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Neunkirchen am Sand
City in Bavaria, Germany
Overview
Neunkirchen am Sand is a charming Bavarian town set between forests and rolling hills. With a small population and a friendly local atmosphere, it's known for its traditional architecture and natural beauty, making it a relaxing escape from city life.
Geographic Context
Jurisdiction
Germany
Land
Bavaria
Population
4,782
Time Zone
Europe/Berlin
Coordinates
49.52°, 11.32°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,950
Local Cost
$1,157
Local Income
$2,650
Cashless
73
English
65
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
57 Mbps
Upload
25 Mbps
Latency
9 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
46
Walk Score
46
Footways
91.0
Airport
NUE
Distance
18 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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