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Arzl
City in Tyrol, Austria
Overview
Arzl is a quaint Tyrolean village set in the spectacular mountains of western Austria, known for its serene landscapes and gateway location to the Pitztal valley. The town offers authentic Alpine charm, easy access to nature, and a friendly local atmosphere ideal for relaxation and active holidays.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
—
Time Zone
Europe/Vienna
Coordinates
47.28°, 11.43°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$2,125
Local Cost
$1,380
Local Income
$2,200
Cashless
70
English
75
Temperature
5.7°C
Summer Avg
14.8°C
Winter Avg
-3.6°C
Record High
34.7°C
Record Low
-29.1°C
Humidity
83%
Precipitation
1347 mm
Internet Speed
47 Mbps
Upload
8 Mbps
Latency
87 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
397.0
Airport
INN
Distance
7 km
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 2026-03-22.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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