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Birgitz
City in Tyrol, Austria
Overview
Birgitz is a charming Tyrolean village set at the foot of the Alps, just a short drive from Innsbruck. Its tranquil atmosphere, stunning mountain views, and traditional architecture make it a welcoming destination for nature lovers and families.
Geographic Context
Jurisdiction
Austria
State
Tyrol
Population
1,496
Time Zone
Europe/Vienna
Coordinates
47.24°, 11.30°
Key Metrics
Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
77
Traffic Safety
91
Food Safety
99
Monthly Cost · estimate
$2,008
Local Cost
$1,328
Local Income
$2,350
Cashless
75
English
80
Temperature
1.3°C
Summer Avg
10.7°C
Winter Avg
-8.4°C
Record High
30.2°C
Record Low
-29.7°C
Humidity
86%
Precipitation
1166 mm
Internet Speed
180 Mbps
Upload
183 Mbps
Latency
17 ms
City Vibrancy
13
Coworking
0
Cafes
9
Nightlife
3
Parks
1
Transport
28
Walk Score
28
Footways
55.0
Airport
INN
Distance
4 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 2026-03-22.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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