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Weinzierl bei Krems
City in Lower Austria, Austria
Overview
Weinzierl bei Krems is a quaint locality set on the outskirts of the historic city of Krems in Lower Austria. Known for its proximity to lush vineyards and gentle hills, Weinzierl offers visitors tranquil rural charm just minutes from urban amenities.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
—
Time Zone
Europe/Vienna
Coordinates
48.40°, 15.60°
Key Metrics
Safety Score · estimate
95
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,795
Local Cost
$1,070
Local Income
$2,500
Cashless
70
English
65
Temperature
8.8°C
Summer Avg
19.0°C
Winter Avg
-1.4°C
Record High
35.8°C
Record Low
-27.3°C
Humidity
79%
Precipitation
703 mm
City Vibrancy
64
Coworking
0
Cafes
28
Nightlife
14
Parks
22
Transport
100
Walk Score
100
Footways
277.0
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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