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Bausendorf
City in Rhineland-Palatinate, Germany
Overview
Bausendorf is a tranquil village set in the lush landscapes of Rhineland-Palatinate, known for its proximity to the Moselle Valley and picturesque vineyards. The town boasts a friendly, authentic atmosphere with easy access to rural trails and local cuisine.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
1,441
Time Zone
Europe/Berlin
Coordinates
50.02°, 7.00°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
83
Food Safety
97
Monthly Cost · estimate
$1,720
Local Cost
$1,067
Local Income
$2,400
Cashless
68
English
52
Temperature
8.8°C
Summer Avg
17.5°C
Winter Avg
0.4°C
Record High
38.7°C
Record Low
-19.8°C
Humidity
83%
Precipitation
761 mm
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
3
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
HHN
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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