Kehrig
City in Rhineland-Palatinate, Germany
Overview
Kehrig is a picturesque village set in the hills of Rhineland-Palatinate, Germany, offering a tranquil rural atmosphere and easy access to nature. Known for its friendly community and beautiful landscapes, it's an ideal base to explore the Eifel region.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
1,247
Time Zone
Europe/Berlin
Coordinates
50.28°, 7.22°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,722
Local Cost
$1,050
Local Income
$2,350
Cashless
70
English
55
Temperature
9.2°C
Summer Avg
18.0°C
Winter Avg
0.7°C
Record High
38.7°C
Record Low
-18.6°C
Humidity
82%
Precipitation
785 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
HHN
Distance
38 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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.