Glonn
City in Bavaria, Germany
Overview
Glonn is a picturesque small town set in the rolling hills of Upper Bavaria, Germany. Renowned for its natural beauty, organic farms, and peaceful lifestyle, Glonn offers visitors a friendly atmosphere and a taste of rural Bavarian culture.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
5,329
Time Zone
Europe/Berlin
Coordinates
47.99°, 11.87°
Key Metrics
Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,897
Local Cost
$1,350
Local Income
$2,600
Cashless
75
English
65
Temperature
8.4°C
Summer Avg
17.6°C
Winter Avg
-0.9°C
Record High
35.4°C
Record Low
-23.1°C
Humidity
83%
Precipitation
1132 mm
Internet Speed
172 Mbps
Upload
72 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
41
Walk Score
41
Footways
82.0
Airport
MUC
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.