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See
City in Tyrol, Austria
Overview
See is a picturesque mountain village in Tyrol, Austria, set amidst stunning alpine landscapes and renowned for its family-friendly ski resort. The village offers easy access to outdoor adventures year-round, making it ideal for both winter sports enthusiasts and summer hikers.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
—
Time Zone
Europe/Vienna
Coordinates
47.08°, 10.47°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
87
Food Safety
98
Monthly Cost · estimate
$2,510
Local Cost
$1,510
Local Income
$2,500
Cashless
85
English
65
Temperature
1.1°C
Summer Avg
10.4°C
Winter Avg
-8.6°C
Record High
24.9°C
Record Low
-31.8°C
Humidity
85%
Precipitation
1179 mm
Internet Speed
117 Mbps
Upload
110 Mbps
Latency
2 ms
City Vibrancy
4
Coworking
0
Cafes
0
Nightlife
4
Parks
0
Transport
11
Walk Score
11
Footways
21.0
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 2025-12-09.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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