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Arzbach
City in Rhineland-Palatinate, Germany
Overview
Arzbach is a picturesque small town set in the Lahn Valley of Rhineland-Palatinate, Germany. Known for its peaceful atmosphere, spa gardens, and proximity to forests, it offers a relaxing stay away from big-city bustle.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
1,684
Time Zone
Europe/Berlin
Coordinates
50.38°, 7.75°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,671
Local Cost
$982
Local Income
$2,250
Cashless
60
English
45
Temperature
9.2°C
Summer Avg
18.0°C
Winter Avg
0.7°C
Record High
38.7°C
Record Low
-18.6°C
Humidity
82%
Precipitation
785 mm
Internet Speed
110 Mbps
Upload
30 Mbps
Latency
23 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
12.0
Airport
SGE
Distance
43 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 2025-12-08.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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