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Sankt Margareten im Rosental
City in Carinthia, Austria
Overview
Sankt Margareten im Rosental is a picturesque village in southern Carinthia, Austria, known for its charming rural atmosphere and beautiful natural surroundings. The town offers hiking, traditional Austrian culture, and easy access to the Rosental valley's mountains and forests.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
1,099
Time Zone
Europe/Vienna
Coordinates
46.54°, 14.42°
Key Metrics
Safety Score · estimate
96
Female Safety
92
LGBTQ+ Safety
78
Traffic Safety
90
Food Safety
99
Monthly Cost · estimate
$1,587
Local Cost
$1,035
Local Income
$2,000
Cashless
72
English
60
Temperature
7.7°C
Summer Avg
17.6°C
Winter Avg
-2.2°C
Record High
37.0°C
Record Low
-23.7°C
Humidity
81%
Precipitation
1059 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
KLU
Distance
13 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 2025-12-08.
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 2026-03-22.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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