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Wallmenroth
City in Rhineland-Palatinate, Germany
Overview
Wallmenroth is a small, peaceful village set in the scenic Rhineland-Palatinate region of Germany, known for its friendly residents and rural charm. Its proximity to the Rhine and lush countryside makes it ideal for nature lovers and travelers seeking authentic local experience.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
1,188
Time Zone
Europe/Berlin
Coordinates
50.80°, 7.83°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
75
Traffic Safety
86
Food Safety
98
Monthly Cost · estimate
$1,782
Local Cost
$992
Local Income
$2,500
Cashless
65
English
45
Temperature
8.3°C
Summer Avg
16.8°C
Winter Avg
0.0°C
Record High
36.8°C
Record Low
-19.0°C
Humidity
85%
Precipitation
909 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
12.0
Airport
SGE
Distance
20 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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