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Dingolshausen
City in Bavaria, Germany
Overview
Dingolshausen is a quaint Bavarian village set near the Steigerwald forest, offering picturesque landscapes and a tranquil pace of life. Known for its traditional wine culture and proximity to nature, it provides visitors with authentic rural German charm.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
1,419
Time Zone
Europe/Berlin
Coordinates
49.91°, 10.39°
Key Metrics
Safety Score · estimate
93
Female Safety
93
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,745
Local Cost
$970
Local Income
$2,600
Cashless
65
English
35
Temperature
9.1°C
Summer Avg
18.8°C
Winter Avg
-0.3°C
Record High
38.5°C
Record Low
-21.3°C
Humidity
81%
Precipitation
710 mm
Internet Speed
132 Mbps
Upload
32 Mbps
Latency
11 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
KZG
Distance
22 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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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