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Amras

City in Tyrol, Austria

Overview

Amras is a picturesque district of Innsbruck, located in the Tyrolean lowlands of Austria. Known for its blend of tranquil residential neighborhoods and the historic Schloss Ambras castle, Amras offers a peaceful base just minutes from the city's lively center.

Geographic Context

Jurisdiction
Austria
State
Tyrol
Population
—
Time Zone
Europe/Vienna
Coordinates
47.25°, 11.42°

Key Metrics

Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
86
Food Safety
99
Monthly Cost · estimate
$2,205
Local Cost
$1,400
Local Income
$2,600
Cashless
90
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
City Vibrancy
76
Coworking
0
Cafes
30
Nightlife
21
Parks
25
Transport
69
Walk Score
69
Footways
138.0
Airport
INN
Distance
5 km

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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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