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Neunkirchen am Brand
City in Bavaria, Germany
Overview
Neunkirchen am Brand is a small, picturesque town in Bavaria, just northeast of Erlangen. It's known for its historic old town, tranquil residential areas, and easy access to the scenic Franconian landscape.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
8,141
Time Zone
Europe/Berlin
Coordinates
49.61°, 11.13°
Key Metrics
Safety Score · estimate
93
Female Safety
89
LGBTQ+ Safety
80
Traffic Safety
92
Food Safety
100
Monthly Cost · estimate
$2,063
Local Cost
$1,195
Local Income
$2,375
Cashless
75
English
70
Temperature
8.8°C
Summer Avg
18.7°C
Winter Avg
-0.8°C
Record High
38.4°C
Record Low
-20.2°C
Humidity
80%
Precipitation
706 mm
Internet Speed
266 Mbps
Upload
58 Mbps
Latency
10 ms
City Vibrancy
3
Coworking
0
Cafes
2
Nightlife
0
Parks
1
Transport
100
Walk Score
100
Footways
1048.0
Airport
NUE
Distance
13 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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