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Hohenthann
City in Bavaria, Germany
Overview
Hohenthann is a small, picturesque Bavarian town characterized by lush fields, rustic architecture, and warm local hospitality. Visitors are treated to authentic rural German culture, traditional breweries, and beautiful landscapes.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
4,344
Time Zone
Europe/Berlin
Coordinates
48.66°, 12.09°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
78
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,732
Local Cost
$992
Local Income
$2,900
Cashless
75
English
62
Temperature
8.7°C
Summer Avg
18.1°C
Winter Avg
-0.7°C
Record High
32.2°C
Record Low
-23.9°C
Humidity
83%
Precipitation
861 mm
Internet Speed
51 Mbps
Upload
19 Mbps
Latency
12 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
13
Walk Score
13
Footways
26.0
Airport
RBM
Distance
41 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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