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Nommern

City in Mersch, Luxembourg

Overview

Nommern is a small, picturesque commune in the Luxembourgish countryside, renowned for its tranquil atmosphere and striking natural rock formations. It's a peaceful escape perfect for hikers and those looking to experience authentic rural Luxembourg.

Geographic Context

Jurisdiction
Luxembourg
Canton
Mersch
Population
317
Time Zone
Europe/Luxembourg
Coordinates
49.79°, 6.17°

Key Metrics

Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
100
Monthly Cost · estimate
$2,325
Local Cost
$1,480
Local Income
$2,900
Cashless
85
English
60
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
2
Coworking
0
Cafes
1
Nightlife
1
Parks
0
Transport
11
Walk Score
11
Footways
21.0
Airport
LUX
Distance
18 km

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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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