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Villach-Land District

City in Carinthia, Austria

Overview

Villach-Land District is a scenic region in southern Austria, celebrated for its lakes, wellness resorts, and alpine landscapes. The district is dotted with charming villages, lively lakeside towns, and offers quick access to neighboring Italy and Slovenia.

Geographic Context

Jurisdiction
Austria
State
Carinthia
Population
64,668
Time Zone
Europe/Vienna
Coordinates
46.65°, 13.77°

Key Metrics

Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
77
Traffic Safety
86
Food Safety
98
Monthly Cost · estimate
$2,098
Local Cost
$1,250
Local Income
$2,250
Cashless
83
English
72
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
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
KLU
Distance
43 km

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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.

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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