Pressath
City in Bavaria, Germany
Overview
Pressath is a charming Bavarian town with a strong local community, surrounded by picturesque woodlands and rustic countryside. It offers visitors a peaceful atmosphere, traditional German culture, and easy access to nature.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
4,287
Time Zone
Europe/Berlin
Coordinates
49.77°, 11.94°
Key Metrics
Safety Score · estimate
85
Female Safety
83
LGBTQ+ Safety
72
Traffic Safety
89
Food Safety
98
Monthly Cost · estimate
$1,760
Local Cost
$1,020
Local Income
$2,650
Cashless
80
English
48
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
Internet Speed
370 Mbps
Upload
36 Mbps
Latency
20 ms
City Vibrancy
9
Coworking
0
Cafes
2
Nightlife
6
Parks
1
Transport
28
Walk Score
28
Footways
56.0
Airport
BYU
Distance
32 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 2025-12-07.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.