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Mallnitz
City in Carinthia, Austria
Overview
Mallnitz is a picturesque alpine village in Carinthia, Austria, set at the gateway to Hohe Tauern National Park. Renowned for stunning mountain scenery, it offers excellent hiking, skiing, and a welcoming, peaceful atmosphere.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
786
Time Zone
Europe/Vienna
Coordinates
46.99°, 13.17°
Key Metrics
Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
96
Food Safety
98
Monthly Cost · estimate
$2,008
Local Cost
$1,030
Local Income
$2,100
Cashless
70
English
65
Temperature
2.8°C
Summer Avg
12.2°C
Winter Avg
-6.9°C
Record High
28.7°C
Record Low
-29.6°C
Humidity
86%
Precipitation
1283 mm
Internet Speed
35 Mbps
Upload
14 Mbps
Latency
13 ms
City Vibrancy
6
Coworking
0
Cafes
3
Nightlife
2
Parks
1
Transport
22
Walk Score
22
Footways
43.0
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 2025-12-08.
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 2026-03-23.
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: 82/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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