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Straßburg
City in Carinthia, Austria
Overview
Straßburg is a charming small town in Carinthia, Austria, best known for its medieval castle and idyllic Alpine setting. With under 2,000 residents, it offers peaceful living, historic sites, and easy access to nature. Visitors enjoy the laid-back pace, local cuisine, and cultural heritage.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
1,986
Time Zone
Europe/Vienna
Coordinates
46.90°, 14.33°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,628
Local Cost
$920
Local Income
$1,900
Cashless
65
English
55
Temperature
5.6°C
Summer Avg
15.2°C
Winter Avg
-4.0°C
Record High
31.7°C
Record Low
-26.0°C
Humidity
84%
Precipitation
1068 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
11.0
Airport
KLU
Distance
28 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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