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Brandln
City in Upper Austria, Austria
Overview
Brandln is a charming village located in Upper Austria, known for its tranquil rural atmosphere, surrounding forests, and proximity to the river. With friendly locals and authentic Austrian culture, it is ideal for those seeking relaxation and outdoor activities.
Geographic Context
Jurisdiction
Austria
State
Upper Austria
Population
—
Time Zone
Europe/Vienna
Coordinates
48.15°, 14.00°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
95
Food Safety
100
Monthly Cost · estimate
$1,830
Local Cost
$1,050
Local Income
$2,200
Cashless
60
English
65
Temperature
8.2°C
Summer Avg
17.7°C
Winter Avg
-1.4°C
Record High
35.8°C
Record Low
-21.6°C
Humidity
83%
Precipitation
1257 mm
Internet Speed
129 Mbps
Upload
29 Mbps
Latency
16 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
43
Walk Score
43
Footways
85.0
Airport
LNZ
Distance
18 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 2025-12-09.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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