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Düns
City in Vorarlberg, Austria
Overview
Düns is a picturesque alpine village in Vorarlberg, Austria, known for its serene setting, traditional architecture, and access to beautiful hiking trails. With its small population and welcoming community, it offers an authentic taste of rural Austrian life.
Geographic Context
Jurisdiction
Austria
State
Vorarlberg
Population
411
Time Zone
Europe/Vienna
Coordinates
47.22°, 9.72°
Key Metrics
Safety Score · estimate
98
Female Safety
95
LGBTQ+ Safety
80
Traffic Safety
95
Food Safety
100
Monthly Cost · estimate
$1,708
Local Cost
$1,110
Local Income
$2,300
Cashless
85
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
Internet Speed
8 Mbps
Upload
12 Mbps
Latency
21 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
HOH
Distance
18 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 2025-12-08.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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