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Krumnussbaum
City in Lower Austria, Austria
Overview
Krumnussbaum is a picturesque riverside village in Lower Austria, known for its tranquil rural ambiance and proximity to the Danube. Its vineyards, historic sites, and charming squares offer a glimpse into authentic Austrian countryside life.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
—
Time Zone
Europe/Vienna
Coordinates
48.21°, 15.16°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,653
Local Cost
$982
Local Income
$1,900
Cashless
65
English
65
Temperature
8.3°C
Summer Avg
17.8°C
Winter Avg
-1.3°C
Record High
35.1°C
Record Low
-23.0°C
Humidity
83%
Precipitation
1092 mm
Internet Speed
18 Mbps
Upload
6 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
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 2025-12-09.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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