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Mompach

City in Echternach, Luxembourg

Overview

Mompach is a quaint village in the Echternach region of Luxembourg, surrounded by lush countryside, forests, and traditional hamlets. The area is beloved for its tranquil ambiance, scenic walking trails, and proximity to the Mullerthal hiking region.

Geographic Context

Jurisdiction
Luxembourg
Canton
Echternach
Population
—
Time Zone
Europe/Luxembourg
Coordinates
49.75°, 6.46°

Key Metrics

Safety Score · estimate
97
Female Safety
93
LGBTQ+ Safety
90
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$2,345
Local Cost
$1,540
Local Income
$3,300
Cashless
85
English
75
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
31
Walk Score
31
Footways
61.0
Airport
LUX
Distance
23 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 2025-12-09.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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