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Geidorf
City in Styria, Austria
Overview
Geidorf is a lively and historic district in Graz, Austria, set north of the city center. Home to the University of Graz and charming residential streets, Geidorf blends youthful energy with tranquil parks and cultural hotspots.
Geographic Context
Jurisdiction
Austria
State
Styria
Population
—
Time Zone
Europe/Vienna
Coordinates
47.08°, 15.44°
Key Metrics
Safety Score · estimate
93
Female Safety
92
LGBTQ+ Safety
88
Traffic Safety
83
Food Safety
98
Monthly Cost · estimate
$2,108
Local Cost
$1,399
Local Income
$2,500
Cashless
90
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
84 Mbps
Upload
20 Mbps
Latency
10 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
1761.0
Airport
GRZ
Distance
11 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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