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Hohenthurn
City in Carinthia, Austria
Overview
Hohenthurn is a small, picturesque town set in Carinthia, Austria, renowned for its rich Carinthian-Slovene heritage and tranquil alpine scenery. The town is an ideal destination for those seeking peace, nature, and a taste of rural Austrian life away from the crowds.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
851
Time Zone
Europe/Vienna
Coordinates
46.56°, 13.66°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
95
Food Safety
98
Monthly Cost · estimate
$1,528
Local Cost
$982
Local Income
$2,400
Cashless
70
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
Internet Speed
29 Mbps
Upload
5 Mbps
Latency
26 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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