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Prutz
City in Tyrol, Austria
Overview
Prutz is a charming alpine village in Tyrol, Austria, set at the gateway to the Upper Inn Valley. Known for its scenic landscapes and proximity to ski resorts and hiking routes, Prutz is popular among nature lovers seeking tranquility and authenticity.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
1,884
Time Zone
Europe/Vienna
Coordinates
47.08°, 10.67°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
88
Food Safety
96
Monthly Cost · estimate
$2,013
Local Cost
$1,180
Local Income
$2,250
Cashless
60
English
62
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
23 Mbps
Upload
20 Mbps
Latency
3 ms
City Vibrancy
9
Coworking
0
Cafes
4
Nightlife
3
Parks
2
Transport
18
Walk Score
18
Footways
35.0
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 2025-12-08.
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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