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Chostlarn
City in Bavaria, Germany
Overview
Chostlarn is a picturesque Bavarian city, blending rich history with modern living. Its quaint old town, leafy suburbs, and lively arts scene cater to all types of travelers. The city's welcoming character and manageable scale make it ideal for relaxed exploration.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
—
Time Zone
Europe/Berlin
Coordinates
48.37°, 13.12°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$2,136
Local Cost
$1,190
Local Income
$2,500
Cashless
75
English
60
Temperature
8.6°C
Summer Avg
18.3°C
Winter Avg
-1.1°C
Record High
33.9°C
Record Low
-24.1°C
Humidity
83%
Precipitation
901 mm
Internet Speed
136 Mbps
Upload
35 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
8
Walk Score
8
Footways
15.0
Airport
—
Distance
—
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 2025-12-09.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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