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Seßlach
City in Bavaria, Germany
Overview
Seßlach is a beautifully preserved walled medieval town in Bavaria, renowned for its half-timbered houses, charming streets, and authentic Franconian hospitality. With a small population and tranquil ambiance, Seßlach offers a step back in time amidst rolling countryside.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
4,088
Time Zone
Europe/Berlin
Coordinates
50.19°, 10.84°
Key Metrics
Safety Score · estimate
93
Female Safety
88
LGBTQ+ Safety
70
Traffic Safety
91
Food Safety
98
Monthly Cost · estimate
$1,579
Local Cost
$1,000
Local Income
$2,400
Cashless
68
English
60
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
57 Mbps
Upload
34 Mbps
Latency
44 ms
City Vibrancy
3
Coworking
0
Cafes
2
Nightlife
1
Parks
0
Transport
8
Walk Score
8
Footways
15.0
Airport
URD
Distance
49 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 2025-12-07.
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: 77/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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