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Raffelstetten
City in Upper Austria, Austria
Overview
Raffelstetten is a tranquil Austrian village in Upper Austria, blending countryside charm with proximity to the Danube River. Its small-town feel, surrounding meadows, and walking trails make it ideal for those seeking a peaceful retreat.
Geographic Context
Jurisdiction
Austria
State
Upper Austria
Population
—
Time Zone
Europe/Vienna
Coordinates
48.24°, 14.40°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
80
Food Safety
90
Monthly Cost · estimate
$1,801
Local Cost
$1,028
Local Income
$2,200
Cashless
75
English
65
Temperature
8.3°C
Summer Avg
18.0°C
Winter Avg
-1.4°C
Record High
34.4°C
Record Low
-20.4°C
Humidity
82%
Precipitation
1097 mm
Internet Speed
89 Mbps
Upload
16 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
18
Walk Score
18
Footways
36.0
Airport
LNZ
Distance
16 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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