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Möllersdorf
City in Lower Austria, Austria
Overview
Möllersdorf is a tranquil suburb of Traiskirchen in Lower Austria, offering a blend of small-town charm and easy access to urban amenities. The town is noted for its proximity to the Vienna Woods and its relaxed pace of life.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
—
Time Zone
Europe/Vienna
Coordinates
48.03°, 16.31°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,808
Local Cost
$1,240
Local Income
$2,600
Cashless
78
English
75
Temperature
9.6°C
Summer Avg
20.0°C
Winter Avg
-0.7°C
Record High
38.5°C
Record Low
-23.0°C
Humidity
77%
Precipitation
736 mm
Internet Speed
261 Mbps
Upload
54 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
56
Walk Score
56
Footways
111.0
Airport
VIE
Distance
21 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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