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Politischer Bezirk Tulln
City in Lower Austria, Austria
Overview
Politischer Bezirk Tulln lies in Lower Austria along the Danube River and boasts a blend of rich history, scenic landscapes, and lively small-town life. The district is known for its historic towns, picturesque vineyards, and cultural diversity, making it ideal for relaxed and scenic getaways.
Geographic Context
Jurisdiction
Austria
State
Lower Austria
Population
103,771
Time Zone
Europe/Vienna
Coordinates
48.30°, 16.00°
Key Metrics
Safety Score · estimate
91
Female Safety
88
LGBTQ+ Safety
77
Traffic Safety
85
Food Safety
96
Monthly Cost · estimate
$2,135
Local Cost
$1,280
Local Income
$2,350
Cashless
85
English
72
Temperature
9.8°C
Summer Avg
20.4°C
Winter Avg
-0.7°C
Record High
37.9°C
Record Low
-27.4°C
Humidity
77%
Precipitation
659 mm
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
0
Walk Score
0
Footways
—
Airport
VIE
Distance
47 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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