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Lannach
City in Styria, Austria
Overview
Lannach is a picturesque small town set in the Styrian countryside, known for its peaceful atmosphere and close-knit community. Surrounded by rolling hills and vineyards, it's a gateway to rural Austria while still within easy reach of Graz.
Geographic Context
Jurisdiction
Austria
State
Styria
Population
3,459
Time Zone
Europe/Vienna
Coordinates
46.95°, 15.34°
Key Metrics
Safety Score · estimate
92
Female Safety
93
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$1,818
Local Cost
$1,180
Local Income
$2,150
Cashless
75
English
75
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
236 Mbps
Upload
33 Mbps
Latency
22 ms
City Vibrancy
6
Coworking
0
Cafes
2
Nightlife
2
Parks
2
Transport
56
Walk Score
56
Footways
111.0
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 2025-12-07.
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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