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Rappottenstein
City in Lower Austria, Austria
Overview
Rappottenstein is a picturesque village in Lower Austria, known for its stunning medieval castle and serene countryside setting. The area embraces local traditions, offering visitors a quiet escape and authentic rural Austrian hospitality.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
1,724
Time Zone
Europe/Vienna
Coordinates
48.52°, 15.08°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,563
Local Cost
$972
Local Income
$2,200
Cashless
60
English
55
Temperature
7.5°C
Summer Avg
17.3°C
Winter Avg
-2.4°C
Record High
33.5°C
Record Low
-27.5°C
Humidity
83%
Precipitation
818 mm
Internet Speed
8 Mbps
Upload
1 Mbps
Latency
22 ms
City Vibrancy
2
Coworking
0
Cafes
1
Nightlife
1
Parks
0
Transport
6
Walk Score
6
Footways
11.0
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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