Frankenstein
City in Rhineland-Palatinate, Germany
Overview
Frankenstein is a picturesque village in Rhineland-Palatinate, Germany, set against the backdrop of the Palatinate Forest. Its medieval castle, tranquil nature, and charming atmosphere make it an inviting stop for rural exploration and relaxation.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
909
Time Zone
Europe/Berlin
Coordinates
49.44°, 7.98°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,568
Local Cost
$990
Local Income
$2,250
Cashless
55
English
35
Temperature
10.1°C
Summer Avg
19.7°C
Winter Avg
1.1°C
Record High
39.5°C
Record Low
-20.7°C
Humidity
79%
Precipitation
677 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
36
Walk Score
36
Footways
71.0
Airport
RMS
Distance
27 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 2026-03-23.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.