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Mitterlabill
City in Styria, Austria
Overview
Mitterlabill is a serene rural village set in the lush landscapes of Styria, Austria. Known for its local charm, surrounding vineyards, and walking trails, it's an ideal spot for travelers seeking quiet countryside and authentic Austrian experiences. Its small size offers tranquility away from busy tourist paths.
Geographic Context
Jurisdiction
Austria
State
Styria
Population
—
Time Zone
Europe/Vienna
Coordinates
46.89°, 15.64°
Key Metrics
Safety Score · estimate
95
Female Safety
92
LGBTQ+ Safety
82
Traffic Safety
82
Food Safety
99
Monthly Cost · estimate
$1,908
Local Cost
$1,102
Local Income
$2,150
Cashless
68
English
58
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GRZ
Distance
18 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 2026-03-22.
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: 58/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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