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Wörth an der Donau

City in Bavaria, Germany

Overview

Wörth an der Donau is a picturesque small town along the Danube in Bavaria, Germany, known for its well-preserved historic center and riverside charm. It offers a tranquil base for exploring the Bavarian countryside, with easy access to nature and local culture.

Geographic Context

Jurisdiction
Germany
Land
Bavaria
Population
5,148
Time Zone
Europe/Berlin
Coordinates
49.00°, 12.41°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,970
Local Cost
$1,135
Local Income
$2,350
Cashless
80
English
70
Temperature
8.6°C
Summer Avg
18.4°C
Winter Avg
-1.2°C
Record High
35.8°C
Record Low
-22.9°C
Humidity
81%
Precipitation
785 mm
City Vibrancy
3
Coworking
0
Cafes
2
Nightlife
0
Parks
1
Transport
23
Walk Score
23
Footways
46.0
Airport
RBM
Distance
14 km

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 2025-12-07.
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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