Villacher Vorstadt
City in Carinthia, Austria
Overview
Villacher Vorstadt is a charming urban district in Villach, Carinthia, Austria, blending historical charm with modern conveniences. Its riverside location and proximity to the city center make it ideal for both leisure and business visitors.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
—
Time Zone
Europe/Vienna
Coordinates
46.62°, 14.29°
Key Metrics
Safety Score · estimate
89
Female Safety
87
LGBTQ+ Safety
78
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,964
Local Cost
$1,248
Local Income
$2,350
Cashless
85
English
70
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
Internet Speed
269 Mbps
Upload
24 Mbps
Latency
26 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
346.0
Airport
KLU
Distance
5 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: 83/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.