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Sankt Paul im Lavanttal
City in Carinthia, Austria
Overview
Sankt Paul im Lavanttal is a charming small town set in the scenic Lavant Valley of Carinthia, Austria. Known for its tranquil environment and impressive Benedictine abbey, the city offers visitors a blend of history, nature, and rural Austrian hospitality.
Geographic Context
Jurisdiction
Austria
State
Carinthia
Population
3,303
Time Zone
Europe/Vienna
Coordinates
46.70°, 14.88°
Key Metrics
Safety Score · estimate
93
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,765
Local Cost
$1,015
Local Income
$1,850
Cashless
75
English
65
Temperature
8.3°C
Summer Avg
18.3°C
Winter Avg
-1.7°C
Record High
35.8°C
Record Low
-22.4°C
Humidity
82%
Precipitation
1041 mm
City Vibrancy
5
Coworking
0
Cafes
4
Nightlife
0
Parks
1
Transport
33
Walk Score
33
Footways
65.0
Airport
KLU
Distance
41 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 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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