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Binswangen
City in Bavaria, Germany
Overview
Binswangen is a small and charming village in Bavaria, Germany, offering a peaceful atmosphere and authentic rural German culture. With historic structures and scenic countryside views, it's a great escape from city crowds and an entry to Swabian traditions.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,413
Time Zone
Europe/Berlin
Coordinates
48.56°, 10.64°
Key Metrics
Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
72
Traffic Safety
83
Food Safety
98
Monthly Cost · estimate
$1,848
Local Cost
$1,106
Local Income
$2,350
Cashless
82
English
58
Temperature
8.9°C
Summer Avg
18.1°C
Winter Avg
-0.3°C
Record High
33.4°C
Record Low
-18.8°C
Humidity
81%
Precipitation
792 mm
Internet Speed
32 Mbps
Upload
9 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
6.0
Airport
AGB
Distance
26 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 2025-12-08.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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