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Buchbrunn
City in Bavaria, Germany
Overview
Buchbrunn is a charming, small Bavarian village set in the Franconian wine country, renowned for its tranquil setting and traditional German architecture. It offers a peaceful escape with close-knit community vibes and scenic vineyard walks.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,061
Time Zone
Europe/Berlin
Coordinates
49.76°, 10.14°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,645
Local Cost
$965
Local Income
$2,350
Cashless
70
English
40
Temperature
9.3°C
Summer Avg
19.0°C
Winter Avg
0.1°C
Record High
39.0°C
Record Low
-21.5°C
Humidity
80%
Precipitation
680 mm
Internet Speed
259 Mbps
Upload
42 Mbps
Latency
12 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
2
Parks
1
Transport
11
Walk Score
11
Footways
21.0
Airport
KZG
Distance
5 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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