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Esthal
City in Rhineland-Palatinate, Germany
Overview
Esthal is a charming, small village set in the Palatinate Forest, known for its tranquil setting and lush natural surroundings. It offers a genuine taste of rural Rhineland-Palatinate, perfect for hikers and those seeking peaceful countryside experiences.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
1,349
Time Zone
Europe/Berlin
Coordinates
49.38°, 7.98°
Key Metrics
Safety Score · estimate
87
Female Safety
80
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,757
Local Cost
$995
Local Income
$2,400
Cashless
60
English
55
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
13
Walk Score
13
Footways
26.0
Airport
RMS
Distance
28 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 2026-01-14.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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