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Irrsdorf
City in Salzburg, Austria
Overview
Irrsdorf is a small, picturesque village set in the Salzburg region of Austria, characterized by traditional farmhouses, rolling green landscapes, and historic sites. While it maintains authentic rural charm, Irrsdorf offers visitors access to serene nature and genuine Austrian hospitality.
Geographic Context
Jurisdiction
Austria
State
Salzburg
Population
—
Time Zone
Europe/Vienna
Coordinates
47.97°, 13.28°
Key Metrics
Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
82
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,822
Local Cost
$1,180
Local Income
$2,600
Cashless
80
English
68
Temperature
8.7°C
Summer Avg
18.1°C
Winter Avg
-0.7°C
Record High
35.0°C
Record Low
-21.0°C
Humidity
83%
Precipitation
1262 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
21
Walk Score
21
Footways
41.0
Airport
SZG
Distance
28 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 2025-12-09.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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