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Pfunds
City in Tyrol, Austria
Overview
Pfunds is a picturesque Tyrolean village set in the upper Inn Valley, known for its alpine landscapes, traditional Austrian architecture, and relaxed pace of life. It offers easy access to hiking, biking, and winter sports in a welcoming small-town setting.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
2,585
Time Zone
Europe/Vienna
Coordinates
46.97°, 10.55°
Key Metrics
Safety Score · estimate
95
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,810
Local Cost
$1,190
Local Income
$2,100
Cashless
65
English
55
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
City Vibrancy
7
Coworking
0
Cafes
2
Nightlife
4
Parks
1
Transport
3
Walk Score
3
Footways
5.0
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 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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