82°, 6.22°
Key Metrics
Safety Score · estimate
97
Female Safety
94
LGBTQ+ Safety
94
Traffic Safety
91
Food Safety
99
Monthly Cost · estimate
$2,517
Local Cost
$1,680
Local Income
$3,800
Cashless
85
English
80
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
9
Walk Score
9
Footways
18.0
Airport
LUX
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 2025-12-09.
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 2026-03-22.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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