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Schwaz
City in Tyrol, Austria
Overview
Schwaz is a charming Tyrolean town set in the Austrian Alps, once famous for its historic silver mines. Today, it blends medieval architecture with lively local culture, making it an appealing destination for lovers of history, hiking, and Alpine scenery.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
13,810
Time Zone
Europe/Vienna
Coordinates
47.35°, 11.71°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,942
Local Cost
$1,250
Local Income
$2,200
Cashless
75
English
70
Temperature
5.7°C
Summer Avg
14.9°C
Winter Avg
-3.7°C
Record High
31.9°C
Record Low
-28.9°C
Humidity
84%
Precipitation
1333 mm
Internet Speed
118 Mbps
Upload
35 Mbps
Latency
23 ms
City Vibrancy
34
Coworking
1
Cafes
16
Nightlife
10
Parks
7
Transport
100
Walk Score
100
Footways
301.0
Airport
INN
Distance
29 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 2025-12-06.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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