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Spital am Pyhrn
City in Upper Austria, Austria
Overview
Spital am Pyhrn is a charming alpine town in Upper Austria, tucked between the scenic Pyhrn-Priel region's mountains and lush valleys. Known for its baroque monastery, pristine landscapes, and outdoor opportunities, it offers an authentic, peaceful Austrian escape ideal for families and nature lovers.
Geographic Context
Jurisdiction
Austria
State
Upper Austria
Population
2,238
Time Zone
Europe/Vienna
Coordinates
47.66°, 14.34°
Key Metrics
Safety Score · estimate
92
Female Safety
92
LGBTQ+ Safety
85
Traffic Safety
95
Food Safety
98
Monthly Cost · estimate
$1,728
Local Cost
$1,000
Local Income
$1,950
Cashless
80
English
65
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
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
30
Walk Score
30
Footways
60.0
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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