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Amlach

City in Tyrol, Austria

Overview

Amlach is a serene village set in the Tyrolean Alps of Austria, offering picturesque mountain scenery and a close-knit community atmosphere. Known for its proximity to Lienz and the River Drau, it's a peaceful spot for those seeking authentic Alpine life and nature.

Geographic Context

Jurisdiction
Austria
State
Tyrol
Population
492
Time Zone
Europe/Vienna
Coordinates
46.82°, 12.76°

Key Metrics

Safety Score · estimate
92
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
93
Food Safety
98
Monthly Cost · estimate
$1,768
Local Cost
$1,150
Local Income
$2,200
Cashless
75
English
65
Temperature
2.2°C
Summer Avg
11.6°C
Winter Avg
-7.6°C
Record High
26.2°C
Record Low
-29.4°C
Humidity
86%
Precipitation
1261 mm
City Vibrancy
38
Coworking
0
Cafes
24
Nightlife
9
Parks
5
Transport
35
Walk Score
35
Footways
69.0
Airport
—
Distance
—

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 2026-03-23.
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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