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Stadtkyll
City in Rhineland-Palatinate, Germany
Overview
Stadtkyll is a charming small town in the Eifel region of Rhineland-Palatinate, Germany, known for its scenic countryside and tranquil atmosphere. Its rich history and welcoming community make it a delightful destination for nature lovers and those seeking authentic village life.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
1,518
Time Zone
Europe/Berlin
Coordinates
50.35°, 6.53°
Key Metrics
Safety Score · estimate
88
Female Safety
83
LGBTQ+ Safety
65
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$1,552
Local Cost
$1,004
Local Income
$1,900
Cashless
52
English
55
Temperature
8.3°C
Summer Avg
16.3°C
Winter Avg
0.5°C
Record High
38.4°C
Record Low
-20.5°C
Humidity
85%
Precipitation
921 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
SPM
Distance
43 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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