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Windischgarsten
City in Upper Austria, Austria
Overview
Windischgarsten is a picturesque alpine town in Upper Austria, nestling amidst striking mountain scenery. Renowned for its outdoor activities and traditional Austrian charm, the city is a gateway to the Pyhrn-Priel holiday region.
Geographic Context
Jurisdiction
Austria
State
Upper Austria
Population
2,392
Time Zone
Europe/Vienna
Coordinates
47.72°, 14.33°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
75
Traffic Safety
92
Food Safety
96
Monthly Cost · estimate
$1,848
Local Cost
$1,050
Local Income
$2,100
Cashless
70
English
60
Temperature
5.1°C
Summer Avg
14.2°C
Winter Avg
-4.2°C
Record High
30.3°C
Record Low
-25.2°C
Humidity
86%
Precipitation
1228 mm
Internet Speed
69 Mbps
Upload
28 Mbps
Latency
16 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
2
Parks
1
Transport
38
Walk Score
38
Footways
76.0
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 2026-03-22.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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