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Welschbillig

City in Rhineland-Palatinate, Germany

Overview

Welschbillig is a charming village in Rhineland-Palatinate, Germany, known for its historic castle ruins and scenic countryside. The town offers a glimpse into traditional German rural life, surrounded by lively vineyards and tranquil parks.

Geographic Context

Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
2,654
Time Zone
Europe/Berlin
Coordinates
49.85°, 6.57°

Key Metrics

Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,735
Local Cost
$1,090
Local Income
$2,600
Cashless
60
English
50
Temperature
8.8°C
Summer Avg
17.5°C
Winter Avg
0.4°C
Record High
38.7°C
Record Low
-19.8°C
Humidity
83%
Precipitation
761 mm
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
14
Walk Score
14
Footways
28.0
Airport
BBJ
Distance
11 km

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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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