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Silz
City in Tyrol, Austria
Overview
Silz is a picturesque village in the Tyrolean Alps, blending historic charm with access to outdoor adventures. Known for its relaxed pace and scenic river landscapes, it's ideal for those seeking an authentic Austrian experience away from the crowds.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
2,570
Time Zone
Europe/Vienna
Coordinates
47.27°, 10.93°
Key Metrics
Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
93
Food Safety
95
Monthly Cost · estimate
$1,990
Local Cost
$1,190
Local Income
$2,150
Cashless
77
English
78
Temperature
5.6°C
Summer Avg
14.6°C
Winter Avg
-3.6°C
Record High
30.0°C
Record Low
-27.4°C
Humidity
84%
Precipitation
1370 mm
Internet Speed
60 Mbps
Upload
19 Mbps
Latency
10 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
1
Parks
0
Transport
8
Walk Score
8
Footways
15.0
Airport
INN
Distance
31 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 2025-12-07.
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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