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Molln
City in Upper Austria, Austria
Overview
Molln is a picturesque town set in Upper Austria, known for its gateways to the Kalkalpen National Park and strong local traditions. With its charming center, lush surroundings, and friendly atmosphere, it's ideal for both nature lovers and those seeking a relaxed Austrian experience.
Geographic Context
Jurisdiction
Austria
State
Upper Austria
Population
3,653
Time Zone
Europe/Vienna
Coordinates
47.89°, 14.26°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
100
Monthly Cost · estimate
$1,889
Local Cost
$1,090
Local Income
$2,100
Cashless
82
English
60
Temperature
8.3°C
Summer Avg
18.0°C
Winter Avg
-1.4°C
Record High
34.4°C
Record Low
-20.4°C
Humidity
82%
Precipitation
1097 mm
Internet Speed
219 Mbps
Upload
57 Mbps
Latency
37 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
LNZ
Distance
39 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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