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Annweiler am Trifels
City in Rhineland-Palatinate, Germany
Overview
Annweiler am Trifels is a quaint town in the Palatinate Forest, famed for its medieval castle and picturesque setting. Its timber-framed architecture, forested surroundings, and rich history make it a relaxing escape for history buffs and nature lovers alike.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
7,249
Time Zone
Europe/Berlin
Coordinates
49.21°, 7.98°
Key Metrics
Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
94
Food Safety
98
Monthly Cost · estimate
$1,883
Local Cost
$1,110
Local Income
$2,100
Cashless
65
English
55
Temperature
10.6°C
Summer Avg
20.2°C
Winter Avg
1.3°C
Record High
39.8°C
Record Low
-17.2°C
Humidity
78%
Precipitation
738 mm
City Vibrancy
21
Coworking
0
Cafes
5
Nightlife
2
Parks
14
Transport
85
Walk Score
85
Footways
169.0
Airport
RMS
Distance
38 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.
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