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Mils bei Imst
City in Tyrol, Austria
Overview
Mils bei Imst is a charming Tyrolean village set in the Austrian Alps with a cozy population. It offers scenic landscapes, access to outdoor adventures, and authentic alpine culture, making it ideal for peaceful getaways and nature lovers.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
610
Time Zone
Europe/Vienna
Coordinates
47.21°, 10.67°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
82
Traffic Safety
95
Food Safety
99
Monthly Cost · estimate
$2,023
Local Cost
$1,273
Local Income
$2,200
Cashless
70
English
60
Temperature
1.1°C
Summer Avg
10.4°C
Winter Avg
-8.6°C
Record High
24.9°C
Record Low
-31.8°C
Humidity
85%
Precipitation
1179 mm
Internet Speed
38 Mbps
Upload
33 Mbps
Latency
9 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
1
Parks
2
Transport
9
Walk Score
9
Footways
18.0
Airport
—
Distance
—
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: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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