Haidmühle
City in Bavaria, Germany
Overview
Set in the Bavarian Forest on the German-Czech border, Haidmühle offers a quiet rural escape for nature lovers and those seeking relaxation away from major tourist crowds. With scenic villages, hiking and cycling trails, and close proximity to stunning national parks, it's perfect for explorers and families.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,408
Time Zone
Europe/Berlin
Coordinates
48.83°, 13.78°
Key Metrics
Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,425
Local Cost
$862
Local Income
$2,000
Cashless
60
English
45
Temperature
7.3°C
Summer Avg
17.1°C
Winter Avg
-2.4°C
Record High
34.7°C
Record Low
-26.1°C
Humidity
83%
Precipitation
863 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
JCL
Distance
49 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: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.