Aufseß
City in Bavaria, Germany
Overview
Aufseß is a picturesque Bavarian village set in the Franconian Switzerland region, famous for its medieval castles and surrounding natural beauty. The village is ideal for travelers seeking tranquility, authentic rural culture, and easy access to hiking and cycling trails.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
494
Time Zone
Europe/Berlin
Coordinates
49.88°, 11.23°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,545
Local Cost
$982
Local Income
$2,000
Cashless
50
English
55
Temperature
8.5°C
Summer Avg
18.2°C
Winter Avg
-1.0°C
Record High
37.6°C
Record Low
-21.4°C
Humidity
81%
Precipitation
746 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
URD
Distance
12 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 2026-03-23.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.