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Sankt Leonhard
City in Styria, Austria
Overview
Sankt Leonhard in Styria is a picturesque Austrian town known for its charming village atmosphere, forested surroundings, and cultural traditions. Small but inviting, it appeals to visitors seeking authentic rural Austrian experiences.
Geographic Context
Jurisdiction
Austria
State
Styria
Population
—
Time Zone
Europe/Vienna
Coordinates
47.07°, 15.46°
Key Metrics
Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,848
Local Cost
$1,130
Local Income
$2,100
Cashless
80
English
65
Temperature
9.9°C
Summer Avg
20.4°C
Winter Avg
-0.4°C
Record High
39.0°C
Record Low
-22.1°C
Humidity
77%
Precipitation
832 mm
Internet Speed
167 Mbps
Upload
40 Mbps
Latency
14 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
3346.0
Airport
GRZ
Distance
9 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.
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