Rheinbrohl
City in Rhineland-Palatinate, Germany
Overview
Rheinbrohl is a peaceful riverside village in Rhineland-Palatinate, Germany, known for its historic roots and natural beauty along the Rhine. Despite its small population, the town offers charming streets, scenic landscapes, and access to long-distance walking trails.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
4,165
Time Zone
Europe/Berlin
Coordinates
50.50°, 7.33°
Key Metrics
Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,823
Local Cost
$1,132
Local Income
$2,100
Cashless
72
English
62
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
58 Mbps
Upload
21 Mbps
Latency
11 ms
City Vibrancy
10
Coworking
0
Cafes
2
Nightlife
1
Parks
7
Transport
19
Walk Score
19
Footways
37.0
Airport
CGN
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 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.