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Queidersbach
City in Rhineland-Palatinate, Germany
Overview
Queidersbach is a scenic small town in the Western Palatinate, known for its charming streets, community spirit, and close proximity to the extensive Palatinate Forest. Its tranquil atmosphere appeals to visitors seeking an authentic German village experience away from tourist crowds.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
2,838
Time Zone
Europe/Berlin
Coordinates
49.37°, 7.63°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
77
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,698
Local Cost
$1,130
Local Income
$2,600
Cashless
65
English
60
Temperature
9.3°C
Summer Avg
18.4°C
Winter Avg
0.6°C
Record High
38.7°C
Record Low
-19.5°C
Humidity
81%
Precipitation
716 mm
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
10
Walk Score
10
Footways
19.0
Airport
RMS
Distance
9 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 2025-12-07.
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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