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Politischer Bezirk Melk
City in Lower Austria, Austria
Overview
Politischer Bezirk Melk is a scenic district in Lower Austria, renowned for its dramatic Wachau landscape, the UNESCO-listed Melk Abbey, and access to the Danube river. With its villages, vineyards, and historic towns, the area blends Austrian tradition with relaxed, nature-focused living.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
77,962
Time Zone
Europe/Vienna
Coordinates
48.21°, 15.24°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
70
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,836
Local Cost
$1,070
Local Income
$2,200
Cashless
75
English
70
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
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
2.0
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 2025-12-06.
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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