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Landl
City in Styria, Austria
Overview
Landl is a tranquil village in the heart of Styria, Austria, surrounded by stunning alpine scenery and the Enns river. Known for its friendly community and easy access to the Gesäuse National Park, it appeals to nature enthusiasts and those seeking a peaceful escape.
Geographic Context
Jurisdiction
Austria
State
Styria
Population
2,720
Time Zone
Europe/Vienna
Coordinates
47.66°, 14.73°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,623
Local Cost
$910
Local Income
$2,400
Cashless
65
English
60
Temperature
5.9°C
Summer Avg
15.3°C
Winter Avg
-3.4°C
Record High
32.7°C
Record Low
-23.2°C
Humidity
85%
Precipitation
1104 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
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 2025-12-07.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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