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Ursensollen
City in Bavaria, Germany
Overview
Ursensollen is a picturesque Bavarian municipality set in green rolling hills near Amberg. Known for its peaceful rural atmosphere, it offers visitors an authentic taste of local village life and access to beautiful hiking and cycling trails.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
3,843
Time Zone
Europe/Berlin
Coordinates
49.40°, 11.76°
Key Metrics
Safety Score · estimate
95
Female Safety
92
LGBTQ+ Safety
80
Traffic Safety
93
Food Safety
97
Monthly Cost · estimate
$1,852
Local Cost
$1,185
Local Income
$2,100
Cashless
70
English
55
Temperature
8.5°C
Summer Avg
18.5°C
Winter Avg
-1.3°C
Record High
37.7°C
Record Low
-23.2°C
Humidity
80%
Precipitation
710 mm
Internet Speed
80 Mbps
Upload
25 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
15
Walk Score
15
Footways
30.0
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 2025-12-07.
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: 85/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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