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Kiischpelt
City in Wiltz, Luxembourg
Overview
Kiischpelt is a serene municipality in northern Luxembourg, renowned for its rolling hills, charming villages, and tranquil river valleys. With a close-knit community and an abundance of nature, it offers a peaceful retreat away from urban bustle.
Geographic Context
Jurisdiction
Luxembourg
Canton
Wiltz
Population
1,260
Time Zone
Europe/Luxembourg
Coordinates
49.98°, 6.01°
Key Metrics
Safety Score · estimate
98
Female Safety
95
LGBTQ+ Safety
93
Traffic Safety
92
Food Safety
99
Monthly Cost · estimate
$2,077
Local Cost
$1,430
Local Income
$3,200
Cashless
75
English
70
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
0
Nightlife
2
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
BBJ
Distance
40 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 2026-03-22.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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