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Langenzenn
City in Bavaria, Germany
Overview
Langenzenn is a quaint, historical town in Bavaria, Germany, with medieval roots and a friendly community. It offers a peaceful atmosphere, picturesque streets, and easy access to nature, making it suitable for a relaxing getaway.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
10,924
Time Zone
Europe/Berlin
Coordinates
49.49°, 10.79°
Key Metrics
Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
83
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,932
Local Cost
$1,125
Local Income
$2,500
Cashless
65
English
58
Temperature
9.0°C
Summer Avg
18.7°C
Winter Avg
-0.3°C
Record High
38.5°C
Record Low
-20.3°C
Humidity
80%
Precipitation
720 mm
Internet Speed
1 Mbps
Upload
11 Mbps
Latency
35 ms
City Vibrancy
7
Coworking
0
Cafes
2
Nightlife
3
Parks
2
Transport
45
Walk Score
45
Footways
89.0
Airport
NUE
Distance
21 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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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