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Sankt Egyden an der Drau
City in Carinthia, Austria
Overview
Sankt Egyden an der Drau is a picturesque village in Carinthia, Austria, set between forests and lakes. With its tranquil atmosphere and easy access to nature, it's ideal for relaxation or outdoor adventures. Visitors will find traditional Austrian charm in a serene countryside setting.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
382
Time Zone
Europe/Vienna
Coordinates
46.58°, 14.06°
Key Metrics
Safety Score · estimate
94
Female Safety
93
LGBTQ+ Safety
78
Traffic Safety
95
Food Safety
98
Monthly Cost · estimate
$1,592
Local Cost
$952
Local Income
$2,000
Cashless
75
English
60
Temperature
6.8°C
Summer Avg
16.5°C
Winter Avg
-3.1°C
Record High
34.7°C
Record Low
-27.1°C
Humidity
82%
Precipitation
1227 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
KLU
Distance
23 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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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