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Reuth
City in Bavaria, Germany
Overview
Reuth is a charming Bavarian village known for its tranquil countryside, friendly community, and traditional German character. While small in size, it offers scenic landscapes, historic buildings, and authentic local experiences for visitors seeking a peaceful getaway.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,083
Time Zone
Europe/Berlin
Coordinates
49.99°, 11.69°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,698
Local Cost
$1,050
Local Income
$2,350
Cashless
70
English
68
Temperature
7.7°C
Summer Avg
17.5°C
Winter Avg
-1.8°C
Record High
36.7°C
Record Low
-24.6°C
Humidity
82%
Precipitation
753 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BYU
Distance
4 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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