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Schneizlreuth
City in Bavaria, Germany
Overview
Schneizlreuth is a charming, small Bavarian village set amidst the foothills of the Alps, known for its stunning natural landscapes and peaceful rural character. With under 1,400 residents, it offers an authentic experience of upper Bavaria, excellent outdoor opportunities, and a friendly village atmosphere.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,394
Time Zone
Europe/Berlin
Coordinates
47.68°, 12.80°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,917
Local Cost
$1,090
Local Income
$2,300
Cashless
65
English
40
Temperature
5.1°C
Summer Avg
14.2°C
Winter Avg
-4.3°C
Record High
31.4°C
Record Low
-29.0°C
Humidity
85%
Precipitation
1454 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
SZG
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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