Kappl
City in Tyrol, Austria
Overview
Kappl is a picturesque alpine village set in the Paznaun Valley of Tyrol, Austria. Renowned for its ski resort and stunning mountain scenery, it offers year-round outdoor activities and authentic Tyrolean hospitality.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
2,529
Time Zone
Europe/Vienna
Coordinates
47.07°, 10.38°
Key Metrics
Safety Score · estimate
92
Female Safety
86
LGBTQ+ Safety
82
Traffic Safety
86
Food Safety
98
Monthly Cost · estimate
$1,945
Local Cost
$1,390
Local Income
$2,350
Cashless
82
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
55 Mbps
Upload
42 Mbps
Latency
7 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
3
Parks
0
Transport
10
Walk Score
10
Footways
19.0
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.