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Grafenschachen
City in Burgenland, Austria
Overview
Grafenschachen is a small, peaceful village in Burgenland, Austria, known for its charming countryside and close-knit community. The town offers a tranquil getaway with easy access to nature and authentic local culture. Visitors enjoy traditional Austrian hospitality, rural landscapes, and convenient links to nearby towns.
Geographic Context
Jurisdiction
Austria
State
Burgenland
Population
1,225
Time Zone
Europe/Vienna
Coordinates
47.37°, 16.07°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
82
Food Safety
97
Monthly Cost · estimate
$1,615
Local Cost
$1,022
Local Income
$2,100
Cashless
65
English
60
Temperature
9.2°C
Summer Avg
19.6°C
Winter Avg
-1.1°C
Record High
38.2°C
Record Low
-22.0°C
Humidity
78%
Precipitation
787 mm
Internet Speed
121 Mbps
Upload
46 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
12.0
Airport
—
Distance
—
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 2025-12-08.
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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