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Aura im Sinngrund
City in Bavaria, Germany
Overview
Aura im Sinngrund is a tranquil Bavarian village set in the scenic Sinn valley, known for its charming countryside, traditional architecture, and community spirit. Visitors enjoy the serene pace of rural life with easy access to forests and riverside trails.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
947
Time Zone
Europe/Berlin
Coordinates
50.18°, 9.58°
Key Metrics
Safety Score · estimate
94
Female Safety
88
LGBTQ+ Safety
69
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,746
Local Cost
$1,012
Local Income
$2,250
Cashless
60
English
38
Temperature
9.3°C
Summer Avg
18.8°C
Winter Avg
0.2°C
Record High
38.5°C
Record Low
-20.5°C
Humidity
81%
Precipitation
753 mm
Internet Speed
246 Mbps
Upload
44 Mbps
Latency
31 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—
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 2026-03-23.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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