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Politischer Bezirk Kufstein
City in Tyrol, Austria
Overview
Politischer Bezirk Kufstein, set in Tyrol's Alps, offers a blend of historic towns, scenic mountain vistas, and lively local culture. With picturesque lakes, centuries-old fortresses, and easy access to outdoor activities, it's a favourite for both leisure travelers and nature enthusiasts.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
105,466
Time Zone
Europe/Vienna
Coordinates
47.50°, 12.03°
Key Metrics
Safety Score · estimate
89
Female Safety
88
LGBTQ+ Safety
80
Traffic Safety
87
Food Safety
95
Monthly Cost · estimate
$2,350
Local Cost
$1,420
Local Income
$2,450
Cashless
88
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
8.0
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 2025-12-06.
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: 81/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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