Sankt Pantaleon
City in Lower Austria, Austria
Overview
Sankt Pantaleon, set in Lower Austria, is a small village surrounded by tranquil countryside, historical charm, and natural beauty. Known for its traditional Austrian rural lifestyle, the town offers visitors a peaceful escape from urban life.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
—
Time Zone
Europe/Vienna
Coordinates
48.21°, 14.57°
Key Metrics
Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
75
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$1,978
Local Cost
$1,112
Local Income
$2,600
Cashless
85
English
65
Temperature
8.3°C
Summer Avg
18.0°C
Winter Avg
-1.4°C
Record High
34.4°C
Record Low
-20.4°C
Humidity
82%
Precipitation
1097 mm
Internet Speed
122 Mbps
Upload
43 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
7.0
Airport
LNZ
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 2025-12-09.
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 2026-03-21.
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.