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Stans
City in Tyrol, Austria
Overview
Stans is a picturesque village set in the Tyrolean Alps, renowned for its natural beauty, traditional Austrian charm, and outdoor activities. It is a peaceful base for exploring the Karwendel mountains, historic sites, and the scenic Wolfsklamm gorge.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
2,159
Time Zone
Europe/Vienna
Coordinates
47.37°, 11.72°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$2,100
Local Cost
$1,210
Local Income
$2,600
Cashless
75
English
65
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
149 Mbps
Upload
33 Mbps
Latency
21 ms
City Vibrancy
6
Coworking
0
Cafes
4
Nightlife
2
Parks
0
Transport
23
Walk Score
23
Footways
45.0
Airport
INN
Distance
30 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 2025-12-08.
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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