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Krottendorf bei Ligist
City in Styria, Austria
Overview
Krottendorf bei Ligist is a picturesque rural village in Styria, Austria, renowned for its scenic hills, traditional Styrian culture, and warm community. While largely undiscovered by mainstream tourism, it offers authentic Austrian rural experiences and easy access to nearby wine regions.
Geographic Context
Jurisdiction
Austria
State
Styria
Population
—
Time Zone
Europe/Vienna
Coordinates
47.02°, 15.22°
Key Metrics
Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
80
Traffic Safety
87
Food Safety
99
Monthly Cost · estimate
$1,975
Local Cost
$1,110
Local Income
$2,200
Cashless
68
English
55
Temperature
7.4°C
Summer Avg
17.3°C
Winter Avg
-2.5°C
Record High
34.3°C
Record Low
-24.6°C
Humidity
82%
Precipitation
991 mm
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
18
Walk Score
18
Footways
35.0
Airport
GRZ
Distance
17 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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