Brunnen
City in Bavaria, Germany
Overview
Brunnen is a picturesque Bavarian village set in tranquil countryside, exemplifying local tradition and rural charm. With a population of 1,609, it offers peaceful living, friendly community spirit, and easy access to nature. Visitors will experience authentic German hospitality and timeless scenery.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,609
Time Zone
Europe/Berlin
Coordinates
48.23°, 10.97°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
92
Food Safety
95
Monthly Cost · estimate
$1,758
Local Cost
$1,020
Local Income
$2,400
Cashless
65
English
65
Temperature
8.5°C
Summer Avg
17.6°C
Winter Avg
-0.6°C
Record High
36.2°C
Record Low
-24.3°C
Humidity
83%
Precipitation
1102 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
AGB
Distance
22 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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.