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Mespelbrunn
City in Bavaria, Germany
Overview
Mespelbrunn is a picturesque Bavarian village renowned for its fairytale castle set among wooded hills and serene countryside. Despite its small size, the town offers a welcoming mix of nature, history, and traditional hospitality, making it a peaceful getaway in the Spessart region.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
2,283
Time Zone
Europe/Berlin
Coordinates
49.91°, 9.29°
Key Metrics
Safety Score · estimate
93
Female Safety
88
LGBTQ+ Safety
72
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,668
Local Cost
$1,020
Local Income
$2,150
Cashless
62
English
55
Temperature
9.3°C
Summer Avg
18.8°C
Winter Avg
0.2°C
Record High
38.5°C
Record Low
-20.5°C
Humidity
81%
Precipitation
753 mm
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
0
Parks
3
Transport
8
Walk Score
8
Footways
16.0
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 2025-12-08.
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: 72/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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