Burgbrohl
City in Rhineland-Palatinate, Germany
Overview
Burgbrohl is a small, charming village in Rhineland-Palatinate, Germany, set at the foothills of the Eifel region. It is known for its rural ambiance, historic sites, and access to beautiful hiking trails and volcanic landscapes.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
3,332
Time Zone
Europe/Berlin
Coordinates
50.45°, 7.28°
Key Metrics
Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
88
Food Safety
96
Monthly Cost · estimate
$1,560
Local Cost
$970
Local Income
$2,300
Cashless
65
English
65
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
126 Mbps
Upload
34 Mbps
Latency
16 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
15
Walk Score
15
Footways
30.0
Airport
CGN
Distance
47 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.