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Dünserberg

City in Vorarlberg, Austria

Overview

Dünserberg is a tiny, picturesque mountain village in Vorarlberg, Austria, with just 147 residents. Surrounded by lush alpine scenery, it offers a peaceful retreat ideal for nature lovers and hikers. The village is known for its traditional Austrian character and friendly community.

Geographic Context

Jurisdiction
Austria
State
Vorarlberg
Population
147
Time Zone
Europe/Vienna
Coordinates
47.23°, 9.72°

Key Metrics

Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
95
Food Safety
98
Monthly Cost · estimate
$1,695
Local Cost
$1,030
Local Income
$2,200
Cashless
70
English
65
Temperature
1.7°C
Summer Avg
11.0°C
Winter Avg
-7.8°C
Record High
28.0°C
Record Low
-32.9°C
Humidity
84%
Precipitation
1413 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
HOH
Distance
18 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 2026-03-23.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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