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Häselgehr

City in Tyrol, Austria

Overview

Häselgehr is a quaint alpine village in Tyrol, Austria, set amidst the dramatic Lechtal Alps. With a population of just over 600, it offers an authentic Austrian rural experience, beautiful mountain vistas, and a gateway to outdoor adventures. Its peaceful ambiance and traditional charm make it an ideal base for hiking, cycling, and nature escapes.

Geographic Context

Jurisdiction
Austria
State
Tyrol
Population
666
Time Zone
Europe/Vienna
Coordinates
47.32°, 10.50°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
70
Food Safety
95
Monthly Cost · estimate
$1,808
Local Cost
$1,160
Local Income
$2,100
Cashless
50
English
50
Temperature
5.6°C
Summer Avg
14.6°C
Winter Avg
-3.6°C
Record High
30.0°C
Record Low
-27.4°C
Humidity
84%
Precipitation
1370 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
12.0
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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