Wundschuh
City in Styria, Austria
Overview
Wundschuh is a small, quiet village set in the Styrian countryside of Austria, offering a peaceful glimpse into rural Austrian life. With just under 1,600 residents, the town is known for its picturesque surroundings and friendly atmosphere.
Geographic Context
Jurisdiction
Austria
State
Styria
Population
1,599
Time Zone
Europe/Vienna
Coordinates
46.93°, 15.45°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
82
Traffic Safety
89
Food Safety
98
Monthly Cost · estimate
$2,270
Local Cost
$1,290
Local Income
$2,100
Cashless
83
English
72
Temperature
9.9°C
Summer Avg
20.4°C
Winter Avg
-0.4°C
Record High
39.0°C
Record Low
-22.1°C
Humidity
77%
Precipitation
832 mm
Internet Speed
54 Mbps
Upload
19 Mbps
Latency
11 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
0
Parks
1
Transport
8
Walk Score
8
Footways
15.0
Airport
GRZ
Distance
7 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 2026-03-22.
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.