St. Veit an der Glan
City in Carinthia, Austria
Overview
St. Veit an der Glan is a picturesque small town in Carinthia, Austria, known for its enchanting medieval core, friendly atmosphere, and proximity to lakes and Alpine foothills. The town blends history with lively local culture, making it ideal for relaxed exploration and day trips.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
—
Time Zone
Europe/Vienna
Coordinates
46.74°, 14.35°
Key Metrics
Safety Score · estimate
94
Female Safety
93
LGBTQ+ Safety
87
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$2,065
Local Cost
$1,100
Local Income
$2,150
Cashless
85
English
71
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
10 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 2025-12-09.
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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.