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Bodenwöhr
City in Bavaria, Germany
Overview
Bodenwöhr is a small, tranquil Bavarian town set beside Kronbergsee Lake and surrounded by forests. With a friendly atmosphere, scenic landscapes, and a strong local character, it's an ideal place to unwind and experience rural Germany.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,154
Time Zone
Europe/Berlin
Coordinates
49.27°, 12.30°
Key Metrics
Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,575
Local Cost
$1,012
Local Income
$2,200
Cashless
55
English
35
Temperature
8.2°C
Summer Avg
18.2°C
Winter Avg
-1.7°C
Record High
37.2°C
Record Low
-24.3°C
Humidity
81%
Precipitation
743 mm
Internet Speed
216 Mbps
Upload
35 Mbps
Latency
16 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
10
Walk Score
10
Footways
20.0
Airport
RBM
Distance
44 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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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