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Gutenberg
City in Rhineland-Palatinate, Germany
Overview
Gutenberg is a charming village in Rhineland-Palatinate, Germany, set amidst rolling hills and lush vineyards. Its peaceful atmosphere, local traditions, and picturesque scenery make it a delightful destination for a relaxing getaway.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
1,246
Time Zone
Europe/Berlin
Coordinates
49.88°, 7.80°
Key Metrics
Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
78
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,745
Local Cost
$1,050
Local Income
$2,200
Cashless
68
English
50
Temperature
9.2°C
Summer Avg
18.2°C
Winter Avg
0.6°C
Record High
38.9°C
Record Low
-19.2°C
Humidity
82%
Precipitation
720 mm
Internet Speed
1 Mbps
Upload
0 Mbps
Latency
40 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
HHN
Distance
39 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 2026-01-15.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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